Literature DB >> 33448322

lncRNAS56464.1 as a ceRNA promotes the proliferation of fibroblast‑like synoviocytes in experimental arthritis via the Wnt signaling pathway and sponges miR‑152‑3p.

Hui Jiang1, Jian Liu1, Chang Fan1, Jing Wang1, Weiping Li2.   

Abstract

Rheumatoid arthritis (RA) is an autoimmune disease that occurs in approximately 1.0% of the general population. In RA patients, physical disability and joint damage are the major prognostic factors, which are associated with a reduction in the quality of life and early mortality. At present, the exact molecular mechanism of RA remains elusive. Long noncoding RNAs (lncRNAs) have been revealed to play a regulatory role in the pathogenesis of RA. To reveal the function of lncRNAs in rheumatoid arthritis, lncRNAS56464.1 was screened to verify its targeting of the microRNA (miR)‑152‑3p/Wnt pathway and its effect on the proliferation of fibroblast‑like synoviocytes (FLS). In the present study, based on the competing endogenous RNA (ceRNA) theory, siRNA was designed for transfection into FLS to calculate the lncRNAS56464.1 interference efficiency and then the effect of lncRNAS56464.1 interference on FLS proliferation was detected by MTT assay. Then, lncRNAS56464.1 targeting of the miR‑152‑3p/Wnt pathway was detected by a dual‑luciferase reporter assay. In addition, RT‑qPCR, immunofluorescence and western blotting techniques were employed to detect the expression of lncRNAS56464.1, miR‑152‑3p and some key genes of the Wnt signaling pathway in FLS after lncRNAS56464.1 interference. The results revealed that lncRNAS56464.1 could combine with miR‑152‑3p and promoted the proliferation of FLS. In addition, lncRNAS56464.1 interference could not only decrease the proliferation of FLS and the expression of Wnt1, β‑catenin, c‑Myc, cyclin D1, and p‑GSK‑3β/GSK‑3β, but it also increased the expression of SFRP4. The present data indicated that lncRNAS56464.1 could target the miR‑152‑3p/Wnt pathway to induce synovial cell proliferation and then participate in the pathogenesis of RA.

Entities:  

Year:  2021        PMID: 33448322      PMCID: PMC7834957          DOI: 10.3892/ijmm.2021.4850

Source DB:  PubMed          Journal:  Int J Mol Med        ISSN: 1107-3756            Impact factor:   4.101


Introduction

Rheumatoid arthritis (RA), as a systemic and autoimmune disease, is characterized by chronic inflammation, abnormal synovial cell proliferation, joint swelling and tenderness and can lead to limitations in joint function and the loss of the ability to work (1,2). Fibroblast-like synoviocytes (FLS) are an important type of synovial cell and are the main type of effector cell mediating joint destruction and synovitis by functioning in tissue shaping in the physiological state and in matrix remodeling in pathological injury (3-6). At present, the specific pathogenesis of RA remains elusive, and may be related to immune factors, environmental factors, heredity, as well as other factors (7-9). Therefore, it is of great theoretical and practical significance to actively explore the pathogenesis of RA and search for potential diagnostic markers. Long noncoding RNAs (lncRNAs), which are a recently discovered class of noncoding RNAs, are transcribed from noncoding sequences in the genome, are longer than 200 nt and do not have the ability to be translated into proteins (10,11). LncRNAs have become a novel research focus since numerous lncRNAs have been discovered that are closely related to the occurrence of a great number of diseases due to their extensive regulatory effects on epigenetics (12), transcription (13), and protein translation (14) and modification (15). Therefore, a systematic study of the regulatory role of lncRNAs in the pathogenesis of RA will help in more comprehensively understanding the mechanism of RA and providing new insight and targets for its clinical diagnosis and treatment. According to previous research by our group, we revealed that lncRNAS56464.1 is a crucial gene related to the pathogenesis of experimental arthritis, which can be used as a potential biomarker for diagnosis and a clinical treatment target (16). However, the specific mechanism of lncRNAS56464.1 in RA development and progression remains in its infancy. In 2011, Salmena et al (17) proposed a new mechanism for describing RNA interactions: The competitive endogenous RNA (ceRNA) hypothesis. The hypothesis holds that RNA transcripts such as lncRNAs and circRNAs regulate the expression level of mRNAs by competing with miRNAs to bind miRNA response elements (MREs). miRNAs are important genetic molecules in organisms that participate in the regulation of posttranscriptional gene expression. Their aberrant expression is related to the occurrence and development of numerous diseases. miR-152-3p was revealed through miRNA screening in our previous study, to be the key gene associated with RA (16). miR-152-3p belongs to the miR-152 family and participates in biological processes such as cell proliferation, differentiation and apoptosis (18-20). A study has revealed that miR-152 can target Wnt1 to regulate the Wnt signaling pathway and affect the development of RA (21). However, the specific relationship between lncRNAS56464.1, miR-152-3p, the Wnt signaling pathway and the occurrence and development of RA remains to be studied. Therefore, in the present study, based on the ceRNA theory, it was investigated whether lncRNAS56464.1 can target the miR-152-3p/Wnt pathway and affect the proliferation of FLS in RA.

