PLCG2 is associated with the inflammatory response and is induced by amyloid plaques in Alzheimer’s disease
Open accessAbstract
Background: Alzheimer’s disease (AD) is characterized by robust microgliosis and phenotypic changes that accompany disease pathogenesis. Accumulating evidence from genetic studies suggests the importance of phospholipase C γ 2 (PLCG2) in late-onset AD (LOAD) pathophysiology. However, the role of PLCG2 in AD is still poorly understood. Methods: Using bulk RNA-Seq ( N =1249) data from the Accelerating Medicines Partnership-Alzheimer’s Disease Consortium (AMP-AD), we investigated whether PLCG2 expression increased in the brains of LOAD patients. We also evaluated the relationship between PLCG2 expression levels, amyloid plaque density, and expression levels of microglia specific markers ( AIF1 and TMEM119 ). Finally, we investigated the longitudinal changes of PLCG2 expression in the 5xFAD mouse model of AD. To further understand the role of PLCG2 in different signaling pathways, differential gene expression and co-expression network analyses were performed using bulk RNA-Seq and microglial single-cell RNA-Seq data. To substantiate the human analyses, we performed differential gene expression analysis on wild-type (WT) and inactivated Plcg2 mice and used immunostaining to determine if the differentially expressed genes/pathways were altered by microglial cell coverage or morphology. Results: We observed significant upregulation of PLCG2 expression in three brain regions of LOAD patients and significant positive correlation of PLCG2 expression with amyloid plaque density. These findings in the human brain were validated in the 5xFAD amyloid mouse model, which showed disease progression-dependent increases in Plcg2 expression associated with amyloid pathology. Of note, increased Plcg2 expression levels in 5xFAD mice were abolished by reducing microglia. Furthermore, using bulk RNA-Seq data, we performed differential expression analysis by comparing cognitively normal older adults (CN) with 75th percentile (high) and 25th percentile (low) PLCG2 gene expression levels to identify pathways related to inflammation and the inflammatory response. The findings in the human brain were validated by differential expression analyses between WT and plcg2 inactivated mice. PLCG2 co-expression network analysis of microglial single-cell RNA-Seq data identified pathways related to the inflammatory response including regulation of I-kappaB/NF-kappa B signaling and response to lipopolysaccharide. Conclusions: Our results provide further evidence that PLCG2 plays an important role in AD pathophysiology and may be a potential target for microglia-targeted AD therapies.
AI snapshot
Written from the paper’s full text.
TL;DR
PLCG2 expression is upregulated in multiple LOAD brain regions and correlates with amyloid plaque density and microglial marker expression, with validation in 5xFAD mice showing plaque- and microglia-dependent Plcg2 induction. Differential expression and co-expression analyses link PLCG2 to inflammatory and NF-κB/lipopolysaccharide-related pathways in human and mouse microglia.
Key findings
- PLCG2 was overexpressed in LOAD versus CN in temporal cortex (logFC=0.27, p=4.56E-02), parahippocampal gyrus (logFC=0.55, p=1.74E-03), superior temporal gyrus (logFC=0.46, p=2.55E-02), and inferior prefrontal gyrus (logFC=0.36, p=1.38E-02), but not in cerebellum, frontal pole, or dorsolateral prefrontal cortex.
- PLCG2 expression was positively associated with amyloid plaque density in parahippocampal gyrus (β=0.027, p=5.22E-05), superior temporal gyrus (β=0.026, p=2.02E-04), and inferior prefrontal cortex (β=0.017, p=2.73E-03), but not frontal pole (β=0.01, p=0.08).
- In 5xFAD mice, Plcg2 increased at 4 months (1.39-fold cortex, 1.37-fold hippocampus), 6 months (2.37-fold cortex, 1.96-fold hippocampus), and 8 months (2.43-fold cortex, 2.67-fold hippocampus); PLX5622 treatment abolished this increase despite only 70% microglial depletion, and expression was restored after returning to normal diet. No Plcg2 increase was observed in 12-month P301S tauopathy mice.
- Differential expression comparing CN with high versus low PLCG2 identified 5047 significant genes (FDR-corrected p<0.05; 4566 downregulated, 481 upregulated) and inflammatory response GO terms (FDR-corrected p=5.77E-32); Plcg2-inactivated mice showed 74 differentially expressed genes on the NanoString neuroinflammation panel, with 17 genes changing in the same direction as in humans. Single-cell PLCG2 co-expression analysis of 413 top 20% upregulated genes identified pathways including response to lipopolysaccharide and regulation of I-kappaB kinase/NF-kappaB signaling.
Methods
- Bulk RNA-Seq data (N=1249) from AMP-AD cohorts (Mayo, MSBB, ROS/MAP) across seven brain regions were analyzed with limma for diagnostic group differences, using age, sex, and APOE ε4 carrier status as covariates; linear regression tested associations of PLCG2 with amyloid plaque density and microglial markers AIF1 and TMEM119.
- Microglial single-cell RNA-Seq from 12 donors (4 MCI, 8 AD) from ROS/MAP dorsolateral prefrontal cortex yielded 15,021 cells after QC; Seurat was used for clustering/UMAP and GENIE3 for PLCG2 co-expression network analysis.
- Mouse studies used WT and 5xFAD mice at 1, 4, 6, and 8 months, PLX5622 microglial depletion, and Plcg2-inactivated mice; readouts included qPCR, NanoString neuroinflammation panel, and immunofluorescence for IBA1/P2RY12, with t tests for WT versus 5xFAD comparisons.
Limitations
- The paper does not include an explicit limitations section.
- Evident from the text: human findings are post-mortem bulk RNA-Seq associations, so causality and directionality between PLCG2 expression, amyloid plaques, and microglial markers cannot be established.
- Evident from the text: validation relies on amyloid-focused 5xFAD and Plcg2-inactivated mouse models; the absence of Plcg2 increase in P301S tauopathy suggests the findings may be amyloid-specific, and PLX5622 achieved only about 70% microglial depletion.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
12 of 16 cited sources checked · 1 supported · 0 flagged · accuracy not yet measured
- Premisecitation
A hypermorphic variant in PLCG2, rs72824905, is protective against AD risk.
“a hypermorphic variant in PLCG2, rs72824905, is protective against AD risk [9–11].”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [9] Sims R, van der Lee SJ, Naj AC, Bellenguez C, Badarinarayan N, Jakobsdottir J, et al. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer’s disease. Nat Genet. 2017;49:1373–84. source
The paper reports that PLCG2 rs72824905/p.P522R is associated with decreased late-onset Alzheimer’s disease risk (Abstract; page unavailable). It does not establish that this particular variant is hypermorphic. Its discussion of mixed gain and loss of function concerns other PLCG2 variants. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [10] Magno L, Lessard CB, Martins M, Lang V, Cruz P, Asi Y, et al. Alzheimer’s disease phospholipase C-gamma-2 (PLCG2) protective variant is a functional hypermorph. Alzheimers Res Ther. 2019;11:16. source
The Results section reports that PLCG2 p.P522R has a small hypermorphic effect, and the Conclusion calls it an AD-protective variant. Our copy does not identify p.P522R as rs72824905, so it does not verify the specific identifier in the claim. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [11] Maguire E, Menzies GE, Phillips T, Sasner M, Williams HM, Czubala MA, et al. PIP2 depletion and altered endocytosis caused by expression of Alzheimer’s disease-protective variant PLCgamma2 R522. EMBO J. 2021;40:e105603. source
- Findingown data
Increased PLCG2 expression levels positively correlate with expression levels of microglial marker genes AIF1 and TMEM119 in LOAD patients.
“Here, we report that PLCG2 expression is increased in several brain regions of LOAD patients and that increased PLCG2 expression levels positively correlate with both brain amyloid plaques and expression levels of microglial marker genes (AIF1 and TMEM119) (Fig. 6) [34–36].”
- Also stated in: § Discussion · plain
“Moreover, expression levels of PLCG2 were significantly associated with expression levels of microglia-specific marker genes (AIF1 and TMEM119), which we validated in 5xFAD mice, showing that increased Plcg2 expression was induced by amyloid plaques and the increase reverted to control levels after significantly reducing microglia with the colony-stimulating factor-1 antagonist PLX5622.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [34] Hopperton KE, Mohammad D, Trepanier MO, Giuliano V, Bazinet RP. Markers of microglia in post-mortem brain samples from patients with Alzheimer’s disease: a systematic review. Mol Psychiatry. 2018;23:177–98. source
The Results section identifies Iba1 as a microglial marker, and the References list a study identifying TMEM119 as a marker of a subset of human microglia (page numbers unavailable in our copy). The review does not report a correlation between PLCG2 expression and either marker in LOAD patients; the citing sentence presents that correlation as the citing authors’ own finding. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [35] Kaiser T, Feng G. Tmem119-EGFP and Tmem119-CreERT2 Transgenic Mice for Labeling and Manipulating Microglia. eNeuro. 2019;6. source
The ‘EGFP is faithfully expressed in microglia’ section identifies IBA1 and TMEM119 as microglial proteins and shows their presence in labeled mouse microglia. It does not report PLCG2 expression or test its correlation with either marker in LOAD patients; that correlation is presented in the citing sentence as the citing authors’ own finding. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [36] Satoh J, Kino Y, Asahina N, Takitani M, Miyoshi J, Ishida T, et al. TMEM119 marks a subset of microglia in the human brain. Neuropathology. 2016;36:39–49. source
- Also stated in: § Discussion · plain
- Findingown data
The findings in the human brain were validated by differential expression analyses between WT and Plcg2-inactivated mice.
“The findings in the human brain were validated by differential expression analyses between WT and plcg2 inactivated mice.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5xFAD mouse model recapitulates aspects of AD amyloid pathology relevant to human LOAD.
- Findingown data
Of the differentially expressed genes, 17 genes (16 downregulated and 1 upregulated) had the same differentially expressed directions in both humans and mice.
“Of these genes, 17 genes shown in the volcano plot (16 downregulated and 1 upregulated) were identified to have the same differentially expressed directions in both humans and mice (Fig. 4c).”
Quote in the paperSubstantial claim - Findingown data
PLCG2 expression is increased in several brain regions of LOAD patients.
“Here, we report that PLCG2 expression is increased in several brain regions of LOAD patients and that increased PLCG2 expression levels positively correlate with both brain amyloid plaques and expression levels of microglial marker genes (AIF1 and TMEM119) (Fig. 6) [34–36].”
- Also stated in: § Conclusions · plain
“In conclusion, PLCG2 expression is increased in several brain regions in LOAD patients and significantly correlates with brain amyloid burden in LOAD patients and AD model mice.”
