Literature DB >> 34977024

Crosstalk Among circRNA/lncRNA, miRNA, and mRNA in Osteoarthritis.

Hui Kong1, Ming-Li Sun1, Xin-An Zhang1, Xue-Qiang Wang2,3.   

Abstract

Osteoarthritis (OA) is a joint disease that is pervasive in life, and the incidence and mortality of OA are increasing, causing many adverse effects on people's life. Therefore, it is very vital to identify new biomarkers and therapeutic targets in the clinical diagnosis and treatment of OA. ncRNA is a nonprotein-coding RNA that does not translate into proteins but participates in protein translation. At the RNA level, it can perform biological functions. Many studies have found that miRNA, lncRNA, and circRNA are closely related to the course of OA and play important regulatory roles in transcription, post-transcription, and post-translation, which can be used as biological targets for the prevention, diagnosis, and treatment of OA. In this review, we summarized and described the various roles of different types of miRNA, lncRNA, and circRNA in OA, the roles of different lncRNA/circRNA-miRNA-mRNA axis in OA, and the possible prospects of these ncRNAs in clinical application.
Copyright © 2021 Kong, Sun, Zhang and Wang.

Entities:  

Keywords:  circRNA; lncRNA; lncRNA/circRNA-miRNA-mRNA axis; miRNA; osteoarthritis

Year:  2021        PMID: 34977024      PMCID: PMC8714905          DOI: 10.3389/fcell.2021.774370

Source DB:  PubMed          Journal:  Front Cell Dev Biol        ISSN: 2296-634X


Introduction

Osteoarthritis (OA) is a joint disease that is pervasive in life. It is largely caused by cartilaginous injury and affects the whole joint tissue (Pereira et al., 2015). Nearly half of people over 65 suffer from OA.(Sakalauskienė and Jauniškienė, 2010; Glyn-Jones et al., 2015). Globally, the incidence and mortality of OA are increasing (Bijlsma et al., 2011). Arthrodynia, swelling, and inability to move freely are the main symptoms of OA and cause many adverse effects on people’s lives. Several risk factors (Prieto-Alhambra et al., 2014), including age, sex, obesity, genetics, and joint damage, have been linked to OA progression (Felson et al., 2000; Vincent, 2019; Abramoff and Caldera, 2020). Articular cartilage degeneration and secondary osteogenesis are the main pathological manifestations of OA (Burr and Gallant, 2012). The long-term development of OA will not only affect people’s behaviors and activities but also cause depression, anxiety, and other negative emotions (Litwic et al., 2013). To provide more perfect, targeted treatment for patients with OA, the progression of OA needs to be studied. The specific pathogenesis of OA may be related to metalloproteinases (Mehana et al., 2019), cytokines (Boehme and Rolauffs, 2018), signaling pathways (Rigoglou and Papavassiliou, 2013), and noncoding RNA (ncRNA) (Sondag and Haqqi, 2016). ncRNA is a nonprotein-coding RNA that does not translate into proteins but participates in protein translation. At the RNA level, it can perform biological functions (Wu et al., 2019). microRNA (miRNA), long ncRNA (lncRNA), circular RNA (circRNA), ribosomal RNA (rRNA), transfer RNA (tRNA), small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), small interfering RNA (siRNA), short hairpin RNA (shRNA) and Piwi-interactingRNA (piRNA) are the main ncRNAs(Chen et al., 2021). Studies have found that ncRNA is closely related to the occurrence of several diseases for the past few years (Esteller, 2011; Wang et al., 2019b). For example, promoter CpG methylation of two genes encoding members of the miR-200 family can easily lead to the occurrence and development of breast and colorectal cancer (Lim et al., 2013); miR-34b/c is a critical tumor suppressor. The methylation of miR-34b/c CpG island leads to the silence of miR-34b/c, thus increasing the incidence of tumors (Toyota et al., 2008); the decreased expression of miR-133 may induce myocardial hypertrophy by targeting the beta-1 adrenergic receptor pathway (Castaldi et al., 2014). Many studies have also found that miRNA, lncRNA, and circRNA are closely related to the course of OA, and play important regulatory roles in transcription, post-transcription, and post-translation (Li et al., 2019b; Zhang et al., 2021e). The interaction between lncRNA/circRNA, miRNA, and mRNA has attracted increasing attention. For example, lncRNA/circRNA can bind to miRNA, reduce the inhibitory effect of miRNA on mRNA, participate in regulating the progress of chondrocyte proliferation and apoptosis, extracellular matrix (ECM) degradation and inflammatory response in the progress of OA. Furthermore, lncRNA-p21 could induce chondrocyte apoptosis and slow the process of OA by binding to miR-451 and promoting the expression of downstream target gene mRNA (Tang et al., 2018a). This review describes the roles of miRNA, lncRNA, and circRNA in OA and the role of the lncRNA/circRNA–miRNA–mRNA axis in OA.

miRNAs and OA

miRNA is a single-stranded RNA molecule with a length of about 20–24 nucleotides (Correia de Sousa et al., 2019). It belongs to one type of ncRNA and widely exists in eukaryotes to regulate the expression of other genes. miRNA regulates gene expression based on complete or incomplete pairing with mRNA. In most cases, the single-stranded miRNA in the complex is paired with the 3′UTR of the target mRNA in an incomplete complementary manner, blocking the translation of the gene and regulating gene expression. This process, called translation inhibition, is mainly found in animal cells. When the miRNA is completely complementary to the 3′UTR of the target mRNA, the mRNA in the complementary region would be specifically broken, eventually leading to gene silencing, and the process called post-transcriptional gene silencing, which will eventually lead to the degradation of target mRNA, mainly exists in plant cells (Liu et al., 2014a). The same gene can be regulated by multiple miRNAs, and multiple target genes can be regulated by the same miRNA (Iacona and Lutz, 2019). The formation and mechanism of miRNA are shown in Figure 1.
FIGURE 1

Formation and mechanism of miRNA. miRNAs are first transcripted into longer primary miRNAs in the nucleus and then processed into hairpin RNAs of 60–70 nucleotides in the nucleus by Drosha, Pasha et al. The precursor miRNAs are transported out of the cell nucleus with the help of the Ran-GTP-dependent nucleoplasmic/cell transporter Exprotin-5 and split into 21–25 nucleotide length double-stranded miRNAs in the cytoplasm by Dicer. Subsequently, the double helix is derotated by the action of the derotation enzyme, and one of the strands is integrated into the RNA-induced silencing complex (RISC), an asymmetric RISC assembly is formed, and the other chain is immediately degraded.

Formation and mechanism of miRNA. miRNAs are first transcripted into longer primary miRNAs in the nucleus and then processed into hairpin RNAs of 60–70 nucleotides in the nucleus by Drosha, Pasha et al. The precursor miRNAs are transported out of the cell nucleus with the help of the Ran-GTP-dependent nucleoplasmic/cell transporter Exprotin-5 and split into 21–25 nucleotide length double-stranded miRNAs in the cytoplasm by Dicer. Subsequently, the double helix is derotated by the action of the derotation enzyme, and one of the strands is integrated into the RNA-induced silencing complex (RISC), an asymmetric RISC assembly is formed, and the other chain is immediately degraded. With the deepening of research, miRNAs have been discovered and studied increasingly, and they have become a potential target in disease prevention and treatment. miRNA has many functions roles in human diseases, such as regulating cell autophagy (Li et al., 2019h), epigenesis (Yao et al., 2019), glucose metabolism (Fu et al., 2015). Chen et al. (2018c) developed a computational model for disease association prediction to detect potential miRNA-disease associations accurately and efficiently. By studying three common human cancers (Zhang et al., 2021b), namely, colon cancer, esophagus cancer, and kidney cancer, many miRNAs were confirmed to be connected with the three kinds of cancer. In addition, many studies have proven that miRNA is related to the pathological processes of intervertebral disc degeneration (Shi et al., 2021b), muscle atrophy (Zhang et al., 2021a), and cardiovascular diseases (Liu et al., 2021a). Currently, growing findings reveal that miRNA expression level changes exist in various tissues of patients with OA, leading to abnormal target gene expression. miRNA has many functions in OA, such as regulating cell autophagy and apoptosis (Yu et al., 2019b), inflammatory reaction (Sui et al., 2019), and cartilage degradation (Guo et al., 2020). Changes in miRNA expression levels in different tissues can be experimented with by gene sequencing. Gene sequencing is a new type of gene detection technology, which can analyze and determine the whole sequence of genes from blood or saliva to predict the possibility of suffering from various diseases and lock in individual diseased genes for early prevention and treatment. Zhou et al. (2020b) revealed 21 differentially expressed miRNAs in synovial tissues from OA patients compared with normal controls by gene sequencing technology. The expression levels of the first two DEmiRNAs(hsa-miR-17-5p and hsa-miR-20b-5p), which cover most of the DEmRNAs, were analyzed and found to be down-regulated in OA, which was also confirmed by qRT-PCR verification. Ntoumou et al. (2017) assessed differential miRNA expression by microarray analysis in the serum of patients with OA. Compared with the control group, 279 miRNAs were differentially expressed in OA. This study focused on analyzing and studying three differentially expressed miRNAs: hsa-miR-140-3p, hsa-miR-671-3p, and hsa-miR-33b-3p. We found that the expression of these three miRNAs was down-regulated in the serum of OA patients. Through serum microRNA array analysis and bioinformatics analysis, they determined that these three miRNAs were potential OA biomarkers involved in the metabolic processes of insulin and cholesterol. OA is a metabolic disease, and insulin resistance plays a vital role in metabolic syndrome. Therefore, the metabolic processes of insulin and cholesterol in the body are closely related to OA. In addition, based on RNA sequencing and miRNA analysis, Wu et al. (2021a) identified that miR-210-5p is highly enriched in the exosomes of OA sclerotic subchondral osteoblasts, triggering the expression of genes associated with catabolism in articular chondrocytes. Therefore, the abnormal up-regulation of miR-210-5p in exosomes could serve as a marker for OA. Notably, miRNA show obvious tissue specificity in different OA tissues. For example, the expression of miR-125b-5p in synovial fluid and chondrocytes is different in OA patients. Ge et al. (2017) found by PCR that miR-125b-5p in synovial fluid was significantly up-regulated in OA patients compared with normal subjects, promoting synovial cell apoptosis by targeting syvn1. Rasheed et al. (2019) treated chondrocytes with IL-1β to construct OA cell models and determined the expression of miR-125b-5p using Taqman analysis. They found that miR-125b-5p in chondrocytes was significantly down-regulated compared to healthy individuals and regulated inflammatory genes in OA chondrocytes by targeting TRAF6. Our appeal study found that expression levels of multiple miRNAs in the synovial membrane, cartilage, and subchondral bone were altered in OA patients compared to healthy individuals. In addition, even in the same tissue, if in different stages of development, the expression of miRNAs may be different. For example, in different stages of the knee joint cartilage of rats, Sun et al. (2011) used Solexa sequencing and RT-qPCR detection for the expression of miRNAs. They tested the miRNAs in the rat knee joint cartilage at the starting point, on Day 21 and Day 42, and found that the expression of miRNAs was different at each stage. Among them, 4 representative miRNAs were selected for further analysis. Compared with the initial stage, the expressions of aggrecan, colia1, and ColXa1 were up-regulated on day 21. The expression of ColXa1 was up-regulated on day 42, whereas those of aggrecan and colia1 were down-regulated. The expression of Sox9 showed minimal change during the three stages. Gabler et al. (2015) found that miRNA could control the differentiation of chondrocytes and regulate the occurrence of OA. During the development of human bone marrow mesenchymal stem cells (HMSCs), the expression of miRNA in different development stages is also different. By microarray analysis, the miR spectra of HMSCs in patients with OA at different development time points were measured. Among the 1,349 detected miRNAs, 553 were expressed in cartilage formation, they further performed miRNAs detection at 7, 14, 21, and 42 days after cartilage formation and found that their expression of miRNAs was also different. In summary, the expression of miRNAs in OA patients is different in different tissues and between different stages of development of the same tissue. It is well known that many intracellular signaling pathways, such as nuclear factor-kappaB(NF-κB) and transforming growth factor β (TGF-β) played an vital roles in the pathogenesis of OA (Nishimura et al., 2020). In recent years, more studies discovered that miRNA can delay the pathological process of OA by promoting or inhibiting these pathways (Xu et al., 2016). NF-κB is an essential nuclear transcription factor in cells participating in the inflammatory and immune response of the body and apoptosis regulation (Lawrence, 2009). For example, as the 3′UTR of NF-κB contains the binding site of miR-143 and miR-124, when the DNA methylation degree of miR-143 and miR-124 promoters is reduced, the expression of miR-143 and miR-124 is up-regulated, and the transcription process is activated, thereby inhibiting the NF-κB signaling pathway, inhibiting apoptosis and delaying the progression of OA (Qiu et al., 2020). Similarly, When the expression levels of miR-34a and miR-181a were decreased, the expression of the BCL2 gene was increased, thereby limiting the term of NF-κ B translocation into the nucleus in OA Chondrocytes cultures and eventually reducing apoptosis and oxidative stressl (Cheleschi et al., 2019). The TGF-β signaling pathway is involved in many cellular processes in mature organisms and developing embryos, including cell growth, differentiation, apoptosis, dynamic cell balance, and other cellular functions. By promoting or inhibiting the TGF-β signaling pathway, we can regulate the cellular processes, thereby inducing or delaying the progression of OA (Shen et al., 2014). Hu et al. (2019b) established OA mouse models. QPCR and Western blot were used to compare the expression of miR-455-3p and PAK2 in the cartilage of healthy individuals and patients with OA, and the luciferase reporter gene was used to analyze the interaction between them. The results showed that miR-455-3p could inhibit the expression of pak 2, promote the TGF-β signaling pathway, and ultimately inhibit OA by directly targeting PAK2 3′UTR. In summary, various miRNAs are involved in regulating OA progression by handling a variety of intracellular signaling pathways. In addition, increasing evidence also emphasizes that changes in the expression of many miRNAs can also directly regulate the development of OA. The specific information of these miRNAs is listed in Table 1.
TABLE 1