Materials and methods

Induction of arthritis and the culture and identification of synovial cells

In the present study, 40 male SPF Sprague-Dawley (SD) rats (6-8 weeks old; 200±20 g) were purchased from the Anhui Experimental Animal Center. The rats were housed individually under a set temperature (18-22°C) and humidity (40-60%) with a 12-h light/dark cycle, free access to standard laboratory food and water, and environmental noise kept to a minimum range. All animal experiments were approved by the Animal Ethics Committee of Anhui University of Chinese Medicine (Anhui, China). After one week of adaptive feeding, all rats were randomly divided into a control group (n=10) and a model group (n=30). Except for the control group, all rats were intracutaneously injected with 0.1 ml Freund's complete adjuvant (FCA) into the right hind metatarsal footpad to induce adjuvant-induced arthritis (AA) and 0.9% saline was administered to the control group rats as a placebo. The rats were anesthetized with 1.0% sodium pentobarbital by a 60 mg/kg intraperitoneal injection and were sacrificed after blood was collected from the abdominal aorta on the 20th day after immunization (22,23). Then, the synovial tissue was obtained and cultured in complete DMEM medium with 20% fetal bovine serum (lot no. 1715752; cat. no. 10099141C; Gibco; Thermo Fisher Scientific, Inc.) at 37°C and 5% CO2 by the tissue explant method (24). After a large number of cells were dissociated near the synovial tissue, the tissue mass was discarded and the cells continued to be cultured. When the cell density reached 80-90%, the cells were digested with 0.25% trypsin and passaged at 1:2 and FLS used in the experiment were 3-5 generations. The primary and sub-cultured FLS were observed under an inverted phase contrast microscope (Olympus Corporation), the sub-cultured synovial cells were identified by immunofluorescence staining for vimentin, and the specific operation was carried out according to the instructions of the kit as previously described (25,26). The cells were fixed 20 min with 4% paraformaldehyde (PFA), permeabilized 20 min using 0.1% Triton X-100 and then blocked in 5% BSA for 30 min; all operations aforementioned were performed at room temperature. The cells were then incubated with anti-vimentin (1:100; product code ab92547; Abcam) overnight at 4°C, followed by a further incubation at room temperature for 1 h with FITC-labeled Goat Anti-Rabbit IgG (1:500; cat. no. A0562; Beyotime Institute of Biotechnology). Nuclear DNA was labelled in blue with DAPI. The cell viability was detected by trypan blue staining as follows: Cell survival rate (percentage)=nonblue-stained cells/(blue-stained cells + nonblue-stained cells) ×100%.

