Polypoid choroidal vasculopathy(PCV)is associated with poor visual prognosis in its natural course and is more prevalent in Asian populations. Despite advancements in optical coherence tomography(OCT)and OCT angiography(OCTA)that have significantly improved morphological diagnostic capabilities, imaging biomarkers are limited by temporal resolution constraints and fail to elucidate molecular mechanisms underlying vascular angiogenesis, inflammation, genetic factors, and extracellular matrix(ECM)remodeling. This review synthesizes current research on molecular biomarkers associated with PCV, focusing on its core pathological mechanisms. These biomarkers provide crucial insights into disease pathogenesis to inform precision prevention, dynamic disease monitoring, and therapeutic response prediction. Furthermore, this article proposes the integration of multi-omics data(genomics, proteomics, and radiomics)to establish a multimodal hierarchical diagnostic-therapeutic model. This framework will guide risk stratification, real-time disease assessment, and personalized treatment strategies, advancing the development of a precision medicine framework for PCV management.

国家自然科学基金面上项目(No.82471053); 天津市科技计划项目(No.22JCZDJC00260)