Functional characterization of the miRNAs in OA.

miRNAExpressionTarget gene(s)Tissue/cell sourceRegionModelFunctionsReference
miR-103UpSPHK1Cartilage tissueknee joint, hip jointOA rat modelApoptosis Li et al. (2019a)
UpSox6Cartilage tissueknee jointOA cell modelApoptosis Chen and Wu, (2019)
miR-34aUpTGIF2Synovial fluidknee jointOA cell modelApoptosis Luo et al. (2019a)
UpDLL1Cartilage tissueknee joint, hip jointOA rat modelApoptosis Zhang et al. (2018d)
Up SIRT1/p53 Cartilage tissueknee jointOA rat modelApoptosis Yan et al. (2016)
UpCyr61Cartilage tissueknee jointOA cell modelApoptosis Yang et al. (2018a)
Up——Cartilage tissueknee jointOA rat modelApoptosis Tao et al. (2020)
Up——Cartilage tissueknee jointOA rat modelApoptosis Abouheif et al. (2010)
miR-486-5pUpSMAD2Cartilage tissueknee jointOA cell modelApoptosis Shi et al. (2018)
miR-375Up JAK2 Cartilage tissueknee jointOA mouse modelApoptosis Zou et al. (2019)
UpATG2BCartilage tissueknee jointOA mouse modelAutophagy Li et al. (2020c)
miR-29bUpPTHLHCartilage tissueknee jointOA mouse modelApoptosis Dou et al. (2020)
Up Wnt5a ————OA mouse modelcartilage degradation Sun et al. (2020)
UpCOL2A1, COL1A2Cartilage tissueknee joint, hip jointOA mouse modelApoptosis Moulin et al. (2017)
UpCOL1A1, COL3A1Cartilage tissueknee joint, hip jointOA cell modelApoptosis Mayer et al. (2017)
miR-29b-3pUpPGRNCartilage tissueknee jointOA rat modelApoptosis Chen et al. (2017)
miR-124AUpQKI, MAP 1BCartilage tissueknee jointOA rat modelcartilage degradation Jiang et al. (2020b)
miR-455-3pUpPAK2Cartilage tissueknee jointOA mouse modelcartilage degradation Hu et al. (2019b)
UpCOL2A1Cartilage tissue——OA cell modelApoptosis, Inflammation Cheng et al. (2020)
UpPTENBone marrow, Cartilage tissue——OA mouse modelApoptosis, Inflammation Wen et al. (2020)
miR-30bUpERGCartilage tissueknee jointOA cell modelcartilage degradation Li et al. (2015)
miR-181UpPTENCartilage tissueknee jointOA cell modelApoptosis Wu et al. (2017b)
miR-324-5pUpGpc1Cartilage tissue——OA cell model—— Woods et al. (2019)
miR-146aUpTRAF6Cartilage tissueknee joint, hip jointOA cell modelApoptosis Zhong et al. (2017)
UpCamk2d, Ppp3r2Cartilage tissueknee jointOA mouse modelcartilage degradation Zhang et al. (2017)
UpSmad4Cartilage tissueknee jointOA rat modelApoptosis Li et al. (2012)
UpCXCR4Cartilage tissue——OA mouse modelnflammation Sun et al. (2017)
miR-146a-5pUpTRAF6Cartilage tissuehip jointOA cell modelApoptosis Shao et al. (2020)
UpTXNIPSW1353 and C28/I2 cells————Apoptosis, Inflammation Zhao and Gu, (2020)
Up——Cartilage tissue, Blood——OA cell modelcartilage degradation, Inflammation Skrzypa et al. (2019)
miR-146bUpA2MCartilage tissueknee jointOA mouse modelApoptosis, cartilage degradation Liu et al. (2019d)
Up——Bone marrow, Cartilage tissue——OA cell modelApoptosis Budd et al. (2017)
miR-1236Uprs4246215Cartilage tissueknee jointOA cell modelApoptosis Wang et al. (2020b)
miR-10a-5pUpHOXA3Cartilage tissue, Blood——OA mouse modelApoptosis, cartilage degradation Li et al. (2020b)
UpHOXA1Cartilage tissuehip jointOA mouse modelApoptosis Ma et al. (2019b)
miR-27b-3pUpKDM4BCartilage tissueknee jointOA rat modelInflammation Zhang et al. (2020c)
miR-483-5pUpMatn3, Timp2Cartilage tissueknee jointOA mouse modelcartilage degradation Wang et al. (2017b)
miR-340-5pUpFMODCartilage tissueknee jointOA mouse modelApoptosis Zhang et al. (2018c)
miR-195UpPTHrPCartilage tissueknee jointOA rat modelApoptosis Cao et al. (2019b)
miR-195-5pUpREGγCartilage tissue——OA mouse modelApoptosis Shu et al. (2019)
miR-23b-3pUpCOL11A2Cartilage tissueknee jointOA mouse modelinflammation Yang et al. (2019b)
miR-448Upmatrilin-3Cartilage tissueknee jointOA cell modelApoptosis, cartilage degradation Yang et al. (2018b)
miR-203UpERαBlood, Cartilage tissue——OA rat modelcartilage degradation Tian et al. (2019)
UpMCL-1Cartilage tissue——OA cell modelApoptosis, cartilage degradation, Inflammation Zhao et al. (2017)
miR-203aUp Smad3 Cartilage tissueknee jointOA cell modelcartilage degradation, Inflammation An et al. (2020)
miR-21UpGDF-5Cartilage tissue——OA cell modelApoptosis Zhang et al. (2014)
miR-21-5pUpFGF18Cartilage tissueknee jointOA mouse modelApoptosis, cartilage degradation Wang et al. (2019e)
miR-218-5pUpPIK3C2ACartilage tissueknee jointOA mouse modelcartilage degradation, Apoptosis Lu et al. (2017)
miR-449aUpGDF5Cartilage tissue——OA cell modelcartilage degradation Wu et al. (2018a)
miR-125b-5pUpSYVN1Synovial fluid——OA cell modelApoptosis Ge et al. (2017)
miR-384-5pUpSOX9Cartilage tissueknee jointOA mouse modelApoptosis Zhang et al. (2020i)
miR-23a-3pUpSMAD3Cartilage tissue——OA cell modelcartilage degradation Kang et al. (2016a)
miR-139UpMCPIP1Cartilage tissue——OA cell modelApoptosis Makki and Haqqi, (2015)
miR-206Up——Cartilage tissueknee jointOA cell modelApoptosis Ni et al. (2018)
miR-382-3pUpCX43Cartilage tissueknee jointOA cell modelInflammation Lei et al. (2019)
miR-101UpSox9Synovial fluidknee jointOA rat modelcartilage degradation Dai et al. (2015)
miR-30aUpSox9Cartilage tissueknee jointOA cell modelcartilage degradation, Inflammation Chang et al. (2016)
UpDLL4bone marrow——OA rat modelCell differentiation Tian et al. (2016)
miR-216bUpSmad3Cartilage tissueknee jointOA cell modelcartilage degradation He et al. (2017)
miR-128aUpAtg12Cartilage tissueknee jointOA rat modelAutophagy Lian et al. (2018)
miR-20aUpIkBβCartilage tissue, blood——OA rat modelInflammation Zhao and Gong, (2019)
miR-136UpMcl-1Cartilage tissue——OA cell modelApoptosis, cartilage degradation, Inflammation Wang and Kong, (2018)
miR-130bUpSOX9Bone marrow, Cartilage tissue——OA rat modelCell differentiation Zhang et al. (2021c)
miR-132-3pUpADAMTS-5Bone marrow, Cartilage tissue——OA rat modelCell differentiation Zhou et al. (2018c)
miR-1246UpHNF4γCartilage tissue——OA mouse modelInflammation Wu et al. (2017a)
miR-9Up——Cartilage tissue——OA mouse modelApoptosis, cartilage degradation, Inflammation Zhang et al. (2019e)
miR-222UpHDAC-4Cartilage tissueknee jointOA mouse modelApoptosis Song et al. (2015)
miR-155UpPIK3R1Cartilage tissueknee jointOA cell modelApoptosis Fan et al. (2020)
miR-33aUpSmad7Cartilage tissueknee jointOA cell modelCell differentiation Kostopoulou et al. (2015)
miR-93DownTLR4Cartilage tissue, Synovial fluidknee jointOA mouse modelApoptosis, inflammation Ding et al. (2019)
miR-93-5pDownTCF4Cartilage tissueknee jointOA rat modelApoptosis Xue et al. (2019)
miR-92a-3pDownWNT5ABone marrow, Cartilage tissue——OA mouse modelcartilage degradation Mao et al. (2018b)
miR-92a-3pDownHDAC2Bone marrow, Cartilage tissue——OA cell modelcartilage degradation Mao et al. (2017b)
miR-92a-3pDownADAMTS-4, ADAMTS-5Cartilage tissueknee jointOA cell modelcartilage degradation, Inflammation Mao et al. (2017a)
miR-107DownTRAF3Cartilage tissueknee jointOA rat modelAutophagy and apoptosis Zhao et al. (2019b)
miR-101a-3pDownUBE2D1, FZD4Cartilage tissue——OA rat modelApoptosis Mao et al. (2021a)
miR-671Down——Cartilage tissueknee jointOA mouse modelApoptosis Zhang et al. (2019a)
miR-671-3pDownTRAF3Cartilage tissueknee jointOA cell modelcartilage degradation, Inflammation, Apoptosis Liu et al. (2019e)
miR-140Down——Synovial fluid, Cartilage tissueknee jointOA cell modelcartilage degradation Si et al. (2016)
