科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Bioinformation2026-01-01

Computational insights for target prioritization and pesticide effects on intrauterine growth restriction (IUGR).

Adarsh Kumar Shukla, Anuj Kumar Tyagi, Sandeep Kumar

原始摘要(英文原文)· Original abstract
Intrauterine growth restriction (IUGR) is a leading cause of maternal and neonatal morbidity and mortality, particularly in low- and middle-income countries. Placental transcriptomics data were analysed to mapped dysregulated pathways via STRING-based PPI networks, identifying hubs and validating pesticide targets by molecular simulations. Rank-based prioritization identified IL7R, LCK and ZAP70 as top hub proteins driving placental dysfunction with cypermethrin exhibiting the lowest binding affinities across them (docking scores: -7.7, -8.7, -9.3 kcal/mol, respectively). Molecular dynamics simulations confirmed the stability of these docked complexes, while toxicity profiling indicated genotoxic potential for permethrin and high aquatic toxicity for deltamethrin. Thus, we show the critical molecular mediators linking pyrethroid exposure to IUGR, suggesting further experimental validation to support maternal health risk assessment.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

Computational insights for target prioritization and pesticide effects on intrauterine growth restriction (IUGR). — 科研速览 Science Skim