The causal relationship between 233 metabolites and coronary atherosclerosis: a Mendelian randomization study

There is a close relationship between metabolites and the occurrence of coronary atherosclerosis. This study conducted Mendelian randomization analysis on the causal relationship between 233 metabolites and coronary atherosclerosis, providing potential new insights for the treatment of this disease.

Authors

Institutions

Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2024-12-12
DOI
https://doi.org/10.3389/fcvm.2024.1439699
Citations
2
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The causal relationship between 233 metabolites and coronary atherosclerosis: a Mendelian randomization study

Xiaoyu Zheng, Dawu Zhang, Xiaochang Ma, Lijun Guo et al.
2 citations
Frontiers in Cardiovascular Medicine
Genetic Associations and Epidemiology
1.10
article

The causal relationship between 233 metabolites and coronary atherosclerosis: a Mendelian randomization study

Xiaoyu Zheng, Dawu Zhang, Xiaochang Ma, Lijun Guo, Yuan Zheng, Zian Yan, Hongwei Zhang
article en
2 citations

Abstract

There is a close relationship between metabolites and the occurrence of coronary atherosclerosis. This study conducted Mendelian randomization analysis on the causal relationship between 233 metabolites and coronary atherosclerosis, providing potential new insights for the treatment of this disease.

Frontiers in Cardiovascular MedicineVol. 11
Beijing University of Chinese Medicine (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Xiyuan Hospital (CN)
Good health and well-being
Openalex Percentile: Top 18%
Genetic Associations and Epidemiology
1.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.