Literature DB >> 29504575

The "dark matter" of DNA and the regulation of bone metabolism: The role of non-coding RNAs.

Maria P Yavropoulou1, John G Yovos.   

Abstract

Epigenetics, present a new discipline that attempts to explain significant differences in phenotypes among patients with the same disease. In contrast to the other epigenetic mechanisms that modulate gene transcription, non-coding RNAs act at the post-transcriptional level. They directly modulate the gene expression of mRNA genes leading to mRNA target cleavage and degradation and translation repression. Bioinformatic predictions indicate that non coding RNAs may be involved in the regulation of 60% of the coding genes and each non-coding RNA can have multiple target genes, and each gene may be regulated by more than one non-coding RNAs. In the last decade several studies have shown a significant role of non-coding RNAs in the regulation of bone metabolism and function of bone cells opening a new era in the understanding of bone biology in health and disease.

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Year:  2018        PMID: 29504575      PMCID: PMC5881125     

Source DB:  PubMed          Journal:  J Musculoskelet Neuronal Interact        ISSN: 1108-7161            Impact factor:   2.041


1. Introduction

Osteoporosis is a complex multifactorial disease characterized by low bone mass and impaired bone microarchitecture leading to increased fragility. Genetic susceptibility is an important factor, determining predisposition to fragility fractures. However, increased variability between phenotypes and large, sometimes unexplained, differences in response to treatment among individuals with similar severity of bone disease, based on low bone mass and the presence of fragility factures, created the need for identifying the link between individual genetic aspects and environmental influences. In the last decade a large amount of data have focused on the epigenetic factors that are strongly suspected to be involved in bone biology and bone diseases[1,2]. Epigenetic mechanisms refer to pathways that influence gene expression in postnatal life without altering the DNA sequence. These mechanisms include DNA methylation posttranslational modifications of histones, and post-transcriptional regulation by non-coding RNAs. Alterations in epigenetic mechanisms have been associated with aging and estrogen- deficiency-induced bone loss[3,4]. The progressive understanding of the roles epigenetic mechanisms play in normal bone metabolism and in multifactorial bone disorders is critical for the comprehensive knowledge of bone biology in health and disease. In this review we outline current literature on the role of non-coding RNAs-the so called ‘dark matter of DNA’ in bone remodeling and function of bone cells.

2.1 MicroRNAs

MicroRNAs (miRs) are small – approximately 21 nucleotides long – non-coding RNA molecules derived from intergenic or intronic genomic regions. Mature miRs are formed from premature larger forms of precursor microRNAs after cleavage with a double-stranded RNA endoribonuclease (Dicer). Mature forms are then incorporated into the miR induced silencing complex (miRISC)[5] in order to facilitate binding to the target messenger RNA (mRNA), usually within its 3′ untranslated regions (UTR)[6].

2.2 Molecular Mechanisms

Binding of miRISC to the specific UTR of mRNA molecules with complementary sites results in post-transcriptional gene repression through inhibition of translation or mRNA destabilization[7] (Figure 1). Absolute match between miR and the target-mRNA results in absolute degradation of the targeted transcript. In most cases, however, the mRNA-miR complementarity is not perfect, and results in translational repression without cleavage of the target mRNA. Generally, miRs are negative regulators of gene expression, although in some cases they may activate translation of target mRNAs[8].
Figure 1

The circle of microRNA and mRNA interaction.

The circle of microRNA and mRNA interaction. Interestingly a single miR can bind up to a hundred or more distinct mRNAs and 3’ UTR regions of most mRNAs contain binding sites for multiple miRs[9]. The complexity of this interaction allows the regulation of complex gene expression networks, following the paradigm of transcriptional factors[10]. Despite the appeared redundancy in miR-mRNA interactions, expression-alterations in single miR can alter significantly the cell phenotype. A large amount of data of the last decade concerns the role of specific miR molecular signatures in various cancers leading the way for their potential use in the diagnostic and therapeutic field[1,11,12]. Increasing evidence has shown a similar role for miR in the regulation of osteogenesis and in metabolic bone diseases. microRNAs affect the expression of specific genes during A) osteoblastogenesis and B) Osteoclastogenesis. MiR-3077-5p and miR-214 suppress osteogenic differentiation by directly inhibiting their respective target-genes. Conversely miR-705, miR 3075, miR-2861 and miR-21 directly target negative regulators of osteoblastogenesis resulting in enhanced osteoblast differentiation. The increased expression of miR-705 and miR-3077-5p and decreased levels of miR-21 are linked to high levels of TNFα and ROS, associated with estrogen deficiency. miR-21 suppresses Sprouty (SPRY) family of genes that antagonize the FGF signal transduction pathway in osteoblasts. Similarly, miR-503 inhibits osteoclastogenesis by directly targeting RANK gene while miR-148a and miR-133a promote osteoclastogenesis by directly targeting negative regulators of osteoclast differentiation. (.

