Evidence map›Paper›PMID 28242033›Full record

ArticleKidney international2017

A composite score associated with spontaneous operational tolerance in kidney transplant recipients.

Richard Danger, Mélanie Chesneau, Chloé Paul, Pierrick Guérif, Maxim Durand, Kenneth A Newell, Sai Kanaparthi, Laurence A Turka, Jean-Paul Soulillou, Rémi Houlgatte and 3 more

Abstract readValidation Study
In one paragraph

Article in Kidney international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Tolerance Induction Strategies in Organ Transplantation: Current Status and Future Perspectives.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Peripheral blood immune cell profiling of acute corneal transplant rejection.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Recent Advances on Biomarkers of Early and Late Kidney Graft Dysfunction.International journal of molecular sciences · 2020
    Review
  14. RNA expression profiling of nonhuman primate renal allograft rejection identifies tolerance.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2018
    Article
  15. Review
  16. The bridge between transplantation and regenerative medicine: Beginning a new Banff classification of tissue engineering pathology.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2018
    Article
  17. Article
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

13 authors.

Richard DangerCentre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France; Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France.
Mélanie ChesneauCentre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France; Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France.
Chloé PaulCentre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France; Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France.
Pierrick GuérifCentre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France; Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France.
Maxim DurandCentre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France; Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France.
Kenneth A NewellDepartment of Surgery, Emory University, Atlanta, Georgia, USA.
Sai KanaparthiImmune Tolerance Network, Bethesda, Maryland, USA.
Laurence A TurkaCenter for Transplantation Sciences, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jean-Paul SoulillouCentre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France; Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France.
Rémi HoulgatteINSERM UMR 954, Nancy, France; CHU de Nancy, DRCI, Nancy, France.
Magali GiralCentre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France; Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France; Université de Nantes, Faculté de Médecine, Nantes, France; CIC Biotherapy, CHU Nantes, Nantes, France.
Gérard RamsteinLINA DUKe, UMR 6241, Université de Nantes, Ecole des Mines de Nantes and CNRS, Nantes, France.
Sophie BrouardCentre de Recherche en Transplantation et Immunologie UMR1064, INSERM, Université de Nantes, Nantes, France; Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France; CIC Biotherapy, CHU Nantes, Nantes, France. Electronic address: sophie.brouard@univ-nantes.fr.

Funding

Immune Tolerance Network UM1 2023 SupplementUM1AI109565 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI Mark S Anderson, Jane Hoyt Buckner · 2014 to 2026
$451.6M
NIAID NIH HHS UM1 AI109565
6 · The paper itself

Abstract

New challenges in renal transplantation include using biological information to devise a useful clinical test for discerning high- and low-risk patients for individual therapy and ascertaining the best combination and appropriate dosages of drugs. Based on a 20-gene signature from a microarray meta-analysis performed on 46 operationally tolerant patients and 266 renal transplant recipients with stable function, we applied the sparse Bolasso methodology to identify a minimal and robust combination of six genes and two demographic parameters associated with operational tolerance. This composite score of operational tolerance discriminated operationally tolerant patients with an area under the curve of 0.97 (95% confidence interval 0.94-1.00). The score was not influenced by immunosuppressive treatment, center of origin, donor type, or post-transplant lymphoproliferative disorder history of the patients. This composite score of operational tolerance was significantly associated with both de novo anti-HLA antibodies and tolerance loss. It was validated by quantitative polymerase chain reaction using independent samples and demonstrated specificity toward a model of tolerance induction. Thus, our score would allow clinicians to improve follow-up of patients, paving the way for individual therapy.

Indexed as

Decision Support TechniquesKidney TransplantationOligonucleotide Array Sequence AnalysisTranscriptomeTransplant RecipientsArea Under CurveClinical Decision-MakingGene Expression ProfilingGenetic MarkersGraft RejectionGraft SurvivalHLA AntigensHumansImmunosuppressive AgentsIsoantibodiesPatient SelectionGenetic MarkersHLA AntigensImmunosuppressive AgentsIsoantibodiesbiomarkergene expressiongraft survivaloperational tolerancerenal transplantation

Identifiers

PMID28242033
PMCPMC5432017

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.