The functional consequences of age-related changes in microRNA expression in skeletal muscle

A common characteristic of ageing is disrupted homeostasis between growth and atrophy of skeletal muscle resulting in loss of muscle mass and function, which is associated with sarcopenia. Sarcopenia is related to impaired balance, increased falls and decline in quality of life of older people. Ageing-related transcriptome and proteome changes in skeletal muscle have been characterised, however the molecular mechanisms underlying sarcopenia are still not fully understood. microRNAs are novel regulators of gene expression known to modulate skeletal muscle development and homeostasis. Expression of numerous microRNAs is disrupted in skeletal muscle with age however, the functional consequences of this are not yet understood. Given that a single microRNA can simultaneously affect multiple signalling pathways, microRNAs are potent modulators of pathophysiological changes occurring during ageing. Here we use microRNA and transcript expression profiling together with microRNA functional assays to show that disrupted microRNA:target interactions play an important role in maintaining muscle homeostasis. We identified miR-181a as a regulator of the sirtuin1 (Sirt1) gene expression in skeletal muscle and show that the expression of miR-181a and its target gene is disrupted in skeletal muscle from old mice. Moreover, we show that miR-181a:Sirt1 interactions regulate myotube size. Our results demonstrate that disrupted microRNA:target interactions are likely related to the pathophysiological changes occurring in skeletal muscle during ageing. Electronic supplementary material The online version of this article (doi:10.1007/s10522-016-9638-8) contains supplementary material, which is available to authorized users.


Introduction
Age-related loss of skeletal muscle mass and function, associated with sarcopenia, results in frailty, decline in strength and decrease in quality of life of older people. The mechanisms of age-related defective muscle homeostasis related to hypertrophy/atrophy are multifactorial and depend on a number of changes including mitochondrial production of reactive oxygen species (Jackson and McArdle 2011), changes in the muscle niche (Carlson and Conboy 2007), or alterations in circulating factors (Carlson et al. 2009).
Moreover, skeletal muscles of adult and old animals display substantially different gene (Welle et al. 2003;Sifakis et al. 2013) and protein (McDonagh et al. 2014) expression profiles. microRNAs (miRNAs) are small, non-coding RNAs that regulate gene expression at the posttranscriptional level. miRNAs are predicted to regulate two-thirds of the human genome, suggesting that miRNAs modulate many physiologically relevant processes (Friedman et al. 2009). Mature miRNAs are generated from primary-miRNA (pri-miRNA) precursors which are cleaved by the enzyme Drosha forming the pre-miRNA transcript. The pre-miRNA is transported into the cytoplasm, where the enzyme Dicer generates a 19-24 base pair miRNA duplex (Bartel 2004). The mature miRNA strand is incorporated into the RISC complex (RNA Induced Silencing Complex). The non-incorporated strand is often degraded however it may also be incorporated into the RISC. miRNAs guide the RISC to partially complementary sequences, usually contained within the 3 0 UTR of target mRNA transcripts, resulting in target mRNA degradation and/or inhibition of translation. Most mammalian miRNAs have only partially complementary sequences to their target mRNAs (Bartel 2004) resulting in challenging bioinformatic prediction of the target genes. microRNAs play significant roles in myogenic processes during embryonic development (Goljanek-Whysall et al. 2011 and in adults by regulating satellite cell function, muscle hypertrophy and myofibre type (McCarthy and Esser 2007;Crist et al. 2009;Van Rooij et al. 2009b;Goljanek-Whysall et al. 2012;Brown and Goljanek-Whysall 2015;Soriano-Arroquia et al. 2016). Moreover, the role of miRNAs in muscle during ageing has been demonstrated using satellite cell specific Dicer-deficient mice (Cheung et al. 2012), characterised by mild muscle atrophy and an impaired ability to regenerate muscle fibres following muscle injury. The differential expression of many muscle-enriched as well as non-muscle specific miRNAs in skeletal muscle during ageing in multiple species, including mice (Kim et al. 2014a), rats (Hu et al. 2014a), rhesus monkeys (Mercken et al. 2013) and humans (Drummond et al. 2011a;Rivas et al. 2014b;Zacharewicz et al. 2014) has been demonstrated. Moreover, differential expression of miRNAs in skeletal muscle of adult and old humans in response to an acute bout of resistance exercise has been shown (Rivas et al. 2014a;Zacharewicz et al. 2014). Soares et al. (2014) recently demonstrated that different catabolic conditions in muscle are associated with a unique and dynamic miRNA signature (Soares et al. 2014).
