The Transcriptional Landscape of Microglial Genes in Aging and Neurodegenerative Disease
Open accessAbstract
Microglia, the brain-resident myeloid cells, are strongly implicated in Alzheimer’s disease (AD) pathogenesis by human genetics. However, the mechanisms by which microglial gene expression is regulated in a region-specific manner over the course of normal aging and in neurodegenerative disease are only beginning to be deciphered. Herein, we used a specific marker of microglia (TMEM119) and a cell-type expression profiling tool (CellMapper) to identify a human microglial gene expression module. Surprisingly, we found that microglial module genes are robustly expressed in several healthy human brain regions known to be vulnerable in AD, in addition to other regions affected only later in disease or spared in AD. Surveying the microglial gene set for differential expression over the lifespan in mouse models of AD and a related tauopathy revealed that the majority of microglial module genes were significantly upregulated in cortex and hippocampus as a function of age and transgene status. Extending these results, we also observed significant upregulation of microglial module genes in several AD-affected brain regions in addition to other regions using postmortem brain tissue from human AD samples. In pathologically confirmed AD cases, we found preliminary evidence that microglial genes may be dysregulated in a sex-specific manner. Finally, we identified specific and significant overlap between the described microglial gene set—identified by unbiased co-expression analysis—and genes known to impart risk for AD. Our findings suggest that microglial genes show enriched expression in AD-vulnerable brain regions, are upregulated during aging and neurodegeneration in mice, and are upregulated in pathologically affected brain regions in AD. Taken together, our data-driven findings from multiple publicly accessible datasets reemphasize the importance of microglial gene expression alterations in AD and, more importantly, suggest that regional and sex-specific variation in microglial gene expression may be implicated in risk for and progression of neurodegenerative disease.
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Written from the paper’s full text.
TL;DR
Using TMEM119 and CellMapper, the authors derived a 30-gene human microglial expression module and found it enriched in several AD-vulnerable brain regions, upregulated with age and transgene status in mouse models, and upregulated in AD-affected human brain regions. The module also showed AD-specific genetic enrichment and preliminary sex-specific dysregulation in pathologically confirmed AD.
Key findings
- CellMapper with TMEM119 identified 30 microglial genes at pFDR < 0.05; 11 remained significant at pFDR < 0.01 (IGSF6, ADORA3, ALOX5AP, CSF2RA, HPGDS, P2RY13, ACY3, SUSD3, SASH3, TBXAS1, RASAL3).
- In healthy human brain, microglial genes were significantly enriched in 48 of 194 testable regions at pFDR < 0.05, including parietal cortex, temporal cortex regions, basal ganglia, and brainstem nuclei; cerebellum and occipital cortex showed minimal enrichment.
- In mouse models, 16/20 orthologous microglial genes differed by brain region in TASTPM and 14/20 in P301L; age effects were seen for 15/20 genes, and transgene-status effects for 15/20 in TASTPM and 6/20 in P301L.
- In human AD tissue from 584 individuals, microglial genes were upregulated in superior temporal cortex (22/24 genes), parahippocampal gyrus (19/24), inferior frontal gyrus (14/24), and temporal cortex (13/26), with fewer changes in frontal pole (1/24) and DLPFC (3/21); AD was the only disease enriched among >3,000 traits in FUMA (raw p = 8.87 × 10−6; FDR p = 0.017).
Methods
- Microglial genes were identified using CellMapper with TMEM119 in bulk human brain data from the Allen Brain Institute (6 adult control samples), then tested for regional enrichment using bootstrapping and FDR correction.
- Mouse analyses used Mouseac microarray data from TASTPM and P301L transgenic models versus wild type at 8, 16, 32, and 72 weeks across cortex, hippocampus, and cerebellum; ANOVA used a Bonferroni threshold of p = 0.000357.
- Human AD analyses used RNAseq from AMP-AD MSSM, Mayo, and ROSMAP cohorts (over 500 individuals; 584 in combined analyses), with linear regression controlling for sex, age, postmortem interval, and technical confounders; FUMA hypergeometric testing assessed AD risk-gene enrichment.
Limitations
- The paper states that bulk tissue cannot distinguish increased microglial density from altered microglial transcription, and that scRNAseq data from finely dissected human brain regions showing upregulation were not available.
- The authors state that pooling multiple public cohorts required batch-effect and covariate correction and still could not fully disentangle whether findings were AD-specific, driven by microglial density, or both; some relevant regions were unavailable.
- The authors note mouse models carry familial mutations and may not reflect sporadic disease, TASTPM lacks neurofibrillary tangles, and CellMapper was designed for microarray data and requires validated, highly specific cell markers; sex-specific findings were described as preliminary with modest effect size.
Model-written summary. Check it against the paper before relying on it.
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- Findingown data
With a stricter significance threshold of pFDR < 0.01, 11 of the microglial genes remained significant: IGSF6, ADORA3, ALOX5AP, CSF2RA, HPGDS, P2RY13, ACY3, SUSD3, SASH3, TBXAS1, and RASAL3.
“Using a stricter significance threshold of pFDR < 0.01, 11 genes remained significant (IGSF6, ADORA3, ALOX5AP, CSF2RA, HPGDS, P2RY13, ACY3, SUSD3, SASH3, TBXAS1, and RASAL3).”
Quote in the paperNot a substantial claim - Findingown data
The described microglial gene set, identified by unbiased co-expression analysis, shows specific and significant overlap with genes known to impart risk for AD.
“Finally, we identified specific and significant overlap between the described microglial gene set—identified by unbiased co-expression analysis—and genes known to impart risk for AD.”
Quote in the paperSubstantial claim - Findingown data
In mouse models of AD and a related tauopathy, the majority of microglial module genes were significantly upregulated in cortex and hippocampus as a function of age and transgene status.
“Surveying the microglial gene set for differential expression over the lifespan in mouse models of AD and a related tauopathy revealed that the majority of microglial module genes were significantly upregulated in cortex and hippocampus as a function of age and transgene status.”
Quote in the paperSubstantial claim - Findingown data
In healthy human brain tissue, the microglial gene set showed significant enrichment in 48 out of 194 testable brain regions at pFDR < 0.05.
“Our analyses revealed significant enrichment in 48 out of 194 testable brain regions at a pFDR < 0.05 (Table 4, Figure 1).”
Quote in the paperSubstantial claim - Findingown data
Microglial gene enrichment in healthy human brain is particularly notable in the parietal cortex, areas of the temporal cortex (e.g., temporal pole, parahippocampal gyrus, amygdalohippocampal transition), basal ganglia (e.g., putamen and globus pallidus), and brainstem nuclei (e.g., vestibular nuclei, pontine nuclei, and paraventricular nuclei).
