[关键词]
[摘要]
干眼(DED)是一种多因素疾病，其发病机制尚不清楚。组学技术的进步提供了一种新的医学研究方法，组学技术可用于通过单因素视角识别全局响应变量。然而，多组学方法结合了多个组学数据，可以分析所有可能的反应变量，生成多维度和多证据支持的整体推断，以确定疾病过程中眼内细胞的功能丧失和生物分子过程，有助于揭示生物分子与复杂疾病之间的相关性。文章总结了多组学技术在阐明干眼发病机制和复杂分子机制方面的应用，整合了包括基因组学、转录组学、蛋白质组学、代谢组学和微生物组学中的特有表征，以进一步加深我们对干眼发病机制和复杂分子机制的理解。
[Key word]
[Abstract]
Dry eye disease(DED)is a multifactorial disorder with an unclear pathogenesis. Advances in omics technologies have introduced a novel medical research approach, enabling the identification of global response variables from a single-factor perspective. However, multi-omics methods integrate multiple omics datasets to analyze all potential response variables, generating multidimensional and evidence-supported holistic inferences. These insights help elucidate functional impairments of ocular cells and biomolecular processes during disease progression, thereby revealing correlations between biomolecules and complex diseases. This review summarizes the application of multi-omics technologies in clarifying the pathogenesis and intricate molecular mechanisms of dry eye disease. Distinctive features from genomics, transcriptomics, proteomics, metabolomics, and microbiomics are integrated to deepen the understanding of the pathogenesis and complex molecular mechanisms underlying dry eye disease.
[中图分类号]
[基金项目]
国家自然科学基金项目(No.82160195)
