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Cells
  • Review
  • Open Access

25 July 2022

The Functional Role of Long Non-Coding RNA in Myogenesis and Skeletal Muscle Atrophy

,
and
1
Division for Therapies against Intractable Diseases, Institute for Comprehensive Medical Science (ICMS), Fujita Health University, Toyoake 470-1192, Japan
2
Department of Biochemistry, Kindai University Faculty of Medicine, Osaka-Sayama 589-8511, Japan
*
Authors to whom correspondence should be addressed.
This article belongs to the Collection Molecular Mechanisms and Current Treatment Strategy of Sarcopenia and Cachexia

Abstract

Skeletal muscle is a pivotal organ in humans that maintains locomotion and homeostasis. Muscle atrophy caused by sarcopenia and cachexia, which results in reduced muscle mass and impaired skeletal muscle function, is a serious health condition that decreases life longevity in humans. Recent studies have revealed the molecular mechanisms by which long non-coding RNAs (lncRNAs) regulate skeletal muscle mass and function through transcriptional regulation, fiber-type switching, and skeletal muscle cell proliferation. In addition, lncRNAs function as natural inhibitors of microRNAs and induce muscle hypertrophy or atrophy. Intriguingly, muscle atrophy modifies the expression of thousands of lncRNAs. Therefore, although their exact functions have not yet been fully elucidated, various novel lncRNAs associated with muscle atrophy have been identified. Here, we comprehensively review recent knowledge on the regulatory roles of lncRNAs in skeletal muscle atrophy. In addition, we discuss the issues and possibilities of targeting lncRNAs as a treatment for skeletal muscle atrophy and muscle wasting disorders in humans.

1. Introduction

More than 400 skeletal muscles are present throughout the human body and account for 30–40% of the body weight in the human adult. The coordinated action of the skeletal muscles enables body movement, exercise, and postural maintenance. Additionally, maintaining adequate skeletal muscle mass is important for a healthy lifestyle to maintain body temperature, homeostasis, metabolism, blood pumping, and myokine secretion. The skeletal muscle is also a highly plastic organ. The skeletal muscle mass decreases with immobilization, malnutrition, and injury [1,2,3]. Diseases such as cancers, cardiovascular diseases, neurodegenerative diseases, chronic kidney disease (CKD), and chronic obstructive pulmonary disease (COPD) reduce skeletal muscle mass [4,5,6,7,8]. Cancer-induced cachexia is a complex metabolic disorder characterized by marked muscular wasting and is implicated in approximately 30% of all cancer-related deaths [9]. Aging also causes the loss of muscle mass and strength, even if one does not encounter such adversities and diseases [10]. The reduction in skeletal muscle mass due to aging is called sarcopenia and results in bedridden status, dysphagia, and dyspnea. Sarcopenia is present in 9.9–40.4% of community-dwelling older adults and impedes healthy life maintenance [11]. Moreover, in the recent COVID-19 pandemic, loss of muscle strength as a consequence of viral infection is becoming a major problem, regardless of the underlying diseases [12]. Global social isolation and physical inactivity due to the COVID-19 pandemic are also responsible for muscle weakness, even in non-virus-infected groups [13,14]. Skeletal muscle atrophy and weakness decrease the quality of life due to reduced activities of daily living and increased mortality from diseases [15]. On the other hand, resistance training is effective in alleviating muscle atrophy by improving both the quantity and quality of skeletal muscle. Recent systematic reviews and meta-analyses of cohort studies have indicated that muscular training reduces the risk of mortality, cardiovascular diseases, cancers, and diabetes [16]. However, performing adequate training safely without injury is difficult for sick and elderly individuals who have lost physical fitness. Therefore, elucidating the pathophysiology of skeletal muscle atrophy caused by complex factors is required to develop safe and effective treatments for muscle atrophy.
The balance between the synthesis and degradation of skeletal muscle components is the primary factor that determines the skeletal muscle mass [15]. The insulin-like growth factor-1 (IGF-1)/Akt/mammalian target of rapamycin (mTOR) pathway is a positive regulator of skeletal muscle mass. When IGF-1 binds to its receptor on the plasma membrane through a sequence of phosphorylation reaction cascades mediated by Akt and mTOR, it activates p70 ribosomal protein S6 kinase (p70S6K) and suppresses 4E-BP1, which are regulators of protein synthesis [17,18]. Consequently, activated translational initiation and elongation, and increased ribosome biogenesis contribute to skeletal muscle hypertrophy. Stimulated Akt inhibits the nuclear translocation of FoxO transcription factors and prevents the expression of muscle-specific E3 ubiquitin ligases, MuRF1 and Atrogin-1/MAFbx [19,20,21]. The β-adrenergic pathway also enhances muscle protein synthesis but is known to be associated with adverse cardiac-related events [22]. Protein synthesis normally predominates over protein degradation, whereas in pathogenic conditions, several signaling pathways are stimulated, leading to the degradation of muscle proteins. Myostatin, a cytokine belonging to the transforming growth factor β (TGF-β) superfamily, is a well-known inducer of skeletal muscle atrophy. An important negative regulation of skeletal muscle mass by myostatin was first demonstrated by McPherron et al. in 1997, using myostatin-deficient mice [23]. The mice showed a 2-fold increase in muscle mass due to increases in both muscle fiber size (hypertrophy) and myofiber number (hyperplasia). Increased muscle mass has also been observed in other animals, such as cattle, sheep, dogs, goats, pigs, rabbits, and fish, with naturally occurring or artificially mutated myostatin genes [24,25,26,27]. In Japan, muscle hypertrophy of sea bream with inactivation of myostatin protein by genome editing technology is commercially available [28]. Spontaneous mutations in the myostatin gene resulted in increased skeletal muscle mass in humans [29]. Intriguingly, activin, another member of the TGF-β superfamily, induces muscle atrophy [30]. Activin appears to be more potent than myostatin in inducing muscle atrophy in primates [31]. Both myostatin and activin signaling contribute to the predominant proteolysis of muscle proteins via the transcription factors Smad2/3 [32]. In addition, nuclear factor kappa B (NF-κB) and glucocorticoid signaling negatively regulate skeletal muscle mass [18,33]. Eventually, this atrophy-related signaling results in the activation of the ubiquitin-proteasome system [34]. Under several pathogenic conditions, hyperactivation of autophagy, another proteolytic system, contributes to the reduction of skeletal muscle mass [35].
Over the past decade, emerging evidence has demonstrated that long non-coding RNAs (lncRNAs), which are not translated into proteins, serve as novel regulators of diverse biological processes [36]. lncRNAs are more than 200 nucleotides (nt) in length and are expressed not only from non-coding genomic DNA, including cis-regulatory regions, introns, 5′- and 3′- untranslated regions, intergenic regions, and repetitive sequences, but are also transcribed from the coding genomic DNA in the antisense direction [37]. A curated database of human lncRNAs contains 268,848 lncRNA genes as of November 2019 [38]. Dysregulated lncRNA expression is associated with cancers, cardiovascular diseases, and neurodegenerative disorders [39,40]. lncRNAs have pleiotropic functions; transcriptional and translational regulation, chromatin modification, mRNA stability, RNA splicing, and nuclear body architecture [37,41]. The lncRNA sequences tend not to be conserved among species. In contrast to the unique functional domains found in proteins, the characteristic functional sequences of lncRNAs have not been fully determined [41]. The expression levels of lncRNAs are generally lower than those of mRNAs, and they are localized predominantly in the nucleus. Depending on their unique nucleic acid sequences, lncRNAs directly interact with proteins or genomic DNA and regulate the expression of downstream genes in the nucleus [42]. In the cytoplasm, lncRNAs function as decoys against microRNAs (miRNAs) [43], which post-transcriptionally fine-tune gene expression through mRNA degradation and translation inhibition [44]. Genome-wide studies using next-generation sequencing technology have identified thousands of novel lncRNAs in skeletal muscle. Additionally, lncRNAs have provided new insights into the regulation of skeletal muscle cell proliferation and differentiation. Recent studies have revealed the molecular functions of lncRNAs in the regulation of skeletal muscle mass. In this review, we summarize recent findings regarding lncRNAs involved in skeletal muscle atrophy caused by cancer cachexia, aging, neurological diseases, disuse, and fasting. The mechanism of muscle atrophy by lncRNA Myoparr, which we discovered, has been described in detail. We also discuss the possibilities and limitations of using lncRNAs as a treatment for human muscle atrophy. The molecular roles of lncRNAs described in this review in the regulation of skeletal muscle mass are summarized in Figure 1 and Table 1.
Figure 1. Schematic representation of the lncRNAs involved in the regulation of skeletal muscle mass. Based on the results from in vivo experiments (partial in vitro experiments are included for ceRNAs), lncRNAs increasing muscle mass are represented in red. lncRNAs decreasing muscle mass are represented in blue.

2. Myogenic Differentiation-Related lncRNAs

During embryogenesis, myogenic progenitor cells, myoblasts, proliferate until they reach an appropriate number, which is a major predictor of future skeletal muscle mass. Following mitotic arrest, myoblasts begin to differentiate and fuse to form multinucleated myotubes. Subsequently, myotubes further mature into myofibers, which form skeletal muscle tissues [45]. The formation of skeletal muscle, known as myogenesis, is regulated by a multistep process orchestrated by many transcription factors [46]. The basic helix-loop-helix (bHLH) transcription factor Myf5 initiates myogenesis [47] and cooperatively works with the bHLH transcription factor MyoD to determine myogenic cell fate [48]. Cell cycle of myoblasts is arrested concomitantly with myogenic differentiation. MyoD induces the expression of cyclin-dependent kinase inhibitors, p21 and p57, and p53 family members to arrest the cell cycle in myoblasts [49,50,51]. MyoD also activates the expression of the bHLH transcription factor, myogenin, leading to the entry of myoblasts into the myogenic differentiation program [52]. Formation of multinucleated myotubes by myoblast-myoblast fusion is mediated by the muscle-specific transmembrane protein myomaker [53]. Another bHLH transcription factor, MRF4, and MEF2 family transcription factors are also involved in both cell specification and differentiation [54,55]. Many lncRNAs have been identified in myoblasts and myotubes and have been shown to regulate myogenic differentiation [56]. Subsequently, the role of these lncRNAs in the regulation of skeletal muscle mass was investigated. In this section, we introduce the molecular functions of these lncRNAs, focusing on the regulation of myogenic differentiation and skeletal muscle mass.

