Evidence map›Paper›PMID 40095061›Full record

ArticleDiabetologia2025

Detection of enterovirus RNA in pancreas and lymphoid tissues of organ donors with type 1 diabetes.

Jutta E Laiho, Sami Oikarinen, Sofia Morfopoulou, Maarit Oikarinen, Ashlie Renner, Daniel Depledge, Matthew C Ross, Ivan C Gerling, Judith Breuer, Joseph F Petrosino and 6 more

Abstract read
In one paragraph

Article in Diabetologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Jutta E LaihoDepartment of Virology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. jutta.laiho@tuni.fi.ORCID http://orcid.org/0000-0002-5443-4651
Sami OikarinenDepartment of Virology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID http://orcid.org/0000-0003-3901-6774
Sofia MorfopoulouDepartment of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.ORCID http://orcid.org/0000-0001-8181-4548
Maarit OikarinenDepartment of Virology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID http://orcid.org/0000-0003-1329-1508
Ashlie RennerDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
Daniel DepledgeDepartment of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.ORCID http://orcid.org/0000-0002-4292-0599
Matthew C RossDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-7621-8829
Ivan C GerlingDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA.ORCID http://orcid.org/0000-0001-5097-6050
Judith BreuerDepartment of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.ORCID http://orcid.org/0000-0001-8246-0534
Joseph F PetrosinoDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-4046-6898
Vincent PlagnolGenomics PLC, Oxford, Oxfordshire, UK.ORCID http://orcid.org/0000-0002-5597-9215
Alberto PuglieseDepartment of Diabetes Immunology, Arthur Riggs Diabetes & Metabolism Research Institute, Beckmann Research Institute, City of Hope, Duarte, CA, USA.ORCID http://orcid.org/0000-0002-7211-0319
Antonio TonioloGlobal Virus Network, University of Insubria, Varese, Italy.ORCID http://orcid.org/0000-0003-3008-2126
Richard E LloydDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-6550-3237
Heikki HyötyDepartment of Virology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID http://orcid.org/0000-0003-0370-4145
nPOD-Virus Group

Funding

Translation Regulation by Enterovirus ProteinaseR01AI050237 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI LLOYD, RICHARD E · 2002 to 2022
$6.9M
Diabetestutkimussäätiö personal grant for JELEuropean Foundation for the Study of Diabetes 97013JDRF 25-2012-770JDRF JDRF 25-2012-516JDRF nPOD: 5-SRA-2018-557-Q-RLeona M. and Harry B. Helmsley Charitable Trust G-2108-04793Leona M. and Harry B. Helmsley Charitable Trust Grant#2018PG-T1D053National Institutes of Health, USA R01-AI50237network for Pancreatic Organ donors with Diabetes, nPOD RRID:SCR_014641NIAID NIH HHS R01 AI050237Päivikki ja Sakari Sohlbergin Säätiö MOPäivikki ja Sakari Sohlbergin Säätiö personal grants for JELPirkanmaan Rahasto personal grant for JELResearch Council of Finland 288671Seventh Framework Programme Persistent Virus Infection in Diabetes Network [PESigrid Juséliuksen Säätiö for HHYrjö Jahnssonin Säätiö MOYrjö Jahnssonin Säätiö personal grants for JEL
6 · The paper itself

Abstract

aims/hypothesisThe nPOD-Virus group collaboratively applied innovative technologies to detect and sequence viral RNA in pancreas and other tissues from organ donors with type 1 diabetes. These analyses involved the largest number of pancreas samples collected to date. The aim of the current work was to examine the presence of enterovirus RNA in pancreas and lymphoid tissues of organ donors with and without type 1 diabetes.

methodsWe analysed pancreas, spleen, pancreatic lymph nodes and duodenum samples from the following groups: (1) donors with type 1 diabetes (n=71) with (n=35) or without (n=36) insulin-containing islets; (2) donors with single or double islet autoantibody positivity without diabetes (n=22); and (3) autoantibody-negative donors without diabetes (control donors) (n=74). Five research laboratories participated in this collaborative effort using approaches for unbiased discovery of RNA viruses (two RNA-Seq platforms), targeted detection of Enterovirus A-D species using RT-PCR, and tests for virus growth in cell culture.

resultsDirect RNA-Seq did not detect virus signal in pancreas samples, whereas RT-PCR detected enterovirus RNA confirmed by sequencing in low amounts in pancreas samples in three of the five donor groups: donors with type 1 diabetes with insulin-containing islets, 16% (5/32) being positive; donors with single islet autoantibody positivity, 53% (8/15) being positive; and non-diabetic donors, 8% (4/49) being positive. Detection of enterovirus RNA was significantly more frequent in single islet autoantibody-positive donors compared with donors with type 1 diabetes with insulin-deficient islets (p<0.001) and control (non-diabetic) donors (p=0.004). In some donors, pancreatic lymph nodes were also positive. RT-PCR detected enterovirus RNA also in the spleen of a small number of donors and virus enrichment in susceptible cell lines before RT-PCR resulted in much higher rate in spleen positivity, particularly in donors with type 1 diabetes. Interestingly, the enterovirus strains detected did not cause a typical lytic infection, possibly reflecting their persistence-prone nature. CONCLUSIONS/

interpretationThis was the largest coordinated effort to examine the presence of enterovirus RNA in the pancreas of organ donors with type 1 diabetes, using a multitude of assays. These findings are consistent with the notion that donors with type 1 diabetes and donors with islet autoantibodies may carry a low-grade enterovirus infection in the pancreas and lymphoid tissues.

Indexed as

Diabetes Mellitus, Type 1EnterovirusLymphoid TissuePancreasRNA, ViralAdolescentAdultEnterovirus InfectionsFemaleHumansMaleMiddle AgedTissue DonorsYoung AdultRNA, ViralEnterovirusIslet autoimmunityLymph nodesOrgan donorsPancreasPersistent infectionSpleenType 1 diabetes

Identifiers

PMID40095061
PMCPMC12069483

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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.