Researchers uncover the nonlinear dynamics of aging, revealing significant biological shifts at ages 40 and 60, offering new insights into age-related diseases.
By Hugo Francisco de SouzaReviewed by Susha Cheriyedath, M.Sc.Aug 16 2024 Study: Nonlinear dynamics of multi-omics profiles during human aging. Image Credit: tomertu / Shutterstock
a, The demographics of the 108 participants in the study are presented. b, Sample collection and multi-omics data acquisition of the cohort. Four types of biological samples were collected, and 10 types of omics data were acquired. Unfortunately, despite this relatively novel knowledge, the literature has hitherto mainly investigated the biology of aging with the assumption that aging is a linear process. This approach has potentially masked mechanistic insights essential for developing therapeutic interventions against age-related diseases, hindering the quest for extended human lifespans and healthier old ages.
"…5,405 biological samples were collected. 135,239 biological features were acquired, resulting in 246,507,456,400 data points." a, Pathway enrichment and biological functional module analysis for crests 1 and 2. Dots and lines are color-coded by omics type. b, The overlapping of molecules between two crests and three clusters.
Alcohol Blood Carbohydrate Chromatography Chronic Diabetes Glucose Insulin Kidney Laboratory Liquid Chromatography Metabolism Metabolomics Microbiome Proteomics Research Skin Transcriptomics
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