2.3 MicroRNAs and bone remodeling (Figure 2)

a) Micro-RNAs and osteoblast functions

Several studies have demonstrated significant effects of miRs in the regulation of genes that play a key role in osteoblast differentiation and function such as Runx-2, Osterix (Osx), bone morphogenetic proteins (BMPs) and components of the Wnt intracellular signaling pathway. The Runx-2 transcription factor, which is considered the key master of osteogenesis, is both a direct and indirect target of several miRs that control its expression[13-22]. MiRs that bind directly to the Runx-2 complimentary sequence (namely miR-23a, miR-30a–d, miR-34c, miR-133a, miR-135a, miR-137, miR-204, miR-205, miR-211, miR-217, miR-335, miR-338, miR-433 and miR-3077-5p) negatively regulate the gene expression, while miR-2861 and miR-3960 that target the expression of Runx-2 suppressors, such as Histone deacetylase (HDAC) and Homeobox A2 (HOXA) genes respectively, stimulate the expression Runx-2 and thus enhance osteoblast differentiation[22,23]. In vivo the absence of miR-2861 in mice results in reduced BMD, bone formation, osteoblast number and Runx-2 protein levels while the protein expression of HDAC5 is increased and bone resorption and osteoclast activity, remain unaffected[23]. In line with in vitro and in vivo data in humans a homozygous mutation in pre-miR-2861 that blocks expression of miR-2861 was associated with primary osteoporosis in 2 related adolescents[23]. Downstream of Runx-2, another key regulator of osteoblastogenesis the zinc finger transcription factor Osterix (Osx), is also regulated by microRNAs. Osx promoter carries a Runx-2 responsive DNA element and Runx2 specifically transactivates Osx expression. It has been shown that miR-93 inhibits osteoblast mineralization by directly targeting and suppressing Osx expression[24]. Along with Runx-2 and Osterix, another osteoblast specific transcription factor, activating transcription factor 4 (ATF4), which is responsible for promoting osteocalcin expression, amino acid uptake and type I collagen synthesis, has been identified as a direct target of miR-214. High levels of miR-214 in bone tissue are associated with reduced bone formation with suppressed osteoblast activity and matrix mineralization in both human subjects and mouse models. Moreover, the osteoblast-specific inhibition of miR-214 significantly improves bone formation and bone mass in OVX- and hind limb-unloading induced osteoporosis in mice, leaving again bone resorption unaffected[25]. In earlier stages of osteoblast development miR-199a and miR-346, enhance commitment of mesenchymal stem cells (MSCs) in the osteoblast lineage by decreasing the expression of leukemia inhibitory factor (LIF) by MSCs[15]. These results demonstrate that differentiation of early stages of the osteoblast lineage is also regulated by miRs. On the other hand, several studies have shown a complex regulatory feedback loop between genes related to osteogenesis and expression regulation of specific miRs. The miR-cluster 23a-27a-24-2 is negatively regulated by Runx-2 through a functional Runx-2 binding element. Interestingly, each of these miRs directly target the 3′ UTR of the gene that encodes a special AT-rich sequence binding protein -2 (SATB2), which act as a synergic co-factor with Runx2 in the nucleus to increase bone formation[19]. In addition Runx-2 binds to the promoter of the miR-3960/miR-2861 cluster and induces its expression controlling osteoblastogenesis through a positive regulatory feedback loop[22]. A regulatory feedback loop was also demonstrated for BMP-2. BMP-2 induces the expression of miRs that target muscle genes and down-regulates multiple microRNAs with osteogenic potential, pointing to the role of BMPs as selective inducers of tissue-specific phenotypes[14]. Wnt canonical intracellular signaling pathway is highly conserved in humans. Upon activation, the cytoplasmic protein β-catenin is translocated in the nucleus and forms dimers with the T-cell factor/lymphoid enhancer factor (TCF/LEF) group of transcription factors activating the transcription of target genes[26]. In bone tissue Wnt signaling has a critical role in both, skeletal development though actions in chondrocytes, and in bone remodeling throughout adult life. Studies of knockout and transgenic mice for Wnt pathway components have demonstrated that canonical signaling regulates most aspects of osteoblast physiology including commitment, differentiation, bone matrix formation/mineralization and apoptosis as well as coupling to osteoclastogenesis and bone resorption[26]. Several extracellular proteins act as agonists or antagonists to the Wnt membrane receptor complexes consisting of frizzled (Fz) G-protein-coupled receptors and the co–receptors low-density lipoprotein receptor-related protein 5 and 6 (LRP5/6) activating or suppressing Wnt signaling activity, respectively. Specific microRNAs, namely miR-29a, miR-218 and miR-335-5p have been demonstrated to directly target known Wnt antagonists such as Dickkopf-related protein 1 and 2 (DKK1 and DKK2), secreted Fz related protein-2 (SFRP2) and sclerostin (SOST) and enhance the Wnth/β-catenin signaling pathway and as a consequence osteoblast differentiation[27-29]. Apart from targeting the Wnt antagonists, activation of the Wnt/β-catenin signaling pathway by microRNAs is also mediated by suppressing the expression of adenomatosis polyposis coli (APC), an integral part of the β-catenin destruction complex in the cytoplasm[30], or catenin beta interacting protein 1 (CTNNBIP1), an inhibitor of β-catenin-mediated transcription[31]. Specifically miR-27 and miR-142-3p were shown to target directly APC gene in the mesenchymal precursor cell line, hFOB1.19[30], whereas, miR-29b directly down-regulates known inhibitors of osteoblast differentiation, such as CTNNBIP1, HDAC4, and tumor growth factor beta 3 (TGFβ3), proteins[31].

