Model Based Targeting of IL-6-Induced Inflammatory Responses in Cultured Primary Hepatocytes to Improve Application of the JAK Inhibitor Ruxolitinib
Open accessAbstract
IL-6 is a central mediator of the immediate induction of hepatic acute phase proteins (APP) in the liver during infection and after injury, but increased IL-6 activity has been associated with multiple pathological conditions. In hepatocytes, IL-6 activates JAK1-STAT3 signaling that induces the negative feedback regulator SOCS3 and expression of APPs. While different inhibitors of IL-6-induced JAK1-STAT3-signaling have been developed, understanding their precise impact on signaling dynamics requires a systems biology approach. Here we present a mathematical model of IL-6-induced JAK1-STAT3 signaling that quantitatively links physiological IL-6 concentrations to the dynamics of IL-6-induced signal transduction and expression of target genes in hepatocytes. The mathematical model consists of coupled ordinary differential equations (ODE) and the model parameters were estimated by a maximum likelihood approach, whereas identifiability of the dynamic model parameters was ensured by the Profile Likelihood. Using model simulations coupled with experimental validation we could optimize the long-term impact of the JAK-inhibitor Ruxolitinib, a therapeutic compound that is quickly metabolized. Model-predicted doses and timing of treatments helps to improve the reduction of inflammatory APP gene expression in primary mouse hepatocytes close to levels observed during regenerative conditions. The concept of improved efficacy of the inhibitor through multiple treatments at optimized time intervals was confirmed in primary human hepatocytes. Thus, combining quantitative data generation with mathematical modeling suggests that repetitive treatment with Ruxolitinib is required to effectively target excessive inflammatory responses without exceeding doses recommended by the clinical guidelines.
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Written from the paper’s full text.
TL;DR
The authors built and calibrated an ODE model of IL-6-induced JAK1-STAT3 signaling in primary mouse hepatocytes and used it to design Ruxolitinib schedules that suppress inflammatory acute-phase gene expression while preserving regenerative levels. Model-predicted triple dosing outperformed single treatment in mouse and human hepatocytes.
Key findings
- Physiological IL-6 peaked at 2 h after partial hepatectomy at 1.4 ng/mL (±0.3 ng/mL SD; n = 3) and after LPS at 201.8 ng/mL (±77.8 ng/mL SD; n = 5); STAT3-based local equivalents corresponded to 6.8–7.9 ng/mL hIL-6 for PHx and 28.1–500 ng/mL hIL-6 for LPS, or 1.8 and 50 ng/mL mouse IL-6, respectively.
- Microarray analysis identified 1,728 significantly IL-6-regulated genes, with 723 early, 779 intermediate, and 694 late response genes; Socs3 and Cxcl10 were early, Fgg/Hamp/Il33 intermediate/late, and Apcs, Hp, and Hpx late.
- The model comprised 25 ODEs and was calibrated with 3,090 data points; it predicted and experimental validation confirmed that Ruxolitinib reduces sensitivity of APP gene expression, with long-term efficacy decreasing after single treatment.
- Optimized triple Ruxolitinib treatment in mouse hepatocytes (500 nM at t = 0 h, 191 nM at 8 and 16 h) improved suppression of nuclear STAT3 and APP genes versus single treatment, reducing inflammatory 100 ng/mL hIL-6 responses toward regenerative 7.5 ng/mL levels; in human hepatocytes, the equivalent triple schedule (50 nM then 19 nM at 8 and 16 h) was also more effective than single treatment.
Methods
- An ODE-based, two-compartment model of IL-6-induced JAK1-STAT3 signaling in primary mouse hepatocytes was built using mass-action kinetics, including receptor activation, STAT3 translocation, SOCS3 feedback, and inhibitor effects; parameters were estimated by maximum likelihood with profile likelihood for identifiability, in two stages (core signaling and downstream APP genes).
- Data came from primary mouse hepatocytes, mKate2-STAT3 knock-in reporter mice, and primary human hepatocytes from three donors; measurements included quantitative immunoblotting, multiplexed bead-based immunoassays, quantitative mass spectrometry, qRT-PCR, microarray, and live-cell imaging.
- Model predictions were tested experimentally by treating hepatocytes with hIL-6 at basal, regenerative, and inflammatory concentrations, with or without Ruxolitinib or Stattic, and comparing single versus triple Ruxolitinib dosing using nuclear STAT3 and target gene expression readouts.
Limitations
- The paper states that APP protein production was not assessed experimentally and was not considered in the model; the model scope focused on JAK-STAT and omitted MAPK signaling.
- The mKate2-STAT3 reporter mice were only available as heterozygotes, the fusion protein was expressed at a slightly lower level than endogenous STAT3, and strong hepatocyte autofluorescence limited imaging analysis.
- Stattic was toxic and applied for a maximum of 2 h; the Ruxolitinib schedule was chosen by visual inspection rather than formal optimization because it was unclear how to prioritize different APP genes.
- Evident from the text: validation used ex vivo primary hepatocytes, not in vivo disease models, and human validation was limited to three donors with underlying disease, without clinical outcome data.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
30 of 91 cited sources checked · 21 supported · 0 flagged · accuracy not yet measured
- Premisecitation
gp130 and JAK1 are pre-associated.
“gp130 and JAK1 were described to be pre-associated (Behrmann et al., 2004) and were modeled as one complex JAK1_gp130 with different activation states”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Behrmann et al., 2004 source
- Premisecitation
Ruxolitinib negatively influences JAK1-dependent reactions, specifically the generation of pJAK1_gp130 and pJAK1_pgp130.
“The JAK inhibitor Ruxolitinib (Lin et al., 2009; Quintas-Cardama et al., 2010) negatively influences JAK1-dependent reactions in the model, specifically the generation of pJAK1_gp130 and pJAK1_pgp130.”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
The ratio of cytoplasmic to nuclear volume of primary mouse hepatocytes is 12.67/0.5 pL for frequently binucleated hepatocytes.
“The previously determined (Mueller et al., 2015) ratio of cytoplasmic to nuclear volume of primary mouse hepatocytes (12.67/0.5 pL, for frequently binucleated hepatocytes) facilitated modeling of concentration changes due to inter-compartmental transport processes.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Mueller et al., 2015 source
The Results section (Analysis of G1/S phase progression and abundance of pathway proteins; page unavailable) says the authors measured a total primary mouse hepatocyte volume of 12.92 ± 0.62 pL by confocal microscopy. Our copy does not give the claimed 12.67/0.5 pL cytoplasmic-to-nuclear breakdown or tie those values to binucleated hepatocytes. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Interpretationcitation
The accumulation of IL-6 after PHx is likely a result of increased IL-6 secretion by Kupffer cells to promote an efficient regenerative response.
“This is likely a result of an increased IL-6 secretion by Kupffer cells (Aldeguer et al., 2002) to promote an efficient regenerative response.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Aldeguer et al., 2002 source
- Interpretationcitation
CXCL10 and IL-33 might contribute to the amplification of inflammatory responses by acting on T-cells and innate immune cells.
“By acting on T-cells and innate immune cells (Miller, 2011; Brownell and Polyak, 2013), CXCL10 and IL-33 might contribute to the amplification of inflammatory responses.”
Quote in the paperNot a substantial claim2 of 2 sources checked
- Premisecitation
The ability of IL-10 to induce signaling via JAK1/STAT3 is primarily restricted to cells of the immune system, such as macrophages and dendritic cells.
“the ability of IL-10 to induce signaling via JAK1/STAT3 appears primarily restricted to cells of the immune system, such as macrophages and dendritic cells”
Quote in the paperSubstantial claim1 of 2 sources checked - Premisecitation
The hepatic acute phase response is largely regulated at the transcriptional level.
“the hepatic acute phase response is largely regulated at the transcriptional level”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Andus et al., 1988 source
The introduction (page not available in our copy) says that increases in rat acute-phase proteins are preceded by increases in their mRNA levels, supporting a role for regulation of mRNA abundance. The later discussion also notes an effect of IL-6 on mRNA induction, but reports a selective posttranslational effect on secretion. The paper does not establish that the hepatic acute-phase response as a whole is largely regulated at the transcriptional level. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites Heinrich et al., 1990 source
- Findingcitation
Determined serum IL-6 levels agree with previously reported values after PHx (1-2 ng/mL) and LPS treatment (175 ng/mL) of mice.
“Determined serum levels agree with previously reported values after PHx (1–2 ng/mL; Nechemia-Arbely et al., 2011; Yin et al., 2011) and LPS treatment (175 ng/mL; Piao et al., 2013) of mice.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Nechemia-Arbely et al., 2011 source
- cites Yin et al., 2011 source
The Enhanced Inflammatory Response section reports serum IL-6 measurements in mice after partial hepatectomy, and the text accompanying Figure 4 says levels were higher in IL-10–deficient mice than in wild-type mice at 32 and 40 hours. Our copy does not give the cited 1–2 ng/mL value. The 175 ng/mL value after LPS treatment is attributed to Piao et al., not to this source. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Piao et al., 2013 source
The ‘TF5 Blunts LPS-Induced Cytokine Response’ section reports measuring circulating IL-6 after LPS treatment of mice, and the Fig. 4 caption specifies that the samples were plasma. Our copy does not state the cited value of 175 ng/mL or identify the samples as serum. The PHx values are attached to other citations, not Piao et al. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Findingown data
IL-6 amounts in response to LPS injection peaked at 2 h, reaching 201.8 ng/mL (±77.8 ng/mL SD; n = 5).
“Similarly, IL-6 amounts in response to LPS injection peaked at 2 h, but reached considerably higher concentrations of 201.8 ng/mL (±77.8 ng/mL SD; n = 5).”
Quote in the paperSubstantial claim - Findingown data
Well-established IL-6 targets Socs3 and the APP genes Apcs, Fgg, and Hamp were major contributors to both stimulus-specific and time-dependent regulation.
“We found well-established IL-6 targets, such as Socs3 and the APP genes Apcs, Fgg, and Hamp to be major contributors to both, stimulus-specific and time-dependent, regulation (Figure 2B).”
Quote in the paperNot a substantial claim - Findingcitation
The background IL-6 concentration in untreated mice was <10 pg/mL.
“The background IL-6 concentration in untreated mice was <10 pg/mL, which corresponds to previously reported values (Huang et al., 2003).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Huang et al., 2003 source
- Findingown data
Peak phospho-STAT3 signals corresponded to human IL-6 concentration ranges for PHx (6.8-7.9 ng/mL; average 7.4 ng/mL) and LPS (28.1-500 ng/mL; average 264.1 ng/mL).
“In line with IL-6 serum concentrations (Figure 1A), peak phospho-STAT3 signals corresponded to human IL-6 concentration ranges for PHx (6.8–7.9 ng/mL; average: 7.4 ng/mL) and LPS (28.1–500 ng/mL; average: 264.1 ng/mL).”
Quote in the paperSubstantial claim - Findingown data
Cxcl10 was an early-induced gene.
“Another early-induced gene was Cxcl10.”
Quote in the paperNot a substantial claim - Findingown data
The amplitude of STAT3 activation after LPS treatment was more than twice as high as in the case of PHx.
“The amplitude of STAT3 activation after LPS treatment was more than twice as high as in the case of PHx.”
Quote in the paperSubstantial claim - Findingown data
The authors combined model predictions with experimental validation to optimize long-term Ruxolitinib-mediated reduction of APP gene expression while maintaining regenerative gene expression levels without excessive inhibitor concentrations.
“We combined model predictions with experimental validation to optimize the long-term Ruxolitinib-mediated reduction of APP gene expression, while maintaining gene expression levels that are present during regenerative conditions without employing excessive inhibitor concentrations.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Constant IL-6 concentrations and complete removal of ligand after stimulation pulses can be assumed in the model.
- The authors state this as an assumption: Dephosphorylation of gp130 and JAK1 is coupled.
- The authors state this as an assumption: The law of mass-action kinetics applies to the modeled reactions.
- The authors state this as an assumption: Stattic inhibition is irreversible and its concentrations can be modeled as constant.
- The authors state this as an assumption: A separate STAT3 dimerization step can be neglected because the oligomerization state of STAT3 was not assessed by experiments.
- Findingown data
The peak phospho-STAT3 signal after PHx approximately corresponded to an IL-6 concentration equivalent to 6.8-7.9 ng/mL hIL-6.
“The peak phospho-STAT3 signal (average ± SEM of 2 and 3 h time points) after PHx approximately corresponded to an IL-6 concentration equivalent to 6.8–7.9 ng/mL hIL-6.”
Quote in the paperSubstantial claim - Findingown data
Intermediate and late IL-6-response genes showed more than 40% overlap.
“Intermediate and late IL-6-response genes showed more than 40% overlap.”
Quote in the paperNot a substantial claim - Findingown data
Socs3 was induced at early, intermediate, and late time points.
“Significantly regulated genes included Socs3, which was induced at early, intermediate, and late time points.”
Quote in the paperNot a substantial claim - Findingown data
STAT3 phosphorylation at Tyr-705 was rapidly and transiently induced after PHx and LPS treatment.
“Phospho-STAT3 levels were measured using multiplexed bead-based arrays (Figure 1B), revealing rapid and transient induction of STAT3 activation after PHx and LPS treatment.”
Quote in the paperSubstantial claim - Findingown data
Serum IL-6 levels were rapidly but transiently induced in response to PHx and LPS treatment.
“We observed rapid but transient induction of serum IL-6 in response to PHx and LPS treatment (Figure 1A).”
Quote in the paperSubstantial claim - Findingown data
The peak phospho-STAT3 signal after LPS approximately corresponded to a signal obtained with 28.1-500 ng/mL hIL-6.
“In the case of LPS, the peak phospho-STAT3 signal (average ± SEM of 1 and 2 h time points) approximately corresponded to a signal obtained with 28.1–500 ng/mL hIL-6.”
Quote in the paperSubstantial claim - Findingown data
The APP genes Fgg, Hamp, and Il33 were induced at intermediate and late time points.
“We found the APP genes Fgg, Hamp, and Il33 to be induced at intermediate and late time points, whereas compared with control Apcs was increased only at late time points.”
Quote in the paperNot a substantial claim - Findingown data
Model-predicted doses and timing of treatments improve reduction of inflammatory APP gene expression in primary mouse hepatocytes close to levels observed during regenerative conditions.
“Model-predicted doses and timing of treatments helps to improve the reduction of inflammatory APP gene expression in primary mouse hepatocytes close to levels observed during regenerative conditions.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Constant IL-6 concentrations and complete removal of ligand after stimulation pulses can be assumed in the model.
- The authors state this as an assumption: Dephosphorylation of gp130 and JAK1 is coupled.
- The authors state this as an assumption: The law of mass-action kinetics applies to the modeled reactions.
- The authors state this as an assumption: Stattic inhibition is irreversible and its concentrations can be modeled as constant.
- The authors state this as an assumption: A separate STAT3 dimerization step can be neglected because the oligomerization state of STAT3 was not assessed by experiments.
- Findingown data
In total 1,728 genes were significantly regulated upon hIL-6 stimulation.
“In total 1,728 genes were significantly regulated upon hIL-6 stimulation (Appendix Figure S1A), while 723, 779, and 694 genes were IL-6-regulated at early, intermediate, and late time points, respectively.”
Quote in the paperNot a substantial claim - Findingown data
No major induction of OSM, IL-22, or IL-11 was elicited by partial hepatectomy or by LPS.
“In comparison to the induction of IL-6 protein expression (Figure 1A) and Il6 gene expression (Appendix Figure S14) no major induction of OSM, IL-22, or IL-11 was elicited by partial hepatectomy or by LPS (Appendix Figure S14).”
Quote in the paperSubstantial claim - Findingown data
Dose-dependent STAT3 activation in primary mouse hepatocytes followed a sigmoidal behavior in response to IL-6.
“Dose-dependent STAT3 activation in primary mouse hepatocytes followed a sigmoidal behavior in response to IL-6.”
Quote in the paperSubstantial claim - Findingown data
Compared with control, Apcs was increased only at late time points.
“We found the APP genes Fgg, Hamp, and Il33 to be induced at intermediate and late time points, whereas compared with control Apcs was increased only at late time points.”
Quote in the paperNot a substantial claim - Findingown data
1.8 ng of mouse IL-6 is equally potent to 7.5 ng of human IL-6 on mouse hepatocytes.
“indicating that 1.8 ng of mouse IL-6 is equally potent to 7.5 ng of human IL-6 on mouse hepatocytes.”
Quote in the paperSubstantial claim - Findingcitation
STAT3 activation was also detectable in animals treated with sham surgery.
“STAT3 activation was also detectable in animals treated with sham surgery, which has been reported previously (Cressman et al., 1996; Heim et al., 1997), and which is likely due to stress caused by the surgical procedure.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cressman et al., 1996; Heim et al., 1997
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Findingown data
The paper presents an ODE model of IL-6-induced JAK1-STAT3 signaling in primary mouse hepatocytes.
“Here we present an ODE model of IL-6-induced JAK1-STAT3 signaling in primary mouse hepatocytes.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Constant IL-6 concentrations and complete removal of ligand after stimulation pulses can be assumed in the model.
- The authors state this as an assumption: Dephosphorylation of gp130 and JAK1 is coupled.
- The authors state this as an assumption: The law of mass-action kinetics applies to the modeled reactions.
- The authors state this as an assumption: Stattic inhibition is irreversible and its concentrations can be modeled as constant.
- The authors state this as an assumption: A separate STAT3 dimerization step can be neglected because the oligomerization state of STAT3 was not assessed by experiments.
- Findingown data
LPS caused 100-fold higher peak IL-6 levels compared to PHx.
“However, LPS caused 100-fold higher peak IL-6 levels, compared to PHx.”
Quote in the paperSubstantial claim - Findingown data
Peak IL-6 levels were detected 2 h post PHx with 1.4 ng/mL (±0.3 ng/mL SD; n = 3).
“Peak IL-6 levels were detected 2 h post PHx with 1.4 ng/mL (±0.3 ng/mL SD; n = 3).”
Quote in the paperSubstantial claim - Findingreasoning
Improved efficacy of Ruxolitinib through multiple treatments at optimized time intervals was confirmed in primary human hepatocytes.