2.1. Myoparr

By analyzing the transcriptionally activated region around the myogenin locus during C2C12 differentiation using an RNA polymerase II (Pol II) binding signal, we identified a novel lncRNA from the myogenin promoter region and named it myogenin promoter-associated myogenic regulatory antisense lncRNA, Myoparr [57]. Myoparr is expressed in a head-to-head fashion along with the myogenin gene during myogenic differentiation of human and mouse myoblasts. Mouse Myoparr is a single exon lncRNA and the lengths of Myoparr are 1172 nt and 1167 nt in C2C12 cells and C57BL/6J mice, respectively. This difference in length was due to the different lengths of repeat sequences in Myoparr. In humans, two types of MYOPARR exist: one is a 1977 nt lncRNA (isoform 1) consisting of a single exon, and the other is a 2245 nt lncRNA (isoform 2) consisting of three exons (Figure 2A). Human MYOPARR isoform 1 is expressed in a head-to-head fashion along with the myogenin gene, as in mice. In isoform 2, the first exon is expressed in reverse orientation from the last exon of myogenin, the 2nd exon of MYOPARR is in the 2nd intronic region of myogenin, and the 3rd exon is essentially in the same position as in isoform 1.
Figure 2. (A) Structures of both mouse Myoparr and human MYOPARR. (B) Molecular functions of mouse Myoparr in the regulation of muscle mass. Denervation activates Myoparr expression, and then Myoparr increases and decreases myogenin and Gdf5 expression, respectively. Thus, Myoparr promotes muscle atrophy caused by denervation.
The timing of Myoparr and myogenin expression were mutually correlated in human and mouse myoblasts, suggesting that Myoparr participates in the regulation of myogenin expression [57]. Our group showed that Myoparr knockdown drastically decreased myogenin expression at the transcriptional level and inhibited the myogenic differentiation of C2C12 cells. Although several promoter-associated lncRNAs are involved in the DNA methylation status of neighboring genes [58], Myoparr knockdown did not affect the DNA methylation status of the myogenin promoter region. Instead, the reduction in Myoparr expression decreased Pol II recruitment, histone H3 lysine 4 trimethylation (H3K4me3), and histone H3 lysine 27 acetylation (H3K27ac) levels in the myogenin locus. Mechanistically, Myoparr directly binds to the DEAD-box protein Ddx17, a transcriptional co-activator, and promoted protein–protein interactions between Ddx17 and the histone acetyltransferase PCAF during C2C12 differentiation. The binding of PCAF to Ddx17 is essential for the high transcriptional activity of Ddx17 [59]. Myoparr is mainly localized to the chromatin fraction and binds to the myogenin promoter. Therefore, Myoparr activates myogenin expression by promoting histone acetylation at the myogenin promoter via the Ddx17-PCAF complex. In addition to myogenin expression, Myoparr regulates cell cycle withdrawal by activating the expression of miR-133b, miR-206, and H19 lncRNA, which promotes myoblast cell cycle withdrawal [60,61,62]. Thus, Myoparr promotes both myogenic differentiation and myoblast cell cycle withdrawal by activating myogenin, miR-133b, miR-206, and H19 during C2C12 differentiation. Although the molecular function of Myoparr in myogenic differentiation of mouse myoblasts is clear, the role of MYOPARR in human myogenesis remains to be elucidated.
The functions of lncRNAs can be altered depending on their binding partners [42]. We recently identified heterogeneous nuclear ribonucleoprotein K (hnRNPK) as a Myoparr binding protein [63]. Unlike Ddx17, hnRNPK negatively regulates the expression of myogenin at the transcriptional level. Deleting the hnRNPK-binding region of Myoparr enhances myogenin promoter activity. Interestingly, hnRNPK knockdown caused morphological abnormalities in the myotubes. Since hnRNPK knockdown increased the expression levels of MyoD protein and myogenin, hnRNPK might contribute to preventing premature differentiation of myoblasts by restricting Myoparr function.
Although the myogenin gene is essential for skeletal muscle development [64,65], its expression is suppressed after myogenesis by innervation. Conversely, in denervated skeletal muscles, reactivated myogenin expression triggers the expression of E3 ligases MuRF1 and Atrogin-1 [66]. Therefore, dysregulated myogenin expression results in skeletal muscle atrophy. During myogenic differentiation, Myoparr shares the same promoter region as myogenin. Moreover, MyoD and TGF-β signaling directly regulate Myoparr expression through the myogenin promoter region [57]. Therefore, we hypothesized that Myoparr expression is also activated by denervation in adult skeletal muscles. Sciatic nerve transection in mice resulted in a 10–20% reduction in tibialis anterior (TA) muscle mass 3–7 days after treatment. In this situation, we found increased Myoparr and myogenin expression. Since Myoparr is essential for myogenin expression during myogenic differentiation, we next examined whether Myoparr contributed to the activation of myogenin in denervated skeletal muscles. RNA interference (RNAi)-mediated knockdown of Myoparr decreased myogenin expression at both the mRNA and protein levels in denervated muscles (Figure 1, right panel). Moreover, Myoparr knockdown attenuated denervation-induced muscle atrophy (Table 1). Increased Myoparr expression was observed in denervated muscles but not in other muscle atrophy conditions caused by cancer cachexia, hindlimb suspension, cast immobilization, fasting, and dexamethasone administration [67]. Therefore, Myoparr serves as a specific inducer of muscle atrophy caused by denervation.
To determine whether alleviated muscle atrophy by Myoparr inhibition was caused only by the cell-autonomous effect of preventing myogenin reactivation, or whether other mechanisms are also responsible, we performed a comprehensive gene expression analysis in Myoparr-depleted TA muscles by RNA-sequencing (RNA-Seq) analysis. Myoparr knockdown increased and decreased the expression of the 423 and 425 genes, respectively [68]. Among them, Gdf5, which encodes one of the bone morphogenetic protein (BMP) family members, was previously shown to alleviate muscle atrophy caused by denervation [69]; therefore, we focused on the expression changes of Gdf5 by Myoparr knockdown. Three days after Myoparr knockdown, substantially increased Gdf5 expression was confirmed by Western blot analysis of TA muscles (Figure 1, right panel). Moreover, Myoparr knockdown activated BMP signaling, as indicated by the increased phosphorylation levels of Smad1/5/8. Thus, our findings indicated that skeletal muscle atrophy caused by denervation may be regulated by the Myoparr/myogenin/Gdf5 axis (Figure 1, right panel, and Figure 2B). Intriguingly, the set of genes whose expression was affected by Myoparr knockdown differed substantially between myogenic differentiation and denervation-induced muscle atrophy [68], suggesting that in skeletal muscle atrophy conditions Myoparr functions with a binding protein other than Ddx17 or hnRNPK, which were identified as Myoparr-binding proteins during myogenic differentiation [57,63].

2.2. Charme

In 2015, lnc-405 was first identified in differentiating C2C12 cells by RNA-Seq analysis [70]. Later, this lncRNA was renamed the chromatin architect of muscle expression (Charme) [71]. Charme is specifically expressed in skeletal and cardiac muscles, localized primarily to the chromatin fraction in the nucleus, and has orthologous transcripts in humans. Charme expression was observed after day 1 of myogenesis, and knockdown of Charme inhibited the myogenic differentiation of C2C12 cells. Charme is associated not only with its own transcribed genomic region but also with Igf2, Tnnt3, and Tnni2 loci. Pol II recruitment and H3K9ac modification in these regions were reduced by Charme knockdown. Charme knockdown also caused physical dissection of the Igf2 locus from the genomic region in which Charme itself was transcribed. It is noteworthy that forced overexpression of Charme by plasmid DNA did not rescue the defect caused by Charme knockdown. Therefore, Charme can promote myogenic differentiation by bringing its own transcribed genomic region close to the Igf2 locus. Intriguingly, the binding of PTBP1, a splicing regulator, and MATR3, an RNA/DNA binding protein, to intron 1 of Charme was required for the localization of Charme to the nucleus [72]. In the gastrocnemius muscles of Charme knockout mice, expression levels of MCK, myosin heavy chain (MyHC), Tnnt3, Tnni2, and Igf2 were reduced, resulting in skeletal muscle atrophy in 4-week-old mice (Figure 1, left panel, and Table 1) [71]. These knockout mice also exhibited aberrant heart size, shape, and hypertension. Charme knockout mice were not lethal and there were no reproduction problems, but they had a lifespan of less than one year.

2.3. Neat1

In the nucleus, several lncRNAs can form liquid droplet-like features, which are referred to as architectural lncRNAs [73]. Nuclear-enriched abundant transcript 1 (Neat1) is an architectural lncRNA, and its expression is increased during C2C12 differentiation [74]. Gain- and loss-of-function experiments have indicated that Neat1 inhibits p21 expression and promotes myoblast proliferation. At the same time, Neat1 inhibited myogenic differentiation by suppressing myogenin, Myh4, Tnni2, and Myomaker expression. Unlike the well-recognized function of Neat1 as an architectural lncRNA [75], Neat1 interacts with enhancer of zeste homolog 2 (Ezh2), a component of the polycomb repressive complex 2, and recruited Ezh2 to the promoter regions of myogenin and p21 in myoblasts [74]. During the lifetime of the mice, Neat1 expression tended to increase until 4 weeks of age and then declined [76]. In adult mice, Neat1 expression is increased in skeletal muscle during regeneration after cardiotoxin (CTX)-induced skeletal muscle injury [74]. Moreover, Neat1 expression consistently increased in conditions of muscle atrophy, including denervation, hindlimb suspension, dexamethasone administration, and cast immobilization [67]. It is noteworthy that lentivirus-mediated knockdown of Neat1 increased skeletal muscle mass in the TA, gastrocnemius, and quadriceps muscles with increased myogenin, Myh4, and Tnni2 expression (Figure 1, left panel, and Table 1) [74]. However, Neat1 inhibition delayed skeletal muscle regeneration following CTX injection in the gastrocnemius muscle, with reduced satellite cell numbers. Thus, inhibition of Neat1 would be beneficial for inducing muscle hypertrophy, but detrimental to injured muscle.

2.4. TCONS-00036665

RNA immunoprecipitation using an Ezh2 antibody in the longissimus dorsi muscle of pigs revealed 356 Ezh2-binding lncRNAs [77]. TCONS-00036665 was identified as an Ezh2-binding lncRNA in addition to Neat1 and its expression increased during myogenic differentiation. TCONS-00036665 is mainly localized in the nucleus. TCONS-00036665 overexpression promoted proliferation but inhibited differentiation of pig skeletal muscle satellite cells. In contrast, TCONS-00036665 knockdown inhibited the proliferation but promoted the myogenic differentiation of satellite cells, indicating that TCONS-00036665 is required for satellite cell proliferation. Similar to Neat1, TCONS-00036665 recruited Ezh2 to the promoter regions of p21, myogenin, and Myh4, thereby repressing the expression of these genes and maintaining the proliferative state of satellite cells. Interestingly, overexpression of TCONS-00036665 in the skeletal muscles of the lower limbs of 6-week-old mice induced a decrease in muscle weight, accompanied by decreased expression of MyHC, MyoD, and myogenin proteins (Figure 1, left panel) [77]. Although the detailed molecular mechanism remains largely unknown, it is likely that TCONS-00036665 negatively regulates postnatal muscle growth (Table 1).

2.5. linc-RAM

Conventionally, lncRNAs have not been considered to encode proteins, but several small polypeptides encoded by lncRNAs have been discovered [78]. The small polypeptides encoded by lncRNAs are called micropeptides. Myoregulin is a 46 amino acid micropeptide that is specifically expressed in the skeletal muscle [79]. Myoregulin directly interacts with sarcoplasmic/endoplasmic reticulum calcium Ca2+-ATPase (SERCA) and inhibits Ca2+ uptake into the sarcoplasmic reticulum. Mice lacking myoregulin show improved exercise performance. On the other hand, Yu et al. reported that an lncRNA encoding myoregulin functions not only to encode a micropeptide but also as a regulatory ncRNA [80]. They used MyoD chromatin immunoprecipitation (ChIP)-Seq data to identify 45 lncRNAs, whose expression was regulated by MyoD during C2C12 cell differentiation. One of them was named lincRNA activator of myogenesis (linc-RAM). Overexpression of linc-RAM promoted myogenic differentiation of C2C12 cells, while no effect was observed in linc-RAM mutants without the open reading frame of myoregulin. These findings suggest that the effect of linc-RAM in promoting myogenic differentiation is a feature of regulatory ncRNAs, independent of micropeptides. linc-RAM was localized in both the nuclei and cytoplasm of C2C12 myoblasts and myotubes. It has been hypothesized that the function of linc-RAM in the nucleus may be different from that of myoregulin. Using RNA immunoprecipitation and pulled-down assays, linc-RAM was found to be physically associated with MyoD [80]. Moreover, linc-RAM facilitated the association of the MyoD–Baf60c–Brg1 complex and enhanced the transcriptional activity of MyoD in the myogenic cells. linc-RAM knockout mice, which were generated by deleting exon 2 of linc-RAM, had fewer myofibers than wild-type mice (Figure 1, left panel, and Table 1) [80]. These mice also showed smaller myofiber size after 14 days of muscle regeneration following CTX injection. Notably, these mice retained intact myoregulin; therefore, reduced myofiber number and regeneration potential would depend on linc-RAM deficiency. The same group later found cytosolic linc-RAM function [81]. In myotubes, the majority of linc-RAM localizes in the cytoplasm, where linc-RAM interacts with glycogen phosphorylase (PYGM), which is involved in glycogen metabolism. Interestingly, PYGM promoted myogenic differentiation in an enzyme activity-dependent manner. linc-RAM positively regulated the enzymatic activity of PYGM by interacting with PYGM. Thus, crosstalk between lncRNAs and cellular metabolism may be a new regulator of myogenic differentiation. Other micropeptides have been identified in skeletal muscle cells and tissues [82]; therefore, it is expected that more examples of lncRNAs that function as both micropeptides and regulatory ncRNAs will be identified. Further studies are required to elucidate how the functions of both micropeptides and regulatory ncRNAs are differentially executed from one lncRNA.