b) Micro-RNAs and osteoclast functions

Regulation of osteoclast differentiation is also targeted by microRNAs, although less extensively searched, compared to osteoblastogenesis. Among the key regulators of osteoclastogenesis, the receptor activator of nuclear factor-κB ligand/osteoprotegerin (RANKL/OPG) system, the transcription factors microphthalmia-associated transcription factor (MITF), C-Fos and PU.1 and the pro-apoptotic factors programmed cell death protein 4 (PDCD4) and FAS ligand (FasL)[32] have been identified as direct targets of specific miRs. The receptor of RANKL, RANK is identified as a direct target of miR-503[33]. Expression of miR-503 was decreased in circulating osteoclast progenitors (CD14 (+) peripheral blood mononuclear cells, PBMCs) from postmenopausal osteoporotic women compared with women without osteoporosis. Experiments with overexpression and silencing of miR-503 in CD14(+) PBMCs inhibited or enhanced, respectively RANKL-induced osteoclastogenesis. The results were confirmed in vivo with ovariectomy (OVX) mice models[33]. Silencing of miR-503 increased RANK protein expression, and decreased bone mass, whereas overexpression of miR-503 prevented bone loss in OVX mice. In line with preclinical data we demonstrated a significantly decreased expression of miR-503 and increased relative expression of RANK in the serum of osteoporotic women who sustained multiple vertebral fractures after discontinuation of denosumab, compared with osteoporotic women who did not experienced fractures after denosumab[34]. MiR-21 is also identified as a critical post-transcriptional regulator of osteoclastogenesis by both in vitro and in vivo studies. In vitro miR-21 regulated the expression of RANKL and its decoy receptor OPG in bone marrow mesenchymal stem cells from multiple myeloma[35], while PDCD4[36,37] and FasL[38] are also reported as a functional targets of miR-21 promoting osteoclastogenesis by suppressing osteoclasts-apoptosis. In vitro data were confirmed in miR-21 knockout mice[39]. In these mice which develop a normal skeletal phenotype, a postnatal miR-21 deficiency promoted trabecular bone mass accrual and prevented bone loss induced by OVX and aging due to decreased bone resorption and osteoclast function[39]. MiR-223 was shown to regulate osteoclastogenesis, both positively and negatively dependent on its expression levels[40,41]. The underlying molecular mechanism includes the suppression of the target-gene nuclear factor 1-A (NFI-A), an indirect inhibitor of the receptor of macrophage colony-stimulating factor (MCSF-R), which is one of the earliest pro-osteoclastogenic cytokines, thus stimulating osteoclast differentiation and the expression of other osteoclastogenic transcription factors such as MITF, c-Fos, and PU.1[40,41]. On the contrary, MITF is also a direct target for miR-155, that blocks activation of the osteoclast transcriptional program and thus osteoclastogenesis[42]. Studies with circulating CD14+ PBMCs have also reported a role for miR-148a[43] and for miR-133a[44] in osteoclastogenesis. ΜiR-148a promotes osteoclastogenesis in CD14+ PBMCs through suppression of V-maf musculoaponeurotic fibrosarcoma oncogene homolog B (MAFB), a transcription factor that negatively regulates RANKL-induced osteoclastogenesis. Silencing of miR-148a in mice resulted in increased bone mass through inhibition of bone resorption both in mice with OVX and in sham-operated controls. MiR-133a on the other hand was upregulated in circulating monocytes of postmenopausal women with low bone mass compared with age-matched women with high bone mass[44]. The bioinformatic target gene analysis in this study identified three potential osteoclast-related target genes, chemokine (C-X-C motif) ligand 11 and receptor 3 (CXCL11, CXCR3) and solute carrier family (zinc transporter), member 1 (SLC39A1)[44]. The majority of in vitro studies that investigated the role of miRs in bone metabolism were performed in mesenchymal and osteoblastic or osteoclastic cell lines of various stages of commitment predominantly of mouse origin, and less of human origin from bone marrow or CD14 PBMCs circulating osteoclasts. There are still no data available in osteocytes, although in one study miR-23a was reported to suppress Runx-2 in the terminally differentiated osteocyte, creating a feedback mechanism to attenuate osteoblast maturation[19]. The variability of the technical procedures, such as differentiation media used, RNA isolation methods and miR screening procedures, probably accounts for the increased number of different miRs that have been identified so far in bone cell cultures.

2.4 Circulating MicroRNAs in osteoporosis and fragility fractures

Based on in vitro and in vivo data demonstrating a role of specific miRs in bone remodeling several studies have investigated the association of circulating and tissue –expressed miRs with osteoporosis and fragility fractures in humans (Table 1).
Table 1

Circulating microRNAs that have been identified in the serum, plasma or circulating monocytes of patients with bone disease.

