The DOI matches its Crossref record; 194 of the 194 references it cites were found in a registry or an index; 8 of the 147 sources its claims cite were checked for support.
COVID-19 and the human innate immune system
Open accessAbstract
The introduction of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into the human population represents a tremendous medical and economic crisis. Innate immunity-as the first line of defense of our immune system-plays a central role in combating this novel virus. Here, we provide a conceptual framework for the interaction of the human innate immune system with SARS-CoV-2 to link the clinical observations with experimental findings that have been made during the first year of the pandemic. We review evidence that variability in innate immune system components among humans is a main contributor to the heterogeneous disease courses observed for coronavirus disease 2019 (COVID-19), the disease spectrum induced by SARS-CoV-2. A better understanding of the pathophysiological mechanisms observed for cells and soluble mediators involved in innate immunity is a prerequisite for the development of diagnostic markers and therapeutic strategies targeting COVID-19. However, this will also require additional studies addressing causality of events, which so far are lagging behind.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This review proposes a conceptual framework for how the human innate immune system interacts with SARS-CoV-2 and argues that host innate variability, especially in type I interferon responses, is a major driver of heterogeneous COVID-19 courses. It synthesizes first-year pandemic evidence and calls for causal, longitudinal studies to guide stratification and therapy.
Key findings
- Disease heterogeneity is attributed mainly to host and environmental factors rather than viral genetics; 10%–20% of symptomatic patients develop severe or critical disease, while mutations such as D614G increase infectivity but do not explain the broad clinical spectrum.
- Type I interferon immunity is central: SARS-CoV-2 antagonizes it at multiple points, and severe COVID-19 has been linked to loss-of-function variants in TLR3, IRF7, and IRF9 pathways in an estimated 3.5% of severe cases, autoantibodies against type I interferons in more than 10% of severe cases, and X-chromosomal TLR7 variants in young ICU patients.
- Severe disease involves an early transient interferon/ISG wave followed by hyperinflammation with elevated IL-6, TNF, and other mediators, alongside immunosuppressive myeloid changes such as HLA-DRlo monocytes, PD-L1-expressing neutrophils, emergency myelopoiesis, and neutrophil extracellular trap formation; the “cytokine storm” label is debated, with viral sepsis proposed as an alternative description.
- Age and inflammaging are major risk factors, and a chromosome 3 risk locus inherited from Neanderthals is carried by about 50% of people in South Asia and about 16% in Europe; trained immunity via BCG is under investigation, with 21 BCG trials and 3 VPM1002 trials registered as of early 2021.
Methods
- Narrative/conceptual review rather than primary research; it integrates clinical observations, genetic association and sequencing studies, single-cell omics, proteomics, and animal-model findings from the first year of the pandemic.
- The authors organize the discussion around a five-phase disease trajectory and a systems-medicine framework linking clinical investigation, computational modeling, and experimental validation.
- No systematic search strategy, meta-analysis, or new patient cohort is described.
Limitations
- The authors state that causality of events is still lagging behind and that larger longitudinal and mechanistic studies are urgently needed; many cited findings are preliminary or correlative.
- Evident from the text: the review covers mainly early-pandemic literature, does not perform a formal quality assessment, and notes that therapeutic conclusions await results from ongoing randomized trials.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Verification
Claims the paper makes
92 Not checked yet · 19 Own interpretation · 3 Partly supported · 3 No basis given · 1 Mixed support · 1 Not supported · accuracy not yet measured
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Evidence from model systems indicate that type I and III IFN responses are most important”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > The next phase—from “cytokine storm” to immunosuppression
What the sources say
- Partly supportedcites [7] sourceExperimental — accuracy not yet measured
The Discussion reports impaired type I interferon responses in patients with COVID-19, and the single-cell transcriptional response section describes an early IFN-α signal associated with antiviral gene expression. These passages do not address type III interferons or establish from model systems that types I and III are the most important innate antiviral responses. (LLM, conf=0.82)
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Age is the major clinical risk factor for severe, critical, and fatal COVID-19”
§ COVID-19 and the human innate immune system > Factors that influence disease severity > Age, inflammaging, and COVID-19
What the sources say
- Partly supportedcites Richardson et al., 2020 sourceExperimental — accuracy not yet measured
In “Outcomes for Patients Who Were Discharged or Died” (page not indicated), mortality was higher among hospitalized patients older than 65 than among those aged 18–65. But “Outcomes by Age and Risk Factors” reports that ICU treatment and mechanical ventilation were more frequent in the younger group. This case series does not establish age as the major clinical risk factor for severe, critical, and fatal COVID-19 overall. (LLM, conf=0.88)
- Partly supportedcites Williamson et al., 2020 sourceExperimental — accuracy not yet measured
The paper's Abstract calls age a well-established risk factor for severe COVID-19 outcomes. Its results (Nature, vol. 584, p. 431) show a strong association with death: adults aged 80 or over had more than 20 times the adjusted risk of those aged 50–59. The study does not separately establish age as the major risk factor for critical COVID-19, so the full claim goes beyond its findings. (LLM, conf=0.85)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
In the paper
“Although many mutations decreased infectivity, the virus variant D614G in the spike protein of SARS-CoV-2 increased infectivity (Li et al., 2020).”
§ COVID-19 and the human innate immune system > Introduction
What the sources say
- Not checked yetcites Li et al., 2020
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“This is in stark contrast to the 2009 influenza pandemic, which had much lower incidence rates in the elderly population, indicating partial protection on population level due to earlier exposure to similar influenza viruses (Xu et al., 2010).”
§ COVID-19 and the human innate immune system > Introduction
What the sources say
- Not checked yetcites Xu et al., 2010
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“It is possible that cross-protection via adaptive immune responses against endemic coronaviruses might be in part responsible for mild disease courses in younger individuals (Lipsitch et al., 2020).”
§ COVID-19 and the human innate immune system > Introduction
What the sources say
- Not checked yetcites Lipsitch et al., 2020 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Similar to SARS-CoV (Matsuyama et al., 2010), SARS-CoV-2 employs the cellular serine protease TMPRSS2 for S protein priming.”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Matsuyama et al., 2010 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Here, it was even possible to predict the impact of clinical risk factors such as sex, age, and smoking history among others on gene expression level of genes associated with viral entry.”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Muus et al., 2021
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“In the lung, ACE2 and TMPRSS2 expression has been mainly identified in alveolar epithelial type II cells (Qi et al., 2020; Zou et al., 2020).”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Qi et al., 2020
- Not checked yetcites Zou et al., 2020 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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In the paper
“co-infection of monocytes in the BALF with human metapneumovirus was identified in one of the severe COVID-19 patients (Bost et al., 2020)”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Bost et al., 2020 source
plainSingle case- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“The strongest enrichment of viral RNA was observed in ciliated and epithelial progenitors.”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Bost et al., 2020 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- It may state two separate claims as one. 53
- Probably not a substantial claim. 9
- The quote only partly states this claim. 4
Some cited sources support this claim and some don’t — read each source’s verdict below.
In the paper
“Functional testing further supported the counteracting activity of ORF3b, ORF6, NSP1, or NSP13 on type I IFN activation, of which particularly ORF6 suppressed STAT1 and STAT2 phosphorylation and STAT1 nuclear translocation, (Konno et al., 2020; Lei et al., 2020; Xia et al., 2020).”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
- Partly supportedcites Konno et al., 2020 sourceExperimental — accuracy not yet measured
The Results section (page unavailable) reports functional tests showing that SARS-CoV-2 ORF3b suppresses IFN-I activation. It mentions ORF6 inhibition of IFN-I production as a finding of previous studies, but does not report functional tests of ORF6, NSP1, or NSP13, or the claimed effects of ORF6 on STAT1/STAT2 phosphorylation and STAT1 nuclear translocation. Its nuclear-translocation result concerns IRF3 in the presence of ORF3b. (LLM, conf=0.88)
- Disputedcites Lei et al., 2020 sourceExperimental — accuracy not yet measured
In Results, “ORF6 inhibits STAT1 nuclear translocation via its C-terminus” (Fig. 6), the paper reports that ORF6 blocks STAT1 nuclear translocation but explicitly says IFN-induced STAT1 phosphorylation remains intact—the opposite of the claim. The Results also show that NSP1, NSP13, and ORF6 inhibit IFN-β-induced reporter activity, but the cited passages do not establish ORF6 suppression of STAT2 phosphorylation. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
- Partly supportedcites Xia et al., 2020 sourceExperimental — accuracy not yet measured
The Results section on IFN-I signaling reports antagonistic activity by nsp1, nsp13 and ORF6, and shows that ORF6 blocks STAT1 nuclear translocation. It tests ORF3a, not ORF3b. It also finds that ORF6 only marginally suppresses STAT1 and STAT2 phosphorylation, contrary to the claim that ORF6 particularly suppresses both. (LLM, conf=0.90)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
At least one cited source doesn’t support this claim or points to a different paper, and none confirmed it — see the verdicts below.
