Literature DB >> 30232263

Differential effects of partial and complete loss of TREM2 on microglial injury response and tauopathy.

Faten A Sayed1,2,3, Maria Telpoukhovskaia3, Lay Kodama1,2,3, Yaqiao Li3, Yungui Zhou3, David Le3, Axel Hauduc3, Connor Ludwig3, Fuying Gao4,5, Claire Clelland2,3, Lihong Zhan3, Yonatan A Cooper6, Dimitrios Davalos3, Katerina Akassoglou2,3, Giovanni Coppola4,5, Li Gan7,2,3.   

Abstract

Alzheimer's disease (AD), the most common form of dementia, is characterized by the abnormal accumulation of amyloid plaques and hyperphosphorylated tau aggregates, as well as microgliosis. Hemizygous missense variants in Triggering Receptor Expressed on Myeloid Cells 2 (TREM2) are associated with elevated risk for developing late-onset AD. These variants are hypothesized to result in loss of function, mimicking TREM2 haploinsufficiency. However, the consequences of TREM2 haploinsufficiency on tau pathology and microglial function remain unknown. We report the effects of partial and complete loss of TREM2 on microglial function and tau-associated deficits. In vivo imaging revealed that microglia from aged TREM2-haploinsufficient mice show a greater impairment in their injury response compared with microglia from aged TREM2-KO mice. In transgenic mice expressing mutant human tau, TREM2 haploinsufficiency, but not complete loss of TREM2, increased tau pathology. In addition, whereas complete TREM2 deficiency protected against tau-mediated microglial activation and atrophy, TREM2 haploinsufficiency elevated expression of proinflammatory markers and exacerbated atrophy at a late stage of disease. The differential effects of partial and complete loss of TREM2 on microglial function and tau pathology provide important insights into the critical role of TREM2 in AD pathogenesis.
Copyright © 2018 the Author(s). Published by PNAS.

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Keywords:  RNA-seq; inflammation; motility; neurodegeneration; tau inclusions

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Year:  2018        PMID: 30232263      PMCID: PMC6176614          DOI: 10.1073/pnas.1811411115

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


Alzheimer’s disease (AD), the most common form of dementia, is characterized pathologically by the abnormal accumulation of amyloid plaques, hyperphosphorylated tau aggregates, and microgliosis. The recent genetic implication of a microglial-expressed gene, Triggering Receptor Expressed on Myeloid Cells 2 (TREM2), in late-onset AD suggests a pivotal role for microglia in AD pathogenesis. Although mutations in TREM2 are rare, this gene is nonetheless the strongest immune gene-specific risk factor for AD discovered thus far (1–3). TREM2 encodes a transmembrane receptor that is expressed by microglia in the brain (4, 5). TREM2 has been implicated in neuroinflammation and in the metabolic fitness, proliferation, survival, and phagocytic capacity of microglia (6–16). The most common AD-associated TREM2 variant, R47H, is associated with an approximately threefold increased risk for developing late-onset AD (1–3). It is thought to result in a TREM2 loss-of-function phenotype (10, 17, 18). Compared with noncarriers, R47H carriers have higher levels of phosphorylated tau around plaques (19) and more neurofibrillary tangles (20). In addition, R47H carriers have higher levels of cerebrospinal fluid (CSF)-soluble TREM2, and CSF-soluble TREM2 levels were significantly correlated with higher levels of CSF-phosphorylated tau (21). These observations in human patients suggest a detrimental effect of TREM2 haploinsufficiency on tau pathology. Surprisingly, in a tauopathy mouse model, complete loss of TREM2 function had no effect on tau pathology, while protecting against brain atrophy (22). These findings highlight the need to assess the effects of TREM2 haploinsufficiency in AD models. We investigated how TREM2 haploinsufficiency, a model relevant to AD cases carrying hemizygous risk variants, affects microglial function and tau pathology. By using in vivo two-photon microscopy to visualize microglial motility, we found that TREM2 haploinsufficiency resulted in an age-dependent impairment in microglial injury response without affecting baseline motility. Interestingly, complete loss of TREM2 resulted in a milder impairment in injury-induced motility compared with TREM2 haploinsufficiency. We then investigated the effects of TREM2 haploinsufficiency and complete deficiency on tau pathology in mice expressing mutant human tau (P301S). Our findings demonstrated a robust increase in tau pathology in TREM2-haploinsufficient mice, an effect that was not observed in TREM2-KO mice. We further investigated how TREM2 haploinsufficiency and complete deficiency affect tau-mediated deficits.

Results

TREM2 Haploinsufficiency Causes an Age-Dependent Impairment in Microglia’s Injury Response.

Microglia carry out critical functions of surveying the brain and responding to injury (23, 24). To address the effect of TREM2 on microglial surveillance, we used in vivo two-photon imaging to examine microglial motility in 3–5-mo-old TREM2+/+, TREM2+/− and TREM2−/− mice crossed to Cx3cr1GFP/+ mice, in which microglia express enhanced GFP driven by the Cx3cr1 promoter (25). Analysis of a 10-min time-lapse recording of cortical microglia showed no differences in the baseline properties of microglia across the three genotypes, including average speed of process extension and retraction and total change in process length (Fig. 1 ). TREM2 also had no effect on microglial cell density or cell body size at baseline (). Moreover, in response to a laser-induced focal tissue injury, microglia from young TREM2+/+, TREM2+/− and TREM2−/− mice exhibited no difference in cell density (Fig. 1), cell body size (), or the density of microglial processes extending toward the injury site (Fig. 1 and Movie S1).
Fig. 1.

