Control of Protein and Energy Metabolism in the Pituitary Gland in Response to Three-Week Running Training in Adult Male Mice

• Published in: Cells (Basel, Switzerland) Vol. 10; no. 4; p. 736
• Main Authors: Walz, Christina, Brenmoehl, Julia, Trakooljul, Nares, Noce, Antonia, Caffier, Caroline, Ohde, Daniela, Langhammer, Martina, Wimmers, Klaus, Ponsuksili, Siriluck, Hoeflich, Andreas
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26-03-2021; MDPI
• Subjects: Animals; DUhTP mice; Energy metabolism; Exercise; Fitness equipment; Gene expression; Genomes; Growth hormones; Inbreeding; Marathons; Metabolism; Oxidative phosphorylation; pathway analysis; Phenotypes; Phosphorylation; Physical activity; Physical fitness; Pituitary; Pituitary gland; Protein turnover; ribosome synthesis; Running; Thyroid gland; treadmill training; United States > US; Germany; miR-124; DUhTP mice; ribosome synthesis; treadmill training; pathway analysis; pituitary gland; oxidative phosphorylation
• ISSN: 2073-4409; 2073-4409
• DOI: 10.3390/cells10040736

It is assumed that crosstalk of central and peripheral tissues plays a role in the adaptive response to physical activity and exercise. Here, we wanted to study the effects of training and genetic predisposition in a marathon mouse model on mRNA expression in the pituitary gland. Therefore, we used a mouse model developed by phenotype selection for superior running performance (DUhTP) and non-inbred control mice (DUC). Both mouse lines underwent treadmill training for three weeks or were kept in a sedentary condition. In all groups, total RNA was isolated from the pituitary gland and sequenced. Molecular pathway analysis was performed by ingenuity pathway analysis (IPA). Training induced differential expression of 637 genes (DEGs) in DUC but only 50 DEGs in DUhTP mice. Genetic selection for enhanced running performance strongly affected gene expression in the pituitary gland and identified 1732 DEGs in sedentary DUC versus DUhTP mice. Training appeared to have an even stronger effect on gene expression in both lines and comparatively revealed 3828 DEGs in the pituitary gland. From the list of DEGs in all experimental groups, candidate genes were extracted by comparison with published genomic regions with significant effects on training responses in mice. Bioinformatic modeling revealed induction and coordinated expression of the pathways for ribosome synthesis and oxidative phosphorylation in DUC mice. By contrast, DUhTP mice were resistant to the positive effects of three-week training on protein and energy metabolism in the pituitary gland.