Abstract
Background
The TREM2 R47H variant is one of the strongest genetic risk factors for late-onset Alzheimer’s Disease (AD). Unfortunately, many current Trem2 R47H mouse models are associated with cryptic mRNA splicing of the mutant allele that produces a confounding reduction in protein product. To overcome this issue, we developed the Trem2R47H NSS (Normal Splice Site) mouse model in which the Trem2 allele is expressed at a similar level to the wild-type Trem2 allele without evidence of cryptic splicing products.
Methods
Trem2R47H NSS mice were treated with the demyelinating agent cuprizone, or crossed with the 5xFAD mouse model of amyloidosis, to explore the impact of the TREM2 R47H variant on inflammatory responses to demyelination, plaque development, and the brain’s response to plaques.
Results
Trem2R47H NSS mice display an appropriate inflammatory response to cuprizone challenge, and do not recapitulate the null allele in terms of impeded inflammatory responses to demyelination. Utilizing the 5xFAD mouse model, we report age- and disease-dependent changes in Trem2R47H NSS mice in response to development of AD-like pathology. At an early (4-month-old) disease stage, hemizygous 5xFAD/homozygous Trem2R47H NSS (5xFAD/Trem2R47H NSS) mice have reduced size and number of microglia that display impaired interaction with plaques compared to microglia in age-matched 5xFAD hemizygous controls. This is associated with a suppressed inflammatory response but increased dystrophic neurites and axonal damage as measured by plasma neurofilament light chain (NfL) level. Homozygosity for Trem2R47H NSS suppressed LTP deficits and loss of presynaptic puncta caused by the 5xFAD transgene array in 4-month-old mice. At a more advanced (12-month-old) disease stage 5xFAD/Trem2R47H NSS mice no longer display impaired plaque-microglia interaction or suppressed inflammatory gene expression, although NfL levels remain elevated, and a unique interferon-related gene expression signature is seen. Twelve-month old Trem2R47H NSS mice also display LTP deficits and postsynaptic loss.
Conclusions
The Trem2R47H NSS mouse is a valuable model that can be used to investigate age-dependent effects of the AD-risk R47H mutation on TREM2 and microglial function including its effects on plaque development, microglial-plaque interaction, production of a unique interferon signature and associated tissue damage.
Supplementary Information
The online version contains supplementary material available at 10.1186/s13024-023-00598-4.
Keywords: Alzheimer’s Disease, Microglia, Inflammation, TREM2 R47H, MODEL-AD, LTP
Background
Triggering receptor expressed on myeloid cells 2 (TREM2) is an immunomodulatory cell surface receptor expressed in myeloid lineage cells including microglia [1, 2]. TREM2 has been implicated in functioning in a wide range of processes including cell proliferation, survival, phagocytosis and regulation of inflammation [3, 4]. TREM2 can bind many polyanionic ligands including bacterial lipopolysaccharide, lipoproteins and phospholipids whose presence are often associated with infection or cellular damage [5]. TREM2 is expressed as a single pass transmembrane protein with an extracellular V-type immunoglobulin domain and a short ectodomain (aa 1–174), a single transmembrane helix and a short cytoplasmic sequence (aa 196–230). TREM2 can also be produced as a soluble extracellular protein via alternative splicing or via proteolytic processing of the transmembrane form within the ectodomain. Intracellular signaling via TREM2 receptor can be mediated via DNAX-activating protein of 12 kDa (DAP12, also known as TYROBP) as well as DAP-10 which can propagate downstream intracellular signaling via spleen tyrosine kinase (SYK) and phosphatidylinositol 3-kinase (PI3K). Mechanisms of signaling via TREM2 in vivo have not yet been fully elucidated.
Mutations within TREM2 can be associated with age-dependent development of several neurodegenerative diseases depending on the specific variant [6–10]. A complete loss of function of TREM2 or DAP-12 results in Nasu-Hakola disease, a rare inherited leukodystrophy characterized by bone cysts, bone fractures and sclerosing leukoencephalopathy associated with progressive pre-senile dementia [11, 12]. More recently, human genome-wide association studies (GWAS) identified the relatively rare R47H missense variant in TREM2 as being strongly and reproducibly linked to increased risk of development of Late-Onset AD (LOAD; [13, 14]). The R47 residue is located within a poly-basic region of the extracellular Ig-like domain, and likely modifies interactions of TREM2 with its ligands such as phospholipids, apolipoproteins, apoptotic neurons and Aβ [15, 16].
TREM2 is primarily expressed by microglia, the primary immune cells of the central nervous system that play important roles in responding to pathological insults and maintaining tissue homeostasis. Moreover, these cells have been strongly implicated in the development of LOAD. During AD, microglia mount an inflammatory response to Aβ plaques as evidenced by findings in both human AD brains and animal models of the disease [17, 18]. Accumulating evidence implicates microglia in several AD-related processes including plaque formation and growth [19], plaque compaction [19, 20], constituting a protective barrier against dystrophic neurites [21], promoting or preventing development and spreading of Tau pathology [22], cerebral amyloid angiopathy [19], destruction of perineuronal nets [23, 24], as well as synaptic and neuronal loss [23, 25–31]. Understanding how alteration in TREM2R47H function contributes to AD should provide important insight into how microglial biology contributes to AD.
The mouse is a powerful model mammalian genetic system to investigate consequences of human genetic dysfunction on development and homeostasis, including AD [32, 33]. Three groups used CRISPR/Cas9 to develop mouse models to investigate the properties of the R47H mutation on TREM2 function in vivo [34–36]. Unfortunately, in all three cases, generation of Trem2R47H mouse models via CRISPR produced unintended cryptic splicing products from the mutant Trem2 allele, resulting in dramatically reduced level of TREM2 protein not observed in human R47H carriers, which confounded alignment of phenotypes observed in mice with those in humans [34, 35]. We have overcome this limitation by developing a Trem2R47H mouse model without cryptic splicing and with normal level of transcription of the Trem2R47H allele. We characterized the response of mice homozygous for this new Trem2R47H allele to acute demyelination following administration of cuprizone and compared this with the response observed in mice homozygous for a cryptic splice site allele of Trem2R47H as well as mice with a null allele of Trem2. We also investigated the consequence of homozygosity for the new Trem2R47H allele on development of pathology using the 5xFAD mouse model at early and late stages of disease progression. This new mouse Trem2R47H model can be used to investigate mechanisms whereby the TREM2 R47H mutation contributes to development of human late onset AD.
Methods
Animals
All experiments involving mice were approved by the UC Irvine Institutional Animal Care and Use Committee and were conducted in compliance with all relevant ethical regulations for animal testing and research. All experiments involving mice comply with the Animal Research: Reporting of in Vivo Experiments (ARRIVE) guidelines.
Mice
To generate Trem2R47H mice (B6(SJL)-Trem2em1Aduci/J, Jackson Laboratory stock number #034,036), Alt-R Crispr RNA (TMF1342 – gaagcactgggggagacgca) and tracrRNA plus CAS9 protein (HiFi Cas9 nuclease V3, Integrated DNA Technologies (IDT), Coralville, IA) as a ribonucleoprotein (RNP) was microinjected into C57BL/6 J zygotes (Jackson Lab Stock # 000,664) along with a ssODN sequence (TMF 1341–5’-CAAGCCCTCAACACCACGGTGCTGCAGGGCATGGCCGGCCAGTCGTTAAGGGTATCCTGCACTTATGACGCGTTGAAACATTGGGGCAGACATAAGGCCTGGTGTCGGCAGCTGGGTGAGGAGGGCCCATGCCAGCGTGTGGT—3’) to introduce the R47H missense mutation. G0 founder animals containing the desired DNA sequence changes were backcrossed with C57BL/6 J mice and N1 heterozygous mice were sequenced to determine the mutant allele. N1 heterozygous mice were backcrossed to produce N3F1 heterozygotes, which were used to generate animals for subsequent analysis. 5xFAD hemizygous (B6.CgTg(APPSwFlLon,PSEN1*M146L*L286V)6799Vas/Mmjax, Jackson Lab Stock # 34,848, MMRRC) and non-transgenic littermates were produced by natural mating or IVF procedures with C57BL/6 J females. After weaning, they were housed together with littermates and aged until the harvest dates. All animals were bred by the Transgenic Mouse Facility at UCI.
Off-target analysis
Genomic DNA was extracted from mouse tail biopsies using DirectPCR Lysis Reagent (Viagen Biotech, Los Angeles, CA) and Proteinase K (Roche, Indianapolis, IN). Amplification was performed using a Bio-Rad CFX-96 instrument. For each amplicon, a single PCR product was confirmed by capillary electrophoresis (Fragment Analyzer, AATI / Agilent, Santa Clara, CA) then subjected to Sanger sequencing (Retrogen, San Diego, CA) and analyzed using SeqMan Pro 17.2 (DNASTAR, Madison, WI). Primers for PCR amplification and sequencing for off-target analysis are listed in Supplemental Table 1).
Genotyping
Oligonucleotides for PCR-based genotyping were purchased from IDT. Trem2R47H NSS genotyping was performed using a common primer set to amplify both Trem2 wildtype allele and Trem2R47H NSS allele (For 5′-TCAACACCACGGTGCT -3′ and Rev 5′-TGTGTGCTCACCACACG -3′). Two fluorophore labeled-hydrolysis probes which hybridized specific to mouse Trem2 wildtype amplicon (5’-TGCGTCTCCCCCAGTGCTTCAA-3’ + HEX) and Trem2R47H NSS mutation (5’-TATGTCTGCCCCAATGTTTCAACGCG-3’-FAM) were used to detect the allelic ratio in the amplicon. The relative fluorescence from each probe was quantified at the end point of PCR cycles to call the genotype using Allelic Discrimination function using Bio-Rad CFX Maestro software (Bio-Rad, Hercules, CA). For 5xFAD genotyping, a hydrolysis probe which hybridizes to APP(Swe) mutation amplicon was used (For 5′-TGGGTTCAAACAAAGGTGCAA-3′ and Rev 5′-GATGACGATCACTGTCGCTATGAC-3′: APP(Swe) probe 5′-CATTGGACTCATGGTGGGCGGTG-3′.) to detect transgenes. We used endogenous ApoB allele (For 5′-CACGTGGGCTCCAGCATT-3′ and Rev 5′-TCACCAGTCATTTCTGCCTTTG-3′: ApoB probe 5′-CCAATGGTCGGGCACTGCTCAA-3′) to normalize the Ct values.
Cuprizone (CPZ) treatment
Eight-week-old C57BL/6 J, Trem2em1Aduci (i.e. Trem2R47H NSS), Trem2em1Adiuj (i.e. Trem2R47H CSS), and Trem2em2Adiuj (i.e. Trem2-KO) mice (Jackson Laboratory stock number: 000664, 034,036, 027,918, 027,197 respectively) were used. Each mouse model consisted of 2 groups of 4 male mice. Control mice were supplied standard chow for 6 weeks while the CPZ groups were fed 0.3% cuprizone chow also for 6 weeks (Envigo, Indianapolis, IN). Mice within the same experiment group (i.e., same genotype and diet) were housed together for the duration of feeding. Weights of individual mouse and chow consumptions of each cage were recorded, and chow was changed every 3 or 4 days to monitor expected weight loss as well as ensuring freshness of cuprizone chow. Brains were collected and fixed in 4% paraformaldehyde for 24 h followed by cryoprotection by immersion in 5% sucrose for 24 h then 30% sucrose for 5 days, all at 4 °C.
