IL‐10‐ and IL‐13‐Biased T Cell Responses to SARS‐CoV‐2 Vaccination in Diabetes

Type 1 and type 2 diabetes are associated with increased severity and mortality from respiratory virus infections. Vaccination in the general population significantly reduces the risk of severe respiratory viral infection and triggers a strong, polyfunctional, and lasting T cell response in healthy individuals. However, vaccine effectiveness in people with type 1 diabetes is unclear. Here, we studied the magnitude and functional characteristics of vaccine-specific CD4<sup>+</sup> and CD8<sup>+</sup> T cell responses to vaccination in people with type 1 and type 2 diabetes and compared them to those of people living without diabetes, using the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine as a model. We found defects in both CD4<sup>+</sup> and CD8<sup>+</sup> T cell memory maintenance and the functionality of the vaccine-specific T cells in people with diabetes compared with people without. In those individuals with type 1 and type 2 diabetes who harbored detectable vaccine-specific T cells, they displayed an unfocused, tolerogenic phenotype characterized by increased expression of IL-10 and IL-13 compared with people without diabetes. These results have implications for vaccination strategies for people with diabetes.

Authors

Institutions

Publication Details

Journal
European Journal of Immunology
Published
2025-12-01
DOI
https://doi.org/10.1002/eji.70112
Citations
1
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
1.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IL‐10‐ and IL‐13‐Biased T Cell Responses to SARS‐CoV‐2 Vaccination in Diabetes

Margarita Dominguez‐Villar, Peter Schlenke, Martin Stradner, Michael Fertleman et al.
1 citations
European Journal of Immunology
Diabetes and associated disorders
1.82
article

IL‐10‐ and IL‐13‐Biased T Cell Responses to SARS‐CoV‐2 Vaccination in Diabetes

Margarita Dominguez‐Villar, Peter Schlenke, Martin Stradner, Michael Fertleman, Emma Jones, Graham P. Taylor, Harald Sourij, Othmar Moser, Rachael Quinlan, Caren Sourij, Charlotte‐Eve Short, Nick S. Oliver, Benjamin Harris, Nazanin Sereban
article en
1 citations

Abstract

Type 1 and type 2 diabetes are associated with increased severity and mortality from respiratory virus infections. Vaccination in the general population significantly reduces the risk of severe respiratory viral infection and triggers a strong, polyfunctional, and lasting T cell response in healthy individuals. However, vaccine effectiveness in people with type 1 diabetes is unclear. Here, we studied the magnitude and functional characteristics of vaccine-specific CD4<sup>+</sup> and CD8<sup>+</sup> T cell responses to vaccination in people with type 1 and type 2 diabetes and compared them to those of people living without diabetes, using the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine as a model. We found defects in both CD4<sup>+</sup> and CD8<sup>+</sup> T cell memory maintenance and the functionality of the vaccine-specific T cells in people with diabetes compared with people without. In those individuals with type 1 and type 2 diabetes who harbored detectable vaccine-specific T cells, they displayed an unfocused, tolerogenic phenotype characterized by increased expression of IL-10 and IL-13 compared with people without diabetes. These results have implications for vaccination strategies for people with diabetes.

European Journal of ImmunologyVol. 55(12)
Medical University of Graz (AT), Imperial College London (GB), University of Bayreuth (DE)
Openalex Percentile: Top 11%
Diabetes and associated disorders
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.