Cell transfection

To suppress lncRNAS56464.1, specific small interfering RNAs (siRNAs) targeting lncRNAS56464.1 were synthesized and purchased from Shanghai GenePharma Co., Ltd., and were as follows: siRNA1 forward sequence, 5′-GCU ACU UUG UGG UAU CAA UTT-3′ and reverse sequence, 5′-AUU GAU ACC ACA AAG UAG CUU-3′; siRNA2 forward sequence, 5′-GAG GAG AUA GGU AGA ACC UTT-3′ and reverse sequence, 5′-AGG UUC UAC CUA UCU CCU CUU-3′; siRNA negative control (NC) forward sequence, 5′-UUC UUC GAA CGU GUC ACG UTT-3′ and reverse sequence, 5′-ACG UGA CAC GUU CGG AGA ATT-3′. The cells were inoculated on a 6-well plate, and the cell density reached 60-80% confluence before the transfection of siRNA (20, 50, 100 and 200 nM). The mixture of transfection reagents of Lipofectamine 2000 (cat. no. 11668027; Invitrogen; Thermo Fisher Scientific, Inc.), Opti-MEM (cat. no. 31985070; Gibco; Thermo Fisher Scientific, Inc.) and siRNA was slowly dripped into the 6-well plate. After being cultured at 37°C and 5% CO2 for 4-6 h, the mixed transfection reagents were replaced with complete DMEM (without antibiotics), and the follow-up experiment was carried out after 24 h of transfection as previously described (27).

Cell proliferation assay

The effect of lncRNAS56464.1 on FLS proliferation was detected by an MTT assay as previously described (28). The transfected FLS (1×105/ml) were cultured in complete DMEM medium with 20% fetal bovine serum for 12, 24 and 48 h in 96-well plates. After culturing, 20 µl MTT (5 mg/ml) (cat. no. ST316; Beyotime Institute of Biotechnology,) was added into each well and cultured at 37°C and 5% CO2 for 4 h. Then, 150 µl dimethyl sulfoxide (DMSO) was utilized to dissolve the formazan after discarding the liquid in each well as previously described (29,30). Determination of the absorbance at 490 nm was performed using a microplate reader (BioTek Instruments, Inc.). The cell proliferation inhibition rate was calculated as follows: Inhibition rate = [1−(OD siRNA group-OD blank control group)/(OD control group-OD blank control group)] ×100%. The blank control group consisted of MTT reagents without FLS and the control group refers to FLS treated with DEPC water, which is the solvent of siRNA.

Prediction of miRNA targets of lncRNAS56464.1 and validation by a luciferase reporter assay

The full-length sequences of lncRNAS56464.1 and mature miRNAs such as miR-152-3p, miR-20a-3p, miR-17-2-3p as well as others which were differentially expressed key miRNAs in the experimental arthritis in our previous study (16), were obtained from NCBI Refseq and miRbase (31), respectively. We predicted the miRNA target of lncRNAS56464.1 using OG-local tools based on the RNAhybrid algorithm (32) and revealed that miR-152-3p to lncRNAS56464.1 had the highest binding degree and lowest free energy. Then, the full fragment of lncRNAS56464.1 with the binding site of miR-152-3p was amplified through PCR, including the wild-type or mutant lncRNAS56464.1 sequence binding site. Then, the constructed plasmid and miR-152-3p mimic with the Lipofectamine 2000 reagent were co-transfected into 293T functional cells (cat. no. FH0244; Shanghai FuHeng Biology). The cells were collected at 48 h post-transfection, and the luciferase activities were measured using the Dual-Luciferase Reporter Assay System (Promega Corporation) and normalized to the Renilla luciferase activity as previously described (33).

