title: An extensive targeted proteomic analysis of disease-related protein biomarkers in urine from healthy donors.
abstract: The analysis of protein biomarkers in urine is expected to lead to advances in a variety of clinical settings. Several characteristics of urine including a low-protein matrix, ease of testing and a demonstrated proteomic stability offer distinct advantages over current widely used biofluids, serum and plasma. Improvements in our understanding of the urine proteome and in methods used in its evaluation will facilitate the clinical development of urinary protein biomarkers. Multiplexed bead-based immunoassays were utilized to evaluate 211 proteins in urines from 103 healthy donors. An additional 25 healthy donors provided serial urine samples over the course of two days in order to assess temporal variation in selected biomarkers. Nearly one-third of the evaluated biomarkers were detected in urine at levels greater than 1 ng/ml, representing a diverse panel of proteins with respect to structure, function and biological role. The presence of several biomarkers in urine was confirmed by western blot. Several methods of data normalization were employed to assess impact on biomarker variability. A complex pattern of correlations with urine creatinine, albumin and beta-2-microglobulin was observed indicating the presence of highly specific mechanisms of renal filtration. Further investigation of the urinary protein biomarkers identified in this preliminary study along with a consideration of the underlying proteomic trends suggested by these findings should lead to an improved capability to identify candidate biomarkers for clinical development.
authors.affiliation: University of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, Pennsylvania, United States of America.
authors.forename: Brian M
authors.initials: BM
authors.lastname: Nolen
authors.forename: Lidiya S
authors.initials: LS
authors.lastname: Orlichenko
authors.forename: Adele
authors.initials: A
authors.lastname: Marrangoni
authors.forename: Liudmila
authors.initials: L
authors.lastname: Velikokhatnaya
authors.forename: Denise
authors.initials: D
authors.lastname: Prosser
authors.forename: William E
authors.initials: WE
authors.lastname: Grizzle
authors.forename: Kevin
authors.initials: K
authors.lastname: Ho
authors.forename: Frank J
authors.initials: FJ
authors.lastname: Jenkins
authors.forename: Dana H
authors.initials: DH
authors.lastname: Bovbjerg
authors.forename: Anna E
authors.initials: AE
authors.lastname: Lokshin
mesh_terms: D000328:Adult; D000368:Aged; D000419:Albuminuria / Q000378:metabolism; D015415:Biomarkers / Q000652:urine*; D015153:Blotting, Western; D018394:CA-125 Antigen / Q000652:urine; D003404:Creatinine / Q000652:urine; D004194:Disease; D005260:Female; D006262:Health; D006801:Humans; D008297:Male; D008875:Middle Aged; D053495:Osteopontin / Q000652:urine; D011228:Prealbumin / Q000652:urine; D011506:Proteins / Q000378:metabolism; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics / Q000379:methods* / Q000592:standards; D012015:Reference Standards; D013997:Time Factors; D000081102:WAP Four-Disulfide Core Domain Protein 2; D001613:beta 2-Microglobulin / Q000652:urine
chemical_list: D015415:Biomarkers; D018394:CA-125 Antigen; D011228:Prealbumin; D011506:Proteins; D020543:Proteome; D000081102:WAP Four-Disulfide Core Domain Protein 2; C569698:WFDC2 protein, human; D001613:beta 2-Microglobulin; D053495:Osteopontin; D003404:Creatinine