Histology
Mice were euthanized at 4 and 12 months of age via CO2 inhalation and transcardially perfused with 1X phosphate buffered saline (PBS). For all studies, brains were removed, and hemispheres separated along the midline. Brain halves were either flash frozen for subsequent biochemical analysis or drop-fixed in 4% paraformaldehyde (PFA (Thermo Fisher Scientific, Waltham, MA)) for immunohistochemical analysis. Fixed half brains were sliced at 40 μm using a Leica SM2000R freezing microtome. All brain hemispheres were processed and coronal brain slices (between -2.78 mm posterior and –3.38 mm posterior to Bregma according to the Allen Mouse Brain Atlas, Reference Atlas version 1, 2008) imaged with a Zeiss Axio Scan Z1 Slidescanner using a 10X 0.45 NA Plan-Apo objective. Images were also acquired using a 20X objective via a Leica TCS SPE-II confocal microscope and quantified using Bitplane Imaris Software.
Immunohistochemistry
One representative brain slice from each mouse of the same experimental group (i.e. same genotype, age, and sex) was stained in the same well. Free-floating sections were washed three times with 1X PBS (1 × 10 min and 2 × 5 min) and for Thioflavin-S (Thio-S) staining, 10 min incubation in 0.5% Thio-S (1892; Sigma-Aldrich) diluted in 50% ethanol. Sections were then washed 2X for 5 min each in 50% ethanol and one 10-min wash in 1xPBS. For Amylo-Glo staining, following the PBS washes, free-floating brain slices were washed in 70% ethanol for 5 min and rinsed in deionized water for 2 min before being immersed for 10 min in Amylo-Glo RTD Amyloid Plaque Staining Reagent (1:100; TR-200-AG; Biosensis, Thebarton, South Australia) diluted in 0.9% saline solution. Afterwards, sections were washed in 0.9% saline solution for 5 min then rinsed in deionized water for 15 s before proceeding with a standard indirect immunohistochemical protocol. From the incubation period for both Thio-S and Amylo-Glo onwards, sections were kept under foil or in the dark. Sections were immersed in normal blocking serum solution (5% normal goat serum with 0.2% Triton X-100 in 1X PBS) for 1 h before overnight incubation at 4 °C in primary antibodies diluted in normal blocking serum solution.
Brain sections were stained following a standard indirect technique as described [37, 38] with the following primary antibodies against: ionized calcium-binding adapter molecule 1 (IBA1; 1:2000; 019–19,741; Wako, Osaka, Japan), Aβ1-16 (6E10; 1:2000; 8,030,001; BioLegend, San Diego, CA), glial fibrillary acidic protein (GFAP; 1:1000; AB134436; Abcam, Cambridge, MA), S100β (1:200; AB41548; Abcam), lysosome-associated membrane protein 1 (LAMP1; 1:200; AB25245, Abcam), neurofilament light chain (NfL; 1:200; 171 002; Synaptic Systems, Germany), CD74 (1:500; 151,002; BioLegend), CD11c (1:100.; 50–112-2633; eBioscience), myelin basic protein (MBP; 1:200; MAB386; (Millipore Sigma, Billerica, MA), Synaptophysin (1:1000; S5768; Sigma-Aldrich), PSD-95 (1:500; ab18258; Abcam), Bassoon (BSN; 1:250; AB82958; Abcam), OC (1:1000; AB2286; Sigma-Aldrich). Brain sections were mounted on microscope slides, dried overnight and desiccated for one hour prior to standard Luxol Fast Blue (LFB) staining protocols [39].
High-resolution fluorescence images were obtained using a Leica TCS SPE-II confocal microscope and LAS-X software. For confocal imaging, one field of view (FOV) per brain region was captured per mouse using the Allen Brain Atlas to capture comparable brain regions.
For super-resolution imaging, images of the CA1 stratum radiatum (CA1-SR) hippocampal region of WT, Trem2R47H NSS, 5xFAD and 5xFAD/Trem2R47H NSS animals at 4 and 12 months of age were acquired with identical conditions. Super-Resolution Lattice Structured Illumination Microscopy (Lattice-SIM) was performed using an Elyra 7 microscope system (Carl Zeiss, White Plains, NY). Samples were imaged using a 63 × 1.4NA Plan-Apo objective lens and Immersol 518F (23°C) immersion oil. Images were collected as z-stacks (110 nm step interval, within a depth of 5–8 µm, covering an area of 64 × 64 µm) and for each focal plane, 9 phase images were acquired. Images were then processed using ZEN SIM2 (weak fixed option selected) on the ZEN (black edition) software. Two images per mouse/genotype/age/sex were acquired.
Quantification of soluble and insoluble fraction Aβ and neurofilament light chain
Preparation of samples and quantification of Aβ was performed as described [37, 38]. Micro-dissected hippocampal and cortical regions of each mouse were flash-frozen and processed for biochemical analysis. Samples were pulverized using a Bessman Tissue Pulverizer. Pulverized hippocampal tissue separated for biochemical analysis was homogenized in 150µL of Tissue Protein Extraction Reagent (TPER; Life Technologies, Grand Island, NY), while cortical tissue was homogenized in 1000µL/150 mg of TPER. This composition of TPER includes 25 mM bicine and 150 mM sodium chloride (pH 7.6) to efficiently solubilize proteins within brain tissue following homogenization. Together with protease (Roche) and phosphatase inhibitors (Sigma-Aldrich), the homogenized samples were centrifuged at 100,000 g for 1 h at 4 °C to generate TPER-soluble fractions. For formic acid-fractions, pellets from TPER-soluble fractions were homogenized in 70% formic acid: 75µL for hippocampal tissue or half of used TPER volume for cortical tissue. Afterwards, samples were centrifuged again at 100,000 g for 1 h at 4 °C. Protein in the insoluble fraction of micro-dissected hippocampal and cortical tissue were normalized to its respective brain region weight, while protein in soluble fractions were normalized to the protein concentration determined via Bradford Protein Assay. Formic acid neutralization buffer was used to adjust pH prior to running ELISAs.
Quantitative biochemical analyses of human Aβ soluble and insoluble fraction levels were acquired using the V-PLEX Aβ Peptide Panel 1 (6E10) (K15200G-1; Meso Scale Discovery, Rockville, MD). Quantitative biochemical analysis of neurofilament-light chain (NfL) in plasma was performed using the R-Plex Human Neurofilament L Assay (K1517XR-2; Meso Scale Discovery).
Imaris quantitative analysis
Confocal images of each brain region were quantified automatically using the spots module within Imaris v9.7 then normalized to the area of the field-of-view (FOV). Amyloid burden was assessed by measuring both the total Thio-S+ plaque number normalized to FOV area and their volume via the surfaces module in Imaris. Similarly, volumetric measurements (i.e., Thio-S+ plaque volume, IBA1+ microglia volume, etc.) were acquired automatically utilizing the surfaces module with confocal images of each brain region. Quantitative comparisons between experimental groups were carried out in sections stained simultaneously.
For synaptic quantification, the total number of Bassoon or PSD95 puncta was quantified using the spots function on Imaris. Co-localization of pre- and post-synaptic puncta (Bassoon-PSD95) was determined using the spots function on Imaris and Matlab software to determine the total number of colocalized spots (defined as ≤ 200 nm distance). Results were normalized to the total volume of each image, to correct for any difference in the depth of imaging.
Long-term potentiation
Hippocampal slices were prepared from WT, homozygous Trem2R47H NSS, hemizygous 5xFAD, 5xFAD/ Trem2R47H NSS mice (1–2 slice recordings/mouse for 5–6 mice/sex/genotype totaling to n = 8–12 slices/sex/genotype) at 4 and 12 months of age. Hippocampal slice preparation and long-term potentiation (LTP) recording was performed as described [37, 38]. Following isoflurane anesthesia, mice were decapitated, and the brain was quickly removed and submerged in ice-cold, oxygenated dissection medium containing (in mM): 124 NaCl, 3 KCl, 1.25 KH2PO4, 5 MgSO4, 0 CaCl2, 26 NaHCO3, and 10 glucose. Coronal hippocampal slices (340 µm) were prepared using a Leica VT1000S vibrating tissue slicer before being transferred to an Interface recording containing preheated artificial cerebrospinal fluid (aCSF) of the following composition (in mM): 124 NaCl, 3 KCl, 1.25 KH2PO4, 1.5 MgSO4, 2.5 CaCl2, 26 NaHCO3, and 10 glucose and maintained at 31 ± 1 °C. Slices were continuously perfused with this solution at a rate of 1.75–2.00 ml/min while the surface of the slices were exposed to warm, humidified 95% O2 / 5% CO2. Recordings began following at least 2 h of incubation. Field excitatory postsynaptic potentials (fEPSPs) were recorded from CA1b striatum radiatum using a single glass pipette filled with 2 M NaCl (2–3 MΩ) in response to orthodromic stimulation (twisted nichrome wire, 65 µm diameter) of Schafer collateral-commissural projections in CA1 striatum radiatum. Pulses were administered at 0.05 Hz using a current that elicited a 50% maximal response. Paired-pulse facilitation was measured at 40, 100, and 200 s intervals prior to setting baseline. After establishing a 20-min stable baseline, the orthodromic stimulated pathway was used to induce LTP by delivering 5 ‘theta’ bursts, with each burst consisting of four pulses at 100 Hz and the bursts themselves separated by 200 ms (i.e., theta burst stimulation (TBS)). The stimulation intensity was not increased during TBS. Data were collected and digitized by NAC 2.0 Neurodata Acquisition System (Theta Burst Corp., Irvine, CA).
RNA sequencing
RNA sequencing was performed as described [37]. Frozen tissues were lysed and homogenized using TissueLyser II (Qiagen, Germantown, MD). Total RNAs were extracted using RNeasy Mini Kit (Qiagen) and RNase-Free DNase Set (Qiagen) on a QIAcube (Qiagen) liquid handling platform. RNA integrity number (RIN) was measured by Qubit RNA IQ Assay (Life Technologies) and samples with RIN > = 7.0 were kept for cDNA synthesis. cDNA synthesis and amplification were performed followed by Smart-seq2 [40] standard protocol.
Libraries were constructed using the DNA Prep Kit (Illumina, San Diego, CA) on an epMotion 5070 TMX (Eppendorf, Enfield, CT) automated pipetting system. The 4 months libraries were constructed manually and the 12 months libraries by the epMotion 5070 TMX (Eppendorf) automated pipetting system using the DNA Prep Kit (Illumina).
