Evidence map›Paper›PMID 42229582›Full record

ArticleMolecular metabolism2026

Temporal single-cell transcriptional dynamics of murine pancreatic islet remodeling during hyperglycaemia progression.

Simran Singh, Musale Krushna Pavan, Luiz F Barella, Jayesh Telang, Ajita Shree, Shruti Agarwal, Ayush Goel, Saahiba Thaleshwari, Jürgen Wess, Hamim Zafar and 1 more

Abstract read
In one paragraph

Article in Molecular metabolism, 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

5 · Who and what money

Authors and funding

11 authors.

Simran SinghMolecular Metabolism & Cell signaling lab, Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, UP 208016, India.
Musale Krushna PavanDepartment of Computer Science & Engineering, Indian Institute of Technology Kanpur, UP 208016, India.
Luiz F BarellaMolecular Signalling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA.
Jayesh TelangMolecular Metabolism & Cell signaling lab, Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, UP 208016, India.
Ajita ShreeDepartment of Computer Science & Engineering, Indian Institute of Technology Kanpur, UP 208016, India.
Shruti AgarwalMolecular Metabolism & Cell signaling lab, Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, UP 208016, India; CoSmic Lab, Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, UP 208016, India.
Ayush GoelCoSmic Lab, Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, UP 208016, India.
Saahiba ThaleshwariMolecular Metabolism & Cell signaling lab, Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, UP 208016, India.
Jürgen WessMolecular Signalling Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA. Electronic address: jurgenw@niddk.nih.gov.
Hamim ZafarCoSmic Lab, Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, UP 208016, India; Department of Computer Science & Engineering, Indian Institute of Technology Kanpur, UP 208016, India; Mehta Family Centre for Engineering and Medicine, Indian Institute of Technology Kanpur, UP 208016, India. Electronic address: hamim@iitk.ac.in.
Sai Prasad PydiMolecular Metabolism & Cell signaling lab, Department of Biological Sciences & Bioengineering, Indian Institute of Technology Kanpur, UP 208016, India; Mehta Family Centre for Engineering and Medicine, Indian Institute of Technology Kanpur, UP 208016, India; Gangwal School of Medical Sciences and Technology, Indian Institute of Technology Kanpur, UP 208016, India. Electronic address: pydi@iitk.ac.in.

Funding

The Human Pancreas Analysis Program for Type 2 DiabetesU01DK123594 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Robert Babak Faryabi, KLAUS H KAESTNER · 2019 to 2026
$25.0M
Penn integrated Human Pancreas procurement and Analysis ProgramUC4DK112217 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BETTS, MICHAEL R, FELDMAN, MICHAEL D · 2016 to 2020
$17.8M
Supplement to Integrated Program for Human Pancreas Procurement and AnalysisUC4DK112232 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ATKINSON, MARK A., POWERS, ALVIN C · 2016 to 2020
$8.4M
Human Pancreas Analysis Program-T2DU01DK123716 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ATKINSON, MARK A., BOTTINO, RITA · 2019 to 2024
$6.6M
NIDDK NIH HHS U01 DK123594NIDDK NIH HHS U01 DK123716NIDDK NIH HHS UC4 DK112217NIDDK NIH HHS UC4 DK112232Wellcome Trust
6 · The paper itself

Abstract

Pancreatic islets undergo coordinated cellular remodeling during obesity-induced insulin resistance. However, longitudinal changes across endocrine and non-endocrine compartments remain largely unexplored. We present a comprehensive high-resolution atlas using longitudinal single-cell RNA sequencing (scRNA-seq) and single-cell ATAC sequencing (scATAC-seq) on islets from C57BL/6 mice subjected to high-fat diet (HFD) feeding for 8, 16, and 24 weeks, along with age-matched controls on regular chow (RC). We mapped dynamic changes in islet cell composition and transcriptional states. Trajectory inference indicated diversification of beta-cell programs into adaptive and inflammatory states under HFD. Progression of insulin resistance induced shrinkage and transcriptional remodeling of glucagon-secreting alpha-cells, marked by upregulation of genes related to intracellular transport and oxidative stress, accompanied by the emergence of a polyhormonal alpha-cell subpopulation. Similarly, we identified delta-cell subpopulations exhibiting beta-like transcriptional signatures and polyhormonal identity under nutritional stress, suggesting adaptive delta-cell plasticity that may partially compensate for beta-cell loss during insulin resistance. The islet microenvironment exhibited robust expansion of proinflammatory M1 macrophages, reaching a plateau by 16 weeks of HFD, indicating niche saturation. Cell-cell communication analyses revealed disruption of key signaling pathways within endocrine and between endocrine and non-endocrine cells under HFD conditions. Notably, CCL27a-chemokine receptor signaling between beta-cells and M1 macrophages was significantly reduced in HFD islets, likely driven by reduced Ccl27a expression and chromatin accessibility in a distinct beta cell subpopulation, which we further validated using INS-1 cells exposed to HFD-like conditions. Comparative analysis with scRNA seq of human islets confirmed conserved stress signatures. Furthermore, genetic variants at the CCL27 locus were associated with increased T2D risk and HOMA-IR in human populations, establishing a novel link between beta-cell stress and systemic inflammation. This resource provides a hierarchical framework for understanding islet failure and identifies potential therapeutic nodes for type 2 diabetes.

Indexed as

HyperglycemiaIslets of LangerhansAnimalsDiet, High-FatDisease ProgressionGlucagon-Secreting CellsInsulin ResistanceInsulin-Secreting CellsMaleMiceMice, Inbred C57BLSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTranscription, GeneticCell–cell communicationInsulin resistancePancreatic isletsSingle-cell ATAC-sequencingSingle-cell RNA-sequencingType 2 diabetes

Identifiers

PMID42229582
PMCPMC13319949

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.