Evidence map›Paper›PMID 37497224›Full record

ArticleFrontiers in immunology2023

Pre-transplant immune profile defined by principal component analysis predicts acute rejection after kidney transplantation.

Emilie Gaiffe, Mathilde Colladant, Maxime Desmaret, Jamal Bamoulid, Franck Leroux, Caroline Laheurte, Sophie Brouard, Magali Giral, Philippe Saas, Cécile Courivaud and 2 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Emilie GaiffeBesançon University Hospital, INSERM CIC-1431, Besançon, France.
Mathilde ColladantUniv. Franche-Comté, INSERM, Etablissement Français du Sang Bourgogne Franche-Comté, Unité Mixte de Recherche (UMR) 1098, RIGHT Interactions Hôte-Greffon-Tumeur/Ingénierie Cellulaire et Génique, Besançon, France.
Maxime DesmaretBesançon University Hospital, INSERM CIC-1431, Besançon, France.
Jamal BamoulidUniv. Franche-Comté, INSERM, Etablissement Français du Sang Bourgogne Franche-Comté, Unité Mixte de Recherche (UMR) 1098, RIGHT Interactions Hôte-Greffon-Tumeur/Ingénierie Cellulaire et Génique, Besançon, France.
Franck LerouxBesançon University Hospital, INSERM CIC-1431, Besançon, France.
Caroline LaheurteUniv. Franche-Comté, INSERM, Etablissement Français du Sang Bourgogne Franche-Comté, Unité Mixte de Recherche (UMR) 1098, RIGHT Interactions Hôte-Greffon-Tumeur/Ingénierie Cellulaire et Génique, Besançon, France.
Sophie BrouardCentre Hospitalier Universitaire (CHU) Nantes, Nantes Université, INSERM, Center for Research in Transplantation and Translational Immunology, Unité Mixte de Recherche (UMR) 1064, Institut de Transplantation Université de Nantes (ITUN), Nantes, France.
Magali GiralCentre Hospitalier Universitaire (CHU) Nantes, Nantes Université, INSERM, Center for Research in Transplantation and Translational Immunology, Unité Mixte de Recherche (UMR) 1064, Institut de Transplantation Université de Nantes (ITUN), Nantes, France.
Philippe SaasUniv. Franche-Comté, INSERM, Etablissement Français du Sang Bourgogne Franche-Comté, Unité Mixte de Recherche (UMR) 1098, RIGHT Interactions Hôte-Greffon-Tumeur/Ingénierie Cellulaire et Génique, Besançon, France.
Cécile CourivaudUniv. Franche-Comté, INSERM, Etablissement Français du Sang Bourgogne Franche-Comté, Unité Mixte de Recherche (UMR) 1098, RIGHT Interactions Hôte-Greffon-Tumeur/Ingénierie Cellulaire et Génique, Besançon, France.
Nicolas DegauqueCentre Hospitalier Universitaire (CHU) Nantes, Nantes Université, INSERM, Center for Research in Transplantation and Translational Immunology, Unité Mixte de Recherche (UMR) 1064, Institut de Transplantation Université de Nantes (ITUN), Nantes, France.
Didier DuclouxBesançon University Hospital, INSERM CIC-1431, Besançon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute rejection persists as a frequent complication after kidney transplantation. Defining an at-risk immune profile would allow better preventive approaches. Methods: We performed unsupervised hierarchical clustering analysis on pre-transplant immunological phenotype in 1113 renal transplant recipients from the ORLY-EST cohort. Results: We identified three immune profiles correlated with clinical phenotypes. A memory immune cluster was defined by memory CD4 Conclusion: Immune profile determination based on principal component analysis defines clinically different sub-groups and discriminate a population at high-risk of acute rejection.

Indexed as

Cytomegalovirus InfectionsKidney TransplantationCD8-Positive T-LymphocytesGraft RejectionHumansPrincipal Component Analysisacute rejectionbiomarkerhierarchical clustering analysisimmune profilekidney transplantation

Identifiers

PMID37497224
PMCPMC10367005

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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.