Evidence map›Paper›PMID 41875135›Full record

ArticleCell reports2026

Spatial transcriptomics from pancreas and local draining lymph node tissue reveals a lymphotoxin-β signature in human type 1 diabetes.

Miguel A Medina-Serpas, Maigan Brusko, Gregory J Golden, Martha Campbell-Thompson, Trevor Rogers, Shay Reardon, Amanda L Posgai, Rhonda Bacher, Eline T Luning Prak, Chengyang Liu and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Aberrant immune regulation and enrichment of stem-like CD8bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Miguel A Medina-SerpasDiabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Maigan BruskoDiabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Gregory J GoldenDepartment of Microbiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA; Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA.
Martha Campbell-ThompsonDiabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Trevor RogersDiabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Shay ReardonDepartment of Computer Information Science and Engineering, University of Florida, Gainesville, FL, USA.
Amanda L PosgaiDiabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Rhonda BacherDiabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Biostatistics, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Eline T Luning PrakInstitute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Chengyang LiuDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA; Department of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA.
Klaus H KaestnerDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA.
Ali NajiDepartment of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA.
Michael R BettsDepartment of Microbiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA; Institute for Immunology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA.
Lauren M McIntyreDepartment of Biostatistics, College of Medicine, University of Florida, Gainesville, FL 32610, USA; Department of Molecular Genetics and Microbiology, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Mark A AtkinsonDiabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA; Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Todd M BruskoDiabetes Institute, University of Florida, Gainesville, FL 32610, USA; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA; Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL 32610, USA; Department of Biochemistry and Molecular Biology, College of Medicine, University of Florida, Gainesville, FL 32610, USA. Electronic address: tbrusko@ufl.edu.

Funding

Project 3P01AI042288 · NIAID · UNIVERSITY OF FLORIDA · 1997 to 2025
$11.1M
The Human Pancreas Analysis Program for Type 2 DiabetesU01DK123594 · NIDDK · UNIVERSITY OF PENNSYLVANIA · 2022 to 2025
$8.0M
Human Pancreas Analysis Program-T2DU01DK123716 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MARK A. ATKINSON, Rita Bottino · 2022 to 2022
$1.1M
Understanding pancreatic endocrine and exocrine loss in pre-type 1 diabetesR01DK123329 · NIDDK · UNIVERSITY OF FLORIDA · PI MARTHA CAMPBELL-THOMPSON, MICHAEL JAMES HALLER · 2023 to 2023
$641k
Resolving single-cell analysis challenges via data-driven decision frameworks and novel statistical methodsR35GM146895 · UNIVERSITY OF FLORIDA · 2025 to 2025
$371k
Interdisciplinary Graduate Program in Type 1 Diabetes and Biomedical EngineeringT32DK108736 · UNIVERSITY OF FLORIDA · 2025 to 2025
$243k
NIAID NIH HHS P01 AI042288NIDDK NIH HHS R01 DK123329NIDDK NIH HHS T32 DK108736NIDDK NIH HHS U01 DK123594NIDDK NIH HHS U01 DK123716NIDDK NIH HHS UC4 DK112217NIDDK NIH HHS UC4 DK112232NIGMS NIH HHS R35 GM146895
6 · The paper itself

Abstract

This study explores the inflammatory response observed in the pancreas and pancreatic lymph nodes (pLNs) during the natural history of type 1 diabetes (T1D). Using multicell-resolution spatial transcriptomics (ST), we profile individuals without diabetes (ND), at-risk autoantibody-positive (AAb+) individuals, and T1D donors. In the T1D pancreas, we observed global upregulation of inflammation-associated transcripts, including REG family genes, C3, SOD2, and OLFM4. In the T1D pLN, LTB was significantly upregulated within the lymphoid follicles. Using an orthogonal subcellular-resolution ST platform on an independent donor set, we identified follicular B cells as the primary source of LTB in the pLN and observed increased LTB expression in lymphocytes in insulitic lesions proximal to CCL19/CCL21-expressing endothelium. Collectively, these findings highlight lymphotoxin-β and downstream chemokine signatures in the pancreatic lymphatics as well as within the insulitic lesion, which can inform future therapeutic interventions.

Indexed as

autoantibodiesautoimmunityCP: immunologyCP: metabolismhumanislet cellslymph nodelymphotoxin-βpancreasspatial transcriptomicstype 1 diabetes

Identifiers

PMID41875135
PMCPMC13202731

What Socratic 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 Socratic graph.