RESUMEN
Background: Individuals with Down syndrome (DS) have a 40%-60% chance of being born with congenital heart disease (CHD). This indicates that CHD in individuals with DS is not solely caused by trisomy 21, and there may be other genetic factors contributing to the development of CHD in these children. A study has identified variants in the specific genes that contribute to the pathogenesis of CHD in children with DS, isolated DS, and the CHD group. Computational studies on these identified variants, which, together with trisomy 21, determine the risk for CHD in DS cases, were limited. Here, we aimed to identify the impact of the identified variants that contribute to the pathogenesis of CHD in children with DS through in silico prediction, molecular modeling, and dynamics studies. Methodology and Results: The target single-nucleotide polymorphisms included in the study were examined for pathogenicity, residue conservation, and protein structural changes. The structural predictions were done using I-TASSER, Robetta, SWISS-MODEL, and Phyre2 tools. Further, the predicted models were validated through the PROCHECK server and molecular dynamics simulation using GROMACS software. The conservation analysis conducted on the identified variant highlights its significance in relation to the genetic disorders. Furthermore, a dynamics simulation study revealed the impact of the variant on protein structural stability (≤3 Å), providing valuable insights into its pathogenicity. We have also observed that the structure of the centrosomal protein of 290 kDa gene is relatively unstable, which may be attributed to its exclusive inclusion of helices within its secondary structural components. Conclusions: This computational study explores, for the first time, the association between genes and CHD-DS, evaluating the identified specific frameshift variants. The observed pathogenic mutations in CHD-DS patients require further experimental validation and may contribute to the development of prospective drug design research. The insights gained from the structural and functional implications of these variants could potentially serve as a cornerstone in the development of effective treatments for this debilitating condition.
RESUMEN
BACKGROUND: Rheumatic Heart Disease (RHD) remains a major cause of cardiovascular diseases and the most devastating effects are shown on children and young adults. RHD is caused due to the interaction between microbial, environmental, immunologic, and genetic factors. The Renin- Angiotensin Aldosterone System (RAAS) has been strongly implicated as the susceptibility pathway in the pathogenesis of the cardiovascular disease. OBJECTIVE: The present study investigated the modulating effect of Angiotensin II type 1 receptor (AGTR1) 1166A>C polymorphism on the RHD and its clinical features in Saudi Arabia. METHODS: AGTR1 1166A>C polymorphism was genotyped in 96 echocardiographically confirmed RHD patients and 142 ethnically matched controls by the TaqMan allelic discrimination method. RESULTS: Genotype distribution of the AGTR1 1166A>C polymorphism was not significantly different between RHD and control groups. Furthermore, AGTR1 1166A>C genotypes are not associated with the clinical features of RHD. These data support that there was no evidence for an association between AGTR1 1166A>C polymorphism and RHD in Saudi Arabia. CONCLUSION: To the best of our knowledge, this is the first study that has investigated the possible association between AGTR1 1166A>C polymorphism and susceptibility to RHD and its clinical features. Even though the AGTR1 gene, 1166A>C (rs5186), was reported to be associated with hypertension, left ventricular hypertrophy and coronary heart disease. The present study did not find any association between AGTR1 1166A>C polymorphism and RHD in Saudi Arabia. Further studies are needed to confirm our findings.
