{"title":"强的松对大鼠尿蛋白组和疾病生物标志物的影响","authors":"Jianqiang Wu, Xundou Li, Youhe Gao","doi":"10.15406/MOJPB.2017.06.00191","DOIUrl":null,"url":null,"abstract":"Disease biomarkers are measurable changes associated with specific pathophysiological conditions that can be used to diagnose and monitor diseases, to predict prognoses and to reflect treatment efficiency. As a non-invasively accessible and relatively stable liquid, urine is a promising clinical sample source for biomarker discovery via proteomics approaches [1]. Recently, urinary proteomics has received increasing attention in disease biomarker research.","PeriodicalId":18585,"journal":{"name":"MOJ proteomics & bioinformatics","volume":"12 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of prednisone on urinary proteome and disease biomarkers in a rat model\",\"authors\":\"Jianqiang Wu, Xundou Li, Youhe Gao\",\"doi\":\"10.15406/MOJPB.2017.06.00191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Disease biomarkers are measurable changes associated with specific pathophysiological conditions that can be used to diagnose and monitor diseases, to predict prognoses and to reflect treatment efficiency. As a non-invasively accessible and relatively stable liquid, urine is a promising clinical sample source for biomarker discovery via proteomics approaches [1]. Recently, urinary proteomics has received increasing attention in disease biomarker research.\",\"PeriodicalId\":18585,\"journal\":{\"name\":\"MOJ proteomics & bioinformatics\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MOJ proteomics & bioinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15406/MOJPB.2017.06.00191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MOJ proteomics & bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15406/MOJPB.2017.06.00191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effects of prednisone on urinary proteome and disease biomarkers in a rat model
Disease biomarkers are measurable changes associated with specific pathophysiological conditions that can be used to diagnose and monitor diseases, to predict prognoses and to reflect treatment efficiency. As a non-invasively accessible and relatively stable liquid, urine is a promising clinical sample source for biomarker discovery via proteomics approaches [1]. Recently, urinary proteomics has received increasing attention in disease biomarker research.