{"title":"Fingernail analysis in diagnosis and management of diabetes mellitus","authors":"Jiani Fan , Jiabao Cai , Shengguang Chen","doi":"10.1016/j.cca.2025.120490","DOIUrl":null,"url":null,"abstract":"<div><div>This systematic review elucidates the role of fingernail analysis in the diagnosis and management of diabetes mellitus (DM) and its complications. It combines multidisciplinary insights to highlight the potential of non-invasive diabetes assessment, long-term glucose monitoring, and early detection of complications. Covers a wide range of techniques, including spectroscopy and imaging methods such as near-infrared spectroscopy (NIR), Raman spectroscopy (RS), laser-induced breakdown spectroscopy (LIBS), Fourier transform infrared spectroscopy (FTIR), X-ray fluorescence spectroscopy (XRF), as well as microscopy and elemental analysis techniques such as dermoscopy, nail fold video capillaroscopy (NVC), inductively coupled plasma mass spectrometry (ICP-MS), and liquid chromatography-tandem mass spectrometry (LC-MS/MS), Nail biochemical analysis and Doppler ultrasound imaging were also included. Special emphasis is placed on glycemic biomarkers such as N-acetyl-DL-leucine enantiomers, carboxymethyl lysine (CML), and advanced glycation end-products (AGEs), which demonstrate robust diagnostic utility. Meta-analytical data indicate that these multimodal approaches yield Area Under the Curve (AUC) values of 0.78 e (CML), and advanced glycation end-products (AGEs), which demonstrate robust diagnostic utility. Meta-analytical data indicate that these multimodal approaches yield Area Under the Curve (AUC) values of from 0.78 to 0.88, underscoring their clinical potential for high sensitivity and specificity discrimination between diabetic and healthy populations Notwithstanding, challenges persist, including instrumentation costs, environmental interferences, and operator expertise requirements. Future directions prioritize elucidating the molecular mechanisms underlying nail-diabetes associations, innovating minimally invasive analytical platforms, and conducting multicenter validation trials to bridge the translational gap.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"578 ","pages":"Article 120490"},"PeriodicalIF":2.9000,"publicationDate":"2025-07-16","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/S0009898125003699","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
This systematic review elucidates the role of fingernail analysis in the diagnosis and management of diabetes mellitus (DM) and its complications. It combines multidisciplinary insights to highlight the potential of non-invasive diabetes assessment, long-term glucose monitoring, and early detection of complications. Covers a wide range of techniques, including spectroscopy and imaging methods such as near-infrared spectroscopy (NIR), Raman spectroscopy (RS), laser-induced breakdown spectroscopy (LIBS), Fourier transform infrared spectroscopy (FTIR), X-ray fluorescence spectroscopy (XRF), as well as microscopy and elemental analysis techniques such as dermoscopy, nail fold video capillaroscopy (NVC), inductively coupled plasma mass spectrometry (ICP-MS), and liquid chromatography-tandem mass spectrometry (LC-MS/MS), Nail biochemical analysis and Doppler ultrasound imaging were also included. Special emphasis is placed on glycemic biomarkers such as N-acetyl-DL-leucine enantiomers, carboxymethyl lysine (CML), and advanced glycation end-products (AGEs), which demonstrate robust diagnostic utility. Meta-analytical data indicate that these multimodal approaches yield Area Under the Curve (AUC) values of 0.78 e (CML), and advanced glycation end-products (AGEs), which demonstrate robust diagnostic utility. Meta-analytical data indicate that these multimodal approaches yield Area Under the Curve (AUC) values of from 0.78 to 0.88, underscoring their clinical potential for high sensitivity and specificity discrimination between diabetic and healthy populations Notwithstanding, challenges persist, including instrumentation costs, environmental interferences, and operator expertise requirements. Future directions prioritize elucidating the molecular mechanisms underlying nail-diabetes associations, innovating minimally invasive analytical platforms, and conducting multicenter validation trials to bridge the translational gap.
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.