TREM2 haploinsufficiency causes an age-dependent impairment of microglia’s injury response in vivo. (A–E) Quantification of microglial motility in 3–5-mo-old mice. Quantification of the average speed per microglial process (A) and total change in length of microglial processes (B) during 10-min baseline recordings from 3–5-mo-old mice. TREM2+/+, n = 7 recordings from 7 mice; TREM2+/−, n = 9 recordings from 9 mice; TREM2−/−, n = 10 recordings from 10 mice. (C) Microglial density for young mice from laser-induced tissue injury videos. TREM2+/+, n = 10 recordings from 9 mice; TREM2+/−, n = 11 recordings from 10 mice; TREM2−/−, n = 12 recordings from 10 mice. (D) Representative still images at 3 min, 21 min, 39 min, and 57 min from the microglial responses to injury in young mice. Laser ablations are outlined with smaller white circles. The response was normalized to microglial density at each time point, denoted by larger white circles. (Scale bar: 20 μm.) (E) Quantification of normalized microglial responses from young mice toward focal laser-induced tissue injury over a period of 60 min from time of injury. TREM2+/+, n = 7 injuries from 7 mice; TREM2+/−, n = 11 injuries from 10 mice; TREM2−/−, n = 12 injuries from 10 mice. (F–H) Quantification of microglial motility in 9–14-mo old mice. (F) Quantification of the average speed per microglial process and (G) total change in length of processes during 10-min baseline recordings from 9–14-mo-old mice. TREM2+/+, n = 10 recordings from 7 mice; TREM2+/−, n = 10 recordings from 9 mice; TREM2−/−, n = 10 recordings from 9 mice. (H) Microglial density for aged mice during laser-induced tissue injury experiments. TREM2+/+, n = 7 recordings from 6 mice; TREM2+/−, n = 13 recordings from 10 mice; TREM2−/−, n = 12 recordings from 9 mice. (I) Representative still images at 3 min, 21 min, 39 min, and 57 min from the microglial responses to injury in aged mice. Laser ablations are outlined with smaller white circles. Response size was normalized to microglial density at each time point, denoted by larger white circles. (Scale bar: 20 μm.) (J) Quantification of normalized microglial responses from aged mice toward focal laser-induced tissue injury was measured over a period of 60 min from time of injury. TREM2+/+, n = 6 injuries from 5 mice; TREM2+/−, n = 13 injuries from 10 mice; TREM2−/−, n = 12 injuries from 9 mice (****P < 0.0001, STATA mixed-effects modeling). Values are expressed as mean ± SEM. Data were analyzed using one-way ANOVA with Bonferroni post hoc analyses for all panels except for E and J, which were analyzed by using STATA mixed-effects modeling.

TREM2 haploinsufficiency causes an age-dependent impairment of microglia’s injury response in vivo. (A–E) Quantification of microglial motility in 3–5-mo-old mice. Quantification of the average speed per microglial process (A) and total change in length of microglial processes (B) during 10-min baseline recordings from 3–5-mo-old mice. TREM2+/+, n = 7 recordings from 7 mice; TREM2+/−, n = 9 recordings from 9 mice; TREM2−/−, n = 10 recordings from 10 mice. (C) Microglial density for young mice from laser-induced tissue injury videos. TREM2+/+, n = 10 recordings from 9 mice; TREM2+/−, n = 11 recordings from 10 mice; TREM2−/−, n = 12 recordings from 10 mice. (D) Representative still images at 3 min, 21 min, 39 min, and 57 min from the microglial responses to injury in young mice. Laser ablations are outlined with smaller white circles. The response was normalized to microglial density at each time point, denoted by larger white circles. (Scale bar: 20 μm.) (E) Quantification of normalized microglial responses from young mice toward focal laser-induced tissue injury over a period of 60 min from time of injury. TREM2+/+, n = 7 injuries from 7 mice; TREM2+/−, n = 11 injuries from 10 mice; TREM2−/−, n = 12 injuries from 10 mice. (F–H) Quantification of microglial motility in 9–14-mo old mice. (F) Quantification of the average speed per microglial process and (G) total change in length of processes during 10-min baseline recordings from 9–14-mo-old mice. TREM2+/+, n = 10 recordings from 7 mice; TREM2+/−, n = 10 recordings from 9 mice; TREM2−/−, n = 10 recordings from 9 mice. (H) Microglial density for aged mice during laser-induced tissue injury experiments. TREM2+/+, n = 7 recordings from 6 mice; TREM2+/−, n = 13 recordings from 10 mice; TREM2−/−, n = 12 recordings from 9 mice. (I) Representative still images at 3 min, 21 min, 39 min, and 57 min from the microglial responses to injury in aged mice. Laser ablations are outlined with smaller white circles. Response size was normalized to microglial density at each time point, denoted by larger white circles. (Scale bar: 20 μm.) (J) Quantification of normalized microglial responses from aged mice toward focal laser-induced tissue injury was measured over a period of 60 min from time of injury. TREM2+/+, n = 6 injuries from 5 mice; TREM2+/−, n = 13 injuries from 10 mice; TREM2−/−, n = 12 injuries from 9 mice (****P < 0.0001, STATA mixed-effects modeling). Values are expressed as mean ± SEM. Data were analyzed using one-way ANOVA with Bonferroni post hoc analyses for all panels except for E and J, which were analyzed by using STATA mixed-effects modeling. Given the established association of TREM2 with age-related diseases (1–3, 26), we next examined the effects of TREM2 on microglial motility in 9–14-mo-old TREM2+/+, TREM2+/− and TREM2−/− mice. At baseline, the average speed and total change in process length did not differ across genotypes (Fig. 1 ). Microglial cell density or cell body size also remained similar (). Strikingly, in response to focal tissue injury, microglia from older TREM2+/− mice exhibited a significantly reduced response to injury compared with WT microglia, as evidenced by fewer microglial processes extending toward the site of injury at any given time point (Fig. 1 and Movie S2). TREM2−/− microglia showed a significant, yet milder, attenuation in response size compared with TREM2+/− (Fig. 1 and Movie S2). TREM2+/− microglia were the slowest to respond, extended the fewest processes toward the site of injury, and did not reach the injury site within 60 min (Fig. 1 and Movie S2). TREM2−/− microglia, on the contrary, were able to reach the injury site within 60 min, similar to WT microglia (Fig. 1 and Movie S2). The impairment in TREM2+/− and TREM2−/− microglia responses were not associated with differences in microglial density (Fig. 1) or activation state, as evidenced by the unaltered cell body size (). Moreover, there was no correlation between ablation size and response (), indicating that the reduced response sizes in TREM2-deficient microglia were not caused by smaller injuries. Thus, surprisingly, TREM2 haploinsufficiency attenuates the in vivo microglial response to tissue injury in an age-dependent manner and to a greater extent than complete TREM2 deficiency.

