Evidence mapPaperPMID 41863207Full record

ArticleJACC. Advances2026

TNFR Pathway-Related Proteins and Recurrent Coronary Artery Disease Events.

Jiwoo Lee, Tiffany R Bellomo, Jennifer L Halford, So Mi Jemma Cho, Satoshi Koyama, Jacqueline Dron, Sara Haidermota, Yunfeng Ruan, Sarah Urbut, Buu Truong and 2 more

Abstract read
In one paragraph

Article in JACC. Advances, 2026. 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

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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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jiwoo LeeProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Tiffany R BellomoProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA; Division of Vascular and Endovascular Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA.
Jennifer L HalfordProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA; Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
So Mi Jemma ChoProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA; Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, Republic of Korea; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Satoshi KoyamaProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA; Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jacqueline DronProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Sara HaidermotaProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.
Yunfeng RuanProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Sarah UrbutProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA; Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Buu TruongCenter for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Aniruddh PatelProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA; Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Pradeep NatarajanProgram in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA; Center for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA; Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: pnatarajan@mgh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite optimization with lifestyle modifications and medications, complications of coronary artery disease (CAD) remain the leading cause of adult mortality worldwide.

objectivesThis study aimed to identify proteins and pathways linked to recurrent CAD events to better understand residual risk.

methodsWe used data from 1,009 participants in the UK Biobank with baseline Olink plasma proteomic measures and CAD. Cox proportional hazards regression modeled the association between proteins measured and recurrent CAD events in follow-up.

resultsParticipants had a mean age of 62.51 years (SD 5.94) at enrollment; 183 (18.14%) were females and 656 (65.01%) had recurrent CAD events over 11.40 (IQR: 8.00-14.69) years of follow-up. Among 1,463 proteins tested, 102 proteins were independently associated with recurrent CAD events. Molecular functions were significantly enriched for tumor necrosis factor receptor (TNFR) activity by 100-fold (P = 6.37 × 10

conclusionsAlthough TNFR1 and TNFR2 were initially thought to have opposing roles in cardiac remodeling postmyocardial infarction, this study highlights the complex interaction between these pathways and the need to identify specific inflammation-related targets to therapeutic strategies.

Indexed as

coronary artery diseaseproteomicstumor necrosis factor receptor

Identifiers

PMID41863207
PMCPMC13019554

What Socratic holds

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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 Socratic graph.