Reverse transcription-quantitative (RT-q)PCR

Total RNA was extracted from FLS using TRIzol (lot no. 90802; cat. no. 15596018; Invitrogen; Thermo Fisher Scientific, Inc.) and reverse transcribed into cDNAs using the Reverse Transcription kit (K1621; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. RT-qPCR was performed to amplify the cDNA templates by 2X Universal SYBR-Green Fast qPCR Mix (cat. no. RK21203; ABclonal) and using the PIKOREAL 96 fluorescence quantitative PCR instrument (Thermo Fisher Scientific, Inc.). The thermocycling conditions were as follows: Pre-denaturation at 95°C for 3 min, 40 cycles at 95°C for 5 sec and 60°C for 30 sec. The relative expression of each target gene was quantified and normalized by calculating (cycle of quantification) the values and the level of each index as previously described (34,35). The primers were synthesized by Shanghai Sangon Biotech Co., Ltd., and are presented in Table I.
Table I

Sequences of primers for RT-qPCR.

Targeted geneForward sequence and reverse sequenceProduct length (bp)
Wnt1F: 5′-AGAAACCGCCGCTGGAACT-3′
R: 5′-GGAGGTGATTGCGAAGATAAACG-3′105
β-cateninF: 5′-CCACGACTAGTTCAGCTGCTTGTAC-3′
R: 5′-ACTGCACAAACAGTGGAATGGTATT-3′225
c-MycF: 5′-CTGGAGTGAGAAGGGCTTTG-3′
R: 5′-CAGCAGCTCGAATTTCTTCC-3′480
Cyclin D1F: 5′-TGGAGCCCCTGA AGAAGAG-3′
R: 5′-AAGTGCGTTGTGCGGTAGC-3′424
GSK-3βF: 5′-TACCCATACGATGTTCCAGAT-3′
R: 5′-ACCCTGCCCAGGAGTTGCCAC-3′120
SFRP4F: 5′-AAGTCTTTGTCACCTATCCCTCG-3′
R: 5′-CGGCTGGCTATCTGCTTCTT-3′162
β-actinF: 5′-CAGCGGAACCGCTCATTGATGG-3′
R: 5′-TCACCCACACTGTGCCCAACGA-3′300

RT-qPCR, reverse transcription-quantitative PCR; F, forward; R, reverse.

Western blotting

FLS was extracted using RIPA lysis buffer (product no. P0013B; Beyotime Institute of Biotechnology) containing PMSF (100 mM) (product no. ST506; Beyotime Institute of Biotechnology). FLS were washed three times with cold PBS and digested with 100 µl protein lysate. The protein concentration was determined using the BCA method. The lysates (20 µg of protein loaded per lane) were separated by 8% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and then transferred to a polyvinylidene fluoride membrane (PVDF membrane). The PVDF membrane was washed with 1X TBST for 2 min, sealed with 5% skim milk at room temperature for 2 h, and incubated with anti-Wnt1 (1:5,000; product no. ab63934; Abcam), anti-β-catenin (1:500; ab68183; Abcam), anti-c-Myc (1:500; BM4042; Boster Biological Technology), anti-cyclin D1 (1:500; ab40754), anti-GSK3β (1:2,000; product code ab93926), anti-GSK3β (phospho S9) (1:10,000; product code ab75814), anti-SFRP4 (1:200; ab154167), and anti-β-actin (1:1,000; ab8226; all from Abcam) antibodies overnight at 4°C. Then, the membrane was washed three times with TBST and incubated with a second anti-mouse or anti-rabbit antibody HRP (1:10,000; cat. nos. AS003 and AS014, respectively; ABclonal) for 2 h at room temperature. The protein was detected with an enhanced chemiluminescence kit (EMD Millipore). Each protein band was a representative picture of three replicates. Western blotting data were quantified with ImageJ software (version 1.52, National Institutes of Health) (30).

Immunofluorescence

The cells were fixed in 4% paraformaldehyde for 30 min, then 50-100 µl 0.25% Triton X-100 was added and incubated for 10 min; all steps aforementioned were performed at room temperature. The sections were washed with PBS for three times, and immunostained with primary antibodies, and incubated overnight in a wet chamber at 4°C. The dilutions of the antibodies (as aforementioned) were as follows: Wnt1, 1:100; β-catenin, 1:200; c-Myc, 1:200; cyclin D1, 1:500; p-GSK-3β (Ser9), 1:200; SFRP4, 1:200; and β-actin, 1:200. Then, the sections were stained with the corresponding secondary antibody (as aforementioned) (1:10,000), and incubated at room temperature for 50 min. The nucleus was stained for 5 min with DAPI at room temperature. Six fluorescence images for semi-quantitative analysis and the average optical density were used to reflect the fluorescence intensity of immune response of different indexes as previously described (36).