“The concept of improved efficacy of the inhibitor through multiple treatments at optimized time intervals was confirmed in primary human hepatocytes.”
Quote in the paperSubstantial claim - Findingown data
The late IL-6 response was enriched for genes relevant in the acute phase response.
“Enrichment analysis of respective gene lists showed that the late IL-6 response was enriched for genes relevant in the acute phase response (Appendix Figure S1B).”
Quote in the paperNot a substantial claim - Findingown data
Murine IL-6 is more potent to elicit STAT3 phosphorylation in murine hepatocytes compared to hIL-6, with an overall shift of the dose-response curve to lower IL-6 concentrations.
“As shown in Figure 1D, this revealed that murine IL-6 is more potent to elicit STAT3 phosphorylation in murine hepatocytes compared to hIL-6 with an overall shift of the dose-response curve to lower IL-6 concentrations.”
Quote in the paperSubstantial claim - Findingown data
Hp and Hpx were not significantly regulated in the microarray analysis.
“The APP genes Hp and Hpx were not significantly regulated in our microarray analysis (Figure 2C), but have previously been reported to be IL-6 responsive and STAT3-dependent (Alonzi et al., 2001).”
Quote in the paperNot a substantial claim - Findingown data
Apcs is a late-regulated gene.
“Apcs was found to be a late-regulated gene.”
Quote in the paperNot a substantial claim - Findingown data
At 25 min with 500 ng/mL hIL-6, nuclear mKate2-STAT3 concentration exceeded cytoplasmic by a factor of 3 (nuc/cyt ratio ≈3).
“At 25 min (500 ng/mL hIL-6), the nuclear mKate2-STAT3 concentration exceeded cytoplasmic mKate2-STAT3 by a factor of 3 (STAT3 nuc/cyt ratio of ≈3; Figure 3D).”
Quote in the paperSubstantial claim - Findingown data
After an initial peak at 1 h, Cxcl10 expression levels decreased below those observed in untreated cells.
“After an initial peak at 1 h Cxcl10 expression levels decreased below those observed in untreated cells.”
Quote in the paperNot a substantial claim - Findingreasoning
The model predicted that Ruxolitinib treatment reduces sensitivity of the response for most APP genes.
“In analogy to the inhibition of Socs3 mRNA induction (Figure 5D), the model predicted that Ruxolitinb treatment reduces sensitivity of the response for most APP genes (Figure 6).”
Quote in the paperSubstantial claim - Findingown data
Fgg, Hamp, and Il33 showed sustained activation with high expression levels up to 24 h of IL-6 treatment.
“All three genes showed sustained activation with high expression levels up to 24 h of IL-6 treatment, thus validating our microarray analysis which identified Fgg, Hamp, and Il33 to be significantly regulated at intermediate and late time points.”
Quote in the paperNot a substantial claim - Findingown data
SOCS3 protein expression upon IL-6 treatment shows a transient dynamic resembling mRNA expression profiles.
“Further, SOCS3 protein expression was determined upon treatment with different concentrations of IL-6 (Appendix Figures S43–S45) and we observed a transient protein expression dynamic that resembles the mRNA expression profiles.”
Quote in the paperNot a substantial claim - Findingcitation
The efficacy of Ruxolitinib decreased with increasing incubation time.
“In line with the previous observation in a clinical trial (Shi et al., 2011), the efficacy of Ruxolitinib decreased with increasing incubation time.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Shi et al., 2011 source
- Findingown data
Socs3 expression showed a sharp peak with high amplitude at 1 h of hIL-6 treatment.
“Socs3 expression showed a sharp peak with high amplitude at 1 h of hIL-6 treatment.”
Quote in the paperNot a substantial claim - Findingown data
The long-term efficacy of Ruxolitinib in primary mouse hepatocytes was reduced in the case of intermediate/late APP genes.
“As observed previously in the case of Socs3 mRNA expression at 1, 6, and 24 h (Figure 5D), the long-term efficacy of Ruxolitinb in primary mouse hepatocytes was reduced in the case of intermediate/late APP genes (Figures 6B,C and Appendix Figures S5B,C).”
Quote in the paperSubstantial claim - Findingown data
Cxcl10 and Socs3 are early-response genes.
“In agreement with the microarray analysis, we found Cxcl10 and Socs3 to be early-response genes.”
Quote in the paperNot a substantial claim - Findingown data
Dephosphorylation and dissociation of STAT3 in the nucleus is very fast.
“Based on model identifiability analysis, it was concluded that dephosphorylation and dissociation of STAT3 in the nucleus is very fast.”
Quote in the paperSubstantial claim - Findingown data
Following hIL-6 stimulation, mKate2-STAT3 quickly accumulated in the nucleus.
“Following hIL-6 stimulation, mKate2-STAT3 quickly accumulated in the nucleus.”
Quote in the paperSubstantial claim - Findingcitation
The site-specific degree of Tyr-705 phosphorylation of STAT3 at maximal activation is 54.4% at 18 min with 40 ng/mL hIL-6.
“Using quantitative mass spectrometry (Hahn et al., 2011), we determined the site-specific degree of Tyr-705 phosphorylation of STAT3 at the time point of maximal activation (54.4% at 18 min, 40 ng/mL hIL-6; Figure 3C).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hahn et al., 2011 source
- Findingown data
Socs3 mRNA is rapidly induced after IL-6 stimulation with a peak time of 40 min.
“Socs3 mRNA was measured by qRT-PCR, revealing rapid induction after IL-6 stimulation with a peak time of 40 min.”
Quote in the paperNot a substantial claim - Findingown data
Cxcl10 was transiently induced by hIL-6.
“Cxcl10 was transiently induced by hIL-6.”
Quote in the paperNot a substantial claim - Findingown data
Socs3 was expressed earlier than any of the APP genes.
“Socs3 was expressed earlier than any of the APP genes.”
Quote in the paperNot a substantial claim - Findingown data
qPCR analysis identified Hp and Hpx to be late-response genes with increased expression at 24 and 48 h of IL-6 treatment.
“qPCR analysis identified Hp and Hpx to be late-response genes with increased expression at 24 and 48 h of IL-6 treatment (Figure 4 and Appendix Figure S10).”
Quote in the paperSubstantial claim - Findingown data
hIL-6-induced phosphorylation of gp130, JAK1, and STAT3 was transient with a peak around 20 min.
“hIL-6-induced phosphorylation of gp130, JAK1, and STAT3 was transient displaying a peak at around 20 min.”
Quote in the paperSubstantial claim - Findingown data
Socs3 mRNA responds to IL-6 treatment in a highly sensitive manner.
“We further identified Socs3 mRNA to respond to IL-6 treatment in a highly sensitive manner (Figure 5A).”
Quote in the paperSubstantial claim - Findingcitation
In unstimulated cells, mKate2-STAT3 is equally distributed between cytoplasm and nucleus (nuc/cyt ratio 1).
“In unstimulated cells, mKate2-STAT3 was equally distributed between cytoplasm and nucleus (STAT3 nuc/cyt ratio of 1), in accordance with the previously reported continuous shuttling of STAT3 independent of its activation state (Liu et al., 2005; Reich and Liu, 2006).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Findingown data
Phospho-gp130, -JAK1, and -STAT3 subsequently declined but did not reach basal levels within the observed time frame.
“Phospho-gp130, -JAK1, and -STAT3 subsequently declined, but did not reach basal levels within the observed time frame (Figure 3B).”
Quote in the paperNot a substantial claim - Findingown data
Background Socs3 mRNA expression in unstimulated hepatocytes did not change over time, indicating a specific response.
“Background Socs3 mRNA expression in unstimulated hepatocytes did not change over time, indicating a specific response (Figure 3E).”
Quote in the paperNot a substantial claim - Findingown data
qPCR validation revealed a steady decrease of Apcs expression in untreated cells.
“qPCR-based validation revealed a steady decrease of Apcs expression in untreated cells.”
Quote in the paperNot a substantial claim - Findingown data
Based on experimental data, the nuclear dephosphorylation rate is high.
“Based on the experimental data, we identified the nuclear dephosphorylation rate to be high.”
Quote in the paperSubstantial claim - Findingown data
Ruxolitinib-mediated reduction of hIL-6 target gene expression in murine hepatocytes was less effective at advanced time points.
“Continuous suppression of elevated IL-6-induced APP gene expression would be required to counteract inappropriate inflammatory responses, but Ruxolitinib-mediated reduction of hIL-6 target gene expression in murine hepatocytes was less effective at advanced time points (Figures 5, 6).”
Quote in the paperSubstantial claim - Findingown data
Predictions for integrated target gene expression at 24 h revealed that applying the first treatment at t = 0 h simultaneously with IL-6 start would be superior to pre-treatment at 1 h before IL-6.
“Predictions for the integrated target gene expression at time point 24 h furthermore revealed that applying the first treatment at t = 0 h, simultaneously with the start of IL-6 treatment, would be superior to the previously applied pre-treatment with Ruxolitinib at 1 h before IL-6 stimulation (Appendix Figure S8).”
Quote in the paperSubstantial claim - Findingown data
Triple Ruxolitinib treatment led to improved suppression of most genes compared with single treatment.
“Triple Ruxolitinib treatment lead to improved suppression of most genes, compared with single Ruxolitinib treatment (Figure 8 and Appendix Figure S7).”
Quote in the paperSubstantial claim - Findingown data
In primary mouse hepatocytes, IL-6 induces time-dependent regulation of Socs3, Hamp, Fgg, Apcs, Hp, Hpx, Cxcl10, and Il33.
“We established the time-dependent regulation of previously known IL-6 targets including Socs3 (Starr et al., 1997), Hamp (Wrighting and Andrews, 2006; Pietrangelo et al., 2007), Fgg, Apcs, Hp, Hpx (Alonzi et al., 2001) as well as of two less well-established targets, Cxcl10 and Il33.”
Quote in the paperSubstantial claim - Findingown data
The model predicted which three Ruxolitinib doses in even time intervals would effectively counteract loss of the inhibitor due to degradation.
“The model predicted which three Ruxolitinib doses in even time intervals would effectively counteract loss of the inhibitor due to degradation (Figures 7B, 8A).”
Quote in the paperSubstantial claim - Findingown data
In qPCR analysis, no elevation of mRNAs encoding Il11, Osm, and Il22 was observed within the time frame of maximal STAT3 phosphorylation in liver lysates from LPS or PHx mice.
“In these experiments we did not observe an elevation of the mRNAs encoding these cytokines within the time frame of maximal STAT3 phosphorylation detected in the liver lysates from the corresponding mice, at 1 h in LPS treated mice and at 2 h in hepatectomized mice, respectively (Figure 1B).”
Quote in the paperSubstantial claim - Findingown data
IL-6 induces strong and sustained induction of Il33 mRNA in primary mouse hepatocytes.
“We observed strong and sustained induction of Il33 mRNA (Figure 4)”
Quote in the paperSubstantial claim - Findingown data
After LPS injection, IL-6 levels were similar in serum and hepatocyte microenvironment (serum: 201.8 ng/mL, local: 28.1-500 ng/mL).
“In contrast, IL-6 levels were similar in serum and hepatocyte microenvironment after LPS injection (serum: 201.8 ng/mL, local: 28.1–500 ng/mL).”
Quote in the paperSubstantial claim - Findingown data
Il33 is expressed in response to IL-6 in primary mouse hepatocytes.
“we identified Il33 to be expressed in response to IL-6 in primary mouse hepatocytes.”
Quote in the paperSubstantial claim - Findingown data
IL-6-induced genes can be grouped into early, intermediate, and late responsive genes according to their expression levels at 1, 6, and 24 h after IL-6 stimulation.
“IL-6-induced genes were grouped into early, intermediate, and late responsive genes, according to their expression levels at 1, 6, and 24 h after IL-6 stimulation.”
Quote in the paperNot a substantial claim - Findingown data
In mice, after LPS injection, serum IL-6 peaks at 2 h at 201.8 ng/mL.
“we observed already at 2 h post LPS injection a peak concentration of IL-6 in the serum of 201.8 ng/mL”
Quote in the paperSubstantial claim - Findingown data
The dose-dependent effect of Ruxolitinib on STAT3 phosphorylation in primary human hepatocytes revealed that 50 nM is in the range of the IC50 determined in cells co-treated with hIL-6 and increasing doses of Ruxolitinib.
“The dose-dependent effect of Ruxolitinib on STAT3 phosphorylation in primary human hepatocytes revealed that 50 nM of the inhibitor is in the range of the IC50 determined in cells co-treated with hIL-6 (1 or 10 ng/mL) and increasing doses of Ruxolitinib (up to 5,000 nM; Appendix Figure 12).”
Quote in the paperSubstantial claim - Findingown data
Given 500 nM first bolus at t = 0 h, the model predicted 191 nM Ruxolitinib would be required to replenish full inhibitor potential at 8 and 16 h.
“Given that 500 nM Ruxolitinib would be applied as first bolus at t = 0 h, the model predicted that 191 nM Ruxolitinib would be required to replenish the full inhibitor potential at each, 8 h, and 16 h.”
Quote in the paperSubstantial claim - Findingown data
Triple Ruxolitinib treatment reduced gene expression at inflammatory IL-6 concentrations (100 ng/mL) to levels more closely resembling regenerative conditions (7.5 ng/mL, DMSO control) for all genes.
“Importantly, triple Ruxolitinib treatment reduced gene expression observed at inflammatory IL-6 concentrations (100 ng/mL) to levels more closely resembling regenerative conditions (7.5 ng/mL, DMSO control) for all genes (Figure 8 and Appendix Figure S7).”
Quote in the paperSubstantial claim - Findingown data
Triple Ruxolitinib treatment at equivalent time intervals was more effective than single treatment to suppress IL-6 induced SOCS3 and APP gene expression in primary human hepatocytes.
“In line with the model-based insights, the triple Ruxolitinib treatment at equivalent time intervals was again more effective compared to the single treatment to suppress IL-6 induced SOCS3 and APP gene expression in primary human hepatocytes, confirming our concept.”
Quote in the paperSubstantial claim - Findingown data
The model predicted that higher single doses of Ruxolitinib would lead to larger suppression of APP genes.
“The model predicted that higher single doses of Ruxolitinib would lead to larger suppression of the APP genes.”
Quote in the paperSubstantial claim - Findingown data
IL-6 accumulates in the hepatocyte microenvironment after PHx (serum: 1.4 ng/mL, local: 6.8-7.9 ng/mL).
“By quantifying the hepatic IL-6 concentrations, we provide evidence that IL-6 accumulates in the hepatocyte microenvironment after PHx (serum: 1.4 ng/mL, local: 6.8–7.9 ng/mL).”
Quote in the paperSubstantial claim - Findingown data
For several genes of interest, almost maximal expression was achieved with the lower hIL-6 concentration applied, suggesting saturation at lower IL-6 doses in human hepatocytes compared to murine hepatocytes.
“For several of the genes of interest almost maximal expression was already achieved with the lower hIL-6 concentration applied suggesting that their expression saturated at lower IL-6 doses in human hepatocytes compared to murine hepatocytes.”
Quote in the paperNot a substantial claim - Findingown data
Additional alternatives exist to further suppress the APP response, as observed in parameter sensitivity analysis.
“If we consider the parameter sensitivity analysis (see Figure 7A), we can observe that additional alternatives exist to further suppress the APP response.”
Quote in the paperSubstantial claim - Findingnone given
Single treatment with Ruxolitinib reduces the APP response after treatment with IL-6.
“While the single treatment with Ruxolitinib did reduce the APP response after treatment with IL-6”
Quote in the paperSubstantial claim - Findingreasoning
A model-predicted treatment with a high initial bolus and two following lower doses is necessary for a long-term effect of Ruxolitinib.
“a model-predicted treatment with a high initial bolus and two following lower doses is necessary for a long-term effect of the clinically applied inhibitor Ruxolitinib”
Quote in the paperSubstantial claim - Premisecitation
Low neutrophil counts have been observed in 66% of healthy volunteers treated with 100 mg Ruxolitinib daily.
“Since low neutrophil counts have been observed in 66% of healthy volunteers treated with 100 mg Ruxolitinib daily (q24h; Shi et al., 2011), it is of great importance not to exceed the recommended daily doses.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shi et al., 2011 source
- Interpretationreasoning
Dysregulated APP production may foster pathologic changes during uncontrolled inflammatory responses.
“Dysregulated APP production may thus foster pathologic changes during uncontrolled inflammatory responses.”
Quote in the paperSubstantial claim - Premisecitation
IL-6/STAT3-dependent target genes encode the APPs Fgg, Apcs, Hp, Hpx, Hamp, and Socs3.
“IL-6/STAT3-dependent target genes encode the APPs fibrinogen-γ (Fgg), serum amyloid P (Apcs), haptoglobin (Hp), hemopexin (Hpx; Alonzi et al., 2001), hepcidin (Hamp; Wrighting and Andrews, 2006; Pietrangelo et al., 2007), as well as Socs3, the negative feedback regulator of IL-6 signaling (Starr et al., 1997; Croker et al., 2003).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Alonzi et al., 2001 source
- cites Wrighting and Andrews, 2006; Pietrangelo et al., 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Starr et al., 1997; Croker et al., 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Repetitive treatment with Ruxolitinib is required to effectively target excessive inflammatory responses without exceeding doses recommended by clinical guidelines.
“Thus, combining quantitative data generation with mathematical modeling suggests that repetitive treatment with Ruxolitinib is required to effectively target excessive inflammatory responses without exceeding doses recommended by the clinical guidelines.”
Quote in the paperSubstantial claim - Study design and conductown data
The model was calibrated with experimental data on the impact of Ruxolitinib and Stattic on dose/time-dependent Socs3 mRNA induction and STAT3 phosphorylation dynamics.
“We also calibrated our model with experimental data describing the impact of the two pathway inhibitors Ruxolitinib and Stattic on dose/time-dependent Socs3 mRNA induction and STAT3 phosphorylation dynamics in primary mouse hepatocytes (Figure 5D).”
Quote in the paperSubstantial claim - Study design and conductown data
The dose-dependent behavior of all target genes was accurately described by the model.
“The dose-dependent behavior of all target genes was accurately described by the model (Figures 5A–C and Appendix Figure S4).”