Quote in the paperSubstantial claim - Also stated in: § Conclusions · plain
- Findingown data
Immunostaining of 1-month-old WT and PLCG2 inact mice revealed that microglial cell coverage and morphology were unchanged.
“Immunostaining of 1-month-old WT and PLCG2 inact mice revealed that the microglial cell coverage and morphology were unchanged (Fig. 4d).”
- Also stated in: § Differential expression analysis in cognitively normal older adults and Plcg2-inactivated mouse model identified inflammation-related pathways · boosted
“Immunostaining of microglial markers with IBA1 (green) and P2RY12 (red) and quantification of percent area in brain sections of 1-month-old male WT and PLCG2 inact demonstrate unchanged microglial morphology and area coverage (d).”
Quote in the paperSubstantial claim - Also stated in: § Differential expression analysis in cognitively normal older adults and Plcg2-inactivated mouse model identified inflammation-related pathways · boosted
- Findingown data
Differential expression analysis comparing Plcg2-inactivated mice with WT mice at one month of age using the NanoString Neuroinflammation panel identified 74 significantly differentially expressed genes, including 39 downregulated and 35 upregulated genes.
“To validate our findings in humans, we generated mice with inactivated Plcg2 and performed differential expression analysis by comparing Plcg2-inactivated mice with WT mice at one month of age using gene expression data from the NanoString Neuroinflammation panel (757 genes) (Additional file 1: Table S4). Our analysis identified 74 significantly differentially expressed genes, including 39 down”
Quote in the paperSubstantial claim - Findingown data
In 5xFAD mice, Plcg2 expression is increased in the cortex and hippocampus at 4, 6, and 8 months of age.
“In 5xFAD mice, Plcg2 expression was increased in the cortex (Fig. 3a) and hippocampus (Fig. 3b) of 4-, 6-, and 8-month-old mice (4-month: 1.39-fold in the cortex and 1.37-fold in the hippocampus; 6-month: 2.37-fold in the cortex and 1.96-fold in the hippocampus; and 8-month: 2.43-fold in the cortex and 2.67-fold in the hippocampus) (Fig. 3).”
- Also stated in: § Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice · plain
“There were significant changes in Plcg2 gene expression in both the a cortex and b hippocampus at 4, 6, and 8 months of age (n=4–8 mice).”
Quote in the paperSubstantial claim - Also stated in: § Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice · plain
- Findingown data
Plcg2 expression shows a disease progression-dependent increase in mice with amyloid pathology.
“Furthermore, our analysis showed a disease progression-dependent increase in Plcg2 expression in mice with amyloid pathology.”
- Also stated in: § Conclusions · plain
“Specifically, 5xFAD amyloid pathology mice, we observed a disease progression-dependent increase in Plcg2 expression.”
Quote in the paperSubstantial claim - Also stated in: § Conclusions · plain
- Findingown data
Plcg2 expression levels were restored after switching the mouse diet from the PLX diet to a normal diet for 28 further days.
“Furthermore, expression levels of Plcg2 were restored after switching the mouse diet from the PLX diet to a normal diet for 28 further days (Fig. 3d).”
- Also stated in: § Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice · plain
“and restored after switching the PLX diet to a normal diet (d) (n=3–10).”
Quote in the paperSubstantial claim - Also stated in: § Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice · plain
- Findingown data
PLCG2 expression is upregulated in LOAD compared to cognitively normal older adults in the temporal cortex, parahippocampal gyrus, superior temporal gyrus, and inferior prefrontal gyrus.
“we found that PLCG2 was overexpressed in LOAD patients in the temporal cortex (logFC=0.27, p=4.56E-02; Fig. 1a), parahippocampal gyrus (logFC=0.55, p=1.74E-03; Fig. 1b), superior temporal gyrus (logFC=0.46, p=2.55E-02; Fig. 1c), and inferior prefrontal gyrus (logFC=0.36, p=1.38E-02; Fig 1d) (Table 2).”
Quote in the paperSubstantial claim - Findingown data
Increased Plcg2 expression levels in 5xFAD mice are abolished by reducing microglia.
“Of note, increased Plcg2 expression levels in 5xFAD mice were abolished by reducing microglia.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5xFAD mouse model recapitulates aspects of AD amyloid pathology relevant to human LOAD.
- Findingown data
IL1B is one of the top 20 genes included in the PLCG2 co-expression network.
“This analysis identified IL1B as one of the top 20 genes included in the PLCG2 co-expression network, recapitulating the result of a previous study in which IL1B expression was downregulated in PLCG2 knock-out iMG cells after zymosan challenge [38].”
Quote in the paperSubstantial claim - Findingown data
PLCG2 co-expression network analysis of microglial single-cell RNA-Seq data identified pathways related to the inflammatory response, including regulation of I-kappaB/NF-kappa B signaling and response to lipopolysaccharide.
“PLCG2 co-expression network analysis of microglial single-cell RNA-Seq data identified pathways related to the inflammatory response including regulation of I-kappaB/NF-kappa B signaling and response to lipopolysaccharide.”
Quote in the paperSubstantial claim - Findingown data
Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice.
“Fig 3. Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice.”
Quote in the paperSubstantial claim - Findingown data
Differential expression analysis of bulk RNA-Seq data from the ROS/MAP cohort comparing cognitively normal older adults in the 25th percentile of PLCG2 expression with those in the 75th percentile identified 5047 significantly differentially expressed genes (FDR-corrected p<0.05), including 4566 downregulated and 481 upregulated genes.
“We performed differential expression analysis of bulk RNA-Seq data from the ROS/MAP cohort by comparing CN in the 25th percentile of PLCG2 gene expression levels with CN participants in the 75th percentile of PLCG2 gene expression levels (Additional file 1: Table S3). The analysis identified 5047 significantly differentially expressed genes (FDR-corrected p<0.05), including 4566 downregulated (992”
Quote in the paperSubstantial claim - Findingown data
Plcg2 expression is increased in the 5xFAD mouse model of amyloid pathology.
“Plcg2 expression was increased in the 5xFAD mouse model of amyloid pathology, consistent with our findings in human LOAD.”
- Also stated in: § Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice · plain
“Fig 3. Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice.”
Quote in the paperSubstantial claim - Also stated in: § Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice · plain
- Findingown data
Increased PLCG2 expression levels positively correlate with brain amyloid plaques in LOAD patients.
“Here, we report that PLCG2 expression is increased in several brain regions of LOAD patients and that increased PLCG2 expression levels positively correlate with both brain amyloid plaques and expression levels of microglial marker genes (AIF1 and TMEM119) (Fig. 6) [34–36].”
- Also stated in: § Conclusions · plain
“In conclusion, PLCG2 expression is increased in several brain regions in LOAD patients and significantly correlates with brain amyloid burden in LOAD patients and AD model mice.”
Quote in the paperSubstantial claim - Also stated in: § Conclusions · plain
- Findingown data
PLCG2 co-expression network analysis of gene expression profiles using GENIE3 identified the co-occurrence of genes and pathways associated with PLCG2 in the microglia of MCI and AD patients.
“PLCG2 co-expression network analysis of gene expression profiles using GENIE3 identified the co-occurrence of genes and pathways associated with PLCG2 in the microglia of MCI and AD patients (Additional file 1: Table S5).”
Quote in the paperSubstantial claim - Findingown data
PLCG2 expression is not associated with amyloid plaque density in the frontal pole.
“but not in the frontal pole (β=0.01, p=0.08; Fig. 2d).”
Quote in the paperNot a substantial claim - Findingown data
Pathway analysis of the differentially expressed genes identified several GO terms, including the inflammatory response (FDR-corrected p=5.77E-32).
“Pathway analysis identified several GO terms, including the inflammatory response (FDR-corrected p=5.77E-32) (Fig. 4b).”
Quote in the paperSubstantial claim - Findingown data
Gene-set enrichment analysis of the top 20% of upregulated genes co-expressed with PLCG2 (413 genes) identified significant GO terms, including response to unfolded protein and lipopolysaccharide, regulation of small GTPase-mediated signal transduction, regulation of I-kappaB kinase/NF-kappaB signaling, and regulation of cell population proliferation.
“Gene-set enrichment analysis of the top 20% of upregulated genes co-expressed with PLCG2 (413 genes) identified significant GO terms, including response to unfolded protein and lipopolysaccharide, regulation of small GTPase-mediated signal transduction, regulation of I-kappaB kinase/NF-kappaB signaling, and regulation of cell population proliferation, as shown in Fig. 5c.”
- Also stated in: § Discussion · plain
“The identified pathways were related to the response to unfolded protein, regulation of small GTPase mediated signal transduction, regulation of I-kappaB kinase/NF-kappaB signaling, response to lipopolysaccharide, and regulation of cell population proliferation.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
PLCG2 expression is positively associated with amyloid plaque density in the parahippocampal gyrus, superior temporal gyrus, and inferior prefrontal cortex.
“Increased PLCG2 expression levels were associated with increased amyloid plaque levels in the parahippocampal gyrus (β=0.027, p=5.22E-05; Fig. 2a), superior temporal gyrus (β=0.026, p=2.02E-04; Fig. 2b), and inferior prefrontal cortex (β=0.017, p=2.73E-03; Fig. 2c)”
- Also stated in: § Results · plain
“We observed significant upregulation of PLCG2 expression in three brain regions of LOAD patients and significant positive correlation of PLCG2 expression with amyloid plaque density.”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingnone given
The differentially expressed genes/pathways were not altered by microglial cell coverage or morphology.
“Notably, the differentially expressed genes/pathways were not altered by microglial cell coverage or morphology”
Quote in the paperNot a substantial claim - Findingown data
PLCG2 expression does not differ by diagnostic group in the cerebellum, frontal pole, or dorsolateral prefrontal cortex.
“However, we did not find any diagnostic group differences in the cerebellum (Fig. 1e), frontal pole (Fig. 1f), and dorsolateral prefrontal cortex (Fig. 1g) (Table 2).”
Quote in the paperNot a substantial claim - Findingown data
Plcg2 is highly expressed in plaque-induced microglia in the brains of 5xFAD mice.
“Similarly, in a 5xFAD mouse model, Plcg2 expression increased in a disease progression-dependent manner and Plcg2 was highly expressed in plaque-induced microglia in the brain.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5xFAD mouse model recapitulates aspects of AD amyloid pathology relevant to human LOAD.
- Findingown data
The increase in Plcg2 expression in the cortex of 5xFAD mice was reduced to control levels by PLX5622 treatment, despite only 70% microglial depletion.
“In the cortex, the increase in Plcg2 expression in 5xFAD mice was reduced to control levels by the PLX treatment, despite only 70% microglial depletion (Fig. 3c).”