2.6. lncMGPF

Murine lncRNA muscle growth-promoting factor, lncMGPF, is highly expressed in skeletal muscle tissues and promotes myogenic differentiation of C2C12 cells [83]. lncMGPF homologs have been identified in humans and pigs. lncMGPF knockout mice showed slower growth, smaller skeletal muscle, and weaker muscle regeneration than wild-type mice (Table 1). Overexpression of lncMGPF resulted in larger skeletal muscles than in wild-type mice, indicating that lncMGPF promotes skeletal muscle mass. Mechanistically, lncMGPF acted as a decoy for miR-135-5p and increased the expression of transcription factor Mef2c (Figure 1, left panel) [83]. Additionally, lncMGPF promoted human antigen R (HuR)-mediated mRNA stabilization of both MyoD and myogenin (Figure 1, left panel) [83]. Interestingly, 10 single nucleotide polymorphisms (SNPs) in pig lncMGPF have been identified in commercial and Chinese local pig breeds [84]. These SNPs are linked to lncMGPF stability and skeletal muscle growth. Taken together, lncMGPF may be a unique lncRNA with functional SNPs. However, further studies are required to determine whether lncMGPF antagonizes muscle atrophy.

5. Skeletal Muscle Fiber-Type-Associated lncRNAs

Skeletal muscle is composed of a combination of slow- and fast-twitch muscle fibers, which have distinct metabolic and contractile properties [123]. Slow-twitch muscle fibers are rich in mitochondria and have high oxidative capacity, whereas fast-twitch muscle fibers have higher amounts of glycogen and produce ATP primarily through glycolysis. Skeletal muscle fibers exhibit remarkable plasticity in energy metabolism and contractile function to meet an individual’s activity and energy demands. Aging, inactivity, and wasting diseases reduce muscle mass and alter muscle fiber-type composition, along with changes in metabolic capacity. Skeletal muscle aging, represented by sarcopenia, primarily causes a decrease in the number and diameter of fast-twitch muscle fibers compared to slow-twitch fibers [10,124]. Additionally, the muscle wasting seen in cancer patients, similar to that seen in disuse atrophy, occurs primarily in slow-twitch muscle fibers, converts muscle fibers toward the fast-fiber type, and reduces muscle mass [125]. Thus, the regulation of muscle mass and alteration of muscle fiber-type composition can occur in parallel. Although enhanced catabolic signaling changes muscle fiber composition toward a slow-fiber type and prevents muscle hypertrophy, this does not fully explain the pathophysiology described above. Recent studies have identified lncRNAs as novel players involved in the regulation of muscle fiber-types. Therefore, a comprehensive understanding of the molecular mechanisms of lncRNAs underlying muscle fiber-type specialization and adaptation will provide therapeutic strategies for specific diseases. In this section, we introduce the functions and molecular mechanisms of lncRNAs involved in the regulation of muscle fiber-type switching and muscle mass.

5.1. Cytor

RNA-Seq analysis of differentially expressed lncRNAs in the human vastus lateralis muscle after one-leg knee extension exercise revealed cytoskeletal regulator RNA (CYTOR) [126]. CYTOR expression increases to some extent upon endurance exercise but is more pronounced in resistance training. CYTOR does not exist near (>100 kb separation) other genes and shows nucleotide conservation in mice (annotated as Gm14005) and rats (annotated as XR_146885.3). Increased expression of Cytor was observed in both mice and rats subjected to treadmill exercise, indicating that the Cytor’s response to exercise is also conserved among species. In human and mouse myoblasts, Cytor expression increased during myogenic differentiation. Gain- and loss-of-function experiments using C2C12 cells showed that Cytor inhibits myoblast proliferation and promotes myogenic differentiation. Young mouse gastrocnemius muscles with Cytor knockdown showed a sarcopenia-like phenotype, including muscle atrophy, decreased muscle strength, and decreased composition of fast-twitch fibers (Figure 1, left panel, and Table 1). On the other hand, restoring Cytor expression, which decreased with aging, recovered muscle weight loss, and increased muscle strength and fast-type fiber composition. Interestingly, overexpression of CYTOR in myoblasts derived from aged human muscles resulted in an improved myogenic differentiation potential and increased expression of fast-twitch myosin isoforms. Mechanistically, Cytor, by binding to the Tead1 transcription factor, reduced chromatin accessibility and occupancy in the binding motif of Tead and sequestered Tead1, thereby suppressing the slow-muscle phenotype and inducing a fast-muscle phenotype. Considering that Tead transcription factors and their cofactors are known to play an important role in the composition of muscle fibers [127,128,129], manipulating CYTOR function could have therapeutic potential to increase fast-twitch fibers and attenuate muscle atrophy caused by aging in humans.

5.2. lncRNA-FKBP1C

Analysis of differentially expressed lncRNAs between the breast muscle of white recessive rock and Xinghua chickens by RNA-Seq revealed lncRNA-FKBP1C [130]. During the differentiation of chicken primary myoblasts, lncRNA-FKBP1C expression transiently increased and then decreased. In vitro overexpression and knockdown experiments revealed that lncRNA-FKBP1C inhibits the growth of chicken primary myoblasts and promotes myogenic differentiation. Moreover, lncRNA-FKBP1C drove the slow-type muscle phenotype, both in vitro and in vivo. Moreover, lncRNA-FKBP1C overexpression induced an increase in muscle fiber diameter, whereas knockdown of lncRNA-FKBP1C reversed this phenotype (Table 1). Although the detailed molecular mechanism remains unknown, lncRNA-FKBP1C binds to Myh1b protein (homologous to murine embryonic MyHC) and enhances its stability (Figure 1, left panel) [130].

5.3. SMARCD3-OT1

In chickens, lncRNA SMRCD3-OT1, which is partly overlaid on the Smarcd3x4 gene, was highly enriched in the breast and leg muscles [131]. SMARCD3-OT1 expression remained constant in chicken primary myoblasts in a proliferative state but increased after the induction of myogenic differentiation. In chickens, SMARCD3-OT1 expression increases with embryonic development and continues to be expressed in the skeletal muscle after birth. Overexpression and knockdown experiments in chicken primary myoblasts showed that SMARCD3-OT1 promoted myoblast proliferation and myotube formation at the differentiation stage. SMARCD3-OT1 also induces the expression of fast-twitch muscle fiber-related genes in myotubes. Moreover, SMARCD3-OT1 induced hypertrophy and a fast-twitch muscle fiber phenotype in chicken skeletal muscles (Table 1). Thus, SMARCD3-OT1 promotes cell proliferation and myotube formation, and can also induce fast-twitch muscle fiber-related genes in chicken primary myoblasts by increasing Smarcd3x4 expression (Figure 1, left panel) [131]. Smarcd3x4 is one of the isoforms of the evolutionarily conserved Smarcd3 gene [131], which encodes a component of the SWI/SNF complex. Therefore, investigating whether SMARCD3-OT1 and its molecular function are also evolutionarily conserved in humans is important.

5.4. ZFP36L2-AS

The ZFP36 ring finger protein-like 2 (ZFP36L2)-antisense transcript (ZFP36L2-AS) was more abundant in breast muscle than in leg muscle [132]. ZFP36L2-AS expression increased with chicken primary myoblast differentiation. ZFP36L2-AS suppressed proliferation and promoted myogenic differentiation of chicken primary myoblasts. ZFP36L2-AS also promoted glycolytic metabolism and suppressed oxidative metabolism by reducing mitochondrial function. However, these effects on cellular metabolism were not observed in adult satellite cells, suggesting the existence of a developmentally specific function for ZFP36L2-AS. Furthermore, ZFP36L2-AS knockdown in chicken skeletal muscle showed decreased expression of glycolytic metabolism-related genes, increased slow-twitch muscle fiber composition, and increased muscle mass with reduced expression of MuRF1 and Atrogin-1, suggesting that ZFP36L2-AS induces a fast-twitch muscle fiber phenotype and muscle atrophy in vivo (Figure 1, right panel, and Table 1). ZFP36L2-AS bound to the acetyl-CoA carboxylase alpha (ACACA) protein and pyruvate carboxylase protein, and when ZFP36L2-AS was increased, the ACACA protein was activated with reduced phosphorylation levels, but pyruvate carboxylase was destabilized. Activated ACACA inhibits fatty acid β-oxidation and decreases pyruvate carboxylase, resulting in reduced mitochondrial function [132]. This may be one of the mechanisms underlying the induction of the fast-twitch muscle fiber phenotype by ZFP36L2-AS in chickens. ZFP36L2-AS is primarily conserved in birds [132]. Whether ZFP36L2-AS is a suitable therapeutic target for human muscle atrophy remains to be elucidated.

5.5. linc-MYH

The fast-twitch Myh genes are localized within a 300 kb region on chromosome 17 to form clusters in humans, and this genomic structure is conserved among species. Sakakibara et al. found a super-enhancer for fast-twitch Myh genes, 50 kb upstream of Myh2 [133], and linc-MYH is located 4 kb downstream of the super-enhancer [133]. linc-MYH is specifically expressed in fast-twitch skeletal muscles and accumulates in the nuclei of adult mice. In vivo knockdown experiments using shRNAs showed that a decrease in linc-MYH expression was accompanied by a decrease in the expression of fast-twitch muscle fiber-related genes and an increase in the expression of slow-twitch muscle fiber-related genes. Conversely, forced expression of linc-MYH in slow-type muscle by in vivo transfection induced the fast-twitch gene Myh4. However, it was later reported that mice lacking linc-MYH showed a myofiber-type distribution similar to that of wild-type mice [134]. In addition, linc-MYH knockout mice had a larger pool of satellite cells than wild-type mice. The loss of linc-MYH may strengthen the association of chromatin remodeling proteins, including INO80, YY1, WDR5, and TFPT, leading to an increase in satellite cells. Moreover, in mice lacking the super-enhancer of fast-twitch MyHC genes, no clear change in myofiber-type distribution in distal hindlimb muscles was observed, whereas linc-MYH expression was lost [135], indicating that further studies are required to determine the function of linc-MYH in the regulation of myofiber-type distribution. Interestingly, linc-MYH knockout mice showed a muscle hypertrophy phenotype with increased muscle weight (Figure 1, right panel, and Table 1) [134]. We found linc-MYH expression was largely decreased in conditions of muscle atrophy induced by denervation, cast immobilization, fasting, and cancer cachexia [89]. Thus, decreased linc-Myh expression may be associated with the pathogenesis of muscle atrophy.

