Literature DB >> 36199623

Quantitative Mass Spectrometry Normalization in Urine Biomarker Analysis in Nephrotic Syndrome.

Timothy D Cummins1,2, David W Powell1,2, Daniel W Wilkey1, Makayla Brady2, Fredrick W Benz3, Michelle T Barati1, Dawn J Caster1, Jon B Klein1,3,2, Michael L Merchant1,3.   

Abstract

Chronic kidney disease (CKD) affects 30 million adults, costs ~$79 billion dollars (2016) in Medicare expenditures, and is the ninth leading cause of death in the United States. The disease is silent or undiagnosed in almost half of people with severely reduced kidney function. Urine provides an ideal biofluid that is accessible to high-sensitivity mass spectrometry-based proteomic interrogation and is an indicator of renal homeostasis. While the accurate and precise diagnosis and better disease management of CKD can be aided using urine biomarkers, their discovery in excessive protein or nephrotic urine samples can present challenges. In this work we present a mass spectrometry-based method utilizing multiplex tandem mass tag (TMT) quantification and improved protein quantification using reporter ion normalization to urinary creatinine to analyze urinary proteins from patients with a form of nephrotic syndrome (FSGS). A comparative analysis was performed for urine from patients in remission versus active disease flare. Two-dimensional LC-MS/MS TMT quantitative analysis identified over 1058 urine proteins, 580 proteins with 2 peptides or greater and quantifiable. Normalization of TMT abundance values to creatinine per ml of urine concentrated reduced variability in 2D-TMT-LC-MS/MS experiments. Univariate and multivariate analyses showed that 27 proteins were significantly increased in proteinuric disease flare. Hierarchical heatmap clustering showed that SERPINA1 and ORM1 were >1.5 fold increased in active disease versus remission urine samples. ELISA validation of SERPINA1 and ORM1 abundance agreed with our quantitative TMT proteomics analysis. These findings provide support for the utility of this method for identification of novel diagnostic markers of CKD and identify SERPINA1 and ORM1 as promising candidate diagnostic markers for FSGS.

Entities:  

Keywords:  biomarker; kidney disease; nephrotic syndrome; proteomics; tandem mass tag

Year:  2022        PMID: 36199623      PMCID: PMC9529004          DOI: 10.1159/000522217

Source DB:  PubMed          Journal:  Glomerular Dis        ISSN: 2673-3625


  23 in total

1.  Optimizing a proteomics platform for urine biomarker discovery.

Authors:  Maryam Afkarian; Manoj Bhasin; Simon T Dillon; Manuel C Guerrero; Robert G Nelson; William C Knowler; Ravi Thadhani; Towia A Libermann
Journal:  Mol Cell Proteomics       Date:  2010-05-28       Impact factor: 5.911

2.  Step-by-Step Sample Preparation of Proteins for Mass Spectrometric Analysis.

Authors:  Xinping Li; Thomas Franz; Ilian Atanassov; Thomas Colby
Journal:  Methods Mol Biol       Date:  2021

3.  Protocols for Preparation and Mass Spectrometry Analysis of Clinical Urine Samples to Identify Candidate Biomarkers of Schistosoma-Associated Bladder Cancer.

Authors:  Tariq Ganief; Bridget Calder; Jonathan M Blackburn
Journal:  Methods Mol Biol       Date:  2021

Review 4.  Distinguishing diabetic nephropathy from other causes of glomerulosclerosis: an update.

Authors:  K O Alsaad; A M Herzenberg
Journal:  J Clin Pathol       Date:  2007-01       Impact factor: 3.411

5.  Association of urinary type IV collagen with GFR decline in young patients with type 1 diabetes.

Authors:  Miwa Morita; Yasuko Uchigata; Ko Hanai; Yohei Ogawa; Yasuhiko Iwamoto
Journal:  Am J Kidney Dis       Date:  2011-07-16       Impact factor: 8.860

6.  Deep Coverage of Global Protein Expression and Phosphorylation in Breast Tumor Cell Lines Using TMT 10-plex Isobaric Labeling.

Authors:  Fang-Ke Huang; Guoan Zhang; Kevin Lawlor; Arpi Nazarian; John Philip; Paul Tempst; Noah Dephoure; Thomas A Neubert
Journal:  J Proteome Res       Date:  2017-02-03       Impact factor: 4.466

7.  Urinary Proteomics Yield Pathological Insights for Ureteropelvic Junction Obstruction.

Authors:  John W Froehlich; Stephen A Kostel; Patricia S Cho; Andrew C Briscoe; Hanno Steen; Ali R Vaezzadeh; Richard S Lee
Journal:  Mol Cell Proteomics       Date:  2016-05-23       Impact factor: 5.911

8.  Diagnosis and Prediction of CKD Progression by Assessment of Urinary Peptides.

Authors:  Joost P Schanstra; Petra Zürbig; Alaa Alkhalaf; Angel Argiles; Stephan J L Bakker; Joachim Beige; Henk J G Bilo; Christos Chatzikyrkou; Mohammed Dakna; Jesse Dawson; Christian Delles; Hermann Haller; Marion Haubitz; Holger Husi; Joachim Jankowski; George Jerums; Nanne Kleefstra; Tatiana Kuznetsova; David M Maahs; Jan Menne; William Mullen; Alberto Ortiz; Frederik Persson; Peter Rossing; Piero Ruggenenti; Ivan Rychlik; Andreas L Serra; Justyna Siwy; Janet Snell-Bergeon; Goce Spasovski; Jan A Staessen; Antonia Vlahou; Harald Mischak; Raymond Vanholder
Journal:  J Am Soc Nephrol       Date:  2015-01-14       Impact factor: 10.121

9.  Comparison of Depletion Strategies for the Enrichment of Low-Abundance Proteins in Urine.

Authors:  Szymon Filip; Konstantinos Vougas; Jerome Zoidakis; Agnieszka Latosinska; William Mullen; Goce Spasovski; Harald Mischak; Antonia Vlahou; Joachim Jankowski
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

Review 10.  Utility of renal biopsy in the clinical management of renal disease.

Authors:  Neeraj Dhaun; Christopher O Bellamy; Daniel C Cattran; David C Kluth
Journal:  Kidney Int       Date:  2014-01-08       Impact factor: 10.612

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