空间组学应用于肺纤维化机制解析和治疗研究进展OA
Spatial omics in pulmonary fibrosis:advancing mechanistic insights and therapeutic strategies
肺纤维化作为一类以肺间质慢性炎症、纤维结缔组织异常增生为核心病理特征的慢性间质性疾病,特发性肺纤维化是其中最具代表性的类型.空间组学通过整合空间代谢组学、空间转录组学、空间蛋白质组学,能有效保留生物空间信息,并实现对基因、蛋白质及代谢物的高通量检测和可视化分析.空间代谢组学推动肺纤维化代谢可视化和智能注释鉴定,空间转录组学解析肺纤维化区域异质性并重构早期机制认知,空间蛋白质组学阐释肺纤维化蛋白质互作网络及耐药新靶点.空间组学为肺纤维化的机制解析、精准诊疗及药物研发提供了全新视角.本文综述了近年来空间组学在肺纤维化研究中的应用进展,以期为肺纤维化的治疗提供更精准有效的技术支撑.
Pulmonary fibrosis,a group of chronic interstitial lung diseases charac-terized by persistent inflammation and aberrant deposition of fibrous connective tissue,poses a significant therapeutic challenge,with idiopathic pulmonary fibrosis(IPF)being its most representative and severe form.Spatially resolved omics technologies—encompassing spatial metabolomics,transcriptomics,and proteomics—have emerged as transformative tools that preserve the architectural context of tissues while enabling high-throughput,visualization-capable analysis of metabolites,genes,and proteins.Spatial metabolomics facilitates the visualization and intelligent annotation of metabolic landscapes;spatial transcriptomics deciphers regional heterogeneity and refines the molecular timeline of early disease events;and spatial proteomics elucidates protein interaction networks and uncovers novel drug-resistance mechanisms.Collectively,spatial omics provides unprece-dented insights into disease pathogenesis,offering a powerful framework for advancing precision diagnosis,identifying therapeutic targets,and guiding drug development.This article synthesizes recent progress in applying spatial omics to pulmonary fibrosis research,underscoring its potential to translate into more effective clinical strategies.
彭云鹏;谢云云;杨帆;乔欣;田燕歌
河南中医药大学呼吸疾病中医药防治省部共建协同创新中心,河南 郑州 450003河南中医药大学呼吸疾病中医药防治省部共建协同创新中心,河南 郑州 450003河南中医药大学呼吸疾病中医药防治省部共建协同创新中心,河南 郑州 450003河南中医药大学呼吸疾病中医药防治省部共建协同创新中心,河南 郑州 450003河南中医药大学呼吸疾病中医药防治省部共建协同创新中心,河南 郑州 450003
医药卫生
肺纤维化空间代谢组学空间转录组学空间蛋白质组学质谱成像综述
Pulmonary fibrosisSpatial metabolomicsSpatial transcriptomicsSpatial proteomicsMass spectrometry imagingReview
《浙江大学学报(医学版)》 2026 (2)
154-162,9
国家科技重大专项(2024ZD0522905)河南省科技发展计划(232301420020)This study was supported by National Science and Technology Major Project of China (2024ZD0522905) and Henan Provincial Science and Technology Development Plan (232301420020).
评论