An-Ping Liu, Tian-Jing Sun, Tong-Ying Liu, Hai-Zhen Duan, Xu-Heng Jiang, Mo Li, Yuan-Ze Luo, Michael P Feloney, Mark Cline, Yuan-Yuan Zhang, An-Yong Yu
{"title":"Urinary exosomes as promising biomarkers for early kidney disease detection.","authors":"An-Ping Liu, Tian-Jing Sun, Tong-Ying Liu, Hai-Zhen Duan, Xu-Heng Jiang, Mo Li, Yuan-Ze Luo, Michael P Feloney, Mark Cline, Yuan-Yuan Zhang, An-Yong Yu","doi":"10.62347/DAKE5842","DOIUrl":null,"url":null,"abstract":"<p><p>Kidney injury and disease pose a significant global health burden. Despite existing diagnostic methods, early detection remains challenging due to the lack of specific molecular markers to identify and stage various kidney lesions. Urinary exosomes, extracellular vesicles secreted by kidney cells, offer a promising solution. These vesicles contain a variety of biomolecules, such as proteins, RNA, and DNA. These biomolecules can reflect the unique physiological and pathological states of the kidney. This review explores the potential of urinary exosomes as biomarkers for a range of kidney diseases, including renal failure, diabetic nephropathy, and renal tumors. By analyzing specific protein alterations within these exosomes, we aim to develop more precise and tailored diagnostic tools to detect kidney diseases at an early stage and improve patient outcomes. While challenges persist in isolating, characterizing, and extracting reliable information from urinary exosomes, overcoming these hurdles is crucial for advancing their clinical application. The successful implementation of urinary exosome-based diagnostics could revolutionize early kidney disease detection, enabling more targeted treatment and improved patient outcomes.</p>","PeriodicalId":7438,"journal":{"name":"American journal of clinical and experimental urology","volume":"13 1","pages":"1-19"},"PeriodicalIF":1.5000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11928825/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of clinical and experimental urology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62347/DAKE5842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Kidney injury and disease pose a significant global health burden. Despite existing diagnostic methods, early detection remains challenging due to the lack of specific molecular markers to identify and stage various kidney lesions. Urinary exosomes, extracellular vesicles secreted by kidney cells, offer a promising solution. These vesicles contain a variety of biomolecules, such as proteins, RNA, and DNA. These biomolecules can reflect the unique physiological and pathological states of the kidney. This review explores the potential of urinary exosomes as biomarkers for a range of kidney diseases, including renal failure, diabetic nephropathy, and renal tumors. By analyzing specific protein alterations within these exosomes, we aim to develop more precise and tailored diagnostic tools to detect kidney diseases at an early stage and improve patient outcomes. While challenges persist in isolating, characterizing, and extracting reliable information from urinary exosomes, overcoming these hurdles is crucial for advancing their clinical application. The successful implementation of urinary exosome-based diagnostics could revolutionize early kidney disease detection, enabling more targeted treatment and improved patient outcomes.