In the paper
“Indeed, dexamethasone was shown to be beneficial, particularly in patients with severe disease courses where it reduced 28-day mortality in randomized clinical trials (RECOVERY Collaborative Group et al., 2021; Tomazini et al., 2020; WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group et al., 2020).”
§ COVID-19 and the human innate immune system > Therapeutic options targeting immune deviation
What the sources say
- Not checked yetcites RECOVERY Collaborative Group et al., 2021
- Disputedcites Tomazini et al., 2020 sourceExperimental — accuracy not yet measured
The Secondary Outcomes and Adverse Events section reports no significant difference in 28-day all-cause mortality between dexamethasone and standard care (56.3% vs 61.5%; P = .85). The Discussion explicitly contrasts this result with the RECOVERY trial. CoDEX found more ventilator-free days, but did not show that dexamethasone reduced 28-day mortality in its patients with moderate or severe COVID-19 ARDS. (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
- Not checked yetcites WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group et al., 2020
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“CD147 is widely expressed and receptor expression and viral load does not seem to correlate (Bost et al., 2020) arguing against CD147 as a major entry receptor for SARS-CoV-2.”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Partly supportedcites Bost et al., 2020 sourceExperimental — accuracy not yet measured
The Results section on SARS-CoV-2 co-infection (page not available) says CD147 is expressed by all cell types, including immune cells, supporting the claim that it is widely expressed. It does not report a correlation analysis between CD147 expression and viral load. The argument against CD147 as a major entry receptor is the citing authors’ inference, not a conclusion stated in this passage. (LLM, conf=0.87)
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Innate immunity—as the first line of defense of our immune system—plays a central role in combating this novel virus.”
§ COVID-19 and the human innate immune system > Abstract
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Disease courses range from mainly asymptomatic and mild courses to more severe and critical courses in 10%–20% of symptomatic patients who are at considerable risk of fatality with many different organ systems involved in differing combinations and with variable symptoms (Gupta et al., 2020)”
§ COVID-19 and the human innate immune system > Introduction
What the sources say
- Not checked yetcites Gupta et al., 2020 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“TMPRSS2 is more widely expressed than ACE2, and cells with simultaneous expression were identified in the respiratory tree, the cornea, esophagus, ileum, colon, gallbladder, and common bile duct (Sungnak et al., 2020), yet there was no evidence for simultaneous expression in immune cells.”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Sungnak et al., 2020 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
In the paper
“Disease severity and mortality rates are significantly higher in elderly populations pointing toward lack of widespread long-lasting pre-existing adaptive immunity by T or B cells against SARS-CoV-2 (Morens and Fauci, 2020).”
§ COVID-19 and the human innate immune system > Introduction
What the sources say
- Not checked yetcites Morens and Fauci, 2020
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In vitro monocyte-derived macrophages and dendritic cells (DCs) are susceptible to SARS-CoV-2 infection, which is abortive, because these cells do not support virus replication (Yang et al., 2020a).”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Yang et al., 2020a
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The virus itself, the environment, and the host can contribute to such disease heterogeneity (Morens and Fauci, 2020).”
§ COVID-19 and the human innate immune system > Introduction
What the sources say
- Not checked yetcites Morens and Fauci, 2020
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Numerous mutations identified so far by thousands of viral sequences obtained during the first 9 months of the pandemic (Candido et al., 2020; Oude Munnink et al., 2020) suggest that viral genetic diversity, genetic evolution, variable infectivity, or co-pathogenesis might contribute to infectivity and fatality, but not so much to disease heterogeneity observed for COVID-19.”
§ COVID-19 and the human innate immune system > Introduction
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“An interesting observation of this study was the high co-expression of genes involved in early steps of antiviral immune responses in these epithelial cells, which indicated the potential for these specialized nasal cells to play an important role in the initial viral infection, spread, but potentially also, clearance.”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Sungnak et al., 2020 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Although there is evidence that environmental factors such as seasonality, other natural disasters, environmental degradation, quality of the public health infrastructure, or governance by state authorities have an impact on overall disease burden for society (Han et al., 2020)”
§ COVID-19 and the human innate immune system > Introduction
What the sources say
- Not checked yetcites Han et al., 2020 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“DeltaACE2 neither binds the SARS-CoV-2 spike protein nor serves as a carboxypeptidase.”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Onabajo et al., 2020 source
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Furthermore, there has been no evidence for the role of innate immune cells in SARS-CoV-2 gaining access to the retina (de Figueiredo et al., 2020) or the brain (Song et al., 2021), albeit the virus has been found in both organs.”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“the host itself seems to be the major factor explaining disease severity, infection rates (Merad and Martin, 2020; Vabret et al., 2020), and long-term medical consequences (Marshall, 2020).”
§ COVID-19 and the human innate immune system > Introduction
What the sources say
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Similarly, the human placenta is highly susceptible to SARS-CoV-2 infection, but only non-immune cells including syncytiotrophoblasts in the first trimester and extravillous trophoblasts in the second trimester express ACE2 and TMPRSS2 and have been identified as cellular targets for the virus (Ashary et al., 2020).”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Ashary et al., 2020 source
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“An interesting finding is the expression of ACE2 and TMPRSS2 on platelets, considering that patients present with signs of platelet hyperactivation, particularly in severe COVID-19 (Zhang et al., 2020b).”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Zhang et al., 2020b
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“The dynamics of type I IFNs in severe patients is in line with findings in a murine model of SARS-CoV-2 infection illustrating that type I IFNs do not control SARS-CoV-2 replication in vivo but are significant drivers of pathologic responses (Israelow et al., 2020).”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
- Not checked yetcites Israelow et al., 2020 source
plaindirect- Asserted: passes — The authors put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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It may state two separate claims as one.
In the paper
“A longitudinal analysis confirmed an early peak with subsequent decline of IFNα and IFNλ in mild-to-moderate COVID-19, whereas levels further increased particularly during the second week in severe patients (Lucas et al., 2020).”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
- Not checked yetcites Lucas et al., 2020 source
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In vitro exposure to SARS-CoV-2 or its Spike protein potentiated platelet aggregation, release of dense granules, upregulation of activation markers (PAC-1, CD62P), platelet spreading, and clot retraction.”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Zhang et al., 2020b
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Interestingly, other coronavirus family member receptors (ANPEP and DPP4) and several proteases (CTSL, CTSB, and Furin) are uniformly expressed within the placenta throughout the first and second trimester, and genes necessary for viral budding and replication were also identified, strongly suggesting that the placenta is a vulnerable target for productive infection (Ashary et al., 2020).”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
- Not checked yetcites Ashary et al., 2020 source
boostedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“A common pattern of cell entry via endocytosis following receptor binding was established for coronaviruses, which is followed by viral RNA release into the cytoplasm, production of viral proteins, and formation of viral replication/transcription complexes on double-membrane vesicles (Snijder et al., 2020).”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
- Not checked yetcites Snijder et al., 2020 source
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“SARS-CoV-2-derived non-structural protein 16 (NSP16) suppresses global mRNA splicing and diminishes recognition of viral RNA by intracellular helicase receptors, NSP1 leads to global inhibition of mRNA translation by binding to the 18S ribosomal RNA in the mRNA entry channel, and NSP8 and NSP9 interfere with protein trafficking to the cell membrane; all three mechanisms independently leading to”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The detection of viral RNA in myeloid cells derived from lung or BALF of severe COVID-19 patients still allows several explanations, including phagocytosis of cellular material derived from infected cells, which requires further assessment.”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“SARS-CoV-2 enters type II pneumocytes via ACE2 in the respiratory system leading to rapid virus replication as well as concomitantly to a proinflammatory state with elevated levels of cytokines such as IL-1, IL-6, CXCL8, and TNF”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > The next phase—from “cytokine storm” to immunosuppression
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Interaction mapping further suggested that NSP13 interacts with TBK1, NSP15 with NRDP1 (an E3 ubiquitin ligase controlling the balance between JAK2-associated cytokine receptor degradation and ectodomain shedding), ORF9b with TOMM70 (an important receptor of the outer mitochondrial membrane), and ORF6 with either KPNA2 or the IFN-induced NUP98-RAE1 nuclear export complex, which are both involved”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Similarly, the pattern recognition receptors (PRRs) involved in recognizing SARS-CoV-2 are not yet directly determined. Based on findings from other coronaviruses, the most likely candidates are Toll-like receptors 3 (TLR3) and TLR7 in the endosome (Mazaleuskaya et al., 2012) or the cytosolic sensors retinoic acid-inducible gene 1 (RIG-I) and melanoma differentiation-associated gene 5 (MDA5) (Sa R”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“In in vitro infection models utilizing cell lines, SARS-CoV-2 induced only low type I and II IFNs, consequently inducing only moderate levels of ISGs and a unique proinflammatory cytokine signature including IL1B, IL6, and TNF, as well as many chemokines (CCL20, CXCL1, CXCL2, CXCL3, CXCL5, CXCL6, and CXCL16) (Blanco-Melo et al., 2020).”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
- Not checked yetcites Blanco-Melo et al., 2020 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Accumulation of NF-κB-dependent proinflammatory mediators can provoke an accumulation of pathogenic inflammatory neutrophils and macrophages in the lung”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > The next phase—from “cytokine storm” to immunosuppression
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The quote only partly states this claim.
