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Metabolomic characterization of hypertension and dyslipidemia

Chaofu Ke1, Xiaohong Zhu2, Yuxia Zhang1

  • 1Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, People's Republic of China.

Metabolomics : Official Journal of the Metabolomic Society
|March 5, 2019
PubMed

Insights

This study identified key metabolic biomarkers for hypertension and dyslipidemia, revealing shared and distinct metabolic patterns. These findings offer insights into cardiovascular disease mechanisms and potential therapeutic targets.

Area of Science:

  • Metabolomics
  • Cardiovascular Disease Research
  • Biomarker Discovery

Background:

  • Hypertension and dyslipidemia are major risk factors for cardiovascular diseases (CVD).
  • Their co-occurrence significantly elevates CVD risk.
  • Underlying regulatory mechanisms and interactions remain incompletely understood.

Purpose of the Study:

  • Identify metabolic biomarkers and pathways for hypertension and dyslipidemia.
  • Compare metabolic profiles between hypertension and dyslipidemia.
  • Elucidate shared and distinct metabolic patterns.

Main Methods:

  • Metabolomic analysis of a UK population using gas chromatography-mass spectrometry and ultra-performance liquid chromatography-mass spectrometry.
  • Application of univariate and multivariate statistical methods for biomarker selection and pathway analysis.
  • Utilized data from the Husermet project.

Main Results:

  • Significant differences in serum metabolic signatures were observed between individuals with and without hypertension or dyslipidemia.
  • Identified 26 metabolites for hypertension and 46 for dyslipidemia.
  • Key metabolic pathways implicated include fatty acid metabolism, glycerophospholipid metabolism, and amino acid metabolism, linked to insulin resistance, vascular remodeling, and oxidized LDL formation.

Conclusions:

  • Valuable biomarkers and pathways for hypertension and dyslipidemia were identified.
  • Revealed common and distinct metabolic patterns, highlighting independent and synergistic biological implications.
  • Findings may inform understanding of pathological mechanisms and identify potential intervention targets for related diseases.
Abstract

Keywords:
BiomarkerDyslipidemiaHusermet projectHypertensionMetabolic pathwayMetabolomics

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