Evidence map›Paper›PMID 42888242›Full record

ReviewNature reviews. Endocrinology2026

The β-cells in type 1 diabetes mellitus: findings from human pancreas studies.

Decio L Eizirik, Eugenia Martin-Vazquez, Arturo Roca-Rivada, Xiaoyan Yi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Decio L EizirikULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles (ULB), Brussels, Belgium. decio.laks.eizirik@ulb.be.ORCID http://orcid.org/0000-0003-2453-5889
Eugenia Martin-VazquezULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles (ULB), Brussels, Belgium.ORCID http://orcid.org/0000-0003-4881-4938
Arturo Roca-RivadaULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles (ULB), Brussels, Belgium.
Xiaoyan YiULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles (ULB), Brussels, Belgium.ORCID http://orcid.org/0000-0001-6995-8573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease characterized by long-term and dynamic interactions between the immune system and pancreatic β-cells, ultimately leading to severe insulin deficiency. A paradigm shift in T1DM research has occurred in the past few years, with research now focusing on the human disease because of access to human pancreatic tissue and pancreas-draining lymph nodes. Advances in high-resolution imaging, single-cell and spatial multi-omics, and histopathology based on artificial intelligence have profoundly reshaped our understanding of disease initiation and progression. These studies revealed that β-cell loss and/or dysfunction might begin earlier than previously appreciated, preferentially affecting small β-cell-rich islets and insulin-positive cell clusters, with larger islets showing transient resistance. Substantial β-cell mass often persists at diagnosis, accompanied by functional impairment rather than immediate cell death. Across disease stages, β-cells exhibit conserved molecular signatures dominated by interferon signalling, enhanced antigen presentation and adaptive immune-evasion programmes, with evidence of heterogeneity linked to age, disease duration and immune context. Parallel analyses of pancreatic lymph nodes show early immune dysregulation, including altered regulatory T cell signatures and expansion of stem-like cytotoxic T cell populations, even before overt hyperglycaemia. Together, these findings support an integrated model of T1DM progression that enables alignment of clinical staging with evolving β-cell and immune phenotypes.

Identifiers

What OpenQuestion holds

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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.