Literature DB >> 33560670

The role of innate immune genes in Alzheimer's disease.

Ana Griciuc1, Rudolph E Tanzi.   

Abstract

PURPOSE OF REVIEW: The aim of this study was to provide an update on the role of the innate immune system and neuroinflammation in the pathogenesis of Alzheimer's disease, with an emphasis on microglial receptors CD33 and TREM2. RECENT
FINDINGS: Genome-wide association studies (GWAS) have identified many Alzheimer's disease risk genes related to immune response and microglia including the phagocytic receptors CD33 and TREM2. Recent GWAS and pathway analyses emphasize the crucial role of the innate immune system and neuroinflammation in the pathogenesis of Alzheimer's disease. Disease-associated microglia have been characterized by TREM2-dependent upregulation of phagocytic and lipid metabolism genes. Impaired microglial phagocytosis results in amyloid beta (Aβ) accumulation leading to neuroinflammation that is the primary cause of neurodegeneration. CD33 and TREM2 modulate neuroinflammation in Alzheimer's disease and have emerged as therapeutic targets in Alzheimer's disease. Progress has been made to inhibit CD33 by gene therapy, small molecules or immunotherapy, and to increase TREM2 activity by immunotherapy. Finally, mAbs against CD33 and TREM2 have entered clinical trials and may reduce neuroinflammation in Alzheimer's disease brain.
SUMMARY: Targeting neuroinflammation via CD33 inhibition and/or TREM2 activation may have important implications for neurodegeneration in Alzheimer's disease and may be an addition to monoclonal anti-Aβ antibody treatments that remove plaques without reducing neuroinflammation.
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.

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Year:  2021        PMID: 33560670      PMCID: PMC7954128          DOI: 10.1097/WCO.0000000000000911

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   6.283


INTRODUCTION

Alzheimer's disease is the leading cause of dementia among the elderly. After ageing, genetics is the strongest risk factor for Alzheimer's disease [1]. Autosomal dominant mutations in APP and PSEN1/2 accelerate the rate of cognitive decline leading to early-onset dementia [2,3]. However, most Alzheimer's disease patients suffer from late-onset forms (LOAD) that represent ‘sporadic AD’. Susceptibility for LOAD is likely caused by a combination of numerous genomic variants and environmental factors [4]. To date, apolipoprotein E (APOE) is the strongest genetic risk factor for LOAD. However, APOE accounts for only 10–20% of the LOAD risk [5], suggesting the existence of additional genetic risk factors. Recently, in addition to APOE, genome-wide association studies (GWAS) have identified more than 30 genetic loci for Alzheimer's disease, many related to immune response and microglia, the resident immune cells of the brain [6,7]. Among these are the microglial receptors CD33[8-10] and TREM2[11,12]. The review provides an update on the results of current GWAS in Alzheimer's disease and summarizes recent findings related to phagocytic receptors CD33 and TREM2 and their association with Alzheimer's disease. Finally, it provides insights into the therapeutic strategies to target CD33 and TREM2 for treating this devastating disorder. no caption available

Genome-wide association studies implicate the immune system in Alzheimer's disease

GWAS led to the identification of many Alzheimer's disease risk genes related to the immune response and microglia, including CD33[8-10], INPP5D, CLU, CR1, SPI1, ABCA7, EPHA1 and the MS4As[9,10,13,14]. Subsequently, most GWAS-defined genes were replicated, and new Alzheimer's disease candidate genes involved in immune response and inflammation were identified, such as HLA-DRB5–DRB1, INPP5D and MEF2C[15]. Furthermore, efforts employing whole exome/genome sequencing have elucidated Alzheimer's disease associated variants in TREM2[11,12]. Additional risk genes have been identified as containing rare variants, including PLCG2 and ABI3 that are expressed in microglia [16]. Genetic studies of sporadic Alzheimer's disease also uncovered genes that regulate early endosome function, trafficking and maturation, including BIN1, CD2AP, PICALM and SORL1[9,10,17-19]. Most recently, a very large GWAS of Alzheimer's disease and Alzheimer's disease -by-proxy (based on parental diagnoses) identified 29 risk loci [20]. This meta-analysis also confirmed that CD33 (originally identified by our group as the first veritable innate immune gene associated with Alzheimer's disease [8]) and TREM2 are significantly associated with Alzheimer's disease, implying a genuine genetic association with Alzheimer's disease risk. In-silico functional analysis showed that associated genes are strongly expressed in immune-related tissues and cell types (spleen, liver and microglia), emphasizing the crucial role of the innate immune system and neuroinflammation in the pathogenesis of Alzheimer's disease [20]. Moreover, genetic meta-analysis of clinically diagnosed LOAD confirmed 20 previous risk loci including the immune-mediated disease haplotype HLA-DR15 and identified five new loci. Pathway analysis implicated immunity, lipid metabolism, tau-binding proteins and APP metabolism [21]. In summary, recent GWAS and post-GWAS bioinformatic analyses implicate microglia, phagocytic clearance of cellular debris and the immune response as key players in Alzheimer's disease pathogenesis [22]. Although microglia can uptake and clear amyloid beta (Aβ), they can also secrete pro-inflammatory cytokines leading to neuroinflammation [23]. A deeper understanding of molecular mechanisms that control microglial activation and impact neuroinflammation could advance therapies for Alzheimer's disease.

