Evidence map›Paper›PMID 39083653›Full record

ArticleDiabetes2024

No Evidence for Persistent Enteroviral B Infection of Pancreatic Islets in Patients With Type 1 Diabetes and Prediabetes From RNA Sequencing Data.

Elisabetta Manduchi, Hélène C Descamps, Jonathan Schug, Tong Da, Deeksha Lahori, Hilana El-Mekkoussi, Michael R Betts, Klaus H Kaestner

Abstract read
In one paragraph

Article in Diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. IFN-α Induces Heterogenous ROS Production in Human β-Cells.bioRxiv : the preprint server for biology · 2025
    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

8 authors.

Elisabetta ManduchiDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Hélène C DescampsDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Jonathan SchugDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Tong DaDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Deeksha LahoriDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Hilana El-MekkoussiDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Michael R BettsDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Klaus H KaestnerDepartment of Genetics and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-1228-021X

Funding

VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI DOUGLAS J EPSTEIN · 1986 to 2026
$48.3M
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
Human Islet Research Network SCR_014393Human Pancreas Analysis Program SCR_016202NIDDK NIH HHS P30 DK019525NIDDK NIH HHS U01 DK123594NIDDK NIH HHS U01 DK123716NIDDK NIH HHS UC4 DK112217NIDDK NIH HHS UC4 DK112232
6 · The paper itself

Abstract

Persistent enterovirus B infection has been proposed as an important contributor to the etiology of type 1 diabetes. We leveraged extensive bulk RNA-sequencing (RNA-seq) data from α-, β-, and exocrine cells, as well as islet single-cell RNA-seq data from the Human Pancreas Analysis Program (HPAP), to evaluate the presence of enterovirus B sequences in the pancreas of patients with type 1 diabetes and prediabetes (no diabetes but positive for autoantibodies). We examined all available HPAP data for either assay type, including donors without diabetes and with type 1 and type 2 diabetes. To assess the presence of viral reads, we analyzed all reads not mapping to the human genome with the taxonomic classification system Kraken2 and its full viral database augmented to encompass representatives for all 28 enterovirus B serotypes for which a complete genome is available. As a secondary approach, we input the same sequence reads into the STAR aligner using these 28 enterovirus B genomes as the reference. No enterovirus B sequences were detected by either approach in any of the 243 bulk RNA libraries or in any of the 79 single-cell RNA libraries. While we cannot rule out the possibility of a very-low-grade persistent enterovirus B infection in the donors analyzed, our data do not support the notion of chronic viral infection by these viruses as a major driver of type 1 diabetes. ARTICLE HIGHLIGHTS:

Indexed as

Diabetes Mellitus, Type 1Enterovirus B, HumanEnterovirus InfectionsIslets of LangerhansPrediabetic StateSequence Analysis, RNAAdultFemaleHumansMale

Identifiers

PMID39083653
PMCPMC11417435

What OpenQuestion holds

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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 OpenQuestion graph.