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Updated: Jun 24, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
Relationship between human serum metabolites and angina pectoris: a Mendelian randomization study
Jian Xiong1, Ying Liao2, Liyuan Yang1
1College of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, China.
This study identified 42 serum metabolites linked to angina pectoris, including 25 high-risk and 17 protective ones. Pipecolate was a significant risk factor, highlighting potential new biomarkers for angina.
Area of Science:
- Metabolomics
- Cardiovascular Disease Genetics
- Biomarker Discovery
Background:
- Angina pectoris is a significant cardiovascular condition.
- Understanding the metabolic underpinnings of angina is crucial for developing effective diagnostic and therapeutic strategies.
Purpose of the Study:
- To investigate the causal relationships between human serum metabolites and angina pectoris.
- To identify specific metabolites and metabolic pathways associated with the risk of developing angina pectoris.
Main Methods:
- Utilized two-sample Mendelian randomization (MR) analysis on 486 serum metabolites.
- Employed inverse variance weighted, MR-Egger, and weighted median methods to assess associations.
- Conducted sensitivity analyses including leave-one-out and MR-Pleiotropy RESidual Sum and Outlier (RSO) tests.
Main Results:
- Identified 42 serum metabolites significantly associated with angina pectoris.
- These metabolites included amino acids, carbohydrates, lipids, and nucleotides.
- Pipecolate showed the highest risk, while glycine, serine, threonine, primary bile acid, and caffeine metabolism pathways were implicated.
Conclusions:
- Discovered 25 high-risk and 17 protective serum metabolites for angina pectoris.
- Established significant metabolic pathways linked to angina development.
- Highlighted pipecolate as a key metabolite positively correlated with angina risk, suggesting its potential as a serum biomarker.
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