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      Alzheimer’s Patient Microglia Exhibit Enhanced Aging and Unique Transcriptional Activation

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          SUMMARY

          Damage-associated microglia (DAM) profiles observed in Alzheimer’s disease (AD)-related mouse models reflect an activation state that could modulate AD risk or progression. To learn whether human AD microglia (HAM) display a similar profile, we develop a method for purifying cell types from frozen cerebrocortical tissues for RNA-seq analysis, allowing better transcriptome coverage than typical single-nucleus RNA-seq approaches. The HAM profile we observe bears little resemblance to the DAM profile. Instead, HAM display an enhanced human aging profile, in addition to other disease-related changes such as APOE upregulation. Analyses of whole-tissue RNA-seq and single-cell/nucleus RNA-seq datasets corroborate our findings and suggest that the lack of DAM response in human microglia occurs specifically in AD tissues, not other neurodegenerative settings. These results, which can be browsed at http://research-pub.gene.com/BrainMyeloidLandscape, provide a genome-wide picture of microglial activation in human AD and highlight considerable differences between mouse models and human disease.

          In Brief

          Gene expression analysis of human AD microglia has been limited by technical challenges. Srinivasan et al. use RNA-seq to profile FACS-purified microglia from frozen AD and control brains, revealing that human AD microglia exhibit accelerated aging, as well as age-independent changes, like upregulation of APOE.

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          Most cited references15

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          Single-Cell RNA-Seq Reveals the Transcriptional Landscape and Heterogeneity of Aortic Macrophages in Murine Atherosclerosis

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            Functions of the left superior frontal gyrus in humans: a lesion study.

            The superior frontal gyrus (SFG) is thought to contribute to higher cognitive functions and particularly to working memory (WM), although the nature of its involvement remains a matter of debate. To resolve this issue, methodological tools such as lesion studies are needed to complement the functional imaging approach. We have conducted the first lesion study to investigate the role of the SFG in WM and address the following questions: do lesions of the SFG impair WM and, if so, what is the nature of the WM impairment? To answer these questions, we compared the performance of eight patients with a left prefrontal lesion restricted to the SFG with that of a group of 11 healthy control subjects and two groups of patients with focal brain lesions [prefrontal lesions sparing the SFG (n = 5) and right parietal lesions (n = 4)] in a series of WM tasks. The WM tasks (derived from the classical n-back paradigm) allowed us to study the impact of the SFG lesions on domain (verbal, spatial, face) and complexity (1-, 2- and 3-back) processing within WM. As expected, patients with a left SFG lesion exhibited a WM deficit when compared with all control groups, and the impairment increased with the complexity of the tasks. This complexity effect was significantly more marked for the spatial domain. Voxel-to-voxel mapping of each subject's performance showed that the lateral and posterior portion of the SFG (mostly Brodmann area 8, rostral to the frontal eye field) was the subregion that contributed the most to the WM impairment. These data led us to conclude that (i) the lateral and posterior portion of the left SFG is a key component of the neural network of WM; (ii) the participation of this region in WM is triggered by the highest level of executive processing; (iii) the left SFG is also involved in spatially oriented processing. Our findings support a hybrid model of the anatomical and functional organization of the lateral SFG for WM, according to which this region is involved in higher levels of WM processing (monitoring and manipulation) but remains oriented towards spatial cognition, although the domain specificity is not exclusive and is overridden by an increase in executive demand, regardless of the domain being processed. From a clinical perspective, this study provides new information on the impact of left SFG lesions on cognition that will be of use to neurologists and neurosurgeons.
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              GWAS on family history of Alzheimer’s disease

              Alzheimer’s disease (AD) is a public health priority for the 21st century. Risk reduction currently revolves around lifestyle changes with much research trying to elucidate the biological underpinnings. We show that self-report of parental history of Alzheimer’s dementia for case ascertainment in a genome-wide association study of 314,278 participants from UK Biobank (27,696 maternal cases, 14,338 paternal cases) is a valid proxy for an AD genetic study. After meta-analysing with published consortium data (n = 74,046 with 25,580 cases across the discovery and replication analyses), three new AD-associated loci (P < 5 × 10−8) are identified. These contain genes relevant for AD and neurodegeneration: ADAM10, BCKDK/KAT8 and ACE. Novel gene-based loci include drug targets such as VKORC1 (warfarin dose). We report evidence that the association of SNPs in the TOMM40 gene with AD is potentially mediated by both gene expression and DNA methylation in the prefrontal cortex. However, it is likely that multiple variants are affecting the trait and gene methylation/expression. Our discovered loci may help to elucidate the biological mechanisms underlying AD and, as they contain genes that are drug targets for other diseases and disorders, warrant further exploration for potential precision medicine applications.
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                Author and article information

                Journal
                101573691
                39703
                Cell Rep
                Cell Rep
                Cell reports
                2211-1247
                10 July 2020
                30 June 2020
                12 August 2020
                : 31
                : 13
                : 107843
                Affiliations
                [1 ]Department of Neuroscience, Genentech, Inc., South San Francisco, CA, USA
                [2 ]Department of Bioinformatics and Computational Biology, Genentech, Inc., South San Francisco, CA, USA
                [3 ]Department of Biomarker Discovery OMNI, Genentech, Inc., South San Francisco, CA, USA
                [4 ]Department of Pathology, Genentech, Inc., South San Francisco, CA, USA
                [5 ]Department of Immunology, Genentech, Inc., South San Francisco, CA, USA
                [6 ]Department of Microchemistry, Proteomics and Lipidomics, Genentech, Inc., South San Francisco, CA, USA
                [7 ]Banner Sun Health Research Institute, Sun City, AZ, USA
                [8 ]Present address: Alector, Inc., South San Francisco, CA, USA
                [9 ]Present address: Clover Health, San Francisco, CA, USA
                [10 ]Present address: Calico Life Sciences LLC, South San Francisco, CA, USA
                [11 ]Present address: Brigham Young University, Provo, UT, USA
                [12 ]These authors contributed equally
                [13 ]Lead Contact
                Author notes

                AUTHOR CONTRIBUTIONS

                K.S., B.A.F., and D.V.H. conceived of the study and planned the analysis. K.S. performed experimental procedures for the sorted-cell RNA-seq (GEO: GSE125050; tissue handling, cell sorting, and RNA extraction) and qPCR ( Figures 3B, 3C, and S3). K.S. and Z.M.’s group performed RNA-seq library construction, and Z.M. oversaw library QC and sequencing. A.E., M.P.v.d.B., and O.F. generated whole-tissue RNA-seq data, and M.A.H. performed initial data processing of the new FuG whole-tissue study (GEO: GSE125583). B.A.F. performed all other data analysis and generated all figures except Figures 1D, 2, and S1, which were prepared by D.V.H. T.G.B. and G.E.S. performed human subject and tissue selection. B.A.F. and D.V.H. wrote the manuscript, with input from all authors.

                [* ]Correspondence: friedman.brad@ 123456gene.com (B.A.F.), dvhansen@ 123456chem.byu.edu (D.V.H.)
                Article
                NIHMS1608497
                10.1016/j.celrep.2020.107843
                7422733
                32610143
                5ee2631c-21e2-4d01-9057-d4c1dd5d0bdc

                This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/).

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                Cell biology
                Cell biology

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