The analysis of PON1 gene expression and rs662 polymorphism in Iranian patients suffering from cardiovascular diseases

In addition to lifestyle and diet, cardiovascular disease can be caused by genetic factors related to heart function issues and the blood biochemical content. The PON1 gene encodes paraoxonase1 as an HDL-depended enzyme inhibiting LDL oxidation and relative side effects. The polymorphism of PON1 can significantly influence the activity and the levels of serum PON1, as well as the occurrence of cardiovascular disease. Therefore, this study analyzed PON1 gene expression and Q192R polymorphism among Iranian cardiovascular patients. This case-control research included 40 patients and 40 controls. The Q192R polymorphism of the PON1 gene was analyzed by real-time PCR. In addition, PON1 gene polymorphism was analyzed by the developed methodology for PCR and RFLP. The data was statistically analyzed by t-test (P <0.05) via SPSS version 23.0. The expression of PON1 was considerably reduced in the patients (P < 0.05), compared to the control population. Additionally, there was a significant correlation between the expression of the gene, LDL level, and the age of the patients (P < 0.05). The low PON1 gene expression can indicate that the enzyme is a key factor positively affecting cardiovascular diseases among the Iranian population. Additionally, cardiovascular diseases in the Iranian population are significantly associated with the PON1 gene polymorphism.

Authors

Institutions

Publication Details

Journal
Momona Ethiopian Journal of Science
Published
2025-02-06
DOI
https://doi.org/10.4314/mejs.v17i1.1
Primary Topic
Paraoxonase enzyme and polymorphisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The analysis of PON1 gene expression and rs662 polymorphism in Iranian patients suffering from cardiovascular diseases

Lena Mahya, Kasra Esfahani, Elham Moslemi, Sedigheh Ahmadpour
Momona Ethiopian Journal of Science
Paraoxonase enzyme and polymorphisms
article

The analysis of PON1 gene expression and rs662 polymorphism in Iranian patients suffering from cardiovascular diseases

Lena Mahya, Kasra Esfahani, Elham Moslemi, Sedigheh Ahmadpour
article en

Abstract

In addition to lifestyle and diet, cardiovascular disease can be caused by genetic factors related to heart function issues and the blood biochemical content. The PON1 gene encodes paraoxonase1 as an HDL-depended enzyme inhibiting LDL oxidation and relative side effects. The polymorphism of PON1 can significantly influence the activity and the levels of serum PON1, as well as the occurrence of cardiovascular disease. Therefore, this study analyzed PON1 gene expression and Q192R polymorphism among Iranian cardiovascular patients. This case-control research included 40 patients and 40 controls. The Q192R polymorphism of the PON1 gene was analyzed by real-time PCR. In addition, PON1 gene polymorphism was analyzed by the developed methodology for PCR and RFLP. The data was statistically analyzed by t-test (P <0.05) via SPSS version 23.0. The expression of PON1 was considerably reduced in the patients (P < 0.05), compared to the control population. Additionally, there was a significant correlation between the expression of the gene, LDL level, and the age of the patients (P < 0.05). The low PON1 gene expression can indicate that the enzyme is a key factor positively affecting cardiovascular diseases among the Iranian population. Additionally, cardiovascular diseases in the Iranian population are significantly associated with the PON1 gene polymorphism.

Momona Ethiopian Journal of ScienceVol. 17(1)
Islamic Azad University, Tehran (IR), National Institute of Genetic Engineering and Biotechnology (IR)
Openalex Percentile: Top 95%
Paraoxonase enzyme and polymorphisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.