Molecular Dynamics Simulation of Kir6.2 Variants Reveals Potential Association with Diabetes Mellitus.

Diabetes mellitus (DM) represents a problem for the healthcare system worldwide. DM has very serious complications such as blindness, kidney failure, and cardiovascular disease. In addition to the very bad socioeconomic impacts, it influences patients and their families and communities. The global costs of DM and its complications are huge and expected to rise by the year 2030. DM is caused by genetic and environmental risk factors. Genetic testing will aid in early diagnosis and identification of susceptible individuals or populations using ATP-sensitive potassium (KATP) channels present in different tissues such as the pancreas, myocardium, myocytes, and nervous tissues. The channels respond to different concentrations of blood sugar, stimulation by hormones, or ischemic conditions. In pancreatic cells, they regulate the secretion of insulin and glucagon. Mutations in the KCNJ11 gene that encodes the Kir6.2 protein (a major constituent of KATP channels) were reported to be associated with Type 2 DM, neonatal diabetes mellitus (NDM), and maturity-onset diabetes of the young (MODY). Kir6.2 harbors binding sites for ATP and phosphatidylinositol 4,5-diphosphate (PIP2). The ATP inhibits the KATP channel, while the (PIP2) activates it. A Kir6.2 mutation at tyrosine330 (Y330) was demonstrated to reduce ATP inhibition and predisposes to NDM. In this study, we examined the effect of mutations on the Kir6.2 structure using bioinformatics tools and molecular dynamic simulations (SIFT, PolyPhen, SNAP2, PANTHER, PhD&SNP, SNP&Go, I-Mutant, MuPro, MutPred, ConSurf, HOPE, and GROMACS). Our results indicated that M199R, R201H, R206H, and Y330H mutations influence Kir6.2 structure and function and therefore may cause DM. We conclude that MD simulations are useful techniques to predict the effects of mutations on protein structure. In addition, the M199R, R201H, R206H, and Y330H variant in the Kir6.2 protein may be associated with DM. These results require further verification in protein-protein interactions, Kir6.2 function, and case-control studies.

The blockage signal for PD-L1/CD274 gene variants and their potential impact on lung carcinoma susceptibility.

BACKGROUND: The programmed death-ligand 1 (PD-L1/CD274) gene plays a key function in suppressing anti-tumor immunity through binding to its receptor PD-1 on stimulated T lymphocytes. However, robust associations among diverse populations and lung susceptibility remain unclear. The tentative purpose of this research is to investigate whether PD-L1/CD274 polymorphisms modulate susceptibility to lung carcinoma using totalitarian techniques, including genetic analysis, and sophisticated bioinformatic methods. METHODS: PD-L1/CD274 (rs822336, rs2297136, and rs4143815) variants were genotyped in 126 lung carcinoma cases and 117 healthy controls using tetra-primer ARMS-PCR. Logistic regression and bioinformatics analyses assessed genetic associations. RESULTS: The rs2297136 GA genotype significantly increased lung cancer risk by 3.7-fold versus GG genotype (OR 3.69, 95 % CI 1.39-9.81, p = 0.016), with the minor A allele also increasing risk (OR 1.47, p = 0.044). In contrast, the rs4143815 CC genotype was associated with 70 % decreased cancer risk versus GG (OR 0.30, 95 % CI 0.11-0.87, p = 0.012), although the minor C allele itself was not significant. The rs822336 variant showed no association. Haplotype and multivariate analyses supported these findings. In silico predictions suggested functional impacts on PD-L1 expression and activity. CONCLUSIONS: This study identified novel associations between PD-L1/CD274 polymorphisms and susceptibility to lung cancer in Egyptians. The rs2297136 variant increased risk while the rs4143815 variant conferred protection, highlighting the PD-1/PD-L1 axis as a potential biomarker and therapeutic target in lung oncogenesis. Replication in larger cohorts and functional studies are warranted.

The Awareness of Females About Risk Factors That Lead to Having a Baby With Congenital Heart Disease in Taif, Saudi Arabia.

Background There is limited data on the awareness of risk factors associated with congenital heart diseases in Saudi Arabia. This study assesses females' knowledge of the risk factors that lead to giving birth to a child with congenital heart disease in Taif, Saudi Arabia. Methodology A cross-sectional study was done on 254 females. An online questionnaire was used to collect data about the participants' demographics and their knowledge of risk factors that lead to having a baby with congenital heart disease, including risks such as smoking, drinking alcohol, taking unprescribed medication, exercising, contracting German measles, developing thyroid disease, and not taking vitamins and folic acid, as well as genetic factors such as high blood pressure, diabetes, obesity, consanguineous marriage, advanced maternal age, and eating unhealthy food. Results The most common risk factors linked to newborns with congenital heart disorders (CHDs) are alcohol consumption (98.4%), smoking (96%), genetics (86.6%), high blood pressure (82.3%), diabetes (78.4%), and taking medication during pregnancy (74.4%). A little over 73.3% of the participants were aware that risk factors for preterm birth included not taking vitamins and folic acid during pregnancy, obesity (68.9%), contracting German measles while pregnant (68.5%), consanguineous marriage (62.2%), developing thyroid disease during pregnancy (56.7%), and advanced maternal age (50%); 11.4%, 46.1%, and 42.5% of the participants had poor, fair, and good understanding, respectively, of the risk factors for having a baby with congenital cardiac disease. There was no significant correlation between the participants' demographic characteristics and their levels of awareness. Conclusion There is a need for public programs to increase awareness about the risk factors associated with congenital heart diseases.