Quote in the paperSubstantial claim - Premisecitation
The alpha receptor subunit IL-6R is not directly involved in the dynamic phosphorylation events that initiate IL-6 signaling.
“The alpha receptor subunit IL-6R was not considered in the model, because it is not directly involved in the dynamic phosphorylation events that initiate IL-6 signaling (Taga et al., 1989).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Taga et al., 1989 source
- Study design and conductown data
Following calibration, the mathematical model was able to describe IL-6-induced signaling responses at multiple levels, including the impact of pathway inhibitors on STAT3 and Socs3 activation.
“Following calibration with quantitative experimental data, our mathematical model was able to describe IL-6-induced signaling responses at multiple levels, including the impact of pathway inhibitors on STAT3 (Appendix Figure S9A) and Socs3 activation (Figure 5).”
Quote in the paperSubstantial claim - Study design and conductown data
Experimental data of Socs3 expression in response to hIL-6 alone or hIL-6 and Ruxolitinib was described by model trajectories.
“The experimental data of Socs3 expression in response to hIL-6 alone or hIL-6 and Ruxolitinib was described by the model trajectories (Figure 5D).”
Quote in the paperSubstantial claim - Interpretationreasoning
Compared with Socs3, Cxcl10 showed lower sensitivity toward hIL-6.
“Compared with Socs3, it thus showed lower sensitivity toward hIL-6 (Figure 5A).”
Quote in the paperNot a substantial claim - Premisecitation
STAT3 is activated by JAK1 only after docking to phosphorylated gp130.
“STAT3 is activated by JAK1 only after docking to phosphorylated gp130 (Lutticken et al., 1994; Stahl et al., 1995; Yamanaka et al., 1996).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lutticken et al., 1994; Stahl et al., 1995; Yamanaka et al., 1996
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductown data
Subsequent experimental analysis validated the model-predicted effects of Ruxolitinib treatment on all analyzed APP genes.
“Importantly, subsequent experimental analysis validated the model-predicted effects of Ruxolitinib treatment on all analyzed APP genes (Figure 6 and Appendix Figure S5).”
Quote in the paperSubstantial claim - Study design and conductown data
The mathematical model was calibrated with dose-dependent expression data for IL-6 target genes.
“In addition to time-resolved data, we calibrated the mathematical model with dose-dependent expression data for the IL-6 target genes shown in Figure 5 and Appendix Figures S4, S5.”
Quote in the paperSubstantial claim - Study design and conductown data
The calibrated model trajectories accurately represented experimental data describing multiple levels of IL-6-induced signaling.
“The trajectories of the calibrated model accurately represented the experimental data describing multiple levels of IL-6-induced signaling (solid lines in Figures 3B–E and Appendix Figure S9).”
Quote in the paperSubstantial claim - Premisecitation
Ruxolitinib has a plasma half-life of ~3 h in humans.
“Because Ruxolitinib was reported to have a plasma half-life of ~3 h in humans (Shi et al., 2011), Ruxolitinib degradation was included in the model.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Shi et al., 2011 source
- Study design and conductown data
The mathematical model was calibrated with quantitative experimental data describing the time-resolved dynamics of IL-6-induced JAK1-STAT3 signaling in primary mouse hepatocytes.
“The mathematical model depicted in Figure 3A was calibrated with quantitative experimental data describing the time-resolved dynamics of IL-6-induced JAK1-STAT3 signaling in primary mouse hepatocytes.”
Quote in the paperSubstantial claim - Premisecitation
STAT3 continuously shuttles between cytoplasm and nucleus independent of its activation state.
“STAT3 was shown to continuously shuttle between cytoplasm and nucleus independent of its activation state (Liu et al., 2005; Reich and Liu, 2006).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning
IL-6 is the mediator of immediate early responses in hepatocytes involving STAT3 phosphorylation during liver regeneration.
“we propose that IL-6 is the mediator of immediate early responses in hepatocytes involving STAT3 phosphorylation during liver regeneration”
Quote in the paperSubstantial claim - Interpretationown data
The developed mathematical model of IL-6-induced JAK1-STAT3 signaling in primary mouse hepatocytes adequately predicted how inflammatory gene expression could be reduced to regenerative levels by optimized Ruxolitinib treatment.
“Here we developed a mathematical model of IL-6-induced JAK1-STAT3 signaling in primary mouse hepatocytes, which adequately predicted how inflammatory gene expression could be reduced to regenerative levels by optimized Ruxolitinib treatment.”
Quote in the paperSubstantial claim - Interpretationreasoning
An optimized Ruxolitinib treatment would include three subsequent treatments at t = 0, 8, and 16 h.
“Thus, an optimized Ruxolitinib treatment would include three subsequent treatments at t = 0, 8, and 16 h.”
Quote in the paperSubstantial claim - Study design and conductown data
Using nuclear translocation of STAT3 and IL-6 target gene expression, the predicted advantage of Ruxolitinib triple treatment over single pre-treatment was validated.
“Using two experimental readouts, namely nuclear translocation of STAT3 as an indicator of activated STAT3, and IL-6 target gene expression, we validated the predicted advantage of Ruxolitinib triple treatment over the previously applied single pre-treatment (Figures 7, 8).”
Quote in the paperSubstantial claim - Interpretationown data
Primary human hepatocytes show increased sensitivity toward Ruxolitinib treatment compared to primary mouse hepatocytes.
“Hence, primary human hepatocytes show an increased sensitivity toward the treatment with Ruxolitinib in comparison to primary mouse hepatocytes.”
Quote in the paperSubstantial claim - Interpretationown data
The mathematical model and experimental validation suggested that triple treatment with Ruxolitinib, not a single dose, is required for effective attenuation of IL-6-dependent responses in hepatocytes.
“To conclude, our mathematical model and experimental validation suggested that a triple treatment with Ruxolitinib and not a single dose is required, when an effective attenuation of IL-6-dependent responses in hepatocytes is desired.”
Quote in the paperSubstantial claim - Interpretationnone given
Published IL-6 levels represent both extra- and intracellular IL-6 and are not directly equivalent to IL-6 levels that actively stimulate hepatocytes.
“However, the published IL-6 levels represent both, extra- and intracellular IL-6, and are thus not directly equivalent to IL-6 levels that actively stimulate hepatocytes.”
Quote in the paperSubstantial claim - Premisecitation
Others observed a peak of Il22 mRNA induction in liver at ~3 h post hepatectomy or 4 h after LPS injection, later than the rapid maximal STAT3 phosphorylation observed in this study.
“Others observed a peak of Il22 mRNA induction in the liver at ~3 h post hepatectomy (Rao et al., 2014) or 4 h after LPS injection (Wegenka et al., 2007) and thus much later than the rapid maximal phosphorylation of STAT3 we observed in our study in the liver of hepatectomized or LPS treated mice.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationcitation
A major contribution of IL-10 to early activation of STAT3 and induction of the acute phase response in hepatocytes is unlikely.
“a major contribution of IL-10 to the early activation of STAT3 and the induction of the acute phase response in hepatocytes appears unlikely”
Quote in the paperSubstantial claim - Interpretationreasoning
Other cytokines such as IL-22 or IL-10 may contribute to STAT3 phosphorylation at later time points or in other cell types than hepatocytes.
“other cytokines such as IL-22 or IL-10 may contribute to STAT3 phosphorylation at later time points or in other cell types than hepatocytes”
Quote in the paperNot a substantial claim - Interpretationown data
Distinct IL-6 concentration ranges during liver regeneration and inflammation were established.
“Thus, we established distinct IL-6 concentration ranges during liver regeneration and inflammation.”
Quote in the paperSubstantial claim - Interpretationown data
IL-6-stimulated hepatocytes might be a crucial source for CXCL10.
“Here, we provide evidence that IL-6 stimulated hepatocytes might be a crucial source for CXCL10.”
Quote in the paperSubstantial claim - Interpretationnone given
Signal processing in hepatocytes translates extracellular IL-6 levels to JAK1-STAT3 signaling dynamics and to changes in gene expression.
“Signal processing in hepatocytes translates extracellular IL-6 levels to JAK1-STAT3 signaling dynamics and to changes in gene expression.”
Quote in the paperSubstantial claim - Interpretationown data
Hepatocytes might produce IL-33.
“Our results indicate that also hepatocytes might produce IL-33.”
Quote in the paperSubstantial claim - Study design and conductown data
The amount of experimental data used for calibration and validation of the model presented here is more extensive than in earlier approaches.
“Compared to the earlier approaches (Singh et al., 2006; Moya et al., 2011; Xu et al., 2015) that partly relied on literature derived parameter values obtained from different cell types and stimulating agents, the amount of experimental data used for calibration and validation of the model presented here is more extensive.”
Quote in the paperSubstantial claim - Premisecitation
An increase in Ruxolitinib dose is not desirable due to harmful side-effects such as neutropenia.
“an increase in dose is not desirable due to harmful side-effects such as neutropenia (Shi et al., 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Shi et al., 2011 source
- Premisecitation
Multiple-dose Ruxolitinib treatment with equal doses has a more sustained effect on STAT3 signaling compared with single treatment.
“Multiple-dose Ruxolitinib treatment with equal doses was shown earlier to have a more sustained effect on STAT3 signaling, compared with single treatment (Shi et al., 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Shi et al., 2011 source
- May combine two claims. 69
- Classified as probably not a substantial claim. 39
- The quote only partly states this claim. 2
May combine two claims.
PremisecitationAbrogation of gp130-dependent signaling in hepatocytes prolongs survival and reduces liver damage in an in vivo sepsis model.
“Accordingly, abrogation of glycoprotein 130 (gp130)-dependent signaling in hepatocytes was shown to prolong survival and to reduce liver damage in an in vivo sepsis model (Klein et al., 2007).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Klein et al., 2007 source
May combine two claims.
Findingown dataLate APP genes clustered and were mostly induced upon hIL-6 treatment.
“Hierarchical clustering of significantly regulated genes and further APP genes of interest (Heinrich et al., 1990) revealed that especially late APP genes clustered and were mostly induced upon hIL-6 treatment (Figure 2C).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Heinrich et al., 1990 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSerum amyloid P was suggested to contribute to the persistence of amyloid deposits.
“serum amyloid P, the major APP in mice, was suggested to contribute to the persistence of amyloid deposits (Tennent et al., 1995).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Tennent et al., 1995 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRuxolitinib has been internationally approved for therapy of myelofibrosis and polycythemia vera, which are frequently caused by the V617F gain-of-function mutation within JAK2.
“The JAK1/2 inhibitor Ruxolitinib/INCB018424 (Jakavi/Jakafi, Incyte Pharmaceuticals, Novartis; Lin et al., 2009; Quintas-Cardama et al., 2010) has been internationally approved for the therapy of myelofibrosis (Mesa et al., 2012; Verstovsek et al., 2012) and polycythemia vera (Vannucchi et al., 2015), which are frequently caused by the V617F gain-of-function mutation within JAK2 (Kralovics et al.,”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites Mesa et al., 2012; Verstovsek et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Vannucchi et al., 2015 source
The Abstract Background and Discussion report that ruxolitinib was studied and found effective for polycythemia vera, the condition for which this citation is offered. Our copy does not establish the claimed international approval; it describes the study as taking place when there were no approved alternatives for these patients. The myelofibrosis and JAK2-mutation portions are attached to other citations. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites Kralovics et al., 2005 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStattic treatment inhibited IL-6-induced STAT3 phosphorylation and nuclear translocation in hepatocytes.
“Stattic treatment inhibited IL-6-induced STAT3 phosphorylation and nuclear translocation in hepatocytes (Schust et al., 2006).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Schust et al., 2006 source
The Results and Discussion report that Stattic reduced IL-6-induced STAT3 Tyr705 phosphorylation and inhibited cytokine-induced STAT3 nuclear translocation. However, these experiments used HepG2 liver carcinoma cells, not hepatocytes as the citing sentence states. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIncreased apoptosis was observed in STAT3-dependent cancer cell lines upon Stattic treatment.
“Moreover, increased apoptosis was observed in STAT3-dependent cancer cell lines upon Stattic treatment (Schust et al., 2006).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Schust et al., 2006 source
May combine two claims.
PremisecitationStattic blocks activation and dimerization of STAT3.
“Stattic blocks activation and dimerization of STAT3 (Schust et al., 2006) and therefore in our model inhibits the respective conversion of STAT3 to pSTAT3.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Schust et al., 2006 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationTarget mRNA expression data were normalized to the geometric mean of Hprt and Tbp expression.
“Data were normalized to the geometric mean (Vandesompele et al., 2002) of Hprt and Tbp expression.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Vandesompele et al., 2002 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDeactivation of nuclear STAT3 is mediated by phosphatases.
“Deactivation of nuclear STAT3 was suggested to be mediated by phosphatases (Yamamoto et al., 2002).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Yamamoto et al., 2002 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the context of hepatitis C virus infection, CXCL10 contributes to persistent liver inflammation and fibrosis.
“In the context of hepatitis C virus infection, CXCL10 was suggested to contribute to persistent liver inflammation and fibrosis”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Zeremski et al., 2008, 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Brownell and Polyak, 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIL-33 is induced in fibrotic livers, and hepatic stellate cells are suggested as major IL-33 producers in this context.
“This IL-1-like cytokine (Schmitz et al., 2005) was described to be induced in fibrotic livers, and hepatic stellate cells were suggested as major IL-33 producer in this context (Marvie et al., 2010).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Marvie et al., 2010 source
Probably not a substantial claim: may not pass S2 (checkable).
PremisecitationTo obtain a predictive mathematical model, the relation of considered species and experimentally measured components as well as the amount of experimental data needs to be appropriate.
“To obtain a predictive mathematical model, the relation of considered species and experimentally measured components as well as the amount of experimental data needs to be appropriate”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
PremisecitationRen et al. reported no statistically significant increase of Il22 mRNA in response to hepatectomy, but an increase of IL-22 protein in serum at late time points starting at 6 h with peak at 12 h.
“These results are in line with the studies of Ren et al. reporting that there is no statistically significant increase of Il22 mRNA in response to hepatectomy, but rather an increase of IL-22 protein is observed in the serum at late time points post hepatectomy starting at 6 h post treatment with a peak at 12 h (Ren et al., 2010).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Ren et al., 2010 source
The Results report that hepatic IL-22 mRNA rose after partial hepatectomy without reaching statistical significance. They also report increased serum IL-22 from 6 through 48 hours, with statistical significance at 12 hours, but do not state that the serum level peaked at 12 hours. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationThe measured STAT3 protein concentration in primary mouse hepatocytes is in good agreement with published data from primary human hepatocytes.
“The obtained value for STAT3 is in good agreement with recently published data from a mass spectrometry approach to determine molecules per cell in primary human hepatocytes (Wisniewski et al., 2016).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Wisniewski et al., 2016 source
Section 3.3 describes mass-spectrometry-based estimates of protein copies per cell in human hepatocytes, supporting the description of the cited dataset. The passages found do not give a STAT3 value or establish that it agrees with the citing paper’s mouse-hepatocyte measurement (searched: STAT3 and its full protein name). (LLM, conf=0.78)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA twice-daily dosing regimen has been successfully applied in treatment of myelofibrosis patients.
“A twice-daily dosing regimen was furthermore successfully applied in the treatment of myelofibrosis patients (Verstovsek et al., 2012).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Verstovsek et al., 2012 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationPrimary mouse hepatocyte isolation was performed in a standardized way according to Klingmuller et al. (2006) or according to the refined protocol described by Huard et al. (2012).
“Primary mouse hepatocyte isolation was performed in a standardized way according to Klingmuller et al. (2006) or according to the refined protocol described by Huard et al. (2012).”
Quote in the paperNot a substantial claim1 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious treatment planning was based on preclinical data and empirical results from clinical trials.
“Notably, previous treatment planning was based on preclinical data and empirical results from clinical trials (Quintas-Cardama et al., 2010; Shi et al., 2011).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Quintas-Cardama et al., 2010 source
The Results describe using preclinical whole-blood assay findings to guide dose selection in mouse studies, and the Abstract says preliminary clinical results supported the preclinical findings. Neither passage establishes that previous treatment planning was based on both preclinical data and empirical clinical-trial results. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites Shi et al., 2011 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataMicroarray analysis used a linear regression model with Limma and a significance threshold of Benjamini-Hochberg adjusted p < 0.01.
“To analyze significant gene regulation, we applied a linear regression model with the Limma package (Ritchie et al., 2015). Gene expression values yi were modeled to be explained by time frames t (early, intermediate and late) and condition c (IL-6 and control). The significance threshold of Benjamini–Hochberg adjusted p < 0.01 was implemented.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Ritchie et al., 2015 source
May combine two claims.
Findingown dataAfter peaking, the phospho-STAT3 signal decreased in PHx and LPS treated livers and returned to levels close to baseline at 24 h.
“After peaking, the phospho-STAT3 signal decreased likewise in PHx and LPS treated livers, and returned to levels close to baseline at 24 h.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBased on extensive experimental data, the mathematical model describes pathway activation and key target gene induction during regenerative and inflammatory conditions, as well as the impact of Ruxolitinib and Stattic.
“Based on extensive experimental data, the mathematical model describes pathway activation and key target gene induction during regenerative and inflammatory conditions, as well as the impact of the pathway inhibitors Ruxolitinib and Stattic.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Constant IL-6 concentrations and complete removal of ligand after stimulation pulses can be assumed in the model.
- The authors state this as an assumption: Dephosphorylation of gp130 and JAK1 is coupled.
- The authors state this as an assumption: The law of mass-action kinetics applies to the modeled reactions.
- The authors state this as an assumption: Stattic inhibition is irreversible and its concentrations can be modeled as constant.
- The authors state this as an assumption: A separate STAT3 dimerization step can be neglected because the oligomerization state of STAT3 was not assessed by experiments.
May combine two claims.
Findingown dataIn PCA, samples were separated by time and condition, and biological duplicates clustered, indicating high reproducibility.
“In the two most relevant PCs the samples were separated by time and by condition (control vs. hIL-6) and biological duplicates were clustered (Figure 2A) indicating high reproducibility.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe STAT3 signal detected after NaCl injection was out of range of the reference curve and corresponded to <0.1 ng/mL hIL-6.
