Evidence map›Paper›PMID 41933205›Full record

ArticleInternational journal of obesity (2005)2026

γδ T cell exhaustion is associated with obesity in individuals with type 2 diabetes.

Ke Li, Guichao Liu, Guojun Zhang, Eying Lu, Ping Li, Peng Li

Abstract read
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Article in International journal of obesity (2005), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Ke Li *Department of Geriatric Medicine, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China.
Guichao Liu *Department of Radiation Oncology, The First People's Hospital (Foshan Hospital Affiliated to Southern University of Science and Technology), School of Medicine, Southern University of Science and Technology, Foshan, Guangdong, China.
Guojun ZhangDepartment of clinical nutrition, Hospital of Southern University of Science and Technology, Shenzhen, China.
Eying LuDepartment of Infectious Disease, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, China.
Ping LiDepartment of Endocrinology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, China. liqiqi201210@163.com.ORCID 0009-0002-3476-145X
Peng LiInstitute of Cell and Gene Technology, Shenzhen University of Advanced Technology, Shenzhen, China. pengli1991@jnu.edu.cn.ORCID 0000-0001-5518-9822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a major factor driving immune exhaustion in adaptive immune cells, yet its effect on the exhaustion of peripheral circulating innate γδ T cells in individuals with type 2 diabetes (T2D) remains poorly understood. In this study, we recruited 54 individuals with clinically diagnosed T2D and 30 age- and sex-matched healthy donors. We assessed peripheral blood immune cell phenotypes using flow cytometry. Compared with healthy controls, individuals with T2D showed a significant reduction in the proportion of circulating innate-like γδ T cells. Furthermore, exhaustion markers, including PD-1, Tim-3, and TIGIT, were markedly elevated on γδ T cells from T2D participants. Importantly, obesity positively correlated with the co-expression of PD-1 and TIGIT, as well as PD-1 and Tim-3, on γδ T cells. Together, these findings indicate that obesity may exacerbate the exhaustion of circulating γδ T cells in T2D, highlighting a potential link between metabolic dysregulation and innate immune dysfunction.

Indexed as

Diabetes Mellitus, Type 2ObesityReceptors, Antigen, T-Cell, gamma-deltaT-LymphocytesAdultFemaleFlow CytometryHumansImmunity, InnateMaleMiddle AgedT-Cell ExhaustionReceptors, Antigen, T-Cell, gamma-delta

Identifiers

What Socratic holds

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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 Socratic graph.