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Crosstalk Between Metabolic Biomarkers and Pulse Wave Analysis in Hypertensive Patients
Mirela Baba1,2, Mihaela Ioana Maris2,3, Adina Bucur2,4
1Doctoral School, "Victor Babeş" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Biomedicines
|July 29, 2025
Summary
Hypertension is linked to vascular changes and lipid metabolism. This study found that lipid profiles and metabolic biomarkers correlate with pulse wave analysis, aiding early detection of vascular injury in hypertensive patients.
Area of Science:
- Cardiology
- Metabolic Syndrome Research
- Vascular Biology
Background:
- Hypertension is associated with altered vascular function and lipid metabolism.
- Understanding these links is crucial for managing cardiovascular risk.
Purpose of the Study:
- To investigate the relationship between lipid profiles, metabolic biomarkers, and pulse wave analysis in hypertensive patients.
- To assess the utility of these markers in identifying vascular changes.
Main Methods:
- Pulse wave analysis was performed on 66 hypertensive patients using an oscillometric device.
- Serum lipid biomarkers (total cholesterol, triglycerides, non-HDL cholesterol) and lipid balance index (LBI) were measured.
- Associations with metabolic syndrome, insulin resistance, and non-alcoholic fatty liver disease (NAFLD) were analyzed.
Main Results:
- Systolic blood pressure (SBP), diastolic blood pressure (DBP), and early vascular aging (EVA) showed correlations with lipid biomarkers.
- Metabolic syndrome, insulin resistance, and NAFLD were significantly linked to pulse wave analysis variables.
- Total cholesterol (TC) remained significantly associated with DBP in regression analysis.
Conclusions:
- Lipid profiles (TC, TG, non-HDL, LBI) provide insights into blood pressure and EVA in hypertension.
- LBI is valuable for assessing vascular health in hypertensive patients with cardiovascular risk factors, EVA, insulin resistance, and NAFLD.
- Integrating metabolic biomarkers and pulse wave measurements offers a comprehensive approach for early vascular injury detection and cardiovascular event prediction.
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