DownRALACartilage tissueknee jointOA cell modelCell differentiation Karlsen et al. (2014)
DownIGFBP-5Cartilage tissueknee jointOA cell modelcartilage degradation Tardif et al. (2009)
DownIGFBP5Cartilage tissueknee jointOA cell modelinflammation Karlsen et al. (2016)
DownADAMTS5Cartilage tissue——OA mouse modelcartilage degradation Miyaki et al. (2010)
DownMMP-13Cartilage tissue——OA cell modelcartilage degradation(Liang et al., 2012; Liang et al., 2016)
DownSMAD1Cartilage tissue——OA cell modelApoptosis Li et al. (2018a)
DownNFAT3, SMAD3Cartilage tissueknee jointOA cell modelinflammation Tardif et al. (2013)
miR-140-3pDownCXCR4Cartilage tissueknee jointOA cell modelApoptosis Ren et al. (2020)
miR-140-5pDownSMAD3————OA mouse modelinflammation Li et al. (2019d)
DownHMGB1Cartilage tissueknee jointOA cell modelinflammation Wang et al. (2020d)
DownFUT1Cartilage tissueknee jointOA cell modelApoptosis Wang et al. (2018b)
miR-33b-3pDownDNMT3ACartilage tissueknee jointOA cell modelApoptosis Ma et al. (2019a)
miR-766-3pDownAIFM1Cartilage tissue——OA cell modelcartilage degradation Li et al. (2020g)
miR-26aDown——Cartilage tissueknee jointOA rat modelinflammation Zhao et al. (2019c)
miR-26a/miR-26bDownFUT4Cartilage tissueknee jointOA rat modelApoptosis Hu et al. (2018a)
miR-26a-5pDownPTGS2Bone marrow, Synovial fluid——OA rat modelApoptosis, Inflammation Jin et al. (2020)
miR-377-3pDownITGA6Cartilage tissueknee jointOA cell modelApoptosis Tu et al. (2020)
miR-410-3pDownHMGB1Synovial fluid, Cartilage tissueknee jointOA mouse modelApoptosis, Inflammation Pan et al. (2020)
miR-142-3pDownHMGB1Cartilage tissueknee jointOA mouse modelApoptosis, Inflammation Wang et al. (2016c)
miR-210DownHIF-3αCartilage tissueknee jointOA cell modelApoptosis, cartilage degradation Li et al. (2016)
DownDR6Cartilage tissueknee jointOA rat modelApoptosis, Inflammation Zhang et al. (2015)
miR-122DownSIRT1Cartilage tissueknee jointOA cell modelcartilage degradation Bai et al. (2020a)
miR-337-3pDownPTENCartilage tissueknee jointOA cell modelApoptosis Huang et al. (2017)
miR-129-3pDownCPEB1Cartilage tissueknee jointOA rat modelApoptosis Chen et al. (2020d)
miR-675-3pDownGNG5Cartilage tissueknee jointOA cell modelApoptosis, cartilage degradation Shen et al. (2020b)
miR-132DownPTENCartilage tissue, Blood——OA rat modelApoptosis Zhang et al. (2021d)
miR-137DownTCF4Cartilage tissueknee jointOA rat modelApoptosis, inflammation Wang et al. (2020a)
miR-320cDown β-cateninCartilage tissueknee jointOA mouse modelApoptosis Hu et al. (2019a)
miR-29aDownBaxCartilage tissue——OA cell modelApoptosis Miao et al. (2019)
DownVEGFSynovial fluidknee jointOA cell modelcartilage degradation, Inflammation Ko et al. (2017)
miR-193b-3pDownMMP-19Cartilage tissueknee jointOA cell modelInflammation Chang et al. (2018)
miR-193b-3pDownHDAC3Cartilage tissueknee jointOA mouse modelcartilage degradation Meng et al. (2018)
miR-193b-5pDownHDAC7Cartilage tissueknee joint, hip jointOA cell modelInflammation Zhang et al. (2019b)
miR-136-5pDownELF3Bone marrow, Cartilage tissue——OA mouse modelApoptosis, cartilage degradation Chen et al. (2020e)
miR-374a-3pDownWNT5B————OA cell modelApoptosis Shi and Ren, (2020)
miR-19b-3pDownGRK6Cartilage tissueknee joint, hip jointOA cell modelcartilage degradation, Inflammation Duan et al. (2019a)
miR-221-3pDownSDF1/CXCR4Cartilage tissueknee jointOA cell modelcartilage degradation Zheng et al. (2017)
miR-502-5pDownTRAF2Cartilage tissueknee joint, hip jointOA cell modelcartilage degradation, Inflammation Zhang et al. (2016b)
miR-31DownCXCL12Cartilage tissue——OA cell modelApoptosis Dai et al. (2019)
miR-488DownZIP-8Cartilage tissueknee jointOA mouse modelcartilage degradation Song et al. (2013)
miR-125bDownADAMTS-4Cartilage tissueknee jointOA cell model—— Matsukawa et al. (2013)
miR-181cDownNEAT1Synovial fluid——OA cell modelApoptosis, Inflammation Wang et al. (2017d)
miR-615-3pDown——bone marrow——OA rat modelInflammation Zhou et al. (2018a)
miR-211-5pDownFibulin-4Cartilage tissue——OA rat modelcartilage degradation, Inflammation Liu and Luo, (2019)
miR-19aDownSOX9Cartilage tissueknee jointOA cell modelApoptosis Yu and Wang, (2018)
miR-503-5pDownSGK1Cartilage tissueknee jointOA rat modelApoptosis, Inflammation Wang et al. (2021b)
miR-33DownCCL2Cartilage tissue——OA mouse modelInflammation Wei et al. (2016)
miR-27DownLeptinCartilage tissue——OA rat modelInflammation Zhou et al. (2017)
miR-186DownSPP1Cartilage tissue——OA mouse modelApoptosis Lin et al. (2019)
miR-149DownTAK1Cartilage tissue——OA cell modelInflammation Chen et al. (2018a)
miR-204-5pDownRunx2Cartilage tissueknee jointOA rat modelApoptosis Cao et al. (2018a)
miR-128-3pDownWISP1Cartilage tissueknee jointOA cell modelApoptosis, cartilage degradation, Inflammation Chen and Li, (2020)
miR-320Down MMP-13 Cartilage tissue——OA mouse modelInflammation Meng et al. (2016)
miR-558DownCOX-2Cartilage tissueknee jointOA cell modelInflammation Park et al. (2013)
miR-634DownPIK3R1Cartilage tissue——OA cell modelcartilage degradation Cui et al. (2016)
miR-24DownC-mycCartilage tissueknee jointOA rat modelApoptosis Wu et al. (2018b)
miR-365DownHIF-2αCartilage tissueknee jointOA cell modelApoptosis Hwang et al. (2017)
miR-126-3pDown——Synovial fluidknee jointOA rat modelcartilage degradation, Inflammation Zhou et al. (2021d)
miR-520c-3pDownGAS2Cartilage tissuehip jointOA cell modelApoptosis, cartilage degradation Peng et al. (2021)
miR-1207-5pDownCX3CR1Cartilage tissue——OA cell modelApoptosis, cartilage degradation Liu et al. (2020b)
miR-152DownTCF-4Cartilage tissueknee joint, hip jointOA rat modelApoptosis Wan et al. (2020)
miR-296-5pDownTGF-βCartilage tissueknee jointOA cell modelApoptosis, cartilage degradation Cao et al. (2020)
miR-373DownP2X7RCartilage tissue, Blood——OA cell modelcartilage degradation, Inflammation Zhang et al. (2018e)
miR-25-3pDownIGFBP7Cartilage tissue——OA rat modelApoptosis He and Deng, (2021)
miR-95-5pDownHDAC2, HDAC8Bone marrow, Cartilage tissue——OA cell modelcartilage degradation Mao et al. (2018a)
miR-181aDownGPD1LCartilage tissueknee jointOA cell modelApoptosis Zhai et al. (2017)
miR-411DownHIF-1αCartilage tissue——OA cell modelautophagy Yang et al. (2020b)
miR-98DownBcl-2Cartilage tissue——OA mouse modelApoptosis Wang et al. (2017c)
DownBcl-2Cartilage tissue——OA rat modelcartilage degradation、Apoptosis Wang et al. (2016b)
Down——Cartilage tissueknee jointOA rat modelApoptosis Wang et al. (2016a)
miR-125b-5pDownTRAF6Cartilage tissueknee joint, hip jointOA cell modelInflammation Rasheed et al. (2019)
miR-27aDownTLR4Cartilage tissueknee joint, hip jointOA rat modelcartilage degradation、Inflammation Qiu et al. (2019)
DownNF-κBCartilage tissueknee jointOA rabbit modelApoptosis, Inflammation Zhang et al. (2019c)
DownPLK2Cartilage tissueknee jointOA rat modelApoptosis Liu et al. (2019c)
miR-15a-5pDownPTHrPCartilage tissueknee jointOA cell modelApoptosis Duan et al. (2019b)
miR-9-5pDownTncCartilage tissueknee joint, hip jointOA mouse modelApoptosis Chen et al. (2019a)
miR-145DownBNIP3Cartilage tissueknee jointOA mouse modelApoptosis Wang et al. (2020c)
miR-145DownMKK4Cartilage tissue——OA rat modelcartilage degradation Hu et al. (2017)
miR-145DownTNFRSF11BCartilage tissueknee jointOA cell modelApoptosis Wang et al. (2017a)

