Liquid Crystal Monomer: A Potential PPARγ Antagonist.
Haoduo ZhaoCaixia LiMihir Yogesh NaikJia WuAngelysia CardillaMin LiuFanrong ZhaoShane Allen SnyderYun XiaGuanyong SuMingliang FangPublished in: Environmental science & technology (2023)
Liquid crystal monomers (LCMs) are a large family of artificial ingredients that have been widely used in global liquid crystal display (LCD) industries. As a major constituent in LCDs as well as the end products of e-waste dismantling, LCMs are of growing research interest with regard to their environmental occurrences and biochemical consequences. Many studies have analyzed LCMs in multiple environmental matrices, yet limited research has investigated the toxic effects upon exposure to them. In this study, we combined in silico simulation and in vitro assay validation along with omics integration analysis to achieve a comprehensive toxicity elucidation as well as a systematic mechanism interpretation of LCMs for the first time. Briefly, the high-throughput virtual screen and reporter gene assay revealed that peroxisome proliferator-activated receptor gamma (PPARγ) was significantly antagonized by certain LCMs. Besides, LCMs induced global metabolome and transcriptome dysregulation in HK2 cells. Notably, fatty acid β-oxidation was conspicuously dysregulated, which might be mediated through multiple pathways (IL-17, TNF, and NF-kB), whereas the activation of AMPK and ligand-dependent PPARγ antagonism may play particularly important parts. This study illustrated LCMs as a potential PPARγ antagonist and explored their toxicological mode of action on the trans-omics level, which provided an insightful overview in future chemical risk assessment.
Keyphrases
- high throughput
- single cell
- fatty acid
- risk assessment
- human health
- insulin resistance
- rna seq
- oxidative stress
- heavy metals
- induced apoptosis
- genome wide
- skeletal muscle
- crispr cas
- nitric oxide
- metabolic syndrome
- diabetic rats
- life cycle
- copy number
- case control
- protein kinase
- toll like receptor
- high speed
- endoplasmic reticulum stress
- genome wide analysis