- Also stated in: § Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice · plain
“However, increased Plcg2 expression levels were abolished after the PLX5622 treatment (c) and restored after switching the PLX diet to a normal diet (d) (n=3–10).”
Quote in the paperSubstantial claim - Also stated in: § Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice · plain
- Findingown data
Differential expression analysis comparing cognitively normal older adults with high (75th percentile) and low (25th percentile) PLCG2 expression levels identified pathways related to inflammation and the inflammatory response.
“using bulk RNA-Seq data, we performed differential expression analysis by comparing cognitively normal older adults (CN) with 75th percentile (high) and 25th percentile (low) PLCG2 gene expression levels to identify pathways related to inflammation and the inflammatory response.”
- Also stated in: § Background · hedged
“Importantly, differential expression analysis in CN and a Plcg2-inactivated mouse model identified inflammation-related pathways, suggesting a potential role for PLCG2 in inflammation-related pathways.”
Quote in the paperSubstantial claim - Also stated in: § Background · hedged
- Findingown data
No increase in Plcg2 expression was observed in a 12-month tauopathy mouse model (P301S).
“However, we did not observe any increase in Plcg2 expression in a 12-month tauopathy mouse model (P301S), which exhibits robust microgliosis (Additional file 2: Fig. S1).”
- Also stated in: § Discussion · hedged
“Interestingly, we did not observe an increase in Plcg2 expression in a 12-month tauopathy mouse model (P301S), which exhibits robust microgliosis, suggesting that the increase of Plcg2 might result from an association between microglia and amyloid plaques, rather than microgliosis.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · hedged
- Findingown data
With APOE ε4 carrier status as an additional covariate, PLCG2 remains overexpressed in LOAD in the parahippocampal gyrus, superior temporal gyrus, and inferior prefrontal cortex.
“With inclusion of APOE ε4 carrier status as an additional covariate, PLCG2 remained overexpressed in LOAD patients in the parahippocampal gyrus (logFC=0.57, p=2.02E-03), superior temporal gyrus (logFC=0.42, p=4.95E-02), and inferior prefrontal cortex (logFC=0.33, p=2.60E-02) (Table 2).”
Quote in the paperSubstantial claim - Interpretationown data
PLCG2 plays an important role in the inflammation-related pathway in AD.
“Overall, our results suggest that PLCG2 plays an important role in the inflammation-related pathway in AD and that PLCG2 might be a microglia-associated potential therapeutic target in AD treatment.”
Quote in the paperSubstantial claim - Interpretationown data
The increase of Plcg2 might result from an association between microglia and amyloid plaques, rather than microgliosis.
“Interestingly, we did not observe an increase in Plcg2 expression in a 12-month tauopathy mouse model (P301S), which exhibits robust microgliosis, suggesting that the increase of Plcg2 might result from an association between microglia and amyloid plaques, rather than microgliosis.”
Quote in the paperSubstantial claim- Rests on an assumption: The 12-month P301S tauopathy mouse model exhibits robust microgliosis.
- Interpretationown data
PLCG2 has a potential role in AD microglia.
“These findings suggest a potential role for PLCG2 in AD microglia, which may allow us to develop a novel therapeutic strategy targeting PLCG2 or the signaling networks associated with it.”
Quote in the paperSubstantial claim - Interpretationown data
The 5xFAD and Plcg2-inactivation mouse models are appropriate for studying PLCG2 in AD.
“The results of this study show that 5xFAD and Plcg2-inactivation mouse models are appropriate for studying PLCG2 in AD.”
Quote in the paperSubstantial claim - Premisecitation
PLCG2 is required to induce proinflammatory signaling in human induced pluripotent stem cell-derived microglia-like (iMG) cells.
“A previous study of human induced pluripotent stem cell-derived microglia-like (iMG) cells revealed that PLCG2 is required to induce proinflammatory signaling, a finding recapitulated by the results of our pathway analysis [38], reinforcing the role of PLCG2 in the inflammatory response.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [38] Andreone BJ, Przybyla L, Llapashtica C, Rana A, Davis SS, van Lengerich B, et al. Alzheimer's-associated PLCgamma2 is a signaling node required for both TREM2 function and the inflammatory response in human microglia. Nat Neurosci. 2020;23:927–38. source
- Interpretationown data
PLCG2 has a role in the inflammatory response.
“Differentially expressed genes (FDR-corrected p<0.05), including ccl2, cx3cl1, and cxcl9, are shown in the heatmap with enrichment analysis of KEGG pathways (Additional file 2: Fig. S2a) and Gene Ontology terms for biological processes (Additional file 2: Fig. S2b), suggesting the role of PLCG2 in the inflammatory response.”
- Also stated in: § Discussion · hedged
“These results suggest a potential role for PLCG2 in inflammation-related pathways.”
- Also stated in: § Discussion · boosted
“reinforcing the role of PLCG2 in the inflammatory response.”
Quote in the paperSubstantial claim- Rests on an assumption: The ROS/MAP cohort cognitively normal participants selected by PLCG2 expression percentiles are representative of cognitively normal older adults.
- Also stated in: § Discussion · hedged
- Interpretationown data
PLCG2 plays an important role in AD pathophysiology.
“Our results provide further evidence that PLCG2 plays an important role in AD pathophysiology and may be a potential target for microglia-targeted AD therapies.”
Quote in the paperSubstantial claim
- May combine two claims. 9
- Classified as probably not a substantial claim. 6
May combine two claims.
FindingcitationOur findings in humans were validated in mice with inactivated Plcg2 expression, which reduced expression levels of AD-associated microglial genes including CLEC7A, C3, and PIK3R5, in comparison with WT mice.
“Our findings in humans were validated in mice with inactivated Plcg2 expression (PLCG2 inact), which reduced expression levels of AD-associated microglial genes [39, 40], including CLEC7A, C3, and PIK3R5, in comparison with expression levels of these genes in WT mice.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [39] Krasemann S, Madore C, Cialic R, Baufeld C, Calcagno N, El Fatimy R, et al. The TREM2-APOE pathway drives the transcriptional phenotype of dysfunctional microglia in neurodegenerative diseases. Immunity. 2017;47(566-581):e569. source
The Results section on MGnD microglia in the AD cortex identifies CLEC7A-positive microglia near amyloid plaques, supporting CLEC7A as an AD-associated microglial marker. It does not identify C3 or PIK3R5 in that association. Its reported reductions in CLEC7A concern Trem2 or Apoe deletion, not Plcg2 inactivation; the sentence presents the Plcg2 comparison as the citing authors’ own finding. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [40] Keren-Shaul H, Spinrad A, Weiner A, Matcovitch-Natan O, Dvir-Szternfeld R, Ulland TK, et al. A unique microglia type associated with restricting development of Alzheimer’s disease. Cell. 2017;169:1276–1290.e1217. source
The Results identify Clec7a as a marker of disease-associated microglia in AD-model mice, supporting that part of the cited gene classification. The passages do not identify C3 or PIK3R5 as such markers. The Plcg2-inactivation comparison is presented as the citing authors’ own finding, not as a result attributed to this source. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn AD, the effect of PLCG2 might depend on the stage of neurodegeneration, the gene expression, the enzymatic activity, and the formation of intracellular signaling complexes in microglia.
“In AD, the effect of PLCG2 might depend on the stage of neurodegeneration, the gene expression, the enzymatic activity, and the formation of intracellular signaling complexes in microglia [10, 13–16].”
Quote in the paperNot a substantial claim4 of 5 sources checked- cites [10] Magno L, Lessard CB, Martins M, Lang V, Cruz P, Asi Y, et al. Alzheimer’s disease phospholipase C-gamma-2 (PLCG2) protective variant is a functional hypermorph. Alzheimers Res Ther. 2019;11:16. source
The Results section, “PLCG2 in microglia in Alzheimer’s disease” (page not provided), examines PLCG2 expression in plaque-associated microglia; the Conclusion (page not provided) reports increased activity of the protective variant. These findings support the expression and enzymatic-activity aspects, but the paper does not establish that PLCG2’s effect depends on the stage of neurodegeneration or on the formation of intracellular signaling complexes. The Discussion describes signaling links as possibilities for further study. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [13] Takalo M, Wittrahm R, Wefers B, Parhizkar S, Jokivarsi K, Kuulasmaa T, et al. The Alzheimer’s disease-associated protective Plcγ2-P522R variant promotes immune functions. Mol Neurodegener. 2020;15:52. source
The Findings sections (page unavailable) report that the protective P522R variant alters brain gene-expression patterns and increases PLCγ2 enzyme activity in mouse macrophages, with evidence of altered microglial activation. They do not establish that PLCG2’s effect in AD depends on the stage of neurodegeneration or on the formation of intracellular signaling complexes in microglia; the authors say studies with AD-associated pathology are still needed. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [14] Hajicek N, Keith NC, Siraliev-Perez E, Temple BR, Huang W, Zhang Q, Harden TK, Sondek J. Structural basis for the activation of PLC-gamma isozymes by phosphorylation and cancer-associated mutations. Elife. 2019;8. source
The Introduction links a moderately active PLC-γ2 variant to protection from late-onset Alzheimer’s disease, supporting a possible role for enzymatic activity. It also describes PLC-γ domains that scaffold signaling proteins, but neither the Introduction nor the Discussion says that PLCG2’s effect in Alzheimer’s depends on neurodegeneration stage, gene expression, or signaling-complex formation in microglia. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [15] Andreone BJ, Przybyla L, Llapashtica C, Rana A, Davis SS, van Lengerich B, et al. Alzheimer’s-associated PLCγ2 is a signaling node required for both TREM2 function and the inflammatory response in human microglia. Nat Neurosci. 2020;23:927–38. source
- cites [16] Magno L, Bunney TD, Mead E, Svensson F, Bictash MN. TREM2/PLCγ2 signalling in immune cells: function, structural insight, and potential therapeutic modulation. Mol Neurodegener. 2021;16:22. source
The sections on AD-associated variants and microglial signalling link PLCγ2 enzymatic activity and recruitment into signalling networks to microglial function. The therapy section raises the possibility that the benefit of TREM2/PLCγ2 pathway activation varies across disease progression, but its AD expression finding concerns TREM2, not PLCG2. The paper therefore does not establish the full set of proposed dependencies for PLCG2 itself. These passages have no page numbers in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationApproximately 40% of the susceptibility genes identified in genetic studies of LOAD are immune- and microglia-related, suggesting that microglia are involved in modulating AD pathology.
