Understanding Metabolomic Aging and Health Outcomes
Author Information
Author(s): Jia Xueqing, Fan Jiayao, Wu Xucheng, Deelen Joris, Zhou Dan, Liu Zuyun
Primary Institution: Zhejiang University School of Medicine
Hypothesis
Existing metabolomic clocks do not adequately capture the heterogeneous aging rates among individuals of the same chronological age.
Conclusion
The new aging measure MetaboAgeMort significantly improves the prediction of 10-year all-cause mortality and identifies modifiable factors associated with aging.
Supporting Evidence
- MetaboAgeMort was validated for predicting 10-year all-cause mortality.
- 99 modifiable factors were identified that influence metabolomic aging.
- The study found significant associations between MetaboAgeMort and various health outcomes.
Takeaway
This study shows that people of the same age can age differently based on their metabolism, and we can use this information to help them live healthier lives.
Methodology
The study generated and validated a new aging measure using metabolomic profiles from UK Biobank participants.
Participant Demographics
Participants were from the UK Biobank, totaling 239,291 individuals.
Statistical Information
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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