Libraries were base-pair selected based on Agilent 2100 Bioanalyzer profiles and normalized determined by KAPA Library Quantification Kit (Roche). The libraries were built from 3 to 5 different mice per genotype, sex and tissue (hippocampus) across 2 different timepoints (4 and 12 months). For the cuprizone experiment, whole brains were used for 4 males per genotype per condition (control or CPZ) at 3 months of age. The 4-month-old mouse libraries were sequenced using paired-end 43 bp mode on Illumina NextSeq500 platform with > 14 million reads per sample. The 12-month-old mouse libraries were sequenced using paired-end 101 bp mode on Illumina NextSeq2000 platform with > 28 million reads per sample. Sequences were aligned to the mouse genome (mm10) and annotation was done using GENCODE v21. Reads were mapped with STAR v.2.7.3a and RSEM (v.1.3.3) was used for quantification of gene expression.
Principle component analysis
Principal component analysis of the datasets was calculated in R version 4.5 using the prcomp function of the stats package.
Differential gene expression analysis
Differential gene expression analysis was performed using edgeR per timepoint and genotype. Genes with a log2(Fold Change) > 1 and various threshold for value depending on comparisons were labelled. To compare different sets of genes differentially expressed we created a binary matrix identifying up and downregulated genes across different comparisons. A matrix indicating up or downregulation was later used to plot a heatmap. From the comparisons, lists of genes of interest were chosen to plot a heatmap of their expression and a GO term enrichment analysis using enrichR (https://amp.pharm.mssm.edu/Enrichr/) and the top GO terms plotted.
Weighted correlation gene network analysis
Weighted gene correlation network analysis (WGCNA) was done using PyWGCNA [41] on two different datasets: 1. Trem2R47H dataset with matching controls at 2 different timepoints (4 month and 12 month) in hippocampus for both sexes, 2. Cuprizone and control groups in male brain samples. For both datasets, we used a quantile normalized matrix filtered by genes with more than 1 TPM and without an outlier sample. Based on our datasets, we used power 7 as a soft threshold for first dataset and power 8 for second one. The other parameters were the same for both including: min. module size = 50 and MEDissThres = 0.2. We identified significant modules by calculating the correlation with the traits, then proceeded to plot the behavior per sample of the genes in the white, lightcoral module (first dataset) and darkgrey module (second dataset), by doing a GO term analysis using PyWGCNA.
Nanopore Sequencing
Nanopore libraries were built from three mice per genotype for C57BL/6 J, Trem2 R47H CSS homozygotes and Trem2 R47H NSS homozygotes. Each library was constructed from 200 fmol Smartseq2 cDNA using Ligation Sequencing Kit (SQK-LSK114, Oxford Nanopore Technology, (ONT) Lexington, MA) and NEBNext® Companion Module for ONT Ligation Sequencing (E7180S). The Short Fragment Buffer (SFB) from the Ligation kit was used during the wash steps. Each 10 fmol library was loaded on one R10.4.1 flow cell (FLO-MIN114, ONT) and sequenced using a GridIONx5 Mk1B (ONT) with live base calling using Guppy (v6.2.7) run in super accurate mode.
Long-read nanopore analysis
Adapters were trimmed from reads with Porechop (v0.2.4) with added custom adapter sequence reflecting the new TSO/nanopore chimeric adapters in the libraries. Reads were aligned to the mouse genome (mm10) minimap2 (v2.24) and the GENCODE v21 annotation. Reads were then sorted with samtools (v1.15.1) and flipped with a custom script. Reference-based error correction was done using TranscriptClean [42] with the following options: –canonOnly –primaryOnly –correctMismatches False. TALON [43] was used to quantify and categorize isoforms using default parameters with the addition of –minCount = 3 for the talon_filter_transcripts module.
Statistics
Every reported n represents the number of independent biological replicates. The sample sizes are similar with those found in prior studies conducted by MODEL-AD and were not predetermined using statistical methods [37, 38]. Electrophysiology, immunohistochemical, and biochemical data were analyzed using Student’s t-test or two-way ANOVA via Prism v.9 (GraphPad, La Jolla, CA). Tukey’s post-hoc tests were utilized to examine biologically relevant interactions from the two-way ANOVA. Where sex-differences are apparent, a Student’s t-test was used within genotype group. Outlier tests were performed via Prism v.9 where relevant and any datapoints removed from the analyses acknowledged in the relevant figure legend. *p ≤ 0.05, ** p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001. Statistical trends were accepted at p < 0.10 (#). Data are presented as raw means and standard error of the mean (SEM).
Results
The Trem2R47H NSS mutation promotes loss of oligodendrocyte gene expression in response to cuprizone treatment.
Results of previous studies of mice with the Trem2R47H missense mutation introduced via CRISPR suggested that it acts as a near-complete loss of function, recapitulating phenotypes seen in Trem2 knock-out (KO) mice [34, 36]. However, subsequent analyses of Trem2 expression and splicing in these models identified the unexpected generation of a cryptic splice site and subsequent reduction of Trem2 expression due to the synonymous codon changes introduced as part of the CRISPR repair template [35]. Given the importance of a Trem2R47H mouse model that more accurately recapitulates human cases, we designed alternative CRISPR repair templates, guided in part by Cheng et al., to introduce the R47H mutation into C57BL/6 J mice [44]. Confirmation of the desired sequence change (CGC – > CAT; arginine – > histidine) and synonymous silent codon changes are shown in Fig. 1a. To analyze expression and isoform usage of Trem2 from the Trem2R47H NSS allele, we extracted RNA from whole brains of 15 week old wild-type and Trem2R47H NSS mice, as well as from a cohort of Trem2R47H CSS mice with the identified Cryptic Splice Site (CSS) and reduced expression [35] and conducted Nanopore long-read RNA-seq to examine the association of exons within individual transcripts. We identified three known annotated Trem2 isoforms – Trem2-201 encoding transmembrane TREM2, Trem2-202 encoding secreted TREM2, and Trem2-203 which contains retained introns (Fig. 1b, Supplemental Fig. 1). However, a novel truncated exon 2 containing isoform was abundant in the Trem2R47H CSS brain and was not present in Trem2R47H NSS mice. We designated our model as Trem2R47H NSS (Normal Splice Site, NSS; available at The Jackson Laboratory—stock #034,036). Furthermore, reads of the major isoform, Trem2-201, are reduced in the Trem2R47H CSS brains (> 50% reduction—wild-type mean TPM = 43.7, NSS = 33.8, CSS = 11.03; Fig. 1c).
To further validate the Trem2R47H NSS model we conducted an off-target analyses of any other putative cut sites that might have been targeted by CRISPR-Cas9 during generation of the Trem2R47H NSS allele. Trem2R47H NSS founder mice were backcrossed with wild type C57BL/6 J animals for three generations before use to generate animals for this study, making it unlikely that a mutation caused by an off-target effect of CRISPR/Cas9 would be present on a chromosome other than chromosome 17, i.e., the location of Trem2 (C57BL/6 J; Chr17; 48.6 Mb, GRCm39, Ensembl release 108). Potential CRISPR/Cas9 off-target sites with up to four mismatches using crRNA TMF1342 were screened for using Cas-OFFinder (http://www.rgenome.net/cas-offinder/; [45]). Eleven potential off-target sites on mouse chromosome 17 were identified (Supplemental Table 2). Two potential off-target sites were within coding exons of genes, six were within introns, while the remaining three were within intergenic regions. To screen for evidence of CRISPR/Cas9 RNP activity at each site, DNA from a wild-type and homozygous Trem2R47H NSS mouse was amplified by PCR using the primers listed (Supplementary Table 1) then sequenced across the potential off-target region at each locus (Supplemental Fig. 2a-k). None of the 11 potential off-target sites showed a difference in sequence between WT and homozygous Trem2R47H NSS mice. Moreover, no significant change in gene expression was seen in any of these 11 genes via RNA-seq from whole brain extracted RNA (Supplemental Table 2). We also explored transcript isoform production from these genes through long-read RNA-seq and found no change (e.g. data for Zpf945 shown in Supplemental Fig. 2l, m).
Having confirmed correct expression, isoform usage, and an absence of off-target genomic effects, we next assessed the impact of the Trem2R47H NSS variant on microglial function and tested if it acts as a loss of function allele using a cuprizone model of demyelination [46]. Both myelin and fibrillar Aβ act as TREM2 ligands and induce a distinctive gene expression profile in microglia known as a Disease Associated Microglia (DAM) signature, which can be explored with cuprizone. For comparison, we included cohorts of Trem2R47H CSS mice, as well as Trem2 KO mice. These 3 groups and a wild-type group, were treated with cuprizone (0.3%) or control chow for 6 weeks (Fig. 1d), then were euthanized at 15 weeks and brains examined by histology and bulk RNA-seq. Only male mice were used for the cuprizone study due to the influence of estrogen and progesterone on myelination, as well as evidence of the treatment disrupting estrous cycle in mice [47, 48]. RNA was extracted from half brains, and bulk RNA-seq conducted, with a principal component analysis (PCA) plot for all samples shown in Supplemental Fig. 3a. Trem2 expression values were plotted, showing that Trem2R47H NSS mice have similar Trem2 expression levels to wild-type mice consistent with results of the long-read RNA-seq analysis, and that both Trem2R47H CSS and Trem2 KO mice have reduced expression (Fig. 1e). Notably, with cuprizone treatment, Trem2 levels increased similarly in wild-type and Trem2R47H NSS mice, but to a lesser extent in Trem2R47H CSS mice.
Luxol Fast Blue staining for myelin confirmed demyelination in all cuprizone treated mice with no overt difference in the extent of demyelination between the four groups (Fig. 1f, g). Plasma neurofilament light-chain (NfL) reflects axonal damage in the brain [49]. Interestingly, cuprizone treatment/demyelination did not increase plasma NfL in either WT mice, or the Trem2 variants/KO, although a substantial elevation of plasma NfL was present in Trem2 KO mice independent of cuprizone treatment (Fig. 1h). Immunofluorescence analysis for microglia (IBA1) and DAM marker CD11c (encoded by Itgax) reveals extensive microgliosis in the corpus callosum of cuprizone treated wild-type, Trem2R47H NSS, and Trem2R47H CSS mice, and to a lesser extent Trem2 KO mice (Fig. 1i, j). While CD11c expression is induced in cuprizone treated wild-type, Trem2R47H NSS, and Trem2R47H CSS mice, no induction is observed in the Trem2 KO mice (Fig. 1k).
