Evidence map›Paper›PMID 35864198›Full record

Observational studyScientific reports2022

The challenge of HLA donor specific antibodies in the management of pancreatic islet transplantation: an illustrative case-series.

Mehdi Maanaoui, Mikael Chetboun, Isabelle Top, Vincent Elsermans, Julie Kerr-Conte, Kristell Le Mapihan, Frederique Defrance, Valéry Gmyr, Thomas Hubert, Myriam Labalette and 3 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07666789 (Efficacy and Safety of Islet Re-transplantation After Failure of Beta-cell Replacement), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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.

NCT07666789 recruitingnot on this mapstarted 2025, after this paper: background citation

Efficacy and Safety of Islet Re-transplantation After Failure of Beta-cell Replacement

TypeobservationalSponsorUniversity Hospital, MontpellierRan2025 to 2026Enrolled20ConditionsType 1 Diabetes (T1D), Islets of Langerhans Transplantation
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Chronic Pancreas Allograft Rejection Followed by Successful HLA-Incompatible Islet Alloautotransplantation: A Novel Strategy?Transplant international : official journal of the European Society for Organ Transplantation · 2023
    Article
  4. Review
  5. 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 at 4 institutions in 1 country.

Mehdi Maanaoui *Department of Nephrology, Service de Néphrologie, CHU de Lille, Hôpital Huriez, 59037, Lille, France. mehdi.maanaoui@gmail.com.
Mikael Chetboun *Inserm, CHU Lille, Institut Pasteur Lille, University in Lille, U1190 - EGID, 59000, Lille, France.
Isabelle TopService d'Immunologie, CHU Lille, 59000, Lille, France.
Vincent ElsermansService d'Immunologie, CHU Lille, 59000, Lille, France.
Julie Kerr-ConteInserm, CHU Lille, Institut Pasteur Lille, University in Lille, U1190 - EGID, 59000, Lille, France.
Kristell Le MapihanInserm, CHU Lille, Institut Pasteur Lille, University in Lille, U1190 - EGID, 59000, Lille, France.
Frederique DefranceInserm, CHU Lille, Institut Pasteur Lille, University in Lille, U1190 - EGID, 59000, Lille, France.
Valéry GmyrInserm, CHU Lille, Institut Pasteur Lille, University in Lille, U1190 - EGID, 59000, Lille, France.
Thomas HubertInserm, CHU Lille, Institut Pasteur Lille, University in Lille, U1190 - EGID, 59000, Lille, France.
Myriam LabaletteService d'Immunologie, CHU Lille, 59000, Lille, France.
Marc HazzanDepartment of Nephrology, Service de Néphrologie, CHU de Lille, Hôpital Huriez, 59037, Lille, France.
Marie-Christine VantyghemInserm, CHU Lille, Institut Pasteur Lille, University in Lille, U1190 - EGID, 59000, Lille, France.
François PattouInserm, CHU Lille, Institut Pasteur Lille, University in Lille, U1190 - EGID, 59000, Lille, France.
Centre Hospitalier Universitaire de Lille · FRInstitut Pasteur de Lille · FRInserm · FRLille’s Cardiology Hospital · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Islet transplantation is a unique paradigm in organ transplantation, since multiple donors are required to achieve complete insulin-independence. Preformed or de novo Donor Specific Antibodies (DSA) may target one or several donor islets, which adds complexity to the analysis of their impact. Adult patients with type 1 diabetes transplanted with pancreatic islets between 2005 and 2018 were included in a single-center observational study. Thirty-two recipients with available sera tested by solid-phase assays for anti-HLA antibodies during their whole follow-up were analyzed. Twenty-five recipients were islet-transplantation-alone recipients, and 7 islet-after-kidney recipients. Seven recipients presented with DSA at any time during follow-up (two with preformed DSA only, one with preformed and de novo DSA, 4 with de novo DSA only). Only islet-transplantation-alone recipients presented with de novo DSA. Three clinical trajectories were identified according to: 1/the presence of preformed DSA, 2/early de novo DSA or 3/late de novo DSA. Only late de novo DSA were associated with unfavorable outcomes, depicted by a decrease of the β-score. Islet transplantation with preformed DSA, even with high MFI values, is associated with favorable outcomes in our experience. On the contrary, de novo DSA, and especially late de novo DSA, may be associated with allograft loss.

Indexed as

Islets of Langerhans TransplantationIsoantibodiesAdultGraft RejectionGraft SurvivalHLA AntigensHumansRetrospective StudiesTissue DonorsHLA AntigensIsoantibodies

Identifiers

PMID35864198
PMCPMC9304358
OpenAlexW4286111705

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.