“The STAT3 signal detected after NaCl injection was out of range of our reference curve and corresponded to <0.1 ng/mL hIL-6 (Figure 1C).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPeak phospho-STAT3 levels were reached at 2 h following PHx and after 1 h following LPS injection.
“Peak levels were reached at 2 h following PHx and even earlier, after 1 h following LPS injection.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataCRP displayed a similar expression pattern as Apcs.
“Interestingly, the gene encoding the C reactive protein (CRP), displayed a similar expression pattern as Apcs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data723, 779, and 694 genes were IL-6-regulated at early, intermediate, and late time points, respectively.
“In total 1,728 genes were significantly regulated upon hIL-6 stimulation (Appendix Figure S1A), while 723, 779, and 694 genes were IL-6-regulated at early, intermediate, and late time points, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSham surgery and NaCl injection caused serum IL-6 levels to increase only slightly; less than 0.4 ng/mL after sham surgery and <0.1 ng/mL after NaCl injection were measured.
“Less than 0.4 ng/mL IL-6 after sham surgery and <0.1 ng/mL IL-6 after NaCl injection were measured.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFollowing the peak, IL-6 levels dropped quickly and returned to baseline levels at 8-24 h.
“Following the peak, IL-6 levels dropped quickly and returned to baseline levels at 8–24 h.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSTAT3 activation was detectable from 2.5 ng/mL hIL-6, then steeply increased and quickly reached saturation at 25-50 ng/mL.
“It was detectable from 2.5 ng/mL hIL-6 on, then steeply increased and quickly reached saturation at 25–50 ng/mL (Figure 1C).”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe corresponding mouse IL-6 concentrations were 1.8 and 50 ng/mL for PHx and LPS, respectively.
“This corresponds to a mouse IL-6 concentration of 1.8 and 50 ng/mL, respectively (Figure 1D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCxcl10 responded at 25-50 ng/mL hIL-6 and did not reach saturation within the observed hIL-6 range.
“The other early-induced gene Cxcl10 responded at 25–50 ng/mL hIL-6, and did not reach saturation within the observed hIL-6 range.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataExport of phosphorylated STAT3 could be made arbitrarily small in identifiability analysis and was omitted from the final model.
“However, based on identifiability analysis (see Appendix Figure S15), we found that export of phosphorylated STAT3 could be made arbitrarily small and was therefore omitted from the final model.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSocs3 expression at 1, 6, and 24 h was detectable from 1 ng/mL hIL-6, steadily increased, and reached saturation at 50 ng/mL hIL-6.
“Socs3 expression at 1, 6, and 24 h was detectable from 1 ng/mL hIL-6, steadily increased, and reached saturation at 50 ng/mL hIL-6.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataInhibitor pre-treatment for 1 h caused reduced basal Socs3 mRNA and reduced sensitivity and peak magnitude of the dose-dependent Socs3 response upon IL-6 stimulation.
“Inhibitor pre-treatment for 1 h caused a reduced basal level of Socs3 mRNA and a reduced sensitivity and peak magnitude of the dose-dependent Socs3 response upon IL-6 stimulation (Figure 5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe crossing of heterozygous mKate2-STAT3 animals resulted in 66.8% WT and 33.2% heterozygous animals (n = 232), and heterozygous mice showed no phenotype concerning viability compared to WT.
“The crossing of the heterozygous animals resulted in 66.8% WT and 33.2% heterozygous animals (n = 232) and these heterozygous mice showed no phenotype, also concerning viability in comparison to WT animals.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown datamKate2-STAT3 is expressed at a slightly lower level than endogenous STAT3, but its phosphorylation dynamics correlate with endogenous STAT3 phosphorylation dynamics.
“These studies showed that mKate2-STAT3 is expressed at a slightly lower level than the endogenous protein but the phosphorylation dynamics correlated with the phosphorylation dynamics of the endogenous STAT3.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataAll target genes showed sigmoidal dose response curves and saturation at high IL-6 concentrations (100-500 ng/mL).
“All showed sigmoidal dose response curves and saturation at high IL-6 concentrations (100–500 ng/mL).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor the APP genes, Cxcl10 had the shortest delay, followed by Fgg; the other APP genes exhibited slower dynamics.
“For the APP genes, Cxcl10 had the shortest delay, followed by Fgg. The other APP genes exhibited slower dynamics (see Appendix Figure S24).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMicroarray analysis identified Socs3 to critically contribute to overall regulation and to be significantly IL-6-induced at all time points.
“This is consistent with our microarray analysis, which identified Socs3 to critically contribute to overall regulation (Figure 2B) and to be significantly IL-6-induced at all time points (Figure 2C).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFgg, Hamp, Il33, Apcs, Hp, and Hpx mRNAs were induced from 1 to 10 ng/mL hIL-6, with sensitivities similar to Socs3.
“In contrast, the sensitivities of intermediate and late APP genes were similar to that of Socs3—Fgg, Hamp, Il33, Apcs, Hp, and Hpx mRNAs were induced from 1 to 10 ng/mL hIL-6.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAfter peak, Socs3 mRNA levels declined but stayed elevated throughout the observed time frame.
“Afterwards, Socs3 mRNA levels declined, but stayed elevated throughout the observed time frame.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSocs3, Cxcl10, Fgg, Il33, Hp, and Hpx required an explicit delay in the model to describe the available data, while Apcs and Hamp did not.
“Based on repeated profile likelihood analysis, we concluded that Socs3, Cxcl10, Fgg, Il33, Hp, and Hpx required an explicit delay in the model to describe the available data, while Apcs and Hamp did not.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Constant IL-6 concentrations and complete removal of ligand after stimulation pulses can be assumed in the model.
- The authors state this as an assumption: Dephosphorylation of gp130 and JAK1 is coupled.
- The authors state this as an assumption: The law of mass-action kinetics applies to the modeled reactions.
- The authors state this as an assumption: Stattic inhibition is irreversible and its concentrations can be modeled as constant.
- The authors state this as an assumption: A separate STAT3 dimerization step can be neglected because the oligomerization state of STAT3 was not assessed by experiments.
May combine two claims.
Findingown dataIL-6 treatment rescued the decrease and caused elevated Apcs expression at 24 h relative to untreated cells.
“IL-6 treatment rescued this decrease and caused elevated Apcs expression at 24 h relative to untreated cells (Figure 4 and Appendix Figure S10).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFgg, Hamp, and Il33 were induced by IL-6 and clearly detectable from 3 to 6 h on.
“The genes Fgg, Hamp, and Il33 were induced by IL-6 and were clearly detectable from 3 to 6 h on, as shown by qRT-PCR analysis.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSocs3 levels declined but stayed elevated up to 24 h.
“Subsequently, its levels declined but stayed elevated up to 24 h.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe mathematical model quantitatively links IL-6 levels to JAK1-STAT3 signaling dynamics and gene expression, and describes the impact of Ruxolitinib and Stattic on STAT3 and its target gene activation.
“We could quantitatively link these different levels by implementing a mathematical model, which not only described experimentally observed signaling dynamics, but also the impact of the pathway inhibitors Ruxolitinib and Stattic on STAT3 and its target gene activation.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA very rapid induction of Il6 mRNA was detected in response to LPS injection, maximal after 1 h, coinciding with maximal STAT3 phosphorylation at 1 h post treatment.
“On the contrary a very rapid induction of Il6 mRNA was detected particularly in response to LPS injection that was already maximal after 1 h of LPS injection (Appendix Figure S14) and coincided with maximal STAT3 phosphorylation observed at 1 h post treatment (Figure 1B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe effect was most obvious for Socs3, and recognizable for all other genes, although error bars were partly overlapping for single and triple treatment.
“The effect was most obvious for Socs3, and also recognizable for all other genes, although error bars were partly overlapping for single and triple treatment.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataComparing model predictions and experimental data for different Ruxolitinib regimens and IL-6 concentrations revealed good agreement; Ruxolitinib-mediated suppression of mKate2-STAT3 nuclear translocation was improved with triple treatment compared with single.
“Comparing model predictions and experimental data for the different Ruxolitinib treatment regimens and IL-6 concentrations revealed good agreement between model and experiment (Figure 7D and Appendix Figure S6): Ruxolitinib-mediated suppression of mKate2-STAT3 nuclear translocation was improved when the triple treatment regime was applied, compared with single treatment.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCompared to single treatment, triple treatment induced a more sustained inhibitory effect, utilizing considerably lower doses for repetitive treatment after the initial bolus.
“Compared to the single treatment (q24h), the triple treatment (q8h) induced a more sustained inhibitory effect, utilizing considerably lower doses for the repetitive treatment after the initial bolus.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataInhibiting production and activation of the receptor, inhibiting activation of STAT3, and reducing degradation of Socs3 mRNA are predicted to lead to additional attenuation of the APP response.
“Here we can observe that inhibiting production and activation of the receptor, inhibiting the activation of STAT3 and reducing the degradation of Socs3 (mRNA) are all predicted to lead to additional attenuation of the APP response.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn primary mouse hepatocytes, Cxcl10 mRNA is selectively induced by inflammatory IL-6 concentrations, while all other analyzed target genes respond to both regenerative and inflammatory IL-6 stimuli.
“Cxcl10 mRNA was selectively induced by inflammatory IL-6 concentrations, while all other analyzed target genes responded to both, regenerative and inflammatory IL-6 stimuli (Figure 5).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataPrincipal component analysis showed first two principal components explained 68.1% of variance (PC1: 58.4%, PC2: 9.7%).
“The first two principal components explained most of the variance in the data set (PC1: 58.4%, PC2: 9.7%, 68.1% in total).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationA certain amount of IL-6 is required for efficient immune defense and liver regeneration.
“On the other hand, a certain amount of IL-6 is required for efficient immune defense (Kopf et al., 1994) and liver regeneration (Cressman et al., 1996; Sakamoto et al., 1999; Zimmers et al., 2003).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Kopf et al., 1994 source
- cites Cressman et al., 1996; Sakamoto et al., 1999; Zimmers et al., 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIncreased IL-6 activity is associated with chronic inflammatory diseases including rheumatoid arthritis, multiple sclerosis, and Crohn's disease.
“Increased activity of interleukin (IL)-6 has been associated with chronic inflammatory diseases including rheumatoid arthritis (Hirano et al., 1988), multiple sclerosis (Frei et al., 1991; Navikas et al., 1996), and Crohn's disease (Ito, 2003).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationIn hepatocytes, IL-6 regulates acute phase protein production by activating the IL-6 receptor complex with gp130, and signals are transduced via JAK1 and STAT3.
“Central target cells of IL-6 are hepatocytes, where IL-6 regulates the production of acute phase proteins (APPs) by first activating the IL-6 receptor complex with the signal-transducing subunit gp130. Signals are further transduced via janus kinase 1 (JAK1) and signal transducer and activator of transcription 3 (STAT3; Bode and Heinrich, 2001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bode and Heinrich, 2001
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPersistent inflammation can initiate or promote malignant progression, and a pro-tumorigenic role of IL-6 has been suggested.
“Persistent inflammation can initiate or promote (Grivennikov and Karin, 2011) malignant progression and a pro-tumorigenic role of IL-6, which is elevated in many types of cancer, has been suggested (Heikkila et al., 2008).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationOther cytokines OSM, IL-11, IL-10, and IL-22 also induce STAT3 phosphorylation and could contribute to regenerative and inflammatory signaling in the liver.
“However, other cytokines such as Oncostatin-M (OSM), IL-11, IL-10, and IL-22, also induce STAT3 phosphorylation (see Nakamura et al., 2004; Sabat et al., 2010; Nishina et al., 2012; Rao et al., 2014) and therefore could contribute to the complex regenerative and inflammatory signaling in the liver.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nakamura et al., 2004; Sabat et al., 2010; Nishina et al., 2012; Rao et al., 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIL-22 is a mediator of cross-talk between immune cells and hepatocytes and contributes to efficient liver regeneration but potentially distinct from IL-6 primarily contributes to long-term recovery.
“Together these studies suggest that IL-22 is a mediator of the cross-talk between immune cells and hepatocytes and contributes to efficient liver regeneration but potentially distinct from IL-6 primarily contributes to long-term recovery.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationHigh IL-6 levels are frequently found and correlate with poor outcome in patients with sepsis.
“High IL-6 levels are also frequently found and correlate with poor outcome in patients with sepsis, an acute systemic inflammatory response (Waage et al., 1989; Calandra et al., 1991; Damas et al., 1992; Norrby-Teglund et al., 1995).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Waage et al., 1989; Calandra et al., 1991; Damas et al., 1992; Norrby-Teglund et al., 1995
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationXu et al. predicted that IL-6 signaling could be best targeted at the receptor level, and that reduced inhibitor dose may be achievable by applying possible inhibitor combinations.
“These studies predicted that IL-6 signaling could be best targeted at the receptor level, and that reduced inhibitor dose may be achievable by applying possible inhibitor combinations (Xu et al., 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Xu et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationGuidelines recommend a repetitive, constant dose of Ruxolitinib 10 mg twice daily for polycythemia vera or 20 mg twice daily for myelofibrosis.
“According to the guidelines, the recommendation for Jakavi is a repetitive, constant dose of 10 mg twice daily (q12h) for polycythemia vera or 20 mg twice daily (q12h) for myelofibrosis (Rote, 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rote, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAPPs fulfill beneficial roles in host defense and tissue repair.
“Although, APPs fulfill beneficial roles in host defense and tissue repair (Bode et al., 2012), several adverse effects have been reported for different APPs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bode et al., 2012 source
May combine two claims.
Study design and conductnone givenModel parameters were estimated by a maximum likelihood approach, and identifiability of the dynamic model parameters was ensured by Profile Likelihood.
“The mathematical model consists of coupled ordinary differential equations (ODE) and the model parameters were estimated by a maximum likelihood approach, whereas identifiability of the dynamic model parameters was ensured by the Profile Likelihood.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationODE-based mathematical models are well-suited to study the dynamics of signal transduction and have enabled identification of therapeutic targets within signaling networks.
“Mathematical models based on ordinary differential equations (ODEs) are well-suited to study the dynamics of signal transduction and have enabled the identification of therapeutic targets within signaling networks (Schoeberl et al., 2009; Raia et al., 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Schoeberl et al., 2009; Raia et al., 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationSeveral ODE-based mathematical models of IL-6 signaling have been reported, but only Xu et al. tested potential effects of targeting selected pathway components on APP expression in silico.
“Although several ODE-based mathematical models of IL-6 signaling have been reported to date (Singh et al., 2006; Moya et al., 2011; Dittrich et al., 2012), only with a recently described mathematical model (Xu et al., 2015) potential effects of targeting selected pathway components on APP expression were tested in silico.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Singh et al., 2006; Moya et al., 2011; Dittrich et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Xu et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHepcidin contributes to the development of anemia under inflammatory conditions.
“Hepcidin, for instance, a crucial regulator of iron homeostasis (Sakamori et al., 2010; Ganz and Nemeth, 2012), contributes to the development of anemia under inflammatory conditions (Weinstein et al., 2002; Kemna et al., 2005).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Weinstein et al., 2002; Kemna et al., 2005
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationElevated expression of fibrinogen is related to formation and progression of atherosclerotic plaques.
“Elevated expression of fibrinogen was related to formation and progression of atherosclerotic plaques (Levenson et al., 1995)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Levenson et al., 1995 source
May combine two claims.
InterpretationcitationThe model-based predictions reported by Xu et al. were not experimentally validated, limiting applicability to targeting IL-6 signaling in human disease.
“However, the model-based predictions reported by Xu et al. were not experimentally validated, thus limiting applicability to targeting IL-6 signaling in human disease.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Xu et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRuxolitinib is also tested for treatment of other malignancies and chronic inflammatory diseases such as rheumatoid arthritis.
“Ruxolitinib is also tested for the treatment of other malignancies as well as chronic inflammatory diseases such as rheumatoid arthritis (Williams et al., 2008; Quintas-Cardama et al., 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Williams et al., 2008; Quintas-Cardama et al., 2011
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Premisenone givenStattic targets the STAT3 SH2 domain, blocking receptor association and dimerization.
“The STAT3 inhibitor Stattic, which is not approved for clinical applications, targets the STAT3 SH2 domain, thus blocking receptor association and dimerization.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductcitationLevels of phosphorylated and total protein species were measured by quantitative immunoblotting with randomized sample loading and normalization to housekeeping proteins or recombinant calibrator proteins.
“The levels of phosphorylated and total protein species were measured by quantitative immunoblotting (Schilling et al., 2005a), including randomized sample loading and normalization to suitable housekeeping proteins or, in case proteins were enriched by immunoprecipitation, to recombinant calibrator proteins.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Schilling et al., 2005a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataBecause nuclear STAT3 dephosphorylation is so rapid that nuclear phosphorylated STAT3 exactly follows cytoplasmic phospho-STAT3 concentration, the model was reduced by one equation.
“Since nuclear STAT3 dephosphorylation is so rapid that the level of nuclear phosphorylated STAT3 exactly follows the cytoplasmic concentration of phospho-STAT3, the model was reduced by one equation.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSOCS3 inhibits the signaling pathway by increasing degradation of the receptor complex and inhibiting phosphorylation of STAT3 by the fully activated receptor complex.
“SOCS3 inhibits the signaling pathway by increasing degradation of the receptor complex as well as inhibiting phosphorylation of STAT3 by the fully activated receptor complex (Starr et al., 1997; Babon et al., 2012; Kershaw et al., 2013).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Starr et al., 1997; Babon et al., 2012; Kershaw et al., 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHp and Hpx have previously been reported to be IL-6 responsive and STAT3-dependent.
“The APP genes Hp and Hpx were not significantly regulated in our microarray analysis (Figure 2C), but have previously been reported to be IL-6 responsive and STAT3-dependent (Alonzi et al., 2001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Alonzi et al., 2001 source
May combine two claims. The quote only partly states this claim.
Study design and conductreasoningThe model was calibrated in two stages: an upstream core model (receptor, STAT3 pools, SOCS3) calibrated on wild type and inhibitor data, and a downstream APP model parameterized separately with upstream parameters fixed.