In this study, we aimed to establish the potential functional consequences of age-related dysregulation of microRNA:target interactions in skeletal muscle during ageing. We characterised the global changes in microRNA and mRNA expression profiles in skeletal muscle of adult and old mice using bioinformatics tools and modelling. Moreover, we identified a group of microRNAs, expression of which is affected by ageing in mice and humans and validated the ageingassociated changes in their expression in mouse skeletal muscle. We demonstrated that miR-181a is predicted to play a central role in ageing-related disrupted muscle homeostasis and validated differential expression of microRNA-181a and its target genes in skeletal muscle during ageing. Finally, we validated Sirt1 as a miR-181a target and demonstrated that manipulation of miR-181a expression regulates myotube size in vitro. These data suggest that ageingassociated changes in miR-181a and expression of its target gene(s) may indeed be associated with the ageing-related disrupted balance between muscle hypertrophy and atrophy.

Mice
The study was performed using male wild type C57Bl/ 6 mice obtained from Charles River (Margate). All mice were maintained under specific-pathogen free conditions, fed ad libitum a standard chow and maintained under barrier on a 12-h light-dark cycle. For tissue collection, mice were culled by cervical dislocation. The tissues were immediately excised, frozen and stored at -80°C. Experiments were performed in accordance with UK Home Office guidelines under the UK Animals (Scientific Procedures) Act 1986 and received ethical approval from the University of Liverpool Animal Welfare and Ethical Review Body (AWERB). For microarray studies, n = 3 adult (6 month) and n = 3 old (24 month) mice were used; for qPCR validation, an independent cohort of n = 6-9 adult and n = 4-6 old mice was used. microRNA and mRNA expression profiling in skeletal muscle of adult and old mice The tibialis anterior muscles (30-40 mg each) from adult and old mice were dissected and RNA was isolated using Trizol as described below. RNA integrity was assessed using a Bioanalyser instrument (Agilent Technologies) and samples with RIN [ 7 were used. An Affymetrix FlashTag Labelling kit and GeneChip microRNA 3.0 arrays were used for global miRNA expression profiling. GeneChip Mouse Gene 2.0 ST arrays (Affymetrix) were used for global transcriptomic analysis. Data pre-processing, modelling and differential expression analyses were carried out using the Expression Console and Transcriptome Analysis Control (Affymetrix) in the R environment (http://cran.r-project.org) using packages from the Bioconductor project (http://www. bioconductor.org). The oligo package (Carvalho and Irizarry 2010) has been developed for use with Affymetrix Gene ST arrays and takes into account the lack of incorporation of mismatch probes into the chip architecture. Raw Data distributions were initially visualised and assessed for spatial artefacts, array clustering, technical variability between arrays and to identify outliers prior to carrying out background correction, normalisation and summarisation using Robust Multichip Averaging (RMA). There were no outlying samples identified in the dataset, therefore n = 3 persists through to the differential expression analysis and the full sample set is represented. Data was then filtered for low variance using the genefilter package. Modelling and statistical analysis of differentially expressed genes was carried out in the limma package (Smyth 2004;Smyth et al. 2005;Ritchie et al. 2006Ritchie et al. , 2015. Two-group comparisons were used to determine statistically significant, differentially expressed transcript clusters using an empirical Bayes moderated t test. The Benjamini-Hochberg method was used for false discovery rate correction of p-values. For changes in microRNA expression in human skeletal muscle, publically available datasets were used (GSE23527; (Drummond et al. 2011b;Rivas et al. 2014a).

microRNA:target interaction predictions
Analysis of differentially expressed microRNAs and mRNAs and predicted microRNA target genes was completed using QIAGEN's Ingenuity Ò Pathway Analysis (IPA Ò ) Product (Ingenuity Ò Systems, http://www.ingenuity.com), specifically the Core Analysis function, the Path Designer feature and the microRNA Target Filter. A list of experimentally validated and predicted microRNA targets was produced based on Targetscan Human, TarBase, miRecords, Ingenuity Ò Expert Findings and Ingenuity Ò ExpertAssist Findings.
