Urine protein concentration estimation for biomarker discovery

Recent advances have been made in the study of urinary proteomics as a diagnostic tool for renal disease and pre-eclampsia which requires accurate measurement of urinary protein. We compared different protein assays (Bicinchoninic acid (BCA), Lowry and Bradford) against the ‘gold standard’ amino-aci...

Full description

Bibliographic Details
Main Authors: Mistry, Hiten D., Bramham, Kate, Weston, Andrew, Ward, Malcolm, Thompson, Andrew, Chappell, Lucy C.
Format: Article
Published: Elsevier 2013
Subjects:
Online Access:https://eprints.nottingham.ac.uk/44323/
_version_ 1848796889964609536
author Mistry, Hiten D.
Bramham, Kate
Weston, Andrew
Ward, Malcolm
Thompson, Andrew
Chappell, Lucy C.
author_facet Mistry, Hiten D.
Bramham, Kate
Weston, Andrew
Ward, Malcolm
Thompson, Andrew
Chappell, Lucy C.
author_sort Mistry, Hiten D.
building Nottingham Research Data Repository
collection Online Access
description Recent advances have been made in the study of urinary proteomics as a diagnostic tool for renal disease and pre-eclampsia which requires accurate measurement of urinary protein. We compared different protein assays (Bicinchoninic acid (BCA), Lowry and Bradford) against the ‘gold standard’ amino-acid assay in urine from 43 women (8 non-pregnant, 34 pregnant, including 8 with pre-eclampsia. BCA assay was superior to both Lowry and Bradford assays (Bland Altman bias: 0.08) compared to amino-acid assay, which performed particularly poorly at higher protein concentrations. These data highlight the need to use amino-acid or BCA assays for unprocessed urine protein estimation.
first_indexed 2025-11-14T19:55:10Z
format Article
id nottingham-44323
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:55:10Z
publishDate 2013
publisher Elsevier
recordtype eprints
repository_type Digital Repository
spelling nottingham-443232020-05-04T20:18:44Z https://eprints.nottingham.ac.uk/44323/ Urine protein concentration estimation for biomarker discovery Mistry, Hiten D. Bramham, Kate Weston, Andrew Ward, Malcolm Thompson, Andrew Chappell, Lucy C. Recent advances have been made in the study of urinary proteomics as a diagnostic tool for renal disease and pre-eclampsia which requires accurate measurement of urinary protein. We compared different protein assays (Bicinchoninic acid (BCA), Lowry and Bradford) against the ‘gold standard’ amino-acid assay in urine from 43 women (8 non-pregnant, 34 pregnant, including 8 with pre-eclampsia. BCA assay was superior to both Lowry and Bradford assays (Bland Altman bias: 0.08) compared to amino-acid assay, which performed particularly poorly at higher protein concentrations. These data highlight the need to use amino-acid or BCA assays for unprocessed urine protein estimation. Elsevier 2013-10 Article PeerReviewed Mistry, Hiten D., Bramham, Kate, Weston, Andrew, Ward, Malcolm, Thompson, Andrew and Chappell, Lucy C. (2013) Urine protein concentration estimation for biomarker discovery. Pregnancy Hypertension, 3 (4). pp. 211-214. ISSN 2210-7797 Protein concentration assays; Proteomics; Urine http://www.sciencedirect.com/science/article/pii/S2210778913001980 doi:10.1016/j.preghy.2013.07.001 doi:10.1016/j.preghy.2013.07.001
spellingShingle Protein concentration assays; Proteomics; Urine
Mistry, Hiten D.
Bramham, Kate
Weston, Andrew
Ward, Malcolm
Thompson, Andrew
Chappell, Lucy C.
Urine protein concentration estimation for biomarker discovery
title Urine protein concentration estimation for biomarker discovery
title_full Urine protein concentration estimation for biomarker discovery
title_fullStr Urine protein concentration estimation for biomarker discovery
title_full_unstemmed Urine protein concentration estimation for biomarker discovery
title_short Urine protein concentration estimation for biomarker discovery
title_sort urine protein concentration estimation for biomarker discovery
topic Protein concentration assays; Proteomics; Urine
url https://eprints.nottingham.ac.uk/44323/
https://eprints.nottingham.ac.uk/44323/
https://eprints.nottingham.ac.uk/44323/