Volcano plots of brain gene expression in cuprizone treated vs. control mice across the 4 groups reveal that animals in wild-type, Trem2R47H NSS, and Trem2R47H CSS groups all show clear upregulation of inflammatory genes in response to cuprizone that is markedly suppressed in the Trem2 KO group (Fig. 2a). We selected differentially expressed genes (DEGs) from the Trem2R47H NSS mice (FDR < 0.05 for cuprizone vs. control) and created a heatmap to compare the response to that in the other 3 groups (Fig. 2b). Upregulated genes are all associated with inflammation and are mostly shared with the wild-type and Trem2R47H CSS groups and include DAM genes such as Apoe, Clec7a, and Itgax (Fig. 2c), consistent with CD11c histology (Fig. 1k). Some inflammatory genes are also significantly upregulated in Trem2 KO mice suggesting their induction is Trem2 independent and includes more classical inflammation related genes such as C1qa, Hmox1, Tyrobp, and Trem2 itself (Fig. 2d and Supplemental Fig. 3b). Downregulated genes in Trem2R47H NSS include a unique set not altered in wild-type, Trem2R47H CSS, or Trem2 KO groups, and are associated with dopaminergic signaling in the striatum (Fig. 2e). Shared downregulated genes are associated with myelin and oligodendrocytes, including Cldn11, Mal, Mobp, Opalin, and Plp1 (Fig. 2f), suggesting that demyelination induced by cuprizone is not dependent upon the Trem2-dependent inflammation. Comparisons of DEGs between the three genotypes compared to wild-type in the absence of cuprizone treatment are shown as volcano plots (Supplemental Fig. 3c). Notably, Trem2R47H CSS brains show more DEGs compared to wild-type mice than Trem2R47H NSS (Supplemental Fig. 3d). Likewise, exploration of the number of DEGs induced by cuprizone in each of the four genotypes further revealed an extensive number of genes induced in the Trem2R47H CSS brains that are not induced by cuprizone in wild-type, Trem2R47H NSS or Trem2 KO brains (Supplemental Fig. 3e; shown as a heatmap in Supplemental Fig. 3f).
To further explore gene expression changes across the groups, we analyzed functional networks of correlated genes (weighted correlation gene network analysis (WGCNA)) and identified two modules (White and Lightcoral) associated with cuprizone treatment (Fig. 2g). White module eigengene values were increased with cuprizone to similar extents in Trem2R47H NSS and Trem2R47H CSS mice, but significantly decreased in Trem2 KO compared to wild-type mice (Fig. 2h), with gene ontology being associated with inflammation (Fig. 2i). Lightcoral module eigengene values were reduced in both Trem2R47H NSS and Trem2 KO mice with cuprizone but not in wild-type or Trem2R47H CSS mice (Fig. 2j), and gene ontology associated with myelination and lipid metabolism (Fig. 2k), suggesting that the presence of Trem2R47H NSS induces the appropriate inflammatory response to demyelination yet exacerbates its effects on myelination gene expression compared to wild-type Trem2. As myelin acts as a TREM2 ligand, inducing similar gene expression changes in microglia as exposure to Aβ plaques, we then compared all modules to AMP-AD identified modules that define gene expression changes in AD [50], for significant gene overlap (Supplemental Fig. 4). Notably, the White module (i.e., microglia/inflammation) strongly overlaps with the immune response and cytokine signaling AMP-AD modules, while the Lightcoral module (i.e., myelin and lipid metabolism related) strongly overlaps with the myelination AMP-AD modules. In addition to these two modules, the Lightgray module has significant overlap with the neuronal-related AMP-AD modules and is significantly inversely correlated to gene expression in Trem2R47H NSS, but not Trem2R47H CSS or Trem2 KO brains (Fig. 2g). Collectively, these results show that Trem2R47H NSS mice show appropriate expression of Trem2 transcripts, and that the Trem2R47H NSS allele does not function as a null allele as assessed by cuprizone challenge.
The Trem2R47H NSS allele produces disease stage dependent effects on plaque density, size, and intensity
To investigate the contributions of Trem2R47H to the pathogenesis of AD, we bred Trem2R47H NSS mice with 5xFAD mice on a congenic B6J background to generate 4 groups: (i) wild-type, (ii) homozygous Trem2R47H NSS, (iii) hemizygous 5xFAD, and (iv) hemizygous 5xFAD; homozygous Trem2R47H NSS. We used Trem2R47H NSS homozygotes rather than the heterozygous TREM2R47H allele found in human AD individuals, to exacerbate phenotypes associated with the R47H mutation. Hereafter, for simplicity we refer to the Trem2R47H NSS genotype as Trem2R47H. Mice were aged to 4 and 12 months and analyzed. Four-month-old 5xFAD mice are in their rapid plaque growth stage, which then plateaus throughout the brain by ~ 8–12 months depending on brain region [37]. While plaque densities are similar for both 5xFAD and 5xFAD/Trem2R47H 4-month-old mice when collapsed cross the sexes (Fig. 3c, e), homozygosity for Trem2*R47H induces a robust sex difference in the manifestation of Thio-S+ plaques in both the cortex and subiculum, with lower plaque load in male 5xFAD/Trem2R47H vs. 5xFAD mice (Supplemental Fig. 5b, n). Similar sex differences for plaque densities have been reported for Trem2 KO mice crossed with 5xFAD mice [51]. Furthermore, female 5xFAD/Trem2R47H mice exhibit increased plaque volume in the cortex compared to the age-matched 5xFAD mice (Supplemental Fig. 5e). Plaques in the subiculum of 4-month-old 5xFAD/Trem2R47H mice are smaller with reduced mean plaque intensity compared to 5xFAD mice (Fig. 3f, g). Differences in the effects of Trem2R47H on plaque volume between the cortex (where they are larger) and subiculum (where they are smaller) may be disease stage dependent as pathology begins earlier in the subiculum than the cortex, where at this timepoint plaques are only just beginning to form. Immunostaining for Aβ fibrillary oligomers using the conformation specific antibody OC, revealed less OC+ material, which includes more diffuse material in addition to the dense cores, in 5xFAD/Trem2R47H compared to 5xFAD mice in the subiculum at 4 months (Fig. 3h, i). Quantification of Thio-S+ plaques in the visual cortex at the 12-month time point shows no differences (Fig. 3k-l), but there is a trend towards increased plaque volume in male compared to female 5xFAD/Trem2R47H mice (Supplemental Fig. 5h). In the subiculum, 5xFAD/Trem2R47H mice have higher plaque counts with comparable sizes (Fig. 3m-n). However, increased mean Thio-S+ plaque intensity in 5xFAD/Trem2R47H mice is seen, with no difference in OC+ plaques (Fig. 3o-q). In the cortex, however, there is no difference in either mean plaque intensity or total OC+ volume at both 4- and 12-months (Supplemental Fig. 6).
We quantified Aβ40 and Aβ42 in detergent soluble and insoluble fractions from microdissected hippocampi and cortices. At 4 months of age, increased soluble Aβ40 and 42 are found in the 5xFAD/Trem2R47H hippocampus (Fig. 4h) and a trending reduction in soluble Aβ42 in the cortex (Fig. 4f), but no difference in the insoluble fraction in either brain region (Fig. 4a-d), compared to 5xFAD mice. By 12 months of age, Aβ is increased in both brain regions and fractions, with increased soluble Aβ42 in the hippocampus and increased insoluble Aβ40 and 42 in the cortex of 5xFAD/Trem2R47H mice (Fig. 4i-p) compared to 5xFAD mice. Collectively, these results show that Trem2R47H impacts the level of both plaque and Aβ in a brain region and age-specific manner.
Initial impairment in microglial-plaque interactions is lost with age/disease progression
Given the expression of Trem2 by microglia in the brain, we looked for changes in microglial densities and morphologies in both a non-pathologic and early pathologic (i.e., cortical regions of 5xFAD mice without overt dense core plaque load) state. Morphological analyses of cortical IBA1+ microglia showed increased process length but decreased diameter in Trem2R47H compared to WT mice, while these differences were less apparent in the 5xFAD hemizygous background (Fig. 5a, b; images and sample analyses shown in Supplemental Fig. 7). We next imaged microglia and plaques in the visual cortex and subiculum (Fig. 5c, d). At 4-months old, as expected, the sex difference observed in plaque load of 5xFAD/Trem2R47H mice is reflected in cortical microglial density with females showing higher microglia and plaque densities (Fig. 5e; data separated by sex included in Supplemental Fig. 8). In the subiculum, where Thio-S+ plaques are abundant, IBA1+ microglial density and size are increased in 5xFAD and 5xFAD/Trem2R47H compared to wild-type mice (Fig. 5g, h). However, IBA1+ cell densities and volumes of 5xFAD/Trem2R47H are lower than 5xFAD mice (Fig. 5g, h). Notably, in both brain regions, Trem2R47H mice exhibit lower IBA1+ cell volume compared to WT, indicating that the Trem2R47H variant elicits a plaque-independent effect on microglia morphology (Fig. 5f, h). A lack of plaque-microglia interaction is found in 5xFAD/Trem2R47H mice as shown through quantification of Thio-S and IBA1 colocalization in the subiculum, with a further impairment in female 5xFAD/Trem2R47H mice compared to males (Fig. 5o). However, the decreased microglia volume in Trem2R47H mice and 5xFAD/Trem2R47H compared to WT and 5xFAD, respectively, is absent at 12-month (Fig. 5 j, l), as is the impairment in plaque-microglia interaction, suggesting age/disease-dependent changes in the Trem2R47H variant effect on microglia morphology and function (Fig. 5m-p).
We quantified astrocytes in the visual cortex and subiculum and found that the Trem2R47H variant has minimal effects on the astrocytic response to plaques at both 4- and 12-months (Supplemental Fig. 9).
Trem2R47H increases neuronal injury in response to plaques
Microglia form a protective barrier around plaques while contributing to their compaction and growth [21]. Given the initial impairment in microglial-plaque interactions in 5xFAD/Trem2R47H mice we next explored the halo of dystrophic neurites that develops around dense-core plaques [52, 53] which can be visualized with lysosomal-associated membrane protein 1 (LAMP1, Fig. 6a, b). Normalization of LAMP1 volume to plaque volume reveals an increase in dystrophic neurites per plaque area in 5xFAD/Trem2R47H mice at 4 months of age (Fig. 6c). Consistent with the restoration of microglial-plaque interactions at 12 months of age, no difference in dystrophic neurites per plaque is seen between 5xFAD/Trem2R47H and 5xFAD mice at this age (Fig. 6d). Twelve-month-old 5xFAD females have more dystrophic neurites than male (Fig. 6d). Interestingly, LAMP1+ dystrophic neurites exhibit a more dissipated morphology at 12-month compared to 4-month, consistent with disrupted axonal transport at later age/disease stages [54].
