Evidence map›Paper›PMID 39103322›Full record

ArticleNature communications2024

Functional genetics reveals the contribution of delta opioid receptor to type 2 diabetes and beta-cell function.

Sarah Meulebrouck, Judith Merrheim, Gurvan Queniat, Cyril Bourouh, Mehdi Derhourhi, Mathilde Boissel, Xiaoyan Yi, Alaa Badreddine, Raphaël Boutry, Audrey Leloire and 20 more

Abstract read
In one paragraph

Article in Nature communications, 2024. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. The role of mu-opioid receptors in pancreatic islet α-cells.Journal of molecular endocrinology · 2025
    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

30 authors.

Sarah MeulebrouckUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.ORCID 0000-0002-8674-7337
Judith Merrheim *Université de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Gurvan Queniat *Université de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Cyril Bourouh *Université de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Mehdi DerhourhiUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.ORCID 0000-0001-5020-5379
Mathilde BoisselUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.ORCID 0000-0001-5719-8749
Xiaoyan YiULB Center for Diabetes Research, Université Libre de Bruxelles, Brussels, Belgium.
Alaa BadreddineUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Raphaël BoutryUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Audrey LeloireUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Bénédicte ToussaintUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Souhila AmanzougareneUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Emmanuel VaillantUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Emmanuelle DurandUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Hélène LoiselleUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Marlène HuyvaertUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Aurélie DechaumeUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Victoria ScherrerUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Piero MarchettiIslet Cell Laboratory, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Beverley BalkauParis-Saclay University, Paris-Sud University, UVSQ, Center for Research in Epidemiology and Population Health, Inserm U1018 Clinical Epidemiology, Villejuif, France.ORCID 0000-0003-2021-413X
Guillaume CharpentierCERITD (Centre d'Étude et de Recherche pour l'Intensification du Traitement du Diabète), Evry, France.
Sylvia FrancCERITD (Centre d'Étude et de Recherche pour l'Intensification du Traitement du Diabète), Evry, France.
Michel MarreInstitut Necker-Enfants Malades, Inserm, Université de Paris, Paris, France.
Ronan RousselInstitut Necker-Enfants Malades, Inserm, Université de Paris, Paris, France.
Raphaël ScharfmannInstitut Cochin, Inserm U1016, CNRS UMR8104, Université de Paris, Paris, France.ORCID 0000-0001-7619-337X
Miriam CnopULB Center for Diabetes Research, Université Libre de Bruxelles, Brussels, Belgium.ORCID 0000-0002-5112-1692
Mickaël CanouilUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.ORCID 0000-0002-3396-4549
Morgane BaronUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France.
Philippe FroguelUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France. p.froguel@imperial.ac.uk.ORCID 0000-0003-2972-0784
Amélie BonnefondUniversité de Lille, Inserm UMR1283, CNRS UMR8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille University Hospital, Lille, France. amelie.bonnefond@cnrs.fr.ORCID 0000-0001-9976-3005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional genetics has identified drug targets for metabolic disorders. Opioid use impacts metabolic homeostasis, although mechanisms remain elusive. Here, we explore the OPRD1 gene (encoding delta opioid receptor, DOP) to understand its impact on type 2 diabetes. Large-scale sequencing of OPRD1 and in vitro analysis reveal that loss-of-function variants are associated with higher adiposity and lower hyperglycemia risk, whereas gain-of-function variants are associated with lower adiposity and higher type 2 diabetes risk. These findings align with studies of opium addicts. OPRD1 is expressed in human islets and beta cells, with decreased expression under type 2 diabetes conditions. DOP inhibition by an antagonist enhances insulin secretion from human beta cells and islets. RNA-sequencing identifies pathways regulated by DOP antagonism, including nerve growth factor, circadian clock, and nuclear receptor pathways. Our study highlights DOP as a key player between opioids and metabolic homeostasis, suggesting its potential as a therapeutic target for type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2Insulin-Secreting CellsReceptors, Opioid, deltaAdultFemaleHumansInsulinInsulin SecretionMaleMiddle AgedInsulinOPRD1 protein, humanReceptors, Opioid, delta

Identifiers

PMID39103322
PMCPMC11300616

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