生物衰老的葡萄糖状况依赖的蛋白质特征,用于健康风险预测

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Updated: Jan 11, 2026

Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry
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Measurement of Protein Turnover Rates in Senescent and Non-Dividing Cultured Cells with Metabolic Labeling and Mass Spectrometry

Published on: April 6, 2022

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Jiang Li1, Jie Li1, Xiaoqin Xu1

  • 1Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.

GeroScience
|November 18, 2025
PubMed
概括

这项研究揭示了基于血糖状况的独特蛋白质衰老模式,开发了蛋白质衰老得分 (ProAS),改善了对死亡率和疾病的健康风险预测,特别是在正常血糖水平的个体中.

关键词:
生物衰老 生物衰老血糖状态 血糖状态健康结果的健康结果.蛋白质组是蛋白质组的组成部分.

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