RESULTS:
1 - 2 of 2 for ""PPARGC1A""
High-Intense Interval Training Prevents Cognitive Impairment and Increases the Expression of Muscle Genes FNDC5 and PPARGC1A in a Rat Model of Alzheimer's Disease
Background: Alzheimer's disease is the most common neurodegenerative disease in the world characterized by the progressive loss of neuronal structure and function whose main histopathological landmark is the accumulation of β-amyloid in the brain. Objective: It is well known that exercise is a neuroprotective factor and that muscles produce and release myokines that exert endocrine effects in inflammation and metabolic dysfunction. Thus this work intends to establish the relationship between the benefits of exercise through the chronic training of HIIT on cognitive damage induced by the Alzheimer's model by the injection of β amyloid1-42. Methods: For this purpose forty-eight male Wistar rats were divided into four groups: Sedentary Sham (SS) Trained Sham (ST) Sedentary Alzheimer’s (AS) and Trained Alzheimer’s (AT). Animals were submitted to stereotactic surgery and received a hippocampal injection of Aβ1-42 or a saline solution. Seven days after surgery twelve days of treadmill adaptation followed by five maximal running tests (MRT) and fifty-five days of HIIT rats underwent the Morris water maze test. The animals were then euthanized and their gastrocnemius muscle tissue was extracted to analyze the Fibronectin type III domain containing 5 (FNDC5) PPARG Coactivator 1 Alpha (PPARGC1A) and Integrin subunit beta 5 (ITGB5-R) expression by qRT-PCR in addition to cross-sectional areas. Results: The HIIT prevents the cognitive deficit induced by the infusion of amyloid β1-42 (p < 0.0001) causes adaptation of muscle fibers (p < 0.0001) modulates the gene expression of FNDC5 (p < 0.01) ITGB5 (p < 0.01) and PPARGC1A (p < 0.01) and induces an increase in peripheral protein expression of FNDC5 (p < 0.005). Conclusion: Thus we conclude that HIIT can prevent cognitive damage induced by the infusion of Aβ1-42 constituting a non-pharmacological tool that modulates important genetic and protein pathways.
A Method for Predicting Allelic Variants of Single Nucleotide Polymorphisms
Single nucleotide polymorphisms (SNPs) are pivotal in clinical genetics serving to link genotypes with disease susceptibility and response to environmental factors including pharmacogenetics. They also play a crucial role in population genetics for mapping the human genome and localizing genes. Despite their utility challenges arise when molecular genetic studies yield insufficient or uninformative data particularly for socially significant diseases. This study aims to address these gaps by proposing a method to predict allelic variants of SNPs.
Using quantitative PCR and analyzing body composition data from 150 patients with their voluntary informed consent we employed IBM SPSS Statistics 29.0 for data analysis. Our prototype formula exemplified by allelic variant ADRB2 (rs1042713) = 0.257 + 0.639 * allelic variant ADRB2 (rs1042714) - 0.314 * allelic variant ADRB3 (rs4994) + 0.191 * allelic variant PPARA (rs4253778) - 0.218 * allelic variant PPARD (rs2016520) + 0.027 * body weight + 0.00001 * body weight2 demonstrates the feasibility of predicting SNP allelic variants.
This method holds promise for diverse diseases including those of significant social impact due to its potential to streamline and economize molecular genetic research. Its ability to stratify disease risk in the absence of complete SNP data makes it particularly compelling for clinical and laboratory geneticists.
However its translation into clinical practice necessitates the establishment of a comprehensive SNP database especially for frequently analyzed SNPs within the implementing institution.