“approximately 40% of the susceptibility genes identified in genetic studies of LOAD are immune- and microglia-related, suggesting that microglia are involved in modulating AD pathology [8].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [8] Karch CM, Goate AM. Alzheimer’s disease risk genes and mechanisms of disease pathogenesis. Biol Psychiatry. 2015;77:43–51. source
The Immune Response section lists several LOAD risk genes involved in immune pathways, and its CD33 subsection describes microglial involvement in Aβ clearance and plaque burden. Our copy does not state or substantiate the claimed approximately 40% proportion of susceptibility genes. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataPLCG2 expression significantly correlates with brain amyloid burden in LOAD patients and AD model mice.
“In conclusion, PLCG2 expression is increased in several brain regions in LOAD patients and significantly correlates with brain amyloid burden in LOAD patients and AD model mice.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThese genes and pathways are related to the inflammatory response, cytokine-mediated signaling, regulation of complement activation, chemotaxis, response to lipopolysaccharide, regulation of I-kappaB/NF-kappaB signaling, and response to interleukin-1.
“These genes and pathways are related to the inflammatory response, cytokine-mediated signaling, regulation of complement activation, chemotaxis, response to lipopolysaccharide, regulation of I-kappaB/NF-kappaB signaling, and response to interleukin-1.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the 5xFAD mouse model, Plcg2 expression increases in a disease progression-dependent manner and is associated with amyloid pathology.
“These findings in the human brain were validated in the 5xFAD amyloid mouse model, which showed disease progression-dependent increases in Plcg2 expression associated with amyloid pathology.”
- Also stated in: § Background · plain
“Similarly, in a 5xFAD mouse model, Plcg2 expression increased in a disease progression-dependent manner and Plcg2 was highly expressed in plaque-induced microglia in the brain.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5xFAD mouse model recapitulates aspects of AD amyloid pathology relevant to human LOAD.
- Also stated in: § Background · plain
Classified as probably not a substantial claim.
Study design and conductown dataAge, sex, and APOE ε4 carrier status were used as covariates in the differential expression analysis of PLCG2 among CN, MCI, and LOAD.
“Age, sex, and APOE ε4 carrier status were used as covariates.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenBoth male and female mice were used, and the numbers of male and female mice were equally distributed.
“Both male and female mice were used, and the numbers of male and female mice were equally distributed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenExperiments at the 2-, 4-, 6-, and 8-month time points were performed independently.
“Experiments at the 2-, 4-, 6- and 8-month time points were performed independently”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPLCG2 is a membrane-associated enzyme that catalyzes the conversion of PIP2 to IP3 and DAG, which plays a crucial role in cell-surface receptor signal transduction.
“PLCG2 is a membrane-associated enzyme that catalyzes the conversion of phospholipid PIP2 (1-phosphatidyl-1D-myo-inositol 4,5-bisphosphate) to IP3 (1D-myo-inositol 1,4,5-trisphosphate) and DAG (diacylglycerol), which plays a crucial role in cell-surface receptor signal transduction [12].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] Hernandez D, Egan SE, Yulug IG, Fisher EM. Mapping the gene that encodes phosphatidylinositol-specific phospholipase C-gamma 2 in the human and the mouse. Genomics. 1994;23:504–7. source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenImages were blinded for microglia morphology measurement.
“Images were blinded, and the area coverage of microglia was calculated using ImageJ software [31].”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataIncreased Plcg2 expression was induced by amyloid plaques and the increase reverted to control levels after significantly reducing microglia with PLX5622.
“Moreover, expression levels of PLCG2 were significantly associated with expression levels of microglia-specific marker genes (AIF1 and TMEM119), which we validated in 5xFAD mice, showing that increased Plcg2 expression was induced by amyloid plaques and the increase reverted to control levels after significantly reducing microglia with the colony-stimulating factor-1 antagonist PLX5622.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
The role of PLCG2 in AD is poorly understood and has not been comprehensively explored.
“However, the role of PLCG2 in AD is still poorly understood.”
“However, the role of PLCG2 has not yet been comprehensively explored.”
The paper relies on this without support.
The 5xFAD mouse model recapitulates aspects of AD amyloid pathology relevant to human LOAD.
“These findings in the human brain were validated in the 5xFAD amyloid mouse model”
“Similarly, in a 5xFAD mouse model, Plcg2 expression increased in a disease progression-dependent manner”
The paper relies on this without support.
The 12-month P301S tauopathy mouse model exhibits robust microgliosis.
“However, we did not observe any increase in Plcg2 expression in a 12-month tauopathy mouse model (P301S), which exhibits robust microgliosis (Additional file 2: Fig. S1).”
“Interestingly, we did not observe an increase in Plcg2 expression in a 12-month tauopathy mouse model (P301S), which exhibits robust microgliosis, suggesting that the increase of Plcg2 might result from an association between microglia and amyloid plaques, rather than microgliosis.”
The paper relies on this without support.
The ROS/MAP cohort cognitively normal participants selected by PLCG2 expression percentiles are representative of cognitively normal older adults.
“We performed differential expression analysis of bulk RNA-Seq data from the ROS/MAP cohort by comparing CN in the 25th percentile of PLCG2 gene expression levels with CN participants in the 75th percentile of PLCG2 gene expression levels (Additional file 1: Table S3).”
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?
PLCG2 loss-of-function has recently been associated with worsened AD pathology.
“Likewise, PLCG2 loss‐of‐function has recently been associated with worsened AD pathology. 12 , 27 , 29”
From PLCG2 modulates TREM2 expression and signaling in response to Alzheimer's disease pathology (2025) · cites this paper as [12]
The Conclusions (page unavailable) say future studies are needed to determine whether decreased PLCG2 expression exacerbates or attenuates disease. The paper studies Plcg2-inactivated mice, but does not report that loss of function is associated with worsened AD pathology. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredPLCG2 encodes an enzyme predominately expressed in microglia within the central nervous system.
“PLCG2 encodes an enzyme predominately expressed in microglia within the central nervous system. 11 , 12”
From Alzheimer's disease–associated PLCG2 variants alter microglial state and function in human induced pluripotent stem cell–derived microglia‐like cells (2025) · cites this paper as [12]
The Background identifies PLCG2 as a membrane-associated enzyme, and the Results report its expression in brain microglia. The Results finding that expression increased exclusively in microglia concerns 5xFAD mice with amyloid pathology; it does not establish that PLCG2 is predominantly expressed in microglia throughout the central nervous system. (LLM, conf=0.82)
Experimental — accuracy not yet measuredPLCG2 expression is associated with both amyloid and tau pathology.
“PLCG2 expression has also been associated with both amyloid and tau pathology (4, 11).”
From Multi-omics analyses reveal novel effects of PLCγ2 deficiency in the mouse brain (2023) · cites this paper as [11]
The Results section ('Increased PLCG2 expression levels are associated with amyloid plaques in the human brain'; page not provided) reports an association between PLCG2 expression and amyloid plaque density in three brain regions. It does not establish an association with tau pathology; the Discussion (page not provided) instead reports no increase in Plcg2 expression in a tauopathy mouse model. (LLM, conf=0.90)
Experimental — accuracy not yet measuredPLCG2 is expressed principally by immune cells, including myeloid lineage cells, B cells, and other lymphocytes, and in the brain is inducibly expressed by plaque-associated microglia.
“PLCG2 is expressed principally by immune cells, including myeloid lineage cells, B cells, and other lymphocytes, and in the brain is inducibly expressed by plaque‐associated microglia.”
From PLCG2 modulates TREM2 expression and signaling in response to Alzheimer's disease pathology (2025) · cites this paper as [12]
The Results section on 5xFAD mice reports increased Plcg2 expression that returned to control levels when microglia were reduced; the Discussion links the increase to amyloid plaques and plaque-associated microglia. Our copy does not establish the broader claim that PLCG2 is expressed principally by immune cells, including B cells and other lymphocytes (searched for those cell types). No page numbers were provided. (LLM, conf=0.87)
Experimental — accuracy not yet measuredStudies of PLCG2 haploinsufficiency in mice have revealed that reduced PLCG2 expression impairs expression of inflammation-associated genes.
“Similarly, studies of PLCG2 haploinsufficiency in mice have revealed that reduced PLCG2 expression impairs expression of inflammation‐associated genes.”
From PLCG2 modulates TREM2 expression and signaling in response to Alzheimer's disease pathology (2025) · cites this paper as [12]
The Results (Fig. 4) report that Plcg2-inactivated mice had 39 downregulated genes compared with wild-type mice, and the Discussion identifies reduced expression of AD-associated microglial genes. But the Methods describe a knockout mutation, not a haploinsufficiency model; our copy does not establish that the mice had only one functional Plcg2 copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Alterations in TREM2 and PLCG2 expression are associated with significant transcriptional shifts, including in pathways associated with immunity, metabolism, proliferation, and autophagy.
“Alterations in TREM2 and PLCG2 expression are associated with significant transcriptional shifts, including in pathways associated with immunity, metabolism, proliferation, and autophagy. 12 , 16 , 25 , 39 , 43”
From PLCG2 modulates TREM2 expression and signaling in response to Alzheimer's disease pathology (2025) · cites this paper as [12]
The Discussion reports differentially expressed genes and inflammatory pathways when comparing groups with high and low PLCG2 expression. The Results also identify a proliferation-related pathway in a PLCG2 co-expression analysis. These passages do not establish comparable transcriptional shifts associated with TREM2 expression or identify metabolism- or autophagy-related pathways. (LLM, conf=0.88)
Experimental — accuracy not yet measuredPLCG2 was believed to be almost exclusively expressed in microglia and has been extensively investigated in this cell type.
“this AD risk gene was believed to be almost exclusively expressed in microglia and, as a consequence, it has been extensively investigated in this cell type18–21.”
From PLCG2 downregulation impairs synaptic function and increases Alzheimer’s disease hallmarks in neuronal cultures (2026) · cites this paper as [20]
The Results section ('Plcg2 expression is increased exclusively in microglia in the brains of 5xFAD mice'; page unavailable) reports that the disease-associated increase in expression was exclusive to microglia in that mouse model. The paper also investigates PLCG2 in human microglia, but it does not establish that PLCG2 was believed to be almost exclusively expressed in microglia generally, or that this belief was why the cell type had been extensively investigated. (LLM, conf=0.83)
Experimental — accuracy not yet measuredMissense hypermorphic variants of PLCG2 confer a reduced risk for Alzheimer's disease.
“While missense hypermorphic variants of PLCG2 confer a reduced risk for AD, the mechanistic role that PLCγ2 plays in AD pathogenesis is unclear [44–48].”
From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [47]
The Background states that one hypermorphic PLCG2 variant, rs72824905, is protective against Alzheimer’s disease risk, and says PLCG2’s role remains incompletely understood. It does not identify that variant as missense or establish that multiple hypermorphic variants reduce risk. (LLM, conf=0.85)
Experimental — accuracy not yet measuredPLCG2 regulates the expression of genes governing pathways related to inflammation, lipid metabolism, microglial viability and phagocytosis.
