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Updated: Jul 2, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
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.
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.
Introduction:
Pre-hypertension is a prevalent condition among the adult population worldwide. It is characterized by asymptomatic elevations in blood pressure beyond normal levels but not yet reaching the threshold for hypertension. If left uncontrolled, pre-hypertension can progress to hypertension, thereby increasing the risk of serious complications such as heart disease, stroke, kidney damage, and others.
Objective:
The precise mechanisms driving the progression of hypertension remain unknown. Thus, identifying the metabolic changes associated with this condition can provide valuable insights into potential markers or pathways implicated in the development of hypertension.
Methods:
In this study, we utilized untargeted metabolomics profiling, which examines over 1,000 metabolites to identify novel metabolites contributing to the progression from pre-hypertension to hypertension. Data were collected from 323 participants through Qatar Biobank.
Results:
By comparing metabolic profiles between pre-hypertensive, hypertensive and normotensive individuals, six metabolites including stearidonate, hexadecadienoate, N6-carbamoylthreonyladenosine, 9 and 13-S-hydroxyoctadecadienoic acid (HODE), 2,3-dihydroxy-5-methylthio- 4-pentenoate (DMTPA), and linolenate were found to be associated with increased risk of hypertension, in both discovery and validation cohorts. Moreover, these metabolites showed a significant diagnostic performance with area under curve >0.7.
Conclusion:
These findings suggest possible biomarkers that can predict the risk of progression from pre-hypertension to hypertension. This will aid in early detection, diagnosis, and management of this disease as well as its associated complications.
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