Plasma proteomic signatures of cellular aging predict human disease.

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Bibliographic Details
Title: Plasma proteomic signatures of cellular aging predict human disease.
Authors: Ding DY; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.; The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA., Bot VA; The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Graduate Program in Bioengineering, Stanford University, Stanford, CA, USA., Chen KL; Divisions of Hematology and Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Groves JW; Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK., Pálovics R; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA., Masuda D; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Management Science and Engineering, Stanford University, Stanford, CA, USA., Farinas A; The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Graduate Program in Neuroscience, Stanford University, Stanford, CA, USA., Oh HS; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Brain and Body Research Center of the Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Wagner V; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.; The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA., Lu N; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.; The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA., Cruchaga C; Department of Psychiatry, Washington University, St. Louis, MO, USA.; NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA., Isakova A; The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA., Schott JM; Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.; UK Dementia Research Institute at UCL, London, UK., Wyss-Coray T; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA. twc@stanford.edu.; The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA. twc@stanford.edu.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA. twc@stanford.edu.
Corporate Authors: Global Neurodegeneration Proteomics Consortium (GNPC)
Source: Nature medicine [Nat Med] 2026 Jun; Vol. 32 (6), pp. 2060-2072. Date of Electronic Publication: 2026 Jun 15.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Company Country of Publication: United States NLM ID: 9502015 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-170X (Electronic) Linking ISSN: 10788956 NLM ISO Abbreviation: Nat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-170X
DOI:10.1038/s41591-026-04446-y