Maria-Angeliki Gkini,Wilson Liao,Kurt de Vlam,Vinod Chandran,Signe Holm Nielsen
{"title":"C1M和C4M作为银屑病和其他炎性关节病诊断、预后和症状预测的可溶性生物标志物的发现和临床验证","authors":"Maria-Angeliki Gkini,Wilson Liao,Kurt de Vlam,Vinod Chandran,Signe Holm Nielsen","doi":"10.3899/jrheum.2025-0671","DOIUrl":null,"url":null,"abstract":"Psoriatic disease (PsD) is a complex, heterogeneous disease with unmet medical needs in terms of its diagnosis, management, and prognosis. The identification of biomarkers could improve the implementation of precision medicine in PsD, but to date, none of these biomarkers have been clinically validated. Biomarkers can support clinical trials in several ways, including (1) diagnostics, (2) drug pharmacodynamics, (3) prognostics for patient selection and monitoring of drug efficacy, and (4) predictive models for clinical outcomes. Biomarkers can sometimes be used for both diagnosis and prognosis. Benefits of biomarkers use may include shorter duration of clinical trials, faster access to new treatments, and a personalized approach to disease management. Several potential biomarkers have recently demonstrated promise for use in PsD, including C1M, a serum biomarker reflecting collagen type I collagen degradation, and C4M, a type IV collagen metabolite, but clinical validation has not yet been completed. Here, and as presented at the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis 2024 annual meeting, we summarize the status of biomarker discovery for PsD and their overlap with other musculoskeletal diseases such as rheumatoid arthritis and axial spondyloarthritis.","PeriodicalId":501812,"journal":{"name":"The Journal of Rheumatology","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Discovery and Clinical Validation of C1M and C4M as Soluble Biomarkers for Diagnosis, Prognosis, and Symptom Prediction in Psoriatic Disease and Other Inflammatory Arthropathies.\",\"authors\":\"Maria-Angeliki Gkini,Wilson Liao,Kurt de Vlam,Vinod Chandran,Signe Holm Nielsen\",\"doi\":\"10.3899/jrheum.2025-0671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Psoriatic disease (PsD) is a complex, heterogeneous disease with unmet medical needs in terms of its diagnosis, management, and prognosis. The identification of biomarkers could improve the implementation of precision medicine in PsD, but to date, none of these biomarkers have been clinically validated. Biomarkers can support clinical trials in several ways, including (1) diagnostics, (2) drug pharmacodynamics, (3) prognostics for patient selection and monitoring of drug efficacy, and (4) predictive models for clinical outcomes. Biomarkers can sometimes be used for both diagnosis and prognosis. Benefits of biomarkers use may include shorter duration of clinical trials, faster access to new treatments, and a personalized approach to disease management. Several potential biomarkers have recently demonstrated promise for use in PsD, including C1M, a serum biomarker reflecting collagen type I collagen degradation, and C4M, a type IV collagen metabolite, but clinical validation has not yet been completed. Here, and as presented at the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis 2024 annual meeting, we summarize the status of biomarker discovery for PsD and their overlap with other musculoskeletal diseases such as rheumatoid arthritis and axial spondyloarthritis.\",\"PeriodicalId\":501812,\"journal\":{\"name\":\"The Journal of Rheumatology\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Rheumatology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3899/jrheum.2025-0671\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Rheumatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3899/jrheum.2025-0671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Discovery and Clinical Validation of C1M and C4M as Soluble Biomarkers for Diagnosis, Prognosis, and Symptom Prediction in Psoriatic Disease and Other Inflammatory Arthropathies.
Psoriatic disease (PsD) is a complex, heterogeneous disease with unmet medical needs in terms of its diagnosis, management, and prognosis. The identification of biomarkers could improve the implementation of precision medicine in PsD, but to date, none of these biomarkers have been clinically validated. Biomarkers can support clinical trials in several ways, including (1) diagnostics, (2) drug pharmacodynamics, (3) prognostics for patient selection and monitoring of drug efficacy, and (4) predictive models for clinical outcomes. Biomarkers can sometimes be used for both diagnosis and prognosis. Benefits of biomarkers use may include shorter duration of clinical trials, faster access to new treatments, and a personalized approach to disease management. Several potential biomarkers have recently demonstrated promise for use in PsD, including C1M, a serum biomarker reflecting collagen type I collagen degradation, and C4M, a type IV collagen metabolite, but clinical validation has not yet been completed. Here, and as presented at the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis 2024 annual meeting, we summarize the status of biomarker discovery for PsD and their overlap with other musculoskeletal diseases such as rheumatoid arthritis and axial spondyloarthritis.