👤 Fatima Aslam

Prosopis cineraria is traditionally used to enhance cognitive function and manage mental disorders. Its stem bark is valued in ethnomedicine, but its potential anti-Alzheimer's disease (AD) effects are scientifically unexplored. This research has examined the neuroprotective effects of the ethyl acetate fraction of P. cineraria bark (Pc-EA) against AlCl Diseased rats were treated with Pc-EA (30, 100, and 300 mg/kg) for 42 days. Cognitive and affective functions were evaluated with behavioral tests on days 29-42. Biochemical assays measured oxidative stress and cholinesterase activity, while RT-PCR quantified neuroinflammatory markers. Histopathological examination was performed to evaluate the integrity of hippocampal regions. Bioactive compounds were identified by phytochemical profiling (HPLC, GC-MS), and molecular docking was performed to assess binding interactions with acetylcholinesterase. AlCl Pc-EA demonstrated multi-targeted neuroprotection in AlCl Show less

Identifying new genetic variants linked to plasma lipoprotein-lipid concentrations is of significant public health importance, as it can aid in developing genetic markers for CVD risk assessment, diagnosis, and prognosis. Our work aimed to investigate the relationship between lipoprotein lipase (LPL) genetic polymorphisms and hyperlipidemia in Pakistani population. To achieve this goal, 400 blood samples were obtained. DNA was extracted for the measurement of biochemical variables and genetic profiling. A lipid lowering agent, fibrate (200mg/day) is administered to the patients for two months. The online genetic epidemiology tool (http/www.oege.org) was used to determine the allelic and genomic frequencies. Odds ratio (OR) and 95% CI were calculated by chi-square. Single nucleotide polymorphism (SNP) in LPL gene, rs258 (T > C) and rs268 (A>G) were genotyped in 300 hypertriglyceridemia patients and 100 healthy/control individuals. The LPL gene showed a significant association with a high risk of hyperlipidemia diseases when differentiate the genotype evaluations between treated and untreated patients. Lipid levels were significantly (p<0.05) reduced after treatment. LPL SNP rs258 and rs268 were observed to be associated to hypertriglyceridemia in the Pakistani patients. Fibrate therapy showed a positive effect on the serum lipid levels after treating the patients with 200mg/day for two months. Show less

Hypertrophic cardiomyopathy (HCM), associated with left ventricular hypertrophy, can lead to significant morbidity. Given the hereditary association, identifying population-specific genetic markers and gender disparities could enable better screening and management strategies. The study aimed to observe the genetic patterns of HCM and investigate its gender associations among the Indian population. A prospective analysis was performed based on the medical records of patients with HCM. Genetic testing was conducted among those with a family history of HCM or sudden cardiac death. Genetic testing results, echocardiography, and clinical outcomes were documented. The prevalence of HCM types and genetic abnormalities were estimated in the study population and were compared between the two genders. The study included 103 patients with a mean age of 56.3 ± 13.9 years. Genetic analysis was conducted in 48/103 individuals based on the hereditary linkage. Only 50% of the 48 individuals had known genes associated with HCM. About 48% had apical or midapical HCM, and 31.1% had reverse curvature HCM. About 38% of apical and 60% of neutral or reverse curvature were associated with genetic abnormalities. The more commonly associated genes were MYBPC3 and MYH7. The current study also identified genetic variants in several emerging genes in Indian HCM patients. Our study findings indicate that the prevalence of different types of HCM is different in the Indian population. With only 50% of the hereditary HCM linked to known genes, the study calls for further screening of genes associated with HCM in the Indian population. Show less

Cardiovascular disease (CVD) is a group of diseases, affecting the human heart and accounting for 30% of deaths worldwide. Major CVDs include heart failure, hypertension, stroke, etc. Various therapeutics are available against CVD, still there is a dire need to find out potential protein drug targets to reduce economic burden and mortality rate. Goal of the current study was to utilize sequential computational techniques to find the best cardiovascular drug targets and their inhibitors. Common human cardiovascular targets of both databases (GeneCards and Uniprot) were subjected to bioinformatics analyses. Purpose was to validate putative therapeutic targets employing the structure-based bioinformatics methods to determine their physiochemical properties and biological processes. Three stable proteins, that have 0 transmembrane helices, and possess biological processes were screened as potential protein-based therapeutic targets: Hemoglobin subunit beta (HBB), Gamma-enolase (ENO2), and Cholesteryl ester transfer protein (CETP). Tertiary structures of target proteins were retrieved from PDB, and molecular docking technique was utilized to evaluate a library of 5000 phytochemicals against the interacting residues of the target protein as well as their respective standard drugs through MOE and Pyrx software. Top five phytochemicals (d-Sesamin, 1,3-benzodioxole, Sativanone, Thiamine, and Cajanol) were identified based on their RMSD and docking scores as compared to their standard drugs. The docking studies were also validated by MM-GBSA binding free energy and molecular dynamics simulations. According to the study's findings, these phytochemicals may eventually be used as drugs to treat CVD. Further Show less