“PLCG2 regulates the expression of genes governing pathways related to inflammation, lipid metabolism, microglial viability and phagocytosis 12,16 .”
From Genetic variants of phospholipase C-γ2 alter the phenotype and function of microglia and confer differential risk for Alzheimer’s disease (2023) · cites this paper as [12]
The Results section on differential expression in cognitively normal adults and Plcg2-inactivated mice identifies inflammation-related gene-expression changes, supporting that part of the claim. The Discussion also describes inflammatory pathways, but the passages do not establish regulation of genes governing lipid metabolism, microglial viability, or phagocytosis. The paper frames the inflammatory finding as suggesting a role for PLCG2, rather than proving direct regulation. (LLM, conf=0.88)
Experimental — accuracy not yet measuredRobust induction of microglial PLCG2 expression was observed in the brains of 5xFAD mice and AD patients.
“Robust induction of microglial PLCG2 expression was observed in the brains of 5xFAD mice and AD patients 12 .”
From Genetic variants of phospholipase C-γ2 alter the phenotype and function of microglia and confer differential risk for Alzheimer’s disease (2023) · cites this paper as [12]
The Results section reports increased Plcg2 expression in 5xFAD mouse brains, and the Discussion describes that increase as microglia-associated. The Results also report increased PLCG2 expression in brain tissue from patients with late-onset AD, but the human analysis used bulk tissue and correlations with microglial markers; it did not directly establish induction specifically in human microglia. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredPLCG2 is a critical participant in the immune response induced by amyloid plaques in AD patients and animal models.
“PLCG2 is a critical participant in the immune response induced by amyloid plaques in AD patients and animal models 35 .”
From Genetic variants of phospholipase C-γ2 alter the phenotype and function of microglia and confer differential risk for Alzheimer’s disease (2023) · cites this paper as [35]
The Discussion reports that PLCG2 expression correlates with amyloid plaques in patients with late-onset AD and is induced by plaques in 5xFAD mice. The Results and Discussion also link PLCG2 to inflammatory-response pathways. But the paper describes its role in those pathways as potential; it does not establish that PLCG2 is a critical participant in the plaque-induced immune response in both patients and animal models. (LLM, conf=0.85)
Experimental — accuracy not yet measuredPLCG2 is an intracellular effector of microglial cell surface receptors, including TREM2.
“Phospholipase C gamma 2 (PLCG2) is an intracellular effector of microglial cell surface receptors, including triggering receptor expressed on myeloid cells 2 (TREM2).”
From PLCG2 modulates TREM2 expression and signaling in response to Alzheimer's disease pathology (2025) · cites this paper as [12]
Previously, PLCG2 expression was shown to be associated with Aβ plaque load and microglia markers AIF1 and TMEM119 in human brains.
“Previously, PLCG2 expression was shown to be associated with Aβ plaque load and the microglia markers AIF1 and TMEM119 in human brains.”
From PLCG2 modulates TREM2 expression and signaling in response to Alzheimer's disease pathology (2025) · cites this paper as [12]
In AD, PLCG2 has been mostly studied in microglia and shown to be implicated in multiple microglia-related signaling pathways.
“In AD, PLCG2 has been mostly studied in microglia and shown to be implicated in multiple microglia-related signaling pathways18–21.”
From PLCG2 downregulation impairs synaptic function and increases Alzheimer’s disease hallmarks in neuronal cultures (2026) · cites this paper as [20]
In AD mice, Plcg2 is highly expressed in plaque-associated microglia, increasing in abundance along the pathological timeline.
“In AD mice, Plcg2 is highly expressed in plaque‐associated microglia, increasing in abundance along the pathological timeline (Tsai et al. 2022; Magno et al. 2019).”
From Alzheimer's Protection by <scp>PLCγ2</scp> Compacts Plaques, Redistributes Microglia, and Protects Synapses in <scp> <i>App</i> <sup> <i>NL</i> </sup> </scp> <sup> <i>‐G‐F</i> </sup> Mice (2026) · cites this paper as Tsai et al. 2022
PLCG2 RNA expression is positively correlated with increased amyloid burden in post-mortem brain tissue of late-onset Alzheimer's disease patients.
“and was positively correlated with increased amyloid burden [47].”
From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [47]
PLCG2 RNA expression is increased in post-mortem brain tissue of late-onset Alzheimer's disease patients.
“PLCG2 RNA expression was found to be increased in post-mortem brain tissue of LOAD patients”
From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [47]
PLCG2 expression is increased in several brain regions in Alzheimer's disease patients and in the 5xFAD mouse model of amyloid pathology.
“PLCG2 expression is increased in several brain regions in AD patients and the well-studied 5xFAD mouse model of amyloid pathology 12 .”
From Genetic variants of phospholipase C-γ2 alter the phenotype and function of microglia and confer differential risk for Alzheimer’s disease (2023) · cites this paper as [12]
PLCG2 is associated with inflammatory response-related pathways in microglial single-cell RNA-seq co-expression network analysis.
“A PLCG2 co-expression network analysis using microglial single-cell RNA-seq data previously revealed that PLCG2 is associated with inflammatory response-related pathways, consistent with studies documenting its critical involvement in the microglial immune response 12 .”
From Genetic variants of phospholipase C-γ2 alter the phenotype and function of microglia and confer differential risk for Alzheimer’s disease (2023) · cites this paper as [12]
The C-terminus of SHIP1 contains a NPxY motif that can bind proteins containing ITIM/ITAM, PTB or SH2 domains, and a proline-rich PxxP motif that contains SH3-binding domains.
“The C-terminus of SHIP1 contains a NPxY motif, which can bind to proteins containing immunoreceptor tyrosine inhibitory motifs (ITIM)/immunoreceptor tyrosine activating motifs (ITAM), phosphotyrosine-binding (PTB) or SH2 domains, as well as a proline-rich PxxP motif that contains SH3-binding domains [47, 93–98] (Fig. 2).”
From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [47]
The Background (page unavailable) describes PLCG2 as a signaling enzyme, not the structure of SHIP1. Searches of our copy for SHIP1, NPxY, PxxP, ITIM/ITAM, PTB, and SH2 found no passage addressing the claimed C-terminal motifs or binding partners. (LLM, conf=0.75)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Mouse time-point lists disagree
MinorThe mice methods list a 1-month time point, whereas the statistical analysis lists a 2-month time point instead.
“One-, 4-, 6-, and 8-month-old mice were used.”
“Experiments at the 2-, 4-, 6- and 8-month time points were performed independently, and statistical comparisons between WT and 5xFAD AD mice were performed by an unpaired t test.”
Cites
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638 · see citing works
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259 · see citing works
Integrated analysis of multimodal single-cell data
Hao, Y., Hao, S., Andersen-Nissen, E., Mauck, W. M., Zheng, S., Butler, A., Lee, M. J., Wilk, A. J., Darby, C., Zagar, M., et al. (2020) · doi:10.1101/2020.10.12.335331 · Cited by 15,508 · see citing works
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493 · see citing works
Krasemann, S., Madore, C., Cialic, R., Baufeld, C., Calcagno, N., El Fatimy, R., Beckers, L., O’Loughlin, E., Xu, Y., Fanek, Z., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.08.008 · Cited by 2,979 · see citing works
Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946 · see citing works
Inferring Regulatory Networks from Expression Data Using Tree-Based Methods
Huynh-Thu, V. A., Irrthum, A., Wehenkel, L., & Geurts, P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012776 · Cited by 2,131 · see citing works
The role of apolipoprotein E in Alzheimer's disease
Kim, J., Basak, J. M., & Holtzman, D. M. (2009) · Neuron · doi:10.1016/j.neuron.2009.06.026 · Cited by 1,661 · see citing works
Alzheimer’s Disease Risk Genes and Mechanisms of Disease Pathogenesis
Karch, C. M., & Goate, A. M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.05.006 · Cited by 1,357 · see citing works
Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Buchman, A. S., Boyle, P. A., Barnes, L. L., Wilson, R. S., & Schneider, J. A. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-179939 · Cited by 1,260 · see citing works
ARUK Consortium, Sims, R., GERAD/PERADES, C., van der Lee, S. J., Naj, A. C., Bellenguez, C., Badarinarayan, N., Jakobsdottir, J., Kunkle, B. W., Boland, A., et al. (2017) · Nature Genetics · doi:10.1038/ng.3916 · Cited by 1,126 · see citing works
Single cell RNA sequencing of human microglia uncovers a subset associated with Alzheimer’s disease
Olah, M., Menon, V., Habib, N., Taga, M. F., Ma, Y., Yung, C. J., Cimpean, M., Khairallah, A., Coronas-Samano, G., Sankowski, R., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19737-2 · Cited by 722 · see citing works
Age, APOE and sex: triad of risk of Alzheimer’s disease.
Riedel, B. C., Thompson, P. M., & Brinton, R. D. (2016) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2016.03.012 · Cited by 627 · see citing works
A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research
De Jager, P. L., Ma, Y., McCabe, C., Xu, J., Vardarajan, B. N., Felsky, D., Klein, H.-U., White, C. C., Peters, M. A., Lodgson, B., et al. (2018) · Scientific Data · doi:10.1038/sdata.2018.142 · Cited by 598 · see citing works
Hopperton, K. E., Mohammad, D., Trépanier, M. O., Giuliano, V, & Bazinet, R. P. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.246 · Cited by 567 · see citing works
Late onset Alzheimer’s disease genetics implicates microglial pathways in disease risk
Efthymiou, A. G., & Goate, A. M. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0184-x · Cited by 562 · see citing works
Dementia incidence continues to increase with age in the oldest old: The 90+ study
Corrada, M. M., Brookmeyer, R., Paganini‐Hill, A., Berlau, D., & Kawas, C. H. (2010) · Annals of Neurology · doi:10.1002/ana.21915 · Cited by 523 · see citing works
Wang, M., Beckmann, N. D., Roussos, P., Wang, E., Zhou, X., Wang, Q., Ming, C., Neff, R., Ma, W., Fullard, J. F., et al. (2018) · Scientific Data · doi:10.1038/sdata.2018.185 · Cited by 502 · see citing works
Reiman, E. M., Arboleda-Velasquez, J. F., Quiroz, Y. T., Huentelman, M. J., Beach, T. G., Caselli, R. J., Chen, Y., Su, Y., Myers, A. J., Hardy, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14279-8 · Cited by 473 · see citing works
Allen, M., Carrasquillo, M. M., Funk, C., Heavner, B. D., Zou, F., Younkin, C. S., Burgess, J. D., Chai, H.-S., Crook, J., Eddy, J. A., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.89 · Cited by 439 · see citing works
TMEM119 marks a subset of microglia in the human brain
Satoh, J., Kino, Y., Asahina, N., Takitani, M., Miyoshi, J., Ishida, T., & Saito, Y. (2016) · Neuropathology · doi:10.1111/neup.12235 · Cited by 434 · see citing works
Tmem119-EGFP and Tmem119-CreERT2 Transgenic Mice for Labeling and Manipulating Microglia
Kaiser, T., & Feng, G. (2019) · eneuro · doi:10.1523/eneuro.0448-18.2019 · Cited by 259 · see citing works
Tmem119-EGFP and Tmem119-CreERT2 transgenic mice for labeling and manipulating microglia
Kaiser, T., & Feng, G. (2019) · doi:10.1101/624825 · Cited by 258
Andreone, B. J., Przybyla, L., Llapashtica, C., Rana, A., Davis, S. S., van Lengerich, B., Lin, K., Shi, J., Mei, Y., Astarita, G., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0650-6 · Cited by 233 · see citing works
Casali, B. T., MacPherson, K. P., Reed-Geaghan, E. G., & Landreth, G. E. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104956 · Cited by 186 · see citing works
Self-citationAlzheimer’s disease phospholipase C-gamma-2 (PLCG2) protective variant is a functional hypermorph
Magno, L., Lessard, C. B., Martins, M., Lang, V., Cruz, P., Asi, Y., Katan, M., Bilsland, J., Lashley, T., Chakrabarty, P., et al. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0469-0 · Cited by 143 · see citing works
Late onset Alzheimer’s disease in older people
Işık, A. T. (2010) · Clinical Interventions in Aging · doi:10.2147/cia.s11718 · Cited by 129 · see citing works
Brain and Bannister's Clinical Neurology, 7th Ed.
