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Sperm deficiency and a variety of inflammatory factors, including tumor necrosis factor alpha, have been attributed to Muscle atrophy in postmenopausal women. We show that PNF reduces TNF-induced skeletal muscle atrophy following menopause by restoring mitochondrial biosynthesis. PNF improved muscle function in OVX mice, according to behavioural, rotarod, and inverted screen tests. The results of mitofusin 1 and -2, as well as dynamin-related protein and fission 1 have been restored by the ER. PNF can therefore, prevent muscle atrophy in postmenopausal women by blocking dysfunctional mitochondrial biogenesis.
Source link: https://europepmc.org/article/MED/35455387
acetaldehyde is derived from ethanol and is detoxified by Aldehyde dehydrogenase 2 in a natural manner. In ALDH2, a misshapen single nucleotide polymorphism rs671 exhibits a dominant-negative form of the ALDH2 protein. We investigated the effect of ALDH2 deficiency on age-related muscle atrophy and its root mechanisms in this research. We discovered that ALDH2 deficiency leads to the age-related reduction of muscle fiber cross-sectional areas, particularly in oxidative fibers. In the same way, mitochondrial reactive oxygen species production in aged ALDH2-knockout mice increased, suggesting that ALDH2 deficiency causes mitochondrial dysfunction.
Source link: https://europepmc.org/article/MED/35318866
This paper discusses multi-modal gene disease and disease drug networks by linking prediction algorithms to a variety of drugs for repurposing to prevent skeletal muscle atrophy. Using graph theoretic network analysis, graph theoretic network analysis was found in mouse and right extensor digitorum longus muscle tissue, gastrocnemius, quadriceps, and the left and right soleus muscles, as shown by GeneLab's transcriptomic data. The gene disease knowledge graph was built using the scalable precision medicine knowledge engine. To find top ranked drugs for therapeutic treatment of skeletal muscle atrophy, link prediction techniques were applied to the disease drug networks in order to find top-ranked drugs for therapeutic treatment of skeletal muscle atrophy. Based on receiver operating characteristic curves and forecast accuracies, the graph convolution network does best in link estimation based on receiver operating characteristic curves and forecast accuracies. The key genes that contribute to skeletal muscle atrophy are correlated with metabolic and neurodegenerative disorders.
Source link: https://europepmc.org/article/MED/35328027
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