{"title":"Progress in biomarkers and diagnostic approaches for myocardial infarction.","authors":"Ying Qi, Ming Cai, Yangfei Kang, Jianhua Liu","doi":"10.1016/j.cca.2025.120629","DOIUrl":null,"url":null,"abstract":"<p><p>Myocardial infarction (MI) remains one of the leading cardiovascular diseases that pose a serious threat to human health, characterized by sudden onset and high mortality. Timely and accurate detection of myocardial injury is critical for early diagnosis, therapeutic decision-making, and improving patient outcomes. Traditional biomarkers, such as myoglobin, creatine kinase-MB, and cardiac troponins, as well as emerging biomarkers, including high-sensitivity cardiac troponins, microRNAs, and heart-type fatty acid-binding protein, have demonstrated significant clinical utility in the diagnosis of MI. In addition, advances in biosensor technologies have further expanded the diagnostic toolbox. This review summarizes recent progress in biomarker- and sensor-based approaches for the laboratory diagnosis of MI, aiming to provide insights for clinical practice and patient management.</p>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":" ","pages":"120629"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-24","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.2025.120629","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Myocardial infarction (MI) remains one of the leading cardiovascular diseases that pose a serious threat to human health, characterized by sudden onset and high mortality. Timely and accurate detection of myocardial injury is critical for early diagnosis, therapeutic decision-making, and improving patient outcomes. Traditional biomarkers, such as myoglobin, creatine kinase-MB, and cardiac troponins, as well as emerging biomarkers, including high-sensitivity cardiac troponins, microRNAs, and heart-type fatty acid-binding protein, have demonstrated significant clinical utility in the diagnosis of MI. In addition, advances in biosensor technologies have further expanded the diagnostic toolbox. This review summarizes recent progress in biomarker- and sensor-based approaches for the laboratory diagnosis of MI, aiming to provide insights for clinical practice and patient management.
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.
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