5.6. SMUL

Integrated transcriptomic and proteomic analyses identified 104 micropeptides translated from lncRNAs with altered expression during myogenic differentiation of chicken myoblasts [136]. SMAD-specific E3 ubiquitin-protein ligase (Smurf2) upstream lncRNA (SMUL) was one of the identified lncRNA-encoded micropeptides and was highly expressed in skeletal muscle tissues. SMUL expression was downregulated during chicken myoblast differentiation. Gain- and loss-of-function experiments showed that SMUL promotes myoblast proliferation and inhibits myogenic differentiation. In chicken skeletal muscle, SMUL induced muscle atrophy and activated switching from slow- to fast-twitch myofiber. Mechanistically, SMUL mediated the nonsense-mediated mRNA decay of Smurf2, which downregulates TGF-β signaling (Figure 1, right panel) [137]. Overexpression of Smurf2 induced muscle hypertrophy, whereas Smurf2 knockdown led to muscle atrophy (Table 1). Thus, SMUL reduced skeletal muscle mass by enhancing TGF-β signaling via Smurf2 stability. Given that myostatin and activin, members of the TGF-β superfamily, negatively regulate skeletal muscle mass and that Smurf2 is involved in their signaling [138], this mechanism can partly explain the effect of SMUL. However, it is unclear why the enhanced TGF-β signaling by SMUL stimulated the slow-to-fast fiber switch because depletion of myostatin, which is highly similar to TGF-β signaling, results in increased fast-twitch myofibers [139].
Table 1. The Summary of lncRNAs involved in the regulation of skeletal muscle mass. Data are based on the in vivo experimental results, but partially include in vitro experiments for ceRNAs. ALS, amyotrophic lateral sclerosis; C.C., cancer cachexia; CKD, chronic kidney disease; Den, denervation; Dex, dexamethasone treatment; H.S., hindlimb suspension; S.M., skeletal muscle.
Table 1. The Summary of lncRNAs involved in the regulation of skeletal muscle mass. Data are based on the in vivo experimental results, but partially include in vitro experiments for ceRNAs. ALS, amyotrophic lateral sclerosis; C.C., cancer cachexia; CKD, chronic kidney disease; Den, denervation; Dex, dexamethasone treatment; H.S., hindlimb suspension; S.M., skeletal muscle.
NameExpression Changes byExperiments inMethodsFor S.M. MassFunctionRef.
AK017368-MousesiRNA-mediated knockdownNegativeSponge for miRNA[119]
Atrolnc-1C.C., CKD, Dex, FastingMouseAAV-mediated overexpression
shRNA-mediated knockdown
NegativeTranscriptional regulation[91]
Charme-MouseGenetic knockoutPositiveTranscriptional regulation[71]
ChronosAgingMousesiRNA-mediated knockdownNegativeTranscriptional regulation[90]
CytorAgingMouseAAV-mediated overexpression, Gapmer-mediated knockdownPositiveTranscriptional regulation[126]
H19Den, FastingMouseGenetic knockoutNegativeSource of miR-675-5p & miR-675-3p
Dystrophin stability
[62,108,109]
linc-MYHC.C., Den, Fasting, ImmobilizationMouseGenetic knockoutNegativeRegulation of satellite cell pool[134]
linc-RAM-MouseGenetic knockoutPositiveMicropeptide
Transcriptional regulation
[79,80]
LncEDCH1-ChickenLentiviral-mediated overexpression
Lentiviral-mediated knockdown
PositiveSERCA2 activity[99]
lncIRS1-ChickenLentiviral-mediated overexpression
Lentiviral-mediated knockdown
PositiveSponge for miRNA[115]
lncMAATAging, Angiotensin II infusion, Den, Fasting, ImmobilizationMouseLentiviral-mediated overexpression
Lentiviral-mediated knockdown
PositiveTranscriptional regulation[94]
lnc-mgFastingMouseTransgenic overexpression
Genetic knockout
PositiveSponge for miRNA[110]
lncMGPF-MouseLentiviral-mediated overexpression
Genetic knockout
PositiveSponge for miRNA
mRNA stability
[83]
lncMUMAH.S.MouseLentiviral-mediated overexpressionPositiveSponge for miRNA[116]
lnc-ORAAgingMouseAAV-mediated overexpressionNegativeSponge for miRNA
mRNA stability
[122]
lncRNA-FKBP1C-ChickenLentiviral-mediated overexpression
Lentiviral-mediated knockdown
PositiveProtein stability[130]
lnc-SEMT-SheepTransgenic overexpression
shRNA-mediated knockdown
PositiveSponge for miRNA[114]
MAR1Aging, Fasting, H.S.MouseTransgenic overexpression
shRNA-mediated knockdown
PositiveSponge for miRNA[117]
MyoparrDenMouseshRNA-mediated knockdownNegativeTranscriptional regulation[57,68]
Neat1Den, Dex, H.S., ImmobilizationMouseLentiviral-mediated knockdownNegativeTranscriptional regulation[74]
Pvt1Den, ALSMouseGapmer-mediated knockdownNegativeMitochondrial network regulation[97]
SMARCD3-OT1-ChickenLentiviral-mediated overexpression
ASO-mediated knockdown
PositiveTranscriptional regulation[131]
SMUL-ChickenLentiviral-mediated overexpression
Lentiviral-mediated knockdown
NegativemRNA decay[136]
SYISL-MouseGenetic knockout
Lentiviral-mediated overexpression
Lentiviral-mediated knockdown
NegativeSponge for miRNA[112,113]
TCONS-00036665-MouseLentiviral-mediated knockdownNegative-[77]
ZFP36L2-AS-ChickenLentiviral-mediated knockdownNegative-[132]

6. Therapeutic Potential and Limitations of lncRNAs for Skeletal Muscle Atrophy in Humans

As described above, lncRNAs are potential therapeutic targets in human muscle atrophy and wasting disorders. However, several issues must be resolved before they can be applied to human therapy. First, even if the existence of corresponding lncRNAs among different species including humans is confirmed, the nucleotide sequences of lncRNAs are not generally well conserved compared to functional proteins [140]. Although they can alleviate muscle atrophy in mice and other vertebrates, whether their human counterparts have similar molecular functions in muscle mass remains unclear. Therefore, their applicability for treating muscle atrophy in humans must be carefully considered. The second issue is that optimal methods for controlling the expression or function of lncRNAs in human skeletal muscle have not been established. As mentioned above, increasing or decreasing the expression levels of lncRNAs is effective in regulating their functions. However, nucleic acid-based technologies, which have been applied to many mRNAs in the past, have shown limited progress in the treatment of human diseases [141]. Virus-vector-based technologies, which have been available for practical use in the last few years as COVID-19 vaccines [142], should be considered for lncRNA therapy in the future. In recent years, a small molecule-based inhibitor for Xist lncRNA has been developed [143]; therefore, the application of such a method may also be considered for other lncRNAs. The third issue is the complexity of the pathogenic factors of muscle atrophy [15], and lncRNAs, which function across the entire spectrum of muscle atrophy caused by cancer cachexia, disuse, fasting, and aging, have not yet been elucidated. Therefore, it is important to identify the cause of muscle atrophy and target appropriate lncRNAs.
Telomeres protect the ends of chromosomes from damage and a shortening of telomere length is known as a hallmark of cellular senescence. Telomere length is regulated by two lncRNAs, telomerase RNA component (TERC) and telomeric repeat-containing RNA (TERRA) [144]. Decreased TERRA expression in leukocytes is associated with sarcopenia [145]. Besides, H19 impedes the function of telomerase, which extends the length of telomeres, in human acute promyelocytic leukemia cells [146]. Although whether the differences in telomere length are associated with sarcopenia is not conclusive [145,147,148,149], leukocyte telomere length is associated with a life span limit among humans [150]. In addition, genetic factors associated with longevity are being explored [151,152]; therefore, more detailed analysis of telomere-associated lncRNAs in skeletal muscles or research on lncRNAs associated with longevity could lead to identifying the new therapeutic targets for sarcopenia.

7. Conclusions and Future Perspectives

There are no lncRNAs in advanced clinical trial phases for skeletal muscle atrophy yet, but this may be because it has only been a decade since biological attention was focused on the pleiotropic functions of lncRNAs. Recent characterization has elucidated the association of lncRNAs with muscle atrophy. Thus, while many issues remain to be resolved, lncRNAs will become effective targets for skeletal muscle atrophy in the near future, leading to the development of therapeutic agents. We have high hopes that it will be possible to overcome human muscle atrophy using cutting-edge technologies related to new frontiers of lncRNAs.

Author Contributions

K.H., M.H. and K.T. wrote and edited the manuscript. K.H. designed the figures. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported in part by JSPS KAKENHI (19H03427 and 20K07315).

