Induction of endoplasmic reticulum stress markers in an acromegaly model.
Abdalla ElbialyKaidiliayi SulidanAfsana BhuiyanYoji IgarashiKazutoshi YoshitakeDai YamanouchiJunsu KangShuichi AsakawaShugo WatabeShigeharu KinoshitaPublished in: Journal of cellular biochemistry (2022)
Acromegaly is a growth hormone (GH) excess pathological condition in humans. Acromegaly is associated with somatic disfigurement and a wide range of systemic manifestations such as arthritis, neuropathy, carpal tunnel syndrome, reproductive disorders, metabolic disorders, and gastrointestinal complications. The influence of excess GH on the cellular level could aid in understanding the root causes of acromegaly-related health complications. Previously, we found that GH excess induces DNA damage to somatic cells and reduces the stem cells number and causes premature aging. In this study, an in-depth analysis of the acromegaly RNAseq data revealed the disruption of important biological cellular processes. Gene set enrichment analysis, heatmap, and enrichment analysis of acromegaly RNAseq data revealed induction of endoplasmic reticulum (ER) stress markers in various organs. Interestingly, the induction of ER stress was even more apparent than in aged zebrafish. Splicing of box-binding protein-1 (XBP1) mRNA is a hallmark of ER stress. Therefore, we quantified spliced XBP1 mRNA in different organs of our acromegaly model. Thus, our study emphasizes the importance of ER stress in GH oversecretion, which is important for understanding the health complications of acromegaly.
Keyphrases
- growth hormone
- binding protein
- endoplasmic reticulum stress
- induced apoptosis
- stem cells
- dna damage
- healthcare
- public health
- endoplasmic reticulum
- mental health
- risk factors
- rheumatoid arthritis
- electronic health record
- gene expression
- magnetic resonance imaging
- oxidative stress
- single cell
- dna methylation
- cell death
- mesenchymal stem cells
- magnetic resonance
- health information
- genome wide
- deep learning
- diffusion weighted imaging