Evidence map›Paper›PMID 42393283›Full record

ArticleNature metabolism2026

Imaging mass cytometry reveals functional and immunological changes during type 1 diabetes progression in human pancreata.

Nathan Steenbuck, Nicolas Damond, Stefanie Engler, Irina Kusmartseva, Amanda L Posgai, Denise M Drotar, MacKenzie D Williams, Natalie de Souza, Todd M Brusko, Maigan A Brusko and 3 more

Abstract read
PubMed Full text at PMC Publisher
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 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. Article
  2. Article
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

13 authors.

Nathan Steenbuck *Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-2712-5359
Nicolas Damond *Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-3027-8989
Stefanie EnglerDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Irina KusmartsevaDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.ORCID http://orcid.org/0000-0003-2614-0813
Amanda L PosgaiDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-9491-0958
Denise M DrotarDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-8538-6875
MacKenzie D WilliamsDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.ORCID http://orcid.org/0000-0003-3473-2747
Natalie de SouzaDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-4286-8951
Todd M BruskoDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.ORCID http://orcid.org/0000-0003-2878-9296
Maigan A BruskoDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-4331-2202
Clive H WasserfallDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-3522-8932
Mark A AtkinsonDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA. atkinson@pathology.ufl.edu.ORCID http://orcid.org/0000-0001-8489-4782
Bernd BodenmillerDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland. bernd.bodenmiller@uzh.ch.ORCID http://orcid.org/0000-0002-6325-7861

Funding

Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) P01AI042288Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01DK123292Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01DK131059Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) U01DK135001NIDDK NIH HHS UC4 DK108132Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 316030_213512Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 40B2-0_203478
6 · The paper itself

Abstract

The pathogenesis of type 1 diabetes, particularly at autoantibody-positive preclinical stages, remains poorly understood, in part due to limited sample availability. Here we show imaging mass cytometry data of pancreas samples from 88 organ donors, including 28 single and 10 multiple autoantibody-positive donors. We imaged 16 million single-cells using 79 antibodies to characterize β-cell states and the islet-immune interface, correcting for relevant covariates. We identified interactions between pro-inflammatory macrophages and exhausted-like (PD1

Indexed as

Diabetes Mellitus, Type 1Image CytometryPancreasAdultAutoantibodiesDisease ProgressionFemaleHumansInsulin-Secreting CellsMacrophagesMaleAutoantibodies

Identifiers

PMID42393283
PMCPMC13400304

What Socratic holds

Textmetadata
LicenceCC BY
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.