Evidence map›Paper›PMID 26220717›Full record

ArticleProteomics. Clinical applications2016

Development of a Targeted Urine Proteome Assay for kidney diseases.

Lloyd G Cantley, Christopher M Colangelo, Kathryn L Stone, Lisa Chung, Justin Belcher, Thomas Abbott, Jennifer L Cantley, Kenneth R Williams, Chirag R Parikh

Open access · greenAbstract read
In one paragraph

Article in Proteomics. Clinical applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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 3 institutions in 1 country.

Lloyd G CantleyDepartment of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA.
Christopher M ColangeloPrimary Ion, Old Lyme, CT, USA.
Kathryn L StoneW.M. Keck Foundation Biotechnology Laboratory, School of Medicine, Yale University, New Haven, CT, USA.
Lisa ChungW.M. Keck Foundation Biotechnology Laboratory, School of Medicine, Yale University, New Haven, CT, USA.
Justin BelcherDepartment of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA.
Thomas AbbottW.M. Keck Foundation Biotechnology Laboratory, School of Medicine, Yale University, New Haven, CT, USA.
Jennifer L CantleyDepartment of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA.
Kenneth R WilliamsW.M. Keck Foundation Biotechnology Laboratory, School of Medicine, Yale University, New Haven, CT, USA.
Chirag R ParikhDepartment of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA.
Yale University · USW. M. Keck Foundation · USLyndon State College · US

Funding

YALE UNIVERSITY CLINICAL AND TRANSLATIONAL SCIENCE AWARD PROGRAMUL1RR024139 · NCRR · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2006 to 2011
$56.8M
Renal Physiology and Phenotyping CoreP30DK079310 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2022
$16.8M
PATHOPHYSIOLOGY OF ACUTE AND CHRONIC RENAL DISEASET32DK007276 · NIDDK · YALE UNIVERSITY · PI ARONSON, PETER S., CANTLEY, LLOYD G · 1986 to 2022
$9.3M
Center for Polycystic Kidney Disease Research at YaleP30DK090744 · NIDDK · YALE UNIVERSITY · PI CAPLAN, MICHAEL J. · 2010 to 2014
$5.6M
Progression of Acute Kidney Injury to Chronic Kidney DiseaseU01DK082185 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2008 to 2017
$5.1M
Mentoring Program for Translational and Patient Oriented Research in AKIK24DK090203 · NIDDK · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2012 to 2016
$896k
5500 QTrap Mass Spectrometer for Yale University, Keck LaboratoryS10RR026707 · NCRR · YALE UNIVERSITY · PI COLANGELO, CHRISTOPHER MICHAEL · 2010 to 2010
$492k
NCRR NIH HHS S10 RR026707NCRR NIH HHS S10RR026707NCRR NIH HHS UL1 RR024139NIDDK NIH HHS K24 DK090203NIDDK NIH HHS K24DK090203NIDDK NIH HHS P30 DK079310NIDDK NIH HHS P30 DK090744NIDDK NIH HHS T32 DK007276NIDDK NIH HHS U01 DK082185
6 · The paper itself

Abstract

purposeSince human urine is the most readily available biofluid whose proteome changes in response to disease, it is a logical sample for identifying protein biomarkers for kidney diseases. EXPERIMENTAL

designPotential biomarkers were identified by using a multiproteomics workflow to compare urine proteomes of kidney transplant patients with immediate and delayed graft function. Differentially expressed proteins were identified, and corresponding stable isotope labeled internal peptide standards were synthesized for scheduled MRM.

resultsThe Targeted Urine Proteome Assay (TUPA) was then developed by identifying those peptides for which there were at least two transitions for which interference in a urine matrix across 156 MRM runs was <30%. This resulted in an assay that monitors 224 peptides from 167 quantifiable proteins. CONCLUSIONS AND CLINICAL RELEVANCE: TUPA opens the way for using a robust mass spectrometric technology, MRM, for quantifying and validating biomarkers from among 167 urinary proteins. This approach, while developed using differentially expressed urinary proteins from patients with delayed versus immediate graft function after kidney transplant, can be expanded to include differentially expressed urinary proteins in multiple kidney diseases. Thus, TUPA could provide a single assay to help diagnose, prognose, and manage many kidney diseases.

Indexed as

Kidney TransplantationBiomarkersFemaleHumansMaleMass SpectrometryPolycystic Kidney DiseasesProteinuriaProteomeProteomicsRenal Insufficiency, ChronicBiomarkersProteomeChronic kidney diseasePolycystic kidney diseaseTargeted proteomicsUrine

Identifiers

PMID26220717
PMCPMC5003777
OpenAlexW1933923252

What OpenQuestion holds

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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.