{"title":"Biomarkers for effective prognosis of polycystic ovary syndrome: a full review.","authors":"Ishanka Singh, Anuja Pant, Pawan Kumar Maurya","doi":"10.1080/17520363.2026.2622044","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Polycystic ovary syndrome (PCOS) is a complicated endocrine condition marked by reproductive, metabolic and chronobiological perturbations. Despite a number of biomarkers that can be used in its diagnosis, they only show the existence of the syndrome and not much information about prognosis. This prognostic blindness complicates disease management and contributes to increased healthcare and economic burden.</p><p><strong>Areas covered: </strong>The review summarizes the literature on prognostic biomarkers in PCOS, including hormone biomarkers, metabolic biomarkers, circadian regulatory biomarkers, and non-coding RNAs. Clinical, observational, and preclinical findings indicate that these markers reflect early molecular and cellular perturbations, disease progression, and vulnerability to reproductive and metabolic issues.This review primarily focuses ondiagnostic and prognostic biomarkers associated with PCOS, highlighting their relevance in early detection, disease stratification, and risk assessment. Therapeutic biomarkers are discussed only where they offer mechanistic or clinical insight into disease progression.</p><p><strong>Expert opinion: </strong>The combination of endocrine, metabolic, circadian, and RNA-based biomarkers offers a dynamic approach to PCOS prognostication. These biomarkers can improve the early diagnosis of high-risk patients, individual interventions, and reproductive and metabolic management. Future research should focus on validating these markers in large cohorts and developing predictive models to support clinical decision-making beyond static diagnostic criteria.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":"20 1","pages":"69-86"},"PeriodicalIF":2.1000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947562/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17520363.2026.2622044","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/29 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Polycystic ovary syndrome (PCOS) is a complicated endocrine condition marked by reproductive, metabolic and chronobiological perturbations. Despite a number of biomarkers that can be used in its diagnosis, they only show the existence of the syndrome and not much information about prognosis. This prognostic blindness complicates disease management and contributes to increased healthcare and economic burden.
Areas covered: The review summarizes the literature on prognostic biomarkers in PCOS, including hormone biomarkers, metabolic biomarkers, circadian regulatory biomarkers, and non-coding RNAs. Clinical, observational, and preclinical findings indicate that these markers reflect early molecular and cellular perturbations, disease progression, and vulnerability to reproductive and metabolic issues.This review primarily focuses ondiagnostic and prognostic biomarkers associated with PCOS, highlighting their relevance in early detection, disease stratification, and risk assessment. Therapeutic biomarkers are discussed only where they offer mechanistic or clinical insight into disease progression.
Expert opinion: The combination of endocrine, metabolic, circadian, and RNA-based biomarkers offers a dynamic approach to PCOS prognostication. These biomarkers can improve the early diagnosis of high-risk patients, individual interventions, and reproductive and metabolic management. Future research should focus on validating these markers in large cohorts and developing predictive models to support clinical decision-making beyond static diagnostic criteria.
期刊介绍：
Biomarkers are physical, functional or biochemical indicators of physiological or disease processes. These key indicators can provide vital information in determining disease prognosis, in predicting of response to therapies, adverse events and drug interactions, and in establishing baseline risk. The explosion of interest in biomarker research is driving the development of new predictive, diagnostic and prognostic products in modern medical practice, and biomarkers are also playing an increasingly important role in the discovery and development of new drugs. For the full utility of biomarkers to be realized, we require greater understanding of disease mechanisms, and the interplay between disease mechanisms, therapeutic interventions and the proposed biomarkers. However, in attempting to evaluate the pros and cons of biomarkers systematically, we are moving into new, challenging territory.
Biomarkers in Medicine (ISSN 1752-0363) is a peer-reviewed, rapid publication journal delivering commentary and analysis on the advances in our understanding of biomarkers and their potential and actual applications in medicine. The journal facilitates translation of our research knowledge into the clinic to increase the effectiveness of medical practice.
As the scientific rationale and regulatory acceptance for biomarkers in medicine and in drug development become more fully established, Biomarkers in Medicine provides the platform for all players in this increasingly vital area to communicate and debate all issues relating to the potential utility and applications.
Each issue includes a diversity of content to provide rounded coverage for the research professional. Articles include Guest Editorials, Interviews, Reviews, Research Articles, Perspectives, Priority Paper Evaluations, Special Reports, Case Reports, Conference Reports and Company Profiles. Review coverage is divided into themed sections according to area of therapeutic utility with some issues including themed sections on an area of topical interest.
Biomarkers in Medicine provides a platform for commentary and debate for all professionals with an interest in the identification of biomarkers, elucidation of their role and formalization and approval of their application in modern medicine. The audience for Biomarkers in Medicine includes academic and industrial researchers, clinicians, pathologists, clinical chemists and regulatory professionals.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
