Evidence map›Paper›PMID 40330891›Full record

ArticleiScience2025

The role of Tim-3+T cell subsets in the peripheral blood of patients with COVID-19 and diabetes.

Wenjun Luo, Mingjiu Zhao, Mengyao Gu, Jiaqi Huang, Shiyao Wu, Bin Zhao

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Wenjun LuoNational Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Mingjiu ZhaoNational Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Mengyao GuNational Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Jiaqi HuangNational Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Shiyao WuDepartment of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Bin ZhaoNational Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corona Virus Disease 2019 (COVID-19) and diabetes interact to influence disease severity, yet their combined immunological characteristics remain unclear. Here, we analyzed Tim-3+ T cells in patients with COVID-19, Type 1 Diabetes (T1D), or both conditions. COVID-19 reduced peripheral T cell subsets but increased Tim-3+ cells, while T1D and COVID-19 with T1D showed the opposite pattern. Patients with Type 2 Diabetes (T2D) exhibited no significant alterations. In human samples and mouse models, Tim-3+ T cells demonstrated impaired activation and cytokine production. RNA-seq analysis in mice and RT-PCR analysis in human samples together identified the dysregulation of the JAK-STAT pathway in Tim-3+ T cells. These findings highlight Tim-3-mediated JAK-STAT dysregulation in T-cells as a potential mechanism linking COVID-19 and T1D, offering insights for therapeutic targeting.

Indexed as

DiseaseImmune responseImmunology

Identifiers

PMID40330891
PMCPMC12053769

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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.