Neurofilament light chain (NfL) is emerging as a clinically useful plasma biomarker for damage occurring in the brain, including in AD where it tracks with cortical thinning and cognitive decline [55–57], while in mouse models of AD it correlates with plaque load [38]. We measured plasma NfL as a surrogate marker of brain damage and found it increased in 5xFAD mice compared to WT mice at 4 months of age, with further increase at 12-months of age, consistent with plaque load (Fig. 6e). The Trem2R47H variant increased plasma NfL in 5xFAD at both ages (Fig. 6e), in line with the hypothesis that TREM2 dysfunction exacerbates neuronal damage. We also measured NfL levels in the detergent soluble and insoluble fractions of microdissected cortices (Fig. 6f, g). NfL in the soluble fraction is not increased in 5xFAD mice compared to WT at either 4 or 12 months of age but is elevated by the presence of Trem2R47H (Fig. 6f). NfL in the insoluble fraction aligns with levels in the plasma, with increases seen in 5xFAD compared to wild-type mice at 4 months and further increases at 12 months (Fig. 6g). As with plasma, NfL levels further trend higher in 5xFAD/Trem2R47H mice. Thus, the presence of Trem2R47H induces changes in NfL, and further exacerbates plaque-induced increases in both detergent insoluble and plasma NfL. To identify the cellular source of NfL, we immunostained for dystrophic neurites (LAMP1) and NfL. Large spherical structures of NfL are seen in the vicinity of plaques and are absent from wild-type and Trem2R47H mice, where staining is observed only in axonal fibers (Fig. 6a, b). Similar bead-like NfL+ spheroids were reported in ischemia-affected human and mouse tissues as sign of axonal damage [58]. Notably, these NfL spheroids colocalize with dystrophic neurites associated with plaques (Fig. 6h, k). Quantification of NfL+ structures showed a decreased spheroid number in 5xFAD/Trem2R47H compared to 5xFAD, while having similar size at 4-month (Fig. 6i, j). At 12-month, no difference in NfL+ spheroid number or size is observed between 5xFAD and 5xFAD/Trem2R47H brains. However, in 5xFAD, there is a sex difference with females having more NfL compared to males, which is also observed in LAMP1+ dystrophic neurite amount (Fig. 6d; data separated by sex included in Supplemental Fig. 10). Collectively, these findings reveal associations between plaques and dystrophic neurites with NfL accumulation and its transition to the insoluble fraction and plasma NfL.
Trem2R47H protects against plaque-induced LTP and synaptic deficits
Due to the increased dystrophic neurites induced by the R47H variant, we investigated short- and long-term synaptic plasticity in WT, Trem2R47H, 5xFAD, and 5xFAD/Trem2R47H hippocampi via theta burst-induced pair-pulse facilitation (PPF) and long-term potentiation (LTP) in acute hippocampal slices. Consistent with our previous findings [37], 5xFAD have impaired LTP at 4 months of age. Remarkably, this impairment is suppressed by the presence of Trem2R47H (Fig. 7a, b), with no change in PPF (Fig. 7c). Consistent with a lack of LTP impairment in 5xFAD/Trem2R47H mice, immunostaining of pre-synaptic (Bassoon) and post-synaptic (PSD-95) elements at the CA1 stratum radiatum (CA1-SR) using super-resolution structured illumination microscopy revealed a decrease in co-localized pre- and post-synaptic puncta in 5xFAD animals compared to wild-type mice, which is not seen in 5xFAD/Trem2R47H mice compared to Trem2R47H mice (Fig. 7d, e). At 12-months of age, LTP deficits are also seen in Trem2R47H, as well as 5xFAD, and, to a lesser degree, 5xFAD/Trem2R47H, compared to WT animals (Fig. 7f, g). Notably, PPF responses in 12-month-old mice show a decrease in presynaptic plasticity in both 5xFAD and 5xFAD/Trem2R47H compared to their non-5xFAD controls at 40 ms and 100 ms stimulus intervals, although, the effect in 5xFAD/Trem2R47H is absent at 200 ms interval (Fig. 7h). Quantification of CA1-SR synapses at 12 months recapitulates the LTP results—reduction of synaptic co-localization in Trem2R47H and 5xFAD compared to WT with a trending rescue in the 5xFAD/Trem2R47H vs 5xFAD (Fig. 7i, j). Postsynaptic elements are also decreased in 12-month-old Trem2R47H compared to WT, along with an increase in 5xFAD/Trem2R47H vs 5xFAD, which reflect the observed fEPSP (Fig. 7g) and mean potentiation data (Supplementary Fig. 11 l). Lastly, basic synaptic transmission was assessed by examining the input–output relationship of the synaptic response in all four groups of mice (Supplemental Fig. 11). As stimulus intensities increased, the amplitude of the fiber volley is significantly reduced in slices from 4 months 5xFAD, Trem2R47H and 5xFAD/Trem2R47H mice relative to WT controls indicating reductions in synaptic transmission (Supplemental Fig. 11a-c). By 12 months of age, the amplitude of the fiber volley over a range of stimulus intensities is indistinguishable from control WT. However, a slight reduction in the slope of the fEPSP is measured in all three experimental groups with respect to controls (Supplemental Fig. 11 g-i). These results suggest that 5xFAD mice may have a reduction in afferent activation, but also reveals deficits in synaptic transmission in Trem2R47H and 5xFAD/Trem2R47H mice that are not fully explained by long-term plasticity changes.
Trem2R47H initially suppresses then enhances neuroinflammation with age/disease progression, including production of a unique interferon signature
To assess gene expression changes with age, sex and genotype, we performed RNA-seq from microdissected hippocampi from 4- and 12-month-old WT, Trem2R47H, 5xFAD, and 5xFAD/Trem2R47H mice. PCA plots show clustering of 4 vs 12-month samples accounting for most of the variance between samples (Supplemental Fig. 12a). Volcano plots illustrate changes in gene expression in Trem2R47H relative to WT mice, 5xFAD relative to WT, and 5xFAD/ Trem2R47H relative to 5xFAD mice at both 4- and 12- month timepoints (Fig. 8a). Differentially expressed genes (DEGs) in 5xFAD mice vs. WT mice at both ages are mostly upregulated genes and represent the strong inflammatory response seen in these mice, and include DAM genes such as Cst7, Itgax, Clec7a, as well as Trem2. Identified Trem2-dependent and -independent induction of inflammatory genes from the cuprizone experiments are shown as a heatmap in Supplemental Fig. 12b and c. DEGs between 5xFAD/Trem2R47H vs 5xFAD mice at 12 months are plotted as a heatmap (Fig. 8b; FDR < 0.1, no FC cutoff). Notably, this subset consists of downregulated circadian related genes, Ciart and Dbp, compared to 5xFAD mice, but upregulation of many genes associated with interferon signaling, such as Ifi47, Ifit1-3, and Gbp2, 6, and 7 (Fig. 8b). These interferon-related genes are also involved in a highly connected gene network (Fig. 8c).
To focus on the inflammatory response, we first selected homeostatic and disease-associated microglia genes and displayed them as a heatmap (Fig. 8d). This revealed a suppression of these genes in 4-month-old 5xFAD/Trem2R47H hippocampi compared to 5xFAD hippocampi that was absent at 12 months of age. To further explore gene expression changes across the groups, we analyzed functional networks of correlated genes (WGCNA; module – trait relationships shown in Supplemental Fig. 12d) and identified a module containing inflammation associated genes (Fig. 8f; Darkgrey). We plotted eigengene values of this inflammation module for all groups (Fig. 8e), revealing an increase in 4-month-old 5xFAD mice compared to both WT and Trem2R47H mice, corresponding to the inflammatory response to the plaques in those mice. Notably, no such increase in eigengene value is observed in 4-month-old 5xFAD/Trem2R47H mice, showing a suppression of inflammation at the 4-month timepoint compared to 5xFAD mice, mirroring the LTP and synaptic deficits seen in these mice. However, by 12 months of age, robust increases in the inflammation module eigengene values are seen in both 5xFAD and 5xFAD/Trem2R47H mice, with the presence of Trem2*R47H inducing an even higher increase (Fig. 8e). This further shows the initial suppression of inflammation induced by the Trem2*R47H variant dissipates with time/age/disease progression, consistent with the results of histology. We next compared all modules with the AMP-AD identified modules that define gene expression changes in AD brains [50]. The Darkgrey inflammatory module shares a significant and substantial overlap with the immune response and cytokine signaling modules (Supplemental Fig. 13a), which we established is enhanced in 12-month-old 5xFAD/Trem2R47H compared to 5xFAD mice (Fig. 8e). The Lightgrey module has significant overlap with the AMP-AD neuronal systems modules and plotting of the eigengene values reveals a significant decrease in this module in 12-month-old 5xFAD/Trem2R47H compared to 5xFAD mice (Supplemental Fig. 13b). Finally, the Snow module shows significant overlap with the AMP-AD myelination related modules and plotting of the eigengene values reveals a clear effect of Trem2R47H on this module in 12-month-old mice, regardless of 5xFAD genotype (Supplemental Fig. 13d). Collectively, these results show that the presence of the Trem2R47H variant induces a gene expression signature that better matches the spectrum of gene expression changes in human AD brains.
Given sex-specific transcriptional changes previously reported in TREM2R47H variant-carrying AD patients and mice expressing TREM2R47H cDNA crossed with PS19 mice, we explored gene expression changes in male and female mice comparing 5xFAD/Trem2R47H with 5xFAD at 12 months [18]. Interestingly, 5xFAD/Trem2R47H female mice show a unique gene expression signature compared to the age-matched 5xFAD mice (Fig. 8 g-h), which is not seen in males. Moreover, most of the genes downregulated in 5xFAD/Trem2R47H females are highly upregulated in WT and less so in 5xFAD females, yet this effect is not observed in Trem2R47H, suggesting the presence of the Trem2R47H variant dampens the expression of these genes in non-disease and further exacerbates in a disease model (Fig. 8h). Gene ontology analyses suggests these genes are involved in dendrite development, chemical synaptic transmission, and pathways such as circadian rhythm and axonal guidance (Fig. 8i-j).
Given the selective downregulation of Itgax and CD74 at 4-months-of-age between 5xFAD/Trem2R47H and 5xFAD mice (Fig. 8a), we performed immunofluorescence for both markers (Supplemental Fig. 14a, b), alongside microglia and plaques. CD11c (Itgax) and CD74 staining were seen in a subset of plaque-associated microglia, with greater numbers at 12- vs. 4-months of age. Concordant with gene expression data, CD11c and CD74 staining was reduced at 4-months of age (Supplemental Fig. 14e, f). However, at 12 months old, despite not reaching FDR of 0.1, Itgax TPM level, when examined independently and separate from other genes, shows a significant decrease in 5xFAD/Trem2R47H compared to 5xFAD (Supplemental Fig. 14g), which is also observed via immunohistochemistry (Supplemental Fig. 14i). CD74 staining (Supplemental Fig. 14j) is also reflective of CD74 TPM level at 12 months (Supplemental Fig. 14h) with no difference between 5xFAD and 5xFAD/Trem2R47H.
Collectively, these results show that the Trem2R47H variant mediates an initial suppression of inflammation in response to plaques in 5xFAD mice, which is reversed and exacerbated with age/disease progression. Furthermore, the Trem2R47H variant generates a unique interferon-related gene expression signature in 5xFAD mice.
Discussion
The identification of coding sequence changes in TREM2 that were strongly associated with increased risk for development of LOAD focused interest on both TREM2 function and microglia, which predominantly express TREM2 in the brain [13, 14]. Initial studies of Trem2 KO mice found that TREM2 was necessary for the microglial reaction to plaques, as well as their transition to a “DAM” phenotype, characterized by the specific expression of genes such as Cst7, Clec7a, Itgax, and Apoe [59]. Furthermore, the absence of TREM2, coinciding with a lack of microglial reaction to plaques, appeared to paradoxically worsen disease progression [60–62]. Although these KO studies validated TREM2 as a key and central player for microglia in the pathogenesis of AD, they did not address how missense mutations in the protein could modify the risk of developing LOAD with age. Furthermore, a caveat with the interpretation of functional endpoints from AD models crossed with Trem2 KO mice is that loss of TREM2 function (or its binding partner DAP12) in humans results in Nasu-Hakola disease, a white matter-targeting age-dependent neurodegenerative disease [63], suggesting that absence of TREM2 has detrimental effects on the brain in the absence of plaques.