The role of microglia and neuroinflammation in Alzheimer's disease pathogenesis

Neuroinflammation is as an innate immunological response of the central nervous system that is characterized by the activation of microglia and astrocytes, which play a central role in Alzheimer's disease pathogenesis [24]. Studies of human brains resilient to Alzheimer's disease pathology showed that these brains exhibit high Aβ plaque burden and tangles but reduced neuroinflammation, increased neuronal survival and preserved cognition, suggesting that a suppressed neuroinflammatory response may lead to resilience to Alzheimer's disease [25,26]. As increasing evidence shows that neuroinflammation that occurs in response to plaques and tangles is the primary cause of neurodegeneration, it is most critical to stop neuroinflammation [26]. In the healthy brain, microglia have a unique homeostatic molecular signature (M0) [27,28]. Recent studies showed characteristic expression changes in microglia around plaques, labelling them as disease-associated microglia (DAM) [29], microglial neurodegenerative phenotype (MGnD) [30] or amyloid-response microglia (ARM) [31]. DAM microglia have been characterized by decreased expression of homeostatic genes and TREM2-dependent upregulation of phagocytic and lipid metabolism genes [29]. Most recently, RNA-seq performed on the hippocampus revealed a unique gene expression module that is responsive to Aβ but not TAU pathology and is highly enriched for Alzheimer's disease risk genes, including APOE, INPP5D, CD33 and PLCG2 in mouse models of Alzheimer's disease [32]. Furthermore, a single-nucleus RNA-sequencing (snRNA-seq) study of human microglia from Alzheimer's disease brains revealed a subset of DAM genes upregulated around Aβ plaques, but did not detect the full set of DAM genes [33]. However, a new study suggested that snRNA-seq is not suitable for detection of microglial activation genes in human control brain due to the depletion of approximately 20% of DAM genes in nuclei compared with whole cells [34]. Futures studies will show whether isolating larger numbers of nuclei will allow detection of the full panel of DAM transcripts in human Alzheimer's disease brain by using snRNA-Seq.

ALZHEIMER'S DISEASE RISK GENES CD33 AND TREM2 MODULATE NEUROINFLAMMATION

Impaired phagocytic activity of microglia results in Aβ accumulation, which leads to neuroinflammation, thereby creating a self-perpetuating cycle, which further enhances the inflammatory response in the brain. Microglial phagocytosis is a complex process that consists of recognition, engulfment, digestion and response [35]. Recent studies show that established Alzheimer's disease risk genes control the functions of microglial phagocytosis [36]. For the recognition step, phagocytic receptors such as CD33, TREM2 and CR1 play an important role in recognizing ‘find-me’ signals. The response step encompasses a transcriptional programme of clearance, that is DAM genes involved in lysosomal, phagocytic and lipid metabolism pathways, such as APOE, CTSD, LPL, TYROBP and TREM2[36]. We next discuss in detail the roles of CD33 and TREM2 and how they control microglial phagocytosis and neuroinflammation.

