Ali Parvin , Mohammad Mehdi Shadravan , Sonia Sadeghpour , Mortaza Taheri-Anganeh , Hojat Ghasemnejad-Berenji
{"title":"男性不育症的个性化生物标志物","authors":"Ali Parvin , Mohammad Mehdi Shadravan , Sonia Sadeghpour , Mortaza Taheri-Anganeh , Hojat Ghasemnejad-Berenji","doi":"10.1016/j.cca.2025.120623","DOIUrl":null,"url":null,"abstract":"<div><div>Male-related factors account for 30% of infertility cases and contribute an additional 20% when combined with female infertility factors. Consequently, it is crucial to diagnose, predict, and develop innovative strategies to tackle male infertility. The evaluation of male infertility extends beyond medical history and physical examination, with a primary focus on semen analysis (SA) and endocrine assessment. SA assesses various macroscopic semen parameters such as volume, pH, color, and viscosity. Because of the significant variability in these parameters, a range of complementary biomarkers has been introduced over time. The limited effectiveness of traditional biomarkers in identifying the underlying causes of male infertility has driven the search for more accessible, cost-effective, and predictive markers of reproductive outcomes. The emerging field of omics, which includes genomic, proteomic, and metabolomic biomarkers, offers a promising pathway for targeted diagnostics in male infertility. This review aims to highlight the significance of biomarkers in male infertility. Given the limitations of conventional diagnostic techniques, biomarkers provide valuable insights into the underlying causes of male infertility and potential pathways for personalized treatment. The review discusses the definition, prevalence, and etiology of male infertility, followed by an examination of various types of biomarkers, including proteomic, genomic, epigenetic, and metabolomic markers.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"579 ","pages":"Article 120623"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Personalized biomarkers in male infertility\",\"authors\":\"Ali Parvin , Mohammad Mehdi Shadravan , Sonia Sadeghpour , Mortaza Taheri-Anganeh , Hojat Ghasemnejad-Berenji\",\"doi\":\"10.1016/j.cca.2025.120623\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Male-related factors account for 30% of infertility cases and contribute an additional 20% when combined with female infertility factors. Consequently, it is crucial to diagnose, predict, and develop innovative strategies to tackle male infertility. The evaluation of male infertility extends beyond medical history and physical examination, with a primary focus on semen analysis (SA) and endocrine assessment. SA assesses various macroscopic semen parameters such as volume, pH, color, and viscosity. Because of the significant variability in these parameters, a range of complementary biomarkers has been introduced over time. The limited effectiveness of traditional biomarkers in identifying the underlying causes of male infertility has driven the search for more accessible, cost-effective, and predictive markers of reproductive outcomes. The emerging field of omics, which includes genomic, proteomic, and metabolomic biomarkers, offers a promising pathway for targeted diagnostics in male infertility. This review aims to highlight the significance of biomarkers in male infertility. Given the limitations of conventional diagnostic techniques, biomarkers provide valuable insights into the underlying causes of male infertility and potential pathways for personalized treatment. The review discusses the definition, prevalence, and etiology of male infertility, followed by an examination of various types of biomarkers, including proteomic, genomic, epigenetic, and metabolomic markers.</div></div>\",\"PeriodicalId\":10205,\"journal\":{\"name\":\"Clinica Chimica Acta\",\"volume\":\"579 \",\"pages\":\"Article 120623\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica Chimica Acta\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0009898125005029\",\"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://www.sciencedirect.com/science/article/pii/S0009898125005029","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
Male-related factors account for 30% of infertility cases and contribute an additional 20% when combined with female infertility factors. Consequently, it is crucial to diagnose, predict, and develop innovative strategies to tackle male infertility. The evaluation of male infertility extends beyond medical history and physical examination, with a primary focus on semen analysis (SA) and endocrine assessment. SA assesses various macroscopic semen parameters such as volume, pH, color, and viscosity. Because of the significant variability in these parameters, a range of complementary biomarkers has been introduced over time. The limited effectiveness of traditional biomarkers in identifying the underlying causes of male infertility has driven the search for more accessible, cost-effective, and predictive markers of reproductive outcomes. The emerging field of omics, which includes genomic, proteomic, and metabolomic biomarkers, offers a promising pathway for targeted diagnostics in male infertility. This review aims to highlight the significance of biomarkers in male infertility. Given the limitations of conventional diagnostic techniques, biomarkers provide valuable insights into the underlying causes of male infertility and potential pathways for personalized treatment. The review discusses the definition, prevalence, and etiology of male infertility, followed by an examination of various types of biomarkers, including proteomic, genomic, epigenetic, and metabolomic markers.
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.