StudyStudy PopulationMicroRNAs Identified
Wang et al.[44]Postmenopausal women with low BMD compared with postmenopausal women with high BMDUpregulated: miR 133
Seeliger et al.[45]Patients with osteoporotic fractures compared with patients with non-osteoporotic fracturesUpregulated:miRNA-21, miRNA-23a, miRNA-24, miRNA-93, miRNA-100, miRNA-122a, miRNA-124a, miRNA-125b, miRNA- 148a
Weilner et al.[46]Postmenopausal osteoporotic women with recent osteoporotic fractures compared with age-matched women without osteoporotic fracturesUpregulated:miRNA-10a-5p, miRNA- 10b-5p, and miRNA-22-3p Downregulated:miRNA-133b, miRNA-328-3p, and let-7g-5p
Panach et al.[47]Women with osteoporotic hip fracture compared with women with osteoarthritisUpregulated:miRNA-21-5p, miRNA-122-5p, and miRNA-125-5b
Li et al.[48]Postmenopausal women with osteoporosis and osteopenia compared with postmenopausal women with normal bone massUpregulated:miRNA-133a Downregulated:miRNA-21
You et al.[49]Postmenopausal osteoporotic women compared with healthy premenopausal womenDownregulated:miRNA-27a
Heilmeier et al.[50]Type 2 diabetic women with and without fractures and non-diabetic women with and without fracturesUpregulated:miRNA-96- 5p, miRNA-181-5p, and miRNA-550a-5p, (diabetic patients) Downregulated: • miRNA-382-3p (diabetic and non-diabetic fractured patients) • miRNA-188-3p and miRNA-942 (osteoporotic patients)
Kocijan et al.[51]Male and female patients with idiopathic or postmenopausal osteoporotic fractures compare with age- and gender- matched controlsUpregulated:miRNA-152-3p, miRNA-335- 5p, and miRNA-320a Downregulated:let-7b-5p, miRNA-7-5p, miRNA-16-5p, miRNA-19a-3p, miRNA-19b-3p, miRNA- 29b-3p, miRNA-30e-5p, miRNA-93-5p, miRNA-140-5p, miRNA-215-5p, miRNA-186-5p, miRNA-324-3p, miRNA- 365a-3p, miRNA-378a-5p, miRNA-532-5p, and miRNA- 550a-3p
Yavropoulou et al.[52]Postmenopausal osteoporotic women with and without fragility fracturesDownregulated:miR-21, miR-23a, and miR-29a
Anastasilakis et al.[53]Postmenopausal women with osteoporosis treated with either denosumab or teriparatideDownregulated: • miR-33 at 3 months of treatment with teriparatide compared with baseline values, • miR-133 at 12 months of treatment with teriparatide compared with baseline values
Circulating microRNAs that have been identified in the serum, plasma or circulating monocytes of patients with bone disease. In an interesting study by Seeliger et al., the serum miR profile was associated with the miR-expression in bone-tissue samples from patients with osteoporotic fractures[45] compared with patients with non-osteoporotic fractures. In particular, nine miRs (miR-21, miR-23a, miR-24, miR-93, miR-100, miR-122a, miR-124a, miR-125b, and miR- 148a) were found significantly upregulated in the serum of patients with osteoporotic fractures and five of them were also upregulated in the bone tissue of these patients (miR-21, miR-23a, miR-24, miR-100, and miR-125b). MiR expression profile in the serum or plasma has been studied in different cohort studies with osteoporotic patients demonstrating inconsistent results. In one study which was performed in seven postmenopausal osteoporotic women suffering from recent osteoporotic fractures and seven controls (age-matched postmenopausal women without osteoporotic fractures), screening of 175 miRs led to the identification of 6 differentially expressed miRs, (namely miR-10a-5p, miR- 10b-5p, and miR-22-3p that were upregulated, and miR-133b, miR-328-3p, and let-7g-5p that were downregulated)[46]. Differential expression of miR-22-3p, miR-328-3p, and let-7g-5p were further validated in a larger sample (n=23). The second study compared women with osteoporotic hip fracture with women with osteoarthritis that had undergone surgery for hip implantation prosthesis[47]. In this study the researchers identified a different panel of miRs (miR-21-5p, miR-122-5p, and miR-125-5b) as biomarkers for osteoporotic fractures, that, however, were in line with the results previously reported by Seeliger et al[45]. In the third study researchers investigated the expression of three candidate miRs (miR-21, miR-133a, and miR-146a) in plasma samples from 120 Chinese postmenopausal women that were classified according to their BMD values in total hip, as osteoporotic, osteopenic or with normal bone mass[48]. ΜiR-133a was upregulated in circulating monocytes of osteoporotic and osteopenic women compared with the normal group, consistent with the results reported by Wang et al[44]. ΜiR-21 on the other hand was down-regulated in the group with osteoporosis and osteopenia compared with normal BMD values in contrast to what has been described in the Spanish cohort[47]. Serum miR-27a was also identified as being significantly downregulated in a cohort of 81 postmenopausal osteoporotic women compared with 74 healthy premenopausal women[49]. In 2 more recent studies serum miR signature was investigated in diabetic postmenopausal women with osteoporotic fractures[50] and in premenopausal women or men with idiopathic osteoporosis and fragility fractures[51]. The 375 miRs that were tested in the first study[50] demonstrated differential expression of miRs in type 2 diabetic women with and without fractures (48 microRNAs) as well as in nondiabetic women with and without fractures (23 microRNAs). Specifically, miR-382-3p, which was downregulated, was common between diabetic and nondiabetic fractured patients, miR-96- 5p, miR-181-5p, and miR-550a-5p, all upregulated, were specific among the diabetic patients and miR-188-3p and miR-942, both downregulated were specific among the osteoporotic patients. In the second study circulating miR signatures were investigated in male and female subjects with idiopathic or postmenopausal osteoporotic fractures[51]. Several miRs were differentially expressed (miR-152-3p, miR-335- 5p, and miR-320a were upregulated, and let-7b-5p, miR-7-5p, miR-16-5p, miR-19a-3p, miR-19b-3p, miR- 29b-3p, miR-30e-5p, miR-93-5p, miR-140-5p, miR-215-5p, miR-186-5p, miR-324-3p, miR- 365a-3p, miR-378a-5p, miR-532-5p, and miR- 550a-3p, were down-regulated) in fracture groups of men, premenopausal and postmenopausal women compared with their age- and gender- matched controls. Among these, eight (miR- 152-3p, miR-335-5p, miR-19a-3p, miR-19b-3p, miR-30e-5p, miR-140-5p, miR-324-3p, and miR-550a-3p) were reported to be of value in predicting fractures regardless of age and gender, with a higher predictive power than BMD or bone turnover markers. Although not all of the reported miRs had been yet related with bone remodeling, the results from this study provided evidence for the potential use of microRNA signatures as diagnostic tools of osteoporosis. We have investigated the differential expression of specific miRs that were reported to correlate with bone metabolism both in serum and tissue samples and were linked with biological targets of miRs in humans in 48 postmenopausal osteoporotic women with and without fragility fractures compared with age-matched controls. In postmenopausal women with osteoporosis miR-124 and miR -2861 were significantly upregulated, and miR -21, miR -23a, miR -29a, miR -29b and miR -29c were downregulated compared with their age-matched controls. In the sub-group analysis of the osteoporotic women, miR -21, miR -23a, and miR -29a were significantly lower in those with at least one prevalent vertebral fracture compared with osteoporotic women without fractures[52]. In a more recent study, we searched for changes in the serum profile of miRs in postmenopausal osteoporotic women treated with either denosumab or teriparatide[53]. We have found that administration of teriparatide affects the relative expression of miRs related to the expression of the genes encoding the transcription factor Runx-2 (miR -33) and the antagonist of Wnt signaling Dkk-1 (miR -133). In particular miR -33-3p was significantly decreased at 3 months and miR -133a at 12 months of teriparatide treatment. Interestingly, we also found that changes of bone turnover markers (BTM) during treatment with denosumab and teriparatide were significantly correlated with changes in the serum expression of different miRs probably reflecting the different mechanism of action of the two anti-osteoporotic agents. Specifically the relative expression of miR -24-3p and miR -27a was correlated with changes in BTM during teriparatide treatment and the relative expression of miR -21-5p, miR -23a-3p, miR -26a-5p, miR -27a, miR -222-5p and miR -335-5p with changes in BTM during treatment with denosumab[53]. Analysis of genome-wide association data, pointing on miR target sites and pre-miR coding sequences could also be of value in the quest for the pathogenetic mechanism of osteoporosis and other bone-related diseases. In a DNA-based study three polymorphisms in miR target sites in the 3′-UTR of the fibroblast growth factor 2 (FGF2) gene were found to be significantly associated with BMD of the femoral neck. The identified single nucleotide polymorphisms reside within predicted binding sites for nine miRs (miR -146a, miR -146b, miR -545, miR -25, miR -32, miR -92, miR -363, miR -367 and miR -92b) and possibly alter the binding affinity between FGF2 transcripts and miRs, resulting in higher levels of target-protein expression. Increased levels of FGF2, would stimulate osteoclast-induced bone resorption and thus increase bone loss[54].