Molecular genetics of CD33 and its impact on neuroinflammation

CD33 (Siglec-3) is a member of the sialic acid-binding immunoglobulin-like lectins (Siglecs) and is expressed on the surface of myeloid progenitor cells, granulocytes, monocytes, macrophages and microglia [37]. CD33 binds to α2–3 and α2-6 linked sialic acids, attached to glycan chains on cell surface, and can mediate cis or trans-cellular interactions [38]. CD33 contains the V-type immunoglobulin-like (V-Ig) domain, which is the binding site of sialic acids, an extracellular C2-Ig domain and cytosolic immunoreceptor tyrosine-based inhibitory motif (ITIM) and ITIM-like sequence. The ITIM domain is responsible for inhibitory signal transduction in cells [39]. CD33 has been implicated in cell adhesion, endocytosis, immune cell growth [40] and inhibition of cytokine release by monocytes [41]. CD33 was also reported to negatively regulate Tlr4 signalling [42]. Finally, C1q binding to CD33 led to activation of CD33/LAIR-1 inhibitory motifs [43]. Our group first reported CD33 as a novel LOAD candidate gene as a result of a large family-based genome-wide association study; the single nucleotide polymorphism (SNP) rs3826656 has been associated with LOAD in the NIMH family sample [8]. Case--control GWAS identified a SNP located upstream of CD33, rs3865444, as associated with LOAD risk [9,10]. Higher CD33 expression levels in the brain were associated with greater cognitive decline [44] and increased Alzheimer's disease pathology [45]. We previously showed that CD33 exhibits increased expression in microglial cells in Alzheimer's disease brain. The minor allele of the CD33 SNP rs3865444, which confers protection against Alzheimer's disease, was associated with reductions in levels of full-length CD33 and insoluble Aβ42 in Alzheimer's disease brain [46] (see Fig. 1). We also showed CD33 inhibited microglial uptake and clearance of Aβ42, and that plaque burden was reduced in APP/PS1;CD33 mice [46].
FIGURE 1

The protective allele of the CD33 SNP rs3865444 is associated with reductions in both CD33 expression and insoluble Aβ42 levels in Alzheimer's disease brain. The minor allele of the CD33 SNP rs3865444, which confers protection against Alzheimer's disease, leads to reductions in both CD33 expression and amyloid burden in human Alzheimer's disease brain (right). Microglial cells expressing high levels of CD33 are limited in their capacity to uptake and clear Aβ; the result is high levels of Aβ that accumulate in the brain (left).

The protective allele of the CD33 SNP rs3865444 is associated with reductions in both CD33 expression and insoluble Aβ42 levels in Alzheimer's disease brain. The minor allele of the CD33 SNP rs3865444, which confers protection against Alzheimer's disease, leads to reductions in both CD33 expression and amyloid burden in human Alzheimer's disease brain (right). Microglial cells expressing high levels of CD33 are limited in their capacity to uptake and clear Aβ; the result is high levels of Aβ that accumulate in the brain (left). In contrast, the risk allele of rs3865444 was associated with decreased Aβ42 uptake and increased expression of full-length CD33 and TREM2 in monocytes [47,48] and monocyte-derived microglia-like cells [49]. The protective allele of CD33 SNP rs12459419 (coinherited with rs3865444) was associated with skipping of CD33 exon 2 [50,51], leading to the CD33-ΔV-Ig isoform [52]. Exon 2 encodes the sialic acid-binding domain (V-Ig) that is required for CD33-mediated inhibition of Aβ uptake in microglia [46]. The protective allele of rs3865444 was also associated with increased levels of a CD33 splice variant that retains intron 1, resulting in the R1-CD33 isoform [53]. A recent study showed that rs201074739 in CD33 exon 3 results in premature termination codon and loss of cell surface CD33 [54]. A new CD33 isoform was found in carriers of the 4-bp insertion/deletion (indel) rs201074739; it encodes a secreted CD33 protein. Genetic analysis showed that the 4-bp indel was not associated with Alzheimer's disease risk [55]. Considering that the protective allele of rs12459419 increases levels of CD33-ΔV-Ig, the authors hypothesize that CD33-ΔV-Ig induces microglial activation through mechanisms similar to TREM2 (gain-of-function isoform) [55]. However, another study showed that CD33-ΔV-Ig is diverted to intracellular peroxisomes (loss-of-function isoform) [56,57]. As the protective allele of rs3865444 is associated with reductions in full-length CD33 and Alzheimer's disease risk, targeting functional CD33 may attenuate Alzheimer's disease pathology. Thus, inhibiting CD33 activity represents a potential therapy for Alzheimer's disease, for example, by gene therapy, small molecules or immunotherapy.