TREM2 Haploinsufficiency and Complete Deficiency Differentially Regulate the Microglial Transcriptome in the Presence and Absence of Tauopathy.

Next, to identify microglial pathways regulated by TREM2 in an unbiased fashion, we performed RNA sequencing (RNA-seq) of adult microglia isolated by using CD11b magnetic beads from young TREM2+/+, TREM2+/− and TREM2−/− mice. We confirmed the purity of our adult-isolated microglia, as their transcriptome closely matched a previously published microglial transcriptome (27) (Fig. 2). TREM2 haploinsufficiency and complete deficiency altered the microglial transcriptome in unique ways (Fig. 2). A total of 107 transcripts were significantly different between TREM2+/− and TREM2−/− (Fig. 2). Ingenuity Pathway Analysis (IPA) revealed cellular movement as the most significantly altered biological pathway in TREM2+/− microglia compared with TREM2− (Fig. 2), consistent with our in vivo imaging finding that TREM2+/− microglia exhibited greater impairment in their injury response than TREM2−/− (Fig. 1). Interestingly, these transcriptomic alterations in young TREM2+/− microglia preceded the impaired injury response seen in aged TREM2+/− microglia. In addition, multiple pathways pertaining to inflammation were significantly altered between TREM2+/− and TREM2−/− microglia, such as immune cell trafficking and inflammatory response (Fig. 2), suggesting differential regulation of inflammation in TREM2+/− vs. TREM2−/− microglia.
Fig. 2.

Differential effects of partial and complete loss of TREM2 on the microglial transcriptome. (A) RNA-seq of microglia isolated from the forebrain of 3–4-mo-old mice (TREM2+/+, n = 4 samples from 8 mice; TREM2+/−, n = 3 samples from 6 mice; TREM2−/−, n = 3 samples from 6 mice). Expression levels of the top 100 most enriched transcripts in astrocytes (AS), endothelial cells (EN), microglia (MG), neurons (NE), and oligodendrocytes (OG), as identified by Zhang et al. (27). Columns 1–5: data from Zhang et al. Columns 6–15: expression data in microglia from TREM2+/+, TREM2+/−, and TREM2−/− mice. Shades of red correspond to increased levels compared with average gene expression, and shades of blue correspond to decreased levels. (B) Heat map representing significantly altered transcripts (P < 0.005) across all genotypes. Samples are in columns and genes are in rows. Shades of red represent up-reglation, and shades of green represent down-regulation. (C) Venn diagram illustrating the number and overlap of transcripts that were significantly altered between the two indicated genotypes (P < 0.005). (D) IPA of top six enriched disease and biological function pathways from 107 transcripts that were significantly altered in TREM2−/− microglia compared with TREM2+/− microglia (P < 0.005). Bars indicate −log (P value) of enrichment. Red dotted line corresponds to P = 0.05.

Differential effects of partial and complete loss of TREM2 on the microglial transcriptome. (A) RNA-seq of microglia isolated from the forebrain of 3–4-mo-old mice (TREM2+/+, n = 4 samples from 8 mice; TREM2+/−, n = 3 samples from 6 mice; TREM2−/−, n = 3 samples from 6 mice). Expression levels of the top 100 most enriched transcripts in astrocytes (AS), endothelial cells (EN), microglia (MG), neurons (NE), and oligodendrocytes (OG), as identified by Zhang et al. (27). Columns 1–5: data from Zhang et al. Columns 6–15: expression data in microglia from TREM2+/+, TREM2+/−, and TREM2−/− mice. Shades of red correspond to increased levels compared with average gene expression, and shades of blue correspond to decreased levels. (B) Heat map representing significantly altered transcripts (P < 0.005) across all genotypes. Samples are in columns and genes are in rows. Shades of red represent up-reglation, and shades of green represent down-regulation. (C) Venn diagram illustrating the number and overlap of transcripts that were significantly altered between the two indicated genotypes (P < 0.005). (D) IPA of top six enriched disease and biological function pathways from 107 transcripts that were significantly altered in TREM2−/− microglia compared with TREM2+/− microglia (P < 0.005). Bars indicate −log (P value) of enrichment. Red dotted line corresponds to P = 0.05. The rare R47H missense variant in TREM2 is associated with increased risk for tauopathies (2, 3, 26, 28) and hyperphosphorylation of tau in AD carriers (19). We next investigated how TREM2 affects tau pathology and tau-associated deficits in the P301S tauopathy mouse model (Prnp-MAPT*P301S) (29). The effects of TREM2 haploinsufficiency and complete loss of TREM2 on tau-induced transcriptional changes were examined at 8–9 mo of age (), when P301S mice exhibit significant tau inclusions, microgliosis, and neuronal loss (29). Compared with P301S+ TREM2+/+ mice, there were 232 differentially expressed transcripts in P301S+ TREM2+/− mice (Fig. 3). These transcripts were significantly enriched for pathways pertaining to microglial development, such as TGFβ signaling (4), and inflammation, such as IL2 STAT5 signaling and TNF-α signaling via NF-κB (). To validate these pathways, we performed quantitative real-time PCR of pro- and anti-inflammatory markers. Consistent with tau-mediated inflammatory responses, expression of P301S human tau significantly increased levels of proinflammatory cytokines TNF-α, IL-1α, and IL-1β (). Importantly, TREM2+/− resulted in significantly elevated levels of TNF-α and IL-1α compared with P301S+ TREM2+/+ mice, but had no effects on anti-inflammatory markers VEGF1, Cox2, or IL-34 (). Differentially expressed genes in P301S+ TREM2−/− on the contrary, were significantly enriched for genes related to metabolism, such as oxidative phosphorylation, glycolysis, and MTORC1 signaling (). Direct comparison of P301S+ TREM2+/− and P301S+ TREM2−/− revealed that, of the 389 differentially expressed transcripts, there was a significant enrichment of complement-related genes and inflammatory response genes (Fig. 3).
Fig. 3.