3.1 Long non coding RNAs (lncRNAs)

Long ncRNAs (lncRNAs) have been defined as non-protein-coding nucleotide transcripts that are >200 nucleotides in length, allowing biochemical fractionation to exclude all known classes of small RNAs[55]. Depending on the anatomical properties of their gene loci, lncRNAs can be classified as: (1) sense or antisense: lncRNAs that are located on the same or the opposite strand of the nearest protein-coding genes; (2) divergent or convergent: lncRNAs that are transcribed in the divergent or convergent orientation compared to that of the nearest protein-coding genes; (3) intronic or intergenic: lncRNAs that locate inside the introns of a protein-coding gene, or in the interval regions between two protein-coding genes. There is no evidence, however, of any intrinsic difference directing their mechanism of action. The large number of these RNAs and, in many of them, the low evolutionary conservation and the low levels of expression, created a controversy about their true functionality[56,57]. Nonetheless, the continuing research provided considerable evidence that lack of primary sequence conservation in lncRNAs does not indicate lack of function[58,59], and many lncRNAs show evidence of structural conservation[60,61]. The loci that express lncRNAs show conservation of promoters[62], chromatin structure[63], and regulation by conventional transcription factors[64]. Furthermore, the lncRNAs were found to have a range of cellular half-lives as mRNAs[65] and they are differentially expressed in a tissue-specific manner[66,67]. Many lncRNAs are alternatively spliced, have isoforms that encode small proteins[68] and have intrinsic functions as trans-acting regulatory RNAs[69-71]. Furthermore, 3’UTRs can be separately expressed and convey genetic functions in trans[71], and may be further processed to produce subsidiary species[72]. lncRNAs are expressed in stem cells[73], muscles[74], T cells[75], mammary gland[76], and neurons[77], as well as in malignant neoplasms and other diseases[76,78-80]. This expression it seems to be partly controlled by conventional transcription factors[64,81]. The use of a bioinformatic method termed “Guilt by Association” allowed a general understanding of lncRNAs and protein coding genes that are tightly co-expressed and thus presumably co-regulated[82]. This method localizes protein coding genes and pathways significantly correlated with a given lncRNA using gene-expression analyses. This study revealed clusters of lncRNAs based on the pathways with which they associate. This approach has predicted diverse roles for lncRNAs, such as stem cell pluripotency, adipogenesis, osteogenesis and cancer.

3.2 Molecular Mechanisms of lncRNAs

lncRNAs participate in epigenetic regulations through recruitment of chromatin remodeling complexes to specific genomic loci[83,84]. Furthermore, they can regulate gene expression by interacting with proteins in various processes such as protein synthesis, imprinting, cell cycle control, alternative splicing, and chromatin structure regulation[82,85-91]. lncRNAs are also involved in enhancer-regulating gene activation (eRNAs), interacting directly with distal genomic loci[92]. Finally, certain lncRNAs serve as interacting partners or precursors for miRs or other short regulatory ncRNAs[93]. The ability of lncRNAs to bind to protein molecules provides them with several regulatory capacities. In the last few years several mechanistic modes of lncRNAs function have emerged. Four main themes that outline the main function are as follows: (Figure 3).
Figure 3

Emerging mechanistic modes of action for lncRNAs (See text).

Emerging mechanistic modes of action for lncRNAs (See text).

a. Signal - enhancer

Since certain lncRNAs have been found to respond to various stimuli, they may act as molecular signals[94]. Studies using ChIP-Seq techniques, showed that the gene-activating enhancers produce lncRNA transcripts (eRNAs)[95], and their expression positively correlates with that of adjacent genes, indicating a possible role in the regulation of mRNA synthesis.

b. Decoy

lncRNA can function as molecular decoy to negatively regulate an effector. As an example Gas5 contains a sequence motif that resembles the DNA-binding site of the glucocorticoid receptor[96]. It can function as a decoy to release the receptor from DNA to prevent transcription of metabolic genes[97].

c. Guide

Binding with a target molecule, lncRNA may have the ability to guide it into the right position either in cis or in trans (on distantly located genes). The newly found eRNAs appear to exert their effects in cis by binding to specific enhancers and actively engaged in regulating mRNA synthesis[98].

d. Scaffold

Recent studies have found that several lncRNAs have the capacity to bind more than two protein molecules, where the lncRNAs serve as adaptors to form the functional protein complexes[98]. Despite the extensive research, it still remains difficult to understand the functions of lncRNAs. Unlike protein-coding genes whose mutations may result in altered phenotypes, mutations in lncRNAs often do not cause significant phenotypes[88]. It is likely that lncRNAs may function at specific stages of the developmental process or under specific conditions.

3.3 LncRNAs and Bone Remodeling

Despite the rapid accumulation of data about the role of lncRNAs in the epigenetic regulation of transcription and nuclear structure, their role in skeletal basic and clinical biology remains largely unknown. The delineation of specific miRs-targets regulating differentiation and function of bone cells and the role of lncRNAs in the process of miRs created an urgent need for greater understanding of the role of lncRNAs in bone metabolism. In one of the earlier studies, a differential expression of an array of 116 lncRNAs was found during BMP-2 induced differentiation of C3H10T1/2 stem cells[99]. Among these, 59 were upregulated and 57 were downregulated in BMP-2 treated group. In addition, 24 cooperatively differentially expressed lncRNAs and nearby mRNA pairs were found. These observations indicate that lncRNA expression profiles are significantly altered in C3H10T1/2 undergoing early osteoblast differentiation and these results may provide insight into the mechanisms responsible for osteoblast differentiation. A human study, using microarray analyses of monocytes in 73 Caucasian females with high or low hip BMD showed that 575 lncRNAs were differentially expressed between the two groups. In high BMD subjects, 309 lncRNAs were upregulated and 266 were downregulated. Analysis with genome browser showed that four genes and lncRNAs pairs were significantly correlated and cooperatively differentially expressed in high compared with low BMD subjects. In these four pairs, the coding genes, nuclear receptor subfamily 4 group A member 1(NR4A1) and ATP-binding cassette sub-family G member 1(ABCG1), seem to be important for monocytes differentiation and survival. These findings connected the lncRNAs profiles with osteoporosis and may suggest the regulatory mechanism between lncRNAs and protein coding genes in bone metabolism[100].

3.3.1 Specific roles

Specific lncRNAs are considered today to be important to bone formation (Table 2):
Table 2

IncRNAs involved in Bone Metabolism.

