Evidence map›Paper›PMID 41617975›Full record

ArticleCell death and differentiation2026

Differential immune- and apoptosis-related gene signatures in pancreatic alpha and beta cells contribute to their fate in type 1 diabetes.

Xiaoyan Yi, Eugenia Martin-Vazquez, Sayro Jawurek, Priscila L Zimath, Junior Garcia Oliveira, Jose Maria Costa-Junior, Erwin Ilegems, Johnna D Wesley, Alexandra C Title, Burcak Yesildag and 1 more

Abstract read
In one paragraph

Article in Cell death and differentiation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. From bats to humans: uncoveringbioRxiv : the preprint server for biology · 2026
    Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Xiaoyan Yi *ULB Center for Diabetes Research, Medical Faculty, Université Libre De Bruxelles (ULB), Brussels, Belgium.ORCID 0000-0001-6995-8573
Eugenia Martin-Vazquez *ULB Center for Diabetes Research, Medical Faculty, Université Libre De Bruxelles (ULB), Brussels, Belgium. maria.eugenia.martinvazquez.garcia@ulb.be.ORCID 0000-0003-4881-4938
Sayro JawurekULB Center for Diabetes Research, Medical Faculty, Université Libre De Bruxelles (ULB), Brussels, Belgium.ORCID 0009-0002-4821-5935
Priscila L ZimathULB Center for Diabetes Research, Medical Faculty, Université Libre De Bruxelles (ULB), Brussels, Belgium.
Junior Garcia OliveiraULB Center for Diabetes Research, Medical Faculty, Université Libre De Bruxelles (ULB), Brussels, Belgium.ORCID 0000-0002-3971-126X
Jose Maria Costa-JuniorULB Center for Diabetes Research, Medical Faculty, Université Libre De Bruxelles (ULB), Brussels, Belgium.
Erwin IlegemsNovo Nordisk Research Center, Novo Nordisk A/S, Maaloev, Denmark.
Johnna D WesleyNovo Nordisk US R&D, Lexington, MA, USA.ORCID 0000-0002-3693-1101
Alexandra C TitleInSphero AG, Schlieren, Switzerland.
Burcak YesildagInSphero AG, Schlieren, Switzerland.
Decio L EizirikULB Center for Diabetes Research, Medical Faculty, Université Libre De Bruxelles (ULB), Brussels, Belgium.ORCID 0000-0003-2453-5889

Funding

The Integrated Stress Response in Human Islets During Early T1DU01DK127786 · NIDDK · UNIVERSITY OF CHICAGO · PI EVANS-MOLINA, CARMELLA, MIRMIRA, RAGHAVENDRA G · 2020 to 2025
$7.1M
Implications of Changes in Islet Exosomal Cargo in Type 1 DiabetesR01DK133881 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EVANS-MOLINA, CARMELLA, MIRMIRA, RAGHAVENDRA G · 2022 to 2025
$2.7M
iPLA2beta-mediated alternative splicing and -cell death in type 1 diabetesR01DK126444 · NIDDK · UNIVERSITY OF VIRGINIA · PI CHALFANT, CHARLES E., EIZIRIK, DECIO LAKS · 2021 to 2024
$2.0M
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) RO1DK126444Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) RO1DK133881-01Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) U01DK127786NIDDK NIH HHS R01 DK126444NIDDK NIH HHS R01 DK133881NIDDK NIH HHS U01 DK127786
6 · The paper itself

Abstract

Both alpha and beta cells are dysfunctional in type 1 diabetes (T1D), but beta cells die while alpha cells survive the immune attack. Understanding the mechanisms underlying alpha-cell resistance could identify new approaches to protect beta cells. Herein, we analysed single-cell datasets from human alpha and beta cells under basal/unstimulated conditions and under immune-mediated stress. Alpha cells exhibit enhanced immune-like gene expression compared to beta cells. We also found that the tumor suppressor Maternally Expressed Gene 3 (MEG3), a T1D risk gene, is highly expressed in beta cells while almost undetectable in alpha cells. These observations were confirmed by analysing bulk RNA-sequencing data from fluorescence-activated cell-sorted alpha and beta cells isolated from primary human islets from non-diabetic donors. Additionally, MEG3 knockdown in human insulin-producing EndoC-βH1 cells and human islets microtissues decreased cytokine-induced damage and apoptosis, preserving beta-cell function under inflammatory conditions. The fact that alpha cells exhibit increased immune-like and anti-apoptotic activity as compared to beta cells suggests that they are better equipped to endure the autoimmune assault in T1D. In addition, the marked difference in the expression of the pro-apoptotic factor MEG3 in beta cells compared to alpha cells may explain, at least in part, why beta cells are more susceptible to damage and cell death in a diabetogenic environment than neighbor alpha cells within the same islet.

Indexed as

ApoptosisDiabetes Mellitus, Type 1Glucagon-Secreting CellsInsulin-Secreting CellsHumans

Identifiers

PMID41617975
PMCPMC13434411

What OpenQuestion holds

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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.