Evidence map›Paper›PMID 39394502›Full record

ArticleCardiovascular toxicology2024

Novel Insights into Causal Effects of Serum Lipids and Apolipoproteins on Cardiovascular Morpho-Functional Phenotypes.

Ankang Liu, Xiaohong Liu, Yuanhao Wei, Xiqiao Xiang, Yi Chen, Ziwei Zheng, Changde Xu, Shaoling Yang, Kun Zhao

Erratum issuedAbstract read
In one paragraph

Article in Cardiovascular toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

9 authors.

Ankang Liu *Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Xiaohong Liu *Department of Radiology, Shanghai Eighth People's Hospital, No. 8. Caobao Road, Xuhui District, Shanghai, 200235, China.
Yuanhao Wei *School of Public Health, Harbin Medical University, Harbin, China.
Xiqiao XiangDepartment of PET-CT Imaging Center, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Yi ChenDepartment of PET-CT Imaging Center, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Ziwei ZhengDepartment of Ultrasound Medicine, Shanghai Eighth People's Hospital, No. 8. Caobao Road, Xuhui District, Shanghai, 200235, China.
Changde XuDepartment of PET-CT Imaging Center, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China.
Shaoling YangDepartment of Ultrasound Medicine, Shanghai Eighth People's Hospital, No. 8. Caobao Road, Xuhui District, Shanghai, 200235, China. drysl@163.com.
Kun ZhaoDepartment of PET-CT Imaging Center, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China. zzleaning@163.com.

Funding

Fengxian District Science and Technology Commission Project No.20211838Shanghai Natural Science Foundation of China No.23ZR1447800Shanghai Xuhui District's Key Medical Disciplines No.SHXHZDXK202 319
6 · The paper itself

Abstract

Previous observational studies have explored the association between serum lipids, apolipoproteins, and adverse ventricular/aortic structure and function. However, whether a causal link exists is uncertain. This study employed a two-sample Mendelian randomization (MR), colocalization, reverse, and multivariable MR (MVMR) approach to examine the causal associations among five serum lipids, two apolipoproteins, and 32 cardiac magnetic resonance (CMR) traits. Utilizing single-nucleotide polymorphisms (SNPs) linked to serum lipids and apolipoproteins as instrumental variables. CMR traits from seven independent genome-wide association studies served as preclinical endophenotypes, offering insights into aortic and cardiac structure/function. The primary analysis utilized a random-effects inverse variance method (IVW), followed by sensitivity and validation analyses. In the primary IVW MR analyses, genetically predicted low-density lipoprotein cholesterol (LDL-C) levels were positively correlated with increased descending aorta strain (DAo strain) (β = 0.098; P = 2.69E-07) and ascending aorta strain (AAo strain) (β = 0.079; P = 5.19E-05). Genetically predicted high-density lipoprotein cholesterol (HDL-C) levels were positively correlated with left ventricular radial peak diastolic strain rate (LV-PDSRll) (β = 0.176; P = 2.89E-05) and the left ventricular longitudinal peak diastolic strain rate (LV-PDSRrr) (β = 0.059; P = 2.44E-06), and negatively correlated with left ventricular regional wall thickness (LVRWT). While apolipoprotein B (ApoB) levels were positively correlated with AAo strain (β = 0.076; P = 1.16E-05), DAo strain (β = 0.065; P = 2.77E-05). A shared causal variant was identified to demonstrate the associations of ApoB with AAo strain and DAo strain using colocalization analysis. Sensitivity analyses confirmed the robustness of these associations. Targeting lipid and apolipoprotein levels through interventions may provide novel strategies for the primary prevention of CVDs.

Indexed as

BiomarkersGenome-Wide Association StudyLipidsMendelian Randomization AnalysisPhenotypePolymorphism, Single NucleotideAortaApolipoprotein B-100ApolipoproteinsCardiovascular DiseasesGenetic Predisposition to DiseaseHumansRisk AssessmentRisk FactorsVentricular Function, LeftVentricular RemodelingAPOB protein, humanApolipoprotein B-100ApolipoproteinsBiomarkersLipidsApolipoproteinsCardiovascular magnetic resonance imagingCardiovascular structure and functionLipidsMendelian randomization

Identifiers

PMID39394502
PMCPMC11564402

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Registered trials

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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.