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      Large-scale Proteomic Analysis of Alzheimer’s Disease Brain and Cerebrospinal Fluid Reveals Early Changes in Energy Metabolism Associated with Microglia and Astrocyte Activation

      research-article
      Author(s): 1 , 2 , * , 1 , 3 , 1 , 3 , 1 , 2 , 3 , 1 , 2 , 3 , 3 , 2 , 4 , 4 , 4 , 5 , 6 , 7 , 7 , 8 , 9 , 10 , 11 , 12 , 12 , 12 , 13 , 13 , 14 , 15 , 16 , 17 , 18 , 1 , 2 , 2 , 2 , 19 , 20 , 1 , 2 , 1 , 2 , * , 1 , 2 , 3 , *
      Publication date (Electronic):
      Journal: Nature medicine

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          Abstract

          Our understanding of Alzheimer’s disease (AD) pathophysiology remains incomplete. Here, we used quantitative mass spectrometry and co-expression network analysis to conduct the largest proteomic study thus far on AD. A protein network module linked to sugar metabolism emerged as one of the most significantly associated modules to AD pathology and cognitive impairment. This module was enriched in AD genetic risk factors and in microglia and astrocyte protein markers associated with an anti-inflammatory state, suggesting that the biological functions it represents serve a protective role in AD. Proteins from this module were elevated in cerebrospinal fluid in early stages of the disease. In this study of >2000 brains and nearly 400 cerebrospinal fluid samples by quantitative proteomics, we identify proteins and biological processes in AD brain that may serve as therapeutic targets and fluid biomarkers for the disease.

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          Religious Orders Study and Rush Memory and Aging Project.

          David Bennett, Aron Buchman, Patricia Boyle … (2018)
          The Religious Orders Study and Rush Memory and Aging Project are both ongoing longitudinal clinical-pathologic cohort studies of aging and Alzheimer's disease (AD).
          Article 0 comments Cited 445 times – based on 0 reviews     Review now
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            Parallel reaction monitoring for high resolution and high mass accuracy quantitative, targeted proteomics.

            Amelia C Peterson, Jason D Russell, Derek J Bailey … (2012)
            Selected reaction monitoring on a triple quadrupole mass spectrometer is currently experiencing a renaissance within the proteomics community for its, as yet, unparalleled ability to characterize and quantify a set of proteins reproducibly, completely, and with high sensitivity. Given the immense benefit that high resolution and accurate mass instruments have brought to the discovery proteomics field, we wondered if highly accurate mass measurement capabilities could be leveraged to provide benefits in the targeted proteomics domain as well. Here, we propose a new targeted proteomics paradigm centered on the use of next generation, quadrupole-equipped high resolution and accurate mass instruments: parallel reaction monitoring (PRM). In PRM, the third quadrupole of a triple quadrupole is substituted with a high resolution and accurate mass mass analyzer to permit the parallel detection of all target product ions in one, concerted high resolution mass analysis. We detail the analytical performance of the PRM method, using a quadrupole-equipped bench-top Orbitrap MS, and draw a performance comparison to selected reaction monitoring in terms of run-to-run reproducibility, dynamic range, and measurement accuracy. In addition to requiring minimal upfront method development and facilitating automated data analysis, PRM yielded quantitative data over a wider dynamic range than selected reaction monitoring in the presence of a yeast background matrix because of PRM's high selectivity in the mass-to-charge domain. With achievable linearity over the quantifiable dynamic range found to be statistically equal between the two methods, our investigation suggests that PRM will be a promising new addition to the quantitative proteomics toolbox.
            Article 0 comments Cited 390 times – based on 0 reviews     Review now
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              Overview and findings from the rush Memory and Aging Project.

              David A. Bennett, Julie A. Schneider, Aron S. Buchman … (2012)
              The Memory and Aging Project is a longitudinal, epidemiologic clinical-pathologic cohort study of common chronic conditions of aging with an emphasis on decline in cognitive and motor function and risk of Alzheimer's disease (AD). In this manuscript, we first summarize the study design and methods. Then, we present data on: (1) the relation of motor function to cognition, disability, and death; (2) the relation of risk factors to cognitive and motor outcomes, disability and death; (3) the relation of neuropathologic indices to cognitive outcomes; (4) the relation of risk factors to neuropathologic indices; and (5) additional study findings. The findings are discussed and contextualized.
              Article 0 comments Cited 341 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-journal-id): 9502015
                Journal ID (pubmed-jr-id): 8791
                Journal ID (nlm-ta): Nat Med
                Journal ID (iso-abbrev): Nat. Med.
                Title: Nature medicine
                ISSN (Print): 1078-8956
                ISSN (Electronic): 1546-170X
                Publication date Nihms-submitted: 2 July 2020
                Publication date (Electronic): 13 April 2020
                Publication date (Print): May 2020
                Publication date PMC-release: 01 November 2020
                Volume: 26
                Issue: 5
                Pages: 769-780
                Affiliations
                [1 ]Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA, USA
                [2 ]Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
                [3 ]Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, USA
                [4 ]Johns Hopkins School of Medicine, Baltimore, MD, USA
                [5 ]Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
                [6 ]Department of Pathology, School of Medicine, Stanford University, Palo Alto, CA, USA
                [7 ]Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
                [8 ]Banner Sun Health Research Institute, Sun City, AZ, USA
                [9 ]Banner Alzheimer’s Institute, Arizona State University and University of Arizona, Phoenix, AZ, USA
                [10 ]Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA
                [11 ]JJ Peters VA Medical Center MIRECC, 130 West Kingsbridge Road, Bronx, NY, USA
                [12 ]Department of Genetics and Genomic Sciences, Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, USA
                [13 ]Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
                [14 ]Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
                [15 ]Department of Neuroscience, Center for Translational Research in Neurodegenerative Disease, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
                [16 ]Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
                [17 ]Center for Translational & Computational Neuroimmunology, Department of Neurology, Taub Institute, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, NY, USA
                [18 ]Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
                [19 ]Departments of Neurology, Neuroscience, and Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA
                [20 ]Jan and Dan Duncan Neurologic Research Institute, Texas Children’s Hospital, Houston, TX, USA
                Author notes

                Author Contributions

                E.C.B.J., E.B.D., D.M.D., L.P., M.Z., A.G., V.A.P., and N.T.S. designed experiments; D.M.D., L.P., M.Z., L.Y., A.G., and V.A.P. carried out experiments; E.C.B.J., E.B.D., M.Z., V.A.P., and N.T.S. analyzed data; D.M.D., L.P., L.A.H., B.W., J.C.T., M.T., T.J.M., E.B.L., J.Q.T., T.G.B., E.M.R., V.H., M.W., E.S., B.Z., D.W.D., N.E.-T, T.E.G., V.A.P., P.L.D.J., D.A.B., T.S.W., S.R., I.H., and J.M.S. provided advice on the interpretation of data; E.C.B.J. wrote the manuscript with input from coauthors; J.C.T., T.J.M., J.Q.T., T.G.B., V.H., M.W., D.W.D., D.A.B., and I.H. provided tissue samples; A.I.L., J.J.L., and N.T.S. supervised the study. All authors approved the final manuscript.

                [†]

                These authors contributed equally

                Article
                Accession ID: PMC7405761 Pmcid ID: PMC7405761 Pmc-uid ID: 7405761 Manuscript ID: nihpa1606876
                DOI: 10.1038/s41591-020-0815-6
                PMC ID: 7405761
                PubMed ID: 32284590
                SO-VID: 34d78c06-75e3-44f9-8b93-574794d8e22c
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