Chinese scholars discover new biomarkers for predicting healthy aging


  

  Figure Research Queue and Analysis Approach

  With the support of the National Natural Science Foundation of China's "Digital Decoding of Immunity" major research project (approval number: 92374112), researchers Zheng Jusheng and Guo Tiannan from the School of Medicine of Xihu University, together with Professor Chen Yuming from the School of Public Health of Sun Yat sen University, have made progress in the early warning of healthy aging status and related cardiovascular metabolic disease risks in middle-aged and elderly populations. The research results, titled "Longitudinal serum proteome mapping reveals biomarkers for health aging and related cardiovascular diseases", were published in the journal Nature Metabolism on January 13, 2025. Above, the link to the paper is: https://doi.org/10.1038/s42255-024-01185-7 .

  Aging is a complex biological process involving multi-level changes in molecules, cells, tissues, and organs. Identifying novel protein biomarkers related to aging has important scientific value. Researchers used high-throughput mass spectrometry to determine the serum proteome based on serum samples from the Chinese Han middle-aged and elderly population cohort (GNHS), and identified 86 protein biomarkers associated with aging. They also studied their biological functions and their associations with clinical indicators and disease risk; The "protein health aging score" was constructed using machine learning model, which can predict the long-term risk of metabolic diseases such as fatty liver and type 2 diabetes; Using multiple omics data, the impact of nutrition, gut microbiota, and other factors on the "Protein Health Aging Score" was revealed; The research results provide a theoretical basis for the mechanism analysis and intervention treatment of aging related diseases.