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gao, Y.; Arfat, Y.; Wang, H.; Goswami, N. Muscle atrophy induced by mechanical unloading: Mechanisms and potential countermeasures. Front. Physiol. 2018, 9, 235. [Google Scholar] [CrossRef] [PubMed]
  2. Picot, J.; Hartwell, D.; Harris, P.; Mendes, D.; Clegg, A.; Takeda, A. The effectiveness of interventions to treat severe acute malnutrition in young children: A systematic review. Health Technol. Asses. 2012, 16, 1–316. [Google Scholar] [CrossRef] [PubMed]
  3. Otzel, D.M.; Kok, H.J.; Graham, Z.A.; Barton, E.R.; Yarrow, J.F. Pharmacologic approaches to prevent skeletal muscle atrophy after spinal cord injury. Curr. Opin. Pharmacol. 2021, 60, 193–199. [Google Scholar] [CrossRef]
  4. Rohm, M.; Zeigerer, A.; Machado, J.; Herzig, S. Energy metabolism in cachexia. EMBO Rep. 2019, 20, e47258. [Google Scholar] [CrossRef] [PubMed]
  5. Suzuki, T.; Palus, S.; Springer, J. Skeletal muscle wasting in chronic heart failure. ESC Heart Fail. 2018, 5, 1099–1107. [Google Scholar] [CrossRef]
  6. Casas, C.; Manzano, R.; Vaz, R.; Osta, R.; Brites, D. Synaptic failure: Focus in an integrative view of ALS. Adv. Neurol. 2016, 1, 159–175. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Oliveira, E.A.; Cheung, W.W.; Toma, K.G.; Mak, R.H. Muscle wasting in chronic kidney disease. Pediatr. Nephrol. 2018, 33, 789–798. [Google Scholar] [CrossRef] [PubMed]
  8. Barreiro, E.; Jaitovich, A. Muscle atrophy in chronic obstructive pulmonary disease: Molecular basis and potential therapeutic targets. J. Thorac. Dis. 2018, 1, S1415–S1424. [Google Scholar] [CrossRef]
  9. Von Haehling, S.; Anker, S.D. Cachexia as a major underestimated and unmet medical need: Facts and numbers. J. Cachexia Sarcopenia Muscle 2010, 1, 1–5. [Google Scholar] [CrossRef] [Green Version]
  10. Larsson, L.; Degens, H.; Li, M.; Salviati, L.; Lee, Y.I.; Thompson, W.; Kirkland, J.L.; Sandri, M. Sarcopenia: Aging-related loss of muscle mass and function. Physiol. Rev. 2019, 99, 427–511. [Google Scholar] [CrossRef]
  11. Xu, J.; Wan, C.S.; Ktoris, K.; Reijnierse, E.M.; Maier, A.B. Sarcopenia is associated with mortality in adults: A systematic review and meta-analysis. Gerontology 2022, 68, 361–376. [Google Scholar] [CrossRef] [PubMed]
  12. Soares, M.N.; Eggelbusch, M.; Naddaf, E.; Gerrits, K.H.L.; van der Schaaf, M.; van den Borst, B.; Wiersinga, W.J.; van Vugt, M.; Weijs, P.J.M.; Murray, A.J.; et al. Skeletal muscle alterations in patients with acute COVID-19 and post-acute sequelae of COVID-19. J. Cachexia Sarcopenia Muscle 2022, 13, 11–22. [Google Scholar] [CrossRef] [PubMed]
  13. Yamada, M.; Kimura, Y.; Ishiyama, D.; Otobe, Y.; Suzuki, M.; Koyama, S.; Kikuchi, T.; Kusumi, H.; Arai, H. The influence of the COVID-19 pandemic on physical activity and new incidence of frailty among initially non-frail older adults in Japan: A follow-up online survey. J. Nutr. Health Aging 2021, 25, 751–756. [Google Scholar] [CrossRef]
  14. Oliveira, M.R.; Sudati, I.P.; Konzen, V.D.M.; de Campos, A.C.; Wibelinger, L.M.; Correa, C.; Miguel, F.M.; Silva, R.N.; Borghi-Silva, A. COVID-19 and the impact on the physical activity level of elderly people: A systematic review. Exp. Gerontol. 2022, 159, 111675. [Google Scholar] [CrossRef] [PubMed]
  15. Sartori, R.; Romanello, V.; Sandri, M. Mechanisms of muscle atrophy and hypertrophy: Implications in health and disease. Nat. Commun. 2021, 12, 330. [Google Scholar] [CrossRef]
  16. Momma, H.; Kawakami, R.; Honda, T.; Sawada, S.S. Muscle-strengthening activities are associated with lower risk and mortality in major non-communicable diseases: A systematic review and meta-analysis of cohort studies. Br. J. Sports Med. 2022, 56, 755–763. [Google Scholar] [CrossRef]
  17. Latres, E.; Amini, A.R.; Amini, A.A.; Griffiths, J.; Martin, F.J.; Wei, Y.; Lin, H.C.; Yancopoulos, G.D.; Glass, D.J. Insulin-like growth factor-1 (IGF-1) inversely regulates atrophy-induced genes via the phosphatidylinositol 3-kinase/Akt/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway. J. Biol. Chem. 2005, 280, 2737–2744. [Google Scholar] [CrossRef] [Green Version]
  18. Yoshida, T.; Delafontaine, P. Mechanisms of IGF-1-mediated regulation of skeletal muscle hypertrophy and atrophy. Cells 2020, 9, 1970. [Google Scholar] [CrossRef]
  19. Bodine, S.C.; Latres, E.; Baumhueter, S.; Lai, V.K.-M.; Nunez, L.; Clarke, B.A.; Poueymirou, W.T.; Panaro, F.J.; Na, E.; Dharmarajan, K.; et al. Identification of ubiquitin ligases required for skeletal muscle atrophy. Science 2001, 294, 1704–1708. [Google Scholar] [CrossRef]
  20. Sandri, M.; Sandri, C.; Gilbert, A.; Skurk, C.; Calabria, E.; Picard, A.; Walsh, K.; Schiaffino, S.; Lecker, S.H.; Goldberg, A.L. Foxo transcription factors induce the atrophy-related ubiquitin ligase atrogin-1 and cause skeletal muscle atrophy. Cell 2004, 117, 399–412. [Google Scholar] [CrossRef] [Green Version]
  21. Stitt, T.N.; Drujan, D.; Clarke, B.A.; Panaro, F.; Timofeyva, Y.; Kline, W.O.; Gonzalez, M.; Yancopoulos, G.D.; Glass, D.J. The IGF-1/PI3K/Akt pathway prevents expression of muscle atrophy-induced ubiquitin ligases by inhibiting FOXO transcription factors. Mol. Cell 2004, 14, 395–403. [Google Scholar] [CrossRef]
  22. Schiaffino, S.; Dyar, K.A.; Ciciliot, S.; Blaauw, B.; Sandri, M. Mechanisms regulating skeletal muscle growth and atrophy. FEBS J. 2013, 280, 4294–4314. [Google Scholar] [CrossRef] [PubMed]
  23. McPherron, A.C.; Lawler, A.M.; Lee, S.-J. Regulation of skeletal muscle mass in mice by a new TGF-beta superfamily member. Nature 1997, 387, 83–90. [Google Scholar] [CrossRef] [PubMed]
  24. McPherron, A.C.; Lee, S.-J. Double muscling in cattle due to mutations in the myostatin gene. Proc. Natl. Acad. Sci. USA 1997, 94, 12457–12461. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Mosher, D.S.; Quignon, P.; Bustamante, C.D.; Sutter, N.B.; Mellersh, C.S.; Parker, H.G.; Ostrander, E.A. A mutation in the myostatin gene increases muscle mass and enhances racing performance in heterozygote dogs. PLoS Genet. 2007, 3, e79. [Google Scholar] [CrossRef]
  26. Acosta, J.; Carpio, Y.; Borroto, I.; González, O.; Estrada, M.P. Myostatin gene silenced by RNAi show a zebrafish giant phenotype. J. Biotechnol. 2005, 119, 324–331. [Google Scholar] [CrossRef] [PubMed]
  27. Aiello, D.; Patel, K.; Lasagna, E. The Myostatin Gene: An overview of mechanisms of action and its relevance to livestock animals. Anim. Genet. 2018, 49, 505–519. [Google Scholar] [CrossRef] [Green Version]
  28. Japan Embraces CRISPR-edited fish. Nat. Biotechnol. 2022, 40, 10. [CrossRef]
  29. Schuelke, M.; Wagner, K.R.; Stolz, L.E.; Hübner, C.; Riebel, T.; Kömen, W.; Braun, T.; Tobin, J.F.; Lee, S.-J. Myostatin mutation associated with gross muscle hypertrophy in a child. N. Engl. J. Med. 2004, 350, 2682–2688. [Google Scholar] [CrossRef] [Green Version]
  30. Lee, S.-J. Targeting the myostatin signaling pathway to treat muscle loss and metabolic dysfunction. J. Clin. Investig. 2021, 131, e148372. [Google Scholar] [CrossRef]
  31. Latres, E.; Mastaitis, J.; Fury, W.; Miloscio, L.; Trejos, J.; Pangilinan, J.; Okamoto, H.; Cavino, K.; Na, E.; Papatheodorou, A.; et al. Activin A more prominently regulates muscle mass in primates than does GDF8. Nat. Commun. 2017, 8, 15153. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Lee, S.-J. Regulation of muscle mass by myostatin. Annu. Rev. Cell Dev. Biol. 2004, 20, 61–86. [Google Scholar] [CrossRef] [PubMed]
  33. Schakman, O.; Kalista, S.; Barbé, C.; Loumaye, A.; Thissen, J.P. Glucocorticoid-induced skeletal muscle atrophy. Int. J. Biochem. Cell Biol. 2013, 45, 2163–2172. [Google Scholar] [CrossRef] [PubMed]
  34. Sandri, M. Protein breakdown in muscle wasting: Role of autophagy-lysosome and ubiquitin-proteasome. Int. J. Biochem. Cell Biol. 2013, 45, 2121–2129. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Sandri, M.; Coletto, L.; Grumati, P.; Bonaldo, P. Misregulation of autophagy and protein degradation systems in myopathies and muscular dystrophies. J. Cell Sci. 2013, 126, 5325–5333. [Google Scholar] [CrossRef] [Green Version]
  36. Esteller, M. Non-coding RNAs in human disease. Nat. Rev. Genet. 2011, 12, 861–874. [Google Scholar] [CrossRef]
  37. Quinn, J.J.; Chang, H.Y. Unique features of long non-coding RNA biogenesis and function. Nat. Rev. Genet. 2016, 17, 47–62. [Google Scholar] [CrossRef]
  38. Ma, L.; Cao, J.; Liu, L.; Du, Q.; Li, Z.; Zou, D.; Bajic, V.B.; Zhang, Z. LncBook: A curated knowledgebase of human long non-coding RNAs. Nucleic Acids Res. 2019, 47, D128–D134. [Google Scholar] [CrossRef] [Green Version]
  39. Chen, G.; Wang, Z.; Wang, D.; Qiu, C.; Liu, M.; Chen, X.; Zhang, Q.; Yan, G.; Cui, Q. LncRNADisease: A database for long-non-coding RNA-associated diseases. Nucleic Acids Res. 2013, 41, D983–D986. [Google Scholar] [CrossRef] [Green Version]
  40. Bao, Z.; Yang, Z.; Huang, Z.; Zhou, Y.; Cui, Q.; Dong, D. LncRNADisease 2.0: An updated database of long non-coding RNA-associated diseases. Nucleic Acids Res. 2019, 47, D1034–D1037. [Google Scholar] [CrossRef]
  41. Hirose, T.; Mishima, Y.; Tomari, Y. Elements and machinery of non-coding RNAs: Toward their taxonomy. EMBO Rep. 2014, 15, 489–507. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Ransohoff, J.D.; Wei, Y.; Khavari, P.A. The functions and unique features of long intergenic non-coding RNA. Nat. Rev. Mol. Cell Biol. 2018, 19, 143–157. [Google Scholar] [CrossRef] [PubMed]
