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

Created on 06 Sep 2026

Authors

Adarsh Kumar Shukla, Anuj Kumar Tyagi, Sandeep Kumar

Published in

Bioinformation. Volume 22. Issue 6. Pages 3501-3509. Epub Jun 30, 2026.

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.

PMID:
42701720
Bibliographic data and abstract were imported from PubMed on 06 Sep 2026.

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