Differential effects of partial and complete loss of TREM2 on P301S-induced transcriptional changes. (A) Venn diagram illustrating the number and overlap of transcripts that were significantly altered between the two indicated P301S+ genotypes from 8–9-mo-old mice (P < 0.005, four mice per genotype, one mouse per sample). (B) Gene Set Enrichment Analysis (GSEA) using the hallmark database on significantly differentially expressed transcripts between partial vs. complete loss of TREM2 in P301S mice. The top 10 most enriched pathways are shown. The fraction on the bar graph indicates the total number of genes curated in the database for the specified term (denominator) and the number of overlapping genes in the inputted RNA-seq dataset (numerator).

Differential effects of partial and complete loss of TREM2 on P301S-induced transcriptional changes. (A) Venn diagram illustrating the number and overlap of transcripts that were significantly altered between the two indicated P301S+ genotypes from 8–9-mo-old mice (P < 0.005, four mice per genotype, one mouse per sample). (B) Gene Set Enrichment Analysis (GSEA) using the hallmark database on significantly differentially expressed transcripts between partial vs. complete loss of TREM2 in P301S mice. The top 10 most enriched pathways are shown. The fraction on the bar graph indicates the total number of genes curated in the database for the specified term (denominator) and the number of overlapping genes in the inputted RNA-seq dataset (numerator).

TREM2 Haploinsufficiency Exacerbates Tau Pathology in P301S Mice.

We then assessed how partial and complete loss of TREM2 affects tau aggregation. Immunohistochemistry with the AT8 antibody, which recognizes two phosphorylation sites on tau (pS202, pT205), revealed a significant increase in the AT8+ area in the cortex of P301S+ TREM2+/− mice compared with P301S+ TREM2+/+ and P301S+ TREM2−/− (Fig. 4 ) and a trend toward increased AT8 pathology in the hippocampus (Fig. 4 ). In contrast, there was no difference in AT8 load between P301S+ TREM2−/− and P301S+ TREM2+/+ mice in hippocampus and cortex (Fig. 4 ), consistent with a recent finding by Leyns et al. (22). We also performed immunohistochemistry with the MC1 antibody, which detects a pathological conformation of tau (30). Consistent with the differential effects induced by TREM2+/− and TREM2−/− on AT8 pathology, P301S+ TREM2+/− mice had significantly greater MC1+ area than P301S+ TREM2−/− in cortex (Fig. 4 ) and in hippocampus (Fig. 4 ). Similarly, the MC1+ area in the hippocampus of P301S+ TREM2+/− mice, most notably in the mossy fibers, was significantly greater than in P301S+ TREM2+/+ mice (Fig. 4 ). A similar trend was observed in the cortex (Fig. 4 ). In sharp contrast, the MC1+ area trended toward a decrease in P301S+ TREM2−/− mice compared with P301S+ TREM2+/+ mice (Fig. 4 ). Thus, TREM2 haploinsufficiency, but not complete loss of TREM2, enhances tau pathology.
Fig. 4.

TREM2 haploinsufficiency exacerbates tau pathology in P301S+ mice. (A) Representative images of AT8 immunostaining in the cortex of 8–9-mo-old mice. (Scale bar: 100 μm.) (B) Quantification of the percentage of AT8+ area in the cortex of P301S+ TREM2, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 9 mice; 6–8 sections per mouse (*P < 0.05, STATA mixed-effects modeling). (C) Representative images of AT8 immunostaining in the hippocampus of 8–9-mo-old mice. (Scale bar: 300 μm.) (D) Quantification of the percentage of AT8+ area in the hippocampus of P301S+ TREM2, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 10 mice; 6–8 sections per mouse. (E) Representative images of MC1 immunostaining in the cortex of 8–9-mo-old mice. (Scale bar: 300 μm.) (F) Quantification of the percentage of MC1+ area in the cortex of P301S+ TREM2+/+, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 9 mice; 7–16 sections per mouse (**P < 0.01, R mixed-effects modeling). (G) Representative images of MC1 immunostaining in the hippocampus of 8–9-mo-old mice. (Scale bar: 100 μm.) (H) Quantification of the percentage of MC1+ area in the hippocampus of P301S+ TREM2+/+, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 10 mice; 7–16 sections/mouse (**P < 0.01, ***P < 0.001, R mixed-effects modeling). Values are expressed as mean ± SEM.

