Lin Zhu, Xin Diao, Chenrui Yuan, Chun Man Lawrence Lau, Jianing Wang, Wenlong Wu, Ali Mobasheri, Xavier Houard, Chunyi Wen, Zongwei Cai
{"title":"综合空间分辨蛋白质组学和代谢组学成像揭示滑膜炎内型与骨关节炎进展有关。","authors":"Lin Zhu, Xin Diao, Chenrui Yuan, Chun Man Lawrence Lau, Jianing Wang, Wenlong Wu, Ali Mobasheri, Xavier Houard, Chunyi Wen, Zongwei Cai","doi":"10.7150/thno.117788","DOIUrl":null,"url":null,"abstract":"<p><p><b>Rationale</b>: Synovial fibrosis, driven by myofibroblast activation and extracellular matrix remodelling, is fundamental in osteoarthritis (OA) pathogenesis but remains poorly understood due to the spatial heterogeneity of synovial inflammation (synovitis). Accurate molecular endotyping of synovial inflammation is essential for effective treatment of OA given its multifactorial nature, yet it requires integrating multiple layers of information with spatial context due to the significant heterogeneity of the tissue. <b>Methods:</b> In this proof-of-concept study, we leveraged MALDI mass spectrometry imaging to achieve spatial metabolomic maps that complement high-content proteomic profiles. Microflow liquid chromatography was employed to improve the robustness and throughput of spatial proteomics. By coupling these spatially resolved datasets, we establish a pseudo time trajectory of heterogeneous synovitis in human knee OA using an integrative framework of spatially resolved proteomics and matrix-assisted laser desorption/ionization mass spectrometry imaging. <b>Results</b>: Clustering 3534 proteins and 79 energy metabolites from spatial proteomic and metabolomic image datasets reveals four distinct functional stages of OA synovitis, i.e., quiescent, microvasculopathic, pre-fibrotic, and post-fibrotic stages, which enables construction of a corresponding pseudo time. Network analyses elucidate the functional links among these stages, highlighting an immune-metabolic axis from endothelial injury and microvascular thrombosis toward myofibroblast activation. <b>Conclusions:</b> This integrative multi-omics imaging approach informs the inflammatory endotype of OA, supporting a vascular aetiology of synovial fibrosis and offering mechanistic insights that could inform more targeted therapeutic strategies. Validation in larger, stratified patient cohorts will be critical to refine our findings and accelerate their clinical usages.</p>","PeriodicalId":22932,"journal":{"name":"Theranostics","volume":"15 18","pages":"9729-9741"},"PeriodicalIF":13.3000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486396/pdf/","citationCount":"0","resultStr":"{\"title\":\"Integrative spatially resolved proteomic and metabolomic imaging reveals synovitis endotypes implicated in osteoarthritis progression.\",\"authors\":\"Lin Zhu, Xin Diao, Chenrui Yuan, Chun Man Lawrence Lau, Jianing Wang, Wenlong Wu, Ali Mobasheri, Xavier Houard, Chunyi Wen, Zongwei Cai\",\"doi\":\"10.7150/thno.117788\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Rationale</b>: Synovial fibrosis, driven by myofibroblast activation and extracellular matrix remodelling, is fundamental in osteoarthritis (OA) pathogenesis but remains poorly understood due to the spatial heterogeneity of synovial inflammation (synovitis). Accurate molecular endotyping of synovial inflammation is essential for effective treatment of OA given its multifactorial nature, yet it requires integrating multiple layers of information with spatial context due to the significant heterogeneity of the tissue. <b>Methods:</b> In this proof-of-concept study, we leveraged MALDI mass spectrometry imaging to achieve spatial metabolomic maps that complement high-content proteomic profiles. Microflow liquid chromatography was employed to improve the robustness and throughput of spatial proteomics. By coupling these spatially resolved datasets, we establish a pseudo time trajectory of heterogeneous synovitis in human knee OA using an integrative framework of spatially resolved proteomics and matrix-assisted laser desorption/ionization mass spectrometry imaging. <b>Results</b>: Clustering 3534 proteins and 79 energy metabolites from spatial proteomic and metabolomic image datasets reveals four distinct functional stages of OA synovitis, i.e., quiescent, microvasculopathic, pre-fibrotic, and post-fibrotic stages, which enables construction of a corresponding pseudo time. Network analyses elucidate the functional links among these stages, highlighting an immune-metabolic axis from endothelial injury and microvascular thrombosis toward myofibroblast activation. <b>Conclusions:</b> This integrative multi-omics imaging approach informs the inflammatory endotype of OA, supporting a vascular aetiology of synovial fibrosis and offering mechanistic insights that could inform more targeted therapeutic strategies. Validation in larger, stratified patient cohorts will be critical to refine our findings and accelerate their clinical usages.</p>\",\"PeriodicalId\":22932,\"journal\":{\"name\":\"Theranostics\",\"volume\":\"15 18\",\"pages\":\"9729-9741\"},\"PeriodicalIF\":13.3000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486396/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Theranostics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.7150/thno.117788\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theranostics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.7150/thno.117788","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Integrative spatially resolved proteomic and metabolomic imaging reveals synovitis endotypes implicated in osteoarthritis progression.
Rationale: Synovial fibrosis, driven by myofibroblast activation and extracellular matrix remodelling, is fundamental in osteoarthritis (OA) pathogenesis but remains poorly understood due to the spatial heterogeneity of synovial inflammation (synovitis). Accurate molecular endotyping of synovial inflammation is essential for effective treatment of OA given its multifactorial nature, yet it requires integrating multiple layers of information with spatial context due to the significant heterogeneity of the tissue. Methods: In this proof-of-concept study, we leveraged MALDI mass spectrometry imaging to achieve spatial metabolomic maps that complement high-content proteomic profiles. Microflow liquid chromatography was employed to improve the robustness and throughput of spatial proteomics. By coupling these spatially resolved datasets, we establish a pseudo time trajectory of heterogeneous synovitis in human knee OA using an integrative framework of spatially resolved proteomics and matrix-assisted laser desorption/ionization mass spectrometry imaging. Results: Clustering 3534 proteins and 79 energy metabolites from spatial proteomic and metabolomic image datasets reveals four distinct functional stages of OA synovitis, i.e., quiescent, microvasculopathic, pre-fibrotic, and post-fibrotic stages, which enables construction of a corresponding pseudo time. Network analyses elucidate the functional links among these stages, highlighting an immune-metabolic axis from endothelial injury and microvascular thrombosis toward myofibroblast activation. Conclusions: This integrative multi-omics imaging approach informs the inflammatory endotype of OA, supporting a vascular aetiology of synovial fibrosis and offering mechanistic insights that could inform more targeted therapeutic strategies. Validation in larger, stratified patient cohorts will be critical to refine our findings and accelerate their clinical usages.
期刊介绍:
Theranostics serves as a pivotal platform for the exchange of clinical and scientific insights within the diagnostic and therapeutic molecular and nanomedicine community, along with allied professions engaged in integrating molecular imaging and therapy. As a multidisciplinary journal, Theranostics showcases innovative research articles spanning fields such as in vitro diagnostics and prognostics, in vivo molecular imaging, molecular therapeutics, image-guided therapy, biosensor technology, nanobiosensors, bioelectronics, system biology, translational medicine, point-of-care applications, and personalized medicine. Encouraging a broad spectrum of biomedical research with potential theranostic applications, the journal rigorously peer-reviews primary research, alongside publishing reviews, news, and commentary that aim to bridge the gap between the laboratory, clinic, and biotechnology industries.