DOI 10.1016/j.namjnl.2025.100041
Exploring the Mechanisms of EDCs-Induced Metabolic Disorders in Humans Using Network Toxicology and Molecular Docking.
Аннотация
OBJECTIVE
This study aims to investigate the potential mechanisms by which EDCs, recognized as emerging pollutants, induce metabolic disorders leading to metabolic diseases in humans.
METHODS
Network toxicology and molecular docking techniques were employed to elucidate the molecular mechanisms underlying EDCs-induced pathogenesis of the six diseases. Potential targets associated with EDCs and these diseases were identified using databases such as PubChem, ChEMBL, Super-PRED, GeneCards, OMIM, and TTD. STRING analysis and Cytoscape software were further utilized to determine core targets most significantly linked to these metabolic disorders. GO and KEGG pathway enrichment analyses were performed on the core targets using the DAVID database. Finally, molecular docking was conducted to validate the binding affinities between EDCs and core target proteins.
RESULTS
EDCs may potentially induce metabolic disorders by modulating cellular expression, influencing apoptosis and proliferation, and regulating related signaling pathways. Notably, a close interrelationship was observed among lipid metabolism disorders and atherosclerosis, Alzheimer's disease, type 2 diabetes mellitus, osteoporosis, hyperuricemia, and non-alcoholic fatty liver disease.
CONCLUSION
This study provides novel insights into the mechanisms through which EDCs induce metabolic diseases in humans and highlights correlations among distinct disorders, thereby establishing a theoretical foundation for disease prevention and therapeutic strategies.
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.