Evidence map›Paper›PMID 40475580›Full record

ArticlebioRxiv : the preprint server for biology2025

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, Amanda L Posgai, Eline T Luning Prak, Chengyang Liu, Klaus H Kaestner, Ali Naji and 4 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

14 authors.

Miguel A Medina-SerpasDiabetes Institute, University of Florida, Gainesville, FL 32610, USA.ORCID 0000-0003-0532-5413
Maigan BruskoDiabetes Institute, University of Florida, Gainesville, FL 32610, USA.
Gregory J GoldenDepartment of Microbiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA.
Martha Campbell-ThompsonDepartment 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.
Amanda L PosgaiDiabetes Institute, University of Florida, Gainesville, FL 32610, USA.
Eline T Luning PrakInstitute for Immunology, University of Pennsylvania, Perelman School of Medicine, 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.
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.
Lauren M McIntyreDepartment of Biostatistics, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Mark A AtkinsonDiabetes Institute, University of Florida, Gainesville, FL 32610, USA.
Todd M BruskoDiabetes Institute, University of Florida, Gainesville, FL 32610, USA.

Funding

Project 3P01AI042288 · NIAID · UNIVERSITY OF FLORIDA · PI Patrick Concannon · 1997 to 2026
$32.9M
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
Understanding pancreatic endocrine and exocrine loss in pre-type 1 diabetesR01DK123329 · NIDDK · UNIVERSITY OF FLORIDA · PI CAMPBELL-THOMPSON, MARTHA, HALLER, MICHAEL JAMES · 2020 to 2024
$2.6M
Interdisciplinary Graduate Program in Type 1 Diabetes and Biomedical EngineeringT32DK108736 · NIDDK · UNIVERSITY OF FLORIDA · PI MARK A. ATKINSON, Benjamin George Keselowsky · 2017 to 2026
$1.9M
Resolving single-cell analysis challenges via data-driven decision frameworks and novel statistical methodsR35GM146895 · NIGMS · UNIVERSITY OF FLORIDA · PI Rhonda Bacher · 2022 to 2026
$1.9M
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 pancreata and pancreatic lymph node (pLN) samples obtained throughout the natural history of type 1 diabetes (T1D) including non-diabetic individuals and non-diabetic autoantibody positive individuals with high susceptibility using spatial transcriptomics (ST). Integration of ST with public single-cell RNA sequencing data enabled interrogation of transcriptional alterations in T1D pathogenesis across both tissues and cellular scales. In the T1D pancreas, we observed global upregulation of multiple inflammation-associated transcripts, including regenerating islet-derived (

Indexed as

autoantibodiesautoimmunityhumanislet cellslymph nodelymphotoxin-βpancreasspatial transcriptomicsType 1 diabetes

Identifiers

PMID40475580
PMCPMC12139852

What Socratic 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 Socratic graph.