Evidence map›Paper›PMID 39655754›Full record

ArticleJournal of the American Heart Association2024

Metabonomic Biomarkers of Plaque Burden and Instability in Patients With Coronary Atherosclerotic Disease After Moderate Lipid-Lowering Therapy.

Zhendong Mei, Lili Xu, Qingxia Huang, Chenhao Lin, Mengyao Yu, Shalaimaiti Shali, Hongyi Wu, Yijing Lu, Runda Wu, Zhen Wang and 10 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

20 authors.

Zhendong MeiDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.ORCID 0000-0001-6235-8647
Lili XuDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.
Qingxia HuangState Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Zhongshan Hospital Fudan University Shanghai China.ORCID 0000-0001-6549-2737
Chenhao LinState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute Fudan University Shanghai China.ORCID 0000-0001-5102-801X
Mengyao YuHuman Phenome Institute, Zhangjiang Fudan International Innovation Center Fudan University Shanghai China.ORCID 0000-0002-5346-535X
Shalaimaiti ShaliDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.ORCID 0000-0001-6842-3956
Hongyi WuDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.
Yijing LuDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.ORCID 0000-0002-0171-2611
Runda WuDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.ORCID 0009-0006-4631-9510
Zhen WangDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.
Lingfeng LuoState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute Fudan University Shanghai China.
Zhonghan SunState Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute Fudan University Shanghai China.ORCID 0000-0003-4171-9794
Liang SunMinistry of Education Key Laboratory of Public Health Safety, School of Public Health, Institute of Nutrition Fudan University Shanghai China.
Juying QianDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.ORCID 0000-0002-7512-3692
Guochong ChenDepartment of Nutrition and Food Hygiene, School of Public Health Suzhou Medical College of Soochow University Suzhou China.
Huiru TangState Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Zhongshan Hospital Fudan University Shanghai China.ORCID 0000-0002-7139-2756
Kang YaoDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.ORCID 0000-0003-3178-8470
Yan ZhengDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.ORCID 0000-0003-1129-3147
Yuxiang DaiDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.ORCID 0000-0003-2479-8996
Junbo GeDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases National Clinical Research Center for Interventional Medicine Shanghai China.ORCID 0000-0002-9360-7332

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContemporary risk assessment in patients with coronary atherosclerotic disease (CAD) often relies on invasive angiography. However, we aimed to explore the potential of metabolomic biomarkers in reflecting residual risk in patients with CAD after moderate lipid-lowering therapy. METHODS AND

resultsWe analyzed serum metabolomic profile among 2560 patients with newly diagnosed CAD undergoing moderate lipid-lowering therapy, through nuclear magnetic resonance spectroscopy and quantified 175 metabolites, predominantly lipoproteins and their components. CAD severity was evaluated using Gensini score for plaque burden and circulating cardiac troponin T levels for plaque instability. The association of metabolites with CAD severity was examined using multivariate linear regression, and the underlying potential causality was explored using a 2-sample Mendelian randomization approach. Two composite metabolomic indices were constructed to reflect CAD severity using least absolute shrinkage and selection operator linear regression, and their associations with risk of major adverse cardiac events during a median follow-up of 3.8 years were evaluated using Cox models. Our investigation revealed that triglycerides and apolipoprotein B in low-density lipoprotein particles displayed stronger associations with CAD severity compared with the clinically used low-density lipoprotein cholesterol marker. In large high-density lipoprotein, components like cholesterol, cholesterol esters, triglyceride, apolipoprotein A1/A2 showed inverse associations with CAD severity. Certain metabolites, including apolipoprotein B and dihydrothymine, showed a putative causal link with Gensini score. Notably, per standard deviation increase in Gensini score-based metabolomic index was associated with 14.8% higher major adverse cardiac event risk (hazard ratio, 1.148 [95% CI, 1.018-1.295]) independent of demographic factors, medication use, and disease status.

conclusionsOur findings highlight the potential of nuclear magnetic resonance-based metabolomics in identifying novel biomarkers of plaque burden and instability. Metabolites related to plaque burden may facilitate noninvasive assessment of CAD prognosis.

Indexed as

BiomarkersCoronary Artery DiseaseMetabolomicsPlaque, AtheroscleroticAgedFemaleHumansHypolipidemic AgentsMagnetic Resonance SpectroscopyMaleMiddle AgedRisk AssessmentRisk FactorsRupture, SpontaneousSeverity of Illness IndexTreatment OutcomeBiomarkersHypolipidemic Agentscoronary atherosclerosis severitymetabolomicsprognosisrisk assessment

Identifiers

PMID39655754
PMCPMC11935549

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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.