Muscle-muscle crosstalk and potential therapies for muscle wasting diseases: does exercise matter?

Dear Editor-in-ChiefDifferent types of exercise training with increasing muscle contraction can stimulate muscle secretome called myokines. Myokines are the main mediators of maintaining muscle structure and function in manner of autocrine and paracrine. These myokines can both affect distant tissues and have positive effects on muscle tissue itself (Chen, Wang, You, & Shan, 2021). In various diseases leading to muscle wasting, it seems that exercise and increased contraction can reduce the rate of muscle wasting and muscle atrophy by regulating myokines. Myostatin is a myokine that negatively regulates skeletal muscle development. In animal models, myostatin degradation has been shown to increase muscle mass and inhibit myostatin signals which can control the loss of muscle mass due to cancer cachexia (X. Zhou et al., 2010). Zhou et al. (2021) showed that exercise training (strength or balance in combination with endurance training) seems to be effective in preventing sarcopenia and maintaining muscle mass in non-dialysis-dependent patients with chronic kidney disease (CKD) with inhibition of myostatin signaling (Y. Zhou, Hellberg, Hellmark, Höglund, & Clyne, 2021).Apelin is another myokine that decreases in age-dependent manner (Vinel et al., 2018). Apelin signaling in aging helps to increase muscle function by stimulating mitochondrial biogenesis and anti-inflammatory pathways in myofibers and improving regenerative capacity by targeting muscle stem cells (Vinel et al., 2018). It has been shown that exercise can positively regulate the Apelin and improve muscle growth. Apelin, an exerkine, is elevated due to maternal exercise, and maternal apelin administration mirrors the effect of maternal exercise on mitochondrial biogenesis in fetal muscle (Son et al., 2020). In other words, Apelin inhibits skeletal muscle dysfunction.Leukemia inhibitory factor (LIF) is primarily expressed at low levels in type 1 muscle fibers. LIF has been shown to affect the growth and regeneration of skeletal muscle. For example, the expression of LIF protein in rat plantaris muscle is increased by mechanical load (Sakuma et al., 1998). Furthermore, LIF stimulates the hypertrophic response to increased load in the animal model, and in this respect LIF has been shown to be an important factor in skeletal muscle hypertrophy. In addition, LIF mRNA increases in human skeletal muscle following muscle damage leading to better repair. Therefore, this factor secreted by skeletal muscle can increase in various injuries and diseases with exercise and controls muscle wasting. Irisin is one of the most important muscle myokines that is secreted from muscle tissue through exercise and has auto and paracrine effects. It was shown that the injection of irisin induced muscle hypertrophy, improved muscle strength and reduced necrosis and development of connective tissue in a murine model (Reza et al., 2017). Therefore, increasing this factor with exercise can counteract cachexia and atrophy.Musclin is an exercise-responsive myokine associated with plasma atrial NP (ANP) and cyclic guanosine monophosphate (cGMP) and the expression of the peroxisome proliferator-activated receptor γ coactivator 1-α (PGC1-α) expression in skeletal muscle after exercise training (Subbotina et al., 2015). Musclin helps increase exercise capacity by increasing mitochondrial biogenesis in mice (Subbotina et al., 2015). In addition to its role in exercise, Musclin reduces muscle tissue damage during the development of cachexia-induced tumors and has beneficial effects on cancer patients at risk for cachexia (Re Cecconi et al., 2019). C - X - C motif chemokine ligand 12 (CXCL12) is another type of myokine that is involved in the growth of skeletal muscle. CXCL12 helps proliferate myogenic and angiogenic somite progenitor cells and controls myotoma formation (Abduelmula et al., 2016). Moreover, it has been shown that the concentration of plasma CXCL12 is enhanced in response to training on a bicycle ergometer (Wang, Lee, Lien, & Weng, 2014). Overall, muscle - muscle crosstalk with several myokines mediates the beneficial effects of exercise training, including regulating muscle growth, preventing muscle loss, and increasing muscle function and regeneration, and these factors can decrease muscle wasting diseases

Deep Q‐learning recommender algorithm with update policy for a real steam turbine system

Abstract In modern industrial systems, diagnosing faults in time and using the best methods becomes increasingly crucial. It is possible to fail a system or to waste resources if faults are not detected or are detected late. Machine learning and deep learning (DL) have proposed various methods for data‐based fault diagnosis, and the authors are looking for the most reliable and practical ones. A framework based on DL and reinforcement learning (RL) is developed for fault detection. The authors have utilised two algorithms in their work: Q‐Learning and Soft Q‐Learning. Reinforcement learning frameworks frequently include efficient algorithms for policy updates, including Q‐learning. These algorithms optimise the policy based on the predictions and rewards, resulting in more efficient updates and quicker convergence. The authors can increase accuracy, overcome data imbalance, and better predict future defects by updating the RL policy when new data is received. By applying their method, an increase of 3%–4% in all evaluation metrics by updating policy, an improvement in prediction speed, and an increase of 3%–6% in all evaluation metrics compared to a typical backpropagation multi‐layer neural network prediction with comparable parameters is observed. In addition, the Soft Q‐learning algorithm yields better outcomes compared to Q‐learning

Avian influenza virus monitoring in wintering waterbirds in Iran, 2003-2007

<p>Abstract</p> <p>Background</p> <p>Virological, molecular and serological studies were carried out to determine the status of infections with avian influenza viruses (AIV) in different species of wild waterbirds in Iran during 2003-2007. Samples were collected from 1146 birds representing 45 different species with the majority of samples originating from ducks, coots and shorebirds. Samples originated from 6 different provinces representative for the 15 most important wintering sites of migratory waterbirds in Iran.</p> <p>Results</p> <p>Overall, AIV were detected in approximately 3.4% of the samples. However, prevalence was higher (up to 8.3%) at selected locations and for certain species. No highly pathogenic avian influenza, including H5N1 was detected. A total of 35 AIVs were detected from cloacal or oropharyngeal swab samples. These positive samples originated mainly from Mallards and Common Teals.</p> <p>Of 711 serum samples tested for AIV antibodies, 345 (48.5%) were positive by using a nucleoprotein-specific competitive ELISA (NP-C-ELISA). Ducks including Mallard, Common Teal, Common Pochard, Northern Shoveler and Eurasian Wigeon revealed the highest antibody prevalence ranging from 44 to 75%.</p> <p>Conclusion</p> <p>Results of these investigations provide important information about the prevalence of LPAIV in wild birds in Iran, especially wetlands around the Caspian Sea which represent an important wintering site for migratory water birds. Mallard and Common Teal exhibited the highest number of positives in virological and serological investigations: 43% and 26% virological positive cases and 24% and 46% serological positive reactions, respectively. These two species may play an important role in the ecology and perpetuation of influenza viruses in this region. In addition, it could be shown that both oropharyngeal and cloacal swab samples contribute to the detection of positive birds, and neither should be neglected.</p