Evidence map›Paper›PMID 31152474›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2019

Discovery and cross-validation of peripheral blood and renal biopsy gene expression signatures from ethnically diverse kidney transplant populations.

Carlucci G Ventura, Thomas Whisenant, Terri Gelbart, Daisa S R David, Fabiana Agena, Daniel R Salomon, Elias David-Neto, Sunil M Kurian

Open access · hybridAbstract read
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 6 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

8 authors at 4 institutions in 2 countries.

Carlucci G VenturaRenal Transplant Service, Hospital das Clinicas-University of Sao Paulo School of Medicine, Sao Paulo, Brazil.
Thomas WhisenantUniversity of California, San Diego, School of Medicine, Center for Computational Biology and Bioinformatics, La Jolla, California.
Terri GelbartDepartment of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, California.
Daisa S R DavidRenal Transplant Service, Hospital das Clinicas-University of Sao Paulo School of Medicine, Sao Paulo, Brazil.
Fabiana AgenaRenal Transplant Service, Hospital das Clinicas-University of Sao Paulo School of Medicine, Sao Paulo, Brazil.
Daniel R Salomon
Elias David-NetoRenal Transplant Service, Hospital das Clinicas-University of Sao Paulo School of Medicine, Sao Paulo, Brazil.ORCID 0000-0001-8398-1745
Sunil M KurianScripps Center for Organ Transplantation, Scripps Green Hospital, La Jolla, California.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRScripps Green Hospital · USScripps Research Institute · USUniversity of California San Diego · US

Funding

Quantitative Biology CoreU19AI063603 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI SCHORK, NICHOLAS JOSEPH · 2004 to 2015
$26.4M
International Society of Nephrology (ISN) fellowshipNIAID NIH HHS U19 AI063603
6 · The paper itself

Abstract

We determined peripheral blood (PB) and biopsy (Bx) RNA expression signatures in a Brazilian and US cohort of kidney transplant patients. Phenotypes assigned by precise histology were: acute rejection (AR), interstitial fibrosis/tubular atrophy/chronic rejection (CR), excellent functioning transplants (TX), and glomerulonephritis recurrence (GN). Samples were analyzed on microarrays and profiles from each cohort were cross-validated on the other cohort with similar phenotypes. We discovered signatures for each tissue: (1) AR vs TX, (2) CR vs TX, and (3) GN vs TX using the Random Forests algorithm. We validated biopsies signatures of AR vs TX (area under the curve [AUC] 0.97) and CR vs TX (AUC 0.87). We also validated both PB and Bx signatures of AR vs TX and CR vs TX with varying degrees of accuracy. Several biological pathways were shared between AR and CR, suggesting similar rejection mechanisms in these 2 clinical phenotypes. Thus, we identified gene expression signatures for AR and CR in transplant patients and validated them in independent cohorts of significantly different racial/ethnic backgrounds. These results reveal that there are strong unifying immune mechanisms driving transplant diseases and identified in the signatures discovered in each cohort, suggesting that molecular diagnostics across populations are feasible despite ethnic and environmental differences.

Indexed as

TranscriptomeAdolescentAdultAgedBiomarkersBiopsyCohort StudiesEthnicityFemaleFollow-Up StudiesGene Expression ProfilingGraft RejectionGraft SurvivalHumansKidney Failure, ChronicKidney TransplantationBiomarkersbasic (laboratory) research/scienceclinical research/practicekidney transplantation: living donorkidney transplantation/nephrologymicroarray/gene arrayrejection: acuterejection: chronic

Identifiers

PMID31152474
PMCPMC6883121
OpenAlexW2947805756

What OpenQuestion holds

Textmetadata
LicenceTDM
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.