“Of note, enrichment was particularly notable in the parietal cortex, areas of the temporal cortex (e.g., temporal pole, parahippocampal gyrus, amygdalohippocampal transition), basal ganglia (e.g., putamen and globus pallidus), and brainstem nuclei (e.g., vestibular nuclei, pontine nuclei, and paraventricular nuclei) (Table 4, Figure 1).”
Quote in the paperSubstantial claim
- Findingown data
Using CellMapper and TMEM119 as a marker of native microglia, the study identified 30 additional genes associated with a microglial gene expression profile at pFDR < 0.05.
“Using CellMapper and TMEM119 as a marker of native microglia, we identified 30 additional genes associated with a microglial gene expression profile (Table 2; pFDR < 0.05).”
- Also stated in: § Abstract · plain
“we used a specific marker of microglia (TMEM119) and a cell-type expression profiling tool (CellMapper) to identify a human microglial gene expression module.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
In postmortem human AD samples, microglial module genes were significantly upregulated in several AD-affected brain regions in addition to other regions.
“Extending these results, we also observed significant upregulation of microglial module genes in several AD-affected brain regions in addition to other regions using postmortem brain tissue from human AD samples.”
Quote in the paperSubstantial claim - Findingown data
In pathologically confirmed AD cases, there is preliminary evidence that microglial genes may be dysregulated in a sex-specific manner.
“In pathologically confirmed AD cases, we found preliminary evidence that microglial genes may be dysregulated in a sex-specific manner.”
Quote in the paperNot a substantial claim - Findingown data
In healthy human brain, both the cerebellum and occipital cortex showed minimal microglial gene enrichment.
“Notably, both the cerebellum and occipital cortex showed minimal microglial gene enrichment.”
Quote in the paperNot a substantial claim - Findingown data
Microglial module genes are robustly expressed in several healthy human brain regions known to be vulnerable in AD, in addition to other regions affected only later in disease or spared in AD.
“Surprisingly, we found that microglial module genes are robustly expressed in several healthy human brain regions known to be vulnerable in AD, in addition to other regions affected only later in disease or spared in AD.”
Quote in the paperSubstantial claim - Findingown data
Microglial gene expression differed by sex amongst those diagnosed with AD, with significant upregulation in superior temporal cortex (20 of 24 genes in females and 11 of 24 genes in males).
“superior temporal cortex (20 of 24 genes in females and 11 of 24 genes in males)”
Quote in the paperNot a substantial claim - Findingown data
AD was the only disease enriched for the 30 microglial genes identified using gene expression profiling in healthy controls (raw p = 8.87 × 10-6; FDR corrected p = 0.017; testing against over 3,000 unique diseases and traits).
“we found that AD was, in fact, the only disease enriched (raw p = 8.87 × 10–6; FDR corrected p = 0.017; Figure S4; testing against over 3,000 unique diseases and traits) for the 30 microglial genes we identified using gene expression profiling in healthy controls.”
Quote in the paperSubstantial claim - Findingown data
Other structures implicated in combined-sex AD analyses show similar expression profiles in both sexes, like parahippocampal gyrus (8 of 24 genes in females and 7 of 24 genes in males).
“and parahippocampal gyrus (8 of 24 genes in females and 7 of 24 genes in males)”
Quote in the paperNot a substantial claim - Findingown data
Considering transgene status without regard to age or brain region, 6/20 microglial genes (30%) were altered in P301L.
“and that 6/20 microglial genes (30%) were altered in P301L (Table 6).”
Quote in the paperNot a substantial claim - Findingown data
Regions typically spared until very late in disease showed fewer significant differences: DLPFC (3 of 21 genes).
“and DLPFC (3 of 21 genes)”
Quote in the paperSubstantial claim - Findingown data
In both TASTPM and P301L models, expression of microglial genes increased across the lifespan, especially for cortex and hippocampus with more modest changes in cerebellar tissue.
“In both the TASTPM (A–F) and P301L (G–I) models, expression of microglial genes increased across the lifespan, especially for cortex and hippocampus with more modest changes in cerebellar tissue.”
Quote in the paperSubstantial claim - Findingown data
In this study we successfully identified 30 microglial genes with expression profiles significantly related to the well-established microglial marker, TMEM119.
“In this study we successfully identified 30 microglial genes with expression profiles significantly related to the well-established microglial marker, TMEM119.”
Quote in the paperSubstantial claim - Findingown data
In the TASTPM mouse model, 16/20 microglial genes (80%) showed significant differences by brain region compared to WT, using a Bonferroni correction p = 0.000357.
“Using a strict Bonferroni correction for multiple testing (p = 0.000357), 16/20 microglial genes (80%) showed significant differences by brain region in the TASTPM mouse model data (including both homozygote and heterozygote mutation carriers, and accounting for gene dosage) combined with WT data (Table 5, Figure 2A)”
Quote in the paperSubstantial claim - Findingown data
Other structures implicated in combined-sex AD analyses show similar expression profiles in both sexes, like inferior frontal gyrus (8 of 24 genes in females and 10 of 24 genes in males).
“Of note, other structures implicated in our combined-sex AD analyses show similar expression profiles in both sexes like inferior frontal gyrus (8 of 24 genes in females and 10 of 24 genes in males)”
Quote in the paperNot a substantial claim - Findingown data
Microglial gene expression was enriched in multiple brain regions, some of which are implicated in Alzheimer's disease (AD), such as the parahippocampal gyrus, temporal pole, fusiform gyrus, and amygdalohippocampal transition zone.
“Interestingly, microglial gene expression was enriched in multiple brain regions, some of which are implicated in Alzheimer's disease (AD), such as the parahippocampal gyrus, temporal pole, fusiform gyrus, and amygdalohippocampal transition zone.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Linker, 2018, BrainImageR: spatiotemporal gene set analysis referencing the human brain, Bioinformatics source
Not checked in the free run.
- Findingown data
Considering transgene status without regard to age or brain region, 15/20 microglial genes (75%) were significantly different in TASTPM.
“Considering transgene status without regard to age or brain region (all ages and regions combined) showed that 15/20 microglial genes (75%) were significantly different in TASTPM (Table 5)”
Quote in the paperSubstantial claim - Findingown data
Five out of 6 genes identified in the P301L mouse model (Cd33, Fcer1g, C1qb, C3, and Tlr7) overlapped with genes upregulated in the TASTPM model.
“Five out of 6 genes identified in the P301L mouse model (Cd33, Fcer1g, C1qb, C3, and Tlr7) overlapped with genes upregulated in the TASTPM model.”
Quote in the paperNot a substantial claim - Findingown data
All 14 genes identified in the P301L mouse model overlapped with the genes identified in the TASTPM model.
“All 14 genes identified in the P301L mouse model overlapped with the genes identified in the TASTPM model.”
Quote in the paperNot a substantial claim - Findingown data
Regions typically spared until very late in disease showed fewer significant differences: frontal pole (1 of 24 genes).