Real-Time PCR and western blotting RNA isolation and quantitative real time PCR were performed using standard methods as described previously (Goljanek-Whysall et al. 2014). cDNA synthesis (mRNA) was performed using 400-500 ng RNA and SuperScript II according to the manufacturer's protocol. cDNA synthesis (microRNA) was performed using 100 ng RNA and miRscript RT kit II according to the manufacturer's protocol. microRNA qPCR analysis was performed using miRScript Sybr-Green Mastermix in a 20 ll reaction according to the manufacturer's protocol. mRNA qPCR was performed using sso-Advanced SybrGreen Mastermix, using 1 ll of 10lM each primer in 20 ll reaction. All amplicons were designed to span an intron-exon junction (where mRNAs consisted of more than one exon) and were 200-300 nt long. Expression relative to b-2 microglobulin and/or 18S (mRNA) or Rnu-6 and/or Snord-61 (microRNA) was calculated using the delta delta Ct method. The qPCR conditions were: 95°C 10 s, 55°C (miRNA) or 60°C (mRNA) 30 s, 72°C 30 s (40x). Protein lysis and Western blots were performed as described (Goljanek-Whysall et al. 2014). The primers and reagents used are listed in Tables S4 and S5, respectively.
In vitro miRNA target validation Predicted target genes of miR-181 were initially chosen based on the global profiling data. Next our own and published data were used to narrow down the list of potential candidate targets to the ones that may be relevant to muscle ageing. The 3 0 UTR region of Sirt1 with a wild type (WT) or mutated miR-181 target site (mutant) were synthesised using GeneArt service (Invitrogen) and cloned into a GFP TOPO vector (Invitrogen). C2C12 myotubes cultured in 6-well plates were transfected using Lipofectamine 2000 TM with WT or mutant constructs (1000 ng), with or without miRNA mimic (50 nM). Protein was extracted after 48 h and GFP expression analysed by Western blotting.

Results
Ageing affects microRNA:target interactions in skeletal muscle of mice To model microRNA:target interactions in skeletal muscle during ageing, an unbiased microRNA and mRNA expression profiling was performed on the tibilais anterior (TA) muscle of adult and old mice using microarrays ( Figure S1). The expression of 16 microRNAs was significantly downregulated and the expression of 14 microRNAs was significantly upregulated in muscle during ageing (Table 1). Among the differentially expressed microRNAs were miR-181a, miR-208-5p or miR-499, miR-130a, miR-26a and miR-30c with previously characterised functions in skeletal muscle.
Given the potential of miRNAs to regulate a large number of cellular transcripts, transcript expression profiling was performed. The expression of only 12 transcripts was significantly downregulated and the expression of 19 mRNAs was significantly upregulated in the TA muscle of old mice compared with the muscle of adult mice (p \ 0.05; Table 2). This low number of differentially expressed genes in muscle during ageing may be related to a limited number of biological replicates (n = 3). Among the genes differentially expressed during ageing were genes associated with metabolism and mitochondrial function: Ucp3, Pdk4; methylation: Mettl21c; DNA damage response: Gadd45 g; retinoic acid signalling: Rarres1; as well as cellular senescence: Cdkn1 (p21).
To understand the biological relevance of the changes in microRNA expression during ageing, microRNA: predicted target interactions were modelled using miRSystem (http://mirsystem.cgm.ntu. edu.tw/index.php). The top pathway predicted to be regulated by microRNAs downregulated in muscle during ageing was the insulin signalling pathway with 137 microRNA putative targets being associated with this pathway (Table 3). Targets of microRNAs upregulated during ageing were associated with protein processing in endoplasmic reticulum, splicing and ubiquitin-mediated proteolysis ( Table 3). Analysis of microRNA:target interactions using Ingenuity pathways indicated that ubiquitin-mediated proteolysis, mitochondrial metabolism, insulin signalling and splicing were regulated by microRNAs downregulated in muscle during ageing, whereas cell senescence, TGFb (transforming growth factor beta), NF-kB (nuclear factor jB) and MAPK (mitogenactivated protein kinase) signalling were mainly regulated by microRNAs upregulated in muscle during ageing (Fig. 1). Further pathway analysis using Ingenuity was performed to determine which miRNAs and their target genes form networks of connections. We observed that there were several genes and microRNAs forming nodes in the interaction network that comprised differentially expressed mRNAs and microRNAs and their predicted target genes (Fig. S2). Genes associated with ubiquitin-mediated proteolysis, cell cycle, NF-kB and insulin signalling, as well as miRs miR-132, miR-122, miR-499, miR-128 and miR-22 formed central nodes in the network of miRNA:target interactions disrupted during ageing (Fig. S2).
