Association of 1166A>C AT1R, -1562C>T MMP-9, ACE I/D, and CCR5Δ32 Polymorphisms with Abdominal Aortic Aneurysm in Croatian Patients

Linking single nucleotide polymorphisms to signaling blueprints in abdominal aortic aneurysms

Abdominal aortic aneurysms (AAA) is a multifactorial complex disease with life-threatening consequences. While Genome-wide association studies (GWAS) have revealed several single nucleotide polymorphisms (SNPs) located in the genome of individuals with AAA, the link between SNPs with the associated pathological signals, the influence of risk factors on their distribution and their combined analysis is not fully understood. We integrated 86 AAA SNPs from GWAS and clinical cohorts from the literature to determine their phenotypical vulnerabilities and association with AAA risk factors. The SNPs were annotated using snpXplorer AnnotateMe tool to identify their chromosomal position, minor allele frequency, CADD (Combined Annotation Dependent Depletion), annotation-based pathogenicity score, variant consequence, and their associated gene. Gene enrichment analysis was performed using Gene Ontology and clustered using REVIGO. The plug-in GeneMANIA in Cytoscape was applied to identify network integration with associated genes and functions. 15 SNPs affecting 20 genes with a CADD score above ten were identified. AAA SNPs were predominantly located on chromosome 3 and 9. Stop-gained rs5516 SNP obtained high frequency in AAA and associated with proinflammatory and vascular remodeling phenotypes. SNPs presence positively correlated with hypertension, dyslipidemia and smoking history. GO showed that AAA SNPs and their associated genes could regulate lipid metabolism, extracellular matrix organization, smooth muscle cell proliferation, and oxidative stress, suggesting that part of these AAA traits could stem from genetic abnormalities. We show a library of inborn SNPs and associated genes that manifest in AAA. We uncover their pathological signaling trajectories that likely fuel AAA development.

Risk Factor Assessment in a Greek Cohort of Patients With Large Abdominal Aortic Aneurysms

Environmental and genetic risk factors contribute to the etiology of abdominal aortic aneurysms (AAAs). Matrix metalloproteinases (MMPs) have been associated with the pathophysiology of AAAs. A prospective, nonrandomized case-control study was undertaken to investigate the risk factors for large AAAs (≥5.5 cm) among 175 male Greek AAA patients and to compare the results with a cohort of 166 male controls free from any aortic dilatation, as confirmed by ultrasonography from an existing AAA screening program in the same region. We also assessed the potential association between 2 functional single nucleotide polymorphisms in the genes MMP9 (-1561C/T; rs3918242) and MMP13 (-77A/G; rs2252070), and the presence of large AAAs. Multiple logistic regression analysis revealed AAA family history ( P = .028), hypercholesterolemia ( P < .001), and current smoking ( P < .001) as AAA risk factors. Statistical difference was reached in genotype ( P = .047) and allele ( P = .037) frequencies for rs2252070, but the results did not remain significant after correction for multiple testing. No significant differences in genotype or allele frequencies for rs3918242 were detected. In summary, AAA family history, hypercholesterolemia, and current smoking were found to be risk factors for large AAAs.

Matrix metalloproteinase family polymorphisms and the risk of aortic aneurysmal diseases: A systematic review and meta-analysis

It has been suggested that matrix metalloproteinase (MMP) polymorphisms are associated with the pathogenesis of aortic aneurysmal diseases. In this study, we conducted a systematic review with an update meta-analysis to investigate the relationship between MMP family polymorphisms and aortic aneurysmal diseases. We systematically reviewed 24 polymorphisms in 8 MMP genes related to the risk of abdominal aortic aneurysm (AAA), thoracic AA or thoracic aortic dissection (TAD). A total of 19 case-control studies with 15 highly studied MMP polymorphisms were included in our meta-analysis. Our results suggested that MMP2rs243865, MMP3rs3025058, MMP13rs2252070 polymorphisms were significantly associated with AAA risk, MMP2rs11643630, MMP8rs11225395 polymorphisms were correlated with TAD risk, and MMP9rs3918242 under the dominant model could increase AAA risk in hospital-based subgroup. No associations with aortic aneurysmal diseases were identified for other polymorphisms assessed in our meta-analysis. In summary, some studied MMP polymorphisms associated with the risk of aortic aneurysmal diseases are potential predictive biomarkers for the clinical application. Moreover, other MMP polymorphisms with limited studies but relevant to aortic aneurysmal formation and progression need further prospective and large investigations to confirm results.