Abbreviations: SPHK1, sphingosine kinase-1; SOX9, SRY-Box 9; DLL1, delta-like protein 1; SIRT1, silent information regulator 1; SMAD2, SMAD, family member 2; PTHLH, parathyroid hormone-like hormone; Wnt5a, wnt family member 5A; PGRN, progranulin; MAP, 1B, microtubule associated protein 1B; Gpc1, glypican 1; Ppp3r2, calcineurin B, type II, protein phosphatase 3; TXNIP, thioredoxin-interacting protein; A2M, alpha-2-macroglobulin; KDM4B, lysine demethylase 4B; Matn3, cartilage matrix protein matrilin 3; Timp2, tissue inhibitor of metalloproteinase 2; PTHrP, parathyroid hormone-related protein; MCL-1, myeloid cell leukemia-1; GDF-5, growth differentiation factor 5; FGF18, fibroblast growth factor 18; GDF5, growth differentiation factor 5; SYVN1, synoviolin 1; CX43, connexin 43; TLR4, toll-like receptor 4; TCF4, transcription factor 4; HDAC2, histone deacetylase 2; ADAMTS-4, aggrecanase-1; TRAF3, TNF, receptorassociated factor 3; UBE2D1, ubiquitin-conjugating enzyme 2D1; FZD4, frizzled class receptor 4; MMP-13, matrix metalloproteinase-13; FUT1, fucosyltransferase 1; DNMT3A, DNA, methyltransferase 3A; DR6, death receptor 6; GNG5, G-protein subunit g 5; HDAC7, histone deacetylase 7; HDAC3, histone deacetylase 3; ELF3, E74-like factor 3; TRAF2, TNF, receptorassociated factor 2; SPP1, phosphoprotein 1; COX-2, cyclooxygenase-2; HIF-2α, hypoxia-inducible factor-2α; GAS2, Growth arrest-specific 2; P2X7R, P2X7 receptor; IGFBP7, insulin-like growth factor-binding protein 7; HIF-1α, hypoxia-inducible factor 1 alpha; Bcl-2, B-cell lymphoma 2; PLK2, polo-like kinase 2.

Functional characterization of the miRNAs in OA. Abbreviations: SPHK1, sphingosine kinase-1; SOX9, SRY-Box 9; DLL1, delta-like protein 1; SIRT1, silent information regulator 1; SMAD2, SMAD, family member 2; PTHLH, parathyroid hormone-like hormone; Wnt5a, wnt family member 5A; PGRN, progranulin; MAP, 1B, microtubule associated protein 1B; Gpc1, glypican 1; Ppp3r2, calcineurin B, type II, protein phosphatase 3; TXNIP, thioredoxin-interacting protein; A2M, alpha-2-macroglobulin; KDM4B, lysine demethylase 4B; Matn3, cartilage matrix protein matrilin 3; Timp2, tissue inhibitor of metalloproteinase 2; PTHrP, parathyroid hormone-related protein; MCL-1, myeloid cell leukemia-1; GDF-5, growth differentiation factor 5; FGF18, fibroblast growth factor 18; GDF5, growth differentiation factor 5; SYVN1, synoviolin 1; CX43, connexin 43; TLR4, toll-like receptor 4; TCF4, transcription factor 4; HDAC2, histone deacetylase 2; ADAMTS-4, aggrecanase-1; TRAF3, TNF, receptorassociated factor 3; UBE2D1, ubiquitin-conjugating enzyme 2D1; FZD4, frizzled class receptor 4; MMP-13, matrix metalloproteinase-13; FUT1, fucosyltransferase 1; DNMT3A, DNA, methyltransferase 3A; DR6, death receptor 6; GNG5, G-protein subunit g 5; HDAC7, histone deacetylase 7; HDAC3, histone deacetylase 3; ELF3, E74-like factor 3; TRAF2, TNF, receptorassociated factor 2; SPP1, phosphoprotein 1; COX-2, cyclooxygenase-2; HIF-2α, hypoxia-inducible factor-2α; GAS2, Growth arrest-specific 2; P2X7R, P2X7 receptor; IGFBP7, insulin-like growth factor-binding protein 7; HIF-1α, hypoxia-inducible factor 1 alpha; Bcl-2, B-cell lymphoma 2; PLK2, polo-like kinase 2.

lncRNAs and OA

lncRNAs are ncRNAs with a length of more than 200 nucleotides that have little or no protein-coding potential, and account for more than 80% of total lncRNAs(Ponting et al., 2009). At first, lncRNA was considered the “noise” of genome transcription, with no biological function, and its mechanism of action was only in situ regulation, through recruitment and formation of chromatin modification complexes [such as IGF2RRNA antisense (AIR), XIST] to silence the transcription of neighboring genes. As more detection techniques were applied to RNA studies, such as microarray, RNA sequencing (RNA-seq), Northern blot, and real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) (Zhu et al., 2013), more biological functions of lncRNAs gradually being discovered. Recent studies have discovered several mechanisms of action of lncRNA, which can interact with proteins, DNA, and RNA to regulate many biological processes (Zhu et al., 2013). For example, lncRNA MALAT1 acts on miR-150-5P and AKT3 to regulate cell proliferation and apoptosis (Zhang et al., 2019g), thus participating in the growth and development of the body and the pathological process of diseases (Kopp and Mendell, 2018) (Figure 2).
FIGURE 2

Role of lncRNAs: 1. Epigenetic regulation: (A). lncRNA recruits chromatin remodeling and modification complexes to specific sites; regulates DNA or RNA methylation status, chromosome structure; and promotes the expression of related genes.2. Transcriptional regulation: (B). lncRNA can help generate mature mRNA by promoting the binding of pre-mRNA to alternative splicing factors; (C). ncRNA binding with transcription factors can inhibit the activity of target genes and inhibit their gene expression. 3. Post-transcriptional regulation: (D). Participation in mRNA translation; (E). Involvement in mRNA degradation. 4. Regulation of miRNA: (F). ncRNA can act as sponges of miR-compete for miR and alleviate the inhibition of target genes.

Role of lncRNAs: 1. Epigenetic regulation: (A). lncRNA recruits chromatin remodeling and modification complexes to specific sites; regulates DNA or RNA methylation status, chromosome structure; and promotes the expression of related genes.2. Transcriptional regulation: (B). lncRNA can help generate mature mRNA by promoting the binding of pre-mRNA to alternative splicing factors; (C). ncRNA binding with transcription factors can inhibit the activity of target genes and inhibit their gene expression. 3. Post-transcriptional regulation: (D). Participation in mRNA translation; (E). Involvement in mRNA degradation. 4. Regulation of miRNA: (F). ncRNA can act as sponges of miR-compete for miR and alleviate the inhibition of target genes. lncRNA is closely related to cell growth, differentiation, and senescence. In addition, lncRNA has a special relationship with some human diseases, such as cardiovascular diseases (Huang, 2018), nervous system diseases (Zhang et al., 2019f), and immune-mediated diseases (Zhou et al., 2018b). In the recently updated database of lncRNA-related diseases, more than 200,000 lncRNAs have been recorded in their association with diseases (Bao et al., 2019). lncRNA can regulate chondrocyte proliferation and apoptosis, inflammatory response, and extracellular matrix degradation, and promote the repair and stability of articular cartilage. Recent studies have shown an essential relationship between some changes or disorders of lncRNAs and the occurrence and development of OA. There are many studies to detect the expression of lncRNA in OA patients. Yang et al. (2021a) examined the lncRNA profiles of patients with OA and healthy individuals by RNA sequencing. They found that 25 lncRNAs are differentially expressed in patients with OA compared with the control group. Through microarray analysis, Xing et al. (2014) detected the expression of lncRNA in KOA cartilage and normal cartilage and further verified it by real-time polymerase chain reaction (RT-PCR). They found that the expression of 121 lncRNAs in KOA is different from normal cartilage: 73 up-regulated lncRNAs and 48 down-regulated lncRNAs. Among the up-regulated lncRNAs, HOTAIR is the most up-regulated. Pearson et al. (2016) separated OA chondrocytes through collagenase digestion and analyzed lncRNA expression through RNA sequencing (RNAseq) and qPCR. Finally, 983 lncRNAs were identified in OA chondrocytes. A total of 125 differentially expressed lncRNAs were identified after interleukin-1B (IL-1B) stimulation. Through microarray and qPCR analysis, Liu et al. (2014b) compared the expression of lncRNA in OA cartilage and normal cartilage, and found 152 differentially expressed lncRNAs in OA cartilage. Compared with normal cartilage, 82 increased lncRNAs and 70 decreased lncRNAs were in OA cartilage. Using mRNA and lncRNA microarray analysis, Zhang et al. (2020a) found that 990 lncRNAs were different in OA chondrocytes compared with the control group: 666 up-regulated, 324 down-regulated. In addition, 546 mRNAs had a different expression: 419 up-regulated, 127 down-regulated. Six lncRNAs (ENST00000606283.1, ENST00000436872.1, ENST00000488584.1, ENST00000603682.1, XR-245446.2, and ENST00000605586.1) were tested by qPCR. The results were consistent with the test results. In summary, through the detection of lncRNA expression levels in the chondrocytes of OA patients and healthy individuals, we can finally find that there are differences in the expression of a variety of lncRNAs. In addition to the lncRNAs of appeal, several lncRNAs are closely related to the progress of OA, as shown in Table 2.
TABLE 2

Functional characterization of the lncRNAs in OA.