Overall, these data indicate that several miRNA:target interactions are deregulated in skeletal muscle during ageing. These changes are likely to contribute to ageing-related pathophysiological processes, such as loss of muscle mass and function through regulation of ubiquitin-mediated proteolysis, ER stress and NFjb signalling, senescence associated with disrupted cell cycle or myofibre hypertrophy associated with insulin signalling.
A set of microRNAs is deregulated during ageing in muscle of human and mice Publically available datasets were examined for differential expression of microRNAs in human skeletal muscle during ageing (Drummond et al. 2011b;Rivas et al. 2014a) in order to establish whether a specific set of miRNAs was affected by ageing in both mouse and human skeletal muscle. Only 7 microRNAs were consistently deregulated during ageing in human and mouse skeletal muscle (Table 1; miRs highlighted in red). Ingenuity pathways analysis indicated that differential expression of these 7 microRNAs and consequently their target genes may result in defective insulin, MAPK and TGFb  Fig. 1 Disrupted microRNA:target interaction networks in skeletal muscle of mice during ageing. The network of interactions was constructed using IPA software. The inputs were microRNAs and their predicted targets and mRNAs differentially expressed in muscle during ageing. In red miRs/genes that were downregulated with age are shown; in green miRs/genes that were upregulated with age are shown. a. Networks of interactions associated with miRs downregulated in muscle during ageing. b. Networks of interactions associated with miRs upregulated in muscle during ageing signalling, with microRNA-181a being central to controlling these interactions. Interestingly, miR-181a is predicted to target several hundred genes (Figs. 2, S3), including genes associated with p38, NF-kB and TGFb signalling, as well as genes previously reported to play an important role in skeletal muscle, such as Sirt1, Pten and Nfatc1 (Figs. 2, S3). qPCR was used to validate the differential expression of the 7 microRNAs in the skeletal muscle of mice during ageing. The differential expression of miR-181a, miR-133a, miR-26a, miR-499, miR-34b and miR-30c was validated in muscle during ageing (Fig. 3a, b). Since miR-181a, but not miR-181d, expression was significantly affected by ageing and it was predicted to have a central role in the microRNA:mRNA interactions affected by ageing, we analysed the expression of several miR-181a predicted target genes associated with muscle function by qPCR and western blot (Fig. 3c, d). We were unable to detect significant changes in the expression of Pten and Meox2 at the mRNA and/or protein level (Fig. 3c, d). Among the analysed miR-181a predicted target genes, SIRT1 protein levels were significantly affected by ageing (Fig. 3d, e). miR-181a and SIRT1 protein expression were inversely correlated in muscle during ageing suggesting that Sirt1 may be one of the key miR-181a targets in skeletal muscle during ageing.

miR-181a directly regulates the expression of Sirt1
The 3 0 UTR of Sirt1 has one putative miR-181 binding site conserved between human and mouse (Fig. 4a).
To establish whether miR-181 directly interacts with the Sirt1 3 0 UTR, we generated a reporter construct containing a fragment of the Sirt1 3 0 UTR downstream of a GFP reporter (''wild type''). ''Mutant'' reporter contained a mutated miR-181 binding site. The GFP reporter containing wild type Sirt1 3 0 UTR was efficiently regulated by miR-181 but not by miR-24; a microRNA not predicted to target Sirt1 (negative control) (Fig. 4b, c). Mutation of the putative target site in the 3 0 UTR rendered the reporter construct insensitive to miR-181, indicating that interaction with the target site is required for the response (Fig. 4b, c).
To validate Sirt1 as a physiologically relevant miR-181 target gene in muscle, the expression of Sirt1 transcript and protein was examined in C2C12 myotubes following miR-181 overexpression or inhibition using miRNA mimic or antimiR (AM181), respectively (Fig. 4c, d). The efficiency of the transfections was validated (Fig. S4). The expression of SIRT1 protein, but not mRNA in C2C12 myotubes was downregulated following overexpression of miR-181 and upregulated following inhibition of miR-181 function (Fig. 4d-f). These data show that miR-181a directly regulated SIRT1 expression at the protein level.
