骨关节炎(OA)是中老年人群劳动力丧失和生活质量下降的主要原因之一，涉及巨大的家庭、社会医疗资源投入和生产力消耗，但基于客观监测指标的OA防控策略研究仍处于较低水平。国内目前尚没有将动态对比关节软骨细胞空间结构模式与biomarkers变动趋势用于OA监测的文献，国际上为数不多的文献也是横断面研究，缺乏证据级别更高的前瞻性队列研究资料，是否可以将动态对比软骨细胞空间结构与biomarkers变动趋势作为预测OA病程进展的指标，为OA防控策略研究的多指标评价提供了新的思路。本项目拟选取3种特定人群进行为期4年的前瞻性队列研究，通过空间点格局构建来探索关节软骨细胞聚集模式，建立可兼顾多个影响因素的多层次、多状态个体效应模型，动态对比不同分层条件下关节软骨细胞空间结构模式及biomarkers随协变量影响的变化趋势，评价其在OA防控中的潜在价值，进而为高危人群提供分层（群）预警的个体化防治方案。

Osteoarthritis (OA) is the main cause of loss of work ability and declined quality of life for middle-aged and elderly population, which leads to heavy burden on family and social medical resources and the consumption of productivity. However, the studies focusing on the prevention and control strategy of OA based on monitoring indexes remain at a relatively low level. Recently, OA cartilage aggregation studies related to spatial organisation of joint surface chondrocytes and biomarker detection which objectively reflect the metabolism of OA bone and cartilage have captivated widespread interests from the scholars, which are becoming a novel focus of prevention and control of OA-related diseases. In China, no scholars have attempted to apply dynamic comparison of the spatial organisation of joint surface chondrocytes and the changing tendency of biomarkers to monitor the progression of OA. Few cross-sectional investigations have been conducted abroad. Prospective cohort studies with a higher level of evidence are urgently to be performed, which validate the feasibility of utilizing dynamic comparison of spatial organisation of joint surface chondrocytes and changing tendency of biomarkers as the indexes predicting OA joint injury and progression, and provide novel thinking for multi-index evaluation of OA prevention and control. Based upon previous outcomes of biomarker screening, three specific populations will be selected for this 4-year prospective cohort study. A new analysis dimension is introduced to explore the mode of articular cartilage aggregation by constructing spatial spot network. It is also designed to evaluate the dynamic space and time process of cell proliferation, migration, apoptosis, necrosis and phenotype transition and establish individualized effect model of multiple influencing factors, levels and modes. It aims to perform dynamic comparison of cartilage aggregation mode and the changing tendency of biomarkers along with concomitant variables and the hinting effect upon progress of OA, evaluate their potential value in the prevention and control strategy of OA, thereby providing stratified (group) individualized prevention and treatment for the population with a high risk of OA.