LncRNAFunctionExpressionEffects
HOTAIRProtein recruiterAdipogenic. Upregulated in osteosarcomaRecruits EZH2 and SUZ12 to the HoxD cluster and silences the locus. β-catenin represses HOTAIR
DANCRmiRNA spongeAdipogenic ↓May promote cell proliferation and differentiation toward the chondrocyte lineage
H19miRNA sponge miRNA precursorOsteogenic ↑ Adipogenic ↓Functions downstream of SOX9. H19 is processed into miR-675 that subsequently upregulates COL2A1. H19 is processed into miR-675, which targets TGFβ1 for degradation. H19 acts as a ceRNA, binding to miR-141 and miR-22, blocking binding
MEG3Protein recruiterOsteogenic ↑ Adipogenic ↓Upregulates BMP4 by disrupting the interaction between the SOX2 and BMP4 promoter

↑upregulation; ↓downregulation.

Abbreviations: HOTAIR, HOX Transcript Antisense RNA; DANCR, Differentiation Antagonizing Non-Protein Coding RNA; MEG3, maternally expressed 3; EZH2, Enhancer of zeste homolog 2; SUZ12, Suppressor Of Zeste 12 Protein Homolog; SOX9, sex determining region Y)-box 9; miR, microRNA; TGFβ1, tumor growth factor β-1; BMP4, bone morphogenetic protein 4.

IncRNAs involved in Bone Metabolism. ↑upregulation; ↓downregulation. Abbreviations: HOTAIR, HOX Transcript Antisense RNA; DANCR, Differentiation Antagonizing Non-Protein Coding RNA; MEG3, maternally expressed 3; EZH2, Enhancer of zeste homolog 2; SUZ12, Suppressor Of Zeste 12 Protein Homolog; SOX9, sex determining region Y)-box 9; miR, microRNA; TGFβ1, tumor growth factor β-1; BMP4, bone morphogenetic protein 4. It has been shown that targeted disruption of the lncRNA for HOX transcript antisense RNA (HOTAIR) results in malformation of carpal and metacarpal bones and homeotic transformation of the spine[101]. HOTAIR is expressed in the posterior trunk and distal limb buds, as well as, in the mesenchymal cells of embryonic forelimbs[63]. HOTAIR binds to polycomb repressive complex 2 (PRC2) regulating the methylation of trimethylation of histone H3 at lysine 27 (H3K270, and in the formation of lysine (K)-specific demethylase 1A (Lsd1) complex, which demethylates H3K4. It has been proposed that HOTAIR creates a silent chromatin state and by repression of the expression of the Homeobox protein (HoxD) genes (Figure 4).
Figure 4

Regulation of HOXD gene expression by lncRNA HOTAIR. Transcribed from the HOXC locus, HOTAIR binds to SUZ12 and EZH2, part of the PRC2 complex. HOTAIR recruits the PRC2 complex and silences the HOXD locus through H3K27me3. (.

Regulation of HOXD gene expression by lncRNA HOTAIR. Transcribed from the HOXC locus, HOTAIR binds to SUZ12 and EZH2, part of the PRC2 complex. HOTAIR recruits the PRC2 complex and silences the HOXD locus through H3K27me3. (. During osteogenesis it has been shown that lncRNA Differentiation Antagonizing Non-Protein Coding RNA (DANCR), recognized in the differentiation process of hFOB1.19 cells, may function as molecular switch regulating the commitment of MSCs[102]. DANCR associates with enhancer of zeste homolog 2 (EZH2), and this association results in the inhibition of Runx2 expression and subsequent osteoblast differentiation. DANCR-siRNA blocks the expression of endogenous DANCR, resulting in osteoblast differentiation, whereas DANCR overexpression is sufficient to inhibit osteoblast differentiation. These data suggested that DANCR is an essential participant of osteoblast commitment and differentiation. Furthermore, DANCR inhibits adipogenic differentiation by acting as a sponge of miR-204[103]. Reduced expression of DANCR with the onset of adipogenic differentiation increases free-functioning miR-204 that downregulates the target genes Runx-2 and Sirtuin 1 (SIRT1)[103]. SIRT1 is an adipogenic inhibitor; therefore, downregulation of SIRT1 in C3H10T1/2 cells may promote adipogenic differentiation[104]. In addition, miR-204 suppresses Wnt/β-catenin signaling by modulating dishevelled homolog (DVL3) expression, which promotes adipogenic differentiation of human adipose-derived MSCs[105]. TGF-β and Wnt signaling pathways are involved in osteo-adipogenesis[106-109]. These signaling pathways are modulated by lncRNAs and associated regulators, such as miRs and other histone modifiers. The lncRNA H19 acts as a miR precursor of miR-675. Its expression increases during osteoblast differentiation but decreases during adipocyte differentiation in human MSCs and bone marrow MSCs[110]. ΜiR-675 may indirectly increase Runx2 expression and osteoblast differentiation in human MSCs[110]. Overexpression of miR-675 in human BMSCs inhibits adipogenic differentiation through the downregulation of class II HDACs[111,112]. H19 also acts as a miR sponge that captures miR-141, miR-22, miR-200a, and let-7 to inhibit their respective functions (Figure 5). Thus, the regulatory effects of H19 on osteo-adipogenesis are partially determined by its co-operating miRs.
Figure 5

Modes of action of lncRNA H19 in osteogenesis. (A) H19 generates miR-675, which targets TGFβ1 leading it to degradation. (B) H19 acts as a sponge for removal of miR-141 and miR-22, thus leading to an up-regulation of their target mRNAs disrupting osteoblast differentiation.