TREM2 haploinsufficiency exacerbates tau pathology in P301S+ mice. (A) Representative images of AT8 immunostaining in the cortex of 8–9-mo-old mice. (Scale bar: 100 μm.) (B) Quantification of the percentage of AT8+ area in the cortex of P301S+ TREM2, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 9 mice; 6–8 sections per mouse (*P < 0.05, STATA mixed-effects modeling). (C) Representative images of AT8 immunostaining in the hippocampus of 8–9-mo-old mice. (Scale bar: 300 μm.) (D) Quantification of the percentage of AT8+ area in the hippocampus of P301S+ TREM2, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 10 mice; 6–8 sections per mouse. (E) Representative images of MC1 immunostaining in the cortex of 8–9-mo-old mice. (Scale bar: 300 μm.) (F) Quantification of the percentage of MC1+ area in the cortex of P301S+ TREM2+/+, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 9 mice; 7–16 sections per mouse (**P < 0.01, R mixed-effects modeling). (G) Representative images of MC1 immunostaining in the hippocampus of 8–9-mo-old mice. (Scale bar: 100 μm.) (H) Quantification of the percentage of MC1+ area in the hippocampus of P301S+ TREM2+/+, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 10 mice; 7–16 sections/mouse (**P < 0.01, ***P < 0.001, R mixed-effects modeling). Values are expressed as mean ± SEM.

Differential Effects of Partial and Complete TREM2 Deficiency on Atrophy and Microgliosis in P301S Mice.

Next, we investigated how TREM2 haploinsufficiency and complete deficiency affect tau-induced neurodegeneration. At 8–9 mo of age, there were similar levels of hippocampal neuronal loss in P301S mice regardless of TREM2 genotype () and tau-induced atrophy could not yet be detected in cortex (). However, complete TREM2 deficiency resulted in a protection against hippocampal atrophy, as evidenced by the smaller lateral ventricle area (Fig. 5 ), and a trend toward increased hippocampal area (Fig. 5). This result is in agreement with a previous report that showed that complete TREM2 deficiency protected against brain atrophy in P301S mice (22). Compared with P301S+ TREM2+/+, TREM2 haploinsufficiency did not significantly affect atrophy at 8–9 mo (Fig. 5 ) or at 10–11 mo of age (Fig. 5 ). However, compared with WT mice, P301S TREM2, but not P301S TREM2, mice exhibited significantly more severe atrophy (Fig. 5 ).
Fig. 5.

Differential effects of partial and complete loss of TREM2 on atrophy in P301S+ mice. (A) Representative images of NeuN immunostaining from 8–9-mo-old mice. Lateral ventricle outlined with a white dashed line. (B) Quantification of the lateral ventricle area of TREM2+/+, n = 6 mice; P301S+ TREM2, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 10 mice, 6–17 sections per mouse (*P < 0.05, one-way ANOVA with Bonferroni post hoc analysis). (C) Quantification of the hippocampal area in 8–9-mo-old TREM2+/+, n = 6; P301S+ TREM2+/+, n = 9; P301S+ TREM2+/−, n = 25; and P301S+ TREM2−/−, n = 10 mice, 6–17 sections per mouse. (D) Representative images of NeuN immunostaining from 10–11-mo-old mice. Lateral ventricle outlined with a white dashed line. (E) Quantification of the lateral ventricle area of TREM2+/+, n = 12 mice; P301S+ TREM2, n = 12 mice; P301S+ TREM2+/−, n = 11 mice; n = 6–8 sections per mouse (***P < 0.001, one-way ANOVA with Bonferroni post hoc analysis). Values are expressed as mean ± SEM.

Differential effects of partial and complete loss of TREM2 on atrophy in P301S+ mice. (A) Representative images of NeuN immunostaining from 8–9-mo-old mice. Lateral ventricle outlined with a white dashed line. (B) Quantification of the lateral ventricle area of TREM2+/+, n = 6 mice; P301S+ TREM2, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 10 mice, 6–17 sections per mouse (*P < 0.05, one-way ANOVA with Bonferroni post hoc analysis). (C) Quantification of the hippocampal area in 8–9-mo-old TREM2+/+, n = 6; P301S+ TREM2+/+, n = 9; P301S+ TREM2+/−, n = 25; and P301S+ TREM2−/−, n = 10 mice, 6–17 sections per mouse. (D) Representative images of NeuN immunostaining from 10–11-mo-old mice. Lateral ventricle outlined with a white dashed line. (E) Quantification of the lateral ventricle area of TREM2+/+, n = 12 mice; P301S+ TREM2, n = 12 mice; P301S+ TREM2+/−, n = 11 mice; n = 6–8 sections per mouse (***P < 0.001, one-way ANOVA with Bonferroni post hoc analysis). Values are expressed as mean ± SEM. We next evaluated how TREM2 levels affect tau-induced microgliosis, a canonical hallmark of AD pathology recapitulated in P301S mice (29). Analysis of Iba1 immunoreactivity in the hippocampus revealed an expected significant increase in microglial number induced by P301S tau (Fig. 6 ). Interestingly, compared with P301S+ TREM2+/+, complete TREM2 deficiency, but not haploinsuffciency, resulted in a trend toward reduced microglial density (Fig. 6 ). Moreover, the number of microglia positively correlated with MC1+ area (Fig. 6), supporting the idea that elevated tau pathology is associated with inflammatory responses in microglia.
Fig. 6.

Differential regulation of inflammation by partial and complete loss of TREM2 in P301S+ mice. (A) Representative images of Iba1 immunostaining of microglia in the hippocampus of 8–9-mo-old mice. (Scale bar: 300 μm.) (B) Quantification of the number of microglia per millimeter squared in the hippocampus of TREM2+/+, n = 5 mice; P301S+ TREM2+/+, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 10 mice; 6–17 sections per mouse (*P < 0.05, R mixed-effects modeling). (C) Significant positive correlation between hippocampal percent MC1+ area and number of Iba1+ cells per square millimeter (***P < 0.001, linear regression). Each dot represents one animal. Graph depicts mean and 95% CIs. Genotypes are color-coded according to key. (D) Representative images of hippocampal Iba1 immunostaining and the corresponding 3D reconstructions using Imaris. (Scale bars: full-view images, 40 μm; magnified images, 20 μm.) (E) Quantification of the length sum of microglial processes and (F) number of microglial branches in TREM2+/+, n = 4 mice (35 cells); P301S+ TREM2+/+, n = 7 mice (123 cells); P301S+ TREM2+/−, n = 9 mice (169 cells); P301S+ TREM2−/−, n = 5 mice (64 cells; *P < 0.05 and ***P < 0.001, one-way ANOVA with Bonferroni post hoc analysis). Values are expressed as mean ± SEM.

