Transcriptomic Integration Analyses Uncover Common Bisphenol A Effects Across Species and Tissues Primarily Mediated by Disruption of JUN/FOS, EGFR, ER, PPARG, and P53 Pathways.
Renjun YangYuanping LuNuoya YinFrancesco FaiolaPublished in: Environmental science & technology (2023)
Bisphenol A (BPA) is a common endocrine disruptor widely used in the production of electronic, sports, and medical equipment, as well as consumer products like milk bottles, dental sealants, and thermal paper. Despite its widespread use, current assessments of BPA exposure risks remain limited due to the lack of comprehensive cross-species comparative analyses. To address this gap, we conducted a study aimed at identifying genes and fundamental molecular processes consistently affected by BPA in various species and tissues, employing an effective data integration method and bioinformatic analyses. Our findings revealed that exposure to BPA led to significant changes in processes like lipid metabolism, proliferation, and apoptosis in the tissues/cells of mammals, fish, and nematodes. These processes were found to be commonly affected in adipose, liver, mammary, uterus, testes, and ovary tissues. Additionally, through an in-depth analysis of signaling pathways influenced by BPA in different species and tissues, we observed that the JUN/FOS, EGFR, ER, PPARG, and P53 pathways, along with their downstream key transcription factors and kinases, were all impacted by BPA. Our study provides compelling evidence that BPA indeed induces similar toxic effects across different species and tissues. Furthermore, our investigation sheds light on the underlying molecular mechanisms responsible for these toxic effects. By uncovering these mechanisms, we gain valuable insights into the potential health implications associated with BPA exposure, highlighting the importance of comprehensive assessments and awareness of this widespread endocrine disruptor.
Keyphrases
- gene expression
- small cell lung cancer
- healthcare
- signaling pathway
- transcription factor
- induced apoptosis
- cell cycle arrest
- epidermal growth factor receptor
- tyrosine kinase
- single cell
- public health
- genetic diversity
- oxidative stress
- endoplasmic reticulum stress
- climate change
- dna methylation
- optical coherence tomography
- insulin resistance
- genome wide
- cell proliferation
- cell death
- risk assessment
- big data
- breast cancer cells
- single molecule
- endoplasmic reticulum
- deep learning
- artificial intelligence