Personal aging markers and ageotypes revealed by deep longitudinal profiling.

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ID: 83642
2020
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Abstract
The molecular changes that occur with aging are not well understood. 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.
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ahadi2020personalnature Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ahadi, Sara;Zhou, Wenyu;Schüssler-Fiorenza Rose, Sophia Miryam;Sailani, M Reza;Contrepois, Kévin;Avina, Monika;Ashland, Melanie;Brunet, Anne;Snyder, Michael;
Journal Nature Medicine
Year 2020
DOI 10.1038/s41591-019-0719-5
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Keywords
self-management wellness health professional healthcare provider demanding work environment individual wellness personal wellness somatology

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