Cole, M. (1993) · Neurology · doi:10.1212/wnl.43.1_part_1.241-a · Cited by 126 · see citing works
Tsai, A. P., Lin, P. B.-C., Dong, C., Moutinho, M., Casali, B. T., Liu, Y., Lamb, B. T., Landreth, G. E., Oblak, A. L., & Nho, K. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105303 · Cited by 104 · see citing works
Self-citationHajicek, N., Keith, N. C., Siraliev-Perez, E., Temple, B. R., Huang, W., Zhang, Q., Harden, T. K., & Sondek, J. (2019) · eLife · doi:10.7554/elife.51700 · Cited by 89 · see citing works
The Alzheimer’s disease-associated protective Plcγ2-P522R variant promotes immune functions
Takalo, M., Wittrahm, R., Wefers, B., Parhizkar, S., Jokivarsi, K., Kuulasmaa, T., Mäkinen, P., Martiskainen, H., Wurst, W., Xiang, X., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00402-7 · Cited by 83 · see citing works
Magno, L., Bunney, T. D., Mead, E., Svensson, F., & Bictash, M. N. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00436-5 · Cited by 64 · see citing works
Characterization of Phospholipase Cγ Enzymes with Gain-of-Function Mutations
Everett, K. L., Bunney, T. D., Yoon, Y., Rodrigues-Lima, F., Harris, R., Driscoll, P. C., Abe, K., Fuchs, H., Hrabé de Angelis, M., Yu, P., et al. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.019265 · Cited by 63 · see citing works
(ADNI), A. D. N. I., Kleineidam, L., Chouraki, V., Próchnicki, T., van der Lee, S. J., Madrid-Márquez, L., Wagner-Thelen, H., Karaca, I., Weinhold, L., Wolfsgruber, S., et al. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02138-6 · Cited by 62 · see citing works
Hajicek, N., & Sondek, J. (2019) · Worldwide Protein Data Bank · doi:10.2210/pdb6pbc/pdb · Cited by 58 · see citing works
Reilly, A. M., Tsai, A. P., Lin, P. B., Ericsson, A. C., Oblak, A. L., & Ren, H. (2020) · Nutrients · doi:10.3390/nu12102977 · Cited by 41 · see citing works
Self-citationMaguire, E., Menzies, G. E., Phillips, T., Sasner, M., Williams, H. M., Czubala, M. A., Evans, N., Cope, E. L., Sims, R., Howell, G. R., et al. (2021) · The EMBO Journal · doi:10.15252/embj.2020105603 · Cited by 41 · see citing works
Olive, C., Ibanez, L., Farias, F. H. G., Wang, F., Budde, J. P., Norton, J. B., Gentsch, J., Morris, J. C., Li, Z., Dube, U., et al. (2020) · Journal of Alzheimer’s Disease · doi:10.3233/jad-200019 · Cited by 32 · see citing works
Diesel exhaust impairs TREM2 to dysregulate neuroinflammation
Greve, H. J., Mumaw, C. L., Messenger, E. J., Kodavanti, P. R. S., Royland, J. L., Kodavanti, U. P., & Block, M. L. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-020-02017-7 · Cited by 28 · see citing works
Self-citationHernandez, D., Egan, S. E., Yulug, I. G., & Fisher, E. M. C. (1994) · Genomics · doi:10.1006/geno.1994.1533 · Cited by 22 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Andreone BJ, Przybyla L, Llapashtica C, Rana A, Davis SS, van Lengerich B, et al. Alzheimer's-associated PLCgamma2 is a signaling node required for both TREM2 function and the inflammatory response in human microglia. Nat Neurosci. 2020;23:927–38. · DOI · Paper page
- Tsai AP, Dong C, Lin PB, Messenger EJ, Casali BT, Moutinho M, Liu Y, Oblak AL, Lamb BT, Landreth GE, Bissel SJ, Nho K, et al. PLCG2 is Associated with the Inflammatory Response and is Induced by Amyloid Plaques in Alzheimer's Disease. BioProject, PRJNA801624, NCBI Sequence Read Archive 2022. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE195650.
Cited by
Sorted by citations
Microglia in Alzheimer’s disease: pathogenesis, mechanisms, and therapeutic potentials
Miao, J., Ma, H., Yang, Y., Liao, Y., Lin, C., Zheng, J., Yu, M., & Lan, J. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1201982 · Cited by 293 · see citing works
Inflammation context in Alzheimer’s disease, a relationship intricate to define
Novoa, C., Salazar, P., Cisternas, P., Gherardelli, C., Vera-Salazar, R., Zolezzi, J. M., & Inestrosa, N. C. (2022) · Biological Research · doi:10.1186/s40659-022-00404-3 · Cited by 206 · see citing works
MicroRNAs: pioneering regulators in Alzheimer’s disease pathogenesis, diagnosis, and therapy
Li, Y.-B., Fu, Q., Guo, M., Du, Y., Chen, Y., & Cheng, Y. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03075-8 · Cited by 123 · see citing works
Microglial efferocytosis: Diving into the Alzheimer’s disease gene pool
Romero-Molina, C., Garretti, F., Andrews, S. J., Marcora, E., & Goate, A. M. (2022) · Neuron · doi:10.1016/j.neuron.2022.10.015 · Cited by 111 · see citing works
O’Connor, L. M., O’Connor, B. A., Lim, S. B., Zeng, J., & Lo, C. H. (2023) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2023.06.011 · Cited by 107 · see citing works
Terzioglu, G., & Young-Pearse, T. L. (2023) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00674-9 · Cited by 95 · see citing works
Tsai, A. P., Dong, C., Lin, P. B.-C., Oblak, A. L., Viana Di Prisco, G., Wang, N., Hajicek, N., Carr, A. J., Lendy, E. K., Hahn, O., et al. (2023) · Immunity · doi:10.1016/j.immuni.2023.08.008 · Cited by 71 · see citing works
Self-citationYang, S., Guo, J., Kong, Z., Deng, M., Da, J., Lin, X., Peng, S., Fu, J., Luo, T., Ma, J., et al. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-023-04835-8 · Cited by 62 · see citing works
Deep learning-driven adaptive optics for single-molecule localization microscopy
Zhang, P., Ma, D., Cheng, X., Tsai, A. P., Tang, Y., Gao, H.-C., Fang, L., Bi, C., Landreth, G. E., Chubykin, A. A., et al. (2023) · Nature Methods · doi:10.1038/s41592-023-02029-0 · Cited by 42 · see citing works
Self-citationAlzheimer's disease: The role of proteins in formation, mechanisms, and new therapeutic approaches
Gholami, A. (2023) · Neuroscience Letters · doi:10.1016/j.neulet.2023.137532 · Cited by 51 · see citing works
TREM2 splice isoforms generate soluble TREM2 species that disrupt long-term potentiation
Moutinho, M., Coronel, I., Tsai, A. P., Di Prisco, G. V., Pennington, T., Atwood, B. K., Puntambekar, S. S., Smith, D. C., Martinez, P., Han, S., et al. (2023) · Genome Medicine · doi:10.1186/s13073-023-01160-z · Cited by 42 · see citing works
“TREM2 expression analysis using AMP‐AD datasets The generation of RNA-Seq data in the Accelerating Medicines Partnership for Alzheimer’s Disease Consortium (AMP-AD) and demographic information has been previously described in detail [33].”
