PSMA6 Polymorphism, DKK1, and OPG in Coronary Artery Disease: Evidence from a Case–Control Study.

Background: Coronary artery disease (CAD) remains a leading global health problem. Genetic biochemical markers such as PSMA6 rs1048990, osteoprotegerin (OPG), Dickkopf-1 (DKK1) may provide novel insights into CAD pathogenesis. This study aimed to explore the association of serum OPG, Dkk-1 levels, PSMA6 rs1048990 (-8C>G) gene genetic variation with CHD. Methods: This case–control study included 72 angiographically confirmed CAD patients 72 age-sex-matched controls. Fasting glucose lipid profiles were measured. Serum OPG (pmol/L) DKK1 (pg/mL) were quantified by ELISA, PSMA6 rs1048990 genotypes were determined using real-time PCR with melting-curve analysis. Results: The CG ,GG genotypes, as well as the G allele, were significantly more frequent among cases (CG+GG vs CC, p = 0.030; G vs C, p = 0.008). OPG levels were higher in patients (6.26 ± 1.83 vs 3.96 ± 0.74 pmol/L; p < 0.001), while DKK1 levels showed no significant difference between cases and controls (4.84 ± 1.27 vs 4.59 ± 1.19 pg/mL; p = 0.292). After adjustment for confounders, the associations between OPG, PSMA6 G allele, CAD remained significant (p < 0.05). OPG showed strong diagnostic performance (AUC = 0.862; cut-off >5.2 pmol/L; sensitivity 79.2%, specificity 97.2%), whereas DKK1 was not predictive (AUC = 0.553; p = 0.271). Conclusions: This case–control study on an Egyptian cohort identified a significant association between the PSMA6 rs1048990 polymorphism elevated serum OPG levels with increased CHD risk. The G allele of PSMA6 may enhance disease susceptibility via inflammatory proteasomal pathways, while OPG demonstrated strong diagnostic performance, highlighting its potential as a predictive biomarker.

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Publication Details

Journal
Zagazig University Medical Journal
Published
2025-11-15
DOI
https://doi.org/10.21608/zumj.2025.418645.4140
Primary Topic
Bone Metabolism and Diseases
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article
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article

PSMA6 Polymorphism, DKK1, and OPG in Coronary Artery Disease: Evidence from a Case–Control Study.

Hanim Magdy Abd elnour, Norhan A. Sabbah, Moataz Elsanan, Sayed Soliman
Zagazig University Medical Journal
Bone Metabolism and Diseases
article

PSMA6 Polymorphism, DKK1, and OPG in Coronary Artery Disease: Evidence from a Case–Control Study.

Hanim Magdy Abd elnour, Norhan A. Sabbah, Moataz Elsanan, Sayed Soliman
article en

Abstract

Background: Coronary artery disease (CAD) remains a leading global health problem. Genetic biochemical markers such as PSMA6 rs1048990, osteoprotegerin (OPG), Dickkopf-1 (DKK1) may provide novel insights into CAD pathogenesis. This study aimed to explore the association of serum OPG, Dkk-1 levels, PSMA6 rs1048990 (-8C>G) gene genetic variation with CHD. Methods: This case–control study included 72 angiographically confirmed CAD patients 72 age-sex-matched controls. Fasting glucose lipid profiles were measured. Serum OPG (pmol/L) DKK1 (pg/mL) were quantified by ELISA, PSMA6 rs1048990 genotypes were determined using real-time PCR with melting-curve analysis. Results: The CG ,GG genotypes, as well as the G allele, were significantly more frequent among cases (CG+GG vs CC, p = 0.030; G vs C, p = 0.008). OPG levels were higher in patients (6.26 ± 1.83 vs 3.96 ± 0.74 pmol/L; p < 0.001), while DKK1 levels showed no significant difference between cases and controls (4.84 ± 1.27 vs 4.59 ± 1.19 pg/mL; p = 0.292). After adjustment for confounders, the associations between OPG, PSMA6 G allele, CAD remained significant (p < 0.05). OPG showed strong diagnostic performance (AUC = 0.862; cut-off >5.2 pmol/L; sensitivity 79.2%, specificity 97.2%), whereas DKK1 was not predictive (AUC = 0.553; p = 0.271). Conclusions: This case–control study on an Egyptian cohort identified a significant association between the PSMA6 rs1048990 polymorphism elevated serum OPG levels with increased CHD risk. The G allele of PSMA6 may enhance disease susceptibility via inflammatory proteasomal pathways, while OPG demonstrated strong diagnostic performance, highlighting its potential as a predictive biomarker.

Zagazig University Medical JournalVol. 0(0)
Zagazig University (EG)
Openalex Percentile: Top 69%
Bone Metabolism and Diseases
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