“Regions typically spared until very late in disease showed fewer significant (p < 0.05) differences: frontal pole (1 of 24 genes)”
Quote in the paperSubstantial claim - Findingown data
In the P301L mouse model, 14/20 microglial genes (70%) demonstrated significant differences by brain region compared to WT.
“14/20 of microglial genes (70%) demonstrated significant differences in the P301L mouse model data combined with WT data (Table 6, Figure 2B).”
Quote in the paperSubstantial claim - Findingown data
Analyzing the microglial gene expression module with finely dissected samples of healthy human brain, we identified 48 regions (25% of tested regions) showing significant enrichment for the microglial gene set.
“Analyzing this microglial gene expression module with finely dissected samples of healthy human brain, we identified 48 regions (25% of tested regions) showing significant enrichment for the microglial gene set”
Quote in the paperSubstantial claim - Findingown data
Regions that did not demonstrate upregulation of microglial genes in AD such as frontal pole (4 out of 24 genes in females and 1 out of 24 genes in males) and DLPFC (0 out of 21 genes in females and 3 out of 21 genes in males) demonstrated minimal sex-specific effects in pathologically confirmed AD cases at p < 0.05.
“Regions that did not demonstrate upregulation of microglial genes in AD such as frontal pole (4 out of 24 genes in females and 1 out of 24 genes in males) and DLPFC (0 out of 21 genes in females and 3 out of 21 genes in males) demonstrated minimal sex-specific effects in pathologically confirmed AD cases at p < 0.05.”
Quote in the paperNot a substantial claim - Findingown data
Enrichment was particularly robust in a number of regions affected early in the course of AD (e.g., parahippocampal gyrus and inferior frontal gyrus).
“including particularly robust enrichment in a number of regions affected early in the course of AD (e.g., parahippocampal gyrus and inferior frontal gyrus).”
Quote in the paperNot a substantial claim - Findingown data
We observed significant overlap between our microglial gene expression module and genes independently found to impart risk for AD.
“Finally, we observed significant overlap between our microglial gene expression module and genes independently found to impart risk for AD.”
Quote in the paperSubstantial claim - Findingown data
We also detected enrichment in regions that are not particularly affected in AD (e.g., frontal pole and DLPFC).
“However, we also detected enrichment in regions that are not particularly affected in AD (e.g., frontal pole and DLPFC)”
Quote in the paperSubstantial claim - Interpretationreasoning
Regional and sex-specific variation in microglial gene expression may be implicated in risk for and progression of neurodegenerative disease.
“Taken together, our data-driven findings from multiple publicly accessible datasets reemphasize the importance of microglial gene expression alterations in AD and, more importantly, suggest that regional and sex-specific variation in microglial gene expression may be implicated in risk for and progression of neurodegenerative disease.”
Quote in the paperSubstantial claim - Interpretationown data
Brain regions selectively vulnerable in AD may show greater numbers of microglia even in the healthy brain.
“These results stengthen the known association of microglia with neurodegenerative disease and suggest that brain regions selectively vulnerable in AD may show greater numbers of microglia even in the healthy brain.”
Quote in the paperSubstantial claim - Premisecitation
Many, perhaps even a majority, of the genes contributing risk to AD are expressed primarily by microglia.
“Discoveries over the last decade suggest that many, perhaps even a majority, of the genes contributing risk to AD are expressed primarily by microglia (1, 2), the resident myeloid cells of the brain parenchyma.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Microglial gene expression changes may contribute to risk for AD.
“Furthermore, work from the past few years demonstrates that microglial gene expression changes during aging and may contribute to risk for AD (3) as well as autoimmune disorders of the central nervous system (CNS) such as multiple sclerosis [MS; reviewed in (4)] and lupus (5), but precisely how these cells contribute to risk for autoimmune disorders or AD remains unclear.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Olah, 2018, A transcriptomic atlas of aged human microglia, Nat Commun. source
Not checked in the free run.
- Interpretationreasoning
Microglia may represent a common cellular link between canonical autoimmune disorders and AD.
“These findings suggest that microglia may represent a common cellular link between canonical autoimmune disorders and AD, but it remains unclear whether shared or distinct microglial activities underlie the etiologies of these disorders.”
Quote in the paperSubstantial claim - Study design and conductown data
Data from the combined MSSM, Mayo, and ROSMAP studies amounted to 584 individuals with tissue samples from regions impacted early in AD and regions affected later in AD.
“Data from the combined MSSM, Mayo, and ROSMAP studies amounted to 584 individuals with tissue samples from regions impacted early in AD (e.g., superior temporal cortex, parahippocampal gyrus, inferior frontal gyrus) and regions affected later in AD (e.g., cerebellum and frontal pole).”
Quote in the paperSubstantial claim - Study design and conductown data
Of the 30 human microglial genes identified in prior analyses, 20 had data mapping to an orthologous mouse gene and passing quality control.
“Of the 30 human microglial genes identified in our prior analyses, 20 had data mapping to an orthologous mouse gene and passing quality control (as described above).”
Quote in the paperSubstantial claim - Premisecitation
Microglial gene expression changes may contribute to risk for autoimmune disorders of the central nervous system such as multiple sclerosis and lupus.
“Furthermore, work from the past few years demonstrates that microglial gene expression changes during aging and may contribute to risk for AD (3) as well as autoimmune disorders of the central nervous system (CNS) such as multiple sclerosis [MS; reviewed in (4)] and lupus (5), but precisely how these cells contribute to risk for autoimmune disorders or AD remains unclear.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Microglial gene expression changes during aging.
“Furthermore, work from the past few years demonstrates that microglial gene expression changes during aging and may contribute to risk for AD (3) as well as autoimmune disorders of the central nervous system (CNS) such as multiple sclerosis [MS; reviewed in (4)] and lupus (5), but precisely how these cells contribute to risk for autoimmune disorders or AD remains unclear.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Olah, 2018, A transcriptomic atlas of aged human microglia, Nat Commun. source
Not checked in the free run.
- Premisecitation
The identification of the transmembrane protein TMEM119 as a specific marker of microglia has enabled global gene expression profiling of highly pure preparations of microglia.
“In particular, the identification of the transmembrane protein TMEM119 as a specific marker of microglia has enabled global gene expression profiling of highly pure preparations of microglia (9).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Bennett, 2016, New tools for studying microglia in the mouse and human CNS, Proc Natl Acad Sci USA source
Not checked in the free run.
- Premisecitation
TMEM119 is a highly specific and well-validated marker of brain-derived microglia in both mice and humans.
“We analyzed TMEM119 in bulk human brain tissue data from the Allen Brain Institute (13) because it is a highly specific and well-validated marker of brain-derived microglia in both mice and humans.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [9] Bennett, 2016, New tools for studying microglia in the mouse and human CNS, Proc Natl Acad Sci USA source
Not checked in the free run.