  43. Rashid, F.; Shah, A.; Shan, G. Long non-coding RNAs in the cytoplasm. Genom. Proteom. Bioinform. 2016, 14, 73–80. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Bushati, N.; Cohen, S.M. microRNA functions. Annu. Rev. Cell Dev. Biol. 2007, 23, 175–205. [Google Scholar] [CrossRef] [PubMed]
  45. Chal, J.; Pourquié, O. Making muscle: Skeletal myogenesis in vivo and in vitro. Development 2017, 144, 2104–2122. [Google Scholar] [CrossRef] [Green Version]
  46. Tapscott, S.J. The Circuitry of a master switch: Myod and the regulation of skeletal muscle gene transcription. Development 2005, 132, 2685–2695. [Google Scholar] [CrossRef] [Green Version]
  47. Ott, M.O.; Bober, E.; Lyons, G.; Arnold, H.; Buckingham, M. Early expression of the myogenic regulatory gene, Myf-5, in precursor cells of skeletal muscle in the mouse embryo. Development 1991, 111, 1097–1107. [Google Scholar] [CrossRef]
  48. Rudnicki, M.A.; Schnegelsberg, P.N.J.; Stead, R.H.; Braun, T.; Arnold, H.-H.; Jaenisch, R. MyoD or Myf-5 is required for the formation of skeletal muscle. Cell 1993, 75, 1351–1359. [Google Scholar] [CrossRef]
  49. Myers, T.K.; Andreuzza, S.E.; Franklin, D.S. p18INK4c and p27KIP1 are required for cell cycle arrest of differentiated myotubes. Exp. Cell Res. 2004, 300, 365–378. [Google Scholar] [CrossRef]
  50. Ruijtenberg, S.; van den Heuvel, S. Coordinating cell proliferation and differentiation: Antagonism between cell cycle regulators and cell type-specific gene expression. Cell Cycle 2016, 15, 196–212. [Google Scholar] [CrossRef] [Green Version]
  51. Cam, H.; Griesmann, H.; Beitzinger, M.; Hofmann, L.; Beinoraviciute-Kellner, R.; Sauer, M.; Hüttinger-Kirchhof, N.; Oswald, C.; Friedl, P.; Gattenlöhner, S.; et al. p53 family members in myogenic differentiation and rhabdomyosarcoma development. Cancer Cell 2006, 10, 281–293. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Cao, Y.; Kumar, R.M.; Penn, B.H.; Berkes, C.A.; Kooperberg, C.; Boyer, L.A.; Young, R.A.; Tapscott, S.J. Global and gene-specific analyses show distinct roles for Myod and Myog at a common set of promoters. EMBO J. 2006, 25, 502–511. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Millay, D.P.; O’Rourke, J.R.; Sutherland, L.B.; Bezprozvannaya, S.; Shelton, J.M.; Bassel-Duby, R.; Olson, E.N. Myomaker is a membrane activator of myoblast fusion and muscle formation. Nature 2013, 499, 301–305. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Kassar-Duchossoy, L.; Gayraud-Morel, B.; Gomès, D.; Rocancourt, D.; Buckingham, M.; Shinin, V.; Tajbakhsh, S. Mrf4 determines skeletal muscle identity in Myf5:Myod double-mutant mice. Nature 2004, 431, 466–471. [Google Scholar] [CrossRef]
  55. Berkes, C.A.; Tapscott, S.J. MyoD and the transcriptional control of myogenesis. Semin. Cell Dev. Biol. 2005, 16, 585–595. [Google Scholar] [CrossRef]
  56. Hitachi, K.; Tsuchida, K. The chemical biology of long noncoding RNAs-Regulatory roles of long non-coding RNAs in skeletal muscle differentiation, regeneration, and disorders. RNA Technol. 2020, 11, 431–463. [Google Scholar] [CrossRef]
  57. Hitachi, K.; Nakatani, M.; Takasaki, A.; Ouchi, Y.; Uezumi, A.; Ageta, H.; Inagaki, H.; Kurahashi, H.; Tsuchida, K. Myogenin promoter-associated lncRNA Myoparr is essential for myogenic differentiation. EMBO Rep. 2019, 20, e47468. [Google Scholar] [CrossRef]
  58. Hamazaki, N.; Uesaka, M.; Nakashima, K.; Agata, K.; Imamura, T. Gene activation-associated long noncoding RNAs function in mouse preimplantation development. Development 2015, 142, 910–920. [Google Scholar] [CrossRef] [Green Version]
  59. Shin, S.; Janknecht, R. Concerted activation of the Mdm2 promoter by p72 RNA helicase and the coactivators p300 and P/CAF. J. Cell. Biochem. 2007, 101, 1252–1265. [Google Scholar] [CrossRef]
  60. Kim, H.K.; Lee, Y.S.; Sivaprasad, U.; Malhotra, A.; Dutta, A. Muscle-specific microRNA miR-206 promotes muscle differentiation. J. Cell Biol. 2006, 174, 677–687. [Google Scholar] [CrossRef]
  61. Feng, Y.; Niu, L.-L.; Wei, W.; Zhang, W.-Y.; Li, X.-Y.; Cao, J.-H.; Zhao, S.-H. A feedback circuit between miR-133 and the ERK1/2 pathway involving an exquisite mechanism for regulating myoblast proliferation and differentiation. Cell Death Dis. 2013, 4, e934. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Dey, B.K.; Pfeifer, K.; Dutta, A. The H19 long noncoding RNA gives rise to microRNAs miR-675-3p and miR-675-5p to promote skeletal muscle differentiation and regeneration. Genes Dev. 2014, 28, 491–501. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Hitachi, K.; Kiyofuji, Y.; Nakatani, M.; Tsuchida, K. Myoparr-associated and -independent multiple roles of heterogeneous nuclear ribonucleoprotein K during skeletal muscle cell differentiation. Int. J. Mol. Sci. 2022, 23, 108. [Google Scholar] [CrossRef] [PubMed]
  64. Nabeshima, Y.; Hanaoka, K.; Hayasaka, M.; Esuml, E.; Li, S.; Nonaka, I.; Nabeshima, Y. Myogenin gene disruption results in perinatal lethality because of severe muscle defect. Nature 1993, 364, 532–535. [Google Scholar] [CrossRef]
  65. Hasty, P.; Bradley, A.; Morris, J.H.; Edmondson, D.G.; Venuti, J.M.; Olson, E.N.; Klein, W.H. Muscle deficiency and neonatal death in mice with a targeted mutation in the myogenin gene. Nature 1993, 364, 501–506. [Google Scholar] [CrossRef] [PubMed]
  66. Moresi, V.; Williams, A.H.; Meadows, E.; Flynn, J.M.; Potthoff, M.J.; McAnally, J.; Shelton, J.M.; Backs, J.; Klein, W.H.; Richardson, J.A.; et al. Myogenin and class II HDACs control neurogenic muscle atrophy by inducing E3 ubiquitin ligases. Cell 2010, 143, 35–45. [Google Scholar] [CrossRef] [Green Version]
  67. Hitachi, K.; Nakatani, M.; Funasaki, S.; Hijikata, I.; Maekawa, M.; Honda, M.; Tsuchida, K. Expression levels of long non-coding RNAs change in models of altered muscle activity and muscle mass. Int. J. Mol. Sci. 2020, 21, 1628. [Google Scholar] [CrossRef] [Green Version]
  68. Hitachi, K.; Nakatani, M.; Tsuchida, K. Long non-coding RNA Myoparr regulates GDF5 expression in denervated mouse skeletal muscle. Non-Coding RNA 2019, 5, 33. [Google Scholar] [CrossRef] [Green Version]
  69. Sartori, R.; Schirwis, E.; Blaauw, B.; Bortolanza, S.; Zhao, J.; Enzo, E.; Stantzou, A.; Mouisel, E.; Toniolo, L.; Ferry, A.; et al. BMP signaling controls muscle mass. Nat. Genet. 2013, 45, 1309–1318. [Google Scholar] [CrossRef]
  70. Ballarino, M.; Cazzella, V.; D’Andrea, D.; Grassi, L.; Bisceglie, L.; Cipriano, A.; Santini, T.; Pinnarò, C.; Morlando, M.; Tramontano, A.; et al. Novel long noncoding RNAs (LncRNAs) in myogenesis: A miR-31 overlapping lncRNA transcript controls myoblast differentiation. Mol. Cell. Biol. 2015, 35, 728–736. [Google Scholar] [CrossRef] [Green Version]
  71. Ballarino, M.; Cipriano, A.; Tita, R.; Santini, T.; Desideri, F.; Morlando, M.; Colantoni, A.; Carrieri, C.; Nicoletti, C.; Musarò, A.; et al. Deficiency in the nuclear long noncoding RNA Charme causes myogenic defects and heart remodeling in mice. EMBO J. 2018, 37, e99697. [Google Scholar] [CrossRef] [PubMed]
  72. Desideri, F.; Cipriano, A.; Petrezselyova, S.; Buonaiuto, G.; Santini, T.; Kasparek, P.; Prochazka, J.; Janson, G.; Paiardini, A.; Calicchio, A.; et al. Intronic determinants coordinate Charme lncRNA nuclear activity through the interaction with MATR3 and PTBP1. Cell Rep. 2020, 33, 108548. [Google Scholar] [CrossRef] [PubMed]
  73. Chujo, T.; Yamazaki, T.; Kawaguchi, T.; Kurosaka, S.; Takumi, T.; Nakagawa, S.; Hirose, T. Unusual semi-extractability as a hallmark of nuclear body-associated architectural noncoding RNAs. EMBO J. 2017, 36, 1447–1462. [Google Scholar] [CrossRef] [PubMed]
  74. Wang, S.; Zuo, H.; Jin, J.; Lv, W.; Xu, Z.; Fan, Y.; Zhang, J.; Zuo, B. Long noncoding RNA Neat1 modulates myogenesis by recruiting Ezh2. Cell Death Dis. 2019, 10, 505. [Google Scholar] [CrossRef] [Green Version]
  75. Clemson, C.M.; Hutchinson, J.N.; Sara, S.A.; Ensminger, A.W.; Fox, A.H.; Chess, A.; Lawrence, J.B. An architectural role for a nuclear noncoding RNA: NEAT1 RNA is essential for the structure of paraspeckles. Mol. Cell 2009, 33, 717–726. [Google Scholar] [CrossRef] [Green Version]
  76. Mikovic, J.; Sadler, K.; Butchart, L.; Voisin, S.; Gerlinger-Romero, F.; Gatta, P.D.; Grounds, M.D.; Lamon, S. MicroRNA and long non-coding RNA regulation in skeletal muscle from growth to old age shows striking dysregulation of the callipyge locus. Front. Genet. 2018, 9, 548. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Wang, S.; Xu, X.; Liu, Y.; Jin, J.; Zhu, F.; Bai, W.; Guo, Y.; Zhang, J.; Zuo, H.; Xu, Z.; et al. RIP-Seq of EZH2 identifies TCONS-00036665 as a regulator of myogenesis in pigs. Front. Cell Dev. Biol. 2021, 8, 618617. [Google Scholar] [CrossRef]
  78. Matsumoto, A.; Nakayama, K.I. Hidden peptides encoded by putative noncoding RNAs. Cell Struct. Funct. 2018, 43, 18005. [Google Scholar] [CrossRef] [Green Version]
  79. Anderson, D.M.; Anderson, K.M.; Chang, C.-L.; Makarewich, C.A.; Nelson, B.R.; McAnally, J.R.; Kasaragod, P.; Shelton, J.M.; Liou, J.; Bassel-Duby, R.; et al. A micropeptide encoded by a putative long noncoding RNA regulates muscle performance. Cell 2015, 160, 595–606. [Google Scholar] [CrossRef] [Green Version]
  80. Yu, X.; Zhang, Y.; Li, T.; Ma, Z.; Jia, H.; Chen, Q.; Zhao, Y.; Zhai, L.; Zhong, R.; Li, C.; et al. Long non-coding RNA Linc-RAM enhances myogenic differentiation by interacting with MyoD. Nat. Commun. 2017, 8, 14016. [Google Scholar] [CrossRef] [Green Version]
  81. Zhai, L.; Wan, X.; Wu, R.; Yu, X.; Li, H.; Zhong, R.; Zhu, D.; Zhang, Y. Linc-RAM promotes muscle cell differentiation via regulating glycogen phosphorylase activity. Cell Regen. 2022, 11, 8. [Google Scholar] [CrossRef] [PubMed]
