Evidence map›Paper›PMID 41399529›Full record

ArticleJournal of inflammation research2025

Interleukin-27 and Interleukin-2 Cooperatively Regulate CD4⁺ T Cell Subsets and Immune Imbalance in Coronary Artery Disease.

Yifan Cai, Hongxia Tang, Wenwen Tang, Wenjuan Tang, Wenbin Xu, Yue Wang, Yan Ding, Jian Yu, Chengliang Pan, Zhiyang Li and 5 more

Abstract read
In one paragraph

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

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

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

15 authors.

Yifan Cai *Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.ORCID 0000-0002-3467-288X
Hongxia Tang *Department of Rheumatology and Immunology, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, People's Republic of China.ORCID 0000-0003-3386-1854
Wenwen Tang *Cardiovascular Department, Wuhan No.9 Hospital, Wuhan, Hubei, People's Republic of China.
Wenjuan TangRadiology Department, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Wenbin XuDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Yue WangDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Yan DingDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Jian YuDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Chengliang PanDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Zhiyang LiDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Yudong PengDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Ruirui ZhuDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Kunwu YuDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Qiutang ZengDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Yucheng ZhongDepartment of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.ORCID 0000-0001-6081-3327

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary artery disease (CAD) is an immune-mediated disorder driven by dysregulated T cell responses. Interleukin-27 (IL-27) has immunoregulatory properties, but its role in CAD remains unclear. This study is the first to investigate the effects of IL-27 on CD4⁺LAP⁺ T cells in CAD and to explore its interaction with interleukin-2 (IL-2) in modulating immune imbalance. Methods: CAD severity was quantified by the Gensini score. Plasma IL-27 and oxidized low-density lipoprotein (ox-LDL) were measured by ELISA. Flow cytometry assessed CD4⁺ T cell subsets, while qRT-PCR and Western blot evaluated lineage-specific transcription factors. Results: IL-27 levels were elevated in acute coronary syndrome and correlated with ox-LDL and Gensini scores. Patients with severe CAD showed a Th1/Th17-dominant profile and reductions in Th2, CD4⁺LAP⁺, and Tregs. In vitro, IL-27 promoted Th1 differentiation via T-bet/IFN-γ upregulation and suppressed Th2, Th17, and regulatory subsets, counteracting IL-2-induced expansion of Tregs and CD4⁺LAP⁺ cells. These effects were dose dependent and favored pro-inflammatory responses. Conclusion: IL-27 drives immune imbalance in CAD by reinforcing Th1 polarization and antagonizing IL-2-mediated regulation. Beyond mechanistic insights, these findings identify IL-27 as a potential biomarker for disease severity and a candidate therapeutic target in CAD.

Indexed as

coronary artery diseaseIL-27Th17/CD4+LAP+ T cellsTh1/Th2

Identifiers

PMID41399529
PMCPMC12702266

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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.