In the paper
“RIG-I and MDA5 trigger the downstream adaptor mitochondrial antiviral signaling protein (MAVS) on mitochondria followed by activation of tumor necrosis factor receptor-associated factor 3 (TRAF3), TRAF family member-associated nuclear factor κB (NF-κB) activator binding kinase 1 (TBK1), together with inhibitor of NF-κB kinase-ε (IKK), which leads to phosphorylation of the “master regulators” IRF3”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
- Not checked yetcites Loo and Gale, 2011
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“These observations were further extended by illustrating a lack of expression of genes encoding type I IFNs in peripheral blood mononuclear cells (PBMCs) of COVID-19 patients and an early but transient wave of ISG expression in blood-derived immune cells, which correlated with an early burst of IFNα, likely of lung origin (Arunachalam et al., 2020).”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
- Not checked yetcites Arunachalam et al., 2020 source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Similar signaling cascades are known downstream of TLR3 and TLR7 (Figure 2C).”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
- Not checked yetcites Loo and Gale, 2011
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“An early study in patients reported that type I IFNs were either not detected (particularly IFNβ) irrespective of disease severity or at lower levels (IFNα) in plasma mainly derived from patients with severe disease (Hadjadj et al., 2020).”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
- Not checked yetcites Hadjadj et al., 2020 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Furthermore, the virus facilitates the release of coagulation factors, the secretion of inflammatory cytokines, and the formation of leukocyte-platelet aggregates, which might be important mechanisms leading to thromboembolic complications observed in severe COVID-19 (Ackermann et al., 2020; Gupta et al., 2020; Zhang et al., 2020b).”
§ COVID-19 and the human innate immune system > The breach—point of entry for SARS-CoV-2
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Importantly, the type I IFN response can be rather heterogeneous. Depending on the state of the reacting cell (e.g., with respect to its metabolic or general activation state) (Talemi and Höfer, 2018), it is at least in part stochastic (Rand et al., 2012; Wimmers et al., 2018), it varies among different cell types and microenvironments, and it shows interindividual heterogeneity concerning the”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“As an immune evasion strategy, SARS-CoV-2 uses a multipronged strategy to antagonize the IFN system with the clinical consequence of an insufficient type I IFN response having been recognized in early COVID-19 studies (Acharya et al., 2020; Blanco-Melo et al., 2020; Sa Ribero et al., 2020).”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Alarming the immune system—recognition, interferon response, and immune evasion
What the sources say
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Type I IFN therapy in patients with genetic deficits in the IFN system (Zhang et al., 2020a), but not in those with autoimmune phenocopies of these deficits (Bastard et al., 2020), might be beneficial if provided sufficiently early (Hadjadj et al., 2020; Wang et al., 2020b).”
§ COVID-19 and the human innate immune system > Therapeutic options targeting immune deviation
What the sources say
- Not matchedcites Zhang et al., 2020a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked yetcites Bastard et al., 2020 source
- Not matchedcites Hadjadj et al., 2020; Wang et al., 2020b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Not matched
In the paper
“a scenario emerges with rather differently programmed innate immune cells in mild versus severe disease courses”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Changes in the innate immune cell compartment
What the sources say
- Not checked yetcites Sette and Crotty, 2021 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one. The quote only partly states this claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“suggesting that immune parameters might be used for disease classification or outcome prediction.”
§ COVID-19 and the human innate immune system > Factors that influence disease severity > Immune parameters as biomarkers
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“point toward complement activation as an early innate immune activation mechanism”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > The next phase—from “cytokine storm” to immunosuppression
What the sources say
- Not checked yetcites Shen et al., 2020 source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“better summarized as viral sepsis, with the upregulation of proinflammatory mediators being only one part of a derailed innate immune response”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > The next phase—from “cytokine storm” to immunosuppression
What the sources say
- Not checked yetcites Riva et al., 2020 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“four cytokines (IL-6, CXCL8, TNF, and IL-1β) were assessed in serum from 1,484 COVID-19 patients (Del Valle et al., 2020) of which TNF, IL-1β, and IL-6 were elevated in COVID-19 patients, and TNF and IL-6 turned out to be independent predictors of disease severity and fatal outcome.”
§ COVID-19 and the human innate immune system > Factors that influence disease severity > Immune parameters as biomarkers
What the sources say
- Not checked yetcites Del Valle et al., 2020 source
plaincorrelationaln = 1,484- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“suggested that host genetics might contribute to disease susceptibility and severity”
§ COVID-19 and the human innate immune system > Factors that influence disease severity > Genetic factors impacting the immune response to SARS-CoV-2
What the sources say
- Not checked yetcites Ovsyannikova et al., 2020 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“A specialized form of innate immune adaptation is the induction of immune memory (also termed trained immunity)”
§ COVID-19 and the human innate immune system > Factors that influence disease severity > Adaptation of innate immune cells: A role for trained immunity?
What the sources say
- Not checked yetcites Netea et al., 2020a
- Not checked yetcites Giamarellos-Bourboulis et al., 2020b
- Not checked yetcites Moorlag et al., 2020 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Inflammaging is considered a chronic, sterile inflammation characterized by elevated levels of inflammatory mediators in the circulation including IL-6, TNF, CXCL8, CCL2, CRP, and PLA2GD”
§ COVID-19 and the human innate immune system > Factors that influence disease severity > Age, inflammaging, and COVID-19
What the sources say
- Not checked yetcites Franceschi et al., 2017 source
- Not checked yetcites Frasca and Blomberg, 2016
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“Mild COVID-19 patients were marked by circulating HLA-DR hi CD11c hi inflammatory monocytes with an interferon-stimulated gene signature”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Changes in the innate immune cell compartment
What the sources say
- Not checked yetcites Schulte-Schrepping et al., 2020 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one. The quote only partly states this claim.
None of the sources cited for this claim have been checked yet.
In the paper
“suggesting the lung as a source for the elevated plasma levels of type I IFNs early on infection”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Changes in the innate immune cell compartment
What the sources say
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one. The quote only partly states this claim.
None of the sources cited for this claim have been checked yet.
In the paper
“An increase in circulating neutrophils versus a decrease in lymphocytes has been appreciated as a hallmark of severe COVID-19”
§ COVID-19 and the human innate immune system > Cytokine alterations and innate immune cell responses following infection > Changes in the innate immune cell compartment
What the sources say
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“These include chronic fatigue syndrome (Salisbury, 2020) and a spectrum of psychiatric disorders ranging from cognitive decline, depression, to even neurodegeneration (Taquet et al., 2021).”
§ COVID-19 and the human innate immune system > Summary and outlook
What the sources say
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Along these lines, therapies targeting the kallikrein-kinin system with icatibant (van de Veerdonk et al., 2020), or the coagulation system with antibodies against C5a and C3a (Mastellos et al., 2020), have been introduced as additional options to ameliorate clinical symptoms and reduce mortality rates.”
§ COVID-19 and the human innate immune system > Therapeutic options targeting immune deviation
What the sources say
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“suppressed the production of proinflammatory cytokines in lung macrophages, and the recruitment of neutrophils to the lung (Hoang et al., 2021).”
