Evidence map›Paper›PMID 42032110›Full record

ArticleNature metabolism2026

Epigenetic adaptation of beta cells across lifespan and disease.

Elisabetta Manduchi, Hélène C Descamps, Jinping Liu, Jonathan Schug, Tong Da, Deeksha Lahori, Hilana El-Mekkoussi, Michelle Lee, Eseye Feleke, Diana Bernstein and 5 more

Abstract read
In one paragraph

Article in Nature metabolism, 2026. 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. Article
  2. Article
  3. Good things come in twos.Nature metabolism · 2026
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Elisabetta ManduchiInstitute of Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-4110-3714
Hélène C DescampsInstitute of Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-5591-5839
Jinping LiuInstitute of Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Jonathan SchugInstitute of Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Tong DaInstitute of Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Deeksha LahoriInstitute of Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Hilana El-MekkoussiInstitute of Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Michelle LeeInstitute of Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Eseye FelekeDepartment of Developmental Biology and Cancer Research, The Hebrew University Hadassah Medical School, Jerusalem, Israel.
Diana BernsteinInstitute of Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA.
Chengyang LiuThe Human Pancreas Analysis Program (RRID:SCR_016202), Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-9812-1676
Ali NajiThe Human Pancreas Analysis Program (RRID:SCR_016202), Philadelphia, PA, USA.
Benjamin GlaserDepartment of Endocrinology and Metabolism, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.ORCID http://orcid.org/0000-0003-4711-5000
Klaus H KaestnerInstitute of Diabetes, Obesity, and Metabolism, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA, USA. kaestner@upenn.edu.ORCID http://orcid.org/0000-0002-1228-021X
Dana AvrahamiDepartment of Developmental Biology and Cancer Research, The Hebrew University Hadassah Medical School, Jerusalem, Israel. dana.tzfati@mail.huji.ac.il.ORCID http://orcid.org/0000-0002-2910-2452

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 874710Israel Science Foundation (ISF) 1782/18United States - Israel Binational Science Foundation (BSF) 2019314U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) U01-DK-123594U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) U01-DK-134995
6 · The paper itself

Abstract

Although the prevalence of type 2 diabetes (T2D) increases with age, most adults maintain normoglycaemia despite rising insulin resistance owing to the adaptive capacity of pancreatic beta cells to meet increased metabolic demand. However, persistent insulin resistance can lead to beta cell dysfunction and T2D onset. Here we show the mapping of genome-wide DNA methylation (DNAm) patterns and the epigenomic basis of beta cell adaptations by leveraging cell-type-specific methylome data from the Human Pancreas Analysis Program. In healthy donors, we identify progressive age-related demethylation enriched in cis-regulatory elements at beta cell identity and function genes. By contrast, alpha cells show the opposite trajectory, with subtle, age-related hypermethylation. In T2D beta cells, but not alpha cells, we observed further demethylation compared to healthy controls, underscoring a unique capacity of beta cells to respond to changes in metabolic demand. Together, our findings suggest that DNAm remodelling in healthy beta cells reflects a long-term adaptation to metabolic demand, which, in T2D, is accelerated as part of a compensatory response that ultimately fails under sustained insulin resistance.

Indexed as

Adaptation, PhysiologicalDiabetes Mellitus, Type 2Epigenesis, GeneticInsulin-Secreting CellsLongevityAgingDNA MethylationHumansInsulin Resistance

Identifiers

PMID42032110
PMCPMC13121019

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.