Evidence map›Paper›PMID 39463788›Full record

ArticleFrontiers in neurology2024

Causal relationship between metabolites and embolic stroke: based on Mendelian randomization and metabolomics.

Ying Hang, Zanhao Chen, Jiayi Ren, Yu Wang, Kangle Zhu, Qianhong Zhu

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. 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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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ying HangRadiography Center - Interventional Catheter Room, Yixing People's Hospital, Yixing, China.
Zanhao ChenDepartment of Medicine, Xinglin College, Nantong University, Nantong, China.
Jiayi RenDepartment of Medicine, Xinglin College, Nantong University, Nantong, China.
Yu WangDepartment of Medicine, Xinglin College, Nantong University, Nantong, China.
Kangle ZhuNanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.
Qianhong ZhuDepartment of Emergency Medicine, Yixing People's Hospital, Yixing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This research employed Mendelian randomization (MR) methods to explore whether metabolites are causally associated with embolic stroke of undetermined source (ESUS). Methods: Genome-Wide Association Study (GWAS) data regarding metabolites and ESUS were downloaded from the database. Metabolites were employed as exposure factors, ESUS served as the outcome variable, and single nucleotide polymorphisms (SNPs) exhibiting significant association with ESUS were chosen as instrumental variables. The causal association between exposure factor metabolites and the outcome variable ESUS was assessed using two methods: MR-Egger regression and inverse variance-weighted (IVW) analysis. Results: A causal relationship was observed between X-11593--O-methylascorbate* and ESUS, indicating a protective factor. Moreover, a causal relationship was identified between cholesterol esters in large very-low-density lipoprotein (VLDL), cholesterol esters in medium low-density lipoprotein (LDL), concentration of medium LDL particles, phospholipids in medium LDL, phenylalanine, total cholesterol in small LDL, total lipids in medium LDL and ESUS, representing risk factor. Funnel plots exhibited a symmetrical distribution of SNPs, while pleiotropic tests ( Conclusion: Metabolites are causally associated with ESUS. LDL and VLDL-related metabolites are identified as risk factors for ESUS.

Indexed as

embolic stroke of undetermined sourcegenome-wide association studyinverse variance-weightedMendelian randomizationmetabolite

Identifiers

PMID39463788
PMCPMC11502368

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