Changes in miR-181a:Sirt1 affect myotube size To establish whether age-related changes in miR-181a expression may have functional consequences on muscle homeostasis, C2C12 myotubes were used as an in vitro model to study myotube hypertrophy and/or atrophy. C2C12 myotubes were transfected with Fig. 2 Disrupted microRNA:target interaction network in skeletal muscle of humans and mice during ageing. The network of interactions was constructed using IPA software. The input was microRNAs and their experimentally validated targets miR-181 mimic or inhibitor (AM) or SIRT1 overexpression construct. At 4 days following transfection myotubes were stained for myosin heavy chain (MF20) and myotube diameter measured. miR-181a overexpression led to a significant decrease in myotube diameter, whereas miR-181a inhibition led to an increase in myotube diameter as compared to mock-and scrambled-transfected controls (Fig. 5). SIRT1 overexpression resulted in an increased myotube diameter as compared to mock-and scrambled-transfected controls (Fig. 5). Co-transfection of SIRT1 overexpression construct together with miR-181 mimic rescued the miR-181-induced phenotype, indicating the importance of Sirt1 as miR-181 target gene in controlling myotube size (Fig. 5).
The effect of changes in miR-181 and SIRT1 expression on the expression of p21, a cell cycle regulator associated with senescence and upregulated in muscle of older mice, was examined (Table 2; Fig. S5). We did not detect significant changes in p21 mRNA expression following manipulation of miR-181a levels, however p21 expression was downregulated following SIRT1 upregulation in C2C12 myotubes indicating that SIRT1 may play additional, miR-181-independent function in muscle, such as regulating cell senescence (Fig. S5). These data suggest that changes in miR-181a and expression of its target gene Sirt1 in skeletal muscle during ageing may indeed have functional consequences on muscle homeostasis, specifically myofibre hypertrophy and/or atrophy.

Discussion
The molecular mechanisms involved in sarcopenia development are not fully understood, however it is clear that transcriptomic, proteomic and epigenetic changes are involved. miRNAs can simultaneously modulate many signalling pathways and are therefore likely to be high-throughput regulators of pathophysiological changes associated with sarcopenia.
We have identified and validated miRNAs and mRNAs differentially expressed in skeletal muscle during ageing. In mouse muscle (TA), 30 miRNAs were differentially expressed during ageing (Table 1). Of these, 7 miRNAs were differentially expressed during ageing in the skeletal muscle of mice and humans based on data presented here and deposited in publically available databases (Drummond et al. 2011b;Rivas et al. 2014a). 5 microRNAs with a role in muscle biology: miR-26a (Dey et al. 2012), miR-499 (van Rooij et al. 2009a, miR34b (Roberts et al. 2012), miR-30c (Ketley et al. 2013) and miR-181a (Naguibneva et al. 2006) were validated as differentially expressed during ageing in the skeletal muscle of mice (Fig. 3a). The differential expression of the miRNAs during ageing was validated in whole muscle rather than myofibres and therefore it is possible that age-related changes in muscle quality, such as adipocyte or immune cell infiltration, may be associated with changes in microRNA expression. Nevertheless, these data suggest that deregulation of microRNA expression during ageing may have functional consequences related to disrupted muscle homeostasis.
Previous studies have investigated changes in the expression of miRNAs in muscle during ageing (Drummond et al. 2011b;Hu et al. 2014b;Kim et al. 2014b), however it is noteworthy, that the overlap in a Alignment of putative miR-181a target site in the 3 0 UTR of Sirt1 gene; human and mouse sequence are indicated; conserved miR-181a putative target site is indicated in red; complementary nucleotides are shown in orange, miR-181a seed sequence is shown in blue. b GFP-Sirt1 3 0 UTR sensor constructs containing conserved mouse wild type or mutated miR-181a target site were transfected into mouse myoblasts. Co-transfection with miR-181a mimic but not miR-24 mimic, led to downregulation of GFP protein expression compared to mock-transfected control (Ctrl), as shown by representative western blot. Point mutations in the microRNA target site (mutant) rendered the sensor construct unresponsive. c Quantification of western blots is shown. d, e Endogenous SIRT1 protein but not mRNA expression is regulated by miR-181 in C2C12 myotubes, as shown by representative Western blot or qPCR, respectively. f Quantification of Western blots is shown. Error bars show SEM; *p \ 0.05 (compared with control or scrambled control as indicated); n = 3 deregulated miRNA expression in muscle of old animals between different studies is limited. This may be due to the use of different transcriptomic platforms or differential ageing processes in anatomically distinct muscle types. Standardising research methods used to globally profile changes in miRNA expression in different types of muscle and organisms would be an important step forward towards a better understanding of the role of microRNAs in the decline of muscle mass and function during ageing.