Differential regulation of inflammation by partial and complete loss of TREM2 in P301S+ mice. (A) Representative images of Iba1 immunostaining of microglia in the hippocampus of 8–9-mo-old mice. (Scale bar: 300 μm.) (B) Quantification of the number of microglia per millimeter squared in the hippocampus of TREM2+/+, n = 5 mice; P301S+ TREM2+/+, n = 9 mice; P301S+ TREM2+/−, n = 25 mice; P301S+ TREM2−/−, n = 10 mice; 6–17 sections per mouse (*P < 0.05, R mixed-effects modeling). (C) Significant positive correlation between hippocampal percent MC1+ area and number of Iba1+ cells per square millimeter (***P < 0.001, linear regression). Each dot represents one animal. Graph depicts mean and 95% CIs. Genotypes are color-coded according to key. (D) Representative images of hippocampal Iba1 immunostaining and the corresponding 3D reconstructions using Imaris. (Scale bars: full-view images, 40 μm; magnified images, 20 μm.) (E) Quantification of the length sum of microglial processes and (F) number of microglial branches in TREM2+/+, n = 4 mice (35 cells); P301S+ TREM2+/+, n = 7 mice (123 cells); P301S+ TREM2+/−, n = 9 mice (169 cells); P301S+ TREM2−/−, n = 5 mice (64 cells; *P < 0.05 and ***P < 0.001, one-way ANOVA with Bonferroni post hoc analysis). Values are expressed as mean ± SEM. To further characterize how TREM2 levels affect tau-mediated microglial activation, we performed morphological analyses by using 3D renderings of confocal images (Fig. 6). Compared with TREM2+/+, TREM2 haploinsufficiency in P301S mice induced significantly shortened processes (Fig. 6) and fewer branches (Fig. 6), indicating strong tau-mediated microglial activation. In contrast, complete loss of TREM2 in P301S mice resulted in a failure to induce morphological changes associated with microglial activation; microglia from P301S TREM2−/− mice exhibited similar process length and arborization as nonactivated microglia from WT (TREM) mice (Fig. 6 ).

Discussion

Our study highlights multiple findings in which TREM2 haploinsufficiency resulted in stronger or different phenotypes than complete TREM2 deficiency. TREM2 haploinsufficiency led to a greater age-dependent impairment in microglia response to injury compared with complete TREM2 deficiency. Moreover, TREM2 haploinsufficiency exacerbated tau pathology, atrophy, and inflammation. On the contrary, complete loss of TREM2 protected against atrophy and reduced microgliosis. Interestingly, complete loss of TREM2 was also associated with trends toward reduced MC1+ pathology. These results highlight multiple TREM2 phenotypes that are gene-dose–independent. As hemizygous TREM2 variants are associated with elevated risk for AD, TREM2 haploinsufficiency may be a more relevant model to study how TREM2 contributes to AD pathogenesis. Indeed, complete loss of TREM2 in humans results in Nasu–Hakola disease (31), which could be driven by mechanisms that are distinct from those of AD. As the resident immune cells in the brain, microglia need to respond robustly to injury, especially in neurodegenerative brains that have increased neuronal death and accumulation of abnormal protein aggregates. By using in vivo imaging, we showed that TREM2 haploinsufficiency impairs microglia’s injury-induced response in an age-dependent manner and to a greater degree than complete loss of TREM2 (Fig. 1 and Movie S2). It is interesting that this result is present in aged but not young mice. This finding mirrors the role of TREM2 in the development of late-onset AD. Notably, there was no impairment in baseline motility (Fig. 1 ), suggesting that TREM2 modulates microglial pathways specifically related to injury response. This injury-specific modulation of motility may contribute to TREM2’s implication in neurodegeneration, in which neuronal injury is abundant. This type of differential modulation of baseline and injury-induced motility has been observed previously in the microglia field. For example, the purinergic receptor P2RY12 was found to slow down microglia’s response to ATP/ADP released during injury without affecting baseline motility (32). Aged TREM2-haploinsufficient microglia were significantly slower to respond to injury and extended fewer processes toward the site of injury throughout the 60-min imaging session (Movie S2). Interestingly, TREM2-deficient microglia showed an intermediate phenotype between TREM2 haploinsufficient and WT microglia. On average, they extended more processes toward the site of injury than TREM2-haploinsufficient microglia, and they were able to reach the site of injury within 60 min (Movie S2). This gene-dose–independent phenomenon may be driven by compensatory mechanisms in microglia completely lacking TREM2 from development, whereas TREM2 haploinsufficiency could elicit different types of compensatory changes via modulation of TREM2 expression from the existing allele. Our RNA-seq analyses of TREM2+/− and TREM2−/− microglia revealed a significant difference in the cellular movement pathway induced by TREM2 deficiency (Fig. 2), consistent with a previous study that looked at TREM2+/+ and TREM2−/− microglia (33). Interestingly, the transcriptional changes in TREM2-haploinsufficient microglia occurred before the development of the impaired injury response. These observations are consistent with a two-hit hypothesis: young TREM2-haploinsufficient microglia can maintain normal function, but those challenged by age or pathological conditions, such as tauopathy, are unable to do so. Remarkably, TREM2 haploinsufficiency exacerbated tau pathology whereas complete TREM2 deficiency did not (Fig. 4), yet another phenotype that was not gene-dose–dependent. Of note, patients with the R47H TREM2 variant have increased tau pathology (13), similar to TREM2-haploinsufficient tauopathy mice. One likely explanation for the lack of effect of complete TREM2 deficiency on multiple phenotypes is that complete loss of TREM2 may result in compensatory changes. Indeed, a previous study showed that, in the absence of TREM2, expression of homeostatic microglial genes was not suppressed, but rather fully preserved and even slightly increased, supporting the possibility of compensation (33). Moreover, we observed transcriptional changes between TREM2+/− and TREM2−/− microglia that may underlie gene-dose–independent phenotypes. Inflammatory pathways were altered at the transcriptional level between TREM2+/− and TREM2−/− microglia from young mice (Fig. 2), highlighting early-onset, inherent TREM2-dependent changes in microglial activation that persisted in older disease states (Fig. 6 and ). The P301S mouse model begins to show neuronal loss at 9–10 mo of age (29). Neither TREM2 haploinsufficiency nor complete deficiency exacerbated neuronal loss at 8–9 mo of age. However, complete loss of TREM2 protected against tau-induced atrophy (Fig. 5 ). Our results suggest that the increase in cortical volume seen by Leyns et al. (22) may not be caused by a protection against neuronal loss per se, as P301S+ TREM2−/− mice had a similar number of neurons as P301S+ TREM2+/+ mice (). Instead, complete loss of TREM2 may increase cortical volume through other mechanisms, such as protection against loss of neuronal processes or, given TREM2’s implication in lipid sensing (10), through an increase in the brain’s lipid content. In contrast to the neuroprotective effect of complete loss of TREM2, partial loss of TREM2 appears to be detrimental, highlighted by the significant increase in lateral ventricle area at 10–11 mo of age compared with WT mice (Fig. 5). It is interesting to note that complete loss of TREM2 resulted in a trend toward reduced late-stage tau pathology and reduced atrophy, whereas TREM2 haploinsufficiency exacerbated tau pathology and exacerbated atrophy. It remains to be determined whether tau pathology and microglial activation work together or independently to cause brain atrophy. We also detected increased expression of proinflammatory cytokines in P301S+ TREM2+/− mice (), a finding consistent with the cytokine profiles in R47H carriers with AD (20). However, it is unclear whether the increased inflammatory state is a cause or consequence of the increased tau pathology present in TREM2+/− mice and patients with the R47H variant (19). Interestingly, in amyloid mouse models, TREM2 haploinsufficiency did not affect the expression of pro- or anti-inflammatory markers at early or later stages of amyloid pathology (8), but reduced microglia number (10). These studies, in conjunction with our data, suggest that TREM2 haploinsufficiency differentially modulates inflammation in the contexts of amyloid and tau pathology. On the contrary, P301S+ mice completely lacking TREM2 have been shown to have lower levels of proinflammatory markers (22), as well as reduced microglial density and a resting state morphology. Together, these results, along with our RNA-seq data (Figs. 2 and 3 and ), suggest inflammation as a possible mechanism by which TREM2 haploinsufficiency vs. complete deficiency result in apparent opposing phenotypes, such as their effects on tau pathology. Microglia have been implicated in the spread of tau pathology (34), and their activation state could contribute to how they respond in the context of tauopathy. Indeed, we found a significant positive correlation between microglial density and tau pathology (Fig. 6). Our surprising discovery that TREM2 haploinsufficiency exerts a more robust impairment in microglial function and exacerbation of tau pathology compared with complete loss of TREM2 highlights the plasticity of microglia in response to TREM2 deficiency. The potential detrimental effects of TREM2 haploinsufficiency can provide insight into how TREM2 contributes to AD pathogenesis and inform potential TREM2-targeted therapeutic strategies.

