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.