“To summarize, the model was calibrated in two stages. First the upstream model of IL-6 signaling was developed and calibrated. The upstream model also termed “core model” consists of the receptor level, the STAT3 pools and SOCS3 and is calibrated on both wild type as well as inhibitor data.”
Quote in the paperSubstantial claim- The authors state this as an assumption: None of the APP genes feed back into the system.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationIL-6 has repeatedly been suggested to contribute to inflammatory or malignant diseases, and targeting this mediator needs careful evaluation to maintain beneficial regenerative functions.
“While IL-6 has repeatedly been suggested to contribute to inflammatory or malignant diseases, targeting this central mediator needs to be carefully evaluated to maintain its beneficial regenerative functions (Hunter and Jones, 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hunter and Jones, 2015 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCXCL10 is secreted by macrophages in an IL-6/STAT3-dependent manner.
“CXCL10 was described previously to be secreted by macrophages in an IL-6/STAT3-dependent manner”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Xu et al., 2012, 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationThe JAK-STAT pathway is relevant for IL-6-induced APP expression, whereas MAPK activation is dispensable.
“we focused our model scope on the JAK-STAT pathway, which according to Dierssen et al. is relevant for IL-6-induced APP expression whereas MAPK activation is dispensable”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dierssen et al., 2008 source
May combine two claims.
PremisecitationThe maximal tolerable dose of Ruxolitinib in healthy volunteers is 100 mg once daily, already inducing severe side effects such as neutropenia.
“The maximal tolerable dose of Ruxolitinib in healthy volunteers was described to be 100 mg once daily, already inducing severe side effects as neutropenia (Shi et al., 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Shi et al., 2011 source
May combine two claims.
Interpretationown dataLPS-induced IL-6 induction is more rapid and more than two orders of magnitude higher than IL-22 induction.
“suggesting that the induction of IL-6 in response to LPS is more rapid and more than two orders of magnitude higher compared to IL-22”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe initial dose of 500 nM Ruxolitinib was selected based on dose response experiments and closely relates to the determined IC50.
“The initial dose of 500 nM Ruxolitinib was selected based on dose response experiments (Appendix Figures S70, S71) in primary mouse hepatocytes and closely relates to the determined IC50.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationBecause IL-6 appears to be the main inducer of STAT3 activation in hepatocytes, inferring IL-6 concentrations from STAT3 phosphorylation in whole liver lysates provides a good estimate of IL-6 concentrations in the hepatocyte microenvironment.
“Because IL-6 appears to be the main inducer of STAT3 activation in hepatocytes (Cressman et al., 1996), the major hepatic cell type, this approach provides a good estimate of IL-6 concentrations in the hepatocytes' microenvironment.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cressman et al., 1996 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe mathematical model is available to the community at the biomodels database and at www.data2dynamics.org.
“The mathematical model is available to the community at the biomodels database as well as on www.data2dynamics.org.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationNegligible accumulation of Ruxolitinib occurs after multiple doses, minimizing risk of potential side effects.
“Shi et al. found negligible accumulation of Ruxolitinib after multiple doses, thus minimizing the risk of potential side effects.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Shi et al., 2011 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationPHx was performed based on the standardized procedure described by Mitchell and Willenbring (2008).
“PHx was performed based on the standardized procedure described by Mitchell and Willenbring (2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mitchell and Willenbring (2008) source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll model parameters were estimated directly from experimental data using Maximum Likelihood Estimation.
“All model parameters were estimated directly from the experimental data using Maximum Likelihood Estimation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataFor core model, 270 parameters (22 dynamic) were estimated on 2220 data points; for downstream, 471 additional parameters (29 dynamic) on 2288 data points.
“For the core model, 270 parameters (of which 22 dynamic parameters) were estimated on a total of 2220 data points. For the downstream components, we estimated 471 additional parameters (of which 29 dynamic parameters) on a total of 2,288 data points.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe study generated an extensive amount of experimental data using different technologies to assess dynamics of signal transduction and target gene expression.
“For the presented study an extensive amount of experimental data was generated using different technologies ranging from quantitative immunoblotting, multiplexed bead-based arrays and quantitative mass spectrometry to qRT- PCR and microarray analysis in order to assess the dynamics of signal transduction and target gene expression.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe mathematical model has high predictive power, confirmed by experimental validation of previously untested scenarios.
“We established a mathematical representation of the signaling network and could confirm its high predictive power by experimentally validating previously untested scenarios.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataQuality of cellular fractionation was checked by correct subcellular localization of marker proteins Sp1 (nuclear) and Eps15 (cytosolic).
“Quality of fractionation was checked by correct subcellular localization of marker proteins Sp1 (nuclear; Santa Cruz Biotechnology, #sc-59) and Eps15 (cytosolic; Santa Cruz Biotechnology, #sc-534).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationRuxolitinib has rapid metabolism and a short half-life.
“thus counteracting its rapid metabolism (Shilling et al., 2010) resulting in its short half-life (Shi et al., 2011).”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationOntology analysis used a model-based ontology analysis with Wiki Pathways and an enrichment threshold of probability of being regulated > 0.5.
“Ontology analysis of the three response lists was performed using a model-based ontology analysis (http://nar.oxfordjournals.org/content/early/2010/02/19/nar.gkq045.full) using Wiki Pathways and implementing an enrichment threshold using pathways with a probability of being regulated > 0.5.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningSelectively reducing Socs3 mRNA degradation rate would benefit from synergistic effects between SOCS3 and Ruxolitinib.
“One option would be to selectively reduce the Socs3 mRNA degradation rate to benefit from synergistic effects between the pathway's natural inhibitor SOCS3 and the drug Ruxolitinib.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe mKate2-STAT3 knock-in reporter's expression mirrors endogenous STAT3 expression in different organs.
“Since the fluorescently labeled STAT3 was created as knock-in into the endogenous STAT3 locus, its expression should mirror the expression of STAT3 in different organs.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
Constant IL-6 concentrations and complete removal of ligand after stimulation pulses can be assumed in the model.
“Based on immunoassays of human IL-6 in mouse hepatocyte supernatants (Appendix Figure S2), constant IL-6 concentrations and complete removal of ligand after stimulation pulses were assumed.”
The authors state this as an assumption.
Dephosphorylation of gp130 and JAK1 is coupled.
“This simplification is based on the assumption that dephosphorylation of gp130 and JAK1 is coupled.”
The authors state this as an assumption.
The law of mass-action kinetics applies to the modeled reactions.
“Assuming the law of mass-action kinetics, we translated the previously established molecular interactions (Heinrich et al., 2003) in response to IL-6 into a set of ODEs.”
The authors state this as an assumption.
Stattic inhibition is irreversible and its concentrations can be modeled as constant.
“Considering that inhibition by Stattic is irreversible, its concentrations were modeled as constant.”
The authors state this as an assumption.
A separate STAT3 dimerization step can be neglected because the oligomerization state of STAT3 was not assessed by experiments.
“A separate dimerization step was neglected, because the oligomerization state of STAT3 was not assessed by experiments.”
The authors state this as an assumption.
None of the APP genes feed back into the system.
“Since none of the APP genes feed back into the system, these were parameterized separately to keep the analyses computationally tractable.”
The authors state this as an assumption.
If APPs are considered very stable, protein levels are approximately proportional to the integral of APP gene expression.
“If one considers the APPs to be very stable, then the protein levels will approximately be proportional to the integral of the expression of the APP genes.”
The paper relies on this without support.
Higher doses of Ruxolitinib could have detrimental side-effects.
“However, since higher doses of the inhibitor could have detrimental side-effects, we employed our mathematical model to design treatment schedules for Ruxolitinib where the concentration of Ruxolitinib in the system does not exceed a maximal dose.”
The authors state this as an assumption.
The integral up to 24 h of APP mRNA levels in response to 100 ng/mL hIL-6 is a proxy for APP expression during inflammation.
“As objective, the integral up to 24 h of the APP mRNA levels in response to 100 ng/mL hIL-6 was used as a proxy for APP expression during inflammation.”
The authors state this as an assumption.
The potency of human IL-6 on human hepatocytes is comparable to that of mouse IL-6 on primary mouse hepatocytes.
“To mimic the regenerative and inflammatory situation in the human system, 1.8 and 50 ng/mL hIL-6 were chosen to stimulate human hepatocytes, assuming that the potency of human IL-6 on human hepatocytes is comparable to that of mouse IL-6 on primary mouse hepatocytes and by utilizing the dose response curves shown in Figure 1D.”
The authors state this as an assumption.
Average blood volume is 5 L per human body.
“This amount corresponds to a concentration of 65 nM assuming an average blood volume of 5 L per human body.”
The paper relies on this without support.
Nuclear translocation of STAT3 is a crucial aspect of signal transduction in response to IL-6 stimulation.
“The nuclear translocation of STAT3 is a crucial aspect of signal transduction in response to IL-6 stimulation.”
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“This IL-1-like cytokine (Schmitz et al., 2005) was described to be induced in fibrotic livers, and hepatic stellate cells were suggested as major IL-33 producer in this context (Marvie et al., 2010).”
BackgroundA Gain-of-Function Mutation of <i>JAK2</i> in Myeloproliferative Disorders
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“For example Swameye et al. established a dynamic pathway model for the JAK2-STAT5 signaling pathway and tested conflicting hypothesis on signal transduction from the cell surface receptor to the nucleus (Swameye et al., 2003).”
BackgroundInfluentialPrinciples of interleukin (IL)-6-type cytokine signalling and its regulation
HEINRICH, P. C., BEHRMANN, I., HAAN, S., HERMANNS, H. M., MÜLLER-NEWEN, G., & SCHAPER, F. (2003) · Biochemical Journal · doi:10.1042/bj20030407 · Cited by 3,272 · cited 1× · see citing works
“Assuming the law of mass-action kinetics, we translated the previously established molecular interactions (Heinrich et al., 2003) in response to IL-6 into a set of ODEs.”
MethodInterleukin-6 and the acute phase response
Heinrich, P. C., Castell, J. V., & Andus, T. (1990) · Biochemical Journal · doi:10.1042/bj2650621 · Cited by 2,734 · cited 2× · see citing works
“Hierarchical clustering of significantly regulated genes and further APP genes of interest (Heinrich et al., 1990) revealed that especially late APP”
BackgroundIL-6 as a keystone cytokine in health and disease
Hunter, C. A., & Jones, S. A. (2015) · Nature Immunology · doi:10.1038/ni.3153 · Cited by 2,511 · cited 1× · see citing works
“While IL-6 has repeatedly been suggested to contribute to inflammatory or malignant diseases, targeting this central mediator needs to be carefully evaluated to maintain its beneficial regenerative functions (Hunter and Jones, 2015).”
BackgroundA double-blind, placebo-controlled trial of ruxolitinib for myelofibrosis
Verstovsek, S., Mesa, R. A., Gotlib, J., Levy, R. S., Gupta, V., DiPersio, J. F., Catalano, J. V., Deininger, M., Miller, C., Silver, R. T., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1110557 · Cited by 2,103 · see citing works
A family of cytokine-inducible inhibitors of signalling
Starr, R., Willson, T. A., Viney, E. M., Murray, L. J. L., Rayner, J. R., Jenkins, B. J., Gonda, T. J., Alexander, W. S., Metcalf, D., Nicola, N. A., et al. (1997) · Nature · doi:10.1038/43206 · Cited by 2,066 · see citing works
Impaired immune and acute-phase responses in interleukin-6-deficient mice
Kopf, M., Baumann, H., Freer, G., Freudenberg, M., Lamers, M., Kishimoto, T., Zinkernagel, R., Bluethmann, H., & Köhler, G. (1994) · Nature · doi:10.1038/368339a0 · Cited by 1,768 · cited 2× · see citing works
“On the other hand, a certain amount of IL-6 is required for efficient immune defense (Kopf et al., 1994) and liver regeneration (Cressman et al., 1996; Sakamoto et al., 1999; Zimmers et al., 2003).”
BackgroundLiver Failure and Defective Hepatocyte Regeneration in Interleukin-6-Deficient Mice
Cressman, D. E., Greenbaum, L. E., DeAngelis, R. A., Ciliberto, G., Furth, E. E., Poli, V., & Taub, R. (1996) · Science · doi:10.1126/science.274.5291.1379 · Cited by 1,536 · cited 2× · see citing works
“STAT3 activation was also detectable in animals treated with sham surgery, which has been reported previously (Cressman et al., 1996; Heim et al., 1997), and which is likely due to stress caused by the surgical procedure.”
BackgroundInterleukin-6 triggers the association of its receptor with a possible signal transducer, gp130
Taga, T., Hibi, M., Hirata, Y., Yamasaki, K., Yasukawa, K., Matsuda, T., Hirano, T., & Kishimoto, T. (1989) · Cell · doi:10.1016/0092-8674(89)90438-8 · Cited by 1,396 · cited 1× · see citing works
“The alpha receptor subunit IL-6R was not considered in the model, because it is not directly involved in the dynamic phosphorylation events that initiate IL-6 signaling (Taga et al., 1989).”
BackgroundSchwenk, F., Baron, U., & Rajewsky, K. (1995) · Nucleic Acids Research · doi:10.1093/nar/23.24.5080 · Cited by 1,289 · see citing works
Ganz, T., & Nemeth, E. (2012) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2012.01.014 · Cited by 1,282 · cited 1× · see citing works
“Hepcidin, for instance, a crucial regulator of iron homeostasis (Sakamori et al., 2010; Ganz and Nemeth, 2012), contributes to the development of anemia under inflammatory conditions (Weinstein et al.”
BackgroundOscillations in NF-κB Signaling Control the Dynamics of Gene Expression
Nelson, D. E., Ihekwaba, A. E. C., Elliott, M., Johnson, J. R., Gibney, C. A., Foreman, B. E., Nelson, G., See, V., Horton, C. A., Spiller, D. G., et al. (2004) · Science · doi:10.1126/science.1099962 · Cited by 1,186 · cited 1× · see citing works
“The mathematical modeling approach revealed that two molecular species were strongly coupled to the oscillation dynamics (Nelson et al., 2004).”
BackgroundWaage, A., Brandtzaeg, P., Halstensen, A. I., Kierulf, P., & Espevik, T. (1989) · The Journal of Experimental Medicine · doi:10.1084/jem.169.1.333 · Cited by 1,175 · cited 2× · see citing works
“High IL-6 levels are also frequently found and correlate with poor outcome in patients with sepsis, an acute systemic inflammatory response (Waage et al., 1989; Calandra et al., 1991; Damas et al., 1992; Norrby-Teglund et al., 1995).”
BackgroundRobustness in bacterial chemotaxis
Alon, U. S., Surette, M. G., Barkai, N., & Leibler, S. (1999) · Nature · doi:10.1038/16483 · Cited by 1,129 · see citing works
Stattic: a small-molecule inhibitor of STAT3 activation and dimerization
Schust, J., Sperl, B., Hollis, A., Mayer, T. U., & Berg, T. (2006) · Chemistry & Biology · doi:10.1016/j.chembiol.2006.09.018 · Cited by 1,105 · cited 3× · see citing works
“Stattic treatment inhibited IL-6-induced STAT3 phosphorylation and nuclear translocation in hepatocytes (Schust et al., 2006).”
BackgroundA Highly Efficient Recombineering-Based Method for Generating Conditional Knockout MutationsPreprint
Liu, P., Jenkins, N. A., & Copeland, N. G. (2003) · Genome Research · doi:10.1101/gr.749203 · Cited by 1,013 · cited 1× · see citing works
“An insert harboring mKate2 and part of STAT3 as well as the Neomycin selection cassette flanked by homologous arms was retrieved into PL253 vector (NCI Frederick; Liu et al., 2003) to obtain the gene targeting construct.”
MethodInterleukin-6 induces hepcidin expression through STAT3
Wrighting, D. M., & Andrews, N. C. (2006) · Blood · doi:10.1182/blood-2006-06-027631 · Cited by 983 · cited 13× · see citing works
“In contrast, the sensitivities of intermediate and late APP genes were similar to that of Socs3—Fgg,Hamp, Il33, Apcs,Hp, andHpxmRNAswere induced from 1 to 10 ng/mL hIL6.”
BackgroundInfluentialStahl, N., Farruggella, T. J., Boulton, T. G., Zhong, Z., Darnell, J. E., & Yancopoulos, G. D. (1995) · Science · doi:10.1126/science.7871433 · Cited by 979 · see citing works
Sabat, R., Grütz, G., Warszawska, K., Kirsch, S., Witte, E., Wolk, K., & Geginat, J. (2010) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2010.09.002 · Cited by 977 · cited 2× · see citing works
“However, other cytokines such as Oncostatin-M (OSM), IL11, IL-10, and IL-22, also induce STAT3 phosphorylation (see Nakamura et al., 2004; Sabat et al., 2010; Nishina et al., 2012; Rao et al., 2014) and therefore could contribute to the complex regenerative and inflammatory signaling in the liver.”
BackgroundRuxolitinib versus standard therapy for the treatment of polycythemia vera
Vannucchi, A. M., Kiladjian, J. J., Griesshammer, M., Masszi, T., Durrant, S., Passamonti, F., Harrison, C. N., Pane, F., Zachee, P., Mesa, R., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1409002 · Cited by 891 · cited 1× · see citing works
“, 2012) and polycythemia vera (Vannucchi et al., 2015), which are frequently caused by the V617F gain-of-function mutation within JAK2 (Kralovics et al.”
BackgroundQuintás-Cardama, A., Vaddi, K., Liu, P., Manshouri, T., Li, J., Scherle, P. A., Caulder, E., Wen, X., Li, Y., Waeltz, P., et al. (2010) · Blood · doi:10.1182/blood-2009-04-214957 · Cited by 843 · cited 3× · see citing works
“The JAK inhibitor Ruxolitinib (Lin et al., 2009; Quintas-Cardama et al., 2010) negatively influences JAK1-dependent reactions in the model, specifically the generation of pJAK1_gp130 and pJAK1_pgp130.”