- cites [11] Butovsky, 2014, Identification of a unique TGF-β-dependent molecular and functional signature in microglia, Nat Neurosci. source
Not checked in the free run.
- cites [12] Chiu, 2013, A neurodegeneration-specific gene-expression signature of acutely isolated microglia from an amyotrophic lateral sclerosis mouse model, Cell Rep. source
Not checked in the free run.
- Premisecitation
Genetic pleiotropy studies have found striking genetic overlap between AD and several autoimmune disorders, including psoriasis and Crohn disease.
“Although AD is not considered a classical autoimmune disease, genetic pleiotropy studies have found striking genetic overlap between AD and several autoimmune disorders, including psoriasis and Crohn disease (6).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] Yokoyama, 2016, Association between genetic traits for immune-mediated diseases and Alzheimer disease, JAMA Neurol. source
Not checked in the free run.
- Premisecitation
TMEM119 appears to exhibit stable expression even in response to a variety of inflammatory conditions.
“and appears to exhibit stable expression even in response to a variety of inflammatory conditions (9, 96).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [9] Bennett, 2016, New tools for studying microglia in the mouse and human CNS, Proc Natl Acad Sci USA source
Not checked in the free run.
- cites [96] Zrzavy, 2017, Loss of ‘homeostatic’ microglia and patterns of their activation in active multiple sclerosis, Brain. source
Not checked in the free run.
- Premisecitation
Microglial density is proportional to neurofibrillary tangle frequency and distribution.
“This finding is further supported by evidence from AD cases demonstrating that microglial density is proportional to neurofibrillary tangle frequency and distribution (94).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [94] Sheffield, 2000, Regional distribution of cortical microglia parallels that of neurofibrillary tangles in Alzheimer's disease, Neurosci Lett. source
Not checked in the free run.
- Interpretationown data
That we observed increased expression of these genes (in both mouse and human) in bulk tissue from regions affected in neurodegeneration further indicates that the results we observe are driven, at least in part, by increased microglial cell density.
“That we observed increased expression of these genes (in both mouse and human) in bulk tissue from regions affected in neurodegeneration further indicates that the results we observe are driven, at least in part, by increased microglial cell density.”
Quote in the paperNot a substantial claim - Interpretationown data
Enrichment of microglial genes is not necessarily sufficient to predict region-specific vulnerability in AD.
“which indicates that enrichment of microglial genes is not necessarily sufficient to predict region-specific vulnerability in AD.”
Quote in the paperSubstantial claim - Study design and conductnone given
Our study relies heavily upon publicly available data from human and mouse studies of neurodegenerative disease and healthy aging.
“Our study relies heavily upon publicly available data from human and mouse studies of neurodegenerative disease and healthy aging.”
Quote in the paperSubstantial claim - Premisecitation
Mechanistic dissections of the CNS manifestations of lupus have demonstrated a role for type I interferon signaling and autoantibodies in promoting inappropriate complement- and microglia-mediated engulfment of synapses.
“Strikingly, mechanistic dissections of the CNS manifestations of the autoimmune disorder, lupus, have demonstrated a role for type I interferon signaling and autoantibodies in promoting inappropriate complement- and microglia-mediated engulfment of synapses (5, 106).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [5] Bialas, 2017, Microglia-dependent synapse loss in type I interferon-mediated lupus, Nature source
Not checked in the free run.
- cites [106] Nestor, 2018, Lupus antibodies induce behavioral changes mediated by microglia and blocked by ACE inhibitors, J Exp Med source
Not checked in the free run.
- Interpretationreasoning
Taken together, our findings and those cited above help explain why pathogenic mutations and rare variants in microglial genes may exert a disproportionately strong impact on risk for neurodegeneration.
“Taken together, our findings and those cited above help explain why pathogenic mutations and rare variants in microglial genes may exert a disproportionately strong impact on risk for neurodegeneration.”
Quote in the paperSubstantial claim - Premisecitation
P2ry13 and Gpr34, mouse orthologs of genes identified in our human microglial gene set, are known to show down-regulation in so-called DAM that are found in AD and other neurological disorders.
“Intriguingly, P2ry13 and Gpr34, mouse orthologs of genes we identified in our human microglial gene set, are known to show down-regulation in so-called DAM (86–88) that are found in AD and other neurological disorders.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [86] Butovsky, 2018, Microglial signatures and their role in health and disease, Nat Rev Neurosci. source
Not checked in the free run.
- cites [87] Keren-Shaul, 2017, A unique microglia type associated with restricting development of Alzheimer's disease, Cell source
Not checked in the free run.
- cites [88] Krasemann, 2017, The TREM2-APOE pathway drives the transcriptional phenotype of dysfunctional microglia in neurodegenerative diseases, Immunity. source
Not checked in the free run.
- Premisecitation
TMEM119 has been shown to be stably and selectively expressed in adult microglia.
“TMEM119 has been shown to be stably and selectively expressed in adult microglia (9, 95)”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [9] Bennett, 2016, New tools for studying microglia in the mouse and human CNS, Proc Natl Acad Sci USA source
Not checked in the free run.
- cites [95] Hammond, 2018, Single-cell RNA sequencing of microglia throughout the mouse lifespan and in the injured brain reveals complex cell-state changes, Immunity. source
Not checked in the free run.
- Interpretationcitation
Our findings for human AD are consistent with prior studies using independent datasets and modes of analysis which similarly implicated microglial and myeloid expression modules in AD risk and pathobiology.
“Our findings for human AD are consistent with prior studies using independent datasets and modes of analysis which similarly implicated microglial and myeloid expression modules in AD risk and pathobiology (89, 90).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [89] Huang, 2017, A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease, Nat Neurosci source
Not checked in the free run.
- cites [90] Zhang, 2013, Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer's disease, Cell. source
Not checked in the free run.
- Premisecitation
Many studies in mouse models of neurodegenerative disease have identified a harmful role for microglia, particularly as drivers of synapse loss.
“In contrast to developments in human genetics, many studies in mouse models of neurodegenerative disease have identified a harmful role for microglia, particularly as drivers of synapse loss [for example, (103)].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [103] Hong, 2016, Complement and microglia mediate early synapse loss in Alzheimer mouse models, Science source
Not checked in the free run.
- Interpretationcitation
A relative increase in microglial density in pathologically affected regions is likely at least partially responsible for the microglial gene set upregulation we observed in human AD.
“therefore, a relative increase in microglial density in pathologically affected regions is likely at least partially responsible for the microglial gene set upregulation we observed in human AD.”
Quote in the paperSubstantial claim - Premisecitation
Data from human genetics, particularly with respect to the hypomorphic R47H allele of TREM2 that strongly increases risk for AD, provide strong evidence for a protective role for microglia.
