A semiautomatic analyzer for urinary protein assay and a software program for classifying renal injury using cellulose acetate electrophoresis

R. Kubota, M. Ishii, M. Kameko, H. Kitamura, M. Sakatsume, Kenji Sato, K. Shiba
{"title":"A semiautomatic analyzer for urinary protein assay and a software program for classifying renal injury using cellulose acetate electrophoresis","authors":"R. Kubota, M. Ishii, M. Kameko, H. Kitamura, M. Sakatsume, Kenji Sato, K. Shiba","doi":"10.2198/JELECTROPH.54.13","DOIUrl":null,"url":null,"abstract":"The purpose of this study was to develop and evaluate a semiautomatic analyzer for total urinary protein assay and to develop a software program for identifying the affected part of the kidney by using data obtained by cellulose acetate electrophoresis (CAE) with silver staining. The limit of detection of this semiautomatic analyzer was 2.5 mg/L, and the assay precision was good, with a coefficient of variation (CV) less than 10%. Moreover, there was a good correlation between the results obtained by using this semiautomatic analyzer and the manual method. The urinary protein fractions of patients who were diagnosed with renal disease on the basis of renal biopsy were analyzed by performing CAE with silver staining. The relative mobility (RM) of several bands in the β fraction was calculated. The algorithm of the method used for calculating RM was programmed, and the RM ranges detected in several major protein bands were incorporated in the programmed software to classify the types of renal disorders. The programmed software could be used to classify the types of nephropathy in the case of diabetic patients with albumin concentrations of 30 mg/gCre or less. This semiautomatic analyzer can help detect nephropathy in early stages, and the urinary protein fraction analysis software can help determine the type of renal disorder in diabetic patients before microalbuminuria is detected, thus facilitating early treatment.","PeriodicalId":15059,"journal":{"name":"Journal of capillary electrophoresis","volume":"37 1","pages":"13-18"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of capillary electrophoresis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2198/JELECTROPH.54.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The purpose of this study was to develop and evaluate a semiautomatic analyzer for total urinary protein assay and to develop a software program for identifying the affected part of the kidney by using data obtained by cellulose acetate electrophoresis (CAE) with silver staining. The limit of detection of this semiautomatic analyzer was 2.5 mg/L, and the assay precision was good, with a coefficient of variation (CV) less than 10%. Moreover, there was a good correlation between the results obtained by using this semiautomatic analyzer and the manual method. The urinary protein fractions of patients who were diagnosed with renal disease on the basis of renal biopsy were analyzed by performing CAE with silver staining. The relative mobility (RM) of several bands in the β fraction was calculated. The algorithm of the method used for calculating RM was programmed, and the RM ranges detected in several major protein bands were incorporated in the programmed software to classify the types of renal disorders. The programmed software could be used to classify the types of nephropathy in the case of diabetic patients with albumin concentrations of 30 mg/gCre or less. This semiautomatic analyzer can help detect nephropathy in early stages, and the urinary protein fraction analysis software can help determine the type of renal disorder in diabetic patients before microalbuminuria is detected, thus facilitating early treatment.
一种半自动尿蛋白分析仪和一种醋酸纤维素电泳肾损伤分类软件程序
本研究的目的是开发和评估用于总尿蛋白测定的半自动分析仪,并开发一个软件程序,通过使用醋酸纤维素电泳(CAE)银染色获得的数据来识别肾脏的受影响部分。该半自动分析仪的检出限为2.5 mg/L,检测精度好,变异系数(CV)小于10%。此外,该半自动分析仪的测定结果与手工方法具有较好的相关性。对经肾活检诊断为肾脏疾病的患者行CAE银染色分析尿蛋白组分。计算了β组分中各波段的相对迁移率(RM)。对计算RM方法的算法进行编程,并将几个主要蛋白带检测到的RM范围纳入编程软件中,对肾脏疾病的类型进行分类。该软件可用于对白蛋白浓度≤30mg / gre的糖尿病患者的肾病类型进行分类。该半自动分析仪可以在早期发现肾病,尿蛋白组分分析软件可以在检测到微量白蛋白尿之前确定糖尿病患者肾脏疾病的类型,从而促进早期治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信