BackgroundMethodSOCS3 negatively regulates IL-6 signaling in vivo
Croker, B. A., Krebs, D. L., Zhang, J.-G., Wormald, S., Willson, T. A., Stanley, E. G., Robb, L., Greenhalgh, C. J., Förster, I., Clausen, B. E., et al. (2003) · Nature Immunology · doi:10.1038/ni931 · Cited by 840 · cited 1× · see citing works
“, 2007), as well as Socs3, the negative feedback regulator of IL-6 signaling (Starr et al., 1997; Croker et al., 2003).”
BackgroundLütticken, C., Wegenka, U. M., Yuan, J., Buschmann, J., Schindler, C., Ziemiecki, A., Harpur, A. G., Wilks, A. F., Yasukawa, K., Taga, T., et al. (1994) · Science · doi:10.1126/science.8272872 · Cited by 814 · cited 1× · see citing works
“STAT3 is activated by JAK1 only after docking to phosphorylated gp130 (Lutticken et al., 1994; Stahl et al., 1995; Yamanaka et al., 1996).”
BackgroundCytokine Serum Level During Severe Sepsis in Human IL-6 as a Marker of Severity
DAMA, P., Ledoux, D., Nys, M., Vrindts, Y., Groote, D. D., Franchimont, P., & Lamy, M. (1992) · Annals of Surgery · doi:10.1097/00000658-199204000-00009 · Cited by 808 · cited 2× · see citing works
“, 2011) and inflammation (Waage et al., 1989; Damas et al., 1992; Piao et al., 2013), but a direct comparison of regenerative and inflammatory conditions has not been performed yet.”
BackgroundExcessive production of interleukin 6/B cell stimulatory factor-2 in rheumatoid arthritis
Hirano, T., Matsuda, T., Turner, M., Miyasaka, N., Buchan, G., Tang, B., Sato, K., Shimi, M., Maid, R., Feldmann, M., et al. (1988) · European Journal of Immunology · doi:10.1002/eji.1830181122 · Cited by 784 · cited 1× · see citing works
“Increased activity of interleukin (IL)-6 has been associated with chronic inflammatory diseases including rheumatoid arthritis (Hirano et al., 1988), multiple sclerosis (Frei et al.”
BackgroundIL-6 induces an anti-inflammatory response in the absence of SOCS3 in macrophages
Yasukawa, H., Ohishi, M., Mori, H., Murakami, M., Chinen, T., Aki, D., Hanada, T., Takeda, K., Akira, S., Hoshijima, M., et al. (2003) · Nature Immunology · doi:10.1038/ni938 · Cited by 771 · cited 1× · see citing works
“Distinct from IL-6, IL-10 apparently does not induce the expression of suppressor of cytokine signaling 3 (SOCS3), (Ichikawa et al., 2002) and in mice lacking a functional Socs3 gene in macrophages or neutrophils no obvious alteration in IL-10 signal transduction is observed (Yasukawa et al., 2003).”
BackgroundWeinstein, D. A., Roy, C. N., Fleming, M. D., Loda, M. F., Wolfsdorf, J. I., & Andrews, N. C. (2002) · Blood · doi:10.1182/blood-2002-04-1260 · Cited by 632 · cited 1× · see citing works
“, 2010; Ganz and Nemeth, 2012), contributes to the development of anemia under inflammatory conditions (Weinstein et al., 2002; Kemna et al., 2005).”
BackgroundWNT and DKK determine hair follicle spacing through a reaction-diffusion mechanism
Sick, S., Reinker, S., Timmer, J., & Schlake, T. (2006) · Science · doi:10.1126/science.1130088 · Cited by 612 · see citing works
Self-citationPhysicochemical modelling of cell signalling pathways
Aldridge, B. B., Burke, J. M., Lauffenburger, D. A., & Sorger, P. K. (2006) · Nature Cell Biology · doi:10.1038/ncb1497 · Cited by 592 · see citing works
A reproducible and well-tolerated method for 2/3 partial hepatectomy in mice
Mitchell, C., & Willenbring, H. (2008) · Nature Protocols · doi:10.1038/nprot.2008.80 · Cited by 577 · cited 1× · see citing works
“To provide a basis for our ex vivo experiments and to enable model predictions of physiological relevance, we determined physiological IL-6 concentrations in mice following partial hepatectomy (PHx; Mitchell and Willenbring, 2008) and lipopolysaccharide (LPS) injection (Fattori et al.”
MethodInflammatory cytokines in cancer: tumour necrosis factor and interleukin 6 take the stage
Grivennikov, S. I., & Karin, M. (2011) · Annals of the Rheumatic Diseases · doi:10.1136/ard.2010.140145 · Cited by 560 · cited 2× · see citing works
“Persistent inflammation can initiate or promote (Grivennikov and Karin, 2011) malignant progression and a pro-tumorigenic role of IL-6, which is elevated in many types of cancer, has been suggested (Heikkila et al.”
BackgroundDefective inflammatory response in interleukin 6-deficient mice.
Fattori, E., Cappelletti, M., Costa, P., Sellitto, C., Cantoni, L., Carelli, M., Faggioni, R., Fantuzzi, G., Ghezzi, P., & Poli, V (1994) · The Journal of experimental medicine · doi:10.1084/jem.180.4.1243 · Cited by 525 · cited 1× · see citing works
“To provide a basis for our ex vivo experiments and to enable model predictions of physiological relevance, we determined physiological IL-6 concentrations in mice following partial hepatectomy (PHx; Mitchell and Willenbring, 2008) and lipopolysaccharide (LPS) injection (Fattori et al., 1994; Copeland et al., 2005), wh…”
MethodTime-course analysis of hepcidin, serum iron, and plasma cytokine levels in humans injected with LPS
Kemna, E., Pickkers, P., Nemeth, E., van der Hoeven, H., & Swinkels, D. (2005) · Blood · doi:10.1182/blood-2005-03-1159 · Cited by 498 · cited 1× · see citing works
“, 2010; Ganz and Nemeth, 2012), contributes to the development of anemia under inflammatory conditions (Weinstein et al., 2002; Kemna et al., 2005).”
BackgroundUsing process diagrams for the graphical representation of biological networks
Kitano, H., Funahashi, A., Matsuoka, Y., & Oda, K. (2005) · Nature Biotechnology · doi:10.1038/nbt1111 · Cited by 483 · see citing works
Role of IL-33 in inflammation and disease
Miller, A. M. (2011) · Journal of Inflammation · doi:10.1186/1476-9255-8-22 · Cited by 481 · see citing works
Prediction and validation of the distinct dynamics of transient and sustained ERK activation
Sasagawa, S., Ozaki, Y.-I., Fujita, K. A., & Kuroda, S. (2005) · Nature Cell Biology · doi:10.1038/ncb1233 · Cited by 451 · cited 1× · see citing works
“showed that the transient activation of ERK depends on rapid increases in the amount of epidermal growth factor and nerve growth factor (NGF), while sustained ERK activation depends on the final NGF concentration (Sasagawa et al., 2005).”
BackgroundCalandra, T., Gérain, J., Heumann, D., Baumgartner, J.-D., & Glauser, M. P. (1991) · The American Journal of Medicine · doi:10.1016/0002-9343(91)90069-a · Cited by 443 · cited 1× · see citing works
“High IL-6 levels are also frequently found and correlate with poor outcome in patients with sepsis, an acute systemic inflammatory response (Waage et al., 1989; Calandra et al., 1991; Damas et al., 1992; Norrby-Teglund et al., 1995).”
BackgroundTennent, G. A., Lovat, L. B., & Pepys, M. B. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.10.4299 · Cited by 438 · see citing works
Understanding and exploiting the endogenous interleukin-10/STAT3-mediated anti-inflammatory response
MURRAY, P. (2006) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2006.01.010 · Cited by 436 · cited 3× · see citing works
“…(Yin et al., 2011), the ability of IL-10 to induce signaling via JAK1/STAT3 appears primarily restricted to cells of the immune system, such as macrophages and dendritic cells, due to the expression of the IL-10 receptor that is most prominent in these cell types (Murray, 2006; Sabat et al., 2010).”
BackgroundAcute Inflammatory Response to Endotoxin in Mice and Humans
Copeland, S., Warren, H. S., Lowry, S. F., Calvano, S. E., & Remick, D. G. (2005) · Clinical and Vaccine Immunology · doi:10.1128/cdli.12.1.60-67.2005 · Cited by 427 · cited 1× · see citing works
“To provide a basis for our ex vivo experiments and to enable model predictions of physiological relevance, we determined physiological IL-6 concentrations in mice following partial hepatectomy (PHx; Mitchell and Willenbring, 2008) and lipopolysaccharide (LPS) injection (Fattori et al., 1994; Copeland et al., 2005), wh…”
MethodAgouti C57BL/6N embryonic stem cells for mouse genetic resources
Pettitt, S. J., Liang, Q., Rairdan, X. Y., Moran, J. L., Prosser, H. M., Beier, D. R., Lloyd, K. C. K., Bradley, A., & Skarnes, W. C. (2009) · Nature Methods · doi:10.1038/nmeth.1342 · Cited by 384 · cited 1× · see citing works
“Gene targeting was performed in the mouse embryonic stem (ES) cell line JM8A3 (Pettitt et al., 2009) by electroporation of the linearized gene targeting construct followed by selection with G418 (Life Technologies) and Ganciclovir.”
MethodBode, J. G., Albrecht, U., Häussinger, D., Heinrich, P. C., & Schaper, F. (2012) · European Journal of Cell Biology · doi:10.1016/j.ejcb.2011.09.008 · Cited by 379 · cited 1× · see citing works
“Although, APPs fulfill beneficial roles in host defense and tissue repair (Bode et al., 2012), several adverse effects have been reported for different APPs.”
BackgroundSelf-citationReich, N. C., & Liu, L. (2006) · Nature Reviews Immunology · doi:10.1038/nri1885 · Cited by 376 · cited 2× · see citing works
“In unstimulated cells, mKate2-STAT3 was equally distributed between cytoplasm and nucleus (STAT3 nuc/cyt ratio of 1), in accordance with the previously reported continuous shuttling of STAT3 independent of its activation state (Liu et al., 2005; Reich and Liu, 2006).”
BackgroundSchoeberl, B., Pace, E. A., Fitzgerald, J. B., Harms, B. D., Xu, L., Nie, L., Linggi, B. E., Kalra, A. V., Paragas, V. B., Bukhalid, R. A., et al. (2009) · Science Signaling · doi:10.1126/scisignal.2000352 · Cited by 358 · see citing works
The T Cell Protein Tyrosine Phosphatase Is a Negative Regulator of Janus Family Kinases 1 and 3
Simoncic, P. D., Lee-Loy, A., Barber, D. L., Tremblay, M. L., & McGlade, C. J. (2002) · Current Biology · doi:10.1016/s0960-9822(02)00697-8 · Cited by 354 · see citing works
STAT3 nuclear import is independent of tyrosine phosphorylation and mediated by importin-α3
Liu, L., McBride, K. M., & Reich, N. C. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0501643102 · Cited by 348 · cited 2× · see citing works
“In unstimulated cells, mKate2-STAT3 was equally distributed between cytoplasm and nucleus (STAT3 nuc/cyt ratio of 1), in accordance with the previously reported continuous shuttling of STAT3 independent of its activation state (Liu et al., 2005; Reich and Liu, 2006).”
BackgroundAlonzi, T., Maritano, D., Gorgoni, B., Rizzuto, G., Libert, C., & Poli, V. (2001) · Molecular and Cellular Biology · doi:10.1128/mcb.21.5.1621-1632.2001 · Cited by 329 · cited 7× · see citing works
“…not significantly regulated in our microarray analysis (Figure 2C), but have previously been reported to be IL-6 responsive and STAT3-dependent (Alonzi et al., 2001). qPCR analysis identified Hp and Hpx to be late-response genes with increased expression at 24 and 48 h of IL-6 treatment…”
BackgroundInfluentialSwameye, I., Müller, T. G., Timmer, J., Sandra, O., & Klingmüller, U. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0237333100 · Cited by 316 · see citing works
Self-citationSTAT3 Is Required for IL-6-gp130–Dependent Activation of Hepcidin In Vivo
Pietrangelo, A., Dierssen, U., Valli, L., Garuti, C., Rump, A., Corradini, E., Ernst, M., Klein, C., & Trautwein, C. (2007) · Gastroenterology · doi:10.1053/j.gastro.2006.10.018 · Cited by 315 · cited 13× · see citing works
“In contrast, the sensitivities of intermediate and late APP genes were similar to that of Socs3—Fgg,Hamp, Il33, Apcs,Hp, andHpxmRNAswere induced from 1 to 10 ng/mL hIL6.”
BackgroundInfluentialKershaw, N. J., Murphy, J. M., Liau, N. P. D., Varghese, L. N., Laktyushin, A., Whitlock, E. L., Lucet, I. S., Nicola, N. A., & Babon, J. J. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2519 · Cited by 301 · cited 1× · see citing works
“SOCS3 inhibits the signaling pathway by increasing degradation of the receptor complex as well as inhibiting phosphorylation of STAT3 by the fully activated receptor complex (Starr et al., 1997; Babon et al., 2012; Kershaw et al., 2013).”
BackgroundJanus kinase inhibitors for the treatment of myeloproliferative neoplasias and beyond
Quintás‐Cardama, A., Kantarjian, H. M., Cortes, J. E., & Verstovšek, S. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3264 · Cited by 292 · cited 1× · see citing works
“Ruxolitinib is also tested for the treatment of other malignancies as well as chronic inflammatory diseases such as rheumatoid arthritis (Williams et al., 2008; Quintas-Cardama et al., 2011).”
BackgroundClassic and contemporary approaches to modeling biochemical reactionsPreprint
Chen, W. W., Niepel, M., & Sorger, P. K. (2010) · Genes & Development · doi:10.1101/gad.1945410 · Cited by 287 · cited 1× · see citing works
“Although, some parameter values such as initial protein concentrations may be accessible by measurements, most parameter values remain unknown and have to be estimated based on experimental data (Aldridge et al., 2006; Chen et al., 2010).”
BackgroundBabon, J. J., Kershaw, N. J., Murphy, J. M., Varghese, L. N., Laktyushin, A., Young, S. N., Lucet, I. S., Norton, R. S., & Nicola, N. A. (2012) · Immunity · doi:10.1016/j.immuni.2011.12.015 · Cited by 279 · cited 1× · see citing works
“SOCS3 inhibits the signaling pathway by increasing degradation of the receptor complex as well as inhibiting phosphorylation of STAT3 by the fully activated receptor complex (Starr et al., 1997; Babon et al., 2012; Kershaw et al., 2013).”
BackgroundMitosis and Apoptosis in the Liver of Interleukin–6-Deficient Mice After Partial Hepatectomy
Sakamoto, T., Liu, Z., Murase, N., Ezure, T., Yokomuro, S., Poli, V., & Demetris, A. J. (1999) · Hepatology · doi:10.1002/hep.510290244 · Cited by 276 · see citing works
Interleukin-33 overexpression is associated with liver fibrosis in mice and humans
Marvie, P., Lisbonne, M., L’Helgoualc’h, A., Rauch, M., Turlin, B., Preisser, L., Bourd‐Boittin, K., Théret, N., Gascan, H., Piquet‐Pellorce, C., et al. (2010) · Journal of Cellular and Molecular Medicine · doi:10.1111/j.1582-4934.2009.00801.x · Cited by 251 · cited 1× · see citing works
“, 2005) was described to be induced in fibrotic livers, and hepatic stellate cells were suggested as major IL-33 producer in this context (Marvie et al., 2010).”
BackgroundYamamoto, T., Sekine, Y., Kashima, K., Kubota, A., Sato, N., Aoki, N., & Matsuda, T. (2002) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(02)02291-x · Cited by 250 · cited 1× · see citing works
“Deactivation of nuclear STAT3 was suggested to be mediated by phosphatases (Yamamoto et al., 2002).”
BackgroundSHP2 and SOCS3 Contribute to Tyr-759-dependent Attenuation of Interleukin-6 Signaling through gp130
Lehmann, U., Schmitz, J., Weissenbach, M., Sobota, R. M., Hörtner, M., Friederichs, K., Behrmann, I., Tsiaris, W., Sasaki, A., Schneider-Mergener, J., et al. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m210552200 · Cited by 236 · cited 1× · see citing works
“Stimulus-independent negative regulatory mechanisms at the receptor level, as reported for JAK1 (Simoncic et al., 2002; Lehmann et al., 2003), were taken into account by including two deactivating steps.”
BackgroundSystematic review of the association between circulating interleukin-6 (IL-6) and cancer
Heikkilä, K., Ebrahim, S., & Lawlor, D. A. (2008) · European Journal of Cancer · doi:10.1016/j.ejca.2008.02.047 · Cited by 232 · cited 1× · see citing works
“Persistent inflammation can initiate or promote (Grivennikov and Karin, 2011) malignant progression and a pro-tumorigenic role of IL-6, which is elevated in many types of cancer, has been suggested (Heikkila et al., 2008).”
BackgroundData2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems
Raue, A., Steiert, B., Schelker, M., Kreutz, C., Maiwald, T., Hass, H., Vanlier, J., Tönsing, C., Adlung, L., Engesser, R., et al. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv405 · Cited by 226 · cited 1× · see citing works
“The model is described by a set of coupled non-linear differential equations implemented using the Data2Dynamics software package (Raue et al., 2015) In each simulated experiment, the model is equilibrated to steady state prior to treatment with inhibitors or stimulation.”