Statistical analysis

The data were inputted into SPSS17.0 software (SPSS, Inc.) for statistical processing, and the results were expressed as the mean ± SD (standard deviation) . The data were analyzed using one-way ANOVA (one-way analysis of variance) followed by Tukey's multiple comparison test to detect the differences between groups. The result was considered statistically significant when P<0.05.

Results

Identification and activity detection of FLS

After more than two passages, the characteristics of the FLS were stable, the species were mainly fibroblasts, the shape was mainly fusiform, and the polar processes were slender, as revealed in Fig. 1A. Under a fluorescence microscope, the passage of FLS was positive for vimentin antibody labeling, the cells were fusiform, and the nucleus was oval and located in the center of the cells, as revealed in Fig. 1B. In addition, the results of trypan blue staining revealed that the survival rate of the FLS was more than 90% (data not shown).
Figure 1

Morphological observation of synovial cells by optical microscopy and fluorescence microscopy. (A) The morphological observation of transmembrane FLS under optical microscope (×200). (B) The morphological observation of transmembrane FLS under fluorescence microscope (×200). FLS, fibroblast-like synoviocytes.

Negative regulation of FLS proliferation under lncRNAS56464.1 interference

As revealed in Fig. 2A, the highest efficiency of lncRNAS56464.1 siRNA1 interference on FLS was ~30%; the highest efficiency of lncRNAS56464.1 siRNA2 interference on FLS was >60%, and the interference efficiency of 100 nM was more than 50%. According to the interference efficiency, lncRNAS56464.1 siRNA2 (100 nM) was selected for the following experimental study. As revealed in Fig. 2B, with the increasing interference time of the lncRNAS56464.1, the inhibition rate of FLS increased continuously. The inhibition rate significantly increased between 12 and 24 h as well as 12 and 48 h. However, there was no significant increase between 24 and 48 h. Thus, 24 h was selected as the stimulation time for the follow-up experiment.
Figure 2

Interference efficiency of lncRNAS56464.1 siRNA and the effect on FLS proliferation. (A) Interference efficiency of lncRNAS56464.1 siRNA. (B) Effect of lncRNAS56464.1 interference on FLS proliferation. siRNA, small interfering RNA; FLS, fibroblast-like synoviocytes; NC, negative control. ##P<0.01 compared with the 12 h group.

lncRNAS56464.1 can combine with miR-152-3p

lncRNAs are considered to bind competitively with miRNAs, resulting in a series of biological effects (37,38). In Fig. 3A, the present results revealed using RNAhybrid, that miR-152-3p was identified as having a potential binding site of lncRNAS56464.1. Then, in the subsequent luciferase experiment, the luciferase constructor containing the wild-type or mutant lncRNAS56464.1 was co-transfected with miR-152-3p or control miRNAs to verify whether lncRNAS56464.1 could target miR-152-3p. As revealed in Fig. 3B, upon overexpressing miR-152-3p in FLS, the luciferase activity of wild-type lncRNAS56464.1 was lower than that of mutant lncRNAS56464.1, which also indicated that lncRNAS56464.1 could directly target miR-152-3p and combine with it.
Figure 3

miR-152-3p is a potential target gene of lncRNAS56464.1. (A) Schematic comparison between lncRNAS56464.1 and the 'seed sequence' in miR-152-3p. (B) miR-152-3p inhibited the luciferase activity of WT lncRNAS56464.1 rather than that of Mut lncRNAS56464.1 in FLS. *P<0.05 compared with the NC group. WT, wild-type; Mut, mutant; FLS, fibroblast-like synoviocytes; NC, negative control.