MethodSelf-citationGao, C., Shen, X., Tan, Y., & Chen, S. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02580-1 · Cited by 43 · see citing works
Microglial phagocytosis in Alzheimer disease
Brown, G. C., St George-Hyslop, P., Paolicelli, R. C., & Lemke, G. (2026) · Nature Reviews Neurology · doi:10.1038/s41582-025-01162-y · Cited by 36 · see citing works
Oumata, N., Lu, K., Teng, Y., Cavé, C., Yu, P., Galons, H., & Roques, B. P. (2022) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2022.114578 · Cited by 36 · see citing works
Roy, N., Haq, I., Ngo, J. C., Bennett, D. A., Teich, A. F., Jager, P. L. D., Olah, M., & Sher, F. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02835-6 · Cited by 35 · see citing works
Comprehensive review on single-cell RNA sequencing: A new frontier in Alzheimer's disease research
Jin, W., Pei, J., Roy, J. R., Jayaraman, S., Ahalliya, R. M., Kanniappan, G. V., Mironescu, M., & Palanisamy, C. P. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102454 · Cited by 30 · see citing works
Lavekar, S. S., Harkin, J., Hernandez, M., Gomes, C., Patil, S., Huang, K.-C., Puntambekar, S. S., Lamb, B. T., & Meyer, J. S. (2023) · Scientific Reports · doi:10.1038/s41598-023-40382-4 · Cited by 24 · see citing works
Self-citationImmune dysfunction in Alzheimer disease
Butovsky, O., Rosenzweig, N., Kleemann, K. L., Jorfi, M., Kuchroo, V. K., Tanzi, R. E., & Weiner, H. L. (2025) · Nature reviews. Neuroscience · doi:10.1038/s41583-025-00997-0 · Cited by 34 · see citing works
Zhao, Y., Guo, Q., Tian, J., Liu, W., & Wang, X. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102596 · Cited by 22 · see citing works
Protective genetic variants against Alzheimer's disease
Mariño, C., Malotaux, V., Giudicessi, A., Aguillon, D. F., Falla, D. S., Lopera, F. J., & Quiroz, Y. T. (2025) · The Lancet Neurology · doi:10.1016/s1474-4422(25)00116-4 · Cited by 20 · see citing works
Unraveling Psychiatric Disorders through Neural Single-Cell Transcriptomics Approaches
Chehimi, S. N., Crist, R. C., & Reiner, B. C. (2023) · Genes · doi:10.3390/genes14030771 · Cited by 19 · see citing works
Zhang, Z., Ji, R., Liu, Z., Jiang, Z., Chu, M., Wang, Y., & Zhao, J. (2025) · Journal of Nanobiotechnology · doi:10.1186/s12951-025-03652-z · Cited by 21 · see citing works
Spatial and single-cell transcriptomics reveal the reorganization of cerebellar microglia with aging
Tsai, A. P., Henze, D. E., Lopez, E. R., Haberberger, J., Dong, C., Lu, N., Atkins, M., Costa, E. K., Farinas, A., Oh, H. S., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116624 · Cited by 22 · see citing works
Self-citationPLCG2 modulates TREM2 expression and signaling in response to Alzheimer's disease pathology
Messenger, E. J., Baar, S. A., Bedford, L. M., Tsai, A. P., Lin, P. B., Ferguson, C. A., Xu, G., Wallace, A., Landreth, G. E., Lamb, B. T., et al. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70231 · Cited by 16 · see citing works
“12 To assess whether the relationship we observed between PLCG2 and TREM2 in 5xFAD mice translates to human brains, we used bulk RNA-seq data collected by the MSBB study.”
InfluentialSelf-citationVilla-Roel, N., Park, C., Andueza, A., Baek, K., Su, A. J., Blaser, M., Leshnower, B. G., Yoganathan, A., Aikawa, E., & Jo, H. (2024) · Genes · doi:10.3390/genes15121623 · Cited by 15 · see citing works
Duan, Y., Li, H., Li, J., Bai, S., Fu, S., Zhou, Y., Liu, S., Li, R., Liu, H., Zhou, C., et al. (2024) · Frontiers in Marine Science · doi:10.3389/fmars.2024.1448313 · Cited by 16 · see citing works
CYP1B1-RMDN2 Alzheimer’s disease endophenotype locus identified for cerebral tau PET
Nho, K. T., Risacher, S. L., Apostolova, L. G., Bice, P. J., Brosch, J. R., Deardorff, R. L., Faber, K. M., Farlow, M. R., Foroud, T., Gao, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52298-2 · Cited by 22 · see citing works
Self-citationHe, S., Qiu, S., Pan, M., Palavicini, J. P., Wang, H., Li, X., Bhattacharjee, A., Barannikov, S., Bieniek, K. F., Dupree, J. L., et al. (2023) · Clinical and Translational Medicine · doi:10.1002/ctm2.1332 · Cited by 12 · see citing works
Unraveling the transcriptomic landscape of brain vascular cells in dementia: A systematic review
Sewell, M. D. E., Fialova, N., & Montagne, A. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14512 · Cited by 11 · see citing works
Xu, G., Zhang, W., Yang, J., Sun, N., & Qu, X. (2023) · Scientific Reports · doi:10.1038/s41598-023-50488-4 · Cited by 11 · see citing works
In vivo validation of late‐onset Alzheimer's disease genetic risk factors
Sasner, M., Preuß, C., Pandey, R. S., Uyar, A., Garceau, D. T., Kotredes, K. P., Williams, H. M., Oblak, A. L., Lin, P. B., Perkins, B. M., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13840 · Cited by 11 · see citing works
Self-citationLona‐Durazo, F., Reynolds, R. H., Scholz, S. W., Ryten, M., & Taliun, S. A. G. (2023) · Communications Biology · doi:10.1038/s42003-023-05113-5 · Cited by 10 · see citing works
Apiraksattayakul, S., Pingaew, R., Prachayasittikul, V., Ruankham, W., Tantimongcolwat, T., Prachayasittikul, V., Prachayasittikul, S., & Phopin, K. (2024) · Neurochemical Research · doi:10.1007/s11064-024-04281-y · Cited by 10 · see citing works
Zhang, Q., Liu, J., Liu, H., Ao, L., Yang, X., & Chen, D. (2024) · Scientific Reports · doi:10.1038/s41598-024-54541-8 · Cited by 9 · see citing works
Li, Y., Zhang, J., Ma, B., Yu, W., Xu, M., Luan, W., Yu, Q., Zhang, L., Rong, R., Fu, Y., et al. (2024) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2024.124786 · Cited by 9 · see citing works
Bedford, L. M., Tutrow, K. D., Hooper, K., Messenger, E. J., Hernandez, M., Lamb, B. T., Meyer, J. S., Richardson, T. I., & Bissel, S. J. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70772 · Cited by 8 · see citing works
“11,12 PLCG2 is involved in regulating microglial activation and function by mediating receptor signaling.”
Self-citationMa, K., Nakajima, H., Basak, N., Barman, A., & Ratnapriya, R. (2025) · npj Genomic Medicine · doi:10.1038/s41525-025-00507-2 · Cited by 8 · see citing works
Gao, W., Kong, W., Wang, S., Wen, G., & Yu, Y. (2022) · Brain Sciences · doi:10.3390/brainsci12091196 · Cited by 9 · see citing works
Zhang, X., Ma, L., Liu, M., Zhu, T., Huang, Z., Xiong, Y., Wang, Z., & Shi, J. (2023) · Brain Research · doi:10.1016/j.brainres.2023.148477 · Cited by 8 · see citing works
Robinson, M. J., Newbury, S., Singh, K., Leonenko, Z., & Beazely, M. A. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230753 · Cited by 8 · see citing works
Overexpression of PLCG2 and TMEM38A inhibit tumor progression in clear cell renal cell carcinoma
Zhao, Y., Yang, L., Bai, X., Du, L., Lai, H., Liu, Y., Chen, P., DiSanto, M. E., & Zhang, X. (2025) · Scientific Reports · doi:10.1038/s41598-025-86644-1 · Cited by 8 · see citing works
Self-citationZhang, X., Wang, R., Pan, X., Chen, Z., Li, Y., Hu, Y., Liu, F., & Cao, X. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-04820-w · Cited by 8 · see citing works
Glial Cells in Alzheimer’s Disease: Pathogenic Mechanisms and Therapeutic Frontiers
Sil, M., Mukherjee, N., Chatterjee, I., Ghosh, A., & Goswami, A. (2025) · Journal of Molecular Neuroscience · doi:10.1007/s12031-025-02379-8 · Cited by 8 · see citing works
Single Cell Sequencing Technology and Its Application in Alzheimer’s Disease
Han, Y., Huang, C., Pan, Y., & Gu, X. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-230861 · Cited by 7 · see citing works
Yu, J., Li, R., Ban, Y., Zhang, W., Kong, N., Tang, J., Ma, B., Shao, Y., Jin, R., Sun, L., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-74261-3 · Cited by 6 · see citing works
Wang, R., Li, J., Li, X., Guo, Y., Chen, P., & Tian, P. (2025) · Reviews in the Neurosciences · doi:10.1515/revneuro-2025-0013 · Cited by 7 · see citing works
Irfan, M., Solbiati, J., Duran-Pinedo, A. E., Rocha, F. G., Gibson, F. C., & Frias‐Lopez, J. (2024) · mSystems · doi:10.1128/msystems.01231-23 · Cited by 6 · see citing works
Kloske, C. M., Mahinrad, S., Barnum, C. J., Batista, A. F., Bradshaw, E. M., Butts, B., Carrillo, M. C., Chakrabarty, P., Chen, X., Craft, S., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14291 · Cited by 6 · see citing works
Self-citationPPY‐Induced iCAFs Cultivate an Immunosuppressive Microenvironment in Pancreatic Cancer
Cao, M.-D., Peng, W., Cheng, B., Wang, R., Chen, W., Liu, L.-Y., Huang, H., Chen, S.-R., Cui, H.-C., Liang, J.-W., et al. (2025) · Advancement of science · doi:10.1002/advs.202413432 · Cited by 9 · see citing works
Tijms, B. M., Vromen, E. M., Mjaavatten, O., Holstege, H., Reus, L. M., van der Lee, S., Wesenhagen, K. E., Lorenzini, L., Vermunt, L., Venkatraghavan, V., et al. (2023) · doi:10.1101/2023.05.10.23289793 · Cited by 10 · see citing works
Identification of Potential Diagnostic Biomarkers of Carotid Atherosclerosis in Obese Populations
Wu, X., Pan, J., Pan, X., Kang, J., Ren, J., Huang, Y., Gong, L., & Li, Y. (2025) · Journal of Inflammation Research · doi:10.2147/jir.s504480 · Cited by 5 · see citing works
Yang, L., Zhu, L., Lin, B., Shi, Y., Lai, W., Li, K., Tian, L., Xi, Z., & Liu, H. (2025) · Toxics · doi:10.3390/toxics13040231 · Cited by 5 · see citing works
Advancements in Single-Cell RNA Sequencing Research for Neurological Diseases
Yang, B., Hu, S., Jiang, Y., Xu, L., Shu, S., & Zhang, H. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04126-3 · Cited by 6 · see citing works
Missense and loss‐of‐function variants at GWAS loci in familial Alzheimer's disease
Gunasekaran, T. I., Reyes‐Dumeyer, D., Faber, K. M., Goate, A., Boeve, B. F., Cruchaga, C., Pericak‐Vance, M. A., Haines, J. L., Rosenberg, R. N., Tsuang, D. W., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14221 · Cited by 4 · see citing works
Multi-omics analyses reveal novel effects of PLCγ2 deficiency in the mouse brain
Hopp, S. C., Rogers, J. G., Smith, S., Campos, G., Miller, H., Barannikov, S., Kuri, E. G., Wang, H., Han, X., Bieniek, K. F., et al. (2023) · doi:10.1101/2023.12.06.570499 · Cited by 4 · see citing works
“PLCG2 expression has also been associated with both amyloid and tau pathology (4, 11).”