MethodSelf-citationSystems-level interactions between insulin–EGF networks amplify mitogenic signaling
Borisov, N., Aksamitiene, E., Kiyatkin, A., Legewie, S., Berkhout, J., Maiwald, T., Kaimachnikov, N. P., Timmer, J., Hoek, J. B., & Kholodenko, B. N. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.19 · Cited by 222 · cited 2× · see citing works
“By iteratively combining mathematical modeling with model-guided experiments, these and other studies (Alon et al., 1999; Sick et al., 2006; Borisov et al., 2009; Becker et al., 2010; Bachmann et al., 2011) demonstrated that it is possible to capture biological behavior, reject hypotheses which fail to describe data a…”
MethodSelf-citationZeremski, M., Petrovic, L. M., Chiriboga, L. A., Brown, Q. B., Yee, H. T., Kinkhabwala, M. M., Jacobson, I. M., Dimova, R. B., Markatou, M., & Talal, A. H. (2008) · Hepatology · doi:10.1002/hep.22500 · Cited by 214 · see citing works
Yamanaka, Y., Nakajima, K., Fukada, T., Hibi, M., & Hirano, T. (1996) · The EMBO Journal · doi:10.1002/j.1460-2075.1996.tb00500.x · Cited by 211 · see citing works
Mesa, R. A., Yasothan, U., & Kirkpatrick, P. N. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3652 · Cited by 200 · see citing works
ANDUS, T., GEIGER, T., HIRANO, T., KISHIMOTO, T., TRAN‐THI, T., DECKER, K., & HEINRICH, P. C. (1988) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1988.tb13997.x · Cited by 188 · cited 1× · see citing works
“Because the hepatic acute phase response is largely regulated at the transcriptional level (Andus et al., 1988; Heinrich et al., 1990), we studied IL-6-induced mRNA expression changes in primary mouse hepatocytes.”
BackgroundWiśniewski, J. R., Vildhede, A., Norén, A., & Artursson, P. (2016) · Journal of Proteomics · doi:10.1016/j.jprot.2016.01.016 · Cited by 185 · cited 1× · see citing works
“The obtained value for STAT3 is in good agreement with recently published data from a mass spectrometry approach to determine molecules per cell in primary human hepatocytes (Wisniewski et al., 2016).”
ResultLin, Q., Meloni, D., Pan, Y., Xia, M., Rodgers, J., Shepard, S., Li, M., Galya, L., Metcalf, B., Yue, T.-Y., et al. (2009) · Organic Letters · doi:10.1021/ol900350k · Cited by 171 · see citing works
Shi, J. G., Chen, X., McGee, R. F., Landman, R. R., Emm, T., Lo, Y., Scherle, P. A., Punwani, N. G., Williams, W. V., & Yeleswaram, S. (2011) · The Journal of Clinical Pharmacology · doi:10.1177/0091270010389469 · Cited by 168 · cited 8× · see citing works
“In line with the previous observation in a clinical trial (Shi et al., 2011), the efficacy of Ruxolitinib decreased with increasing incubation time.”
BackgroundMethodResultInfluentialCovering a Broad Dynamic Range: Information Processing at the Erythropoietin Receptor
Becker, V., Schilling, M., Bachmann, J., Baumann, U., Raue, A., Maiwald, T., Timmer, J., & Klingmüller, U. (2010) · Science · doi:10.1126/science.1184913 · Cited by 159 · see citing works
Self-citationNakamura, K., Nonaka, H., Saito, H., Tanaka, M., & Miyajima, A. (2004) · Hepatology · doi:10.1002/hep.20086 · Cited by 157 · cited 1× · see citing works
“However, OSM is primarily involved in developmental processes (Nakamura et al., 2004) and presumably only contributes to a lesser extent to the immediate activation of the acute phase response upon liver damage.”
BackgroundFibrinogen and silent atherosclerosis in subjects with cardiovascular risk factors
Levenson, J., Giral, P., Razavian, M., Gariepy, J., & Simon, A. (1995) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.15.9.1263 · Cited by 152 · cited 1× · see citing works
“Elevated expression of fibrinogen was related to formation and progression of atherosclerotic plaques (Levenson et al., 1995) and serum amyloid P, the major APP in mice, was suggested to contribute to the persistence of amyloid deposits (Tennent et al.”
BackgroundAldeguer, X., Debonera, F., Shaked, A., Krasinkas, A. M., Gelman, A. E., Que, X., Zamir, G. A., Hiroyasu, S., Kovalovich, K. K., Taub, R., et al. (2002) · Hepatology · doi:10.1053/jhep.2002.30081 · Cited by 138 · see citing works
Likelihood based observability analysis and confidence intervals for predictions of dynamic models
Kreutz, C., Raue, A., & Timmer, J. (2012) · BMC Systems Biology · doi:10.1186/1752-0509-6-120 · Cited by 134 · cited 1× · see citing works
“Moreover, uncertainty analysis can give insight into how well a model is constrained and what kind of predictive power one can expect when predicting similar experiments (Kreutz et al., 2012; Vanlier et al., 2013).”
BackgroundSelf-citationInterleukin-6 is elevated in plasma in multiple sclerosis
Krei, K., Fredrikson, S., Fontana, A., & Link, H. (1991) · Journal of Neuroimmunology · doi:10.1016/0165-5728(91)90020-8 · Cited by 130 · see citing works
The Liver: Biology and Pathobiology
Iber, F. L. (2002) · JAMA · doi:10.1001/jama.287.4.524 · Cited by 130 · see citing works
Klingmüller, U., Bauer, A., Bohl, S., Nickel, P. J., Breitkopf, K., Dooley, S., Zellmer, S., Kern, C., Merfort, I., Sparna, T., et al. (2006) · IEE Proceedings - Systems Biology · doi:10.1049/ip-syb:20050067 · Cited by 127 · see citing works
Self-citationParameter uncertainty in biochemical models described by ordinary differential equations
Vanlier, J., Tiemann, C. A., Hilbers, P. A. J., & van Riel, N. A. W. (2013) · Mathematical Biosciences · doi:10.1016/j.mbs.2013.03.006 · Cited by 116 · cited 1× · see citing works
“Moreover, uncertainty analysis can give insight into how well a model is constrained and what kind of predictive power one can expect when predicting similar experiments (Kreutz et al., 2012; Vanlier et al., 2013).”
BackgroundSelf-citationInterleukin-11 Links Oxidative Stress and Compensatory Proliferation
Nishina, T., Komazawa‐Sakon, S., Yanaka, S., Piao, X., Zheng, D.-M., Piao, J., Kojima, Y., Yamashina, S., Sano, E., Putoczki, T. L., et al. (2012) · Science Signaling · doi:10.1126/scisignal.2002056 · Cited by 115 · cited 2× · see citing works
“IL11 was shown to be mainly involved in hepatocellular responses upon oxidative stress and hepatotoxic drugs (Nishina et al., 2012).”
Backgroundvan Dam, M., Müllberg, J., Schooltink, H., Stoyan, T., Brakenhoff, J. P. J., Graeve, L., Heinrich, P. C., & Rose‐John, S. (1993) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)82467-x · Cited by 113 · see citing works
Self-citationShilling, A. D., Nedza, F. M., Emm, T., Diamond, S., McKeever, E., Punwani, N., Williams, W., Arvanitis, A., Galya, L. G., Li, M., et al. (2010) · Drug Metabolism and Disposition · doi:10.1124/dmd.110.033787 · Cited by 111 · cited 1× · see citing works
“Specifically, a model-predicted treatment with a high initial bolus and two following lower doses is necessary for a longterm effect of the clinically applied inhibitor Ruxolitinib, thus counteracting its rapidmetabolism (Shilling et al., 2010) resulting in its short half-life (Shi et al., 2011).”
BackgroundIL-22 is involved in liver regeneration after hepatectomy
Ren, X., Hu, B., & Colletti, L. M. (2010) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00075.2009 · Cited by 109 · cited 2× · see citing works
“did not detect a statistically significant increase of Il22 mRNA in mice in response to hepatectomy, but rather reported a statistically significant increase of IL-22 protein in the serum starting at 6 h post hepatectomy with a peak at 12 h (Ren et al., 2010).”
BackgroundZeremski, M., Dimova, R. B., Brown, Q. B., Jacobson, I. M., Markatou, M., & Talal, A. H. (2009) · The Journal of Infectious Diseases · doi:10.1086/646614 · Cited by 107 · see citing works
Division of labor by dual feedback regulators controls JAK2/STAT5 signaling over broad ligand range
Bachmann, J., Raue, A., Schilling, M., Böhm, M. E., Kreutz, C., Kaschek, D., Busch, H. S., Gretz, N., Lehmann, W. D., Timmer, J., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.50 · Cited by 106 · see citing works
Self-citationBehrmann (2004) · doi:10.1074/jbc.m404202200 · Cited by 98 · see citing works
Macrophages induce differentiation of plasma cells through CXCL10/IP-10
Xu, W. D., Joo, H., Clayton, S., Dullaers, M., Herve, M.-C., Blankenship, D., de la Morena, M. T., BALDERAS, R. S., Pïcard, C., Casanova, J., et al. (2012) · The Journal of Experimental Medicine · doi:10.1084/jem.20112142 · Cited by 98 · see citing works
Driving the Model to Its Limit: Profile Likelihood Based Model Reduction
Maiwald, T., Hass, H., Steiert, B., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162366 · Cited by 98 · cited 1× · see citing works
“To evaluate that parameters are identifiable (Maiwald et al., 2016), profile likelihood calculation followed by either model reduction or additional data acquisition were iteratively applied.”
MethodSelf-citationHuang, M. (2003) · Cardiovascular Research · doi:10.1016/s0008-6363(03)00340-7 · Cited by 96 · see citing works
Nucleocytoplasmic shuttling of persistently activated STAT3
Herrmann, A., Vogt, M., Mönnigmann, M., Clahsen, T., Sommer, U., Haan, S., Poli, V., Heinrich, P. C., & Müller-Newen, G. (2007) · Journal of Cell Science · doi:10.1242/jcs.03482 · Cited by 94 · see citing works
Modeling regulatory mechanisms in IL‐6 signal transduction in hepatocytes
Singh, A., Jayaraman, A., & Hahn, J. (2006) · Biotechnology and Bioengineering · doi:10.1002/bit.21026 · Cited by 89 · see citing works
Navikas, V., Matusevicius, D., Söderström, M., Fredrikson, S., Kivisäkk, P., Ljungdahl, Å., Hojeberg, B., & Link, H. (1996) · Journal of Neuroimmunology · doi:10.1016/0165-5728(95)00155-7 · Cited by 88 · cited 1× · see citing works
“, 1988), multiple sclerosis (Frei et al., 1991; Navikas et al., 1996), and Crohn’s disease (Ito, 2003).”
BackgroundInterleukin 17–Producing γδT Cells Promote Hepatic Regeneration in Mice
Rao, R., Graffeo, C. S., Gulati, R., Jamal, M., Narayan, S., Zambirinis, C. P., Barilla, R., Deutsch, M., Greco, S. H., Ochi, A., et al. (2014) · Gastroenterology · doi:10.1053/j.gastro.2014.04.042 · Cited by 81 · cited 3× · see citing works
“However, other cytokines such as Oncostatin-M (OSM), IL11, IL-10, and IL-22, also induce STAT3 phosphorylation (see Nakamura et al., 2004; Sabat et al., 2010; Nishina et al., 2012; Rao et al., 2014) and therefore could contribute to the complex regenerative and inflammatory signaling in the liver.”
BackgroundAdlung, L., Kar, S., Wagner, M., She, B., Chakraborty, S., Bao, J., Lattermann, S., Boerries, M., Busch, H. S., Wuchter, P., et al. (2017) · Molecular Systems Biology · doi:10.15252/msb.20167258 · Cited by 79 · see citing works
Self-citationSchilling, M., Maiwald, T., Böhl, S., Kollmann, M., Kreutz, C., Timmer, J., & Klingmüller, U. (2005) · FEBS Journal · doi:10.1111/j.1742-4658.2005.05037.x · Cited by 75 · see citing works
Self-citationRaia, V., Schilling, M., Böhm, M., Hahn, B., Kowarsch, A., Raue, A., Sticht, C., Böhl, S., Saile, M., Mӧller, P., et al. (2010) · Cancer Research · doi:10.1158/0008-5472.can-10-2987 · Cited by 74 · see citing works
Self-citationTime delay in simple chemostat models
Macdonald, N. (1976) · Biotechnology and Bioengineering · doi:10.1002/bit.260180604 · Cited by 73 · cited 1× · see citing works
“The generation of cytoplasmic RNA was modeled including a delay (τ ; MacDonald, 1976; Bachmann et al., 2011) for both Socs3 and APP genes to account for processing and nuclear export of these early-induced transcripts.”
MethodCorrelation between Serum TNFα and IL6 levels and Severity of Group: A Streptococcal Infections
Norrby‐Teglund, A., Pauksens, K., Norgren, M., et al. (1995) · Scandinavian Journal of Infectious Diseases · doi:10.3109/00365549509018991 · Cited by 72 · see citing works
Molecular pathways: hepatitis C virus, CXCL10, and the inflammatory road to liver cancer
Brownell, J., & Polyak, S. J. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-0928 · Cited by 70 · cited 2× · see citing works
“In the context of hepatitis C virus infection, CXCL10 was suggested to contribute to persistent liver inflammation and fibrosis (Zeremski et al., 2008, 2009; Brownell and Polyak, 2013).”
BackgroundYin, S., Wang, H., Park, O., Wei, W., Shen, J., & Gao, B. (2011) · The American Journal of Pathology · doi:10.1016/j.ajpath.2011.01.001 · Cited by 69 · cited 5× · see citing works
“After partial hepatectomy Yin et al. observed after 1 h an increase in Il10 mRNA expression, but the concentration of IL-10 protein was not examined (Yin et al., 2011).”
BackgroundMethodResultInfluentialExperimental Design for Parameter Estimation of Gene Regulatory Networks
Steiert, B., Raue, A., Timmer, J., & Kreutz, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040052 · Cited by 66 · see citing works
Self-citationIto, H. (2003) · Current Drug Target -Inflammation & Allergy · doi:10.2174/1568010033484296 · Cited by 65 · cited 1× · see citing works
“Increased activity of interleukin (IL)-6 has been associated with chronic inflammatory diseases including rheumatoid arthritis (Hirano et al., 1988), multiple sclerosis (Frei et al., 1991; Navikas et al., 1996), and Crohn’s disease (Ito, 2003).”
BackgroundPredictive mathematical models of cancer signalling pathways
Bachmann, J., Raue, A., Schilling, M., Becker, V., Timmer, J., & Klingmüller, U. (2012) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2011.02492.x · Cited by 63 · see citing works
Self-citationPiao, W., Ru, L. W., Piepenbrink, K. H., Sundberg, E. J., Vogel, S. N., & Toshchakov, V. Y. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313575110 · Cited by 60 · cited 2× · see citing works
“, 2011) and inflammation (Waage et al., 1989; Damas et al., 1992; Piao et al., 2013), but a direct comparison of regenerative and inflammatory conditions has not been performed yet.”
BackgroundP2X1-regulated IL-22 secretion by innate lymphoid cells is required for efficient liver regeneration
Kudira, R., Malinka, T., Kohler, A., Dosch, M., de Agüero, M. G., Melin, N., Haegele, S., Starlinger, P., Maharjan, N., Saxena, S., et al. (2016) · Hepatology · doi:10.1002/hep.28492 · Cited by 50 · cited 1× · see citing works
“Analysis of IL-22 knockout mice revealed that in the absence of IL-22 hepatocellular proliferation at 48 h post hepatectomy is reduced (Kudira et al., 2016).”
BackgroundSTAT3 signaling within hepatocytes is required for anemia of inflammation in vivo
Sakamori, R., Takehara, T., Tatsumi, T., Shigekawa, M., Hikita, H., Hiramatsu, N., Kanto, T., & Hayashi, N. (2009) · Journal of Gastroenterology · doi:10.1007/s00535-009-0159-y · Cited by 49 · cited 1× · see citing works
“Hepcidin, for instance, a crucial regulator of iron homeostasis (Sakamori et al., 2010; Ganz and Nemeth, 2012), contributes to the development of anemia under inflammatory conditions (Weinstein et al.”
BackgroundMolecular dissection of gp130-dependent pathways in hepatocytes during liver regeneration
Dierssen, U., Beraza, N., Lutz, H. H., Liedtke, C., Ernst, M., Wasmuth, H. E., & Trautwein, C. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m705483200 · Cited by 48 · cited 1× · see citing works
“is relevant for IL-6-induced APP expression whereas MAPK activation is dispensable (Dierssen et al., 2008).”
BackgroundNechemia-Arbely, Y., Shriki, A., Denz, U., Drucker, C., Scheller, J., Raub, J., Pappo, O., Rose-John, S., Galun, E., & Axelrod, J. H. (2011) · Journal of Hepatology · doi:10.1016/j.jhep.2010.08.017 · Cited by 42 · cited 2× · see citing works
“Determined serum levels agree with previously reported values after PHx (1–2 ng/mL; Nechemia-Arbely et al., 2011; Yin et al., 2011) and LPS treatment (175 ng/mL; Piao et al.”
BackgroundResultSelf-citationSchilling, M., Maiwald, T., Böhl, S., Kollmann, M., Kreutz, C., Timmer, J., & Klingmüller, U. (2005) · Systems Biology · doi:10.1049/ip-syb:20050044 · Cited by 38 · see citing works
Self-citationInvolvement of IL-1β and IL-10 in IFN-α-mediated antiviral gene induction in human hepatoma cells
Ichikawa, T., Nakao, K., Nakata, K., et al. (2002) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(02)00502-8 · Cited by 36 · cited 1× · see citing works
“Distinct from IL-6, IL-10 apparently does not induce the expression of suppressor of cytokine signaling 3 (SOCS3), (Ichikawa et al., 2002) and in mice lacking a functional Socs3 gene in macrophages or neutrophils no obvious alteration in IL-10 signal transduction is observed (Yasukawa et al., 2003).”
BackgroundResolving the Role of Il–6 in Liver Regeneration
Zimmers, T. A., Pierce, R. H., McKillop, I. H., & Koniaris, L. G. (2003) · Hepatology · doi:10.1016/j.hep.2003.09.021 · Cited by 35 · see citing works
Specific activation of AP‐1 but not Stat3 in regenerating liver in mice
Heim, M. H., Gamboni, G., Beglinger, C., & Gyr, K. (1997) · European Journal of Clinical Investigation · doi:10.1046/j.1365-2362.1997.2100770.x · Cited by 34 · cited 2× · see citing works
“…PHx and LPS treated livers, and returned to levels close to baseline at 24 h. STAT3 activation was also detectable in animals treated with sham surgery, which has been reported previously (Cressman et al., 1996; Heim et al., 1997), and which is likely due to stress caused by the surgical procedure.”
