Dataset Information

Microarray analysis of mouse skeletal muscle atrophied by aging

ABSTRACT: Muscle atrophy is associated with aging (sarcopenia) and chronic unloading (such as bed confinement and immobilization with casts), as well as various pathological conditions such as type 1 diabetes and nerve injury (denervation). Skeletal muscle tissues of young mice (13 weeks old, male) and old mice (25 months old, male) were collected and RNA extracted. Expression of Dnmt3a was reduced while expression of Gdf5 was increased in old mice compared to young mice.

ORGANISM(S): Mus musculus

PROVIDER: GSE97314 | GEO | 2019/04/01

REPOSITORIES: GEO

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Project description:Abstract Background: The prevalence of sarcopenia is increasing and effective interventions are required to prevent or reverse age-related muscle loss. However it is often challenging expensive and time-consuming to develop and test the effectiveness of such interventions. Furthermore translational animal models that adequately mimic underlying physiological pathways are scarce. Strong predictors for the incidence of sarcopenia include a sedentary life-style and malnutrition. Therefore our objective was to investigate the translational value of three potential mouse models for sarcopenia namely partial immobilized caloric restricted (CR) and a combination (immobilized & CR) model. Methods: C57BL/6J mice were calorically restricted (-40%) and/or one hindleg was immobilized for two weeks to induce loss of muscle mass and function. Muscle mass function and diameter and distribution of slow (type 1) and fast ( type 2) myofibers were compared to those of young control (4 months) and old reference mice (21 months). Transcriptome analysis of quadriceps muscle was performed to identify underlying pathways and were compared with those being expressed in aged human vastus lateralis muscle-biopsies using a meta-analysis of five different human studies. Results: Caloric restriction induced overall loss of lean body mass (-15% p<0.001) whereas immobilization decreased muscle strength (-28% p<0.001) and muscle mass of hindleg muscles specifically (on average -25% p<0.001). The proportion of slow myofibers increased with aging in mice (+5% p<0.05) and this was not recapitulated by the CR and/or immobilization models. The diameter of fast myofibers decreased with aging (-7% p<0.05) and this was mimicked by all models. Transcriptome analysis revealed that the combination of CR and immobilization recapitulated more pathways characteristic for human muscle-aging (73%) than naturally aged (21 months old) mice (45%). These pathways included critical pathways relevant for protein synthesis/ breakdown (mitochondrial) metabolism neurology and the vascular system. Conclusions: The combination model exhibits loss of both muscle mass (due to CR) and function (due to immobilization) and has a remarkable similarity with pathways underlying human sarcopenia. Our results demonstrate that naturally aging up to 21 months in mice only partially recapitulates the human pathology with fewer overlapping pathways than the combination model. These findings underline that external factors such as sedentary behavior and malnutrition are key elements of a translational mouse model and favor the combination model as a rapid model for testing the treatments against sarcopenia.

Dataset Information

Microarray analysis of mouse skeletal muscle atrophied by aging

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