The R47H missense mutation in TREM2 is strongly and reproducibly linked to LOAD, and since its discovery, multiple studies have attempted to model this mutation in mice and rats. Several approaches have produced TREM2R47H models, including via bacterial artificial chromosome (BAC) and via CRISPR/Cas9 technology. BAC transgenic mice expressing human common variant (CV) and R47H variants of TREM2 have been crossed with Trem2 KO/5xFAD mice, with the resultant phenotype phenocopying Trem2 KO, therefore suggesting the TREM2R47H variant is a loss-of-function allele of TREM2 [64]. As an extension of this approach, human TREM2R47H and common variant cDNA has also been knocked into the mouse Trem2 locus [18], such that animals express human TREM2, but without the full complement of regulatory machinery. Crossing of these mice with the PS19 mouse model of tauopathy found that the R47H variant exacerbates damage and inflammation and does not function as a loss of function variant [18], unlike similar crosses of PS19 mice with the human BAC TREM2R47H model which actually protected against microglia activation and subsequent neurodegeneration [65], as did crosses with PS19 mice and Trem2 KO mice [66, 67]. In addition to these humanized approaches, several Trem2R47H mouse models have been generated via CRISPR/Cas9 technology and have reported similar findings as Trem2 KO mice [34, 35]. However, it has since been reported that introduction of the R47H variant into mouse Trem2 produced aberrant splicing, due to synonymous base changes co-introduced with repair templates to arrest Cas9 mediated cleavage, as we confirm here with long-read RNA-seq [35]. These models display significantly reduced Trem2 expression [35], effectively making them hypomorphic alleles of Trem2 that do not accurately reflect the human condition. Understanding how TREM2 and its variants influence the development of LOAD is critical for our understanding of the disease. Therefore, the production of animal models that faithfully reproduce human gene function is crucial to accurately recapitulate the disease in rodents. To that end we, as part of the Model Organism Development and Evaluation for Late-onset Alzheimer’s Disease (MODEL-AD) consortium, embarked on the development of a Trem2R47H mouse variant without the shortcomings of artificial cryptic splicing and reduced expression, by using a CRISPR/Cas9 approach utilizing a repair template based on a previous study [44]. The resultant Trem2R47H NSS mouse has normal Trem2 expression and normal splicing and is available without restriction to both academic and commercial entities (Jax stock: #034,036). Why the Trem2R47H NSS allele and that generated by Xiang et. al do not appear to display cryptic splicing within exon 2 of Trem2 is unclear (Supplemental Fig. 15) [35]. To investigate whether correct introduction of the R47H mutation results in a loss of function of TREM2, we utilized the cuprizone model of demyelination, as both myelin and Aβ act as TREM2 ligands, to assess the capacity of microglia to clear white matter debris and found that our model shared similar inflammation responses and pattern as wild-type mice, unlike cuprizone treated Trem2 KO mice. However, despite normal induction of microglial evoked inflammation (including expression of “DAM” genes), we see evidence of increased oligodendrocyte gene expression loss in both Trem2R47H NSS and Trem2 KO mice, consistent with the notion that dysfunction or absence of TREM2 exacerbates damage in response to a suitable stimulus. Thus, the presence of the R47H variant with normal Trem2 expression levels does not appear to function as a loss of function allele in response to a cuprizone challenge in terms of a microglial response but does phenocopy the exacerbated damage inferred by the null allele.
To give relevance to AD, we crossed Trem2R47H NSS mice with the 5xFAD mouse model of amyloidosis and evaluated pathology and gene expression at 4 and 12 months of age. We identified a consistent sex difference in the initial appearance of plaques (4 months), with female Trem2R47H mice producing more plaques compared to their male counterparts. Notably, a similar sex difference has also been observed in Trem2 KO mice crossed with APP1/PS1 mice ([51]; females have more plaques) and human TREM2R47H cDNA mice crossed to the PS19 tauopathy model (females have more inflammatory gene expression and spatial memory deficits), as well as transcriptomic analysis of R47H-carrying AD patients ([18]; females upregulating immune activation pathways while males upregulate metabolic and adenosine triphosphate pathway). No significant sex difference was observed by 12 months of age, but plaque density was increased by the presence of the R47H mutation, while both soluble and insoluble Aβ levels are also increased. Consistent with the R47H variant inferring a loss-of-function phenotype, the initial microglia-plaque interaction is impaired, resulting in smaller and less compacted plaques yet an increase in dystrophic neurites produced by those plaques, in line with prior data from Trem2 KO mice [61, 62, 68]. However, these impairments between microglia and plaque interactions are absent by 12 months of age yet resulting in potential over-compaction of plaques, suggesting an overcompensation of microglial behavior with time.
Supporting these data, gene expression from microdissected hippocampi mirrors the initial impairments between microglia and plaques, with reduced expression of DAM genes such as Itgax and Cd74. However, by 12 months, when no impairments between microglia and plaques are seen, these DAM genes are no longer reduced with the exception of Itgax, where immunostaining suggests a decrease in protein level despite the reduction in Itgax expression not reaching FDR significance. The presence of the R47H variant induces a selective upregulation of interferon related genes such as Ifi47, Ifit1-3, and Gbp2, 6, and 7, which are all key players in pathogen response [69]. A similar interferon signal was also reported in R47H-carrying AD patients [18]. Furthermore, the WGCNA identified inflammatory module (Darkgrey) revealed increases in inflammation in the 5xFAD mice at 4 months of age were prevented by the presence of the R47H variant, but exceeding 5xFAD levels by 12 months of age. Thus, the R47H variant appears to confer age and disease specific effects on microglia. Of direct relevance and validating these results, similar findings have been shown in human AD tissue from TREM2 variant carriers, in which microglial responses to pathology are suppressed in newly formed pathological areas but exacerbated in more advanced pathological brain areas [70]. A further module, Lightgrey, shows considerable overlap with neuronal modules identified in AD brains by AMP-AD [50], and is selectively decreased in 12-month-old 5xFAD/Trem2R47H brains.
Given the fact that the R47H TREM2 variant has been associated with several neurodegenerative diseases, we have also focused on how this variant may be more permissive of damage exerted on the brain by the relevant pathology, in this case plaques. As mentioned earlier, we see initial increases in dystrophic neurites induced by plaques in the presence of the R47H variant, supporting this notion. We further demonstrate increased plasma NfL, a reliable marker of brain injury that tracks with cortical thinning and cognitive decline in AD populations [55–57, 71], in the presence of plaques. We localized NfL in the brain to being associated with dystrophic neurites induced by plaques/microglia and found that NfL level in the brain insoluble fraction correlated with levels in the plasma. Collectively, these results highlight how the Trem2R47H variant can induce greater damage on clinically relevant endpoints.
Noticeably, at 4 months, despite an increase in dystrophic neurites, the presence of the Trem2R47H variant in a 5xFAD background protected against LTP deficits found in the 5xFAD mice, as well as protected against loss of synaptic puncta, consistent with reported effects of the R47H variant in the PS19 mouse model of tauopathy [65]. While the impaired microglia-plaque interactions induced by the Trem2R47H variant promotes dystrophic neurites consistent with previous findings [21, 60], the blunted microglial function also prevents increases in inflammatory gene expression which could explain the lack of LTP deficits and synaptic loss at 4 months. Notably, by 12 months of age, Trem2R47H NSS mice on a WT background also demonstrated robust impairments in LTP, as well as synaptic puncta loss. Similar results have been reported in a Trem2R47H rat model, further implicating microglia and dysfunctional Trem2 in effecting neuronal structure and function [72]. Moreover, at 12 months, although there is an overcompensation of microglial response with increased inflammatory gene profiles, there is still a lack of LTP and synaptic loss, suggesting that TREM2 and microglia have multiple actions that run counter to one another at different disease stages.
Conclusions
A major objective of this study is to provide the scientific community with a reliable and well-characterized mouse Trem2R47H knock-in model and highlight how this variant has age- and disease- dependent effects on microglia and neuropathology, mirroring reported human data. We demonstrate that Trem2R47H has effects on the synaptic landscape with age, coinciding with robust impairments in LTP. Collectively, these results help to clarify prior data obtained from amyloidosis models crossed with Trem2R47H mice with unintended hypomorph phenotypes [34, 35], and add to our understanding of how microglia and TREM2 contribute to the pathogenesis of AD.
Supplementary Information
Acknowledgements
We thank Shilpa Sambashivan for generously providing access to bulk RNA-seq data sets. The authors acknowledge the support of the Chao Family Comprehensive Cancer Center Optical Biology Core and the Transgenic Mouse Facility shared resources supported in part by the National Cancer Institute of the National Institutes of Health under award number (P30CA062203) and Center for Complex Biological Systems Support Grant (GM-076516) at the University of California, Irvine.
Abbreviations
- AD
Alzheimer’s disease
- TREM2
Triggering receptor expressed on myeloid cells 2
- Aβ
Amyloid-beta
- NSS
Normal splice Site
- CSS
Cryptic splice Site
- GWAS
Genome-wide association studies
- LOAD
Late-onset alzheimer’s disease
- PBS
Phosphate buffered saline
- PFA
Paraformaldehyde
- fEPSPs
Field excitatory postsynaptic potentials
- PPF
Pair-pulse facilitation
- LTP
Long-term potentiation
- aCSF
Artificial cerebrospinal fluid
- WGCNA
Weighted gene correlation network analysis
- CPZ
Cuprizone
- ThioS
Thiosflavin-S
- DEGs
Differentially expressed genes
- DAM
Disease-associated microglia
- NfL
Neurofilament light chain
- LTP
Long-term potentiation
- APP
Amyloid precursor protein
- PSEN
Presenilin
- DAP12
DNAX-activation protein of 12 kb
- SYK
Spleen tyrosine kinase
- PI3K
Phosphatidylinoaitol-3-kinase
- BAC
Bacterial artificial chromosome
- ITAM
Immunoreceptor tyrosine-based activation motifs
- WT
Wild-type
Authors’ contributions
KMT, SK, EAK, NR, HYL, JSS, AG-A, MA, CDC, JP, SW, SC, AW, K X-S, JN, GF, ZS, GM, DIJ, KT, MG and SF performed experiments and analyzed data. KMT, GRM and KNG analyzed and reviewed all data and wrote the manuscript with contributions from all authors. VS, AJT, FL, MAW, AM, GRM, and KNG designed the study, managed the project, and contributed to the manuscript. All authors read and approved the final manuscript.
Authors’ information
Not applicable.
