Evidence map›Paper›PMID 27898719›Full record

ArticlePloS one2016

Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study.

Diane Bodez, Hakim Hocini, Nicolas Tchitchek, Pascaline Tisserand, Nicole Benhaiem, Caroline Barau, Mounira Kharoubi, Aziz Guellich, Soulef Guendouz, Costin Radu and 7 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  4. Review
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  7. Review
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

17 authors at 7 institutions in 1 country.

Diane BodezAP-HP, Department of Cardiology, Henri Mondor Teaching Hospital, Créteil, France.
Hakim HociniSchool of Medicine, Paris-Est-Créteil University (UPEC), Créteil, France.
Nicolas TchitchekCEA, DSV/iMETI, Immunology of viral infections and autoimmune diseases research unit, Fontenay-aux-Roses, France.
Pascaline TisserandSchool of Medicine, Paris-Est-Créteil University (UPEC), Créteil, France.
Nicole BenhaiemAP-HP, Department of Pathology, Henri Mondor Teaching Hospital, Créteil, France.
Caroline BarauSchool of Medicine, Paris-Est-Créteil University (UPEC), Créteil, France.
Mounira KharoubiAP-HP, Department of Cardiology, Henri Mondor Teaching Hospital, Créteil, France.
Aziz GuellichAP-HP, Department of Cardiology, Henri Mondor Teaching Hospital, Créteil, France.
Soulef GuendouzAP-HP, Department of Cardiology, Henri Mondor Teaching Hospital, Créteil, France.
Costin RaduAP-HP, Department of Cardiac Surgery, Henri Mondor Teaching Hospital, Créteil, France.
Jean-Paul CouetilSchool of Medicine, Paris-Est-Créteil University (UPEC), Créteil, France.
Bijan GhalehSchool of Medicine, Paris-Est-Créteil University (UPEC), Créteil, France.
Jean-Luc Dubois-RandéAP-HP, Department of Cardiology, Henri Mondor Teaching Hospital, Créteil, France.
Emmanuel TeigerAP-HP, Department of Cardiology, Henri Mondor Teaching Hospital, Créteil, France.
Luc HittingerAP-HP, Department of Cardiology, Henri Mondor Teaching Hospital, Créteil, France.
Yves LevySchool of Medicine, Paris-Est-Créteil University (UPEC), Créteil, France.
Thibaud DamyAP-HP, Department of Cardiology, Henri Mondor Teaching Hospital, Créteil, France.
Assistance Publique – Hôpitaux de Paris · FRInserm · FRUniversité Paris-Est Créteil · FRHôpitaux Universitaires Henri-Mondor · FRInstitut de Recherche Vaccinale · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInstitut Mondor de Recherche Biomédicale · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsSerial invasive endomyocardial biopsies (EMB) remain the gold standard for acute cellular rejection (ACR) diagnosis. However histological grading has several limitations. We aimed to explore the value of myocardial Gene Expression Profiling (GEP) for diagnosing and identifying predictive biomarkers of ACR.

methodsA case-control study nested within a retrospective heart transplant patients cohort included 126 patients with median (IQR) age 50 (41-57) years and 111 (88%) males. Among 1157 EMB performed, 467 were eligible (i.e, corresponding to either ISHLT grade 0 or ≥3A), among which 36 were selected for GEP according to the grading: 0 (CISHLT, n = 13); rejection ≥3A (RISHLT, n = 13); 0 one month before ACR (BRISHLT, n = 10).

resultsWe found 294 genes differentially expressed between CISHLT and RISHLT, mainly involved in immune activation, and inflammation. Hierarchical clustering showed a clear segregation of CISHLT and RISHLT groups and heterogeneity of GEP within RISHLT. All EMB presented immune activation, but some RISHLT EMB were strongly subject to inflammation, whereas others, closer to CISHLT, were characterized by structural modifications with lower inflammation level. We identified 15 probes significantly different between BRISHLT and CISHLT, including the gene of the muscular protein TTN. This result suggests that structural alterations precede inflammation in ACR. Linear Discriminant Analysis based on these 15 probes was able to identify the histological status of every 36 samples.

conclusionMyocardial GEP is a helpful method to accurately diagnose ACR, and predicts rejection one month before its histological occurrence. These results should be considered in cardiac allograft recipients' care.

Indexed as

Gene Expression ProfilingAdultAllograftsBiomarkersCase-Control StudiesFemaleGraft RejectionHeart TransplantationHumansMaleMiddle AgedMyocardiumRetrospective StudiesYoung AdultBiomarkers

Identifiers

PMID27898719
PMCPMC5127573
OpenAlexW2558578039

What OpenQuestion holds

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LicenceCC BY
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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.