lncRNAExpressionTarget genesRelated genesTissue/cell sourceRegionModelFunctionsReference
ANRILUpmiRNA-122-5pDUSP4Cartilage tissue, synoviocytesknee jointOA cell modelCell proliferation and apoptosis Li et al. (2019e)
CASC2Up——IL-17Blood, Synovial fluid, chondrocyte——OA cell modelCell proliferation and apoptosis Huang et al. (2019d)
CIRUp————Cartilage tissuehip jointOA rat modelCell autophagy Wang et al. (2018a)
UpmiR-130aBimCartilage tissueknee jointOA cell modelCell proliferation and apoptosis Lu et al. (2018)
UpmiR-27b——Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Li et al. (2017b)
HOTAIRUp——MMPCartilage tissue, Synovial fluidtemporomandibularOA rabbit modelCell proliferation and apoptosis Zhang et al. (2016a)
Up——WIF-1SW1353 cellsknee jointOA cell modelDegradation of extracellular matrix Yang et al. (2020c)
Up————Synovial fluid, Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Liang et al. (2021)
Up————Synovial tissueknee joint0A rat modelCell proliferation and apoptosis, inflammation Mao et al. (2019b)
UpmiR-20bPTENCartilage tissueknee jointOA mouse modelCell proliferation and apoptosis, Degradation of extracellular matrix Chen et al. (2020f)
UpmiR-130a-3p——Cartilage tissue——OA human modelCell proliferation and apoptosis, Cell autophagy He and Jiang, (2020)
UpmiR-17-5pFUT2Cartilage tissueknee joint0A rat modelCell proliferation and apoptosis, Degradation of extracellular matrix Hu et al. (2018b)
LOC101928134Up——IFNA1Synovial fluid, Cartilage tissueknee joint0A rat modelCell proliferation and apoptosis, Degradation of extracellular matrix Yang et al. (2019a)
LINC00671Up——Smurf2Cartilage tissueknee jointOA mouse modelDegradation of extracellular matrix Chen and Xu, (2021)
TM1P3Up————Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Li et al. (2019g)
GAS5UpmiR-144mTORCartilage tissueknee joint0A rat modelCell proliferation and apoptosis Ji et al. (2021)
UpmiR-137——Blood, cartilage tissues——OA cell modelCell proliferation and apoptosis Gao et al. (2020)
UpmiR-21——Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Song et al. (2014)
SAMD14-4Up——COL1A1, COL1A2Cartilage tissueknee jointOA cell modelinflammation Zhang et al. (2019d)
KLF3-AS1UpmiR-206GIT1Cartilage tissueknee jointOA mouse modelCell proliferation and apoptosis Liu et al. (2018)
CTBP1-AS2UpmiR-130a——Cartilage tissue, Synovial fluidknee join、hip joinOA cell modelCell proliferation and apoptosis Zhang et al. (2020d)
H19UpmiR-140-5p——Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Yang et al. (2020a)
UpmiR-675——Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Steck et al. (2012)
UpmiR-106b-5pTIMP2Cartilage tissue, Synovial fluidknee jointOA cell modelDegradation of extracellular matrix Tan et al. (2020)
UpmiR-29a-3pFOSAstrocytes——OA rat modelinflammation Yang et al. (2021b)
PART1UpmiR-373-3pSOX4Cartilage tissue——OA cell modelCell proliferation and apoptosis, Degradation of extracellular matrix Zhu and Jiang, (2019)
LOXL1-AS1UpmiR-423-5pKDM5CCartilage tissueknee join, hip joinOA cell modelCell proliferation and apoptosis Chen et al. (2020c)
MALAT1UpmiR-145ADAMTS5Cartilage tissue——OA cell modelDegradation of extracellular matrix Liu et al. (2019a)
UpmiR-146a-PI3K——Cartilage tissue——OA rat modelDegradation of extracellular matrix Li et al. (2020d)
TUG1UpmiR-195MMP-13Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Tang et al. (2018b)
UpmiR-320cMMP-13Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix, Cell proliferation and apoptosis Han and Liu, (2021)
XISTUpmiR-211CXCR4Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Li et al. (2018b)
UpmiR-149-5pDNMT3ACartilage tissueknee jointOA cell modelDegradation of extracellular matrix Liu et al. (2020c)
UpmiR-1277-5p——Cartilage tissueknee join, hip joinOA rat modelDegradation of extracellular matrix Wang et al. (2019d)
FOXD2-AS1UpmiR-27a-3pTLR4Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Wang et al. (2019f)
UpmiR-206CCND1Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Cao et al. (2018b)
NEAT1UpmiR-543PLA2G4ACartilage tissueknee jointOA cell modelCell proliferation and apoptosis Xiao et al. (2021)
UpmiR-16-5p——ATDC5knee jointOA cell modelCell proliferation and apoptosis Li et al. (2020a)
UpmiR-193a-3pSOX5Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Liu et al. (2020a)
IGHCγ1UpmiR-6891-3pTLR4PBMCs——OA cell modelinflammation Zhang et al. (2020g)
LINC00511UpmiR-150-5pSP1ATDC5——OA cell modelCell proliferation and apoptosis Zhang et al. (2020m)
PVT1UpmiR-488-3p——Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Li et al. (2017c)
UpmiR-27b-3pTRAF3Cartilage tissue——OA cell modelinflammation Lu et al. (2020)
UpmiR-26b——Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Ding et al. (2020)
UpmiR-149——Cartilage tissueknee jointOA cell modelinflammation Zhao et al. (2018)
UpmiR-211-3p——SW982 cells, Chondrocytes——OA rat modelCell proliferation and apoptosis Xu et al. (2020)
CASC19UpmiR-152-3pDDX6Cartilage tissue——OA cell modelinflammation Zhou et al. (2021a)
CHRFUpmiR-146a——ATDC5——OA cell modelinflammation Yu et al. (2019a)
HOTTIPUpmiR-663a——Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis He et al. (2021b)
UpmiR-455-3pCCL3Chondrocytes, Bone marrowknee join, hip joinOA cell modelDegradation of extracellular matrix Mao et al. (2019a)
DANCRUpmiR-216a-5pJAK2, STAT3Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Zhang et al. (2018b)
UpmiR-1275MMP-13SFMSCs, Synovial fluid——OA cell modelCell proliferation and apoptosis Fang et al. (2019)
UpmiR-577——Cartilage tissueknee join, hip joinOA cell modelCell proliferation and apoptosis Fan et al. (2018)
TNFSF10UpmiR-376-3pFGFR1Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Huang et al. (2019a)
ARFRP1UpmiR-15a-5pTLR4Cartilage tissueknee jointOA cell modelinflammation Zhang et al. (2020b)
LINC00461UpmiR-30a-5p——Cartilage tissue——OA cell modelCell proliferation and apoptosis Zhang et al. (2020n)
BLACAT1UpmiR-142-5p——BMSCs, Bone marrow——OA rat modelCell proliferation and apoptosis Ji et al. (2020)
MCM3AP-AS1UpmiR-1423pHMGB1Synovial fluid, chondrocyteknee join, hip joinOA cell modelCell proliferation and apoptosis Gao et al. (2019b)
MCM3AP-AS1DownmiR-138-5pSIRT1Cartilage tissueknee jointOA cell modelinflammation Shi et al. (2021a)
PCAT-1UpmiR-27b-3p——Cartilage tissueknee join, hip joinOA cell modelCell proliferation and apoptosis Zhou et al. (2021c)
PMS2L2UpmiR-203——ATDC5——OA cell modelinflammation Li et al. (2019f)
LINC01534UpmiR-140-5p——Cartilage tissueknee jointOA cell modelinflammation Wei et al. (2019)
MIR22HGUpmiR-9-3pADAMTS5Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Long et al. (2021)
PCGEM1UpmiR-770——Synovial fluid——OA mouse modelCell proliferation and apoptosis Kang et al. (2016b)
DILCDown——IL-6Blood, Synovial fluid——OA cell modelinflammation Huang et al. (2019b)
PACERDown——HOTAIRBlood——OA cell modelCell proliferation and apoptosis Jiang et al. (2019)
MIR4435-2HGDown————Blood, Synovial fluidknee jointOA cell modelCell proliferation and apoptosis Xiao et al. (2019b)
HAND2-AS1Down——IL-6Blood, Synovial fluidknee jointOA cell modelinflammation Si et al. (2021)
ANCRDown——TGF-β1Blood——OA cell modelCell proliferation and apoptosis Li et al. (2019c)
RORDown————Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Yang et al. (2018c)
FAS-AS1Down————Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Zhu et al. (2018)
lncRNA-NR024118Down————ATDC5——OA mouse modelinflammation Mei et al. (2019)
FER1L4Down——IL-6Blood, Synovial fluid——OA cell modelinflammation He et al. (2021a)
ZFAS1Down————Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Ye et al. (2018)
MEG3Down——VEGFCartilage tissueknee jointOA cell modelDegradation of extracellular matrix Su et al. (2015)
Down——TRIB2Synovial fluidknee jointOA cell modelCell proliferation and apoptosis You et al. (2019)
DownmiR-361-5pFOXO1Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Wang et al. (2019a)
DownmiR-16SMAD7Cartilage tissue——OA rat modelCell proliferation and apoptosis Xu and Xu, (2017)
DownmiR-93TGFBR2Cartilage tissueknee jointOA rat modelDegradation of extracellular matrix Chen et al. (2019b)
MALAT-1Down————Cartilage tissueknee jointOA rat modelCell proliferation and apoptosis Gao et al. (2019a)
SNHG7DownmiR-34a-5pSYVN1Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Tian et al. (2020)
DownmiR-214-5pPPARGC1BCartilage tissueknee jointOA cell modelinflammation Xu et al. (2021)
SNHG9DownmiR-34a——Cartilage tissue, Synovial fluidknee jointOA cell modelCell proliferation and apoptosis Zhang et al. (2020e)
NKILADownmiR-145SP1Cartilage tissue——OA cell modelCell proliferation and apoptosis Xue et al. (2020)
SNHG5DownmiR-10a-5pH3F3BCartilage tissueknee jointOA cell modelCell proliferation and apoptosis Jiang et al. (2020a)
DownmiR-26aSOX2Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Shen et al. (2018)
PART-1DownmiR-590-3pTGFBR2/Smad3Cartilage tissueknee join, hip joinOA cell modelCell proliferation and apoptosis Lu et al. (2019)
OIP5-AS1DownmiR-29b-3pPGRNCartilage tissueknee jointOA cell modelinflammation Zhi et al. (2020)
DownmiR-30a-5p——Cartilage tissue——OA cell modelCell proliferation and apoptosis Qin et al. (2021)
DNM3OSDownmiR-126CHON-001Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis
LINC00623DownmiR-101HRASCartilage tissueknee jointOA cell modelCell proliferation and apoptosis Lü et al. (2020)
ATBDownmiR-223——ATDC5——OA mouse modelinflammation Ying et al. (2019)
HOTAIRM1-1DownmiR-125bBMPR2Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Xiao et al. (2019c)
HULCDownmiR-101——Cartilage tissueknee jointOA cell modelinflammation Chu et al. (2019)
SNHG15DownmiR-141-3pBCL2L13Cartilage tissueknee jointOA rat modelCell proliferation and apoptosis Zhang et al. (2020k)
LINC00662DownmiR-15b-5pGPR120Cartilage tissueknee jointOA rat modelinflammation Lu and Zhou, (2020)
LUADT1DownmiR-34aSIRT1Synovial fluid, chondrocytesknee join, hip joinOA cell modelCell proliferation and apoptosis Ni et al. (2020b)
UFC1DownmiR-34a——Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Zhang et al. (2016c)

Abbreviations: PBMCs, peripheral blood mononuclear cells; MMP, metalloproteinases; WIF-1, Wnt inhibitory factor 1; FUT2, fucosyltransferase 2; KDM5C, lysine demethylase 5C; DNMT3A, DNA, methyltransferase 3A; SIRT1, silent information regulator-1; TRIB2, Tribbles homolog 2; TGFBR2, transforming growth factor β receptor type II; KLF4, Krüppel-like factor 4; PPARGC1B, PPARG, coactivator 1 beta; H3F3B, H3 histone family 3B; Smad3, SMAD, family member 3; PGRN=progranulin; DNM3OS, dynamin 3 opposite strand; HRAS, Harvey rat sarcoma viral oncogene homolog; BMPR2, bone morphogenetic protein receptor 2.