“Data from human genetics, particularly with respect to the hypomorphic R47H allele of TREM2 that strongly increases risk for AD (32, 33, 102), provide strong evidence for a protective role for microglia.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [32] Guerreiro, 2013, TREM2 variants in Alzheimer's disease, N Engl J Med. source
Not checked in the free run.
- cites [33] Jonsson, 2013, Variant of TREM2 associated with the risk of Alzheimer's disease, N Engl J Med. source
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- cites [102] Song, 2018, Humanized TREM2 mice reveal microglia-intrinsic and -extrinsic effects of R47H polymorphism, J Exp Med. source
Not checked in the free run.
- Study design and conductreasoning
Using large public datasets is also a limitation because our analyses required pooling of samples from multiple cohorts (especially in the postmortem human tissue analyses).
“using large public datasets is also a limitation because our analyses required pooling of samples from multiple cohorts (especially in the postmortem human tissue analyses).”
Quote in the paperNot a substantial claim - Study design and conductreasoning
Despite pooling data from multiple sources, we cannot fully disentangle whether our findings are specific to AD, due to microglial density patterns, or both.
“Despite pooling data from multiple sources, we cannot fully disentangle whether our findings are specific to AD, due to microglial density patterns, or both.”
Quote in the paperSubstantial claim - Interpretationown data
Our work comparing microglial gene expression in human brain tissue from AD cases suggests that the relationships observed in mice may apply to the human condition.
“Our work comparing microglial gene expression in human brain tissue from AD cases suggests that the relationships observed in mice may apply to the human condition and is consistent with reports from humans showing that there is a sex dimorphism in non-diseased human tissue (109) and that microglial gene expression changes with aging (110–112).”
Quote in the paperSubstantial claim
- May combine two claims. 36
- Classified as probably not a substantial claim. 27
May combine two claims.
Findingown dataIn healthy human brain, the frontal lobes showed comparably less microglial gene enrichment relative to other brain regions, but there was significant enrichment in the inferior frontal gyrus and frontal pole.
“Although the frontal lobes showed comparably less enrichment relative to other brain regions, there was significant enrichment in the inferior frontal gyrus and frontal pole.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe cerebellum showed mixed associations, with 13 of 26 genes upregulated and others showing no apparent changes in AD.
“Interestingly, the cerebellum showed mixed associations, with 13 of 26 genes upregulated and others showing no apparent changes in AD (Figure S2) despite being a region that is usually spared from atrophy in early AD.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the P301L model, significant interactions were observed for transgene status by age (16/20) and transgene status by age and region (14/20), but not transgene status by region (0/20).
“Similar results were observed in the P301L model, with significant interactions for transgene status by age (16/20) and transgene status by age and region (14/20), but not transgene status by region (0/20) (Table 6).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe main effect of age was important in the combined TASTPM and WT mouse data as well as the P301L and WT mouse cohorts, with 15/20 microglial genes (75%) showing differential expression.
“Similarly, the main effect of age was important in the combined TASTPM and WT mouse data as well as the P301L and WT mouse cohorts with 15/20 microglial genes (75%), inclusive of the ones observed in the other two models, showing differential expression (Tables 5, 6).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor transgene status by age and region analyses, the two additional genes identified in P301L that were not identified in TASTPM were Alox5ap and Cd33, both close to the significance cutoff (p = 0.000357).
“For the transgene status by age and region analyses, the two additional genes identified in the P301L tau model that were not identified in the TASTPM mouse were Alox5ap and Cd33—both of which were close to the significance cutoff (p = 0.000357).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe 30 microglial genes identified using cell-type profiling showed a tropism for specific brain regions, with diffuse involvement of multiple brain regions and focal involvement of specific regions such as the frontal pole, temporal cortex, basal ganglia, parietal cortex, and brain stem nuclei.
“Our analyses suggest that there is diffuse involvement of multiple brain regions, but also that there is focal involvement of specific regions such as the frontal pole, temporal cortex, basal ganglia, parietal cortex, and brain stem nuclei.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMicroglial gene expression is higher in diseased mice relative to wild-type and is upregulated in hippocampus and cortex compared to cerebellum.
“demonstrating that microglial gene expression is higher in diseased mice relative to wild-type and is upregulated in hippocampus and cortex compared to cerebellum.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataComparing AD cases vs. controls, microglial genes are highly upregulated with significant expression differences (p < 0.05) in inferior frontal gyrus (14 of 24 genes).
“inferior frontal gyrus (14 of 24 genes)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA steady increase in microglial gene expression with aging is evident in both wild-type and transgenic mice, but is especially prominent in the TASTPM and P301L mouse models of neurodegenerative disease.
“Finally, a steady increase in microglial gene expression with aging is evident in both wild-type and transgenic mice, but is especially prominent in the TASTPM and P301L mouse models of neurodegenerative disease.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataComparing AD cases vs. controls, microglial genes are highly upregulated with significant expression differences (p < 0.05) in bulk temporal cortex (13 of 26 genes).
“and bulk temporal cortex (13 of 26 genes)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataComparing AD cases vs. controls, microglial genes are highly upregulated with significant expression differences (p < 0.05) in superior temporal cortex (22 of 24 genes).
“we found that microglial genes are highly upregulated, showing significant expression differences (p < 0.05) in some regions known to demonstrate significant atrophy in AD: superior temporal cortex (22 of 24 genes)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMicroglial gene expression differed by sex amongst those diagnosed with AD, with significant upregulation in cerebellum (12 of 26 genes in females and 5 of 26 genes in males).
“and cerebellum (12 of 26 genes in females and 5 of 26 genes in males)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataComparing AD cases vs. controls, microglial genes are highly upregulated with significant expression differences (p < 0.05) in parahippocampal gyrus (19 of 24 genes).
“parahippocampal gyrus (19 of 24 genes)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the TASTPM model, significant interactions were observed for transgene status by age (15/20), transgene status by region (13/20), and transgene status by age and region (12/20).
“In the TASTPM model, we observed significant interactions for transgene status by age (15/20), transgene status by region (13/20), and transgene status by age and region (12/20) (Table 5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWith respect to transgene status by age analyses, the genes identified in each mouse model were almost identical, with exceptions being Fvb in TASTPM and Acy3 as well as Sucnr1 in P301L.
“With respect to the transgene status by age analyses, the genes identified in each mouse model were almost identical, with the exceptions being Fvb in the TASTPM model and Acy3 as well as Sucnr1 in the P301L model.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMicroglial gene expression differed by sex amongst those diagnosed with AD, with a subtle effect of increased expression in regions most impacted in AD specific to females, including significant upregulation in bulk temporal cortex (12 of 26 genes in females and 2 of 26 genes in males).
“Our analyses suggested a subtle effect of increased expression of microglial genes in the regions most impacted in AD specific to females with significant (p < 0.05) upregulation in bulk temporal cortex (12 of 26 genes in females and 2 of 26 genes in males)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWe then surveyed the microglial gene expression module in pathologically confirmed human AD cases and found striking upregulation of the microglial module in regions impacted early in the course of AD (e.g., superior temporal cortex, parahippocampal gyrus, and inferior frontal gyrus), and somewhat less robust upregulation in the cerebellum, which is largely unaffected in AD.
