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Updated: Jan 28, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
Published on: November 10, 2023
Ageing Investigation Using Two-Time-Point Metabolomics Data from KORA and CARLA Studies
Choiwai Maggie Chak1,2, Maria Elena Lacruz3, Jonathan Adam4,5,6
1Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany. c.w.chak@utwente.nl.
This study identifies key metabolites linked to healthy ageing in men and women. Changes in arginine, ornithine, and other compounds offer insights into ageing processes like apoptosis and inflammation.
Area of Science:
- Metabolomics
- Gerontology
- Biochemistry
Background:
- Ageing is a major risk factor for diseases, closely linked to metabolic changes.
- Understanding metabolite shifts in healthy ageing provides insights into longevity.
- Identifying age-associated metabolites independent of chronological age is crucial.
Purpose of the Study:
- To identify and replicate ageing-associated metabolites in healthy individuals.
- To understand long-term metabolite changes during ageing.
- To explore the biochemical relevance of identified metabolites in ageing processes.
Main Methods:
- Longitudinal analysis of fasting serum samples from KORA and CARLA cohorts.
- Sex-stratified analysis using generalized estimation equation models.
- Adjustment for covariates including age, BMI, physical activity, and lifestyle factors.
Main Results:
- Five metabolites (C18, arginine, ornithine, serine, tyrosine) identified in women; four (arginine, ornithine, PC aa C36:3, PC ae C40:5) in men.
- Arginine levels decreased, while ornithine levels increased in both sexes.
- Identified metabolites are implicated in apoptosis, mitochondrial dysfunction, inflammation, and lipid metabolism.
Conclusions:
- Significant ageing-associated metabolite changes were identified and replicated in healthy individuals.
- Metabolite alterations are linked to fundamental ageing processes.
- Further research with larger cohorts is needed to validate these findings.
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