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Recently, the team led by Pan An and Geng Tingting from the School of Public Health of Huazhong University of Science and Technology has made new progress in the proteomics characteristics of metabolic aging. They published a research article titled "Plasma Proteomics Reveals Biomarkers and Oscillating Changes in Metabolic Aging" in the Research journal. The study identified the core plasma proteins related to metabolic aging and explored the critical periods of significant changes in plasma proteins during metabolic aging, providing a scientific basis for developing biomarkers of metabolic aging and formulating personalized intervention strategies for healthy aging. Citation: Zhang J, Yu H, Xiong Y, Xue D, Chen S, Li J, Li X, Xie J, Wang Y, Xu K, Liu G, Liao Y, Pan A, Geng T. Plasma Proteomics Reveals Biomarkers and Undulating Changes in Metabolic Aging. Research (Wash D C). 2025 Dec 4; 8:1004. doi: 10.34133/research.1004. PMID: 41356597; PMCID: PMC12678049.
Research Background
The global issue of population aging is becoming increasingly severe. With the increase in age comes a decline in metabolic function, and accelerated metabolic aging significantly increases the risk of cardiovascular and metabolic diseases and mortality. Therefore, slowing down metabolic aging is crucial for preventing cardiovascular and metabolic diseases and promoting healthy aging. In recent years, breakthroughs in proteomics technology have provided new pathways for discovering novel biomarkers and potential pathways of metabolic aging.
Research Progress
Based on a prospective population cohort, this study constructed metabolic biological age among 203,491 participants with metabolomics data. Metabolic biological age is one of the indicators for measuring the degree of metabolic aging. The study showed that the constructed metabolic biological age could enhance the predictive power for mortality, cardiovascular diseases, and type 2 diabetes risk beyond traditional risk factors (Figure 1). Metabolic biological age is closely related to other aging characteristics, such as telomere shortening and frailty (Figure 2).
