Evidence map›Paper›PMID 26267142›Full record

ArticlePloS one2015

Custom 4-Plex DiLeu Isobaric Labels Enable Relative Quantification of Urinary Proteins in Men with Lower Urinary Tract Symptoms (LUTS).

Tyler Greer, Ling Hao, Anatoliy Nechyporenko, Sanghee Lee, Chad M Vezina, Will A Ricke, Paul C Marker, Dale E Bjorling, Wade Bushman, Lingjun Li

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Article
  2. Quantitative Peptidomics: General Considerations.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Isobaric Labeling Strategy Utilizing 4-PlexJournal of proteome research · 2020
    Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

10 authors.

Tyler GreerDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Ling HaoSchool of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Anatoliy NechyporenkoSchool of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Sanghee LeeDepartment of Urology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Chad M VezinaSchool of Veterinary Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Will A RickeDepartment of Urology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Paul C MarkerSchool of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Dale E BjorlingSchool of Veterinary Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Wade BushmanDepartment of Urology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Lingjun LiDepartment of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, United States of America; School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.

Funding

Role of Beta-Catenin in Urinary DysfunctionU54DK104310 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI RICKE, WILLIAM A · 2014 to 2023
$12.8M
Acquisition of a High-Field Dual Source FTICR-MS for Pharmaceutical ResearchS10RR029531 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2011 to 2011
$2.1M
Steroid hormones and SFRP1 in the age-related incidence of BPH and BOOR01DK091193 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI MARKER, PAUL C · 2011 to 2015
$1.6M
Urinary Biomarkers of Lower Urinary Traxct Symptoms (LUTS) in Men P20DK097826 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI BUSHMAN, WADE A · 2012 to 2014
$776k
NCRR NIH HHS S10 RR029531NCRR NIH HHS S10RR029531NIDDK NIH HHS DK091193NIDDK NIH HHS P20 DK097826NIDDK NIH HHS R01 DK091193NIDDK NIH HHS U54 DK104310
6 · The paper itself

Abstract

The relative quantification of proteins using liquid chromatography mass spectrometry (LC-MS) has allowed researchers to compile lists of potential disease markers. These complex quantitative workflows often include isobaric labeling of enzymatically-produced peptides to analyze their relative abundances across multiple samples in a single LC-MS run. Recent efforts by our lab have provided scientists with cost-effective alternatives to expensive commercial labels. Although the quantitative performance of these dimethyl leucine (DiLeu) labels has been reported using known ratios of complex protein and peptide standards, their potential in large-scale proteomics studies using a clinically relevant system has never been investigated. Our work rectifies this oversight by implementing 4-plex DiLeu to quantify proteins in the urine of aging human males who suffer from lower urinary tract symptoms (LUTS). Protein abundances in 25 LUTS and 15 control patients were compared, revealing that of the 836 proteins quantified, 50 were found to be differentially expressed (>20% change) and statistically significant (p-value <0.05). Gene ontology (GO) analysis of the differentiated proteins showed that many were involved in inflammatory responses and implicated in fibrosis. While confirmation of individual protein abundance changes would be required to verify protein expression, this study represents the first report using the custom isobaric label, 4-plex DiLeu, to quantify protein abundances in a clinically relevant system.

Indexed as

AdultAgedAged, 80 and overCase-Control StudiesHumansLeucineLower Urinary Tract SymptomsMaleMass SpectrometryMiddle AgedProteinuriaUrinalysisLeucine

Identifiers

PMID26267142
PMCPMC4534462

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Registered trials

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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.