§ COVID-19 and the human innate immune system > Therapeutic options targeting immune deviation
What the sources say
- Not checked yetcites Hoang et al., 2021 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Further, molecular prediction of drug responses may guide the way for precision medicine approaches following patient stratification.”
§ COVID-19 and the human innate immune system > Therapeutic options targeting immune deviation
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“different combinations of soluble factors were assessed in different studies in context of COVID-19 with only a few choosing comprehensive approaches (Messner et al., 2020; Su et al., 2020).”
§ COVID-19 and the human innate immune system > Factors that influence disease severity > Immune parameters as biomarkers
What the sources say
- Not checked yetcites Messner et al., 2020 source
- Not checked yetcites Su et al., 2020
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“More evidence accumulates suggesting that a yet unknown fraction of patients will suffer from what is described as Long COVID-19, a chronic illness with very heterogeneous symptoms (Marshall, 2020).”
§ COVID-19 and the human innate immune system > Summary and outlook
What the sources say
- Not checked yetcites Marshall, 2020 source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Based on results from phase-III vaccine trials utilizing mRNA vaccines (Anderson et al., 2020; Polack et al., 2020), two vaccines have been approved in the United States, United Kingdom, Israel, and the European Union, and several million individuals have been vaccinated since late 2020.”
§ COVID-19 and the human innate immune system > Therapeutic options targeting immune deviation
What the sources say
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For example, the vicious cycle of viral sepsis developing in an affected individual already suffering from chronic obstructive pulmonary disease (COPD) might differ from the disease course observed in an obese person and therefore might require other therapies.”
§ COVID-19 and the human innate immune system > Summary and outlook
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Parameters measurable at earlier phases of the disease would be useful to predict the outcome of viral sepsis.”
§ COVID-19 and the human innate immune system > Summary and outlook
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A better understanding of the molecular immune mechanisms, particularly at the transition from a local to a systemic response phase and during viral sepsis, is a prerequisite to introduce novel therapies.”
§ COVID-19 and the human innate immune system > Summary and outlook
plainconditional- Asserted: passes — The authors put it forward as true.
- Checkable: fails — It may be too vague to check against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may be too vague to check against evidence.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“This is similarly true for a potential role of innate immune cells such as NK cells, innate lymphoid cells, mast cells, basophils, or eosinophils, which have not yet been studied in sufficient detail in COVID-19.”
§ COVID-19 and the human innate immune system > Summary and outlook
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Organ involvement, magnitude of clinical symptoms, and length of this phase is highly variable”
§ COVID-19 and the human innate immune system > Summary and outlook
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The authors state this as an assumption.
The majority of humankind does not have an extended cross-reaction to other viruses of the coronavirus family.
“assuming that the majority of humankind does not have an extended cross-reaction to other viruses of the coronavirus family (Braun et al., 2020; Grifoni et al., 2020; Mateus et al., 2020)”
The authors state this as an assumption.
Most steps of the interaction between the virus and the host follow a normal distribution of attributes or parameters required to describe the outcome of the interaction.
“Bearing in mind that most of the steps of the interaction between the virus and the host will follow a normal distribution of attributes or parameters required to describe the outcome of the interaction”
The paper relies on this without support.
The virus counteracts the type I IFN system.
“Because SARS-CoV-2 antagonizes the type I IFN system”
The paper relies on this without support.
COVID-19 is clinically heterogeneous.
“Because COVID-19 presents with such heterogeneity”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Like other pathogenic respiratory RNA viruses (including other coronaviruses, respiratory syncytial virus and enteroviruses)55, SARS-CoV-2 can evade innate immune responses via multiple mechanisms55,56, indicating that innate immunity is likely crucial for host protection54,57.”
From Immunological mechanisms of vaccine-induced protection against COVID-19 in humans (2021) · cites this paper as [56]
Citations
Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine
Polack, F. P., Thomas, S. J., Kitchin, N., Absalon, J., Gurtman, A., Lockhart, S., Perez, J. L., Pérez Marc, G., Moreira, E. D., Zerbini, C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2034577 · Cited by 14,592
A new coronavirus associated with human respiratory disease in China
Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688 · cited 4×
“, 2020), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (Kim et al., 2020; Wu et al., 2020; Yao et al., 2020; Zhang and Holmes, 2020) is a rather heterogeneous disease.”
BackgroundInfluentialDexamethasone in Hospitalized Patients with Covid-19
The RECOVERY Collaborative Group (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2021436 · Cited by 11,477
Effect of Dexamethasone in Hospitalized Patients with COVID-19 – Preliminary Report
Horby, P., Lim, W. S., Emberson, J., Mafham, M., Bell, J., Linsell, L., Staplin, N., Brightling, C., Ustianowski, A., Elmahi, E., et al. (2020) · doi:10.1101/2020.06.22.20137273 · Cited by 11,475 · cited 3×
“…shown to be beneficial, particularly in patients with severe disease courses where it reduced 28-day mortality in randomized clinical trials (RECOVERY Collaborative Group et al., 2021; Tomazini et al., 2020; WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group et al., 2020).”
BackgroundRichardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA · doi:10.1001/jama.2020.6775 · Cited by 9,254
Gorbalenya, A. E., Baker, S. C., Baric, R. S., de Groot, R. J., Drosten, C., Gulyaeva, A. A., Haagmans, B. L., Lauber, C., Leontovich, A. M., Neuman, B. W., et al. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0695-z · Cited by 8,745 · cited 2×
“…and based on its close relationship with the SARS coronavirus (SARS-CoV) (Coronaviridae Study Group of the International Committee on Taxonomy of Viruses, 2020), it became quickly clear that the surface receptor for SARS-CoV (Li et al., 2003), the angiotensin-converting enzyme 2 (ACE2), was…”
BackgroundFactors associated with COVID-19-related death using OpenSAFELY
Williamson, E. J., Walker, A. J., Bhaskaran, K., Bacon, S., Bates, C., Morton, C. E., Curtis, H. J., Mehrkar, A., Evans, D., Inglesby, P., et al. (2020) · Nature · doi:10.1038/s41586-020-2521-4 · Cited by 6,674
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- de Chaisemartin, 2020, BCG vaccination in infancy does not protect against COVID-19. Evidence from a natural experiment in Sweden, Clin. Infect. Dis.
- Muus, 2021, Integrated analyses of single-cell atlases reveal age, gender, and smoking status associations with cell type-specific expression of mediators of SARS-CoV-2 viral entry and highlights inflammatory programs in putative target cells, Nat Med.
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Items 401–500 of 612
SARS‐CoV‐2 vaccines: A double‐edged sword throughout rapid evolution of COVID‐19
Zolfaghari, M., Ghadiri-Moghaddam, F., Rajput, S., Karimi, A., Vishteh, M. N., Mahmoodpoor, A., Dolati, S., & Yousefi, M. (2022) · Cell Biology International · doi:10.1002/cbin.11903 · Cited by 4
Ford, M., Hari, A., Rodriguez, O. L., Xu, J., Lack, J., Oguz, C., Zhang, Y., Weber, S., Magglioco, M., Barnett, J., et al. (2022) · bioRxiv · doi:10.1101/2022.01.31.478564 · Cited by 4
“Of particular interest is COVID-19, which is primarily modulated by the innate immune system[19].”
BackgroundLi, D., Chen, R.-L., Huang, C., Zhang, G., Li, Z., Xu, X.-J., Wang, B.-H., Li, B., & Chu, X.-M. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1264856 · Cited by 4
“Differences in innate immune system components lead to heterogeneity in the COVID-19 disease spectrum (9).”