Crosstalk between the microglial receptors CD33 and TREM2

TREM2 expression was increased by CD33 Alzheimer's disease risk allele rs3865444C and decreased by CD33 immunosuppression in monocytes [47]. We showed that TREM2 acts downstream of CD33 in modulating cognition, Aβ pathology, neurodegeneration and microglial cell response to Aβ plaques in the 5xFAD mouse model of Alzheimer's disease [58]. RNA-seq profiling of microglia revealed that genes related to phagocytosis and microglial activation are upregulated in 5xFAD;CD33 and downregulated in 5xFAD;TREM2 mice. Differential gene expression in 5xFAD;CD33 microglia depended on the presence of TREM2, suggesting TREM2 acts downstream of CD33. Crosstalk between CD33 and TREM2 includes regulation of the IL-1β/IL-1RN axis [58]. Collectively, these findings suggest that inhibiting CD33 and/or increasing TREM2 activity could represent novel therapies for Alzheimer's disease. Although CD33 and TREM2 are cell membrane receptors that bind different ligands (e.g. sialic acids for CD33 and anionic lipids for TREM2), both functionally interact with DAP12, either directly (TREM2) or via common intracellular signalling molecules (CD33). Thus, DAP12 and interacting signalling factors, for example INPP5D (SHIP1), SHP1/2, SYK and PI3K, are probable effectors of crosstalk between CD33 and TREM2 in microglial cells (see Fig. 2).
FIGURE 2

Working model of crosstalk between the microglial receptors CD33 and TREM2. Phosphorylation of full-length CD33 on ITIM domains leads to recruitment of SHP1 and SHP2 phosphatases and inhibitory signaling. Recruitment of SYK to DAP12, the adaptor of TREM2, leads to intracellular signaling that promotes phagocytosis and chemotaxis. CD33-ΔV-Ig may represent a loss-of-function or gain-of-function isoform.

Working model of crosstalk between the microglial receptors CD33 and TREM2. Phosphorylation of full-length CD33 on ITIM domains leads to recruitment of SHP1 and SHP2 phosphatases and inhibitory signaling. Recruitment of SYK to DAP12, the adaptor of TREM2, leads to intracellular signaling that promotes phagocytosis and chemotaxis. CD33-ΔV-Ig may represent a loss-of-function or gain-of-function isoform.

Microglial receptor CD33 as a drug target for Alzheimer's disease

CD33 is currently one of the most targeted Alzheimer's disease genes in the pharmaceutical industry. Alector has developed the mAb AL003 that blocks CD33 function and increases microglial activation, and is in early-phase clinical trials for Alzheimer's disease. Furthermore, CD33 is a therapeutic target for acute myeloid leukaemia (AML). Several humanized CD33-specific antibodies have been tested in AML clinical trials [59]. The risk allele rs3865444C correlates with an increased efficacy of the antibody-drug conjugate gemtuzumab ozogamicin [60,61]. A recent study reported the lack of CD33-ΔV-Ig isoform on the surface of blast cells from AML patients [62], suggesting a loss-of-function role. Finally, the humanized CD33 antibody lintuzumab significantly downregulated cell-surface CD33 in monocytic cells [53]. Thus, inhibiting CD33 with humanized antibodies could represent a potential therapeutic approach for Alzheimer's disease. Most recently, we established a gene therapy strategy to reduce CD33 expression in microglia. Treatment of Alzheimer's disease mice with an adeno-associated virus (AAV) vector-based system encoding an artificial microRNA targeting CD33 (miRCD33) at an early age reduced CD33 mRNA, brain levels of TBS-soluble Aβ40 and Aβ42, and Aβ plaque burden in APP/PS1 mice. Early intervention with miRCD33 downregulated pro-inflammatory activation genes, cytokines and chemokines [63]. Collectively, we provided the first proof-of-concept that therapies targeting CD33 can reduce both Aβ accumulation and neuroinflammation. Surprisingly, a recent study showed that knock-out of CD33 did not impact uptake of aggregated Aβ42 in primary microglial cell cultures [64]. This discrepancy related to the role of mouse CD33 in phagocytosis could be due to different genetic backgrounds of CD33 knock-out mice. In contrast, transgenic expression of human CD33 in microglia inhibited phagocytosis [64], confirming previous findings [46,48]. The transgenic mouse model expressing human CD33 under control of Cre recombinase [65] and establishing novel humanized CD33 mouse models should provide valuable models to better understand CD33 biology and test therapeutics based on targeting CD33. An alternative approach to modulate CD33 function might be the use of selective small molecules occupying the sialic acid-binding site of CD33, such as sialic acid based ligands [66]. Liposomal nanoparticles bearing an allergen and a high-affinity glycan ligand of CD33 suppressed IgE-mediated anaphylaxis and desensitized mast cells to allergen in transgenic mice expressing human CD33[65]. Furthermore, the sialic acid mimetic P22 (binding to the sialic acid binding domain of CD33) presented on microparticles increased uptake of Aβ42 into microglial cells [67]. In summary, CD33 is a promising target for developing therapeutics for the treatment of Alzheimer's disease.

