👤 Desu Gayathri Niharika

Epilepsy is a debilitating neurological disorder that impacts approximately 50 million people worldwide. The treatment of epilepsy with antiepileptic drugs has not achieved effective seizure management and thus requires new therapeutic options. This study investigated the catechins' affect on epilepsy-related molecular targets using a computational method that combined network pharmacology, molecular docking, and molecular dynamics (MDs) simulation. We fetched 84 catechins-related and 5356 disease-associated targets from various databases, yielding 31 common targets. The protein-protein interaction (PPI) network of 31 common targets identified 10 hub genes, including ALB, INS, brain-derived neurotrophic factor (BDNF), PTGS2, tumor necrosis factor (TNF), IL1B, FOS, IL6, LEP, and FGF2. Further, the functional enrichment analysis revealed that these common targets have a high prevalence in multiple pathways and gene ontology functions. Furthermore, "compound-target" and "compound-gene-pathway" networks were constructed and analyzed. Network pharmacology data show TNF, IL1B, and IL6 could influence epilepsy treatment by regulating several pathways. The Cresset Flare Pro+ docking study unveiled that the lead catechin, epigallocatechin gallate (EGCG), exhibited the highest Lead Finder (LF) dG scores of -10.2, -9.40, and -8.15 kcal/mol against TNF, IL6, and IL1B, respectively. The electrostatic complementarity and Molecular Mechanics with Generalized Born and surface area (MMGBSA) results supported the docking results. Further, the stability of EGCG-bound complexes was analyzed using a 300 ns MD simulation. The principal component analysis yielded promising results for the EGCG-2AZ5 and EGCG-1ALU complexes collective motion. These findings provide computational evidence suggesting that EGCG has a promising scaffold for designing multi-target molecules that could modulate epilepsy, meriting further experimental validation. Show less

Phthalates are well-known emerging contaminants in the environment and food packaging, posing serious risks to human health as endocrine disruptors with significant neurotoxic potential. Epidemiological and experimental evidence have linked early-life phthalate exposure to neurodevelopmental disorders, including attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). However, the precise molecular mechanisms responsible for these associations remain poorly understood. This study aimed to comprehensively investigate the putative toxic targets and molecular pathways underlying phthalate-induced ADHD and ASD through integrated network toxicology and molecular docking approaches. Targets related to phthalates, ADHD, and ASD were extracted from various databases, yielding 21 potential targets associated with ADHD and ASD, which are common to the studied phthalates. Network analysis highlighted BDNF and ESR1 as the top two core targets. Functional enrichment analyses demonstrated that the core targets are involved in multiple pathways. Furthermore, the GEO database was queried to identify differentially expressed genes (DEGs) and gene modules through Weighted Gene Co-expression Network Analysis (WGCNA) using the R package. Moreover, molecular docking demonstrated high binding affinity between phthalates and core targets, with di(2-ethylhexyl) phthalate with BDNF and diisononyl phthalate with ESR1, emphasizing the potential role of phthalate exposure in neurodevelopmental disorders. The stability of these complexes was demonstrated through molecular dynamics simulations, which confirmed their binding interactions remained constant throughout the simulation. Our findings contribute to a deeper understanding of the intricate molecular mechanisms of phthalate-induced neurotoxicity, offering a valuable foundation for the development of future therapeutic strategies to mitigate their adverse effects on neurodevelopment. Show less