Funding
This study was supported by the Model Organism Development and Evaluation for Late-onset Alzheimer’s Disease (MODEL-AD) consortium funded by the National Institute on Aging (U54 AG054349), as well as by R01NS083801 (NINDS), RF1AG056768 (NIA), and RF1AG065329 (NIA) to KNG.
Availability of data and materials
Protocols, data, and results are available via the AD Knowledge Portal (https://adknowledgeportal.synapse.org). The AD Knowledge Portal is a platform for accessing data, analyses, and tools generated by the Accelerating Medicines Partnership (AMP-AD) Target Discovery Program and other National Institute on Aging (NIA)-supported programs to enable open-science practices and accelerate translational learning. The data, analyses and tools are shared early in the research cycle without a publication embargo on secondary use. Data is available for general research use according to the following requirements for data access and data attribution (https://adknowledgeportal.org/DataAccess/Instructions). Data can be accessed in an interactive matter at UCI Mouse Mind Explorer (admodelexplorer.org).
The Trem2R47H NSS model is available from The Jackson Laboratory (Stock #034,036) without restrictions on its use by both academic and commercial users. The content is solely the responsibility of the authors and does not necessarily represent the official view of the National Institutes of Health.
Declarations
Ethics approval and consent to participate
All experiments involving mice were approved by the UC Irvine Institutional Animal Care and Use Committee and were conducted in compliance with all relevant ethical regulations for animal testing and research. All experiments involving mice comply with the Animal Research: Reporting of in Vivo Experiments (ARRIVE-10) guidelines.
Consent for publication
Not applicable.
Competing interests
KNG is a member of the advisory board of Ashvattha Therapeutics.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Kristine M. Tran, Email: khanhngt@uci.edu
Shimako Kawauchi, Email: skawauch@uci.edu.
Enikö A. Kramár, Email: ekramar@exchange.uci.edu
Narges Rezaie, Email: nargesr@uci.edu.
Heidi Yahan Liang, Email: yhliang@uci.edu.
Jasmine S. Sakr, Email: jsakr@uci.edu
Angela Gomez-Arboledas, Email: agomezar@uci.edu.
Miguel A. Arreola, Email: marreola@aspenneuro.com
Celia da Cunha, Email: cdacunha@uci.edu.
Jimmy Phan, Email: jimmyp7@uci.edu.
Shuling Wang, Email: shulingw@uci.edu.
Sherilyn Collins, Email: sherilyc@uci.edu.
Amber Walker, Email: amberdw@uci.edu.
Kai-Xuan Shi, Email: kshi@uci.edu.
Jonathan Neumann, Email: jneumann@uci.edu.
Ghassan Filimban, Email: gfilimba@uci.edu.
Zechuan Shi, Email: zechuas@uci.edu.
Giedre Milinkeviciute, Email: gmilinke@uci.edu.
Dominic I. Javonillo, Email: djavonil@uci.edu
Katelynn Tran, Email: katelytt@uci.edu.
Magdalena Gantuz, Email: mgantuz@uci.edu.
Stefania Forner, Email: sforner@uci.edu.
Vivek Swarup, Email: vivek.swarup@uci.edu.
Andrea J. Tenner, Email: atenner@uci.edu
Frank M. LaFerla, Email: laferla@uci.edu
Marcelo A. Wood, Email: mwood@uci.edu
Ali Mortazavi, Email: ali.mortazavi@uci.edu.
Grant R. MacGregor, Email: gmacg@uci.edu
Kim N. Green, Email: kngreen@uci.edu
References
- 1.Schmid CD, et al. Heterogeneous expression of the triggering receptor expressed on myeloid cells-2 on adult murine microglia. J Neurochem. 2002;83(6):1309–1320. doi: 10.1046/j.1471-4159.2002.01243.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Bouchon A, Dietrich J, Colonna M. Cutting edge: inflammatory responses can be triggered by TREM-1, a novel receptor expressed on neutrophils and monocytes. J Immunol. 2000;164(10):4991–4995. doi: 10.4049/jimmunol.164.10.4991. [DOI] [PubMed] [Google Scholar]
- 3.Deczkowska A, Weiner A, Amit I. The Physiology, Pathology, and Potential Therapeutic Applications of the TREM2 Signaling Pathway. Cell. 2020;181(6):1207–1217. doi: 10.1016/j.cell.2020.05.003. [DOI] [PubMed] [Google Scholar]
- 4.Colonna M, Wang Y. TREM2 variants: new keys to decipher Alzheimer disease pathogenesis. Nat Rev Neurosci. 2016;17(4):201–207. doi: 10.1038/nrn.2016.7. [DOI] [PubMed] [Google Scholar]
- 5.Kober DL, Brett TJ. TREM2-Ligand Interactions in Health and Disease. J Mol Biol. 2017;429(11):1607–1629. doi: 10.1016/j.jmb.2017.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Liu G, et al. Convergent Genetic and Expression Datasets Highlight TREM2 in Parkinson's Disease Susceptibility. Mol Neurobiol. 2016;53(7):4931–4938. doi: 10.1007/s12035-015-9416-7. [DOI] [PubMed] [Google Scholar]
- 7.Guerreiro R, et al. Novel compound heterozygous mutation in TREM2 found in a Turkish frontotemporal dementia-like family. Neurobiol Aging. 2013;34(12):2890–e1-5. doi: 10.1016/j.neurobiolaging.2013.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Rayaprolu S, et al. TREM2 in neurodegeneration: evidence for association of the p.R47H variant with frontotemporal dementia and Parkinson's disease. Mol Neurodegener. 2013;8:19. doi: 10.1186/1750-1326-8-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Lill CM, et al. The role of TREM2 R47H as a risk factor for Alzheimer's disease, frontotemporal lobar degeneration, amyotrophic lateral sclerosis, and Parkinson's disease. Alzheimers Dement. 2015;11(12):1407–1416. doi: 10.1016/j.jalz.2014.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Zhang B, et al. Differential role of triggering receptors expressed on myeloid cells 2 R47H in 3 neurodegenerative diseases based on a systematic review and meta-analysis. Medicine (Baltimore) 2020;99(5):e18921. doi: 10.1097/MD.0000000000018921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Klunemann HH, et al. The genetic causes of basal ganglia calcification, dementia, and bone cysts: DAP12 and TREM2. Neurology. 2005;64(9):1502–1507. doi: 10.1212/01.WNL.0000160304.00003.CA. [DOI] [PubMed] [Google Scholar]
- 12.Sundal, C. and Z.K. Wszolek, CSF1R-Related Adult-Onset Leukoencephalopathy with Axonal Spheroids and Pigmented Glia, in GeneReviews((R)), M.P. Adam, et al., Editors. 1993: Seattle (WA).
- 13.Guerreiro R, et al. TREM2 variants in Alzheimer's disease. N Engl J Med. 2013;368(2):117–127. doi: 10.1056/NEJMoa1211851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Jonsson T, et al. Variant of TREM2 associated with the risk of Alzheimer's disease. N Engl J Med. 2013;368(2):107–116. doi: 10.1056/NEJMoa1211103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Wang Y, et al. TREM2 lipid sensing sustains the microglial response in an Alzheimer's disease model. Cell. 2015;160(6):1061–1071. doi: 10.1016/j.cell.2015.01.049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Song W, et al. Alzheimer's disease-associated TREM2 variants exhibit either decreased or increased ligand-dependent activation. Alzheimers Dement. 2017;13(4):381–387. doi: 10.1016/j.jalz.2016.07.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Leng F, Edison P. Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here? Nat Rev Neurol. 2021;17(3):157–172. doi: 10.1038/s41582-020-00435-y. [DOI] [PubMed] [Google Scholar]
- 18.Sayed FA, et al. AD-linked R47H-TREM2 mutation induces disease-enhancing microglial states via AKT hyperactivation. Sci Transl Med. 2021;13(622):eabe3947. doi: 10.1126/scitranslmed.abe3947. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Spangenberg E, et al. Sustained microglial depletion with CSF1R inhibitor impairs parenchymal plaque development in an Alzheimer's disease model. Nat Commun. 2019;10(1):3758. doi: 10.1038/s41467-019-11674-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Casali BT, et al. Microglia depletion rapidly and reversibly alters amyloid pathology by modification of plaque compaction and morphologies. Neurobiol Dis. 2020;142:104956. doi: 10.1016/j.nbd.2020.104956. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Condello C, et al. Microglia constitute a barrier that prevents neurotoxic protofibrillar Abeta42 hotspots around plaques. Nat Commun. 2015;6:6176. doi: 10.1038/ncomms7176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Shi Y, et al. Microglia drive APOE-dependent neurodegeneration in a tauopathy mouse model. J Exp Med. 2019;216(11):2546–2561. doi: 10.1084/jem.20190980. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Arreola MA, et al. Microglial dyshomeostasis drives perineuronal net and synaptic loss in a CSF1R(+/-) mouse model of ALSP, which can be rescued via CSF1R inhibitors. Sci Adv. 2021;7(35):eabg1601. doi: 10.1126/sciadv.abg1601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Crapser JD, et al. Microglia facilitate loss of perineuronal nets in the Alzheimer's disease brain. EBioMedicine. 2020;58:102919. doi: 10.1016/j.ebiom.2020.102919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Hong S, et al. Complement and microglia mediate early synapse loss in Alzheimer mouse models. Science. 2016;352(6286):712–716. doi: 10.1126/science.aad8373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Schafer DP, et al. Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner. Neuron. 2012;74(4):691–705. doi: 10.1016/j.neuron.2012.03.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Spangenberg EE, et al. Eliminating microglia in Alzheimer's mice prevents neuronal loss without modulating amyloid-beta pathology. Brain. 2016;139(Pt 4):1265–1281. doi: 10.1093/brain/aww016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Elmore MRP, et al. Replacement of microglia in the aged brain reverses cognitive, synaptic, and neuronal deficits in mice. Aging Cell. 2018;17(6):e12832. doi: 10.1111/acel.12832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Rice RA, et al. Elimination of Microglia Improves Functional Outcomes Following Extensive Neuronal Loss in the Hippocampus. J Neurosci. 2015;35(27):9977–9989. doi: 10.1523/JNEUROSCI.0336-15.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wang C, et al. Microglia mediate forgetting via complement-dependent synaptic elimination. Science. 2020;367(6478):688–694. doi: 10.1126/science.aaz2288. [DOI] [PubMed] [Google Scholar]
- 31.Werneburg S, et al. Targeted Complement Inhibition at Synapses Prevents Microglial Synaptic Engulfment and Synapse Loss in Demyelinating Disease. Immunity. 2020;52(1):167–182 e7. doi: 10.1016/j.immuni.2019.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Hall AM, Roberson ED. Mouse models of Alzheimer's disease. Brain Res Bull. 2012;88(1):3–12. doi: 10.1016/j.brainresbull.2011.11.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Gotz J, Bodea LG, Goedert M. Rodent models for Alzheimer disease. Nat Rev Neurosci. 2018;19(10):583–598. doi: 10.1038/s41583-018-0054-8. [DOI] [PubMed] [Google Scholar]
- 34.Cheng-Hathaway PJ, et al. The Trem2 R47H variant confers loss-of-function-like phenotypes in Alzheimer's disease. Mol Neurodegener. 2018;13(1):29. doi: 10.1186/s13024-018-0262-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Xiang X, et al. The Trem2 R47H Alzheimer's risk variant impairs splicing and reduces Trem2 mRNA and protein in mice but not in humans. Mol Neurodegener. 2018;13(1):49. doi: 10.1186/s13024-018-0280-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Kotredes KP, et al. Uncovering Disease Mechanisms in a Novel Mouse Model Expressing Humanized APOEepsilon4 and Trem2*R47H. Front Aging Neurosci. 2021;13:735524. doi: 10.3389/fnagi.2021.735524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Forner S, et al. Systematic phenotyping and characterization of the 5xFAD mouse model of Alzheimer's disease. Sci Data. 2021;8(1):270. doi: 10.1038/s41597-021-01054-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Javonillo DI, et al. Systematic Phenotyping and Characterization of the 3xTg-AD Mouse Model of Alzheimer's Disease. Front Neurosci. 2021;15:785276. doi: 10.3389/fnins.2021.785276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Mangale V, et al. Microglia influence host defense, disease, and repair following murine coronavirus infection of the central nervous system. Glia. 2020;68(11):2345–2360. doi: 10.1002/glia.23844. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Picelli S, et al. Full-length RNA-seq from single cells using Smart-seq2. Nat Protoc. 2014;9(1):171–181. doi: 10.1038/nprot.2014.006. [DOI] [PubMed] [Google Scholar]
- 41.Rezaie N, Reese F, Mortazavi A. PyWGCNA: A Python package for weighted gene co-expression network analysis. bioRxiv. 2022. p. 2022.08.22.504852. [DOI] [PMC free article] [PubMed]
- 42.Wyman D, Mortazavi A. TranscriptClean: variant-aware correction of indels, mismatches and splice junctions in long-read transcripts. Bioinformatics. 2019;35(2):340–342. doi: 10.1093/bioinformatics/bty483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Wyman D, et al. A technology-agnostic long-read analysis pipeline for transcriptome discovery and quantification. bioRxiv, 2020. p. 672931.
