Aging is a multifaceted process involving the accumulation of diverse deleterious changes in biological systems over time, so significant alterations in cellular metabolism are detected throughout aging. In the present study, the metabolic processes relevant to the normal aging process were investigated via non-targeted metabolomics using liquid chromatography–mass spectrometry. To exclude physiological and environmental differences, the metabolic profiles and the relevant metabolic pathways were analyzed in plasma from two separate study groups comprising two distinctly aged cohorts of healthy individuals, the elderly and the younger. The first group was recruited from an urban hospital, and the second group was recruited from a rural community. Alterations in fatty acid beta-oxidation, glycerophospholipid metabolism, and sphingolipid metabolism were identified as significant metabolic pathways relevant to normal aging. It was also found that sphingosine in sphingolipid metabolism, long-chain acylcarnitines in beta-oxidation, and lysophosphatidylcholines (LysoPCs) in glycerophospholipid metabolism could be critical candidate metabolites in the aging process. These results suggest that the metabolic profile of the healthiest individuals could be associated with the normal function of mitochondria, the primary organelle of redox homeostasis, as indicated by their low acylcarnitine to l-carnitine ratio and low levels of LysoPCs and sphingosine in plasma. The present study provides a critical contribution to the entire picture of the aging process.
Bibliographical noteFunding Information:
Acknowledgments This study was supported by the Creative Fusion Research Program through the Creative Allied Project funded by the Korea Research Council of Fundamental Science and Technology (CAP-12-1), the Bio-Synergy Research Project (NRF-2013M3A9C4078145) of the Ministry of Science, ICT and Future Planning through the National Research Foundation and the Korea Institute of Science and Technology (KIST). We would like to especially thank Prof. Hyun Ok Kim (Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea) for her help with the serum biochemical analyses.
All Science Journal Classification (ASJC) codes
- Endocrinology, Diabetes and Metabolism
- Clinical Biochemistry