Modes of action of lncRNA H19 in osteogenesis. (A) H19 generates miR-675, which targets TGFβ1 leading it to degradation. (B) H19 acts as a sponge for removal of miR-141 and miR-22, thus leading to an up-regulation of their target mRNAs disrupting osteoblast differentiation. The lncRN maternally expressed 3 (MEG3) is a maternally expressed, imprinted long non- coding RNA gene that has been shown to interact with the PRC2 complex and suppresses the expression of genes involved in the TGF-β pathway inhibiting the SMAD-dependent signaling pathway. In human BMSCs, increasing the expression of MEG3 activates BMP4 transcription and promotes osteogenic differentiation[113]. TGF-β1-mediated SMAD2/3 signaling negatively regulates the expression of miR-29[114,115]. In human osteoblasts, canonical Wnt signaling induces the expression of miR-29, as has been mentioned above which diminishes the effect of Wnt signaling by targeting the Wnt antagonists DKK-1, Kremen2, and SFRP2[27]. It has also been shown that miR-29 promotes osteoblast differentiation by downregulating anti-osteogenic factors, such as HDAC4, TGFB3, CTNNBIP1, activin receptor type-2A (ACVR2A), and dual specificity protein phosphatase 2 (DUSP2), in MC3T3-E1 cells[31]. Thus, the MEG3-miR-29 regulatory circuitry may promote osteoblast differentiation.

4. Concluding Remarks

Non-coding RNAs were previously thought to arise as non-functional by-products in RNA splicing. Advancements in high-throughput sequencing technologies and bioinformatics, however, have changed our view regarding biogenesis and function of ncRNAs and their study has gradually become one of the most noticeable areas in the field of RNA biology. NcRNAs are an abundant, relatively stable, diverse and conserved class of RNA molecules, that act as competing endogenous nucleotides binding to RNAs and regulating their transcription or affect parental gene expression. The complex crosstalk among signalling molecules, lncRNAs, miRs, DNA methylases, and histone modifiers is crucial for achieving a balance between osteoblast and adipocyte lineage commitment and enchance bone remodeling. Αging is also characterized by epigenetic alterations that may induce trans-differentiation of osteoblasts into adipocytes, and explain age-associated marrow adipose tissue accumulation. Further functional studies of ncRNAs and their interacting partners during osteo-adipogenesis are necessary to clarify the specific roles of ncRNAs in bone metabolism and aging. The diverse functionality of the different classes of non-coding RNAs that participate in skeletal morphogenesis and development are leading the exploration of novel mechanisms that would explain bone metabolic diseases far beyond DNA mutational changes. Studies identifying circulating small RNAs as potential “biomarkers” are emerging for cancer and other diseases. This would also be a future direction for skeletal disorders, as ncRNAs reflect changes in activity of bone cells, which may occur as an early sign of disease progression, as response to therapy or even lead to the development of specific molecular targets for therapeutic intervention. Up to now, the clinical utility of circulating ncRNAs in bone metabolic diseases has not been established, since study designs were not suited to identify which ncRNAs can give a prognosis for future risk of fragility fractures, or predict a treatment response. Despite the large gaps in our existing knowledge, however, these fascinating non-coding nucleotide sequences seem to act as critical regulators of normal development and disease and the greater understanding of their biogenesis and function will open a new era in the quest for novel biomarkers and target molecules for drug development.
  114 in total

Review 1.  Small regulatory RNAs in mammals.

Authors:  John S Mattick; Igor V Makunin
Journal:  Hum Mol Genet       Date:  2005-04-15       Impact factor: 6.150

Review 2.  RNA meets chromatin.

Authors:  Emily Bernstein; C David Allis
Journal:  Genes Dev       Date:  2005-07-15       Impact factor: 11.361

3.  Five freely circulating miRNAs and bone tissue miRNAs are associated with osteoporotic fractures.

Authors:  Claudine Seeliger; Katrin Karpinski; Alexander T Haug; Helen Vester; Andreas Schmitt; Jan S Bauer; Martijn van Griensven
Journal:  J Bone Miner Res       Date:  2014-08       Impact factor: 6.741

4.  Mammalian microRNAs predominantly act to decrease target mRNA levels.

Authors:  Huili Guo; Nicholas T Ingolia; Jonathan S Weissman; David P Bartel
Journal:  Nature       Date:  2010-08-12       Impact factor: 49.962

5.  Upregulation of lncRNA MEG3 Promotes Osteogenic Differentiation of Mesenchymal Stem Cells From Multiple Myeloma Patients By Targeting BMP4 Transcription.

Authors:  Wenzhuo Zhuang; Xueping Ge; Sijun Yang; Moli Huang; Wenyue Zhuang; Ping Chen; Xiaohui Zhang; Jinxiang Fu; Jing Qu; Bingzong Li
Journal:  Stem Cells       Date:  2015-06       Impact factor: 6.277

6.  Long Noncoding RNA H19 Promotes Osteoblast Differentiation Via TGF-β1/Smad3/HDAC Signaling Pathway by Deriving miR-675.

Authors:  Yiping Huang; Yunfei Zheng; Lingfei Jia; Weiran Li
Journal:  Stem Cells       Date:  2015-10-23       Impact factor: 6.277

