Evidence map›Paper›PMID 36199623›Full record

ArticleGlomerular diseases2022

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

Timothy D Cummins, David W Powell, Daniel W Wilkey, Makayla Brady, Fredrick W Benz, Michelle T Barati, Dawn J Caster, Jon B Klein, Michael L Merchant

Open access · goldAbstract read
In one paragraph

Article in Glomerular diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Timothy D CumminsKidney Disease Program and Clinical Proteomics Center.
David W PowellKidney Disease Program and Clinical Proteomics Center.
Daniel W WilkeyKidney Disease Program and Clinical Proteomics Center.
Makayla BradyDepartment of Biochemistry and Molecular Genetics.
Fredrick W BenzDepartment of Pharmacology and Toxicology.
Michelle T BaratiKidney Disease Program and Clinical Proteomics Center.
Dawn J CasterKidney Disease Program and Clinical Proteomics Center.
Jon B KleinKidney Disease Program and Clinical Proteomics Center.
Michael L MerchantKidney Disease Program and Clinical Proteomics Center.
University of Louisville · US

Funding

Role of oxidized linoleic acid metabolites in the pathogenesis of alcoholic liver diseaseP20GM113226 · NIGMS · UNIVERSITY OF LOUISVILLE · PI ZHANG, XIANG · 2016 to 2025
$24.1M
The Role of Nutrition in the Development/Progression of Alcohol-Induced Organ InjuryP50AA024337 · NIAAA · UNIVERSITY OF LOUISVILLE · PI CRAIG J. MCCLAIN · 2016 to 2026
$17.9M
University of Louisville Center for Integrative Environmental Health SciencesP30ES030283 · NIEHS · UNIVERSITY OF LOUISVILLE · PI Amanda Jo LeBlanc · 2020 to 2026
$10.0M
Biomarkers of Alcoholic HepatitisR01AA028436 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ARTEEL, GAVIN E, BENOS, PANAGIOTIS V · 2020 to 2024
$3.0M
ABIN1 dysfunction in Lupus NephritisR01DK126777 · NIDDK · UNIVERSITY OF LOUISVILLE · PI CASTER, DAWN, POWELL, DAVID W. · 2021 to 2025
$2.9M
Integrating Proteomics and Metabolomics to Understand Pediatric Glomerular Disease Pathophysiology and PrognosisR01DK110077 · NIDDK · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI KLEIN, JON, SMOYER, WILLIAM E · 2016 to 2020
$1.8M
Nephritogenic autoantibodies in systemic lupusK08DK102542 · NIDDK · UNIVERSITY OF LOUISVILLE · PI CASTER, DAWN · 2016 to 2020
$817k
NIAAA NIH HHS P50 AA024337NIAAA NIH HHS R01 AA028436NIDDK NIH HHS K08 DK102542NIDDK NIH HHS R01 DK110077NIDDK NIH HHS R01 DK126777NIEHS NIH HHS P30 ES030283NIGMS NIH HHS P20 GM113226
6 · The paper itself

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.

Indexed as

biomarkerkidney diseasenephrotic syndromeproteomicstandem mass tag

Identifiers

PMID36199623
PMCPMC9529004
OpenAlexW4210709728

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.