Undulating changes in human plasma proteome profiles across the lifespan.

Autor: Lehallier B; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA. lehallib@stanford.edu.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA. lehallib@stanford.edu.; Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA. lehallib@stanford.edu., Gate D; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA.; Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA., Schaum N; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA., Nanasi T; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA.; Institute of Cognitive Neuroscience and Psychology, Hungarian Academy of Sciences Research Centre for Natural Sciences, Budapest, Hungary., Lee SE; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA.; Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA., Yousef H; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA.; Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA., Moran Losada P; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA., Berdnik D; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA.; Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA., Keller A; Clinical Bioinformatics, Saarland University, Saarbrücken, Germany., Verghese J; Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.; Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA., Sathyan S; Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.; Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA., Franceschi C; Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.; Department of Applied Mathematics, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia., Milman S; Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA., Barzilai N; Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA., Wyss-Coray T; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA. twc@stanford.edu.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA. twc@stanford.edu.; Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA. twc@stanford.edu.; Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA. twc@stanford.edu.
Jazyk: angličtina
Zdroj: Nature medicine [Nat Med] 2019 Dec; Vol. 25 (12), pp. 1843-1850. Date of Electronic Publication: 2019 Dec 05.
DOI: 10.1038/s41591-019-0673-2
Abstrakt: Aging is a predominant risk factor for several chronic diseases that limit healthspan 1 . Mechanisms of aging are thus increasingly recognized as potential therapeutic targets. Blood from young mice reverses aspects of aging and disease across multiple tissues 2-10 , which supports a hypothesis that age-related molecular changes in blood could provide new insights into age-related disease biology. We measured 2,925 plasma proteins from 4,263 young adults to nonagenarians (18-95 years old) and developed a new bioinformatics approach that uncovered marked non-linear alterations in the human plasma proteome with age. Waves of changes in the proteome in the fourth, seventh and eighth decades of life reflected distinct biological pathways and revealed differential associations with the genome and proteome of age-related diseases and phenotypic traits. This new approach to the study of aging led to the identification of unexpected signatures and pathways that might offer potential targets for age-related diseases.
Databáze: MEDLINE
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