Evidence map›Paper›PMID 27165815›Full record

ArticleKidney international2016

Mining the human urine proteome for monitoring renal transplant injury.

Tara K Sigdel, Yuqian Gao, Jintang He, Anyou Wang, Carrie D Nicora, Thomas L Fillmore, Tujin Shi, Bobbie-Jo Webb-Robertson, Richard D Smith, Wei-Jun Qian and 3 more

Open access · greenAbstract read
In one paragraph

Article in Kidney international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Pooled it
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  14. T Cells With ActivatedFrontiers in immunology · 2022
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  19. IdentifyingJournal of immunology research · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Tara K SigdelThe Department of Surgery, University of California San Francisco, San Francisco, California, USA.
Yuqian GaoBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Jintang HeBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Anyou WangThe Department of Surgery, University of California San Francisco, San Francisco, California, USA.
Carrie D NicoraBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Thomas L FillmoreBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Tujin ShiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Bobbie-Jo Webb-RobertsonBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Oscar SalvatierraDepartment of Surgery, Stanford University, Palo Alto, California, USA.
David G CampBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Minnie M SarwalThe Department of Surgery, University of California San Francisco, San Francisco, California, USA. Electronic address: minnie.sarwal@ucsf.edu.
Pacific Northwest National Laboratory · USUniversity of California, San Francisco · USStanford University · US

Funding

WORKSHOP AND TRAINING ACTIVITIESP41RR018522 · NCRR · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2003 to 2011
$25.1M
Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
Urinary Proteome Monitoring for Transplant InjuryR01DK083447 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CAMP, DAVID G, SARWAL, MINNIE M · 2010 to 2013
$2.4M
A Universal Multiplex Assay System for High-Throughput Clinical ApplicationsDP2OD006668 · OD · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI QIAN, WEI-JUN · 2009 to 2009
$2.1M
Defining Biomarkers in Pediatric Renal TransplantationR01AI061739 · NIAID · STANFORD UNIVERSITY · PI SARWAL, MINNIE M · 2004 to 2007
$1.6M
Novel Urinary Proteomic Biomarkers for Acute Renal Transplant RejectionR21AI075256 · NIAID · STANFORD UNIVERSITY · PI SARWAL, MINNIE M · 2009 to 2010
$440k
Transplant injury biology and monitoring by urine proteomicsR56DK083447 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SARWAL, MINNIE M · 2015 to 2015
$100k
NCRR NIH HHS P41 RR018522NIAID NIH HHS R01 AI061739NIAID NIH HHS R21 AI075256NIDDK NIH HHS R01 DK083447NIDDK NIH HHS R56 DK083447NIGMS NIH HHS P41 GM103493NIH HHS DP2 OD006668
6 · The paper itself

Abstract

The human urinary proteome provides an assessment of kidney injury with specific biomarkers for different kidney injury phenotypes. In an effort to fully map and decipher changes in the urine proteome and peptidome after kidney transplantation, renal allograft biopsy matched urine samples were collected from 396 kidney transplant recipients. Centralized and blinded histology data from paired graft biopsies was used to classify urine samples into diagnostic categories of acute rejection, chronic allograft nephropathy, BK virus nephritis, and stable graft. A total of 245 urine samples were analyzed by liquid chromatography-mass spectrometry using isobaric Tags for Relative and Absolute Quantitation (iTRAQ) reagents. From a group of over 900 proteins identified in transplant injury, a set of 131 peptides were assessed by selected reaction monitoring for their significance in accurately segregating organ injury causation and pathology in an independent cohort of 151 urine samples. Ultimately, a minimal set of 35 proteins were identified for their ability to segregate the 3 major transplant injury clinical groups, comprising the final panel of 11 urinary peptides for acute rejection (93% area under the curve [AUC]), 12 urinary peptides for chronic allograft nephropathy (99% AUC), and 12 urinary peptides for BK virus nephritis (83% AUC). Thus, urinary proteome discovery and targeted validation can identify urine protein panels for rapid and noninvasive differentiation of different causes of kidney transplant injury, without the requirement of an invasive biopsy.

Indexed as

Kidney TransplantationAdolescentAdultAllograftsBiomarkersBiopsyBK VirusChildChromatography, LiquidFemaleGraft RejectionHumansKidneyMaleMass SpectrometryNephritisBiomarkersacute rejectionkidney transplantation injurynoninvasive biomarkersprotein biomarkersurine proteomics

Identifiers

PMID27165815
PMCPMC5221536
OpenAlexW2292779127

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.