Functional characterization of the lncRNAs in OA. Abbreviations: PBMCs, peripheral blood mononuclear cells; MMP, metalloproteinases; WIF-1, Wnt inhibitory factor 1; FUT2, fucosyltransferase 2; KDM5C, lysine demethylase 5C; DNMT3A, DNA, methyltransferase 3A; SIRT1, silent information regulator-1; TRIB2, Tribbles homolog 2; TGFBR2, transforming growth factor β receptor type II; KLF4, Krüppel-like factor 4; PPARGC1B, PPARG, coactivator 1 beta; H3F3B, H3 histone family 3B; Smad3, SMAD, family member 3; PGRN=progranulin; DNM3OS, dynamin 3 opposite strand; HRAS, Harvey rat sarcoma viral oncogene homolog; BMPR2, bone morphogenetic protein receptor 2.

circRNA and OA

The circRNA molecule is in a closed-loop structure and is not affected by RNA exonuclease. They are mainly in the cytoplasm or stored in exosomes. They are stable and not easily degradable, and widely exist in many eukaryotes. circRNAs are formed by reverse splicing through nonclassical splicing. One model believes that in the transcription of pre-RNA, due to the partial folding of RNA, the originally nonadjacent exons are pulled closer, and exon jumping occurs, resulting in the formation of circular RNA intermediates in the region to be crossed. Moreover, ring RNA molecules composed of exons are formed by lasso splicing. Another model suggests that the reverse complementary sequence located in the intron region leads to intron region pairing mediated reverse splicing, resulting in the formation of circular RNA molecules (Chen and Yang, 2015). To date, the biological functions of circRNAs that have been discovered mainly include interactions with miRNAs(Cao et al., 2019a), binding of regulatory proteins (Zang et al., 2020), transcription of regulatory genes (Zhang, 2020), and coding functions (Lei et al., 2020) (Figure 3). For example, circRNA.33186 increased MMP-13 expression by interacting with miR-127-5p to regulate cell proliferation and apoptosis (Zhou et al., 2019b).
FIGURE 3

Biological functions of circRNA: (A). Regulation of gene transcription: Elcircrna can interact with small nuclear ribonucleoproteins and bind to RNA polymerase II; (B). miRNA sponge: circRNA contains miRNA binding sites, which can block miRNA binding to mRNA and promote or inhibit the expression of related genes by sponging miRNA; (C). circRNAs bind to mRNA regulatory binding protein, which influences the stability of mRNA, and may change the splicing pattern of circRNA; (D). By being translated by ribosomes and encoding polypeptides, several circRNAs can play a role in regulating and controlling human physiological processes.

Biological functions of circRNA: (A). Regulation of gene transcription: Elcircrna can interact with small nuclear ribonucleoproteins and bind to RNA polymerase II; (B). miRNA sponge: circRNA contains miRNA binding sites, which can block miRNA binding to mRNA and promote or inhibit the expression of related genes by sponging miRNA; (C). circRNAs bind to mRNA regulatory binding protein, which influences the stability of mRNA, and may change the splicing pattern of circRNA; (D). By being translated by ribosomes and encoding polypeptides, several circRNAs can play a role in regulating and controlling human physiological processes. Bipartite Network Projection allocates resources according to the known associations between different miRNAs and diseases, entirely using the similarity information of miRNA and diseases to predict various conditions accurately (Chen et al., 2018b). KATZ Measure is a graph-based calculation method, which converts the calculation of the similarity between lncRNA and diseases into the problem of similarity calculation between nodes in heterogeneous networks to predict the correlation between lncRNA and conditions. The integration of the two can recognize the association of circRNA with the disease (Chen, 2015). Through Bipartite Network Projection and KATZ Measure (Zhao et al., 2019a), many circRNAs related to diseases have been discovered, and circRNAs are involved in the diagnosis and treatment of atherosclerosis (Zhang et al., 2018a), cancer (Li et al., 2020f), cardiac hyperplasia (Li et al., 2020e), and other diseases. There are many experimental studies related to circRNA and diseases, and the main research types are cell experiments or animal experiments. Through these experiments, we have found multiple action mechanisms of circRNA on various conditions. For example, circRNA_100367 acts as a signaling molecule that regulates esophageal squamous cell carcinoma through the Wnt3 signaling pathway (Liu et al., 2019b); circRNA_0016624 regulates gene-based expression of interest in osteoporosis patients via sponge miR-98 (Yang et al., 2020d); circRNA_100395 mitigates the progression of breast cancer by directly targeting MAPK6 (Yu et al., 2020). In addition, several circRNAs participate in the development of OA and the OA of the abnormal expression in various tissues. For example, Xiao et al. (2019a) used illumina sequencing platform to detect circRNA expression in patients with mild and severe KOA. In this paper, 197 differentially expressed circRNAs were identified. Among them, the up-regulation amplitude of Hg38_circ_0007474 is the largest, and the down-regulation amplitude of hg38_circ_0000118 is the largest. Further analysis of the three circRNAs selected from hsa_circ_0045714, hsa_circ_0005567, and hsa_circ_0002485 found that all three circRNAs can inhibit the function of the corresponding miRNA by serving as a sponge for miRNAs and indirectly promote its downstream process, thereby participating in the development of OA. Wang et al. (2019h) used microarray analysis to screen for circRNA expression in healthy and KOA articular cartilage. They found 1,380 circRNAs differentially expressed in the articular cartilage of knee joints of healthy individuals and patients with OA. Meanwhile, constructing a circRNA-miRNA network verified the ten most likely target genes related to circRNA. It was finally discovered that hsa_circ RNA_003231 might be involved in the occurrence and progression of OA. Zhou et al. (2018e) established OA models in interleukin-1β (IL1β)-treated mouse articular chondrocytes (MACs) to study the expression and function of circRNAs in OA using new sequencing methods and bioinformatic analysis. Compared with the control group, 255 circRNAs were differentially expressed in MACs treated with IL-1 β: 119 up-regulated, 136 down-regulated. Mmu-circRNA-30365 and Mmu-circRNA36866 were two substantially different circRNAs, and their specific expression changes in patients with OA and normal individuals were verified by QRT-PCR. Liu et al. (2016) analyzed circRNA expression between OA and normal cartilage samples by hierarchical clustering analysis and found that compared with normal cartilage, 71 circRNAs were differentially expressed (16 were increased, and 55 were decreased) in OA cartilage. In this study, we focused on the research of circRNA-CER. We found that this circRNA could compete with MMP13 for miR-136 and participate in the degradation of the extracellular matrix of chondrocytes. The above examples fully prove that the expression levels of circRNA in OA patients and healthy individuals are different, and these differentially expressed circRNA has a special relationship with the progression of OA. Several studies have reported the functions and mechanisms of several circRNAs in OA, but relevant studies are few. Zhou et al. (2018d) established rat OA models, predicted the function of circRNA_ATP9b in rat knee chondrocytes through bioinformatic analysis, and finally found that circRNA_ATP9b regulated the degradation of extracellular matrix through sponge miR-138-5p, thereby controlling the progression of OA. Moreover, circRNA_ATP9b expression was increased, and miR-138-5p expression was down-regulated in IL-1β-induced chondrocytes. circRNA_ATP9b regulated the expression of related genes by targeting miR-138-5p. Li et al. (2017a) analyzed the dual-luciferase reporter genes and found that the transcriptional activity of miR-193b can be inhibited by overexpression of hsa_circ_0045714. Overexpression of hsa_circ_0045714 can also up-regulate the expression of insulin-like growth factor 1 receptor (IGF1R) because IGF1R is a crucial target gene of miR-193b. It is associated with cell proliferation and apoptosis. Further studies on the progression of circRNA in OA are presented in Table 3.
TABLE 3

Functional characterization of the circRNAs in OA.

CircRNAExpressionTarget genesRelated genesTissue/cell sourceRegionModelFunctionsReference
CircVCANUp————Cartilage tissue——OA cell modelCell proliferation and apoptosis Ma et al. (2020)
hsa_circ_0000448Up————Synovial tissuesTemporomandibular jointOA cell modelDegradation of extracellular matrix Hu et al. (2019c)
hsa_circ_0037658Up————Cartilage tissue——OA cell modelCell autophagy Sui et al. (2021)
hsa_circ_0032131Up————Blood——OA cell modelCell proliferation and apoptosis Wang et al. (2019g)
UpmiR-502-5pPRDX3Cartilage tissue——OA rat modelCell proliferation and apoptosis Xu and Ma, (2021)
CircRNA.33186UpmiR-127-5p——Cartilage tissueknee jointOA mouse modelCell proliferation and apoptosis Zhou et al. (2019b)
CircRNA_0092516UpmiR-337-3pPTENCartilage tissueknee jointOA mouse modelCell proliferation and apoptosis Huang et al. (2021)
CircGCN1L1UpmiR-330-3pTNF-αSynovial fluidTemporomandibular jointOA rat modelCell proliferation and apoptosis Zhu et al. (2020)
CircRNA-UBE2G1UpmiR-373HIF-1aCartilage tissueknee jointOA cell modelCell proliferation and apoptosis Chen et al. (2020b)
CircRNA HIPK3UpmiR-124SOX8Cartilage tissue——OA cell modelCell proliferation and apoptosis Wu et al. (2020)
CircTMBIM6UpmiR-27aMMP13Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Bai et al. (2020b)
CircPSM3UpmiRNA-296-5p——Cartilage tissue——OA cell modelCell proliferation and apoptosis Ni et al. (2020a)
hsa_circ_0005105UpmiR-26aNAMPTCartilage tissue——OA cell modelDegradation of extracellular matrix Wu et al. (2017c)
CircRNA-CDR1asUpmiRNA-641——Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Zhang et al. (2020j)
CircRNA Atp9bUpmiR-138-5p——Cartilage tissueknee jointOA mouse modelDegradation of extracellular matrix Zhou et al. (2018d)
Circ_0116061UpmiR-200b-3pSMURF2Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis, inflammation Zheng et al. (2021)
Circ-BRWD1UpmiR-1277TRAF6Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis, Degradation of extracellular matrix, inflammation Guo et al. (2021)
Circ-SPG11UpmiR-337-3pADAMTS5Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis, Degradation of extracellular matrix, inflammation Liu et al. (2021b)
Circ_SLC39A8UpmiR-591IRAK3Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis, Degradation of extracellular matrix, inflammation Yu et al. (2021)
Circ-PRKCHUpmiR-140-3pADAM10Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Zhao et al. (2021)
CircCDH13UpmiR-296-3pPTENCartilage tissuehip jointOA mouse modelCell proliferation and apoptosis, Degradation of extracellular matrix Zhou et al. (2021e)
Circ-IQGAP1UpmiR-671-5pTCF4Cartilage tissueknee joint, hip jointOA cell modelCell proliferation and apoptosis, Degradation of extracellular matrix, inflammation Xi et al. (2021)
Circ_0136,474UpmiR-127-5pMMP-13Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Li et al. (2019i)
Circ_RUNX2Up——RUNX2Blood——OA cell modelDegradation of extracellular matrix Wang et al. (2021a)
CircRSU1UpmiR-93-5pMAP3K8Cartilage tissueknee jointOA mouse modelDegradation of extracellular matrix Yang et al. (2021c)
CircRNA3503Down————Synovial fluid——OA cell modelDegradation of extracellular matrix Tao et al. (2021)
CircPDE4BDown——RIC8A, MID1Cartilage tissue——OA mouse modelDegradation of extracellular matrix Shen et al. (2021)
CircSERPINE2DownmiR-1271——Cartilage tissue——OA cell modelDegradation of extracellular matrix, Cell proliferation and apoptosis Shen et al. (2019)
DownmiR-495TGFBR2Cartilage tissueknee jointOA cell modelCell proliferation and apoptosis Zhang et al. (2020h)
CiRS-7DownmiR-7——Cartilage tissue——OA rat modelInflammation Zhou et al. (2020a)
DownmiR-7——Blood——OA cell modelCell proliferation and apoptosis Zhou et al. (2019a)
CircCDK14DownmiR-125a-5pSmad2Cartilage tissueknee joint0A rabbit modelCell proliferation and apoptosis Shen et al. (2020a)
CircPDE4DDownmiR-103a-3pFGF18Cartilage tissueknee jointOA mouse modelDegradation of extracellular matrix Wu et al. (2021b)
CircRNA_0001236DownmiR-3677-3pSox9Bone marrow, Cartilage tissue——OA mouse modelDegradation of extracellular matrix Mao et al. (2021b)
CircRNA-9119DownmiRNA-26aPTENCartilage tissue——OA cell modelCell proliferation and apoptosis Chen et al. (2020a)
Hsa_circ_0005567DownmiR-495ATG14Cartilage tissue——OA cell modelCell autophagy and apoptosis Zhang et al. (2020f)
CircRNA-CERUpMiR-136MMP13——knee jointOA cell modelDegradation of extracellular matrix Liu et al. (2016)
CircHYBIDDownhsa-miR-29b-3pTGF-β1Cartilage tissueknee jointOA cell modelDegradation of extracellular matrix Liao et al. (2021)
CircADAMTS6DownmiR-431-5p——Cartilage tissue——OA cell modelCell proliferation and apoptosis Fu et al. (2021)
Hsa_circ_0045714DownmiR-193bIGF1RCartilage tissueknee jointOA cell modelCell proliferation and apoptosis Li et al. (2017a)
Circ_0020093DownmiR-23bSPRY1Cartilage tissue——OA cell modelDegradation of extracellular matrix Feng et al. (2021)
CircANKRD36DownmiR-599Casz1Cartilage tissue——OA cell modelCell proliferation and apoptosis Zhou et al. (2021b)
CircSLC7A2DownmiR-4498TIMP3Cartilage tissue——OA mouse modelDegradation of extracellular matrix, Cell proliferation and apoptosis, inflammation Ni et al. (2021)

