多参数代谢动态监测数据

本数据集整合了超过25万人群长达10年的多维度代谢动态监测数据，涵盖糖代谢、血脂谱、肥胖指标及肝肾功能的时序变化，为解析代谢综合征异质性机制、优化肥胖与糖尿病前期联合干预策略、个性化健康管理方案等提供高价值数据资源，助力慢性病早筛、精准防控与转化医学研究。此外，其大规模、长周期、多参数的特征，支持代谢稳态失衡机制、糖脂代谢交互作用及开发动态监测工具等多维度研究。

This dataset integrates multi-dimensional longitudinal dynamic metabolic monitoring data from over 250,000 individuals over a 10-year period, covering the temporal variations in glucose metabolism, blood lipid profiles, obesity indicators, and liver and kidney function. It provides high-value data resources for elucidating the heterogeneous mechanisms of metabolic syndrome, optimizing combined intervention strategies for obesity and prediabetes, and developing personalized health management plans, and facilitates chronic disease early screening, precise prevention and control, and translational medical research. Furthermore, its large-scale, long-duration, and multi-parameter characteristics support multi-dimensional research on mechanisms of metabolic homeostasis imbalance, glucose-lipid metabolic interactions, and the development of dynamic monitoring tools.

搜集汇总

背景与挑战

背景概述

该数据集整合了25万人群10年的多维度代谢动态监测数据，涵盖糖代谢、血脂谱等指标，适用于代谢综合征研究、慢性病早筛和个性化健康管理方案开发。