BackgroundModel-driven experimental analysis of the function of SHP-2 in IL-6-induced Jak/STAT signaling
Dittrich, A., Quaiser, T., Khouri, C., Görtz, D., Mönnigmann, M., & Schaper, F. (2012) · Molecular BioSystems · doi:10.1039/c2mb05488d · Cited by 32 · cited 1× · see citing works
“Although several ODE-based mathematical models of IL6 signaling have been reported to date (Singh et al., 2006; Moya et al., 2011; Dittrich et al., 2012), only with a recently described mathematical model (Xu et al.”
MethodInvestigation of IL-6 and IL-10 signalling via mathematical modelling
Moya, C., Huang, Z. J., Cheng, P., Jayaraman, A., & Hahn, J. (2011) · IET Systems Biology · doi:10.1049/iet-syb.2009.0060 · Cited by 32 · cited 3× · see citing works
“Compared to the earlier approaches (Singh et al., 2006; Moya et al., 2011; Xu et al., 2015) that partly relied on literature derived parameter values obtained from different cell types and stimulating agents, the amount of experimental data used for calibration and validation of the model presented here is more extens…”
MethodDumoutier, L., de Heusch, M., Orabona, C., Satoh‐Takayama, N., Eberl, G., Sirard, J., Santo, J. P. D., & Renauld, J. (2011) · European Journal of Immunology · doi:10.1002/eji.201040878 · Cited by 30 · cited 2× · see citing works
“These studies showed a peak of Il22 mRNA in the serum after 2–3 h post LPS injection and elevated serum levels of IL-22 at 4 h post treatment (Dumoutier et al., 2011).”
BackgroundInfluentialWegenka, U. M., Dikopoulos, N., Reimann, J., Adler, G., & Wahl, C. (2007) · Journal of Hepatology · doi:10.1016/j.jhep.2006.08.009 · Cited by 30 · cited 2× · see citing works
“Further, in response to LPS injection a very low level of induction of Il22 mRNA was observed in the liver with a peak at 4 h post injection, whereas a much stronger activation of Il22 mRNA with comparable kinetics was observed in the spleen (Wegenka et al., 2007).”
BackgroundHuard, J., Mueller, S., Gilles, E. D., Klingmüller, U., & Klamt, S. (2012) · The FEBS Journal · doi:10.1111/j.1742-4658.2012.08572.x · Cited by 29 · see citing works
Self-citationWallace, D. F., & Subramaniam, V. N. (2015) · International Immunology · doi:10.1093/intimm/dxu144 · Cited by 28 · cited 1× · see citing works
“Further, 6 h post LPS injection a very heterogeneous decrease in STAT3 phosphorylation is observed in IL-22 knockout mice compared to wild type mice (Wallace and Subramaniam, 2015) and the authors concluded that the IL22 knockout mice display appropriate inflammatory responses to LPS in the liver.”
BackgroundSamsonov, A., Zenser, N., Zhang, F., Zhang, H., Fetter, J. R., & Malkov, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068391 · Cited by 26 · cited 1× · see citing works
“Generation of mKate2-STAT3 Knock-In Mouse To generate the mKate2-STAT3 reporter gene, we based the fusion construct on earlier studies (see Herrmann et al., 2007; Samsonov et al., 2013) and inserted the mKate2-coding sequence in front of the first exon of STAT3 by BAC recombineering.”
MethodT160-phosphorylated CDK2 defines threshold for HGF-dependent proliferation in primary hepatocytes
Mueller, S., Huard, J., Waldow, K., Huang, X., D'Alessandro, L. A., Bohl, S., Börner, K., Grimm, D., Klamt, S., Klingmüller, U., et al. (2015) · Molecular Systems Biology · doi:10.15252/msb.20156032 · Cited by 23 · cited 2× · see citing works
“The previously determined (Mueller et al., 2015) ratio of cytoplasmic to nuclear volume of primary mouse hepatocytes (12.”
BackgroundInfluentialSelf-citationIwamoto, N., D’Alessandro, L. A., Depner, S., Hahn, B., Kramer, B. A., Lucarelli, P., Vlasov, A., Stepath, M., Böhm, M. E., Deharde, D., et al. (2016) · Science Signaling · doi:10.1126/scisignal.aab1967 · Cited by 19 · cited 2× · see citing works
“Whereas quantitative immunoblotting, multiplexed bead-based arrays, and qRT-PCR permit very detailed time-resolved analysis, omics technologies will be increasingly employed for quantitative analysis and to facilitate the link to primary patient material (Iwamoto et al., 2016; Adlung et al., 2017).”
MethodSelf-citationOne-source peptide/phosphopeptide standards for accurate phosphorylation degree determination
Hahn, B., Böhm, M., Raia, V., Zinn, N., Möller, P., Klingmüller, U., & Lehmann, W. (2011) · PROTEOMICS · doi:10.1002/pmic.201000569 · Cited by 16 · cited 1× · see citing works
“Using quantitative mass spectrometry (Hahn et al., 2011), we determined the sitespecific degree of Tyr-705 phosphorylation of STAT3 at the time point of maximal activation (54.”
BackgroundSelf-citationKlein, C., Medina, E., Sander, L., Dierssen, U., Roskams, T., Mueller, W., Trautwein, C., & Goldmann, O. (2007) · The Journal of Infectious Diseases · doi:10.1086/520090 · Cited by 11 · cited 1× · see citing works
“Accordingly, abrogation of glycoprotein 130 (gp130)-dependent signaling in hepatocytes was shown to prolong survival and to reduce liver damage in an in vivo sepsis model (Klein et al., 2007).”
BackgroundSerum cytokine concentration after liver lobe harvesting for transplantation.
Słotwiński, R., Olszewski, W. L., Paluszkiewicz, R., et al. (2002) · PubMed · Cited by 7 · see citing works
Modeling the Dynamics of Acute Phase Protein Expression in Human Hepatoma Cells Stimulated by IL-6
Xu, Z., Karlsson, J. O. M., & Huang, Z. J. (2015) · Processes · doi:10.3390/pr3010050 · Cited by 6 · cited 4× · see citing works
“Compared to the earlier approaches (Singh et al., 2006; Moya et al., 2011; Xu et al., 2015) that partly relied on literature derived parameter values obtained from different cell types and stimulating agents, the amount of experimental data used for calibration and validation of the model presented here is more extens…”
BackgroundMethodInfluentialBoehm, M. E., Hahn, B., & Lehmann, W. D. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-0685-7_24 · Cited by 4 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
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- Rote, 2016, Jakavi (R) [Package Insert]; Novartis Pharma GmbH
- Williams, 2008, A Randomized Placebo-Controlled Study of INCB018424, A Selective Janus kinase 1& 2 (JAK1 & 2) Inhibitor in Rheumatoid Arthritis (RA)
Cited by
Sorted by citations
Reeh, H., Rudolph, N., Billing, U., Christen, H., Streif, S., Bullinger, E., Schliemann-Bullinger, M., Findeisen, R., Schaper, F., Huber, H. J., et al. (2019) · Cell Communication and Signaling · doi:10.1186/s12964-019-0356-0 · Cited by 180 · see citing works
Benchmark problems for dynamic modeling of intracellular processes
Hass, H., Loos, C., Raimúndez, E., Timmer, J., Hasenauer, J., & Kreutz, C. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz020 · Cited by 80 · see citing works
Self-citationForcina, L., Miano, C., Scicchitano, B. M., & Musarò, A. (2019) · Cells · doi:10.3390/cells8030232 · Cited by 79 · see citing works
Robustness and Information Transfer within IL-6-induced JAK/STAT Signalling
Billing, U., Jetka, T., Nortmann, L., Wundrack, N., Komorowski, M., Waldherr, S., Schaper, F., & Dittrich, A. (2019) · Communications Biology · doi:10.1038/s42003-018-0259-4 · Cited by 64 · see citing works
Servais, F., Kirchmeyer, M., Hamdorf, M., Minoungou, N., Rose‐John, S., Kreis, S., Haan, C., & Behrmann, I. (2019) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2019.03.007 · Cited by 38 · see citing works
“Indeed, only a fraction of STAT3 is phosphorylated upon IL-6 stimulation.(40) A certain reduction in the expression can thereby be tolerated without a necessary effect on the absolute amounts of pSTAT3.”
BackgroundSelf-citationHypoxia Routes Tryptophan Homeostasis Towards Increased Tryptamine Production
Mohapatra, S. R., Sadik, A., Sharma, S. A., Poschet, G., Gegner, H. M., Lanz, T. V., Lucarelli, P., Klingmüller, U., Platten, M., Heiland, I., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.590532 · Cited by 33 · see citing works
“Murine hepatocytes were harvested from male animals aged between 8 to 10 weeks according to a standardized protocol described earlier (23).”
MethodSelf-citationMadkour, M., Aboelenin, M. M., Younis, E. A., Mohamed, M. A., Hassan, H., Alagawany, M. M., & Shourrap, M. (2020) · Italian Journal of Animal Science · doi:10.1080/1828051x.2020.1861993 · Cited by 27 · see citing works
“Sobotta et al. (2017) identified IL-6 as the central mediator of the instant induction of hepatic APPs release during infection or after injury.”
BackgroundKalb, D., Vo, H. D., Adikari, S., Hong‐Geller, E., Munsky, B. E., & Werner, J. H. (2021) · Scientific Reports · doi:10.1038/s41598-021-92846-0 · Cited by 19 · see citing works
“[31] Additionally, a model of JAK1-STAT3 signaling was constructed following cell 88 treatment by a JAK inhibitor with validation by wide field fluorescence microscopy.[32] In order 89 to visualize single-cell immune responses, our lab previously used smFISH to monitor the single90”
MethodOncostatin M-driven macrophage-fibroblast circuits as a drug target in autoimmune arthritis
Huynh, N. C., Ling, R., Komagamine, M., Shi, T., Tsukasaki, M., Matsuda, K., Okamoto, K., Asano, T., Muro, R., Pluemsakunthai, W., et al. (2024) · Inflammation and Regeneration · doi:10.1186/s41232-024-00347-0 · Cited by 16 · see citing works
“In the mouse single-cell data, we used the top 50 (ranked by fold change) cytokine target genes of 15 gene sets, including IL-2, IL-4, IL-15, IL-21 [28] IL-7 [29], IL-6 [30], OSM [31], IFN-α/β/γ [32], IL-10 [33], IL-22 [34], GM-CSF [35], EPO [36] and GH [37].”
MethodYoon, J.-S., & Lee, C.-W. (2022) · Experimental & Molecular Medicine · doi:10.1038/s12276-022-00883-0 · Cited by 14 · see citing works
Identification of Interleukin1β as an Amplifier of Interferon alpha-induced Antiviral Responses
Robichon, K., Maiwald, T., Schilling, M., Schneider, A., Willemsen, J., Salopiata, F., Teusel, M., Salopiata, Kreutz, C., Ehlting, C., et al. (2020) · PLoS Pathogens · doi:10.1371/journal.ppat.1008461 · Cited by 9 · see citing works
Self-citationWang, H., Poulain, S., Cao, W., Arakawa, H., Kim, S. H., Kato, Y., Nishikawa, M., Sakai, Y., & Leclerc, É. (2025) · Toxicology · doi:10.1016/j.tox.2025.154345 · Cited by 4 · see citing works
Realistic simulation of time-course measurements in systems biology
Egert, J., & Kreutz, C. (2023) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2023467 · Cited by 4 · see citing works
Lai, X., Keller, C., Santos, G., Schaft, N., Dörrie, J., & Vera, J. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.746359 · Cited by 3 · see citing works
Puerto, A., Zakzuk, N. R. A., Anichiarico, W., Alvis‐Guzmán, N., & Zakzuk, J. (2025) · Biomédica · doi:10.7705/biomedica.7467 · Cited by 2 · see citing works
“IL-6 –secreted by monocytes, macrophages, and T cells in response to recognition of pathogen-associated molecular patterns– stimulates C-reactive protein and hepcidin hormone secretion by hepatocytes through the involvement of the transcription factor STAT3 and NF-kβ (60,61).”
Estimating chain length for time delays in dynamical systems using profile likelihood
Hauber, A. L., Engesser, R., Vanlier, J., & Timmer, J. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz838 · Cited by 2 · see citing works
“Apart from the model of JAK2/STAT5 signalling (Bachmann et al. , 2011), we analysed the linear chains in a number of models (Merkle et al. , 2016; Sobotta et al. , 2017; Swameye et al. , 2003) included in the benchmark collection (Hass et al. , 2019), which all contain at least one linear chain…”
MethodSelf-citationSharma, S., Gowda, P., Lathoria, K., Mitra, M. K., & Sen, E. (2023) · Integrative Biology · doi:10.1093/intbio/zyad008 · Cited by 2 · see citing works
Zeilfelder, A., Vanlier, J., Mölders, C., Kastl, P., Helm, B., de Lara, S. B., Möcklinghoff, T., Leonidou, N., Holstein, E., Vlasov, A., et al. (2025) · Cell Systems · doi:10.1016/j.cels.2025.101431 · Cited by 1 · see citing works
Self-citationGeorgiev, V. P., Anderka, I., Bucher, D., Preiss, L. C., Zhang, J. D., Umehara, K., & Parrott, N. J. (2025) · Drug Metabolism and Pharmacokinetics · doi:10.1016/j.dmpk.2025.101510 · Cited by 1 · see citing works
Soluble epoxide hydrolase in the liver orchestrates abdominal aortic aneurysm formation in mice
Kim, D. S., Horimatsu, T., Ogbi, M., Goo, B. M. S. S., Shi, H., Veerapaneni, P., Chouhaita, R., Cyriac, N., Moses, M., Prasad, R., et al. (2026) · Communications Biology · doi:10.1038/s42003-026-09765-x · Cited by 1 · see citing works
1100 synthetic benchmark problems for dynamic modeling of cellular processes
Neubrand, N., Rachel, T., Litwin, T., Timmer, J., Kreutz, C., & Hess, M. (2026) · Bioinformatics Advances · doi:10.1093/bioadv/vbag307 · Cited by 1 · see citing works
Self-citationKim, D. S., Horimatsu, T., Ogbi, M., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.10.548127
“IL-6 expression, 6 reportedly associated with liver inflammation (29), was also markedly increased in the livers of AngII7 infused mice and reduced by TPPU treatment (Figure 3C).”
BackgroundCapaccia, C., Ciancabilla, F., Porcellato, I., Brachelente, C., Zerani, M., Maranesi, M., & Guelfi, G. (2024) · Current Issues in Molecular Biology · doi:10.3390/cimb46080542
Huynh, N. C.-N., Ling, R., Komagamine, M., Tianshu, S., Tsukasaki, M., Matsuda, K., Okamoto, K., Asano, T., Muro, R., Pluemsakunthai, W., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26755144
Lautz, A. J., Kapcar, C. S., Zhang, S., Dunwoodie, L., Harmon, K., Mayhew, C. N., Atreya, M. R., Zingarelli, B., & Genomics of Pediatric Septic Shock Investigators (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.21.695853
Chang, H., Lo, S.-W., Lu, H.-Y., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-44286-x
“IL-6 induces hepatic synthesis of acute-phase reactants such as C-reactive protein (CRP) and fibrinogen via Janus kinase (JAK)/ signal transducer and activator of transcription 3 (STAT3) signaling 16,17 .”
Zhang, L., Wu, S., Xie, F., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-52669-3
“Sustained IL-6 exposure over several hours or days may involve additional, distinct layers of regulation 52–54 (e.g. secondary transcriptional feedback, epigenetic modifications, or changes in protein stability) that were not assessed in the current study.”
Brearley, C., Francis, S., Reader, J., et al. (2026) · British Journal of Clinical Pharmacology · doi:10.1002/bcp.70642
“23,24 Interferon (IFN)- gamma-induced protein 10 kDa (IP-10) is a pro-inflammatory chemokine and biomarker of immune activation, particularly in IFN-driven diseases, including autoimmune disorders.”
- Authors
- Sobotta, S., Raue, A., Huang, X., Vanlier, J., Jünger, A., Bohl, S., Albrecht, U., Hahnel, M. J., Wolf, S., Mueller, N. S., D'Alessandro, L. A., Mueller-Bohl, S., Boehm, M. E., Lucarelli, P., Bonefas, S., Damm, G., Seehofer, D., Lehmann, W. D., Rose-John, S., van der Hoeven, F., Gretz, N., Theis, F. J., Ehlting, C., Bode, J. G., Timmer, J., Schilling, M., & Klingmüller, U.
- Affiliations
- German Cancer Research Center (DE)
- Merrimack Pharmaceuticals (United States) (US)
- University of Freiburg (DE)
- Düsseldorf University Hospital (DE)
- Helmholtz Munich (DE)
- Leipzig University (DE)
- Heidelberg University (DE)
- Corresponding author
- Timmer, Jens
- Schilling, Marcel
- Klingmüller, Ursula
- ORCID
- Venue
- Frontiers in Physiology
- Publisher
- Frontiers Media SA
- Published
- 2017-10-09
- Volume
- 8
- Pages
- 775-775
- ISSN
- 1664-042X (ISSN-L)
- PMC
- PMC5640784
- OpenAlex
- W2762851762
- Cited by
- 28
- References
- 127
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 3 · 2023: 3 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 6
- FWCI
- 0.86
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Physiology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Open Repository and Bibliography (University of Luxembourg) (submittedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (submittedVersion, cc-by)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- OPUS (Augsburg University) (submittedVersion, cc-by)
- Funders
- Bundesministerium für Bildung und Forschung (0315745, 0315766, 031L0042, 031L0048, 031L0074A, 031L0074B, 031A604A, 031A604B, 031A604C, 0316170B)
- Deutsche Forschungsgemeinschaft (TRR179)
- Topics
- Health Sciences › Medicine › Oncology › Cytokine Signaling Pathways and Interactions
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Health Sciences › Medicine › Hepatology › Liver physiology and pathology
- Keywords
- IL-6 signaling, JAK1/STAT3 signaling, ruxolitinib, JAK inhibitors, hepatocytes, acute phase proteins, SOCS3, parameter identifiability, profile likelihood, dose optimization, repeated dosing, inflammation, systems biology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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