Metabolomic profiling reveals key metabolites associated with hypertension progression

Sarah Al Ashmar1, Najeha Rizwana Anwardeen2, Gulsen Guliz Anlar1

  • 1Department of Basic Sciences, College of Medicine, QU Health, Qatar University, Doha, Qatar.

PubMed

Insights

Six metabolites were identified as potential biomarkers for predicting the progression from pre-hypertension to hypertension. These findings aid in early detection and management of hypertension and its complications.

Area of Science:

  • Metabolomics
  • Cardiovascular Disease Research
  • Biomarker Discovery

Background:

  • Pre-hypertension is a widespread condition affecting adults globally, characterized by elevated blood pressure without overt symptoms.
  • Uncontrolled pre-hypertension significantly increases the risk of developing hypertension and associated severe health issues like heart disease, stroke, and kidney damage.
  • Understanding the metabolic shifts during hypertension progression is crucial for identifying predictive markers and therapeutic targets.

Purpose of the Study:

  • To identify novel metabolites associated with the progression from pre-hypertension to hypertension.
  • To investigate metabolic profiles for potential hypertension risk prediction.
  • To explore the diagnostic performance of identified metabolites in hypertension.

Main Methods:

  • Utilized untargeted metabolomics profiling on over 1,000 metabolites.
  • Analyzed data from 323 participants recruited through the Qatar Biobank.
  • Compared metabolic profiles of pre-hypertensive, hypertensive, and normotensive individuals.

Main Results:

  • Identified six key metabolites (stearidonate, hexadecadienoate, N6-carbamoylthreonyladenosine, 9 and 13-S-hydroxyoctadecadienoic acid (HODE), 2,3-dihydroxy-5-methylthio- 4-pentenoate (DMTPA), and linolenate) associated with increased hypertension risk.
  • These metabolites demonstrated significant diagnostic performance with an area under the curve >0.7 in both discovery and validation cohorts.
  • The identified metabolites show potential as predictive biomarkers for hypertension development.

Conclusions:

  • The study identified potential biomarkers for predicting the progression from pre-hypertension to hypertension.
  • These biomarkers can aid in the early detection, diagnosis, and management of hypertension.
  • Findings contribute to understanding metabolic pathways involved in hypertension and may guide future therapeutic strategies.
Abstract

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