Evidence mapPaperPMID 38410592Full record

ArticleJournal of thoracic disease2024

Association between regulatory T cells and ischemic heart disease: a Mendelian randomization study.

Yucheng Hou, Ke Si, Jingyue Yang, Tan Liu, Basel Abdelazeem, Nonthikorn Theerasuwipakorn, Jingwei Zhao, Zhenya Shen

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 5 institutions in 3 countries.

Yucheng Hou *Department of Cardiovascular Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ke Si *Department of Cardiovascular Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jingyue YangDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Tan LiuDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Basel AbdelazeemDepartment of Cardiology, West Virginia University, Morgantown, WV, USA.
Nonthikorn TheerasuwipakornDivision of Cardiovascular Medicine, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Jingwei ZhaoDepartment of General Surgery, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine & Shanghai Key Laboratory of Biliary Tract Disease Research, Shanghai, China.
Zhenya ShenDepartment of Cardiovascular Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
Soochow University · CNFirst Affiliated Hospital of Soochow University · CNChulalongkorn University · THWest Virginia University · USXinHua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An imbalance of innate and acquired immune responses is significantly involved in the pathophysiology of coronary atherosclerosis and the occurrence of ischemic heart disease (IHD). Regulatory T cells (Tregs) play an essential regulatory role in atherosclerotic plaque formation and maintenance; therefore, dysfunction of Tregs triggers the formation of atherosclerotic plaques and accelerates their progression. However, due to the inherent limitations of observational research, clinical evidence is limited concerning the relationship between the variation in peripheral Tregs and the risk of IHD, and the cause-and-effect relationship between these factors is unclear. Mendelian randomization (MR) uses genetic variation as a proxy for exposure and can be used to inferentially determine the causal effect of exposure on outcomes. We thus used MR analysis to investigate whether there is a causal relationship between the biomarkers of Tregs and IHD. Methods: Selected genetic variants (P<5.00E-08) from the summary data of a genome-wide association study (GWAS) were used to conduct a two-sample bidirectional MR analysis. The analysis included 51 extensive Treg subtypes involving 3,757 individuals from the general population. Summary statistics of IHD were obtained from the IEU open GWAS project, which contains 30,952 cases and 187,845 controls. The populations in both GWAS studies were of European ancestry. Results: We identified a set of 197 single-nucleotide polymorphisms (SNPs) that served as instrumental variables (IVs) for evaluating 51 Treg subtypes. Thirteen significant variables were found to be potentially associated with IHD. After false-discovery rate (FDR) adjustment, we identified four Treg subtypes to be causally protective for IHD risk: CD28 on activated & secreting CD4 Tregs [odds ratio (OR) =0.89; 95% confidence interval (CI): 0.82-0.96; P=3.10E-03; adjusted P=0.04], CD28 on activated CD4 Tregs (OR =0.87; 95% CI: 0.80-0.95; P=3.10E-03; adjusted P=0.04), CD28 on CD4 Tregs (OR =0.87; 95% CI: 0.80-0.96; P=3.41E-03; adjusted P=0.04), and CD28 on resting CD4 Treg cell (OR =0.91; 95% CI: 0.85-0.97; P=3.48E-03; adjusted P=0.04). Reverse MR analysis found eight potential causal variables, but these associations were nonsignificant after FDR correction (all adjusted P values >0.05). Conclusions: This study identified the significance of elevated CD28 expression on CD4 Tregs as a novel molecular modifier that may influence IHD occurrence, suggesting that targeting CD28 expression on CD4 Tregs could offer a promising therapeutic approach for IHD.

Indexed as

causal inferenceIschemic heart disease (IHD)Mendelian randomization study (MR study)regulatory T cells (Tregs)

Identifiers

PMID38410592
PMCPMC10894418
OpenAlexW4391364249

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.