BackgroundXu, Q., Yu, D., Fan, X., Cui, H., Dai, Q., Zhong, X.-Y., Zhang, X., Zhao, C., You, L., & Shang, H. (2024) · Chinese Journal of Integrative Medicine · doi:10.1007/s11655-024-3909-z · Cited by 5
“(84,85) Toll-like receptor 3 (TLR3), TLR7 and interferon (IFN) production are key determinants in the pathogenesis of SARS-CoV-2 infection, (86,87) and interferon regulatory factor (IRF) and nuclear factor-κ B (NF-κ B) initiate an antiviral program that mediates the upregulation of pro-in fl…”
Brown, R. E. (2022) · The EuroBiotech Journal · doi:10.2478/ebtj-2022-0008 · Cited by 5
Mahmoodi, M., Henjeroei, F. M., Hassanshahi, G., & Nosratabadi, R. (2024) · Cytokine · doi:10.1016/j.cyto.2023.156497 · Cited by 4
Antibody therapy reverses biological signatures of COVID-19 progression
Maher, M. C., Soriaga, L. B., Gupta, A. K., Chen, Y.-P., di Iulio, J., Ledoux, S., Smithey, M. J., Cathcart, A. L., McKusick, K., Sun, D., et al. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100721 · Cited by 4
“Overexpression of genes in these pathways agrees well with previous work showing strong associations between increased innate immune system activation and disease severity.(13) We confirm this concordance by showing that the high-risk grouping can be approximated using inflammatory response genes (particularly interfe…”
Sсherbak, S. G., Vologzhanin, D. A., Голота, А. С., Kamilova, Т. A., & Макаренко, С. В. (2022) · Journal of clinical practice · doi:10.17816/clinpract106239 · Cited by 5
Jiang, N., Yang, H.-K., Lei, Y., Qin, W., Xiong, H., Chen, K.-B., Mei, K.-R., Li, G., Mu, X., & Chen, R.-B. (2025) · Nature Communications · doi:10.1038/s41467-025-58704-7 · Cited by 4
“In most cases, dsRNAs are non-self molecules generated during virus infections and are best known for their roles in activating innate immune response in host cells 3,4 .”
Camps‐Vilaró, A., Pinsach‐Abuin, M., Degano, I. R., Ramos, R., Martí‐Lluch, R., Elosúa, R., Subirana, I., Solà‐Richarte, C., Puigmulé, M., Pérez, A., et al. (2024) · Journal of Medical Virology · doi:10.1002/jmv.29404 · Cited by 3
Laethem, J. V., Pierreux, J., Wuyts, S. C. M., Geyter, D. D., Allard, S. D., & Dauby, N. (2023) · Acta Clinica Belgica · doi:10.1080/17843286.2023.2167328 · Cited by 4
“COVID-19 patients may develop severe illness and rapid clinical deterioration with the development of ARDS, sepsis, and/or multiple-organ failure [34].”
BackgroundVitamin D deficiency and disease conditions relevant to: Orthopaedic translation
Mudiyanselage, D. E., Ouyang, C., Jin, R. D., Velmurugan, S., Jiang, Y., Sun, J.-S., & Ma, D.-Q. (2026) · Journal of Orthopaedic Translation · doi:10.1016/j.jot.2026.101061 · Cited by 4
“Vitamin D induces antimicrobial peptides like cath-elicidin and defensin and mitigates excessive inflammation by suppressing IL-6 and TNF-α , proinflammatory cytokines [8,187 – 190].”
Braga, M., Shiga, M. A. S., Silva, P., Yamanaka, A. H. U., Souza, V. H., Grava, S., Simao, A. N. C., Neves, J. S. F., de Lima, Q. A., Zacarias, J., et al. (2024) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2024.2367466 · Cited by 4
“Induction of cytokine production in MNPs in COVID-19 can be triggered by direct recognition of pathogen-associated molecular patterns (PAMPs) by specific Toll-like receptors [5].”
Identification of Whole-Blood DNA Methylation Signatures and Rules Associated with COVID-19 Severity
Yuan, F., Ren, J., Liao, H., Guo, W., Chen, L., Feng, K., Huang, T., & Cai, Y. (2023) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2811284 · Cited by 4
“COVID-19 severity is associated with impaired blood cell proportions and epigenetic modification of innate immune responses [7,8].”
BackgroundKhamis, F., Awaidy, S. A., Ba'Omar, M., Osman, W., Chhetri, S., Ambusaid, Z., Fahdi, Z. A., Al-Lawati, J., Sulaimi, K. A., Bulushi, S. A., et al. (2022) · Diseases · doi:10.3390/diseases10040100 · Cited by 4
Classification and functional analysis of disulfidptosis‐associated genes in sepsis
He, S.-M., Zhang, X.-X., Wang, Z., Zhang, Q.-J., Yao, Y., Pang, J., & Chen, Y.-G. (2024) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.70020 · Cited by 4
Salivary ACE2 and TMPRSS2 link to periodontal status and metabolic parameters
Zhao, D., Cheng, T., Koohi‐Moghadam, M., Wu, M., Yu, S. Y., Xun, D., Pelekos, G., Yiu, K. H., & Jin, L. (2022) · Clinical and Translational Discovery · doi:10.1002/ctd2.37 · Cited by 5
Wang, N., Qi, L.-X., & Cheng, G.-Y. (2022) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2022.04.029 · Cited by 4
Stukova, M., Rydlovskaya, A., Proskurina, O., Mochalov, S., Shurygina, A., & Nebolsin, V. (2022) · Microbiology Independent Research journal · doi:10.18527/2500-2236-2022-9-1-56-70 · Cited by 4
Kalk, A., Sturmberg, J. P., Damme, W. V., Brown, G. W., Ridde, V., Zizi, M., & Paul, É. (2023) · F1000Research · doi:10.12688/f1000research.110593.3
“36 When analysing the factors inducing immunity against SARS-CoV-2, five different steps of increasing immunological specificity can be distinguished.”
Uematsu, T., Takano, T., Matsui, H., Kobayashi, N., Ōmura, S., & Hanaki, H. (2023) · The Journal of Antibiotics · doi:10.1038/s41429-023-00623-0 · Cited by 8
“which then induce host innate immune responses [18, 19].”
BackgroundHistone mRNA polyadenylation‐mediated inflammation underlies various virus infections and cancers
Guo, M., Zhu, J., Hu, Z., Wang, Q., Songyang, Z., & Xiong, Y. (2023) · Journal of Medical Virology · doi:10.1002/jmv.28826 · Cited by 4
“COVID‐19, caused by the SARS‐CoV‐2 (RNA virus), is currently a pandemic affecting millions of people around the world.(26) We sought to investigate whether the RDH mRNA levels were also disrupted in COVID‐19 patients and in cells infected by SARS‐CoV‐2 or MERS‐ CoV (Middle East respiratory syndrome coronavirus).”
BackgroundRelationship between Pre-Existing Conditions in Covid-19 Patients and Inflammation
Fritea, L., Sipponen, M., Antonescu, A., Miere, F., Chirla, R., Vesa, C., Cavalu, S., Ganea, M., Horváth, T., Petcheși, C., et al. (2022) · Pharmacophore · doi:10.51847/vsosr2f5dn · Cited by 3
“The immune system is divided into two categories: adaptive immune system (T and B lymphocytes) and innate immune system (granulocytes, monocytes, macrophages, NK cells, dendritic cells, lymphoid cells, and mast cells) [10].”
Backgroundda Fonseca, G. D., Cavalcante, L. T. F., Brustolini, O., Luz, P., Pires, D. C., Jalil, E., Peixoto, E., Grinsztejn, B., Veloso, V., Nazer, S., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241713146 · Cited by 3
“The innate immune system plays an important role as the first line of defense against COVID-19, considering that most of the population did not have an extended cross-reaction to other coronaviruses [13], and there were no specific treatments or vaccines at the beginning of the pandemic.”
BackgroundInfluentialImmunomodulation Effect of Convalescent Plasma Therapy in Severe – Critical COVID-19 Patients
Fitriah, M., Putri, A., Semedi, B., Atika, A., & Tambunan, B. A. (2023) · Open Access Emergency Medicine · doi:10.2147/oaem.s405555 · Cited by 3
“Introduction SARS-CoV-2 infection causes damage to lung tissue, which triggers a local immune response thereby inducing monocytes and macrophages that release inflammatory cytokines and inducing an adaptive immune response.(1) Inflammatory cytokines such as Interleukin-1 (IL-1), Interleukin-6 (IL-6) and tumor necrosis…”
BackgroundImpact of COVID-19 infection on Kawasaki disease and immune status in children
Gao, L.-C., Xu, Z.-F., Hu, J., Zhang, Q., Fu, S., Wang, W., Xie, C.-H., Zhang, Y., Wang, Y.-J., & Gong, F. (2025) · Scientific Reports · doi:10.1038/s41598-025-91042-8 · Cited by 3
“The clinical manifestations of MIS-C overlap with KD, including fever, rash, conjunctivitis, and skin mucosa manifestations 8 , but the incidence rate of conjunctivitis is lower 27 .”
Withaferin A for COVID-19: a Network Pharmacology Approach
Mishra, A. S., Varadarajan, B., Sathish, S., & Roy, S. (2023) · Applied Biochemistry and Biotechnology · doi:10.1007/s12010-023-04525-7 · Cited by 3
Taherpour, N., Etemad, K., Mokhayeri, Y., Fallah, S., Ghorbani, S. S., Izadi, N., Rahimi, E., Shahbazi, F., Seifi, A., Mehri, A., et al. (2024) · Archives of Academic Emergency Medicine · doi:10.22037/aaem.v12i1.2327 · Cited by 3
“A single infection with COVID-19 can activate the immune response, but it cannot guarantee the absence of reinfection or the absence of side effects after recovery, such as readmission (26).”
