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Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
Biomarker Discovery in Atherosclerotic Diseases Using Quantitative Nuclear Magnetic Resonance Metabolomics
Shuai Ma1,2,3, Mingfeng Xia1,2, Xin Gao1,2
1Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China.
Insights
Quantitative nuclear magnetic resonance (qNMR) metabolomics offers new biomarkers for atherosclerosis (AS) and cardiovascular disease (CVD). These qNMR markers, especially lipoprotein-related ones, promise improved detection and prevention of these conditions.
Area of Science:
- Biochemistry
- Metabolomics
- Cardiovascular Medicine
Background:
- Atherosclerosis (AS) and cardiovascular disease (CVD) remain leading causes of death despite advances in management.
- Current lipid testing may be insufficient for comprehensive risk detection, highlighting the need for novel biomarkers.
Purpose of the Study:
- To review quantitative nuclear magnetic resonance (qNMR) biomarkers for AS and CVD from epidemiological studies.
- To emphasize the role of qNMR-derived lipoprotein parameters in understanding and managing these diseases.
Main Methods:
- Review of existing epidemiological studies utilizing qNMR metabolomics.
- Focus on qNMR's ability to quantify lipoprotein particle number, size, and lipid components.
- Analysis of molecular metabolites identified through qNMR.
Main Results:
- qNMR metabolomics can phenotype holistic metabolic changes, particularly lipid-protein complexes.
- qNMR-based lipoprotein parameters and metabolites show promise as determinants of AS and CVD.
- Emerging literature supports qNMR's potential in providing deeper insights into atherogenic diseases.
Conclusions:
- qNMR metabolomics provides valuable biomarkers for AS and CVD.
- Lipoprotein-related parameters quantified by qNMR are significant for risk assessment.
- Further research may lead to the clinical translation of qNMR biomarkers for enhanced prevention and detection.
Abstract:
Despite great progress in the management of atherosclerosis (AS), its subsequent cardiovascular disease (CVD) remains the leading cause of morbidity and mortality. This is probably due to insufficient risk detection using routine lipid testing; thus, there is a need for more effective approaches relying on new biomarkers. Quantitative nuclear magnetic resonance (qNMR) metabolomics is able to phenotype holistic metabolic changes, with a unique advantage in regard to quantifying lipid-protein complexes. The rapidly increasing literature has indicated that qNMR-based lipoprotein particle number, particle size, lipid components, and some molecular metabolites can provide deeper insight into atherogenic diseases and could serve as novel promising determinants. Therefore, this article aims to offer an updated review of the qNMR biomarkers of AS and CVD found in epidemiological studies, with a special emphasis on lipoprotein-related parameters. As more researches are performed, we can envision more qNMR metabolite biomarkers being successfully translated into daily clinical practice to enhance the prevention, detection and intervention of atherosclerotic diseases.
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