Alzheimer’ disease risk gene TREM2 modulates microglial pathology

TREM2 is an immunoreceptor expressed on myeloid cells including microglia, wherein it regulates inflammation [68,69]. Heterozygous rare variants in TREM2 (e.g. R47H) are associated with increased risk of Alzheimer's disease [11,12]. TREM2 signals through the adaptor protein DAP12 (TYROBP) to suppress pro-inflammatory cytokines [70], and promote phagocytosis [71] and biosynthetic metabolism [72]. TREM2 ligands include anionic lipids [73], lipidated ApoE [74-76] and Aβ oligomers [77,78]. In collaboration with Dr Colonna, we provided evidence for increased Alzheimer's disease risk associated with several TREM2 variants and showed that TREM2 loss-of-function mutations (e.g. R47H and R62C) decreased binding to TREM2 ligands. To the contrary, D87N and T96K exhibited increased ligand-dependent activation [79]. Thus, further studies are required to address the effects of increasing TREM2 activation in Alzheimer's disease. Furthermore, other studies showed that TREM2 R47H negatively impacts binding to cell-surface TREM2 ligands [80] and Aβ oligomers [81]. By contrast, T96K appears to be a gain-of-function mutation and results in increased cellular binding [80]. Moreover, TREM2 mutations implicated in neurodegeneration impair cell surface transport of TREM2 [80,82]. Soluble (s)TREM2 is elevated in Alzheimer's disease cerebrospinal fluid (CSF) compared with controls [83]. Increased sTREM2 in CSF is associated with reduced cognitive decline in Alzheimer's disease [84] and with slower rates of Aβ accumulation [85]. sTREM2 also protects against amyloid disease by enhancing microglial activity in 5xFAD mice [86]. Levels of CSF sTREM2 are increased in R47H carriers, while they are significantly decreased in T96K/L211P/W191X carriers versus controls [87]. These data suggest that TREM2 variants may impact protein expression and proper TREM2 function is important to counteract disease progression. TREM2 detects damage-associated lipid patterns and sustains the microglial response in Alzheimer's disease [73]. Previous studies reported TREM2 knock-out decreased [30,88] or did not impact [89] Aβ plaque burden during early disease. However, TREM2 knock-out significantly increased Aβ plaque burden at late disease stages [58,73,90]. Moreover, TREM2 knock-out impaired microglial activation and clustering around plaques [73,88,91], and disrupted the microglial barrier [89,92]. Conversely, overexpression of human TREM2 reduced plaque load, upregulated phagocytosis genes and improved cognition in Alzheimer's disease mice [93]. Overexpression of human TREM2-R47H in 5xFAD mice impaired microgliosis and reduced microglial activation [94]. A recent study suggested the TREM2-APOE pathway induced the transition from homeostatic to MGnD phenotype in APP-PS1 mice [30]. However, DAM response has been characterized by TREM2-dependent upregulation of phagocytic and lipid metabolism genes, which is protective [29]. These differences might be explained by distinct roles of TREM2 at late versus early stage of Alzheimer's disease pathology [90]. We previously showed that TREM2 knock-out downregulated phagocytic and lipid metabolism genes in 5xFAD microglia [58]. Furthermore, TREM2 is required for microglial cholesterol transport and metabolism upon chronic phagocytic challenge [95]. Finally, snRNA-seq revealed that TREM2-R47H and TREM2-R62H carriers exhibited reduced microglia reactive signature, suggesting TREM2 is required for microglial activation [96]. Remarkably, TREM2 knock-out or TREM2-R47H variant promotes the seeding and spreading of neuritic plaque tau aggregates [97]. In a tauopathy mouse model, TREM2 knock-out decreased pro-inflammatory microglial activation and improved neurodegeneration [98]. Overexpression of human TREM2-R47H in the PS19 mouse model of tauopathy mitigated brain atrophy and synapse loss, and reduced microglial reactivity, versus TREM2 common variant [99]. These findings suggest that TREM2 loss-of-function decreases microglia-mediated neurodegeneration in tauopathy.