Effect of lncRNAS56464.1 interference on the expression of lncRNAS56464.1 and miR-152-3p mRNA in FLS

As revealed in Fig. 4, compared with the control group, the expression of lncRNAS56464.1 was significantly increased (Fig. 4A) and that of miR-152-3p was significantly decreased (Fig. 4B) in the model group. Compared with the model group, the expression of lncRNAS56464.1 was significantly decreased (Fig. 4A) and that of miR-152-3p significantly increased (Fig. 4B) in the siRNA group.
Figure 4

Changes of lncRNAS56464.1 and miR-152-3p expression in FLS after siRNA treatment. (A) The change of lncRNAS56464.1 expression in FLS after siRNA treatment. (B) The change of miR-152-3p expression in FLS after siRNA treatment. ##P<0.01 compared with the control group; **P<0.01 compared with the model group. Control, FLS of the normal group; model, FLS of the AA model group. FLS, fibroblast-like synoviocytes; siRNA, small interfering RNA; siRNA (NC), small interfering RNA negative control; AA, adjuvant-induced arthritis.

Effect of lncRNAS56464.1 interference on the Wnt signaling pathway

Effect of lncRNAS56464.1 interference on Wnt1

It has been demonstrated that Wnt1 can directly target miR-152-3p (39) and thus Wnt1 was selected as the detection indicator. As revealed in Fig. 5, compared with the control group, the mRNA and protein expression of Wnt1 in the model group and the siRNA (NC) group was significantly increased. Compared with the model group, Wnt1 expression in the siRNA group was significantly decreased.
Figure 5

Changes of Wnt1 protein and mRNA expression in FLS of AA rats after siRNA treatment. (A) The changes of Wnt1 protein expression were observed by an immunofluorescence technique (×400); a, control group; b, model group, c, siRNA (NC) group, d, siRNA group. (B) Semiquantitative analysis of fluorescence intensity. (C) The changes of Wnt1 mRNA expression were observed by RT-qPCR. (D) The changes of Wnt1 protein expression were observed by western blotting. (E) Semiquantitative analysis of Wnt1 protein. ##P<0.01 compared with the control group; *P<0.05 and **P<0.01 compared with the model group. Control, FLS of the normal group; Model, FLS of the AA model group. siRNA (NC), small interfering RNA negative control; siRNA, small interfering RNA; FLS, fibroblast-like synoviocytes; AA, adjuvant-induced arthritis; RT-qPCR, reverse transcription-quantitative PCR.

Effect of lncRNAS56464.1 interference on the expression of β-catenin in FLS of AA rats

β-catenin is a key gene in the classical Wnt signaling pathway, which plays a central role in signal transduction (40). As revealed in Fig. 6, the mRNA and protein expression of β-catenin in the model group and siRNA (NC) group was significantly higher than that in the control group. The expression levels of β-catenin at both the protein and mRNA level were significantly lower in the siRNA group than that in the model group.
Figure 6

Changes of β-catenin protein and mRNA expression in FLS of AA rats after siRNA treatment. (A) The changes of β-catenin protein expression were observed by an immunofluorescence technique (×400); a, control group; b, model group, c, siRNA (NC) group, d, siRNA group. (B) Semiquantitative analysis of fluorescence intensity. (C) The changes of Wnt1 mRNA expression were observed by RT-qPCR. (D) The changes of β-catenin protein expression were observed by western blotting. (E) Semiquantitative analysis of β-catenin protein. ##P<0.01 compared with the control group; *P<0.05 and **P<0.01 compared with the model group. Control, FLS of the normal group; Model, FLS of the AA model group. siRNA (NC), small interfering RNA negative control; siRNA, small interfering RNA; FLS, fibroblast-like synoviocytes; AA, adjuvant-induced arthritis; RT-qPCR, reverse transcription-quantitative PCR.