  82. Xing, J.; Liu, H.; Jiang, W.; Wang, L. LncRNA-encoded peptide: Functions and predicting methods. Front. Oncol. 2021, 10, 622294. [Google Scholar] [CrossRef] [PubMed]
  83. Lv, W.; Jin, J.; Xu, Z.; Luo, H.; Guo, Y.; Wang, X.; Wang, S.; Zhang, J.; Zuo, H.; Bai, W.; et al. LncMGPF is a novel positive regulator of muscle growth and regeneration. J. Cachexia Sarcopenia Muscle 2020, 11, 1723–1746. [Google Scholar] [CrossRef] [PubMed]
  84. Lv, W.; Zhao, S.; Hou, Y.; Tong, Q.; Peng, Y.; Li, J.; Xu, Z.; Zuo, B. Single nucleotide polymorphisms of porcine lncMGPF regulate meat production traits by affecting RNA stability. Front. Cell Dev. Biol. 2021, 9, 731712. [Google Scholar] [CrossRef] [PubMed]
  85. Wilkinson, D.J.; Piasecki, M.; Atherton, P.J. The age-related loss of skeletal muscle mass and function: Measurement and physiology of muscle fibre atrophy and muscle fibre loss in humans. Ageing Res. Rev. 2018, 47, 123–132. [Google Scholar] [CrossRef]
  86. Zheng, Y.; Liu, T.; Li, Q.; Li, J. Integrated analysis of long non-coding RNAs (lncRNAs) and mRNA expression profiles identifies lncRNA PRKG1-AS1 playing important roles in skeletal muscle aging. Aging 2021, 13, 15044–15060. [Google Scholar] [CrossRef]
  87. Ruan, L.; Mendhe, B.; Parker, E.; Kent, A.; Isales, C.M.; Hill, W.D.; McGee-Lawrence, M.; Fulzele, S.; Hamrick, M.W. Long non-coding RNA MALAT1 is depleted with age in skeletal muscle in vivo and MALAT1 silencing increases expression of TGF-β1 in vitro. Front. Physiol. 2022, 12, 742004. [Google Scholar] [CrossRef]
  88. Hitachi, K.; Tsuchida, K. Myostatin-deficiency in mice increases global gene expression at the Dlk1-Dio3 locus in the skeletal muscle. Oncotarget 2017, 8, 5943–5953. [Google Scholar] [CrossRef] [Green Version]
  89. Hitachi, K.; Nakatani, M.; Kiyofuji, Y.; Inagaki, H.; Kurahashi, H.; Tsuchida, K. An analysis of differentially expressed coding and long non-coding RNAs in multiple models of skeletal muscle atrophy. Int. J. Mol. Sci. 2021, 22, 2558. [Google Scholar] [CrossRef]
  90. Neppl, R.L.; Wu, C.-L.; Walsh, K. LncRNA Chronos is an aging-induced inhibitor of muscle hypertrophy. J. Cell Biol. 2017, 216, 3497–3507. [Google Scholar] [CrossRef] [Green Version]
  91. Sun, L.; Si, M.; Liu, X.; Choi, J.M.; Wang, Y.; Thomas, S.S.; Peng, H.; Hu, Z. Long-noncoding RNA Atrolnc-1 promotes muscle wasting in mice with chronic kidney disease. J. Cachexia Sarcopenia Muscle 2018, 9, 962–974. [Google Scholar] [CrossRef] [PubMed]
  92. Li, Y.; Shi, H.; Chen, R.; Zhou, S.; Lei, S.; She, Y. Role of miRNAs and lncRNAs in dexamethasone-induced myotube atrophy in vitro. Exp. Ther. Med. 2021, 21, 146. [Google Scholar] [CrossRef]
  93. Lei, S.; She, Y.; Zeng, J.; Chen, R.; Zhou, S.; Shi, H. Expression patterns of regulatory lncRNAs and miRNAs in muscular atrophy models induced by starvation in vitro and in vivo. Mol. Med. Rep. 2019, 20, 4175–4185. [Google Scholar] [CrossRef] [PubMed]
  94. Li, J.; Yang, T.; Tang, H.; Sha, Z.; Chen, R.; Chen, L.; Yu, Y.; Rowe, G.C.; Das, S.; Xiao, J. Inhibition of lncRNA MAAT controls multiple types of muscle atrophy by cis- and trans-regulatory actions. Mol. Ther. 2021, 29, 1102–1119. [Google Scholar] [CrossRef] [PubMed]
  95. Li, J.; Chan, M.C.; Yu, Y.; Bei, Y.; Chen, P.; Zhou, Q.; Cheng, L.; Chen, L.; Ziegler, O.; Rowe, G.C.; et al. miR-29b contributes to multiple types of muscle atrophy. Nat. Commun. 2017, 8, 15201. [Google Scholar] [CrossRef] [Green Version]
  96. Li, J.; Wang, L.; Hua, X.; Tang, H.; Chen, R.; Yang, T.; Das, S.; Xiao, J. CRISPR/Cas9-mediated miR-29b editing as a treatment of different types of muscle atrophy in mice. Mol. Ther. 2020, 28, 1359–1372. [Google Scholar] [CrossRef] [Green Version]
  97. Alessio, E.; Buson, L.; Chemello, F.; Peggion, C.; Grespi, F.; Martini, P.; Massimino, M.L.; Pacchioni, B.; Millino, C.; Romualdi, C.; et al. Single cell analysis reveals the involvement of the long non-coding RNA Pvt1 in the modulation of muscle atrophy and mitochondrial network. Nucleic Acids Res. 2019, 47, 1653–1670. [Google Scholar] [CrossRef] [Green Version]
  98. Cho, S.W.; Xu, J.; Sun, R.; Mumbach, M.R.; Carter, A.C.; Chen, Y.G.; Yost, K.E.; Kim, J.; He, J.; Nevins, S.A.; et al. Promoter of lncRNA gene PVT1 is a tumor-suppressor DNA boundary element. Cell 2018, 173, 1398–1412.e22. [Google Scholar] [CrossRef] [Green Version]
  99. Cai, B.; Ma, M.; Zhang, J.; Wang, Z.; Kong, S.; Zhou, Z.; Lian, L.; Zhang, J.; Li, J.; Wang, Y.; et al. LncEDCH1 improves mitochondrial function to reduce muscle atrophy by interacting with SERCA2. Mol. Ther.-Nucleic Acids 2021, 27, 319–334. [Google Scholar] [CrossRef]
  100. Cesana, M.; Cacchiarelli, D.; Legnini, I.; Santini, T.; Sthandier, O.; Chinappi, M.; Tramontano, A.; Bozzoni, I. A long noncoding RNA controls muscle differentiation by functioning as a competing endogenous RNA. Cell 2011, 147, 358–369. [Google Scholar] [CrossRef] [Green Version]
  101. Legnini, I.; Morlando, M.; Mangiavacchi, A.; Fatica, A.; Bozzoni, I. A feedforward regulatory loop between HuR and the long noncoding RNA linc-MD1 controls early phases of myogenesis. Mol. Cell 2014, 53, 506–514. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  102. Butchart, L.C.; Terrill, J.R.; Rossetti, G.; White, R.; Filipovska, A.; Grounds, M.D. Expression patterns of regulatory RNAs, including lncRNAs and tRNAs, during postnatal growth of normal and dystrophic (mdx) mouse muscles, and their response to taurine treatment. Int. J. Biochem. Cell Biol. 2018, 99, 52–63. [Google Scholar] [CrossRef] [PubMed]
  103. Liu, M.; Li, B.; Peng, W.; Ma, Y.; Huang, Y.; Lan, X.; Lei, C.; Qi, X.; Liu, G.E.; Chen, H. LncRNA-MEG3 promotes bovine myoblast differentiation by sponging miR-135. J. Cell. Physiol. 2019, 234, 18361–18370. [Google Scholar] [CrossRef] [PubMed]
  104. Han, X.; Yang, F.; Cao, H.; Liang, Z. Malat1 regulates serum response factor through miR-133 as a competing endogenous RNA in myogenesis. FASEB J. 2015, 29, 3054–3064. [Google Scholar] [CrossRef] [Green Version]
  105. Jin, C.F.; Li, Y.; Ding, X.B.; Li, X.; Zhang, L.L.; Liu, X.F.; Guo, H. Lnc133b, a novel, long non-coding RNA, regulates bovine skeletal muscle satellite cell proliferation and differentiation by mediating miR-133b. Gene 2017, 630, 35–43. [Google Scholar] [CrossRef] [PubMed]
  106. Li, H.; Yang, J.; Jiang, R.; Wei, X.; Song, C.; Huang, Y.; Lan, X.; Lei, C.; Ma, Y.; Hu, L.; et al. Long non-coding RNA profiling reveals an abundant MDNCR that promotes differentiation of myoblasts by sponging miR-133a. Mol. Ther.-Nucleic Acids 2018, 12, 610–625. [Google Scholar] [CrossRef] [Green Version]
  107. Kallen, A.N.; Zhou, X.-B.; Xu, J.; Qiao, C.; Ma, J.; Yan, L.; Lu, L.; Liu, C.; Yi, J.-S.; Zhang, H.; et al. The imprinted H19 lncRNA antagonizes let-7 microRNAs. Mol. Cell 2013, 52, 101–112. [Google Scholar] [CrossRef] [Green Version]
  108. Martinet, C.; Monnier, P.; Louault, Y.; Benard, M.; Gabory, A.; Dandolo, L. H19 controls reactivation of the imprinted gene network during muscle regeneration. Development 2016, 143, 962–971. [Google Scholar] [CrossRef] [Green Version]
  109. Zhang, Y.; Li, Y.; Hu, Q.; Xi, Y.; Xing, Z.; Zhang, Z.; Huang, L.; Wu, J.; Liang, K.; Nguyen, T.K.; et al. The lncRNA H19 alleviates muscular dystrophy by stabilizing dystrophin. Nat. Cell Biol. 2020, 22, 1332–1345. [Google Scholar] [CrossRef]
  110. Zhu, M.; Liu, J.; Xiao, J.; Yang, L.; Cai, M.; Shen, H.; Chen, X.; Ma, Y.; Hu, S.; Wang, Z.; et al. Lnc-Mg is a long non-coding RNA that promotes myogenesis. Nat. Commun. 2017, 8, 14718. [Google Scholar] [CrossRef] [Green Version]
  111. Du, J.; Zhang, P.; Zhao, X.; He, J.; Xu, Y.; Zou, Q.; Luo, J.; Shen, L.; Gu, H.; Tang, Q.; et al. microRNA-351-5p mediates skeletal myogenesis by directly targeting lactamase-β and is regulated by lnc-mg. FASEB J. 2019, 33, 1911–1926. [Google Scholar] [CrossRef]
  112. Jin, J.J.; Lv, W.; Xia, P.; Xu, Z.Y.; Zheng, A.D.; Wang, X.J.; Wang, S.S.; Zeng, R.; Luo, H.M.; Li, G.L.; et al. Long noncoding RNA SYISL regulates myogenesis by interacting with polycomb repressive complex 2. Proc. Natl. Acad Sci. USA 2018, 115, E9802–E9811. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Jin, J.; Du, M.; Wang, J.; Guo, Y.; Zhang, J.; Zuo, H.; Hou, Y.; Wang, S.; Lv, W.; Bai, W.; et al. Conservative analysis of Synaptopodin-2 intron sense-overlapping lncRNA reveals its novel function in promoting muscle atrophy. J. Cachexia Sarcopenia Muscle 2022, in press. [Google Scholar] [CrossRef] [PubMed]
  114. Wei, C.; Wu, M.; Wang, C.; Liu, R.; Zhao, H.; Yang, L.; Liu, J.; Wang, Y.; Zhang, S.; Yuan, Z.; et al. Long noncoding RNA lnc-SEMT modulates IGF2 expression by sponging miR-125b to promote sheep muscle development and growth. Cell. Physiol. Biochem. 2018, 49, 447–462. [Google Scholar] [CrossRef] [PubMed]
  115. Li, Z.; Cai, B.; Abdalla, B.A.; Zhu, X.; Zheng, M.; Han, P.; Nie, Q.; Zhang, X. lncIRS1 controls muscle atrophy via sponging miR-15 family to activate IGF1-PI3K/AKT pathway. J. Cachexia Sarcopenia Muscle 2019, 10, 391–410. [Google Scholar] [CrossRef] [Green Version]
  116. Zhang, Z.-K.; Li, J.; Guan, D.; Liang, C.; Zhuo, Z.; Liu, J.; Lu, A.; Zhang, G.; Zhang, B.-T. Long noncoding RNA lncMUMA reverses established skeletal muscle atrophy following mechanical unloading. Mol. Ther. 2018, 26, 2669–2680. [Google Scholar] [CrossRef] [Green Version]
  117. Zhang, Z.; Li, J.; Guan, D.; Liang, C.; Zhuo, Z.; Liu, J.; Lu, A.; Zhang, G.; Zhang, B. A newly identified lncRNA MAR1 acts as a miR-487b sponge to promote skeletal muscle differentiation and regeneration. J. Cachexia Sarcopenia Muscle 2018, 9, 613–626. [Google Scholar] [CrossRef] [Green Version]
