Personal aging markers and ageotypes revealed by deep longitudinal profiling.
Level 3 - non-randomized controlled study
Prospective longitudinal cohort study tracking multiomic profiles over time.
PubMed 31932806 · doi:10.1038/s41591-019-0719-5
What was done
Performed longitudinal multiomics profiling on 106 healthy individuals aged 29 to 75 years followed over a period of 2 to 3 years. Measured transcripts, proteins, metabolites, cytokines, microbiome composition, and routine clinical laboratory values, analyzing correlations with chronological age and differences between insulin-resistant and insulin-sensitive participants.
What was found
The abstract reports no numerical values, effect sizes, or statistical test results. It reports the identification of known and novel age-associated markers, divergent molecular aging patterns between insulin-resistant and insulin-sensitive individuals, and distinct personal trajectories of molecular change over 2 to 3 years classified into pathway-specific aging patterns termed ageotypes.
Why it matters
This study introduces the concept of ageotypes, suggesting that human biological aging involves heterogeneous, individualized molecular pathways rather than a uniform systemic process.
Limits
The study evaluated a small sample (106 participants) across a broad age range (29 to 75 years) over a relatively short follow-up duration of 2 to 3 years. Findings derive solely from healthy participants and may not generalize to broader, more diverse, or clinically ill populations. The abstract provides no quantitative data.
Cited by
- supports Deep molecular profiling of 43 people followed longitudinally identified distinct personal aging patterns categorized into kidney, liver, immune, and metabolic ageotypes.