Dataset Information

Transcriptome sequencing and bioinformatics analysis of gastrocnemius muscle in type 2 diabetes mellitus rats

ABSTRACT: Objective Type 2 diabetes mellitus (T2DM) is one of the high risk factors for sarcopenia. However, the pathogenesis of diabetic sarcopenia has not been fully elucidated. This study obtained transcriptome profiles of gastrocnemius muscle in normal and T2DM rats based on high-throughput sequencing technology, which may provide new ideas for exploring the pathogenesis of diabetic sarcopenia. Methods Twelve adult male Sprague-Dawley rats were randomly divided into Control group and T2DM group, and gastrocnemius muscle tissue was retained for transcriptome sequencing and real-time quantitative polymerase chain reaction (qRT-PCR) 6 months later. Screening differentially expressed genes (DEGs), Cluster analysis, gene ontology (GO) functional annotation analysis and Kyoto Encyclopedia of Genes and Gnomes (KEGG) functional annotation and enrichment analysis were performed for DEGs. Six DEGs related to apoptosis were selected for qTR-PCR verification.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE268372 | GEO | 2024/05/31

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Skeletal muscle mitochondrial dysfunction is secondary to T2DM and can be improved by long-term regular exercise training Mitochondrial dysfunction has long been implicated to play a causative role in development of type 2 diabetes (T2DM). However, a growing number of recent studies provide data that mitochondrial dysfunction is a consequence of T2DM development. The aim of our study is to clarify in further detail the causal role of mitochondrial dysfunction in T2DM by a comprehensive ex vivo analysis of mitochondrial function combined with global gene expression analysis in muscle of pre-diabetic newly diagnosed untreated T2DM subjects and long-standing insulin treated T2DM subjects compared with age- and BMI-matched controls. In addition, we assessed the impact of long-term interval exercise training on physical activity performance, mitochondrial function and glycemic control in long-standing insulin-treated T2DM subjects. Ex vivo mitochondrial density, quality and functioning was comparable between pre-diabetic subjects and matched controls, however, gene expression analysis showed a switch from carbohydrate toward lipids as energy source in pre-diabetes subjects. In contrast, long-term insulin treated T2DM subjects had slightly decreased mitochondrial density and ex vivo function. Expression of Krebs cycle and OXPHOS related genes were decreased, indicating a decreased capacity to use lipids as an energy source. The insulin-treated T2DM subjects had a lower physical activity level than pre-diabetic and normoglycemic subjects. A 52 weeks exercise training of these subjects increased submaximal oxidative efficiency, increased in vivo PCr recovery rate, as well as mildly increased in vitro mitochondrial function. Gene expression of β-oxidation, Krebs cycle and OXPHOS-related genes was increased. Our data demonstrate that mitochondrial dysfunction is rather a consequence than a causative factor in T2DM development as it was only detected in overt diabetes and not in early diabetes. Regular exercise training stabilized exogenous insulin requirement and improved mitochondrial functioning, fatty acid oxidation and general physical work load capacity in long-standing insulin-treated T2DM subjects. As such, the present study shows for the first time that long-term exercise interventions are beneficial in this group of complex diabetes patient and may prevent further metabolic deterioration. Insulin-treated T2DM subjects before and after 52 weeks of exercise training (T2DM_0 and T2DM_52), normoglycemic controls (NGT) and pre-diabetes subjects (IGT) and were selected. RNA was extracted from skeletal muscle biopsies and hybridized on Affymetrix microarrays.

Project description:Aims: Sarcopenia is the degenerative loss of skeletal muscle mass and function at high age, which affects 5-13% of people aged 60-70 years. Although a number of factors have been linked to sarcopenia, it remains unclear what determines its emergence in some but not all individuals and there are no medical treatments available. Mice and rats are widely used as model organisms to identify factors predisposing to sarcopenia, but the extent to which age-related molecular changes in wild-type mice and rats recapitulate those occurring in humans is not known. The aim of this project was to define a conserved set of regulators of aging-related reduction in muscle function that could be targeted by future therapies. Methods: We comparatively analyzed phenotypic parameters as well as the transcriptomes of the Gastrocnemius muscle from mice, rats and humans of a wide range of ages. We further inferred computationally the transcription regulators that likely underlie the molecular changes associated with aging-related loss in muscle functionality. Results: The analysis showed that the biological age of rodents that muscle mass is a better indicator of muscle functionality than the chronological age. Investigating the molecular changes associated with the aging-related loss of muscle mass, we discovered changes in gene expression that are shared between the studied species at the level of molecular pathways rather than at the level of individual genes. Beyond the known involvement of inflammation and mitochondrial function in aging, we found that the transcription regulators SPIB, ESRRB and YY1/YY2 consistently underlie aging-related molecular changes across the studied species. Conclusions: Rodents recapitulate well the molecular changes observed in human sarcopenia, but the conservation is stronger at the molecular pathway level than at the level of individual genes. Phenotypic parameters such as the muscle mass should be taken into account in stratifying samples for analyzing aging-related processes, as the chronological age is a poorer indicator of organ functionality. The shared regulators of aging-related muscle loss that we identified here can be studied further in rodent models of sarcopenia toward defining new targets for therapy in humans.

Dataset Information

Transcriptome sequencing and bioinformatics analysis of gastrocnemius muscle in type 2 diabetes mellitus rats

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets