Steven Dang,Xianwei Li,Liqun Diao,Vincent Piguet,David Croitoru,Joan Wither,Igor Jurisica,Vinod Chandran,Lihi Eder
{"title":"银屑病关节炎患者血清蛋白质组学特征的性别差异。","authors":"Steven Dang,Xianwei Li,Liqun Diao,Vincent Piguet,David Croitoru,Joan Wither,Igor Jurisica,Vinod Chandran,Lihi Eder","doi":"10.1093/rheumatology/keaf311","DOIUrl":null,"url":null,"abstract":"OBJECTIVES\r\nSex-related differences exist in the clinical presentation and treatment outcomes of patients with psoriatic arthritis (PsA). The biological pathways driving these differences remain unknown. We conducted an untargeted proteomic study to identify sex-specific serum proteins and biological pathways in males and females with PsA.\r\n\r\nMETHODS\r\nWe used an aptamer-based panel to measure 6402 serum proteins in 50 male and 50 female patients with active PsA and 50 age- and sex-matched non-psoriatic controls. Differential expression and pathway enrichment analysis identified differentially expressed proteins (DEPs) and enriched pathways between male and female PsA patients. Machine learning classifiers were used to develop sex-specific multi-biomarker models to distinguish PsA patients from controls. Proteins with the highest predictive performances were highlighted from random forest models.\r\n\r\nRESULTS\r\nThe differential analysis revealed over 20 times more sex-specific DEPs in PsA males vs controls (n = 741) than in PsA females vs controls (n = 31). The enriched pathways among DEPs in PsA males vs PsA females were related to intracellular signalling, vascular function, cytokine signalling, and immune cell functions. All models discriminated PsA from controls for both sexes with an area under the curve of 0.85-0.99. Variable importance analysis identified leukotriene A-4 hydrolase as a significant predictor in PsA females vs controls, whereas interleukin-36 alpha, NEK7, and PIK3CA/PIK3R1 were significant in PsA males vs controls.\r\n\r\nCONCLUSION\r\nSignificantly more dysregulated proteins and biological pathways were found in males than in females with PsA. The identified proteins and pathways offer potential new targets for sex-based research in PsA.","PeriodicalId":21255,"journal":{"name":"Rheumatology","volume":"147 1","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sex differences in serum proteomic profiles in psoriatic arthritis.\",\"authors\":\"Steven Dang,Xianwei Li,Liqun Diao,Vincent Piguet,David Croitoru,Joan Wither,Igor Jurisica,Vinod Chandran,Lihi Eder\",\"doi\":\"10.1093/rheumatology/keaf311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OBJECTIVES\\r\\nSex-related differences exist in the clinical presentation and treatment outcomes of patients with psoriatic arthritis (PsA). The biological pathways driving these differences remain unknown. We conducted an untargeted proteomic study to identify sex-specific serum proteins and biological pathways in males and females with PsA.\\r\\n\\r\\nMETHODS\\r\\nWe used an aptamer-based panel to measure 6402 serum proteins in 50 male and 50 female patients with active PsA and 50 age- and sex-matched non-psoriatic controls. Differential expression and pathway enrichment analysis identified differentially expressed proteins (DEPs) and enriched pathways between male and female PsA patients. Machine learning classifiers were used to develop sex-specific multi-biomarker models to distinguish PsA patients from controls. Proteins with the highest predictive performances were highlighted from random forest models.\\r\\n\\r\\nRESULTS\\r\\nThe differential analysis revealed over 20 times more sex-specific DEPs in PsA males vs controls (n = 741) than in PsA females vs controls (n = 31). The enriched pathways among DEPs in PsA males vs PsA females were related to intracellular signalling, vascular function, cytokine signalling, and immune cell functions. All models discriminated PsA from controls for both sexes with an area under the curve of 0.85-0.99. Variable importance analysis identified leukotriene A-4 hydrolase as a significant predictor in PsA females vs controls, whereas interleukin-36 alpha, NEK7, and PIK3CA/PIK3R1 were significant in PsA males vs controls.\\r\\n\\r\\nCONCLUSION\\r\\nSignificantly more dysregulated proteins and biological pathways were found in males than in females with PsA. The identified proteins and pathways offer potential new targets for sex-based research in PsA.\",\"PeriodicalId\":21255,\"journal\":{\"name\":\"Rheumatology\",\"volume\":\"147 1\",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Rheumatology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/rheumatology/keaf311\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RHEUMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rheumatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/rheumatology/keaf311","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
Sex differences in serum proteomic profiles in psoriatic arthritis.
OBJECTIVES
Sex-related differences exist in the clinical presentation and treatment outcomes of patients with psoriatic arthritis (PsA). The biological pathways driving these differences remain unknown. We conducted an untargeted proteomic study to identify sex-specific serum proteins and biological pathways in males and females with PsA.
METHODS
We used an aptamer-based panel to measure 6402 serum proteins in 50 male and 50 female patients with active PsA and 50 age- and sex-matched non-psoriatic controls. Differential expression and pathway enrichment analysis identified differentially expressed proteins (DEPs) and enriched pathways between male and female PsA patients. Machine learning classifiers were used to develop sex-specific multi-biomarker models to distinguish PsA patients from controls. Proteins with the highest predictive performances were highlighted from random forest models.
RESULTS
The differential analysis revealed over 20 times more sex-specific DEPs in PsA males vs controls (n = 741) than in PsA females vs controls (n = 31). The enriched pathways among DEPs in PsA males vs PsA females were related to intracellular signalling, vascular function, cytokine signalling, and immune cell functions. All models discriminated PsA from controls for both sexes with an area under the curve of 0.85-0.99. Variable importance analysis identified leukotriene A-4 hydrolase as a significant predictor in PsA females vs controls, whereas interleukin-36 alpha, NEK7, and PIK3CA/PIK3R1 were significant in PsA males vs controls.
CONCLUSION
Significantly more dysregulated proteins and biological pathways were found in males than in females with PsA. The identified proteins and pathways offer potential new targets for sex-based research in PsA.
期刊介绍:
Rheumatology strives to support research and discovery by publishing the highest quality original scientific papers with a focus on basic, clinical and translational research. The journal’s subject areas cover a wide range of paediatric and adult rheumatological conditions from an international perspective. It is an official journal of the British Society for Rheumatology, published by Oxford University Press.
Rheumatology publishes original articles, reviews, editorials, guidelines, concise reports, meta-analyses, original case reports, clinical vignettes, letters and matters arising from published material. The journal takes pride in serving the global rheumatology community, with a focus on high societal impact in the form of podcasts, videos and extended social media presence, and utilizing metrics such as Altmetric. Keep up to date by following the journal on Twitter @RheumJnl.