“We then surveyed the microglial gene expression module in pathologically confirmed human AD cases and found striking upregulation of the microglial module in regions impacted early in the course of AD (e.g., superior temporal cortex, parahippocampal gyrus, and inferior frontal gyrus), and somewhat less robust upregulation in the cerebellum, which is largely unaffected in AD.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAnalysis of orthologous members of this microglial gene set in mouse models of AD and tauopathy revealed striking variation in expression level that was dictated by brain region, age, and transgene status, with highest expression observed in the aged cortex and hippocampus of mouse models of neurodegenerative disease.
“Analysis of orthologous members of this microglial gene set in mouse models of AD and tauopathy revealed striking variation in expression level that was dictated by brain region, age, and transgene status, with highest expression observed in the aged cortex and hippocampus of mouse models of neurodegenerative disease.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationMultiple testing correction was conducted using the FDR technique.
“Multiple testing correction was conducted using the FDR technique (15).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] Benjamini, 1995, Controlling the false discovery rate: a practical and powerful approach to multiple testing, J R Stat Soc Ser B. source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationMicroglia show sex-specific differentiation and gene expression profiles in adult mice.
“Given that AD shows a sex-specific incidence and findings indicating that microglia show sex-specific differentiation and gene expression profiles in adult mice (27–29), we also examined whether there was a statistical interaction between AD diagnosis and sex (i.e., Gene expression = Diagnosis × Sex + covariates), using the covariate selections described above.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [27] Guneykaya, 2018, Transcriptional and translational differences of microglia from male and female brains, Cell Rep. source
Not checked in the free run.
- cites [28] Kang, 2018, Microglial translational profiling reveals a convergent APOE pathway from aging, amyloid, and tau, J Exp Med source
Not checked in the free run.
- cites [29] Villa, 2018, Sex-specific features of microglia from adult mice, Cell Rep. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe background GWAS datasets used for the FUMA analysis come from the NHGRI-EBI catalog of published genome-wide association studies, which contains over 2,500 publications and over 24,000 single nucleotide polymorphism (SNP) trait associations.
“The background GWAS datasets used for this analysis come from the NHGRI-EBI catalog of published genome-wide association studies (https://www.ebi.ac.uk/gwas/), which contains over 2,500 publications and over 24,000 single nucleotide polymorphism (SNP) trait associations (31).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] MacArthur, 2017, The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog), Nucleic Acids Res source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationBoth TASTPM and P301L mouse models are known to demonstrate a proinflammatory phenotype.
“Both mouse models are known to demonstrate a proinflammatory phenotype (17, 18).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [17] Götz, 2001, Tau filament formation in transgenic mice expressing P301L tau, J Biol Chem. source
Not checked in the free run.
- cites [18] Howlett, 2008, Aß deposition and related pathology in an APP x PS1 transgenic mouse model of Alzheimer's disease, Histol Histopathol. source
Not checked in the free run.
May combine two claims.
PremisecitationCellMapper requires only a single cell marker and a smaller training dataset than other techniques, and enables analysis of expression data derived from bulk brain tissue samples.
“The technique we chose, CellMapper, requires only a single cell marker and a smaller training dataset than other techniques, and enables analysis of expression data derived from bulk brain tissue samples (10).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] Nelms, 2016, CellMapper: rapid and accurate inference of gene expression in difficult-to-isolate cell types, Genome Biol. source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenIn all analyses, the effect of diagnosis on gene expression was tested using linear regression controlling for biological factors such as sex, age, postmortem interval, and technical confounders accounting for more than 1% of variance of the principal components.
“In all analyses, the effect of diagnosis on gene expression was tested using linear regression controlling for biological factors such as sex, age, postmortem interval, and technical confounders accounting for more than 1% of variance of the principal components.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenData from the three brain banks' collective samples was reprocessed and harmonized using a consensus toolset at the Mount Sinai Icahn School of Medicine Minerva HPC system.
“Data from the three brain banks' collective samples was reprocessed and harmonized using a consensus toolset at the Mount Sinai Icahn School of Medicine Minerva HPC system.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationAdvances in cell-type expression profiling have enabled the identification of cell-type-specific gene expression profiles.
“Beyond the identification of specific microglial markers, advances in cell-type expression profiling have enabled the identification of cell-type-specific gene expression profiles (10).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] Nelms, 2016, CellMapper: rapid and accurate inference of gene expression in difficult-to-isolate cell types, Genome Biol. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFor the TASTPM mouse data, heterozygous and homozygous mice were analyzed together, accounting for gene dosage.
“For the TASTPM mouse data, we analyzed heterozygous and homozygous mice together, accounting for gene dosage.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationA specific class II HLA-DR haplotype, DR15, has been suggested to impart risk for both AD and MS.
“Beyond these findings, a specific class II human leukocyte antigen (HLA)-DR haplotype, DR15, has been suggested to impart risk for both AD and MS (7, 8).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] Schmidt, 2007, HLA-DR15 haplotype and multiple sclerosis: a HuGE review, Am J Epidemiol. source
Not checked in the free run.
- cites [8] Steele, 2017, Fine-mapping of the human leukocyte antigen locus as a risk factor for Alzheimer disease: a case-control study, PLoS Med. source
Not checked in the free run.
May combine two claims.
InterpretationreasoningDynamic changes in our microglial gene expression module therefore likely reflect a combination of increases in microglial cellularity and activation of specific gene expression programs (e.g., microgliosis and concomitant activation of the DAM program).
“Dynamic changes in our microglial gene expression module therefore likely reflect a combination of increases in microglial cellularity and activation of specific gene expression programs (e.g., microgliosis and concomitant activation of the DAM program).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationP2ry13 is an ADP receptor and part of the G-protein coupled receptor family-it is thought to play a role in hematopoiesis and immune function.
“P2ry13 is an ADP receptor and part of the G-protein coupled receptor family—it is thought to play a role in hematopoiesis and immune function (97).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [97] Rossi, 2013, Gpr171, a putative P2Y-like receptor, negatively regulates myeloid differentiation in murine hematopoietic progenitors, Exp Hematol. source
Not checked in the free run.
May combine two claims.
PremisecitationFamilial neurodegenerative disease is rare and the pathological processes driving it may be substantially different than those driving sporadic disease.
“Familial neurodegenerative disease is rare and the pathological processes driving it may be substantially different than those driving sporadic disease (100).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [100] Drummond, 2017, Alzheimer's disease: experimental models and reality, Acta Neuropathol. source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataWe generated the microglial expression profile using microarray data from the Allen Brain Institute.