Abbreviations: TNF-α, tumor necrosis factor-α; LEF1, lymphoid enhancer-binding factor 1; NAMPT, nicotinamide phosphoribosyltransferase; SMURF2, Smad ubiquitin regulatory factor 2; TRAF6, TNF, receptorassociated factor 6; ADAM10, a-disintegrin and metallopeptidase domain 10; PTEN, phosphatase and tensin homolog; MID1, midline 1; TGFBR2, transforming growth factor-β receptor 2; SPRY1, sprouty 1.

Functional characterization of the circRNAs in OA. Abbreviations: TNF-α, tumor necrosis factor-α; LEF1, lymphoid enhancer-binding factor 1; NAMPT, nicotinamide phosphoribosyltransferase; SMURF2, Smad ubiquitin regulatory factor 2; TRAF6, TNF, receptorassociated factor 6; ADAM10, a-disintegrin and metallopeptidase domain 10; PTEN, phosphatase and tensin homolog; MID1, midline 1; TGFBR2, transforming growth factor-β receptor 2; SPRY1, sprouty 1.

Interactions Between lncRNAs, miRNAs and mRNAs in OA

Studies have shown that lncRNA–miRNA–mRNA axis plays a vital control effect in the progression of several diseases, such as cardiovascular disease and cancer (He et al., 2018; Wang et al., 2019c). The mechanisms of interaction of lncRNAs, miRNAs, and mRNAs in various diseases are as follows: 1) The structure of most lncRNAs is similar to mRNAs, and miRNAs binding to mRNAs can reduce the expression of lncRNAs. lncRNA and miRNA compete to bind the 3′-UTR of target gene mRNA, thereby indirectly inhibiting the interaction between miRNA and mRNA. For example, in Alzheimer’s disease, the post-transcriptional regulation of BACE1 involves miR-485-5p, and the specific antisense transcription of BACE1 forms lncRNA-BacE1-As, which compete with lncRNA-Bace1-As to bind to the binding sites of related mRNAs (Faghihi et al., 2010). 2) lncRNAs sponge miRNAs as competitive endogenous RNAs (ceRNAs). lncRNA molecules contain miRNA binding sites, which can bind to miRNA, inhibit the interaction between miRNA and mRNA, improve the expression level of related mRNA, and regulate the expression of target genes. For example, Zhang et al. (2020l) constructed a complete mRNA-LncRNA-miRNA ceRNA regulatory network; lncRNAs ENST00000326237.3, ENST00000399702.5, and ENST00000463727.1 were found to regulate related genes through competitive binding of the same miRNA has-miR-1260a. Kong et al. (2019) demonstrated that lncRNA—CDC6 can further regulate CDC6 expression through direct uptake of miR-215 as a ceRNA. Luan et al.(Luan and Wang, 2018) found that in cervical cancer, XLOC_006390 may act as ceRNA and bind with miR-331-3p and miR-338-3p, thus regulating the expression of genes related to cervical cancer. 3) miRNAs mediate the degradation of lncRNAs. For example, miRNA-150 is the target gene for lncRNA CASC11 in human plasma, and increased concentrations of miRNA-150 decrease the activity of lncRNA CASC11(Luo et al., 2019b). 4) lncRNAs act as miRNAs precursors. For example, Tao et al. (2017) found that miR-869a and miR-160c could be clipped from lncRNAs npc83 and npc521. However, in OA, lncRNA mainly binds to miRNA as a competitive endogenous RNA (ceRNA), inhibiting its target genes’ expression and regulating OA’s progression by regulating cell proliferation, apoptosis, autophagy and extracellular matrix (ECM) degradation (Figure 4).
FIGURE 4

lncRNA–miRNA–mRNA axis in OA. lncRNA can combine with miRNA to promote the expression of related target genes. PTEN = phosphatase and tensin homolog; FUT2 = fucosyltransferase 2; Timp2 = tissue inhibitor of metalloproteinase 2; KDM5C = lysine demethylase 5C; DNMT3A = DNA methyltransferase 3A; TLR4 = toll-like receptor 4; CCND1 = cyclin D1; KLF4 = Krüppel-like factor 4; SYVN1 = synoviolin 1; PPARGC1B = PPARG coactivator 1 beta; H3F3B = H3 histone family 3B; PGRN = progranulin; DNM3OS = dynamin 3 opposite strand; BMPR2 = bone morphogenetic protein receptor 2.

lncRNA–miRNA–mRNA axis in OA. lncRNA can combine with miRNA to promote the expression of related target genes. PTEN = phosphatase and tensin homolog; FUT2 = fucosyltransferase 2; Timp2 = tissue inhibitor of metalloproteinase 2; KDM5C = lysine demethylase 5C; DNMT3A = DNA methyltransferase 3A; TLR4 = toll-like receptor 4; CCND1 = cyclin D1; KLF4 = Krüppel-like factor 4; SYVN1 = synoviolin 1; PPARGC1B = PPARG coactivator 1 beta; H3F3B = H3 histone family 3B; PGRN = progranulin; DNM3OS = dynamin 3 opposite strand; BMPR2 = bone morphogenetic protein receptor 2. There are many examples where lncRNA functions as a binding of ceRNA to miRNA in OA. For example, Zhang et al. (2020m) took IL -1β-induced OA chondrocytes as the research object to study the molecular mechanism of LINC00511 in regulating OA. The study found that the expression of LINC00511 was up-regulated, and the lncRNA could be used as a sponge of miR-150-5p and combined with 3′-UTR of transcription factor inhibit the proliferation of chondrocytes, promote apoptosis and degradation of ECM, and finally regulate OA. Liu et al. (2018) established an OA chondrocyte model induced by IL -1β and an OA mouse model caused by collagenase. The experiments were performed in vivo and in vitro at two levels, and the cell state was examined by the CCK-8 method and flow cytometry. Studies have found that KLF3-AS1, as a ceRNA interacting with miR-206, promotes the expression of GIT1 and then promotes the proliferation of chondrocytes and inhibits apoptosis, ultimately alleviating the progression of OA. Likewise, Tian et al. (2020) studied the relationship between SNHG7, miR-34a-5p, and SYVN1 in human chondrocytes. It has been found that in OA tissues, SNHG7 is down-regulated, and SNHG7 can regulate SYVN1 by sponging miR-34a-5p, thereby promoting cell proliferation and inhibiting apoptosis and autophagy. In addition, studies have found that lncRNA XIST is up-regulated in OA articular cartilage. Like a sponge, XIST regulates the target proteins miR-211, miR-17-5p, miR-149-5p, and miR-27b-3p, thereby promoting the proliferation and apoptosis of chondrocytes and finally inducing OA (Li et al., 2018b; Zhu et al., 2021). These results suggest that lncRNAs can act as miRNA sponges in the interaction of lncRNAs, miRNAs, and mRNA in OA.

