Endoplasmic reticulum stress is involved in spiral ganglion neuron apoptosis following chronic kanamycin-induced deafness.
Yaqin TuGuorun FanHaiying SunXiong CaiWen KongPublished in: Bioscience reports (2019)
Aminoglycoside antibiotics-induced hearing loss is a common sensorineural impairment. Spiral ganglion neurons (SGNs) are first-order neurons of the auditory pathway and are critical for the maintenance of normal hearing. In the present study, we investigated the time-course of morphological changes and the degeneration process of spiral ganglion cells (SGCs) following chronic kanamycin-induced deafness and determined whether the endoplasmic reticulum (ER) stress was involved in the degeneration of SGNs. We detected density changes in SGCs and the expressions of Bip, inositol requirement 1 (IRE1)α, activating transcription factor-6α, p-PERK, p-eIF2α, CHOP, and caspase-12 at each time point after kanamycin treatment. Terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) staining was also performed. The number of SGC deletions reached ∼50% at the 70th day after kanamycin administration and the ER of most SGCs were dilated. The expression of p-PERK, p-eIF2α, p-IRE1α, Bip, caspase-12, and Chop was significantly unregulated after kanamycin treatment. The number of SGCs that were positive for both TUNEL and caspase-12 increased from day 7 to 28. Taken together, these data demonstrate that ER stress was involved in kanamycin-induced apoptosis of SGNs. Kanamycin-induced SGN apoptosis is mediated, at least in part, by ER stress-induced upregulation of CHOP and caspase-12.
Keyphrases
- endoplasmic reticulum stress
- induced apoptosis
- hearing loss
- endoplasmic reticulum
- high glucose
- diabetic rats
- oxidative stress
- signaling pathway
- stress induced
- transcription factor
- drug induced
- diffuse large b cell lymphoma
- cell death
- endothelial cells
- poor prognosis
- spinal cord
- cell cycle arrest
- spinal cord injury
- cystic fibrosis
- long non coding rna
- estrogen receptor
- high resolution
- artificial intelligence
- breast cancer cells
- binding protein
- replacement therapy
- high speed