Evidence map›Paper›PMID 42012684›Full record

ArticleDiabetologia2026

Beta cell microRNAs function as molecular hubs of type 1 diabetes pathogenesis and as biomarkers of diabetes risk.

Farooq Syed, Preethi Krishnan, Garrick Chang, Jyoti Rana, Sarah R Langlais, Sumon Hati, Kentaro Yamada, Anh K Lam, Sayali Talware, Jacqueline Del Carmen Aquino and 6 more

Abstract read
In one paragraph

Article in Diabetologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Farooq SyedDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA. fsyed@coh.org.ORCID http://orcid.org/0000-0002-0284-0631
Preethi KrishnanHerman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0001-6957-385X
Garrick ChangDepartment of Physics, Indiana University Indianapolis, Indianapolis, IN, USA.ORCID http://orcid.org/0009-0007-0741-7588
Jyoti RanaDepartment of Diabetes-Immunology, Arthur Riggs Diabetes & Metabolism Research Institute, City of Hope, Duarte, CA, USA.ORCID http://orcid.org/0000-0001-9683-4592
Sarah R LanglaisDepartment of Chemistry and Chemical Biology, Indiana University Indianapolis, Indianapolis, IN, USA.ORCID http://orcid.org/0009-0000-9673-847X
Sumon HatiDepartment of Chemistry and Chemical Biology, Indiana University Indianapolis, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-4165-8314
Kentaro YamadaDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID http://orcid.org/0009-0003-3132-7604
Anh K LamDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-8830-9349
Sayali TalwareSchool for Informatics and Computer, Indiana University Indianapolis, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-1693-9413
Jacqueline Del Carmen AquinoCenter for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID http://orcid.org/0009-0006-9818-1832
Eli HagedornDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0001-7686-062X
Xiaowen LiuDeming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.ORCID http://orcid.org/0000-0003-4139-1127
Rajesh SardarDepartment of Chemistry and Chemical Biology, Indiana University Indianapolis, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0001-9680-1301
Jing LiuDepartment of Physics and Astronomy, Purdue University, West Lafayette, IN, USA.ORCID http://orcid.org/0000-0002-4912-4560
Raghavendra G MirmiraKovler Diabetes Center, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-5013-6075
Carmella Evans-MolinaDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA. cevansmo@iu.edu.ORCID http://orcid.org/0000-0001-7764-8663

Funding

NIDDK Network Coordinating UnitU24DK097771 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Shuibing Chen, Jeffrey S. Grethe · 2013 to 2026
$20.9M
Integrated Islet Distribution Program (U24) - 2021U24DK098085 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI Carmella Evans-Molina, Joyce Carol Niland · 2021 to 2026
$17.8M
Translation CoreP30DK097512 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Carmella Evans-Molina · 2015 to 2026
$17.4M
The Integrated Stress Response in Human Islets During Early T1DU01DK127786 · NIDDK · UNIVERSITY OF CHICAGO · PI EVANS-MOLINA, CARMELLA, MIRMIRA, RAGHAVENDRA G · 2020 to 2025
$7.1M
Biomarkers Of Beta Cell Stress In Type 1 Diabetes (BetaMarker)UC4DK104166 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EIZIRIK, DECIO LAKS, EVANS-MOLINA, CARMELLA · 2014 to 2014
$2.4M
β cell miRNAs Function as Molecular Hubs of Type 1 Diabetes PathogenesisR01DK127308 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EVANS-MOLINA, CARMELLA · 2021 to 2024
$1.7M
JDRF 2-SRA-2018-493-A-BJDRF 2-SRA-2019-834-S-BJDRF 3-PDF-20016-199-A-NJDRF 5-CDA-2022-1176-A-NLeona M. and Harry B. Helmsley Charitable Trust 2018PG-T1D053Leona M. and Harry B. Helmsley Charitable Trust G-2108-04793National Science Foundation CBET-2204681NIDDK NIH HHS DK060581NIDDK NIH HHS DK093954NIDDK NIH HHS DK127308NIDDK NIH HHS P30DK097512NIDDK NIH HHS R01 DK127308NIDDK NIH HHS U01 DK127786NIDDK NIH HHS U01DK127786NIDDK NIH HHS U24DK097771NIDDK NIH HHS U24 DK098085NIDDK NIH HHS UC4DK104166U.S. Department of Veterans Affairs I01BX001733
6 · The paper itself

Abstract

aims/hypothesisClinically actionable biomarkers that accurately reflect the health status of the beta cell are needed to improve risk stratification and optimise the timing of interventions in type 1 diabetes. We hypothesised that inflammatory stress elicits a reproducible microRNA (miRNA) program in human islets and islet-derived extracellular vesicles (EVs) that can be detected in plasma EVs to stratify diabetes risk, while also providing insight into molecular pathways linked to beta cell dysfunction.

methodsHuman islets were exposed to IL-1β+IFN-γ, and small RNA-seq was performed on islets and islet-derived EVs. Differentially expressed miRNAs were validated in islets, using RT-PCR, in plasma-derived EVs from individuals with autoantibody positivity (AAb

resultsInflammatory cytokine exposure altered a restricted subset of miRNAs, identifying 20 differentially expressed miRNAs in islets and 14 in islet-derived EVs. Only two miRNAs, miR-155-5p and miR-146a-5p, were concordantly upregulated in both compartments. Machine learning prioritised an EV miRNA panel for translational validation, and custom LSPR biosensors enabled quantification of these miRNAs in plasma EVs. This plasma EV miRNA signature, consisting of miR-155-5p, miR-146a-5p, miR-30c-1-3p, miR-802 and miR-124-3p, differentiated individuals with AAb CONCLUSIONS/

interpretationUsing an organ-based model system of inflammatory stress, we validated a signature of EV-associated miRNAs capable of stratifying type 1 diabetes risk. Furthermore, we provided new mechanistic and imaging insights into miRNA expression patterns in pancreatic sections from human organ donors with type 1 diabetes or AAb DATA AVAILABILITY: The data from small RNA sequencig of human islets and islet-derived EVs have been deposited in the GEO database (accession no. GSE160391).

Indexed as

BiomarkersDiabetes Mellitus, Type 1Insulin-Secreting CellsMicroRNAsAdultAnimalsExtracellular VesiclesFemaleHumansIslets of LangerhansMaleMiceMice, Inbred NODBiomarkersMicroRNAsMIRN155 microRNA, humanBeta cellBiomarkersExtracellular vesiclesLocalised surface plasmon resonancemicroRNAType 1 diabetes

Identifiers

PMID42012684
PMCPMC13236762

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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 OpenQuestion graph.