| Autor: |
Paola Sebastiani, Stefano Monti, Michael S. Lustgarten, Zeyuan Song, Dylan Ellis, Qu Tian, Michaela Schwaiger-Haber, Ethan Stancliffe, Anastasia Leshchyk, Meghan I. Short, Andres V. Ardisson Korat, Anastasia Gurinovich, Tanya Karagiannis, Mengze Li, Hannah J. Lords, Qingyan Xiang, Megan M. Marron, Harold Bae, Mary F. Feitosa, Mary K. Wojczynski, Jeffrey R. O’Connell, May E. Montasser, Nicole Schupf, Konstantin Arbeev, Anatoliy Yashin, Nicholas Schork, Kaare Christensen, Stacy L. Andersen, Luigi Ferrucci, Noa Rappaport, Thomas T. Perls, Gary J. Patti |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Cell Reports, Vol 43, Iss 11, Pp 114913- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2211-1247 |
| DOI: |
10.1016/j.celrep.2024.114913 |
| Popis: |
Summary: Metabolites that mark aging are not fully known. We analyze 408 plasma metabolites in Long Life Family Study participants to characterize markers of age, aging, extreme longevity, and mortality. We identify 308 metabolites associated with age, 258 metabolites that change over time, 230 metabolites associated with extreme longevity, and 152 metabolites associated with mortality risk. We replicate many associations in independent studies. By summarizing the results into 19 signatures, we differentiate between metabolites that may mark aging-associated compensatory mechanisms from metabolites that mark cumulative damage of aging and from metabolites that characterize extreme longevity. We generate and validate a metabolomic clock that predicts biological age. Network analysis of the age-associated metabolites reveals a critical role of essential fatty acids to connect lipids with other metabolic processes. These results characterize many metabolites involved in aging and point to nutrition as a source of intervention for healthy aging therapeutics. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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