Effects of Age and MPTP-Induced Parkinson's Disease on the Expression of Genes Associated with the Regulation of the Sleep-Wake Cycle in Mice.
Ekaterina I SemenovaMargarita M RudenokIvan N RybolovlevMarina V ShulskayaMaria V LukashevichSuzanna A PartevianAlexander I BudkoMaxim S NesterovDenis A AbaimovPetr A SlominskyMaria I ShadrinaAnelya Kh AlievaPublished in: International journal of molecular sciences (2024)
Parkinson's disease (PD) is characterized by a long prodromal period, during which patients often have sleep disturbances. The histaminergic system and circadian rhythms play an important role in the regulation of the sleep-wake cycle. Changes in the functioning of these systems may be involved in the pathogenesis of early stages of PD and may be age-dependent. Here, we have analyzed changes in the expression of genes associated with the regulation of the sleep-wake cycle ( Hnmt , Hrh1 , Hrh3 , Per1 , Per2 , and Chrm3 ) in the substantia nigra (SN) and striatum of normal male mice of different ages, as well as in young and adult male mice with an MPTP-induced model of the early symptomatic stage (ESS) of PD. Age-dependent expression analysis in normal mouse brain tissue revealed changes in Hrh3 , Per1 , Per2 , and Chrm3 genes in adult mice relative to young mice. When gene expression was examined in mice with the MPTP-induced model of the ESS of PD, changes in the expression of all studied genes were found only in the SN of adult mice with the ESS model of PD. These data suggest that age is a significant factor influencing changes in the expression of genes associated with sleep-wake cycle regulation in the development of PD.
Keyphrases
- poor prognosis
- high fat diet induced
- gene expression
- sleep quality
- physical activity
- high glucose
- binding protein
- ejection fraction
- drug induced
- newly diagnosed
- dna methylation
- adipose tissue
- endothelial cells
- oxidative stress
- single cell
- genome wide identification
- middle aged
- electronic health record
- big data
- patient reported outcomes
- transcription factor
- childhood cancer
- bioinformatics analysis