{"title":"皮肤和指甲的绿色自发荧光是评估急性缺血性中风发病风险的新型生物标志物。","authors":"Yue Tao, Haibo Yu, Mingchao Zhang, Xiaofeng Zou, Peilu Li, Jian-Ge Qiu, Bing-Hua Jiang, Weihai Ying","doi":"10.1002/jbio.202300473","DOIUrl":null,"url":null,"abstract":"<p>The only existing approach for assessing the risk of developing acute ischemic stroke (AIS) necessitates that individuals possess a strong understanding of their health status. Our research gathered compelling evidence in favor of our hypothesis, suggesting that the likelihood of developing AIS can be assessed by analyzing the green autofluorescence (AF) of the skin and fingernails. Utilizing machine learning-based analyses of AF images, we found that the area under the curve (AUC) for distinguishing subjects with three risk factors from those with zero, one, or two risk factors was 0.79, 0.76, and 0.75, respectively. Our research has revealed that green AF serves as an innovative biomarker for assessing the risk of developing AIS. Our method is objective, non-invasive, efficient, and economic, which shows great promise to boost a technology for screening natural populations for risk of developing AIS.</p>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Green autofluorescence of the skin and fingernails is a novel biomarker for evaluating the risk for developing acute ischemic stroke\",\"authors\":\"Yue Tao, Haibo Yu, Mingchao Zhang, Xiaofeng Zou, Peilu Li, Jian-Ge Qiu, Bing-Hua Jiang, Weihai Ying\",\"doi\":\"10.1002/jbio.202300473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The only existing approach for assessing the risk of developing acute ischemic stroke (AIS) necessitates that individuals possess a strong understanding of their health status. Our research gathered compelling evidence in favor of our hypothesis, suggesting that the likelihood of developing AIS can be assessed by analyzing the green autofluorescence (AF) of the skin and fingernails. Utilizing machine learning-based analyses of AF images, we found that the area under the curve (AUC) for distinguishing subjects with three risk factors from those with zero, one, or two risk factors was 0.79, 0.76, and 0.75, respectively. Our research has revealed that green AF serves as an innovative biomarker for assessing the risk of developing AIS. Our method is objective, non-invasive, efficient, and economic, which shows great promise to boost a technology for screening natural populations for risk of developing AIS.</p>\",\"PeriodicalId\":184,\"journal\":{\"name\":\"Journal of Biophotonics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Biophotonics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jbio.202300473\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biophotonics","FirstCategoryId":"101","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jbio.202300473","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
摘要
现有的唯一一种评估急性缺血性中风(AIS)发病风险的方法要求个人对自己的健康状况有充分的了解。我们的研究收集了支持我们假设的有力证据,表明可以通过分析皮肤和指甲的绿色自动荧光(AF)来评估罹患急性缺血性中风的可能性。通过对 AF 图像进行基于机器学习的分析,我们发现将具有三个风险因素的受试者与具有零、一个或两个风险因素的受试者区分开来的曲线下面积(AUC)分别为 0.79、0.76 和 0.75。我们的研究表明,绿色心房颤动可作为评估罹患 AIS 风险的创新生物标志物。我们的方法客观、无创、高效、经济,有望推动自然人群罹患 AIS 风险筛查技术的发展。
Green autofluorescence of the skin and fingernails is a novel biomarker for evaluating the risk for developing acute ischemic stroke
The only existing approach for assessing the risk of developing acute ischemic stroke (AIS) necessitates that individuals possess a strong understanding of their health status. Our research gathered compelling evidence in favor of our hypothesis, suggesting that the likelihood of developing AIS can be assessed by analyzing the green autofluorescence (AF) of the skin and fingernails. Utilizing machine learning-based analyses of AF images, we found that the area under the curve (AUC) for distinguishing subjects with three risk factors from those with zero, one, or two risk factors was 0.79, 0.76, and 0.75, respectively. Our research has revealed that green AF serves as an innovative biomarker for assessing the risk of developing AIS. Our method is objective, non-invasive, efficient, and economic, which shows great promise to boost a technology for screening natural populations for risk of developing AIS.
期刊介绍:
The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.