Undulating changes in human plasma proteome profiles across the lifespan
| Autor: | Benoit Lehallier, Nicholas Schaum, Sanish Sathyan, David Gate, Claudio Franceschi, Tibor Nanasi, Daniela Berdnik, Tony Wyss-Coray, Nir Barzilai, Andreas Keller, Patricia Moran Losada, Song Eun Lee, Sofiya Milman, Hanadie Yousef, Joe Verghese |
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| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Adult Male Aging Adolescent Proteome Longevity Disease Biology Genome General Biochemistry Genetics and Molecular Biology Article Predictive medicine Biological pathway 03 medical and health sciences Mice Young Adult 0302 clinical medicine Risk Factors Animals Humans Young adult Aged Genetics Aged 80 and over General Medicine Phenotypic trait Blood Proteins Middle Aged Blood proteins 030104 developmental biology 030220 oncology & carcinogenesis Chronic Disease Female |
| Zdroj: | Nature medicine |
| ISSN: | 1546-170X |
| Popis: | Aging is a predominant risk factor for several chronic diseases that limit healthspan1. Mechanisms of aging are thus increasingly recognized as potential therapeutic targets. Blood from young mice reverses aspects of aging and disease across multiple tissues2–10, 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. Aptamer-based proteomic analysis of plasma from healthy individuals aged 18–95 years reveals wave-like patterns of protein expression that are associated with age-related diseases and phenotypic traits. |
| Databáze: | OpenAIRE |
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