| Literature DB >> 31932806 |
Sara Ahadi1, Wenyu Zhou1, Sophia Miryam Schüssler-Fiorenza Rose1, M Reza Sailani1, Kévin Contrepois1, Monika Avina1, Melanie Ashland1, Anne Brunet1, Michael Snyder2.
Abstract
The molecular changes that occur with aging are not well understood1-4. Here, we performed longitudinal and deep multiomics profiling of 106 healthy individuals from 29 to 75 years of age and examined how different types of 'omic' measurements, including transcripts, proteins, metabolites, cytokines, microbes and clinical laboratory values, correlate with age. We identified both known and new markers that associated with age, as well as distinct molecular patterns of aging in insulin-resistant as compared to insulin-sensitive individuals. In a longitudinal setting, we identified personal aging markers whose levels changed over a short time frame of 2-3 years. Further, we defined different types of aging patterns in different individuals, termed 'ageotypes', on the basis of the types of molecular pathways that changed over time in a given individual. Ageotypes may provide a molecular assessment of personal aging, reflective of personal lifestyle and medical history, that may ultimately be useful in monitoring and intervening in the aging process.Entities:
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Year: 2020 PMID： 31932806 PMCID： PMC7301912 DOI： 10.1038/s41591-019-0719-5
Source DB: PubMed Journal: Nat Med ISSN： 1078-8956 Impact factor: 53.440