Effect of Formaldehyde on Human Middle Ear Epithelial Cells.
Shin Hye KimJi-Woong ChoiMyung-Whan SuhJun Ho LeeSeung-Ha OhJae Jun SongMoo Kyun ParkPublished in: BioMed research international (2018)
Formaldehyde (FA) is a familiar indoor air pollutant found in everything from cosmetics to clothing, but its impact on the middle ear is unknown. This study investigated whether FA causes cytotoxicity, inflammation, or induction of apoptosis in human middle ear epithelial cells (HMEECs). Cell viability was investigated using the trypan blue assay and a cell counting kit (CCK-8) in HMEECs treated with FA for 4 or 24 h. The expression of genes encoding the inflammatory cytokine tumor necrosis factor alpha (TNF-α) and mucin (MUC5AC) was analyzed using RT-PCR. Activation of the apoptosis pathway was determined by measuring mitochondrial membrane potential (MMP), cytochrome oxidase, caspase-9/Mch6/Apaf 3, and Caspase-Glo® 3/7 activities. The CCK-8 assay and trypan blue assay results showed a reduction in cell viability in FA-treated HMEECs. FA also increased the cellular expression of TNF-α and MUC5AC and reduced the activities of MMP and cytochrome oxidase. Caspase-9 activity increased in cells stimulated for 4 h, as well as caspase-3/7 activity in cells stimulated for 24 h. The decreased cell viability, the induction of inflammation and mucin gene expression, and the activation of the apoptosis pathway together indicate a link between environmental FA exposure and the development of otitis media.
Keyphrases
- induced apoptosis
- oxidative stress
- cell cycle arrest
- cell death
- endoplasmic reticulum stress
- gene expression
- endothelial cells
- rheumatoid arthritis
- poor prognosis
- high throughput
- signaling pathway
- induced pluripotent stem cells
- atomic force microscopy
- dna methylation
- pluripotent stem cells
- stem cells
- genome wide
- air pollution
- binding protein
- cell migration
- bone marrow
- health risk
- transcription factor
- climate change
- long non coding rna
- high resolution
- high speed
- bioinformatics analysis