Effect of lncRNAS56464.1 interference on the expression of c-Myc in FLS of AA rats

c-Myc is a proto-oncogene that is a downstream target gene of the Wnt signaling pathway (41). As revealed in Fig. 7, compared with the control group, the mRNA and protein expression of c-Myc in the model group and siRNA (NC) group was significantly increased. After lncRNAS56464.1 interference, compared with the model group, the mRNA and protein expression of c-Myc was significantly decreased.
Figure 7

Changes of c-Myc protein and mRNA expression in FLS of AA rats after siRNA treatment. (A) The changes of c-Myc protein expression were observed by an immunofluorescence technique (×400); a, control group; b, model group, c, siRNA (NC) group, d, siRNA group. (B) Semiquantitative analysis of fluorescence intensity. (C) The changes of c-Myc mRNA expression were observed by RT-qPCR. (D) The changes of c-Myc protein expression were observed by western blotting. (E) Semiquantitative analysis of c-Myc protein. ##P<0.01 compared with the control group; *P<0.05 and **P<0.01 compared with the model group. Control, FLS of the normal group; Model, FLS of the AA model group. siRNA (NC), small interfering RNA negative control; siRNA, small interfering RNA; FLS, fibroblast-like synoviocytes; AA, adjuvant-induced arthritis; RT-qPCR, reverse transcription-quantitative PCR.

Effect of lncRNAS56464.1 interference on the expression of cyclinD1 in FLS of AA rats

The main function of cyclin D1 is to promote cell proliferation, and its overexpression can lead to cell loss of control (42). To detect the level of cyclin D1, RT-qPCR and western blotting were employed. As revealed in Fig. 8, the mRNA and protein expression of cyclin D1 in the model group and siRNA (NC) group was significantly higher than that in control group. The expression of cyclin D1 protein and mRNA in the siRNA group was significantly lower than that in the model group.
Figure 8

Changes of cyclin D1 protein and mRNA expression in FLS of AA rats after siRNA treatment. (A) The changes of cyclin D1 protein expression were observed by an immunofluorescence technique (×400); a, control group; b, model group, c, siRNA (NC) group, d, siRNA group. (B) Semiquantitative analysis of fluorescence intensity. (C) The changes of cyclin D1 mRNA expression were observed by RT-qPCR. (D) The changes of cyclin D1 protein expression were observed by western blotting. (E) Semiquantitative analysis of cyclin D1 protein. ##P<0.01 compared with the control group; **P<0.01 compared with the model group. Control, FLS of the normal group; Model, FLS of the AA model group. siRNA (NC), small interfering RNA negative control; siRNA, small interfering RNA; FLS, fibroblast-like synoviocytes; AA, adjuvant-induced arthritis; RT-qPCR, reverse transcription-quantitative PCR.

Effect of lncRNAS56464.1 interference on the expression of GSK-3β in synovial cells of AA rats

GSK-3β is a serine/threonine kinase that can regulate cell proliferation and differentiation (43). As revealed in Fig. 9, compared with the control group, the mRNA and protein expression of GSK-3β in the model group and siRNA (NC) group had no significant change, but the protein level of p-GSK-3β (Ser9)/GSK-3β was significantly increased. Compared with the model group, the mRNA and protein expression of GSK-3β in the siRNA group had no significant change, but the protein level of p-GSK-3β (Ser9)/GSK-3β was significantly decreased.
Figure 9

Changes of GSK-3β and p-GSK-3β (Ser9) protein and mRNA expression in FLS of AA rats after siRNA treatment. (A) The changes of p-GSK-3β(Ser9) protein expression were observed by an immunofluorescence technique (×400); a, control group; b, model group, c, siRNA (NC) group, d, siRNA group. (B) Semiquantitative analysis of fluorescence intensity. (C) The changes of p-GSK-3β(Ser9) mRNA expression were observed by RT-qPCR. (D) The changes of GSK-3β and p-GSK-3β(Ser9) protein expression were observed by western blotting. (E) Semiquantitative analysis of p-GSK-3β(Ser9)/GSK-3β protein. ##P<0.01 compared with the control group; *P<0.05 compared with the model group. Control, FLS of the normal group; Model, FLS of the AA model group. siRNA (NC), small interfering RNA negative control; siRNA, small interfering RNA; FLS, fibroblast-like synoviocytes; AA, adjuvant-induced arthritis; RT-qPCR, reverse transcription-quantitative PCR.

