{"title":"银屑病中的MicroRNA生物标志物。","authors":"Shikha Singh, Medha Rajappa","doi":"10.1016/j.cca.2025.120633","DOIUrl":null,"url":null,"abstract":"<p><p>Psoriasis, a T-helper mediated chronic inflammatory autoimmune skin disease, has significant socioeconomic burden worldwide. Unfortunately, etiology and underlying pathophysiology remains unclear. Although several biologics have substantially improved therapy, recurrence is common. The identification of reliable biomarkers for early diagnosis, prognosis, and therapeutic response remain significant challenges. Advances in omic technologies has enabled new approaches in biomarker discovery including microRNAs. These small non-coding RNA molecules that have emerged as promising biomarkers due to their regulatory roles in immune filtration, keratinocyte proliferation, apoptosis and inflammatory pathways in psoriasis. This review unites evidence on the prognostic and diagnostic potential of miRNAs in psoriasis and highlighting their altered expression profiles in psoriatic lesions and circulation. Specific miRNAs, such as miR-21, miR-31, miR-99a, miR-146a, miR-125b, and miR-203, miR-138, miR-155 in pathogenesis are explored as well as their association with disease severity, treatment response, and comorbidities. Furthermore, the integration of miRNA profiling with advanced omics technologies and machine learning provides a framework for developing predictive algorithms. The review consolidates the potential of miRNAs to guide personalized treatment strategies and their utility in monitoring therapeutic efficacy. Future research focusing on standardizing miRNA-based assays, integrating miRNA signatures with other omics approaches to enhance therapeutic outcomes and exploring their mechanistic roles may pave the way for their clinical translation as reliable biomarkers in management of disease.</p>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":" ","pages":"120633"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MicroRNA biomarkers in psoriasis.\",\"authors\":\"Shikha Singh, Medha Rajappa\",\"doi\":\"10.1016/j.cca.2025.120633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Psoriasis, a T-helper mediated chronic inflammatory autoimmune skin disease, has significant socioeconomic burden worldwide. Unfortunately, etiology and underlying pathophysiology remains unclear. Although several biologics have substantially improved therapy, recurrence is common. The identification of reliable biomarkers for early diagnosis, prognosis, and therapeutic response remain significant challenges. Advances in omic technologies has enabled new approaches in biomarker discovery including microRNAs. These small non-coding RNA molecules that have emerged as promising biomarkers due to their regulatory roles in immune filtration, keratinocyte proliferation, apoptosis and inflammatory pathways in psoriasis. This review unites evidence on the prognostic and diagnostic potential of miRNAs in psoriasis and highlighting their altered expression profiles in psoriatic lesions and circulation. Specific miRNAs, such as miR-21, miR-31, miR-99a, miR-146a, miR-125b, and miR-203, miR-138, miR-155 in pathogenesis are explored as well as their association with disease severity, treatment response, and comorbidities. Furthermore, the integration of miRNA profiling with advanced omics technologies and machine learning provides a framework for developing predictive algorithms. The review consolidates the potential of miRNAs to guide personalized treatment strategies and their utility in monitoring therapeutic efficacy. Future research focusing on standardizing miRNA-based assays, integrating miRNA signatures with other omics approaches to enhance therapeutic outcomes and exploring their mechanistic roles may pave the way for their clinical translation as reliable biomarkers in management of disease.</p>\",\"PeriodicalId\":10205,\"journal\":{\"name\":\"Clinica Chimica Acta\",\"volume\":\" \",\"pages\":\"120633\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica Chimica Acta\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cca.2025.120633\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.cca.2025.120633","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
Psoriasis, a T-helper mediated chronic inflammatory autoimmune skin disease, has significant socioeconomic burden worldwide. Unfortunately, etiology and underlying pathophysiology remains unclear. Although several biologics have substantially improved therapy, recurrence is common. The identification of reliable biomarkers for early diagnosis, prognosis, and therapeutic response remain significant challenges. Advances in omic technologies has enabled new approaches in biomarker discovery including microRNAs. These small non-coding RNA molecules that have emerged as promising biomarkers due to their regulatory roles in immune filtration, keratinocyte proliferation, apoptosis and inflammatory pathways in psoriasis. This review unites evidence on the prognostic and diagnostic potential of miRNAs in psoriasis and highlighting their altered expression profiles in psoriatic lesions and circulation. Specific miRNAs, such as miR-21, miR-31, miR-99a, miR-146a, miR-125b, and miR-203, miR-138, miR-155 in pathogenesis are explored as well as their association with disease severity, treatment response, and comorbidities. Furthermore, the integration of miRNA profiling with advanced omics technologies and machine learning provides a framework for developing predictive algorithms. The review consolidates the potential of miRNAs to guide personalized treatment strategies and their utility in monitoring therapeutic efficacy. Future research focusing on standardizing miRNA-based assays, integrating miRNA signatures with other omics approaches to enhance therapeutic outcomes and exploring their mechanistic roles may pave the way for their clinical translation as reliable biomarkers in management of disease.
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.