Interactions Between circRNAs, miRNAs and mRNAs in OA

Currently, research on the mechanism of interactions between circRNAs, miRNAs, and mRNAs is growing (Peng et al., 2020). circRNAs and miRNAs are closely related to the expression of disease-related mRNAs, and interactions between circRNAs, miRNAs, and mRNAs may be involved in the pathological mechanism of OA (Figure 5). At present, research on the interaction mechanism of circRNAs, miRNAs, and mRNAs is not comprehensive. Relevant research has three main types: 1) circRNAs interact with miRNAs. miRNA interacts with mRNA to inhibit mRNA expression. circRNA molecules contain miRNA binding sites, which can sponge miRNA and release miRNA’s inhibitory effect on target genes. For example, Hansen et al. (2013) found that CiRS-7 could sponge miR-7, inhibit the binding of miR-7 and its target genes, and indirectly promote the expression of related mRNA. Other research suggests that hsa_circ_101237, like a sponge for miRNA490-3p, promotes the expression of its target gene MAPK1. In patients with lung cancer, hsa_circ_101237 expression is up-regulated, thereby promoting the proliferation, differentiation, and migration of lung cancer cells (Zhang et al., 2020o). 2) circRNA can regulate the splicing of pre-mRNA, thus affecting the production of protein. 3) circRNA can pair with targeted mRNA directly through local bases. As the circRNA molecule is rich in miRNA binding sites, the circ RNA molecule functions as a miRNA sponge in cells so that the inhibition effect of the miRNA on target genes can be released, and the expression level of the target genes is increased. Therefore, in OA, the interaction mechanism of circRNA, miRNA, and mRNA is mainly circRNA sponging miRNA (Kulcheski et al., 2016). Many circRNA expressions in OA have been changed, and OA is regulated by adsorbing a specific miRNA. For example, hsa_circ_0005567 is down-regulated in OA patients and, by competitively binding to miR-495, terminates Atg14 expression and eventually induces human chondrocyte apoptosis (Zhang et al., 2020f); hsa_circ_0032131 is up-regulated in the human body, and knocking out hsa_circ_0032131 inactivates the STAT3 signaling pathway by sponging miR-502-5p, thereby relieving symptoms of OA in the body (Xu and Ma, 2021); circPSM3 is up-regulated in OA chondrocytes, and its low expression promotes chondrogenesis and OA development. circPSM3 can inhibit OA chondrogenesis by sponging miRNA-296-5p (Ni et al., 2020a). All these results prove the mechanism of circRNA sponge miRNA in osteoarthritis.
FIGURE 5

circRNA–miRNA–mRNA axis in OA. circRNAs can combine with miRNAs to promote the expression of related target genes. (A) circRNAs that play a role in cell proliferation and apoptosis. (B) circRNAs that play a role in degradation of the extracellular matrix and apoptosis. (C) circRNAs that play a role in degradation of the extracellular matrix, cell proliferation, apoptosis, and inflammation. NAMPT = nicotinamide phosphoribosyltransferase; MMP13 = matrix metalloproteinase.

circRNA–miRNA–mRNA axis in OA. circRNAs can combine with miRNAs to promote the expression of related target genes. (A) circRNAs that play a role in cell proliferation and apoptosis. (B) circRNAs that play a role in degradation of the extracellular matrix and apoptosis. (C) circRNAs that play a role in degradation of the extracellular matrix, cell proliferation, apoptosis, and inflammation. NAMPT = nicotinamide phosphoribosyltransferase; MMP13 = matrix metalloproteinase. Other studies have found interactions between circRNA, miRNA, and mRNA. Shen et al. (2020a) established a rabbit model of OA and studied the role and mechanism of circCDK14 in OA by quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) and other methods. miR-125a-5p is a downstream target protein of circCDK14, while Smad2 is an mRNA target protein of circCDK14. The mechanism of action of circCDK14 in OA is to down-regulate the expression of Smad2 through the sponge action of miR-125a-5p, resulting in dysfunction of the TGF-β signaling pathway. Chen et al. (2020a) studied the expression and action mechanism of circRNA-9119 in OA patients using bioinformatics prediction and double luciferase reporter gene detection. They found that the expression of circRNA-9119 was down-regulated to provide a sponge effect on miR-26a. At the same time, miR-26a targeted the 3' -UTR of PTEN to promote cell proliferation and inhibit apoptosis. Their results all demonstrated the mechanism of the interaction between circRNAs, miRNAs, and mRNAs in OA.

Clinical Implications

At present, the incidence of OA is very high, and its pathogenesis is still unclear. Studying the specific pathological process and molecular pathway of OA is of great clinical significance (Duan et al., 2020). First, ncRNA can be used to diagnose OA. The expression of many ncRNAs between patients with OA and normal individuals have remarkable differences, which can be seen in humans and animals. For example, Huang et al. (2019c) showed that miRNA-204 and miRNA-211 are decreased in OA, resulting in Runx2 accumulation in multiple types of joint cells and elevated OA markers, and leading to total joint degeneration. Second, several ncRNAs are associated with the prognosis of OA. Rousseau et al. (2020) took the miRNAs in the serum of female patients with KOA as the research objects. He first made a preliminary screening of the research objects through next-generation sequencing and then further analyzed the research objects through RT-QPCR. He found that miR-146A-5p is up-regulated in patients with mild OA, and the prognosis of OA caused by the up-regulation of miRNA is relatively good. In addition, the increase of miR-186-5p in an individual means that the individual might have the imaging changes of OA in the past 4 years, which could be prevented in advance to avoid the occurrence of OA as much as possible. Finally, several ncRNAs can be used for the treatment of OA. Several new drugs can be developed to promote or inhibit several ncRNAs, or change the pathway of action of ncRNA to treat OA. For example, miR-93 is down-regulated in mice with OA and lipopolysaccharide-treated chondrocytes, and acts directly on TLR4 to exert biological effects. miR-93 regulates OA by inhibiting the TLR4/NF-κB pathway, lipopolysaccharide-induced inflammation, and apoptosis. In patients with OA and down-regulation of miR-93, corresponding drugs can be developed to promote its up-regulation and inhibit the aggravation of OA (Ding et al., 2019). These studies indicate that ncRNA has great potential for clinical use in OA. At present, most of the tissue comes from cartilage and is found in the knee joint, and the chondrocytes are cultured to construct the OA cell model. Further research is needed, and more clinical trials must be explored to find biomarkers associated with OA while developing the immense potential of ncRNA.

Conclusion

In recent years, ncRNAs have become one of the most widely studied fields in the development of OA. However, the studies on the regulation of miRNA, lncRNA, and circRNA in diseases and their use as indicators for diagnosis or treatment of OA are still in the early stages, and the mechanism of action ofOA, which may involve multiple signaling pathways, is still unclear. This study reviews theinteractions between lncRNA/circRNA and miRNA in OA. Through high-throughput sequencingtechnologies such as microarray analysis and RNA sequencing, the findings reveal that a large number of miRNA, lncRNA, and circRNA are dysregulated in patients with OA, and the clinical trials related to ncRNA and OA are summarized. The present research progress of ncRNA in the prevention, diagnosis, and treatment of OA is illustrated, which provides a basis for the treatment of OA by ncRNA in the future.
  393 in total

1.  Upregulation of microRNA-125b-5p is involved in the pathogenesis of osteoarthritis by downregulating SYVN1.

Authors:  Feng-Xiao Ge; Haitao Li; Xin Yin
Journal:  Oncol Rep       Date:  2017-02-24       Impact factor: 3.906

2.  Elevated expression of microRNA-30b in osteoarthritis and its role in ERG regulation of chondrocyte.

Authors:  Lisong Li; Cao Yang; Xianzhe Liu; Shuhua Yang; Shunan Ye; Jie Jia; Wei Liu; Yukun Zhang
Journal:  Biomed Pharmacother       Date:  2015-11-12       Impact factor: 6.529

3.  Expression of miRNA-140 in Chondrocytes and Synovial Fluid of Knee Joints in Patients with Osteoarthritis.

Authors:  Haibo Si; Yi Zeng; Zongke Zhou; Fuxing Pei; Yanrong Lu; Jingqiu Cheng; Bin Shen
Journal:  Chin Med Sci J       Date:  2016-11-20

4.  miR‑27 inhibits the NF-κB signaling pathway by targeting leptin in osteoarthritic chondrocytes.

Authors:  Bin Zhou; Hongwei Li; Jide Shi
Journal:  Int J Mol Med       Date:  2017-06-13       Impact factor: 4.101

5.  Lnc-RNA BLACAT1 regulates differentiation of bone marrow stromal stem cells by targeting miR-142-5p in osteoarthritis.

Authors:  Y Ji; Q-Y Fang; S-N Wang; Z-W Zhang; Z-J Hou; J-N Li; S-Q Fu
Journal:  Eur Rev Med Pharmacol Sci       Date:  2020-03       Impact factor: 3.507

6.  Overexpression of microRNA-210 promotes chondrocyte proliferation and extracellular matrix deposition by targeting HIF-3α in osteoarthritis.

Authors:  Zhifu Li; Dongdong Meng; Guangheng Li; Jianzhong Xu; Ke Tian; Yu Li
Journal:  Mol Med Rep       Date:  2016-02-05       Impact factor: 2.952

7.  MiR-146b accelerates osteoarthritis progression by targeting alpha-2-macroglobulin.

Authors:  Xin Liu; Liangliang Liu; Hongbo Zhang; Yan Shao; Ziyu Chen; Xiaofeng Feng; Hang Fang; Chang Zhao; Jianying Pan; Haiyan Zhang; Chun Zeng; Daozhang Cai
Journal:  Aging (Albany NY)       Date:  2019-08-17       Impact factor: 5.682

8.  lncRNA HAND2-AS1 is downregulated in osteoarthritis and regulates IL-6 expression in chondrocytes.

Authors:  Zhenxing Si; Shifeng Zhou; Zilong Shen; Feiyu Luan; Jinglong Yan
Journal:  J Orthop Surg Res       Date:  2021-01-19       Impact factor: 2.359

9.  Osteoarthritic Subchondral Bone Release Exosomes That Promote Cartilage Degeneration.

Authors:  Xiaoxin Wu; Ross Crawford; Yin Xiao; Xinzhan Mao; Indira Prasadam
Journal:  Cells       Date:  2021-01-28       Impact factor: 6.600

10.  Long noncoding RNA TUG1 regulates degradation of chondrocyte extracellular matrix via miR-320c/MMP-13 axis in osteoarthritis.

Authors:  Hu Han; Lijuan Liu
Journal:  Open Life Sci       Date:  2021-04-21       Impact factor: 0.938

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Authors:  Domenico Di Raimondo; Edoardo Pirera; Giuliana Rizzo; Irene Simonetta; Gaia Musiari; Antonino Tuttolomondo
Journal:  Diagnostics (Basel)       Date:  2022-05-31

Review 2.  High Mobility Group Proteins in Sepsis.

Authors:  Guibin Liang; Zhihui He
Journal:  Front Immunol       Date:  2022-06-02       Impact factor: 8.786

Review 3.  Potential Biological Roles of Exosomal Long Non-Coding RNAs in Gastrointestinal Cancer.

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4.  Long non-coding RNA Gm37494 alleviates osteoarthritis chondrocyte injury via the microRNA-181a-5p/GABRA1 axis.

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Journal:  J Orthop Surg Res       Date:  2022-06-10       Impact factor: 2.677

5.  Whole Transcriptome Mapping Identifies an Immune- and Metabolism-Related Non-coding RNA Landscape Remodeled by Mechanical Stress in IL-1β-Induced Rat OA-like Chondrocytes.

Authors:  Jiaming Zhang; Xiaoxia Hao; Ruimin Chi; Jiawei Liu; Xingru Shang; Xiaofeng Deng; Jun Qi; Tao Xu
Journal:  Front Genet       Date:  2022-03-03       Impact factor: 4.599

Review 6.  Non-coding RNAs in skin cancers:Biological roles and molecular mechanisms.

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Journal:  Front Pharmacol       Date:  2022-08-10       Impact factor: 5.988

Review 7.  The role of long non-coding RNA ANRIL in the development of atherosclerosis.

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