BackgroundResultVastrad, B. M., & Vastrad, C. M. (2024) · Egyptian Journal of Medical Human Genetics · doi:10.1186/s43042-024-00572-9 · Cited by 4 · see citing works
Baumgartner, A. M., Robinson, M., Ertekin‐Taner, N., Golde, T. E., Jayadev, S., Huang, S., Hadlock, J., & Funk, C. C. (2025) · Communications Biology · doi:10.1038/s42003-025-07594-y · Cited by 4 · see citing works
Carr, A. J., Hajicek, N., Tsai, A. P., Acharya, P. P., Hardy, P. B., Meyer, E. G., Wyss‐Coray, T., Pearce, K. H., Sondek, J., & Zhang, Q. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.108356 · Cited by 5 · see citing works
Self-citationChen, S., Zhou, C., Dai, J., Xu, Q., Chen, Y., Hu, Z., Wang, Y., & Wang, C. (2024) · Current Cancer Drug Targets · doi:10.2174/0115680096307100240801095132 · Cited by 4 · see citing works
Nho, K. T., Risacher, S. L., Apostolova, L. G., Bice, P. J., Brosch, J. R., Deardorff, R. L., Faber, K. M., Farlow, M. R., Foroud, T., Gao, S., et al. (2023) · medRxiv · doi:10.1101/2023.02.27.23286048 · Cited by 4 · see citing works
Self-citationCoulon, A., Rabiller, F., Takalo, M., Roy, A., Pelletier, A., Martiskainen, H., Siedlecki-Wullich, D., Lannette-Weimann, N., Majerníková, N., Grenon, A., et al. (2024) · doi:10.1101/2024.04.29.591575 · Cited by 3 · see citing works
Xu, H., Li, B., Lv, P., Chen, Y., Lin, Y., Zhang, A., Zhao, J., Zhou, G., & Wu, L. (2025) · Cancer Innovation · doi:10.1002/cai2.70004 · Cited by 3 · see citing works
Robert, A., McQuade, A., Hertog, S. K.-D., Erlebach, L., Kronenberg‐Versteeg, D., Kampmann, M., Giera, M. A., & van der Kant, R. (2026) · Stem Cell Reports · doi:10.1016/j.stemcr.2025.102779 · Cited by 2 · see citing works
Tian, M., Huang, J., Xiao, H., Jiang, P., Ma, X., Lin, Y., Tang, X., Wang, Y., Dai, M., Tong, W., et al. (2024) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2024.1487364 · Cited by 2 · see citing works
Plaque attack by microglial PLCγ2
Comer, A. L., & Hammond, T. R. (2023) · Immunity · doi:10.1016/j.immuni.2023.08.012 · Cited by 2 · see citing works
mosGraphFlow: a novel integrative graph AI model mining disease targets from multi-omic dataPreprint
Zhang, H., Cao, D., Xu, T., Chen, E., Li, G., Chen, Y., Payne, P., Province, M. A., & Li, F. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.01.606219 · Cited by 2 · see citing works
Vastrad, B. M., & Vastrad, C. M. (2025) · Research Square · doi:10.21203/rs.3.rs-7537007/v1 · Cited by 2 · see citing works
Coulon, A., Rabiller, F., Takalo, M., Roy, A., Pelletier, A., Martiskainen, H., Siedlecki-Wullich, D., Lannette-Weimann, N., Majerníková, N., Grenon, A., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02709-5 · Cited by 1 · see citing works
Bevan, R. J., Maguire, E., Mackinnon, E., Salis, E., Phillips, T., Simonazzi, E., Vassileva, M., Allen, N. D., Williams, J., & Taylor, P. R. (2026) · Glia · doi:10.1002/glia.70192 · Cited by 1 · see citing works
Causal associations between neuroinflammation and Alzheimer's disease risk
Lin, K., & Yu, Y. (2022) · International Conference on Bioinformatics and Biomedical Science (ICBBS) · doi:10.1145/3571532.3571536 · Cited by 1 · see citing works
Autoimmunity and Frontotemporal Lobar Degeneration: From Laboratory Study to Clinical Practice
Sun, Y., Zhang, L., Liu, P., & Peng, G. (2023) · Clinical Interventions in Aging · doi:10.2147/cia.s394286 · Cited by 1 · see citing works
Ruíz Moleón, V., Fotouhi, M., Alende, C., Ayoubi, R., Bedford, L. M., Southern, K., Richardson, T. I., Laflamme, C., NeuroSGC/YCharOS/EDDU collaborative group, & ABIF consortium (2024) · F1000Research · doi:10.12688/f1000research.146156.1 · Cited by 1 · see citing works
Lona‐Durazo, F., Reynolds, R. H., Scholz, S. W., Ryten, M., & Taliun, S. A. G. (2022) · medRxiv · doi:10.1101/2022.12.07.22283179 · Cited by 1 · see citing works
Gutierrez-Kuri, E., Marie Garcia-Rogers, J. L., Perez, J., Smith, S., Kenwood, M. R., Archuleta, K. S., Xiao, Y., Campos, G., Barannikov, S., Wang, H., et al. (2026) · doi:10.64898/2026.07.13.738356
RISTORI, A. G. R. , Delgado, C. T. C., Mendez, F. G., Reyes, S. O. L., & Yamazaki‐Nakashimada, M. A. (2023) · Acta Pediátrica de México · doi:10.18233/apm.v44i6.2845
To what extent does PLCG2 expression have a positive impact on AD
Han, Y. (2024) · MedScien · doi:10.61173/zfeq9m97
Baumgartner, A. M., Robinson, M., Golde, T. E., Jaydev, S., Huang, S., Hadlock, J., & Funk, C. C. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.21.599924
Systems genetic dissection of Alzheimer’s disease brain gene expression networksPreprint
Zhao, P., Fadel, O. E., Le, A., Mangleburg, C. G., Dhindsa, J. S., Wu, T., Zhao, J., Huang, M., Amoh, B. K., Marella, A. S., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.04.616661
A resource for extracellular vesicles from activated CD4 T cells that relay pro-inflammatory signalsPreprint
Jainarayanan, A., Mahla, R. S., Capera, J., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.15.618584
Decoding the Involvement of miRNAs in Alzheimer’s Disease: Focus on Neuroinflammation
Yadav, S., & Wojda, U. (2025) · RNA technologies · doi:10.1007/978-3-031-91072-2_14
Sherman, E., Qiu, K., Roberts, R., Shichman, L., Li, S., Sun, H., Ide, L., Tucker, A., Lee, S., Gniadzik, W., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.17.683162
Moutinho, M., Coronel, I., Tsai, A. P., Prisco, G. V. D., Pennington, T., Atwood, B. K., Puntambekar, S. S., Smith, D. C., Martínez, P., Han, S., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22599133
Self-citationCore Activation Program and Selective Regional Responsiveness of Microglia in Aging and Parabiosis
Naz, H. U., Pálovics, R., Yamada, S., Lu, N., Wyss‐Coray, T., Li, Q., & Zhao, G. (2025) · Alzheimer s & Dementia · doi:10.1002/alz70855_106438
Владимирович, С. В., & Shubin, L. B. (2025) · Ural Medical Journal · doi:10.52420/umj.24.6.103
CDMI-NTDI: Cancer driver module identification via network topology and deep interaction features
Wu, J., Huang, Y., Li, G., et al. (2026) · Neurocomputing · doi:10.1016/j.neucom.2025.132568
Vastrad, B. M., Pattanashetti, S., Sadashivanavar, V., Pai, K. S. R., & Vastrad, C. M. (2026) · Molecular Diversity · doi:10.1007/s11030-025-11453-7
PLCG2 signaling and genetic resilience in Alzheimer’s disease
Tsai, A. P., Martin, A. K., Mi, A., Yeh, A. E., Ramirez Lopez, E., & Wyss-Coray, T. (2026) · Molecular Neurodegeneration · doi:10.1186/s13024-026-00935-3
Self-citationCastelot, R. (2024) · theses.fr (ABES) · doi:10.70675/c2a7ce1ez8caaz4593zbb3azae8add8055b5
Phosphoinositide turnover through PLCγ regulates Draper-dependent engulfment in gliaPreprint
Storer, F., MacKinnon, E. A., Clarke, H., Maddison, D. C., Amadio, L., Susobhanan, T., Malik, B. R., Peters, O. M., & Smith, G. A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.04.729572
Naz, H., Lu, N., Escoubas, C. C., Sager, L., Xiong, J., Pálovics, R., Yamada, S., Molofsky, A. V., Wyss‐Coray, T., Li, Q., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117919
Single-Cell RNA Sequencing Reveals Immune Dysregulation and Candidate Drug Targets in Endometriosis
Rezk, M., Kazemi, M., Gyunesh, A. A., Bryant, S. D., Oppelt, P., Hamzic-Jahic, E., Reisinger, D., Kapper, C., Demmel, D., Lackner, A., et al. (2026) · Cells · doi:10.3390/cells15181702
Li, K., Ran, B., Wang, Y., Liu, L., & Li, W. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.999061 · Cited by 18 · see citing works
- Authors
- Tsai, A. P., Dong, C., Lin, P. B.-C., Messenger, E. J., Casali, B. T., Moutinho, M., Liu, Y., Oblak, A. L., Lamb, B. T., Landreth, G. E., Bissel, S. J., & Nho, K.
- Affiliations
- Indiana University School of Medicine
- Indiana University Indianapolis (US)
- Corresponding author
- Bissel, Stephanie J.
- Nho, Kwangsik
- ORCID
- Venue
- Genome Medicine
- Published
- 2022-02-18
- Volume
- 14
- Issue
- 1
- Pages
- 17-17
- ISSN
- 1756-994X (ISSN-L)
- PMC
- PMC8857783
- OpenAlex
- W4213162357
- Cited by
- 92
- References
- 42
- Citations by year
- 2026: 8 · 2025: 24 · 2024: 29 · 2023: 22 · 2022: 9
- FWCI
- 10.75
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome Medicine (publishedVersion, cc-by)
- PubMed (publishedVersion)
- IUScholarWorks (Indiana University) (submittedVersion, cc-by)
- PubMed Central (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institute on Aging (RF1 AG051495, RF1 AG050597, U54 AG054345, K01 AG054753, R03 AG063250, RF1 AG074566)
- National Center for Advancing Translational Sciences (UL1TR002529)
- U.S. National Library of Medicine (R01 LM012535)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- PLCγ2, Alzheimer's disease, amyloid plaques, microglial activation, microglia, neuroinflammation, 5xFAD mice, NF-κB signaling, lipopolysaccharide response, AIF1, TMEM119, gene expression, single-cell RNA sequencing, co-expression network analysis, late-onset Alzheimer's disease
- MeSH terms
- Aged, Alzheimer Disease, Animals, Disease Models, Animal, Humans, Mice, Transgenic, Microglia, Mice, Phospholipase C gamma, Plaque, Amyloid
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-18.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-18.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review