- 44.Cheng Q, et al. TREM2-activating antibodies abrogate the negative pleiotropic effects of the Alzheimer's disease variant Trem 2(R47H) on murine myeloid cell function. J Biol Chem. 2018;293(32):12620–12633. doi: 10.1074/jbc.RA118.001848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Bae S, Park J, Kim JS. Cas-OFFinder: a fast and versatile algorithm that searches for potential off-target sites of Cas9 RNA-guided endonucleases. Bioinformatics. 2014;30(10):1473–1475. doi: 10.1093/bioinformatics/btu048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Blakemore WF. Demyelination of the superior cerebellar peduncle in the mouse induced by cuprizone. J Neurol Sci. 1973;20(1):63–72. doi: 10.1016/0022-510X(73)90118-4. [DOI] [PubMed] [Google Scholar]
- 47.Breton JM, et al. Hormonal Regulation of Oligodendrogenesis II: Implications for Myelin Repair. Biomolecules. 2021;11(2):290. doi: 10.3390/biom11020290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Taylor LC, et al. Cuprizone induces similar demyelination in male and female C57BL/6 mice and results in disruption of the estrous cycle. J Neurosci Res. 2010;88(2):391–402. doi: 10.1002/jnr.22215. [DOI] [PubMed] [Google Scholar]
- 49.Mattsson N, et al. Association of Plasma Neurofilament Light With Neurodegeneration in Patients With Alzheimer Disease. JAMA Neurol. 2017;74(5):557–566. doi: 10.1001/jamaneurol.2016.6117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Wan YW, et al. Meta-Analysis of the Alzheimer's Disease Human Brain Transcriptome and Functional Dissection in Mouse Models. Cell Rep. 2020;32(2):107908. doi: 10.1016/j.celrep.2020.107908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Delizannis AT, et al. Effects of microglial depletion and TREM2 deficiency on Abeta plaque burden and neuritic plaque tau pathology in 5XFAD mice. Acta Neuropathol Commun. 2021;9(1):150. doi: 10.1186/s40478-021-01251-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Sadleir KR, et al. Presynaptic dystrophic neurites surrounding amyloid plaques are sites of microtubule disruption, BACE1 elevation, and increased Abeta generation in Alzheimer's disease. Acta Neuropathol. 2016;132(2):235–256. doi: 10.1007/s00401-016-1558-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Gowrishankar S, et al. Massive accumulation of luminal protease-deficient axonal lysosomes at Alzheimer's disease amyloid plaques. Proc Natl Acad Sci U S A. 2015;112(28):E3699–E3708. doi: 10.1073/pnas.1510329112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Sharoar MG, et al. Accumulation of saposin in dystrophic neurites is linked to impaired lysosomal functions in Alzheimer's disease brains. Mol Neurodegener. 2021;16(1):45. doi: 10.1186/s13024-021-00464-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.de Wolf F, et al. Plasma tau, neurofilament light chain and amyloid-beta levels and risk of dementia; a population-based cohort study. Brain. 2020;143(4):1220–1232. doi: 10.1093/brain/awaa054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Lee EH, et al. Serum neurofilament light chain level as a predictor of cognitive stage transition. Alzheimers Res Ther. 2022;14(1):6. doi: 10.1186/s13195-021-00953-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Quiroz YT, et al. Plasma neurofilament light chain in the presenilin 1 E280A autosomal dominant Alzheimer's disease kindred: a cross-sectional and longitudinal cohort study. Lancet Neurol. 2020;19(6):513–521. doi: 10.1016/S1474-4422(20)30137-X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Mages B, et al. Impaired Neurofilament Integrity and Neuronal Morphology in Different Models of Focal Cerebral Ischemia and Human Stroke Tissue. Front Cell Neurosci. 2018;12:161. doi: 10.3389/fncel.2018.00161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Keren-Shaul H, et al. A Unique Microglia Type Associated with Restricting Development of Alzheimer's Disease. Cell. 2017;169(7):1276–1290. doi: 10.1016/j.cell.2017.05.018. [DOI] [PubMed] [Google Scholar]
- 60.Yuan P, et al. TREM2 Haplodeficiency in Mice and Humans Impairs the Microglia Barrier Function Leading to Decreased Amyloid Compaction and Severe Axonal Dystrophy. Neuron. 2016;92(1):252–264. doi: 10.1016/j.neuron.2016.09.016. [DOI] [PubMed] [Google Scholar]
- 61.Wang Y, et al. TREM2-mediated early microglial response limits diffusion and toxicity of amyloid plaques. J Exp Med. 2016;213(5):667–675. doi: 10.1084/jem.20151948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Meilandt WJ, et al. Trem2 Deletion Reduces Late-Stage Amyloid Plaque Accumulation, Elevates the Abeta42:Abeta40 Ratio, and Exacerbates Axonal Dystrophy and Dendritic Spine Loss in the PS2APP Alzheimer's Mouse Model. J Neurosci. 2020;40(9):1956–1974. doi: 10.1523/JNEUROSCI.1871-19.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Koseoglu E, et al. Nasu Hakola Disease: A Rare Cause of Dementia and Cystic Bone Lesions, Report of a New Turkish Family. Noro Psikiyatr Ars. 2018;55(1):98–102. doi: 10.5152/npa.2017.19484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Song WM, et al. Humanized TREM2 mice reveal microglia-intrinsic and -extrinsic effects of R47H polymorphism. J Exp Med. 2018;215(3):745–760. doi: 10.1084/jem.20171529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Gratuze M, et al. Impact of TREM2R47H variant on tau pathology-induced gliosis and neurodegeneration. J Clin Invest. 2020;130(9):4954–4968. doi: 10.1172/JCI138179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Sayed FA, et al. Differential effects of partial and complete loss of TREM2 on microglial injury response and tauopathy. Proc Natl Acad Sci U S A. 2018;115(40):10172–10177. doi: 10.1073/pnas.1811411115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Leyns CEG, et al. TREM2 deficiency attenuates neuroinflammation and protects against neurodegeneration in a mouse model of tauopathy. Proc Natl Acad Sci U S A. 2017;114(43):11524–11529. doi: 10.1073/pnas.1710311114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Yuan P, et al. TREM2 Haplodeficiency in Mice and Humans Impairs the Microglia Barrier Function Leading to Decreased Amyloid Compaction and Severe Axonal Dystrophy. Neuron. 2016;90(4):724–739. doi: 10.1016/j.neuron.2016.05.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Li W, et al. Type I interferon-regulated gene expression and signaling in murine mixed glial cells lacking signal transducers and activators of transcription 1 or 2 or interferon regulatory factor 9. J Biol Chem. 2017;292(14):5845–5859. doi: 10.1074/jbc.M116.756510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Prokop S, et al. Impact of TREM2 risk variants on brain region-specific immune activation and plaque microenvironment in Alzheimer's disease patient brain samples. Acta Neuropathol. 2019;138(4):613–630. doi: 10.1007/s00401-019-02048-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Bacioglu M, et al. Neurofilament Light Chain in Blood and CSF as Marker of Disease Progression in Mouse Models and in Neurodegenerative Diseases. Neuron. 2016;91(1):56–66. doi: 10.1016/j.neuron.2016.05.018. [DOI] [PubMed] [Google Scholar]
- 72.Ren S, et al., Microglia TREM2(R47H) Alzheimer-linked variant enhances excitatory transmission and reduces LTP via increased TNF-alpha levels. Elife, 2020;9. [DOI] [PMC free article] [PubMed]
- 73.Zhang MQ. Statistical features of human exons and their flanking regions. Hum Mol Genet. 1998;7(5):919–932. doi: 10.1093/hmg/7.5.919. [DOI] [PubMed] [Google Scholar]
- 74.Gao K, et al. Human branch point consensus sequence is yUnAy. Nucleic Acids Res. 2008;36(7):2257–2267. doi: 10.1093/nar/gkn073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Mercer TR, et al. Genome-wide discovery of human splicing branchpoints. Genome Res. 2015;25(2):290–303. doi: 10.1101/gr.182899.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Protocols, data, and results are available via the AD Knowledge Portal (https://adknowledgeportal.synapse.org). The AD Knowledge Portal is a platform for accessing data, analyses, and tools generated by the Accelerating Medicines Partnership (AMP-AD) Target Discovery Program and other National Institute on Aging (NIA)-supported programs to enable open-science practices and accelerate translational learning. The data, analyses and tools are shared early in the research cycle without a publication embargo on secondary use. Data is available for general research use according to the following requirements for data access and data attribution (https://adknowledgeportal.org/DataAccess/Instructions). Data can be accessed in an interactive matter at UCI Mouse Mind Explorer (admodelexplorer.org).
The Trem2R47H NSS model is available from The Jackson Laboratory (Stock #034,036) without restrictions on its use by both academic and commercial users. The content is solely the responsibility of the authors and does not necessarily represent the official view of the National Institutes of Health.