Methods

Detailed procedures for all methods described here are provided in the .

Mice.

All animal procedures were carried out under protocols approved by the University of California, San Francisco, Institutional Animal Care and Use Committee.

In Vivo Imaging.

Intravital imaging using two-photon microscopy was performed with thinned-skull windows as previously described (24).

Antibodies, Immunohistochemistry, and Image Analysis.

Immunohistochemistry and image analysis were performed by experimenters blinded to the genotypes. The code was not broken until all analyses were completed.

Adult Microglia Isolation and Quantitative RT-PCR.

Adult microglia were isolated from TREM2+/+, TREM2+/− and TREM2−/− mice as described previously (35).

RNA-Seq and Analysis.

RNA-seq libraries were prepared with Ovation RNA-seq system v2 kit (NuGEN) or Lexogen QuantSeq 3′ mRNA-Seq Library Prep Kit. All RNA-seq data have been deposited in the Gene Expression Omnibus repository (https://www.ncbi.nlm.nih.gov/geo/) under accession number GSE118630.

Statistical Analysis.

Data were analyzed with GraphPad Prism v. 7 (GraphPad), STATA12 (StataCorp), or R (R Foundation for Statistical Computing). Multilevel mixed-effects linear regression model fit using STATA12 was used to compare curves for young and aged mice in response to injury. For cluster analyses of multiple measurements from individual mice, we used the R package lmer. Outliers were removed based on GraphPad’s outlier analysis algorithm. All animals were included for statistical analyses unless otherwise noted.
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Authors:  G A Jicha; R Bowser; I G Kazam; P Davies
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2.  TREM2 Maintains Microglial Metabolic Fitness in Alzheimer's Disease.

Authors:  Tyler K Ulland; Wilbur M Song; Stanley Ching-Cheng Huang; Jason D Ulrich; Alexey Sergushichev; Wandy L Beatty; Alexander A Loboda; Yingyue Zhou; Nigel J Cairns; Amal Kambal; Ekaterina Loginicheva; Susan Gilfillan; Marina Cella; Herbert W Virgin; Emil R Unanue; Yaming Wang; Maxim N Artyomov; David M Holtzman; Marco Colonna
Journal:  Cell       Date:  2017-08-10       Impact factor: 41.582

3.  Depletion of microglia and inhibition of exosome synthesis halt tau propagation.

Authors:  Hirohide Asai; Seiko Ikezu; Satoshi Tsunoda; Maria Medalla; Jennifer Luebke; Tarik Haydar; Benjamin Wolozin; Oleg Butovsky; Sebastian Kügler; Tsuneya Ikezu
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4.  The triggering receptor expressed on myeloid cells 2 (TREM2) is associated with enhanced inflammation, neuropathological lesions and increased risk for Alzheimer's dementia.

