Dapagliflozin Mitigated Elevated Disomic and Diploid Sperm in a Mouse Model of Diabetes and Recover the Disrupted Ogg1 , Parp1 , and P53 Gene Expression.
Norah A AlbekairiMohammed A Al-HamamahAli A AlshamraniMohamed S M AttiaAhmed NadeemMushtaq Ahmad AnsariSheikh Fayaz AhmadSaleh A BakheetSabry M AttiaPublished in: Biomedicines (2023)
Increases in numerical chromosomal syndromes were observed in children of diabetic mothers. However, the effects of diabetes on male reproduction, specifically numerical chromosomal aberrations (aneuploidy), have not been studied. Furthermore, despite the increasing use of dapagliflozin for diabetes treatment, no data exists on its ability to affect aneuploidy levels in germ cells. Thus, our investigation aimed to evaluate the effects of diabetes on spontaneous sperm aneuploidy and whether treatment with dapagliflozin influences the frequency of aneuploidy in the sperm of an experimental diabetic animal model. Our findings show that dapagliflozin has no aneugenic effects on the meiotic stages of spermatogenesis. In contrast, diabetes raised the frequency of aneuploidy, and dapagliflozin administration decreased the elevated levels of disomic and diploid sperm. The level of oxidative stress was markedly increased in diabetic mice, but were reduced by dapagliflozin treatment. Furthermore, the expression of some of DNA repair genes was disrupted in diabetic animals, whereas dapagliflozin therapy restored these disruptions and significantly enhanced DNA repair. Thus, dapagliflozin may effectively ameliorate diabetes-induced aneugenic effects on male meiosis and treating diabetic patients with dapagliflozin may effectively mitigate the transmission of diabetes-induced chromosomal defects to offspring.
Keyphrases
- type diabetes
- dna repair
- cardiovascular disease
- glycemic control
- dna damage
- gene expression
- oxidative stress
- mouse model
- diabetic rats
- wound healing
- young adults
- magnetic resonance
- induced apoptosis
- copy number
- stem cells
- high glucose
- computed tomography
- insulin resistance
- adipose tissue
- skeletal muscle
- deep learning
- machine learning
- dna methylation
- combination therapy
- cell therapy
- weight loss