  118. Tanaka, S.; Terada, K.; Nohno, T. Canonical Wnt signaling is involved in switching from cell proliferation to myogenic differentiation of mouse myoblast cells. J. Mol. Signal. 2011, 6, 12. [Google Scholar] [CrossRef] [Green Version]
  119. Liang, T.; Zhou, B.; Shi, L.; Wang, H.; Chu, Q.; Xu, F.; Li, Y.; Chen, R.; Shen, C.; Schinckel, A.P. lncRNA AK017368 promotes proliferation and suppresses differentiation of myoblasts in skeletal muscle development by attenuating the function of miR-30c. FASEB J. 2018, 32, 377–389. [Google Scholar] [CrossRef] [Green Version]
  120. Guess, M.G.; Barthel, K.K.B.; Harrison, B.C.; Leinwand, L.A. miR-30 family microRNAs regulate myogenic differentiation and provide negative feedback on the microRNA pathway. PLoS ONE 2015, 10, e0118229. [Google Scholar] [CrossRef]
  121. Cai, R.; Tang, G.; Zhang, Q.; Yong, W.; Zhang, W.; Xiao, J.; Wei, C.; He, C.; Yang, G.; Pang, W. A novel lnc-RNA, named lnc-ORA, is identified by RNA-Seq analysis, and its knockdown inhibits adipogenesis by regulating the PI3K/AKT/mTOR signaling pathway. Cells 2019, 8, 477. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  122. Cai, R.; Zhang, Q.; Wang, Y.; Yong, W.; Zhao, R.; Pang, W. Lnc-ORA interacts with microRNA-532-3p and IGF2BP2 to inhibit skeletal muscle myogenesis. J. Biol. Chem. 2021, 296, 100376. [Google Scholar] [CrossRef] [PubMed]
  123. Schiaffino, S.; Reggiani, C. Fiber types in mammalian skeletal muscles. Physiol. Rev. 2011, 91, 1447–1531. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  124. Larsson, L.; Grimby, G.; Karlsson, J. Muscle strength and speed of movement in relation to age and muscle morphology. J. Appl. Physiol. 1979, 46, 451–456. [Google Scholar] [CrossRef]
  125. Alves, C.R.R.; Eichelberger, E.J.; Neves, W.; Ribeiro, M.A.C.; Bechara, L.R.G.; Voltarelli, V.A.; Almeida, N.R.; Hagen, L.; Sharma, A.; Ferreira, J.C.B.; et al. Cancer-induced muscle atrophy is determined by intrinsic muscle oxidative capacity. FASEB J. 2021, 35, e21714. [Google Scholar] [CrossRef]
  126. Wohlwend, M.; Laurila, P.-P.; Williams, K.; Romani, M.; Lima, T.; Pattawaran, P.; Benegiamo, G.; Salonen, M.; Schneider, B.L.; Lahti, J.; et al. The exercise-induced long noncoding RNA CYTOR promotes fast-twitch myogenesis in aging. Sci. Transl. Med. 2021, 13, eabc7367. [Google Scholar] [CrossRef]
  127. Tsika, R.W.; Schramm, C.; Simmer, G.; Fitzsimons, D.P.; Moss, R.L.; Ji, J. Overexpression of TEAD-1 in transgenic mouse striated muscles produces a slower skeletal muscle contractile phenotype. J. Biol. Chem. 2008, 283, 36154–36167. [Google Scholar] [CrossRef] [Green Version]
  128. Honda, M.; Hidaka, K.; Fukada, S.; Sugawa, R.; Shirai, M.; Ikawa, M.; Morisaki, T. Vestigial-like 2 contributes to normal muscle fiber type distribution in mice. Sci. Rep. 2017, 7, 7168. [Google Scholar] [CrossRef] [Green Version]
  129. Honda, M.; Tsuchimochi, H.; Hitachi, K.; Ohno, S. Transcriptional cofactor Vgll2 is required for functional adaptations of skeletal muscle induced by chronic overload. J. Cell. Physiol. 2019, 234, 15809–15824. [Google Scholar] [CrossRef]
  130. Yu, J.; Wang, Z.; Yang, X.; Ma, M.; Li, Z.; Nie, Q. LncRNA-FKBP1C regulates muscle fiber type switching by affecting the stability of MYH1B. Cell Death Discov. 2021, 7, 73. [Google Scholar] [CrossRef]
  131. Zhang, J.; Cai, B.; Ma, M.; Kong, S.; Zhou, Z.; Zhang, X.; Nie, Q. LncRNA SMARCD3-OT1 promotes muscle hypertrophy and fast-twitch fiber transformation via enhancing SMARCD3X4 expression. Int. J. Mol. Sci. 2022, 23, 4510. [Google Scholar] [CrossRef] [PubMed]
  132. Cai, B.; Ma, M.; Zhang, J.; Kong, S.; Zhou, Z.; Li, Z.; Abdalla, B.A.; Xu, H.; Zhang, X.; Lawal, R.A.; et al. Long noncoding RNA ZFP36L2-AS functions as a metabolic modulator to regulate muscle development. Cell Death Dis. 2022, 13, 389. [Google Scholar] [CrossRef] [PubMed]
  133. Sakakibara, I.; Santolini, M.; Ferry, A.; Hakim, V.; Maire, P. Six homeoproteins and a linc-RNA at the fast Myh locus lock fast myofiber terminal phenotype. PLoS Genet. 2014, 10, e1004386. [Google Scholar] [CrossRef] [PubMed]
  134. Schutt, C.; Hallmann, A.; Hachim, S.; Klockner, I.; Valussi, M.; Atzberger, A.; Graumann, J.; Braun, T.; Boettger, T. Linc-MYH configures INO80 to regulate muscle stem cell numbers and skeletal muscle hypertrophy. EMBO J. 2020, 39, e105098. [Google Scholar] [CrossRef] [PubMed]
  135. Santos, M.D.; Backer, S.; Auradé, F.; Wong, M.M.-K.; Wurmser, M.; Pierre, R.; Langa, F.; Cruzeiro, M.D.; Schmitt, A.; Concordet, J.-P.; et al. A fast myosin super enhancer dictates muscle fiber phenotype through competitive interactions with myosin genes. Nat. Commun. 2022, 13, 1039. [Google Scholar] [CrossRef] [PubMed]
  136. Cai, B.; Li, Z.; Ma, M.; Zhang, J.; Kong, S.; Abdalla, B.A.; Xu, H.; Jebessa, E.; Zhang, X.; Lawal, R.A.; et al. Long noncoding RNA SMUL suppresses SMURF2 production-mediated muscle atrophy via nonsense-mediated mRNA decay. Mol. Ther.-Nucleic Acids 2021, 23, 512–526. [Google Scholar] [CrossRef]
  137. Kavsak, P.; Rasmussen, R.K.; Causing, C.G.; Bonni, S.; Zhu, H.; Thomsen, G.H.; Wrana, J.L. Smad7 binds to Smurf2 to form an E3 ubiquitin ligase that targets the TGFβ receptor for degradation. Mol. Cell 2000, 6, 1365–1375. [Google Scholar] [CrossRef]
  138. Chen, J.L.; Walton, K.L.; Hagg, A.; Colgan, T.D.; Johnson, K.; Qian, H.; Gregorevic, P.; Harrison, C.A. Specific targeting of TGF-β family ligands demonstrates distinct roles in the regulation of muscle mass in health and disease. Proc. Natl. Acad. Sci. USA 2017, 114, E5266–E5275. [Google Scholar] [CrossRef] [Green Version]
  139. Girgenrath, S.; Song, K.; Whittemore, L. Loss of myostatin expression alters fiber-type distribution and expression of myosin heavy chain isoforms in slow- and fast-type skeletal muscle. Muscle Nerve 2005, 31, 34–40. [Google Scholar] [CrossRef]
  140. Camilleri-Robles, C.; Amador, R.; Klein, C.C.; Guigó, R.; Corominas, M.; Ruiz-Romero, M. Genomic and functional conservation of lncRNAs: Lessons from flies. Mamm. Genome 2022, 33, 328–342. [Google Scholar] [CrossRef]
  141. Tian, Z.; Liang, G.; Cui, K.; Liang, Y.; Wang, Q.; Lv, S.; Cheng, X.; Zhang, L. Insight into the prospects for RNAi therapy of cancer. Front. Pharmacol. 2021, 12, 644718. [Google Scholar] [CrossRef] [PubMed]
  142. Zabaleta, N.; Dai, W.; Bhatt, U.; Hérate, C.; Maisonnasse, P.; Chichester, J.A.; Sanmiguel, J.; Estelien, R.; Michalson, K.T.; Diop, C.; et al. An AAV-based, room-temperature-stable, single-dose COVID-19 vaccine provides durable immunogenicity and protection in non-human primates. Cell Host Microbe 2021, 29, 1437–1453.e8. [Google Scholar] [CrossRef] [PubMed]
  143. Aguilar, R.; Spencer, K.B.; Kesner, B.; Rizvi, N.F.; Badmalia, M.D.; Mrozowich, T.; Mortison, J.D.; Rivera, C.; Smith, G.F.; Burchard, J.; et al. Targeting Xist with compounds that disrupt RNA structure and X inactivation. Nature 2022, 604, 160–166. [Google Scholar] [CrossRef] [PubMed]
  144. Gala, K.; Khattar, E. Long non-coding RNAs at work on telomeres: Functions and implications in cancer therapy. Cancer Lett. 2021, 502, 120–132. [Google Scholar] [CrossRef] [PubMed]
  145. Chang, K.-V.; Chen, Y.-C.; Wu, W.-T.; Shen, H.-J.; Huang, K.-C.; Chu, H.-P.; Han, D.-S. Expression of telomeric repeat-containing RNA decreases in sarcopenia and increases after exercise and nutrition intervention. Nutrients 2020, 12, 3766. [Google Scholar] [CrossRef]
  146. Hajj, J.E.; Nguyen, E.; Liu, Q.; Bouyer, C.; Adriaenssens, E.; Hilal, G.; Ségal-Bendirdjian, E. Telomerase regulation by the long non-coding RNA H19 in human acute promyelocytic leukemia cells. Mol. Cancer 2018, 17, 85. [Google Scholar] [CrossRef]
  147. Woo, J.; Yu, R.; Tang, N.; Leung, J. Telomere length is associated with decline in grip strength in older persons aged 65 years and over. Age 2014, 36, 9711. [Google Scholar] [CrossRef]
  148. Rippberger, P.L.; Emeny, R.T.; Mackenzie, T.A.; Bartels, S.J.; Batsis, J.A. The association of sarcopenia, telomere length, and mortality: Data from the NHANES 1999–2002. Eur. J. Clin. Nutr. 2018, 72, 255–263. [Google Scholar] [CrossRef]
  149. Bernabeu-Wittel, M.; Gómez-Díaz, R.; González-Molina, Á.; Vidal-Serrano, S.; Díez-Manglano, J.; Salgado, F.; Soto-Martín, M.; Ollero-Baturone, M.; On Behalf Of The Proteo Researchers. Oxidative stress, telomere shortening, and apoptosis associated to sarcopenia and frailty in patients with multimorbidity. J. Clin. Med. 2020, 9, 2669. [Google Scholar] [CrossRef]
  150. Arbeev, K.G.; Verhulst, S.; Steenstrup, T.; Kark, J.D.; Bagley, O.; Kooperberg, C.; Reiner, A.P.; Hwang, S.-J.; Levy, D.; Fitzpatrick, A.L.; et al. Association of leukocyte telomere length with mortality among adult participants in 3 longitudinal studies. JAMA Netw. Open 2020, 3, e200023. [Google Scholar] [CrossRef] [Green Version]
  151. Sebastiani, P.; Solovieff, N.; DeWan, A.T.; Walsh, K.M.; Puca, A.; Hartley, S.W.; Melista, E.; Andersen, S.; Dworkis, D.A.; Wilk, J.B.; et al. Genetic signatures of exceptional longevity in humans. PLoS ONE 2012, 7, e29848. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  152. Broer, L.; Buchman, A.S.; Deelen, J.; Evans, D.S.; Faul, J.D.; Lunetta, K.L.; Sebastiani, P.; Smith, J.A.; Smith, A.V.; Tanaka, T.; et al. GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy. J. Gerontol. 2015, 70, 110–118. [Google Scholar] [CrossRef] [PubMed]
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