BackgroundXue, M.-J., Tang, K., Zhang, Y.-S., Xu, X.-Y., Zhang, C., Zuo, J.-J., Wang, F.-L., Zhang, X., Zheng, X.-Y., Zhuang, R., et al. (2024) · bioRxiv · doi:10.1371/journal.ppat.1012717 · Cited by 3
“Similarly, in severe SARS-CoV-2 infected patients, NK cells were functionally impaired and enrich IFN signaling, suggesting IFN might induce NK cells response with poorer disease outcome [35,36].”
Monschein, T., Zrzavy, T., Löbermann, M., Winkelmann, A., Berger, T., Rommer, P. S., Hartung, H., & Zettl, U. K. (2021) · Der Nervenarzt · doi:10.1007/s00115-021-01155-4 · Cited by 3
Redox stress in COVID-19: Implications for hematologic disorders
Yang, M. (2022) · Best Practice & Research Clinical Haematology · doi:10.1016/j.beha.2022.101373 · Cited by 4
“These mechanisms include dysregulated platelet activation [4–6], endothelial dysfunction and vasculitis [7], the activation of immune cells [8], and the activation of clotting factors and subsequent deficiency in fibrinolytic mechanisms [9].”
Raji, H., Arjmand, B., & Rahim, F. (2021) · Advances in Experimental Medicine and Biology · doi:10.1007/5584_2021_665 · Cited by 3
Berardicurti, O., Navarini, L., Vomero, M., Currado, D., Biaggi, A., Marino, A., Bearzi, P., Corberi, E., Rigon, A., Arcarese, L., et al. (2023) · Autoimmunity Reviews · doi:10.1016/j.autrev.2023.103309 · Cited by 3
HMGB1 correlates with severity and death of COVID-19 patients
Vicentino, A. R., Fraga, V., Palazzo, M., Tasmo, N. R. A., Rodrigues, D. A., Barroso, S., Ferreira, S., Borges, A. C. N., Allonso, D., Fantappié, M., et al. (2022) · medRxiv · doi:10.1101/2022.05.26.22275611 · Cited by 3
“This new disease presents a very particular feature related to inflammatory mediators, cell migration and activation (1,2).”
BackgroundInfluentialOvarian Cancer Biomarkers in the COVID-19 Era
Farina, A., Colaiacovo, F., Gianfrate, M., Pucci, B., Angeloni, A., & Anastasi, E. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20115994 · Cited by 4
Liu, C., Staples, R., Gómez-Cerezo, M. N., Ivanovski, S., & Han, P.-P. (2022) · Tissue Engineering. Part C, Methods · doi:10.1089/ten.tec.2022.0160 · Cited by 3
Farzad, F., Yaghoubi, N., Zahedi-Avval, F., khadem-Rezaiyan, M., Azad, F. J., & Youssefi, M. (2023) · Archives of Clinical Infectious Diseases · doi:10.5812/archcid-133714 · Cited by 3
Obesity in Severe COVID-19 Patients Has a Distinct Innate Immune Phenotype
Resende, A. D. S., de Oliveira, Y. L. M., de Franca, M. F. D., Magalhães, L., Corrêa, C. B., Fukutani, K., Lipscomb, M. W., & de Moura, T. D. (2023) · Biomedicines · doi:10.3390/biomedicines11082116 · Cited by 3
“The innate immune system has the crucial role of recognizing the virus and activate inflammatory pathways in order to mount an effective antiviral response and viral clearance [3].”
BackgroundMolecular Insights into the Crosstalk Between Immune Inflammation Nexus and SARS-CoV-2 Virus
Bose, P., Sunita, P., & Pattanayak, S. P. (2021) · Current Microbiology · doi:10.1007/s00284-021-02657-9 · Cited by 4
Jiang, B., Schmitt, M. J., Rand, U., Dramaretska, Y., Großmann, M., Serresi, M., Čičin‐Šain, L., & Gargiulo, G. (2023) · Science Advances · doi:10.1126/sciadv.adf4975 · Cited by 4
“Both share high coexpression of ACE2 and TMPRSS2, the putative main receptor and surface protease, respectively, mediating the entry of the several SARS-CoV-2 strains (6).”
Potential of Interferon Lambda as an Inhibitor of SARS-CoV-2
Oleinik, L. A., Мадонов, П. Г., & Пыхтина, М. Б. (2023) · Molecular Biology · doi:10.1134/s0026893323020152 · Cited by 4
Hu, C., Dai, Y., Zhou, H., Zhang, J., Xie, D., Xu, R., Yang, M., & Zhang, R. (2022) · Hereditas · doi:10.1186/s41065-022-00258-5 · Cited by 5
“COVID-19 has had and will continue to have an unprecedented impact on human health and society [58, 59].”
BackgroundAghcheli, B., Behboudi, E., Tabarraei, A., Nikoo, H. R., Rajabi, A., Moradi, A., Nakstad, B., & Tahamtan, A. (2022) · European Journal of Inflammation · doi:10.1177/1721727x221125436 · Cited by 3
Stem cell-based therapy for COVID-19
Chen, X., Liu, B., Li, C., Wang, Y., Geng, S., Du, X., Weng, J., & Lai, P. (2023) · International Immunopharmacology · doi:10.1016/j.intimp.2023.110890 · Cited by 4
COVID-19 mortality is associated with pre-existing impaired innate immunity in health conditions
Lee, M. E., Chang, Y., Ahmadinejad, N., Johnson-Agbakwu, C., Bailey, C. V., & Liu, L. (2022) · PeerJ · doi:10.7717/peerj.13227 · Cited by 3
Liang, Z., Wang, N., Fan, C., Shang, L., Zhang, Y., Gao, C., & Luo, J. (2023) · Journal of Inflammation Research · doi:10.2147/jir.s434860 · Cited by 4
“8 In COVID-19 patients, the epithelial cells of the nasopharyngeal mucosa present neutrophil and monocyte infiltration, while infected epithelial cells secrete chemokines such as CXCL1, CXCL3, CXCL6, CXCL15, CXCL16, and CXCL17.”
BackgroundCoutant, F., Pin, J., Morfin, F., Ferry, T., Paul, S., Pozzetto, B., Normand, M., & Miossec, P. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222011095 · Cited by 3
“Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is characterized by a large heterogeneity in disease severity, ranging from asymptomatic to fatal cases, and in antiviral immune responses [1].”
BackgroundJeon, K.-Y., Park, S., Broudy, D., & Joo, H. (2023) · Journal of Biomedical Research & Environmental Sciences · doi:10.37871/jbres1663 · Cited by 3
“, tumor necrosis factor, interleukin-1, chemokine, IL-12, IFN-gamma, type1 interferon, IL-10) belongs to the innate immune system, and only cellular immunity, T-cell and B-cell system belong to adaptive immune system [82,83].”
BackgroundRetinoic Acid-Mediated Inhibition of Mouse Coronavirus Replication Is Dependent on IRF3 and CaMKK
Franco, J. H., Harris, R., Ryan, W. G., Taylor, R., McCullumsmith, R. E., Chattopadhyay, S., & Pan, Z.-X. K. (2024) · Viruses · doi:10.3390/v16010140 · Cited by 3
“In our study, we examined mouse fi broblast and macrophage cell lines because they are commonly present in lung tissue and mediate pulmonary in fl ammation [36,38].”
BackgroundMethodLouis, I. V.-S., Gorzalski, A., & Pandori, M. (2021) · Applications of RNA-Seq in Biology and Medicine [Working Title] · doi:10.5772/intechopen.99156 · Cited by 3
Kumawat, N., Rashid, M., Srivastava, A., & Tripathi, J. P. (2023) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2023.114151 · Cited by 3
Gallardo-Toledo, E., Neary, M., Sharp, J., Herriott, J., Kijak, E., Bramwell, C., Curley, P., Arshad, U., Pertinez, H., Rajoli, R. K. R., et al. (2023) · Viruses · doi:10.3390/v15112161 · Cited by 3
Wu, X., Bhatt, V., Liu, J. J., & Hong, L. (2026) · Biochemical and Biophysical Research Communications - BBRC · doi:10.1016/j.bbrc.2026.153273 · Cited by 2
Hui, X., Ding, S., Gao, S., Xu, S., Zhao, T., Tian, X., & Wang, H. (2026) · Veterinary Sciences · doi:10.3390/vetsci13070626 · Cited by 2
“For example, by integrating CRISPR screening results, RNA-seq datasets, and protein–protein interaction networks as model inputs, machine-learning approaches can identify host pathways associated with viral replication, including nuclear transport, RNA processing, and endocytic trafficking [69,70].”
