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Abstract
Mass spectrometry (MS)-based proteomics is a powerful tool to explore pathogenic changes of a disease in an unbiased manner and has been used extensively in Alzheimer disease (AD) research. Here, by performing a meta-analysis of high-quality proteomic studies, we address which pathological changes are observed consistently and therefore most likely are of great importance for AD pathogenesis. We retrieved datasets, comprising a total of 21,588 distinct proteins identified across 857 postmortem human samples, from ten studies using labeled or label-free MS approaches. Our meta-analysis findings showed significant alterations of 757 and 1,195 proteins in AD in the labeled and label-free datasets, respectively. Only 33 proteins, some of which were associated with synaptic signaling, had the same directional change across the individual studies. However, despite alterations in individual proteins being different between the labeled and the label-free datasets, several pathways related to synaptic signaling, oxidative phosphorylation, immune response and extracellular matrix were commonly dysregulated in AD. These pathways represent robust changes in the human AD brain and warrant further investigation.
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1 Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Center for Alzheimer Research, Solna, Sweden (GRID:grid.465198.7)
2 Stockholm University, National Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm, Sweden (GRID:grid.10548.38) (ISNI:0000 0004 1936 9377)
3 Lund University, Division of Clinical Protein Science & Imaging, Department of Clinical Sciences (Lund) and Department of Biomedical Engineering, Lund, Sweden (GRID:grid.4514.4) (ISNI:0000 0001 0930 2361)
4 The University of Manchester, Manchester Academic Health Sciences Centre, Stoller Biomarker Discovery Centre, and Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester, UK (GRID:grid.5379.8) (ISNI:0000000121662407)
5 University of North Dakota, Department of Biology, Grand Forks, USA (GRID:grid.266862.e) (ISNI:0000 0004 1936 8163)
6 Emory University School of Medicine, Goizueta Alzheimer’s Disease Research Center, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502); Emory University School of Medicine, Department of Biochemistry, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502)
7 Emory University School of Medicine, Goizueta Alzheimer’s Disease Research Center, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502); Emory University School of Medicine, Department of Neurology, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502)
8 Emory University School of Medicine, Goizueta Alzheimer’s Disease Research Center, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502); Emory University School of Medicine, Department of Biochemistry, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502); Emory University School of Medicine, Department of Neurology, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502)
9 Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Center for Alzheimer Research, Solna, Sweden (GRID:grid.465198.7); Karolinska University Hospital, Theme of Inflammation and Aging, Huddinge, Sweden (GRID:grid.24381.3c) (ISNI:0000 0000 9241 5705)
10 Vrije Universiteit Amsterdam, Amsterdam UMC, Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227)
11 Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Center for Alzheimer Research, Solna, Sweden (GRID:grid.465198.7); Vrije Universiteit Amsterdam, Amsterdam UMC, Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227); Maastricht University, Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht, The Netherlands (GRID:grid.5012.6) (ISNI:0000 0001 0481 6099)