Authors:  Panos Roussos; Pavel Katsel; Peter Fam; Weilun Tan; Dushyant P Purohit; Vahram Haroutunian
Journal:  Alzheimers Dement       Date:  2014-12-09       Impact factor: 21.566

5.  TREM2 Haplodeficiency in Mice and Humans Impairs the Microglia Barrier Function Leading to Decreased Amyloid Compaction and Severe Axonal Dystrophy.

Authors:  Peng Yuan; Carlo Condello; C Dirk Keene; Yaming Wang; Thomas D Bird; Steven M Paul; Wenjie Luo; Marco Colonna; David Baddeley; Jaime Grutzendler
Journal:  Neuron       Date:  2016-05-18       Impact factor: 17.173

6.  Variant of TREM2 associated with the risk of Alzheimer's disease.

Authors:  Thorlakur Jonsson; Hreinn Stefansson; Stacy Steinberg; Ingileif Jonsdottir; Palmi V Jonsson; Jon Snaedal; Sigurbjorn Bjornsson; Johanna Huttenlocher; Allan I Levey; James J Lah; Dan Rujescu; Harald Hampel; Ina Giegling; Ole A Andreassen; Knut Engedal; Ingun Ulstein; Srdjan Djurovic; Carla Ibrahim-Verbaas; Albert Hofman; M Arfan Ikram; Cornelia M van Duijn; Unnur Thorsteinsdottir; Augustine Kong; Kari Stefansson
Journal:  N Engl J Med       Date:  2012-11-14       Impact factor: 91.245

7.  TREM2 deficiency impairs chemotaxis and microglial responses to neuronal injury.

Authors:  Fargol Mazaheri; Nicolas Snaidero; Gernot Kleinberger; Charlotte Madore; Anna Daria; Georg Werner; Susanne Krasemann; Anja Capell; Dietrich Trümbach; Wolfgang Wurst; Bettina Brunner; Sebastian Bultmann; Sabina Tahirovic; Martin Kerschensteiner; Thomas Misgeld; Oleg Butovsky; Christian Haass
Journal:  EMBO Rep       Date:  2017-05-08       Impact factor: 8.807

8.  TREM2 lipid sensing sustains the microglial response in an Alzheimer's disease model.

Authors:  Yaming Wang; Marina Cella; Kaitlin Mallinson; Jason D Ulrich; Katherine L Young; Michelle L Robinette; Susan Gilfillan; Gokul M Krishnan; Shwetha Sudhakar; Bernd H Zinselmeyer; David M Holtzman; John R Cirrito; Marco Colonna
Journal:  Cell       Date:  2015-02-26       Impact factor: 41.582

9.  Altered microglial response to Aβ plaques in APPPS1-21 mice heterozygous for TREM2.

Authors:  Jason D Ulrich; Mary Beth Finn; Yaming Wang; Alice Shen; Thomas E Mahan; Hong Jiang; Floy R Stewart; Laura Piccio; Marco Colonna; David M Holtzman
Journal:  Mol Neurodegener       Date:  2014-06-03       Impact factor: 14.195

10.  TREM2 deficiency attenuates neuroinflammation and protects against neurodegeneration in a mouse model of tauopathy.

Authors:  Cheryl E G Leyns; Jason D Ulrich; Mary B Finn; Floy R Stewart; Lauren J Koscal; Javier Remolina Serrano; Grace O Robinson; Elise Anderson; Marco Colonna; David M Holtzman
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-09       Impact factor: 11.205

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Authors:  Stefan Prokop; Kelly R Miller; Sergio R Labra; Rose M Pitkin; Kevt'her Hoxha; Sneha Narasimhan; Lakshmi Changolkar; Alyssa Rosenbloom; Virginia M-Y Lee; John Q Trojanowski
Journal:  Acta Neuropathol       Date:  2019-07-26       Impact factor: 17.088

Review 2.  Harnessing Immunoproteostasis to Treat Neurodegenerative Disorders.

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Review 3.  Immunological signatures in frontotemporal lobar degeneration.

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4.  Increased soluble TREM2 in cerebrospinal fluid is associated with reduced cognitive and clinical decline in Alzheimer's disease.

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Journal:  Sci Transl Med       Date:  2019-08-28       Impact factor: 17.956

Review 5.  Alzheimer Disease: An Update on Pathobiology and Treatment Strategies.

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Journal:  Cell       Date:  2019-09-26       Impact factor: 41.582

6.  Loss of TREM2 Confers Resilience to Synaptic and Cognitive Impairment in Aged Mice.

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Journal:  J Neurosci       Date:  2020-11-02       Impact factor: 6.167

Review 7.  Leveraging preclinical models for the development of Alzheimer disease therapeutics.

Authors:  Kimberly Scearce-Levie; Pascal E Sanchez; Joseph W Lewcock
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8.  Impact of TREM2R47H variant on tau pathology-induced gliosis and neurodegeneration.

Authors:  Maud Gratuze; Cheryl Eg Leyns; Andrew D Sauerbeck; Marie-Kim St-Pierre; Monica Xiong; Nayeon Kim; Javier Remolina Serrano; Marie-Ève Tremblay; Terrance T Kummer; Marco Colonna; Jason D Ulrich; David M Holtzman
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Review 9.  Immune Signaling in Neurodegeneration.

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Journal:  Immunity       Date:  2019-04-16       Impact factor: 31.745

10.  Acute Trem2 reduction triggers increased microglial phagocytosis, slowing amyloid deposition in mice.

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