Quantification of Type I Interferon Inhibition by Viral Proteins: Ebola Virus as a Case Study
Locke, M., Lythe, G., López-García, M., Muñoz-Fontela, C., Carroll, M., & Molina-París, C. (2021) · Viruses · doi:10.3390/v13122441 · Cited by 2
“Our approach could serve as an example to characterise and quantify inhibition of type I IFN secretion by other pathogens, such as SARS-COV-2 virus [18,19], dengue and West Nile viruses [20], hantaviruses [21], and bunyaviruses [22].”
MethodTherapeutic potential of Lonicerae japonicae flos against emerging respiratory viral infections
Yang, J., Xia, B., Han, Y., Wang, Y., Bi, Y., & Zhang, Y. (2024) · Pharmacological Research - Modern Chinese Medicine · doi:10.1016/j.prmcm.2024.100362 · Cited by 2
Стукова, М., Рыдловская, А. В., Проскурина, О. В., Мочалов, С. В., Шурыгина, А.-П., & Небольсин, В. Е. (2022) · Microbiology Independent Research journal · doi:10.18527/2500-2236-2022-9-1-56-70.ru · Cited by 2
“Проникая в клетку, вирус запускает реакции врожденного иммунного ответа, сопровождающиеся массивным выбросом провоспалительных цитокинов, направленных на подавление вирусной репликации [7].”
Innate and Adaptive Immunity Imbalance With Severe COVID-19 Pneumonia in Children and Adults
Eshkiki, Z. S., Shahriari, A., Seyedtabib, M., Torabizadeh, M., Assarehzadegan, M., Nashibi, R., Khosravi, M., Neisi, N., Mard, S., & Shayesteh, A. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.736013 · Cited by 2
“There are many underway efforts toward understanding immune cell responses, reactions, and alterations during COVID-19 infection (22).”
BackgroundAged Population and Immunocompromised Patients: Impact on SARS-CoV-2 Variants and Treatment Outcomes
Chavda, V. P., Chhabria, M. T., & Apostolopoulos, V. (2022) · Biologics · doi:10.3390/biologics2030013 · Cited by 5
“The severity and outcome of COVID-19 greatly depend on the patient’s age and immunity [9].”
BackgroundSARS-CoV-2 Immunity: Review of Immune Response to Infection and Vaccination
Ahmad, R. (2021) · Bangladesh Journal of Medical Science · doi:10.3329/bjms.v20i5.55398 · Cited by 2
Etemadi, J., Motavalli, R., Mirghaffari, S. A., Soltani-Zangbar, M., Hajivalili, M., Heris, J. A., Niknafs, B., Zununi, S., Sadeghi, M., Hashemi, S. R. R., et al. (2023) · Journal of clinical laboratory analysis (Print) · doi:10.1002/jcla.24863 · Cited by 2
De‐la‐Rosa‐Martinez, D., Delaye-Martínez, M. A., Bello‐Chavolla, O. Y., Sicilia-Andrade, A., Juárez-Cruz, I. D., Fermín‐Martínez, C. A., Márquez‐Salinas, A., Guerra, E. C., Fernández‐Chirino, L., Martínez-Gutiérrez, M. I., et al. (2021) · medRxiv · doi:10.1101/2021.10.17.21265123 · Cited by 18
“delay I-IFN response, leading to increased viral replication and severe illness [50].”
BackgroundGhazavi, B., Nikoozar, B., Tavalaee, M., Shojaei, M., Hosseinabadi, E. K., Hayati, M. J., Tavakoli, N., Ajami, A., & Nasr-Esfahani, M. H. (2025) · COVID · doi:10.3390/covid5090152 · Cited by 2
The effect of COVID-19 and CEO tenure on environmental and social disclosure scores
Teja, A. (2024) · Journal of Accounting and Investment · doi:10.18196/jai.v25i1.20376 · Cited by 2
“COVID-19 is a highly contagious respiratory disease with a high mortality rate (Malik et al., 2022; da Costa et al., 2020; Hu et al., 2020; Schultze & Aschenbrenner, 2021; Surendra et al., 2021).”
BackgroundGenetic Examination of Hematological Parameters in SARS-CoV-2 Infection and COVID-19Preprint
Sun, Q., Rowland, B. T., Wang, W., Miller-Fleming, T., Cox, N. J., Graff, M., Faucon, A., Shuey, M. M., Blue, E., Auer, P. W., et al. (2022) · medRxiv · doi:10.1101/2022.02.28.22271562 · Cited by 2
Chen, Z., Dufresne, J., Bowden, P., Miao, M., & Marshall, J. G. (2024) · ACS Omega · doi:10.1021/acsomega.4c03955 · Cited by 2
Programmed cell death markers in COVID-19 survivors with and without sepsis
Mallarpu, C., Chelluri, S., Katragadda, T. K., Singarapu, M., Chelluri, L., & Madiraju, C. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1535938 · Cited by 2
An insight into COVID-19 host immunity at single-cell resolution
Ghosh, S., Chatterjee, A., & Maitra, A. (2024) · International Reviews of Immunology · doi:10.1080/08830185.2024.2443420 · Cited by 2
“Simultaneously, various innate immune cell types like neutrophils and classical monocytes were increased which leads to the generation of inflammation and heavy cytokine secretion [18,19].”
Limami, Y., Wahnou, H., Ndayambaje, M., Hba, S., Chgari, O., Ammara, M., Kebbaj, R. E., Naya, A., Oudghiri, M., & Duval, R. E. (2025) · WIREs Mechanisms of Disease · doi:10.1002/wsbm.70005 · Cited by 3
“TNF and IFN-γ, prominently upregulated in severe COVID-19, are known to cooperatively induce PANoptosis (Schultze and Aschenbrenner 2021).”
Pathogenesis of the SARS Coronavirus-2 and Potential Therapeutic Strategies
Akrami, S., Iqbal, S., Saki, M., & Sirakov, I. (2022) · JOURNAL OF COMMUNICABLE DISEASES · doi:10.24321/0019.5138.202232 · Cited by 2
Giacobbe, D., Ball, L., Magnasco, L., Dentone, C., Battaglini, D., Robba, C., Pelosi, P., & Bassetti, M. (2021) · Frontiers in Bioscience · doi:10.52586/4954 · Cited by 2
Pan, T. C., Cao, G.-S., Tang, E.-T., Zhao, Y., Penaloza-MacMaster, P., Fang, Y., & Huang, J. (2022) · bioRxiv · doi:10.1101/2022.01.10.475725 · Cited by 2
“These functions have been shown to be critical in mounting immune responses in both COVID-19 and HIV-1 (Campbell et al., 2014; Coleman and Wu, 2009; Kasuga et al., 2021; Schultze and Aschenbrenner, 2021).”
BackgroundEfficient and scalable construction of clinical variable networks for complex diseases with RAMEN
Xiong, Y., Wang, J., Shang, X., Chen, T., Fraser, D. D., Fonseca, G. J., Rousseau, S., & Ding, J. (2025) · Cell Reports Methods · doi:10.1016/j.crmeth.2025.101022 · Cited by 1
Maggi, E., Landolina, N., Mariotti, F., Munari, E., Tumino, N., Vacca, P., Azzarone, B., & Moretta, L. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1658396 · Cited by 2
Jarras, H., Blais, I., Goyer, B., Bazié, W. W., Rabezanahary, H., Thériault, M., Santerre, K., Langlois, M., Masson, J., Pelletier, J. N., et al. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1513717 · Cited by 3
“It is known that SARS-CoV-2 acts on innate immune cells to delay their response, notably by inhibiting the initial IFN response (5, 37 Furthermore, the peaks of SARS-CoV-2 infections varied seasonally in the province of Quebec.”
Severe alcohol use and COVID-19: implications for physical and mental health
Calleja‐Conde, J., Echeverry‐Alzate, V., Sánchez-Diez, S., Giné, E., & Bühler, K. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1640207 · Cited by 2
“Speci fi c viral proteins, notably Nsp5 and orf8, disrupt essential signaling molecules, undermining early antiviral defenses, facilitating uncontrolled viral replication, and delaying effective immune activation (88, 89).”