“Although many of our secondary analyses utilized RNAseq data, we generated the microglial expression profile using microarray data from the Allen Brain Institute.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataCollectively, our findings demonstrate that microglial gene expression varies greatly by brain region and as a function of age, and responds dynamically to neurodegenerative processes in pathologically affected brain regions.
“Collectively, our findings demonstrate that microglial gene expression varies greatly by brain region and as a function of age, and responds dynamically to neurodegenerative processes in pathologically affected brain regions.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationInappropriate activation of microglia may be sufficient to induce synapse loss and neurodegeneration, while homeostatic microglia can protect against neurodegeneration.
“Thus, while microglia are clearly capable of protecting against neurodegeneration when functioning in a homeostatic manner, inappropriate activation may be sufficient to induce synapse loss and neurodegeneration.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataWe do not have AD samples from globus pallidus or corpus callosum, which would enable us to test whether microglial genes showed increased expression as a function of AD in regions that show highly enriched microglial expression in healthy brain, but which are not impacted until very late in AD.
“For instance, we do not have AD samples from globus pallidus or corpus callosum, which would enable us to test whether microglial genes showed increased expression as a function of AD in regions that show highly enriched microglial expression in healthy brain, but which are not impacted until very late in AD.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThese limitations are especially difficult to address when analyzing bulk tissue as was done in our study.
“These limitations are especially difficult to address when analyzing bulk tissue as was done in our study.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationWe utilized TMEM119 as a marker of microglial expression, which was shown in 2016 to be a highly specific marker of brain-derived microglia.
“Secondly, we utilized TMEM119 as a marker of microglial expression, which was shown in 2016 to be a highly specific marker of brain-derived microglia (9).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Bennett, 2016, New tools for studying microglia in the mouse and human CNS, Proc Natl Acad Sci USA source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSeveral publications within the last 2 years have employed scRNAseq and mass cytometry of microglia and other CNS immune cells to understand global alterations in immunological gene expression and dynamic changes in immune cell-type abundance as a function of brain anatomy, aging, and neurodegeneration.
“Several publications within the last 2 years have begun to employ scRNAseq and mass cytometry of microglia and other CNS immune cells as ways to understand (i) global alterations in immunological gene expression and (ii) dynamic changes in immune cell-type abundance as a function of brain anatomy, aging, and neurodegeneration (87, 95, 107, 108).”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [87] Keren-Shaul, 2017, A unique microglia type associated with restricting development of Alzheimer's disease, Cell source
Not checked in the free run.
- cites [95] Hammond, 2018, Single-cell RNA sequencing of microglia throughout the mouse lifespan and in the injured brain reveals complex cell-state changes, Immunity. source
Not checked in the free run.
- cites [107] Ajami, 2018, Single-cell mass cytometry reveals distinct populations of brain myeloid cells in mouse neuroinflammation and neurodegeneration models, Nat Neurosci. source
Not checked in the free run.
- cites [108] Mrdjen, 2018, High-dimensional single-cell mapping of central nervous system immune cells reveals distinct myeloid subsets in health, aging, and disease, Immunity. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe TASTPM mouse model of AD has amyloid plaques and demonstrates memory deficits, but does not show neurofibrillary tangles.
“For instance, the TASTPM mouse model of AD has amyloid plaques and demonstrates memory deficits, but does not show neurofibrillary tangles (101).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [101] Howlett, 2004, Cognitive correlates of Aβ deposition in male and female mice bearing amyloid precursor protein and presenilin-1 mutant transgenes, Brain Res. source
Not checked in the free run.
May combine two claims.
PremisecitationTREM2 is also a member of our gene expression module and is known to be upregulated in DAM.
“On the other hand, TREM2 is also a member of our gene expression module and is known to be upregulated in DAM (87, 99).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [87] Keren-Shaul, 2017, A unique microglia type associated with restricting development of Alzheimer's disease, Cell source
Not checked in the free run.
- cites [99] Deczkowska, 2018, Disease-associated microglia: a universal immune sensor of neurodegeneration, Cell. source
Not checked in the free run.
May combine two claims.
Study design and conductreasoningThe mouse models we utilized harbor genetic mutations that cause familial AD and FTLD, and thus present a unique set of limitations.
“The mouse models we utilized harbor genetic mutations that cause familial AD and FTLD, and thus present a unique set of limitations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe function and importance of Gpr34 and its protein product remain largely undetermined, though its suspected role in detecting short chain fatty acids may implicate it in both metabolic and immune pathways.
“The function and importance of Gpr34 and its protein product remain largely undetermined, though its suspected role in detecting short chain fatty acids may implicate it in both metabolic and immune pathways (45, 98).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [45] Liebscher, 2011, Altered immune response in mice deficient for the G protein-coupled receptor GPR34, J Biol Chem. source
Not checked in the free run.
- cites [98] Kitamura, 2012, GPR34 is a receptor for lysophosphatidylserine with a fatty acid at the sn-2 position, J Biochem. source
Not checked in the free run.
May combine two claims.
Study design and conductnone givenThe primary limitations of CellMapper include that it was designed to use microarray data (not yet validated using RNAseq data) and that it requires validated as well as highly specific cell markers to accurately generate a cellular expression profile.
“The primary limitations of CellMapper include that it was designed to use microarray data (not yet validated using RNAseq data) and that it requires validated as well as highly specific cell markers to accurately generate a cellular expression profile.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningStrengths of this approach are that it enabled us to build cohorts of large sample size, detect subtle disease effects, and ensure replicability of our findings.
“Strengths of this approach are that it enabled us to build cohorts of large sample size, detect subtle disease effects, and ensure replicability of our findings”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningCombining cohorts from multiple studies requires detailed and careful correction for batch effects and covariate selection but was necessary to achieve adequate statistical power.
“Combining cohorts from multiple studies requires detailed and careful correction for batch effects and covariate selection but was necessary to achieve adequate statistical power.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationMicrogliosis is a known feature of AD.
“Microgliosis is a known feature of AD [reviewed in (92, 93)]”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenOther potential explanations of the increased expression we observed include age differences at tissue collection and use of different AD mouse models.
“Other potential explanations of the increased expression we observed include age differences at tissue collection and use of different AD mouse models.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe protocol was approved by the University of California, San Francisco Committee on Human Research.
“The protocol was approved by the University of California, San Francisco Committee on Human Research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAD is one of the most common diseases of aging and shows sex-specific incidence and progression.
“given that AD is one of the most common diseases of aging and shows sex-specific incidence and progression (113).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [113] Snyder, 2016, Sex biology contributions to vulnerability to Alzheimer's disease: a think tank convened by the Women's Alzheimer's Research Initiative, Alzheimers Dement. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
“The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMicroglial gene expression changes with aging.
“and that microglial gene expression changes with aging (110–112).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [110] Galatro, 2017, Transcriptomic analysis of purified human cortical microglia reveals age-associated changes, Nat Neurosci source
Not checked in the free run.