Using miRSystem and Ingenuity pathways, we modelled microRNA:target interactions affected by ageing. Our data indicates that deregulated miRNA:target interactions may be responsible for ageingrelated pathophysiological processes in skeletal muscle through regulation of ubiquitin-mediated proteolysis, ER stress and NFjB signalling, senescence and splicing factor expression, previously reported to be affected by ageing (Carvalho et al. 1996;Brack et al. 2007;Deldicque 2013;Holly et al. 2013;Drummond et al. 2014). Interestingly, Ubc, Ucp3 and IGF signalling pathways were also predicted to be a part of the disrupted microRNA:target interactions during ageing (Fig. S2). As the anabolic action of insulin is reduced in muscle during ageing, and as muscle absorbs large amounts of circulating glucose, changes in IGF signalling in muscle during ageing could affect the levels of circulating glucose and therefore glucose present in other tissues, therefore affecting metabolism (Rasmussen et al. 2006).
Further analysis of the interactome of miRNAs differentially expressed during ageing in mouse and human muscle revealed that insulin, MAPK and TGFb signalling, as well as ER stress, are likely to be regulated by these microRNAs; with miR-181a potentially playing a key role in age-associated changes in gene expression and signalling pathways in muscle. The analysis of miR-181a predicted targets supports this hypothesis, as miR-181a predicted target genes include genes/pathways with known role(s) in maintaining muscle homeostasis, for example Sirt1, Pten, and p38, Tgfb, Tnfa, NF-kB and insulin signalling pathways (Fig. S3). miR-181a has been previously shown to regulate muscle regeneration (Naguibneva  . 2006) and downregulation of its expression may be also related to deterioration of satellite cell function and impaired regeneration of muscle during ageing. miRNAs provide a potent and highly responsive mechanism enabling cells to react to changes in their environment by controlling cellular protein content through regulating the expression of multiple target genes. It is therefore important to characterise miRNA target gene(s) when establishing miRNA function. We have validated differential expression of miR-181a and mRNA and analysed protein expression of miR-181a predicted targets genes: Sirt1, Pten, Meox2, in the mouse TA muscle during ageing (Fig. 3). Sirt1 is a member of the sirtuin family, a NAD? -dependent protein deacetylase known for its protective anti-ageing effects and also shown to promote muscle hypertrophy (Lee and Goldberg 2013;Sin et al. 2015). Meox2 controls muscle size and myofibre metabolism (Otto et al. 2010), whilst Pten inhibition improves muscle regeneration (Hu et al. 2010). Among miR-181a predicted targets, SIRT1 protein levels were significantly changed in muscle during ageing (Fig. 3). We have validated Sirt1 as a physiologically relevant direct miR-181a target in C2C12 myotubes (Fig. 4) and showed that miR-181 regulates myotube size through Sirt1, and potentially other target genes (Fig. 5). Since the expression of miR-181a is downregulated and Sirt1 expression is upregulated in muscle during ageing, and miR-181 negatively regulates myotube size, we suggest that age-related changes in miR-181a and its target gene(s) expression may act as a failing compensatory mechanism intended to preventing loss of muscle mass and potentially function. Previous data has shown that such compensatory mechanisms exist. For example, elevated levels of miR-206 in muscle of the amyotrophic lateral sclerosis (ALS) mouse model have been shown to compensate for the decreased neuromuscular interactions (Williams et al. 2009). Future experiments using in vivo model organism(s) will determine whether age-related changes in miR-181a expression may indeed act as a compensatory mechanism to maintain muscle mass and potentially function during ageing. It is noteworthy that Hu et al. (2014a, b) have shown that deregulation of miR-29 expression in muscle during ageing is associated with increased muscle senescence and therefore it is likely that changes in microRNA expression during ageing might act as compensatory or causative events, depending on the specific microRNA. miRNAs present a potential to regulate a variety of pathophysiological conditions, such as sarcopenia. The ability to manipulate miRNA expression may offer therapeutic potential for ameliorating sarcopenia by modulating the rate of loss of muscle mass and function with age. However, it is necessary to establish the nature of changes in miRNA expression during ageing, as well as the factors triggering these changes. Furthermore, functional studies are needed to establish whether miRNAs initiate ageing-related changes in muscle homeostasis or fine-tune an already initiated process, and whether some microRNAs act in a compensatory manner to maintain muscle homeostasis in older individuals.