Li, J., Liang, S., Li, Y., Wu, J., Li, C., Gan, J., Li, W., & Wang, C. (2026) · Respiratory Research · doi:10.1186/s12931-025-03465-6 · Cited by 5
“Despite the enormous effort having been invested in elucidating the pathophysiology of COVID-19, the immunological mechanisms in severe cases remain unclear [44].”
Noviardi, H., Iswantini, D., Mulijani, S., Wahyudi, S. T., & Khusniati, T. (2022) · Borneo Journal of Pharmacy · doi:10.33084/bjop.v5i3.3367 · Cited by 3
Macrophage-Induced Exacerbation of Nasopharyngeal Inflammatory Lymphocytes in COVID-19 Disease
Ayass, M., Tripathi, T., Griko, N., Nair, R. R., Zhang, J., Zhu, K., Cao, W., Pashkov, V., Okyay, T., Singh, S., et al. (2023) · COVID · doi:10.3390/covid3040041 · Cited by 2
Inhibiteurs du récepteur de l’IL-6 dans le traitement de la COVID-19 : que savons-nous ?
Lefèvre, C., Plocque, A., Tran, M., Creux, M., & Philippart, F. (2022) · Revue des Maladies Respiratoires · doi:10.1016/j.rmr.2022.11.085 · Cited by 2
MELK inhibition disrupts actin cytoskeleton and broadly restricts human coronavirus infections
Yu, K., Yao, Q., Wang, D., Hu, Q., Li, D.-D., Li, F., Chen, F., Su, J., Huang, T.-H., Zhang, Q., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-72615-1 · Cited by 2
“The activation of TBK1 coincides with an induced innate immune response following coronavirus infections 32,33 , which was con fi rmed by examining the activated form of TBK1 (phosphorylated TBK1 at serine residue 172, p-TBK1-S172) in response to three human coronavirus infections (Supplementary Fig.”
Xu, G., Chen, Y., Zhu, Y., Fang, Q., Xue, X., Hu, K.-J., Zhou, S., Hong, L., & Xiang, Y. (2026) · BMC Infectious Diseases · doi:10.1186/s12879-025-12468-z · Cited by 1
“These findings are congruent with the immunization debt hypothesis [16, 17] with 2023 data revealing age-specific amplification: school-aged children (≥ 6 years) showed the highest absolute positivity, while preschoolers (3–6 years) showed a 130% surge from 2019 (from 14.0% to 32.2”
InfluentialWu, Y., Yang, C.-W., Wei, X., Xiao, T., Zhou, J., Fan, L., Gao, X., Shen, X., He, X., Xu, G., et al. (2025) · Journal of Medical Virology · doi:10.1002/jmv.70751 · Cited by 1
Sato, T., Takenaka, Y., & Takeuchi, M. (2024) · Vaccines · doi:10.3390/vaccines12080878 · Cited by 1
“Second, the immune response in COVID-19 patients is known to vary depending on disease severity [8,38].”
BackgroundInfluentialHumoral and Cellular Immune Responses to SARS-CoV-2 in Participants with Head and Neck Cancer
Marutescu, L. G., Enea, A. G., Antoniadis, N.-M., Neculae, M., Costea, D.-A., Popa, M., Dragu, E., Codrici, E., Ristoiu, V., Gălățeanu, B., et al. (2025) · Viruses · doi:10.3390/v17060848 · Cited by 1
Zhang, J., & Wang, X.-J. (2024) · Infectious Disease and Therapy · doi:10.1007/s40121-024-01045-7 · Cited by 1
“…pressure [CPAP], the need for intravenous injection, and mortality) were not considered or adequately controlled for, such as anti-inflammatory or bone marrow toxicity medication use, vaccine use, smoking status, occupational factors, lifestyle and non-pharmacological psychological factors [2].”
BackgroundLefèvre, C., Funk-Brentano, T., Cachanado, M., Plocque, A., Fels, A., Pène, F., Savale, L., Montani, D., Voisin, O., Bintein, F., et al. (2025) · medRxiv · doi:10.1101/2025.03.04.25323313 · Cited by 1
“This was particularly noticeable in the ICU, where the delayed onset of inflammation and relatively low levels of IL-6 compared to typical acute respiratory distress syndrome or septic shock (4,5) often prevented the administration of these IL-6R inhibitors.”
Eschatological events in Matthew 24:1–15 and COVID-19 pandemic in Nigeria
Ukeachusim, C. P. (2023) · Verbum et Ecclesia · doi:10.4102/ve.v44i1.2755 · Cited by 1
“Though vaccination is going on in many countries, the current management of cases aims to relieve the symptoms while the body’s immune system fights the illness (Schultze & Aschenbrenner 2021).”
BackgroundActive regression model for clinical grading of COVID-19
Sh, Y., Dong, J., Chen, Z., Yuan, M., Lyu, L., & Zhang, X.-L. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1141996 · Cited by 1
“Individual differences in gene expression, metabolite levels, and immune cell composition affect the immune response via numerous mechanisms and impact COVID-19 susceptibility, disease severity, and prognosis (8 – 10).”
BackgroundYang, Z., Sun, J., Zhao, Y., Feng, R., Tang, Y., Bu, S., He, Y., Hu, Q.-N., Zhao, J.-C., & Hu, Y. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.10.036 · Cited by 1
Assessing Covi-19’s Effects on Mental Health in Nursing Students During E-Learning in Pandemic
Gjonej, R., Gjonej, A., Poloska, A., & Mataj, E. (2024) · South Eastern European Journal of Public Health · doi:10.70135/seejph.vi.673 · Cited by 1
“The rapid spread of this infection and the restrictive measures that were taken put many countries worldwide in crisis [7,8], especially health care system but, also affected all aspects of social life like school education, university, physical and mental health, economy,etc [9,10,11].”
BackgroundVolkov, V. (2022) · Communicative & Integrative Biology · doi:10.1080/19420889.2022.2082735 · Cited by 1
“age-dependent correlations); 3) age-dependent severity and mortality for the infection (both essentially increase for ages over 60 years) ([22] data and citations from [25];”
BackgroundSubramanian, K., Varghese, R. S., Pochedly, M., Muralidaran, V., Yazigi, N. A., Kaufman, S. S., Khan, K., Vitola, B. E., Kroemer, A., Fishbein, T., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-52456-y · Cited by 1
Gaur, P., Khattar, E., & Pandey, R. P. (2026) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2026.1795797 · Cited by 1
Kotur-Stevuljević, J., Roksandić, M. M., Vekić, J., Dimić, N., Dimić, D., Ćujić, D., Guzonjić, A., Gnjatović, M., Todorović, A., & Bogavac-Stanojević, N. (2025) · Journal of Medical Biochemistry · doi:10.5937/jomb0-63678 · Cited by 1
“Disease hetero geneity could be a consequence of innate immune system operability diversity in different subjects (1).”
SARS CoV-2-Immunität – Stärken und Schwächen
Niehues, T. (2021) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/a-1582-2327 · Cited by 1
Huot, N., Planchais, C., Contreras, V., Jacquelin, B., Petitdemange, C., Lazzerini, M., Rosenbaum, P., Rey, F., Reeves, R. K., Grand, R. L., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1561222/v1 · Cited by 1
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Metadata
- Authors
- Schultze, J. L., & Aschenbrenner, A. C.
- Affiliations
- University of Bonn (DE)
- Corresponding author
- Schultze, Joachim L.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 184
- Issue
- 7
- Pages
- 1671-1692
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC7885626
- OpenAlex
- W3131820551
- Cited by
- 714
- References
- 202
- Citations by year
- 2026: 30 · 2025: 57 · 2024: 96 · 2023: 174 · 2022: 235 · 2021: 122
- FWCI
- 18.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 365 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DZNE Pub (submittedVersion)
- Funders
- Rheinische Friedrich-Wilhelms-Universität Bonn
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Life Sciences › Immunology and Microbiology › Immunology › interferon and immune responses
- Keywords
- COVID-19 pandemic, SARS-CoV-2, innate immunity, disease heterogeneity, soluble immune mediators, pathophysiology, diagnostic biomarkers, treatment options, host-virus interaction
- MeSH terms
- Host Microbial Interactions, COVID-19, SARS-CoV-2, Humans, Immunity, Innate, Severity of Illness Index
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.
A language model drew the claims from the paper on 2026-10-06, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-06 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
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Statistics and arithmetic are recomputed, not judged.
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