- cites [111] Grabert, 2016, Microglial brain region–dependent diversity and selective regional sensitivities to aging, Nat Neurosci source
Not checked in the free run.
- cites [112] Soreq, 2017, Major shifts in glial regional identity are a transcriptional hallmark of human brain aging, Cell Rep. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThis study was carried out in accordance with the recommendations of University of California, San Francisco Committee on Human Research.
“This study was carried out in accordance with the recommendations of University of California, San Francisco Committee on Human Research.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere is a sex dimorphism in non-diseased human tissue.
“consistent with reports from humans showing that there is a sex dimorphism in non-diseased human tissue (109)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [109] Thion, 2018, Microbiome influences prenatal and adult microglia in a sex-specific manner, Cell. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSexually dimorphic microglial gene expression profiles have been reported in mice.
“Another critical issue for future work will be to determine the mechanisms responsible for sexually dimorphic microglial gene expression profiles reported in mice (28, 88) and to what extent they apply to human microglia.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [28] Kang, 2018, Microglial translational profiling reveals a convergent APOE pathway from aging, amyloid, and tau, J Exp Med source
Not checked in the free run.
- cites [88] Krasemann, 2017, The TREM2-APOE pathway drives the transcriptional phenotype of dysfunctional microglia in neurodegenerative diseases, Immunity. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll subjects gave written informed consent in accordance with the Declaration of Helsinki.
“All subjects gave written informed consent in accordance with the Declaration of Helsinki.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The TASTPM mouse model demonstrates a more severe pathological burden than either the APP or PS1 mutation alone.
“Amongst the mouse models of AD available from the Mouseac project, we chose to analyze the TASTPM model because it involves two mutant, disease-causing transgenes (APP and PS1) identified in human familial AD cases and demonstrates a more severe pathological burden than either mutation alone.”
The paper relies on this without support.
The TASTPM mouse model involves two mutant, disease-causing transgenes (APP and PS1) identified in human familial AD cases.
“Amongst the mouse models of AD available from the Mouseac project, we chose to analyze the TASTPM model because it involves two mutant, disease-causing transgenes (APP and PS1) identified in human familial AD cases and demonstrates a more severe pathological burden than either mutation alone.”
The paper relies on this without support.
The P301L-tau transgenic mouse model models frontotemporal lobar degeneration (FTLD).
“P301L-tau transgenic mice, which model a related neurodegenerative disorder, frontotemporal lobar degeneration (FTLD).”
The paper relies on this without support.
AD shows a sex-specific incidence.
“Given that AD shows a sex-specific incidence and findings indicating that microglia show sex-specific differentiation and gene expression profiles in adult mice (27–29), we also examined whether there was a statistical interaction between AD diagnosis and sex (i.e., Gene expression = Diagnosis × Sex + covariates), using the covariate selections described above.”
The paper relies on this without support.
Publicly available brain tissue samples are limited and many native microglial markers are shared with other ostensibly similar cell populations.
“These characteristics are especially important for native microglia in brain tissue—publicly available brain tissue samples are limited and many native microglial markers are shared with other ostensibly similar cell populations (e.g., infiltrating peripheral macrophages).”
The paper relies on this without support.
Mouse models often mimic only limited aspects of the corresponding human neuropathology.
“Further, mouse models often mimic only limited aspects of the corresponding human neuropathology.”
The paper relies on this without support.
The major advantage of scRNAseq and mass cytometry is that they enable unbiased, global profiling of gene expression uninfluenced by changes in cellularity, as well as characterization of cell-type fluctuations as a function of anatomy, age, and disease.
“The major advantage of these techniques is that they enable unbiased, global profiling of gene expression uninfluenced by changes in cellularity, as well as characterization of cell-type fluctuations as a function of anatomy, age, and disease.”
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?
TMEM119 is stably and specifically expressed in microglia and can be used to distinguish microglia from resident and infiltrating macrophages.
“TMEM119 has been shown to be stably and specifically expressed in microglia [41,44], and it can be used to distinguish microglia from resident and infiltrating macrophages [41].”
From Beyond Activation: Characterizing Microglial Functional Phenotypes (2021) · cites this paper as [44]
The Introduction describes TMEM119 as a specific microglial marker that distinguishes microglia from other myeloid cells, including perivascular and infiltrating macrophages. The Methods also calls it a highly specific, well-validated marker. Neither passage establishes that its expression is stable, so that part of the claim is unsupported. (LLM, conf=0.86)
Experimental — accuracy not yet measuredGPR34 encodes an inhibitory G-protein coupled receptor found on microglia that is overexpressed in regions of the brain affected by neurodegeneration in both humans and mice.
“GPR34 (FC = 1.36, p = 0.002) encodes an inhibitory G-protein coupled receptor found on microglia which is overexpressed in regions of the brain affected by neurodegeneration in both humans and mice [10].”
From Early onset senescence and cognitive impairment in a murine model of repeated mTBI (2021) · cites this paper as [10]
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.
Figure 3 points to the wrong table for the TASTPM analysis
MinorFigure 3 cites Table 4 for the joint analysis of TASTPM heterozygotes and homozygotes, but Table 4 contains healthy-human regional enrichment results. The TASTPM mouse results are in Table 5.
“Data for TASTPM heterozygotes and homozygotes was analyzed in one model (Table 4).”
“Table: Table 4 Regional gene set enrichment analyses in healthy human brain tissue.”
The citation lists haven’t been fetched yet
References 114 · Cited by 83
- Authors
- Bonham, L. W., Sirkis, D. W., & Yokoyama, J. S.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Yokoyama, Jennifer S.
- Venue
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Published
- 2019-06-04
- Volume
- 10
- Pages
- 1170-1170
- ISSN
- 1664-3224 (ISSN-L)
- PMC
- PMC6557985
- OpenAlex
- W2948895486
- Semantic Scholar
- 0edd64265ed348d6d0b4b83994b5586de7170409
- Cited by
- 83
- References
- 114
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 19 · 2023: 11 · 2022: 10 · 2021: 17 · 2020: 12 · 2019: 2
- FWCI
- 4.52
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Immunology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- Larry L. Hillblom Foundation
- National Institute on Aging
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- microglia, Alzheimer's disease, aging, neurodegenerative diseases, microglial gene expression, TMEM119, co-expression analysis, sex differences, hippocampus, cortex, tauopathy, postmortem brain
- MeSH terms
- Aging, Animals, Autoimmune Diseases, Brain, Disease Models, Animal, Disease Susceptibility, Gene Expression Regulation, Hippocampus, Humans, Organ Specificity, Microglia, Neurodegenerative Diseases, Gene Expression Profiling, Mice, Genome-Wide Association Study, Frontotemporal Dementia, Transcriptome
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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 ›
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