Agonist TREM2 antibodies for Alzheimer's disease treatment

TREM2 is currently targeted with agonist TREM2-specific antibodies to activate receptor signalling [100]. Alector developed mAbs, AL002 and AL002c; AL002c binds to the extracellular domain of human TREM2. AL002 is a derivative of AL002c that is in clinical trials [101]. Acute treatment with AL002c induced microglial proliferation in both common variant and R47H TREM2 transgenic mice. Prolonged treatment with AL002c reduced filamentous plaques, neurite dystrophy and microglia-mediated inflammation in Alzheimer's disease mice [101]. mAb 4D9, which has a stalk region epitope close to the cleavage site, stabilized TREM2 on the cell membrane by decreasing its shedding, and induced phospho-SYK signalling. 4D9 increased microglial uptake of Aβ peptide in vitro. In Alzheimer's disease mice, 4D9 reduced amyloid plaque burden, enhanced microglial TREM2 expression and promoted transition of microglia toward the DAM state, suggesting a protective function [102]. Both antibodies AL002 and 4D9 engaged TREM2 and represent promising candidates for Alzheimer's disease therapy.

CONCLUSION

The microglial receptors CD33 and TREM2 modulate microglial pathology and neuroinflammation, and have emerged as targets for drug development in Alzheimer's disease. CD33 opposes the effects of TREM2 signalling and makes an attractive target because it could be potentially inhibited, for example by gene therapy, small molecules or immunotherapy. TREM2 appears to be a promising therapeutic target, with several agonist antibodies activating receptor signalling. Ongoing clinical trials with mAbs targeting CD33 and TREM2 are major steps towards targeted immunotherapy for Alzheimer's disease. In summary, inhibiting CD33 and/or activating TREM2 represent valuable therapeutic strategies to enhance neuroprotective microglia and reduce neuroinflammation, which is crucial for preventing and treating Alzheimer's disease.

Acknowledgements

None.

Financial support and sponsorship

The research was supported by grants from the NIA/NIH (5R00AG049056 to A.G.), Cure Alzheimer's Fund (A.G., R.E.T.), and JPB Foundation (R.E.T.).

Conflicts of interest

A.G. and R.E.T. have an issued patent on all forms of gene therapy and immunotherapy for neuroinflammation using CD33 as a target.
  102 in total

1.  Alzheimer's disease risk gene CD33 inhibits microglial uptake of amyloid beta.

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Journal:  Neuron       Date:  2013-04-25       Impact factor: 17.173

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Journal:  Nat Rev Immunol       Date:  2014-09-19       Impact factor: 53.106

3.  TREM2 and Risk of Alzheimer's Disease--Friend or Foe?

Authors:  Rudolph E Tanzi
Journal:  N Engl J Med       Date:  2015-06-25       Impact factor: 91.245

Review 4.  CD33 in Alzheimer's Disease - Biology, Pathogenesis, and Therapeutics: A Mini-Review.

Authors:  Lingzhi Zhao
Journal:  Gerontology       Date:  2018-12-12       Impact factor: 5.140

5.  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

6.  Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease.

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7.  Repression of phagocytosis by human CD33 is not conserved with mouse CD33.