7.  The transcriptional landscape of the mammalian genome.

Authors:  P Carninci; T Kasukawa; S Katayama; J Gough; M C Frith; N Maeda; R Oyama; T Ravasi; B Lenhard; C Wells; R Kodzius; K Shimokawa; V B Bajic; S E Brenner; S Batalov; A R R Forrest; M Zavolan; M J Davis; L G Wilming; V Aidinis; J E Allen; A Ambesi-Impiombato; R Apweiler; R N Aturaliya; T L Bailey; M Bansal; L Baxter; K W Beisel; T Bersano; H Bono; A M Chalk; K P Chiu; V Choudhary; A Christoffels; D R Clutterbuck; M L Crowe; E Dalla; B P Dalrymple; B de Bono; G Della Gatta; D di Bernardo; T Down; P Engstrom; M Fagiolini; G Faulkner; C F Fletcher; T Fukushima; M Furuno; S Futaki; M Gariboldi; P Georgii-Hemming; T R Gingeras; T Gojobori; R E Green; S Gustincich; M Harbers; Y Hayashi; T K Hensch; N Hirokawa; D Hill; L Huminiecki; M Iacono; K Ikeo; A Iwama; T Ishikawa; M Jakt; A Kanapin; M Katoh; Y Kawasawa; J Kelso; H Kitamura; H Kitano; G Kollias; S P T Krishnan; A Kruger; S K Kummerfeld; I V Kurochkin; L F Lareau; D Lazarevic; L Lipovich; J Liu; S Liuni; S McWilliam; M Madan Babu; M Madera; L Marchionni; H Matsuda; S Matsuzawa; H Miki; F Mignone; S Miyake; K Morris; S Mottagui-Tabar; N Mulder; N Nakano; H Nakauchi; P Ng; R Nilsson; S Nishiguchi; S Nishikawa; F Nori; O Ohara; Y Okazaki; V Orlando; K C Pang; W J Pavan; G Pavesi; G Pesole; N Petrovsky; S Piazza; J Reed; J F Reid; B Z Ring; M Ringwald; B Rost; Y Ruan; S L Salzberg; A Sandelin; C Schneider; C Schönbach; K Sekiguchi; C A M Semple; S Seno; L Sessa; Y Sheng; Y Shibata; H Shimada; K Shimada; D Silva; B Sinclair; S Sperling; E Stupka; K Sugiura; R Sultana; Y Takenaka; K Taki; K Tammoja; S L Tan; S Tang; M S Taylor; J Tegner; S A Teichmann; H R Ueda; E van Nimwegen; R Verardo; C L Wei; K Yagi; H Yamanishi; E Zabarovsky; S Zhu; A Zimmer; W Hide; C Bult; S M Grimmond; R D Teasdale; E T Liu; V Brusic; J Quackenbush; C Wahlestedt; J S Mattick; D A Hume; C Kai; D Sasaki; Y Tomaru; S Fukuda; M Kanamori-Katayama; M Suzuki; J Aoki; T Arakawa; J Iida; K Imamura; M Itoh; T Kato; H Kawaji; N Kawagashira; T Kawashima; M Kojima; S Kondo; H Konno; K Nakano; N Ninomiya; T Nishio; M Okada; C Plessy; K Shibata; T Shiraki; S Suzuki; M Tagami; K Waki; A Watahiki; Y Okamura-Oho; H Suzuki; J Kawai; Y Hayashizaki
Journal:  Science       Date:  2005-09-02       Impact factor: 47.728

8.  The reality of pervasive transcription.

Authors:  Michael B Clark; Paulo P Amaral; Felix J Schlesinger; Marcel E Dinger; Ryan J Taft; John L Rinn; Chris P Ponting; Peter F Stadler; Kevin V Morris; Antonin Morillon; Joel S Rozowsky; Mark B Gerstein; Claes Wahlestedt; Yoshihide Hayashizaki; Piero Carninci; Thomas R Gingeras; John S Mattick
Journal:  PLoS Biol       Date:  2011-07-12       Impact factor: 8.029

9.  Pathophysiological role of microRNA-29 in pancreatic cancer stroma.

Authors:  Jason J Kwon; Sarah C Nabinger; Zachary Vega; Smiti Snigdha Sahu; Ravi K Alluri; Zahi Abdul-Sater; Zhangsheng Yu; Jesse Gore; Grzegorz Nalepa; Romil Saxena; Murray Korc; Janaiah Kota
Journal:  Sci Rep       Date:  2015-06-22       Impact factor: 4.379

Review 10.  The genetic signatures of noncoding RNAs.

Authors:  John S Mattick
Journal:  PLoS Genet       Date:  2009-04-24       Impact factor: 5.917

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  8 in total

1.  Menopausal Transition: Prospective Study of Estrogen Status, Circulating MicroRNAs, and Biomarkers of Bone Metabolism.

Authors:  Jiri Baloun; Aneta Pekacova; Laszlo Wenchich; Hana Hruskova; Ladislav Senolt; Xiao Svec; Karel Pavelka; Jan J Stepan
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-13       Impact factor: 6.055

Review 2.  The Potential Role of miRNAs as New Biomarkers for Osteoporosis.

Authors:  Maria Materozzi; Daniela Merlotti; Luigi Gennari; Simone Bianciardi
Journal:  Int J Endocrinol       Date:  2018-05-06       Impact factor: 3.257

3.  Bone-Specific Overexpression of PITX1 Induces Senile Osteoporosis in Mice Through Deficient Self-Renewal of Mesenchymal Progenitors and Wnt Pathway Inhibition.

Authors:  Nancy Karam; Jean-François Lavoie; Benoit St-Jacques; Saadallah Bouhanik; Anita Franco; Nihad Ladoul; Alain Moreau
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

4.  Dark-matter matters: Discriminating subtle blood cancers using the darkest DNA.

Authors:  Laxmi Parida; Claudia Haferlach; Kahn Rhrissorrakrai; Filippo Utro; Chaya Levovitz; Wolfgang Kern; Niroshan Nadarajah; Sven Twardziok; Stephan Hutter; Manja Meggendorfer; Wencke Walter; Constance Baer; Torsten Haferlach
Journal:  PLoS Comput Biol       Date:  2019-08-30       Impact factor: 4.475

5.  Circulating microRNAs Related to Bone Metabolism in HIV-Associated Bone Loss.

Authors:  Maria P Yavropoulou; Artemis Kolynou; Polyzois Makras; Maria Pikilidou; Sideris Nanoudis; Lemonia Skoura; Olga Tsachouridou; Georgios Ntritsos; Alexandros Tzallas; Dimitrios G Tsalikakis; Olga Tsave; Simeon Metallidis; Dimitrios Chatzidimitriou
Journal:  Biomedicines       Date:  2021-04-20

6.  Detection of nucleic acids and other low abundance components in native bone and osteosarcoma extracellular matrix by isotope enrichment and DNP-enhanced NMR.

Authors:  Ieva Goldberga; Rui Li; Wing Ying Chow; David G Reid; Ulyana Bashtanova; Rakesh Rajan; Anna Puszkarska; Hartmut Oschkinat; Melinda J Duer
Journal:  RSC Adv       Date:  2019-08-27       Impact factor: 4.036

Review 7.  Gender Predilection in Sporadic Parathyroid Adenomas.

Authors:  Maria P Yavropoulou; Athanasios D Anastasilakis; Argyro Panagiotakou; Evanthia Kassi; Polyzois Makras
Journal:  Int J Mol Sci       Date:  2020-04-22       Impact factor: 5.923

8.  ODNA: a manually curated database of noncoding RNAs associated with orthopedics.

Authors:  Changcheng You; Kai Zhu; Qiuhua Zhang; Jnglong Yan; Yufu Wang; Jing Li
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

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