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ARS Home » Northeast Area » Boston, Massachusetts » Jean Mayer Human Nutrition Research Center On Aging » Research » Publications at this Location » Publication #423835

Research Project: Nutrition, Sarcopenia, Physical Function, and Skeletal Muscle Capacity During Aging

Location: Jean Mayer Human Nutrition Research Center On Aging

Title: Metabolite signatures of chronological age, aging, survival, and longevity

Author
item SEBASTIANI, PAOLA - Tufts Medical Center
item MONTI, STEFANO - Boston University
item LUSTGARTEN, MICHAEL - Jean Mayer Human Nutrition Research Center On Aging At Tufts University
item SONG, ZEYUAN - Boston University
item ELLIS, DYLAN - Institute For Systems Biology
item TIAN, QU - National Institute On Aging (NIA, NIH)
item SCHWAIGER-HABER, MICHAELA - Washington University
item STANCLIFF, ETHAN - Washington University
item ARDISSON KORAT, ANDRES - Jean Mayer Human Nutrition Research Center On Aging At Tufts University
item GURINOVICH, ANASTASIA - Tufts Medical Center
item KARAGIANNIS, TANYA - Tufts Medical Center
item LESCHYK, ANASTASIA - Boston University
item LI, MENGZE - Boston University
item LORDS, HANNAH - Boston University
item SHORT, MEGHAN - Tufts Medical Center
item XIANG, QINGYAN - Vanderbilt University Medical Center
item MARRON, MEGHAN - University Of Pittsburgh
item FEITOSA, MARY - Washington University
item WOJCZYNSKI, MARY - Washington University
item O'CONNELL, JEFF - University Of Maryland School Of Medicine
item MONTASSER, MAY - University Of Maryland
item SCHORK, NICHOLAS - Translational Genomics Research Institute
item ARBEEV, KONSTANTIN - Duke University
item YASHIN, ANATOLIY - Duke University
item KRISTENSEN, KAARE - University Of Southern Denmark
item ANDERSEN, STACY - Boston University
item FERRUCCI, LUIGI - National Institute On Aging (NIA, NIH)
item RAPPAPORT, NOA - Buck Institute For Age Research
item PATTI, GARY - Washington University
item PERLS, THOMAS - Boston University

Submitted to: Cell Reports
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 10/10/2024
Publication Date: 11/26/2024
Citation: Sebastiani, P., Monti, S., Lustgarten, M., Song, Z., Ellis, D., Tian, Q., Schwaiger-Haber, M., Stancliff, E., Ardisson Korat, A., Gurinovich, A., Karagiannis, T., Leschyk, A., Li, M., Lords, H., Short, M., Xiang, Q., Marron, M.M., Feitosa, M., Wojczynski, M., O'Connell, J., Montasser, M., Schork, N., Arbeev, K., Yashin, A., Kristensen, K., Andersen, S.L., Ferrucci, L., Rappaport, N., Patti, G., Perls, T.T. 2024. Metabolite signatures of chronological age, aging, survival, and longevity . Cell Reports. https://doi.org/10.1016/j.celrep.2024.114913.
DOI: https://doi.org/10.1016/j.celrep.2024.114913

Interpretive Summary: Aging impacts multiple physiological functions, which puts older individuals at a higher risk for disease and mortality. Identification of metabolites and their corresponding pathways that serve as biomarkers of aging, extreme human longevity and mortality is an ongoing process-in this manuscript, we identified significant associations for metabolites derived from tryptophan metabolism and mitochondrial function with aging, mortality risk, and/or extreme longevity. Furthermore, our findings suggest a role for diet quality on metabolite profiles that were associated with healthy aging.

Technical Abstract: 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.