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Journal:  Nat Genet       Date:  2013-10-27       Impact factor: 38.330

9.  Novel Alzheimer risk genes determine the microglia response to amyloid-β but not to TAU pathology.

Authors:  Annerieke Sierksma; Ashley Lu; Bart De Strooper; Mark Fiers; Renzo Mancuso; Nicola Fattorelli; Nicola Thrupp; Evgenia Salta; Jesus Zoco; David Blum; Luc Buée
Journal:  EMBO Mol Med       Date:  2020-01-17       Impact factor: 12.137

10.  Higher CSF sTREM2 and microglia activation are associated with slower rates of beta-amyloid accumulation.

Authors:  Michael Ewers; Gloria Biechele; Marc Suárez-Calvet; Christian Sacher; Tanja Blume; Estrella Morenas-Rodriguez; Yuetiva Deming; Laura Piccio; Carlos Cruchaga; Gernot Kleinberger; Leslie Shaw; John Q Trojanowski; Jochen Herms; Martin Dichgans; Matthias Brendel; Christian Haass; Nicolai Franzmeier
Journal:  EMBO Mol Med       Date:  2020-08-10       Impact factor: 12.137

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  16 in total

1.  A Combined Proteomics and Metabolomics Profiling to Investigate the Genetic Heterogeneity of Autistic Children.

Authors:  Yuxi Zhao; Xueshan Cao; Liming Shen; Huajie Zhang; Jing Lin; Yan Gao; Margy Chen; Naseer Ullah Khan; Xiaoxiao Tang; Qi Hong; Chengyun Feng
Journal:  Mol Neurobiol       Date:  2022-03-28       Impact factor: 5.590

Review 2.  Structural biology of cell surface receptors implicated in Alzheimer's disease.

Authors:  Stefan J Hermans; Tracy L Nero; Craig J Morton; Jonathan H Gooi; Gabriela A N Crespi; Nancy C Hancock; Chen Gao; Kenta Ishii; Jasmina Markulić; Michael W Parker
Journal:  Biophys Rev       Date:  2021-11-18

3.  Microglial mTOR Activation Upregulates Trem2 and Enhances β-Amyloid Plaque Clearance in the 5XFAD Alzheimer's Disease Model.

Authors:  Qian Shi; Cheng Chang; Afaf Saliba; Manzoor A Bhat
Journal:  J Neurosci       Date:  2022-06-07       Impact factor: 6.709

Review 4.  Will Sirtuin 2 Be a Promising Target for Neuroinflammatory Disorders?

Authors:  Zhang Fan; Li Bin
Journal:  Front Cell Neurosci       Date:  2022-06-22       Impact factor: 6.147

Review 5.  γ-Secretase in Alzheimer's disease.

Authors:  Ji-Yeun Hur
Journal:  Exp Mol Med       Date:  2022-04-08       Impact factor: 12.153

Review 6.  Peripheral Pathways to Neurovascular Unit Dysfunction, Cognitive Impairment, and Alzheimer's Disease.

Authors:  Amy R Nelson
Journal:  Front Aging Neurosci       Date:  2022-04-18       Impact factor: 5.702

7.  C3 ruffles FcγR's claim over phagocytic cups.

Authors:  S A Frautschy
Journal:  J Biol Chem       Date:  2021-05-18       Impact factor: 5.157

8.  IKK2/NF-κB Activation in Astrocytes Reduces amyloid β Deposition: A Process Associated with Specific Microglia Polarization.

Authors:  Shu Yang; Alexander Magnutzki; Najwa Ouali Alami; Michael Lattke; Tabea Melissa Hein; Judith Stefanie Scheller; Carsten Kröger; Franz Oswald; Deniz Yilmazer-Hanke; Thomas Wirth; Bernd Baumann
Journal:  Cells       Date:  2021-10-06       Impact factor: 6.600

9.  Analysis of Genetic Variants Associated with Levels of Immune Modulating Proteins for Impact on Alzheimer's Disease Risk Reveal a Potential Role for SIGLEC14.

Authors:  Benjamin C Shaw; Yuriko Katsumata; James F Simpson; David W Fardo; Steven Estus
Journal:  Genes (Basel)       Date:  2021-06-30       Impact factor: 4.096

Review 10.  Kurt Jellinger 90: his contribution to neuroimmunology.

Authors:  Assunta Dal-Bianco; Romana Höftberger; Hans Lassmann; Thomas Berger
Journal:  J Neural Transm (Vienna)       Date:  2021-06-10       Impact factor: 3.575

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