Evidence map›Paper›PMID 41039608›Full record

ArticleGenome medicine2025

Identification of a PRDM1-regulated T cell network to regulate atherosclerotic plaque inflammation.

Han Jin, Sanne L Maas, Yuchi Zou, Chang Lu, Baixue Yu, Rosanna Huchzermeier, Samantha Nadeau, Jessica Dos Santos, Marion Gijbels, Barend M E Mees and 9 more

Abstract read
In one paragraph

Article in Genome medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Genetic factors contributing to atherosclerosis.Current opinion in cardiology · 2026
    Review
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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

19 authors.

Han Jin *Central Laboratory, Tianjin Medical University General Hospital, Tianjin, China.
Sanne L Maas *Department of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Yuchi ZouDepartment of Pathology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht UMC+, P. Debyelaan 25, Maastricht, HX, 6229, the Netherlands.
Chang LuDepartment of Pathology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht UMC+, P. Debyelaan 25, Maastricht, HX, 6229, the Netherlands.
Baixue YuDepartment of Pathology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht UMC+, P. Debyelaan 25, Maastricht, HX, 6229, the Netherlands.
Rosanna HuchzermeierDepartment of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Samantha NadeauDepartments of Medicine and Biomedical Sciences, David Geffen School of Medicine, Research Division of Immunology Cedars-Sinai Medical Center, University of California, Los Angeles, CA, USA.
Jessica Dos SantosDepartments of Medicine and Biomedical Sciences, David Geffen School of Medicine, Research Division of Immunology Cedars-Sinai Medical Center, University of California, Los Angeles, CA, USA.
Marion GijbelsDepartment of Pathology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht UMC+, P. Debyelaan 25, Maastricht, HX, 6229, the Netherlands.
Barend M E MeesDepartment of Vascular Surgery, Maastricht UMC+, Maastricht, the Netherlands.
Evgueni SmirnovDepartment of Data Science and Knowledge Engineering, Maastricht University, Maastricht, the Netherlands.
Ljubica MaticDivision of Vascular Surgery, Department of Molecular Medicine and Surgery, Karolinska Institutet and Karolinska University Hospital, Karolinska, Sweden.
Ulf HedinDivision of Vascular Surgery, Department of Molecular Medicine and Surgery, Karolinska Institutet and Karolinska University Hospital, Karolinska, Sweden.
Pasquale MaffiaSchool of Infection & Immunity, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Claudia MonacoNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK.
Judith C SluimerDepartment of Pathology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht UMC+, P. Debyelaan 25, Maastricht, HX, 6229, the Netherlands.
Gislâine A MartinsDepartments of Medicine and Biomedical Sciences, David Geffen School of Medicine, Research Division of Immunology Cedars-Sinai Medical Center, University of California, Los Angeles, CA, USA.
Emiel P C van der Vorst *Department of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, Germany. evandervorst@ukaachen.de.
Erik A L Biessen *Department of Pathology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht UMC+, P. Debyelaan 25, Maastricht, HX, 6229, the Netherlands. erik.biessen@mumc.nl.

Funding

British Heart Foundation PG/21/10541, PG/21/10634, PG/21/10557 and PG/24/11946China Scholarship Council 201609120004China Scholarship Council 201706990018China Scholarship Council 202106100042China Scholarship Council 202308500067European Research Area Network on Cardiovascular Diseases JTC-2017t100 AtheroMacHeteFondation Leducq 15CVD04Fritz Thyssen Stiftung 10.20.2.043MNHartstichting 2016T060Hjärt-Lungfonden 20241083, 20240094, 20210466, 20200621, 20200520, 20180244, 20180247, 201602877Ministero dell'Istruzione, dell'Università e della Ricerca 2022T45AXHNederlandse Organisatie voor Wetenschappelijk Onderzoek 0.16.186.364Nederlandse Organisatie voor Wetenschappelijk Onderzoek 91619053Svenska Sällskapet för Medicinsk Forskning P13-0171Tianjin Municipal Education Commission Scientific Research Plan Project 2023KJ107Vetenskapsrådet 2019-02027, 2023-02724
6 · The paper itself

Abstract

backgroundInflammation is a key driver of atherosclerosis, yet the mechanisms sustaining inflammation in human plaques remain poorly understood. This study uses a network-based approach to identify immune gene programs involved in the transition from low- to high-risk (rupture-prone) human atherosclerotic plaques.

methodsExpression data from human carotid artery plaques, both stable (low-risk, n = 16) and unstable (high-risk, n = 27), were analyzed using Weighted Gene Co-expression Network Analysis (WGCNA). Bayesian network inference, operated on the eigengene values from the WGCNA, further extended the WGCNA analysis, and similarity to the signature of T cell subsets was validated in single-cell RNA sequencing data of human plaques, and a loss-of-function study in a mouse model of atherosclerosis. In silico drug repurposing was performed to identify potential therapeutic targets.

resultsOur analysis revealed a distinct gene module with a prominent T cell signature, particularly in unstable plaques. Key regulatory factors, RUNX3, IRF7 and in particular PRDM1, were significantly downregulated in plaque T cells from symptomatic versus asymptomatic patients, indicating a protective role. Additionally, as PRDM1 is downstream of IRF7, we opted for PRDM1 as a key target. T cell-specific Prdm1 deficiency in Western-type diet fed Ldlr knockout mice featured accelerated plaque progression. Finally, as PRDM1 targeting drugs are not yet available, we performed in silico drug repurposing, identifying EGFR inhibitors as promising therapeutic candidates.

conclusionsThis study highlights a PRDM1-regulated T cell network that distinguishes high-risk from low-risk plaques and demonstrates the regulatory role of T cell PRDM1 in controlling atherosclerosis, positioning this pathway as a promising therapeutic target.

Indexed as

Gene Regulatory NetworksInflammationPlaque, AtheroscleroticPositive Regulatory Domain I-Binding Factor 1T-LymphocytesAnimalsAtherosclerosisDisease Models, AnimalGene Expression RegulationHumansMiceMice, KnockoutPositive Regulatory Domain I-Binding Factor 1PRDM1 protein, humanAtherosclerosisCarotid endarterectomyMicroarrayPRDM1Single-cell sequencingT cell

Identifiers

PMID41039608
PMCPMC12490039

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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.