Tetranectin and Paraoxonase 1 in Patients with Varying Stages of Heart Failure: A Cross-Sectional Analysis

<b>Background:</b> Heart failure (HF) is a leading cause of mortality across the globe, prompting ongoing research into novel biomarkers for improved risk stratification and patient management. <b>Methods:</b> This cross-sectional study aimed to investigate the relationship between two promising biomarkers, tetranectin and paraoxonase 1, and the severity of heart failure in a cohort of 87 patients with cardiovascular risk factors. Participants were categorized into three groups based on their New York Heart Association (NYHA) classification: no HF (Control), NYHA class I (G1), and NYHA class II-IV (G2). <b>Results:</b> Our analysis revealed a stepwise decrease in both TETRA and PON1 levels with increasing HF severity, with the Control group exhibiting the highest levels and the G2 group the lowest. Interestingly, a significant positive correlation between TETRA and PON1 was observed only in the Control group, suggesting a potential interplay between these biomarkers in healthy individuals that may be disrupted with the onset of HF. Furthermore, both TETRA and PON1 were positively associated with left ventricular ejection fraction (LVEF) and negatively associated with diastolic dysfunction, indicating their potential involvement in both systolic and diastolic cardiac function. <b>Conclusions:</b> These findings suggest that TETRA and PON1 may serve as valuable biomarkers for assessing HF severity and prognosis. Further research is warranted to validate these findings in larger, prospective studies and to explore their clinical utility in guiding treatment decisions.

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Publication Details

Journal
Clinics and Practice
Published
2025-04-25
DOI
https://doi.org/10.3390/clinpract15050086
Citations
2
Primary Topic
Paraoxonase enzyme and polymorphisms
Type
article
Field-Weighted Citation Impact
2.64
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article

Tetranectin and Paraoxonase 1 in Patients with Varying Stages of Heart Failure: A Cross-Sectional Analysis

Luminița Pilat, Voicu Daşcău, Maria Pușchiță, Norberth-Istvan Varga et al.
2 citations
Clinics and Practice
Paraoxonase enzyme and polymorphisms
2.64
article

Tetranectin and Paraoxonase 1 in Patients with Varying Stages of Heart Failure: A Cross-Sectional Analysis

Luminița Pilat, Voicu Daşcău, Maria Pușchiță, Norberth-Istvan Varga, C Popa, Paula Alexandra Vulciu, Maria-Daniela Mot
article en
2 citations

Abstract

<b>Background:</b> Heart failure (HF) is a leading cause of mortality across the globe, prompting ongoing research into novel biomarkers for improved risk stratification and patient management. <b>Methods:</b> This cross-sectional study aimed to investigate the relationship between two promising biomarkers, tetranectin and paraoxonase 1, and the severity of heart failure in a cohort of 87 patients with cardiovascular risk factors. Participants were categorized into three groups based on their New York Heart Association (NYHA) classification: no HF (Control), NYHA class I (G1), and NYHA class II-IV (G2). <b>Results:</b> Our analysis revealed a stepwise decrease in both TETRA and PON1 levels with increasing HF severity, with the Control group exhibiting the highest levels and the G2 group the lowest. Interestingly, a significant positive correlation between TETRA and PON1 was observed only in the Control group, suggesting a potential interplay between these biomarkers in healthy individuals that may be disrupted with the onset of HF. Furthermore, both TETRA and PON1 were positively associated with left ventricular ejection fraction (LVEF) and negatively associated with diastolic dysfunction, indicating their potential involvement in both systolic and diastolic cardiac function. <b>Conclusions:</b> These findings suggest that TETRA and PON1 may serve as valuable biomarkers for assessing HF severity and prognosis. Further research is warranted to validate these findings in larger, prospective studies and to explore their clinical utility in guiding treatment decisions.

Clinics and PracticeVol. 15(5)
Genesys (United States) (US), Victor Babeș University of Medicine and Pharmacy Timișoara (RO), Vasile Goldis Western University of Arad (RO)
Good health and well-being
Openalex Percentile: Top 11%
Paraoxonase enzyme and polymorphisms
2.64
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