S. Kademani, Prabhudas Nelaturi, Sathya Sagar Kalidas, V. B. Ballambattu, Ravikumar Sambandam
{"title":"Mass Spectrometric Identification of Urinary Biomarkers of Chronic Kidney Disease: A Proteomic-related Preliminary Report","authors":"S. Kademani, Prabhudas Nelaturi, Sathya Sagar Kalidas, V. B. Ballambattu, Ravikumar Sambandam","doi":"10.25259/ijn_255_23","DOIUrl":null,"url":null,"abstract":"\n\nChronic kidney disease (CKD) is a gradual loss of kidney function and has an increased prevalence rate worldwide. Our study was intended to identify potential biomarkers of progression using urine proteomics.\n\n\n\nThis preliminary study consisted of 32 patients with stage V CKD. Urine samples were subjected to liquid chromatography–mass spectrometry (LCMS), and the network of protein interaction was analyzed using STRING.\n\n\n\nA total of 135 proteins were identified, of which 35 were listed as candidates based on their clinical significance. Protein– protein interaction study provides novel insights into the functional constitution of the proteome, selecting urine as a source of biomarkers.\n\n\n\nThe present study observed that the potential markers such as EndoG, HPX, APN, AnxA1, Mic60, LONP1, and HYOU1 correlate with renal damage and its progression to CKD stage V.\n","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25259/ijn_255_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Chronic kidney disease (CKD) is a gradual loss of kidney function and has an increased prevalence rate worldwide. Our study was intended to identify potential biomarkers of progression using urine proteomics.
This preliminary study consisted of 32 patients with stage V CKD. Urine samples were subjected to liquid chromatography–mass spectrometry (LCMS), and the network of protein interaction was analyzed using STRING.
A total of 135 proteins were identified, of which 35 were listed as candidates based on their clinical significance. Protein– protein interaction study provides novel insights into the functional constitution of the proteome, selecting urine as a source of biomarkers.
The present study observed that the potential markers such as EndoG, HPX, APN, AnxA1, Mic60, LONP1, and HYOU1 correlate with renal damage and its progression to CKD stage V.
分享
京公网安备 11010802042870号
京ICP备2023020795号-1
求助内容：
应助结果提醒方式：
扫码关注我们