Effect of lncRNAS56464.1 interference on the expression of SFRP4 in FLS of AA rats

SFRP4 is an antagonist of the Wnt signaling pathway, which is closely related to cell proliferation and differentiation (44). As revealed in Fig. 10, the mRNA and protein expression of SFRP4 in the model group and the siRNA (NC) group was significantly lower than that in the control group. After lncRNAS56464.1 interference, the expression of SFRP4 at both protein and mRNA levels was significantly higher than that in the model group.
Figure 10

Changes of SFRP4 protein and mRNA expression in FLS of AA rats after siRNA treatment. (A) The changes of SFRP4 protein expression were observed by an immunofluorescence technique (×400); a, control group; b, model group, c, siRNA (NC) group, d, siRNA group. (B) Semiquantitative analysis of fluorescence intensity. (C) The changes of SFRP4 mRNA expression were observed by RT-qPCR. (D) The changes of SFRP4 protein expression were observed by western blotting. (E) Semiquantitative analysis of SFRP4 protein. ##P<0.01 compared with the control group; *P<0.05 and **P<0.01 compared with the model group. Control, FLS of the normal group; Model, FLS of the AA model group. siRNA (NC), small interfering RNA negative control; siRNA, small interfering RNA; FLS, fibroblast-like synoviocytes; AA, adjuvant-induced arthritis; RT-qPCR, reverse transcription-quantitative PCR.

Discussion

RA is a type of autoimmune disease characterized by synovial hyperplasia and bone erosion. Patients exhibit some joint swelling at the beginning of the course of the disease, which can develop into systemic joint deformities at the later stage of the course, causing serious damage to the body and psychology of a patient. The pathological process of RA involves numerous types of cells, among which FLS are the most important (45-47). FLS contain a large amount of endoplasmic reticulum and have the main characteristics of a protein secretory phase. Moreover, FLS can be activated continuously in both an inflammatory and noninflammatory environment, exhibiting tumor-like proliferation and high invasive ability, which are closely related to the destruction of articular cartilage and joint injury in RA (48-50). lncRNAs, play a regulatory role in epigenetic, pre-transcriptional and post-transcriptional aspects and widely participate in the biological functions of the body and are closely related to the progression of numerous diseases (51,52). In our previous study, we confirmed that lncRNAS56464.1, as an antisense noncoding RNA, was found to be located on chromosome 4 and exhibited increased expression in RA. Moreover, bioinformatics analysis indicated that lncRNAS56464.1 is a key gene in RA (16). In this study, it was revealed that lncRNAS56464.1 interference inhibited the proliferation of FLS, indicating that lncRNAS56464.1 can promote the proliferation of FLS. Since lncRNAS56464.1 is newly discovered as revealed in our pervious study (16), determination of the specific mechanism of lncRNAS56464.1 in RA development and progression remains in its infancy. At present, it is widely accepted that lncRNAs can regulate the abundance of miRNAs by binding and sequestering them, acting as the so-called miRNA sponges, and then regulating the expression of target mRNAs (53,54). Thus, it has been revealed to be efficient to infer the potential functions of lncRNAs by studying the related miRNAs and mRNAs, whose functions have been annotated (55-57). Through bioinformatics prediction, it was revealed that there was a high degree of binding between miR-152-3p and lncRNAS56464.1. Thereafter, through luciferase reporter assays, it was also revealed that the luciferase activity of lncRNAS56464.1-WT was lower than that of lncRNAS56464.1-Mut, indicating that miR-152-3p was the downstream target of lncRNAS56464.1 and can be combined with it. miR-152 originates from chromosome 17 (17q21.32) of chr10:84719319-84719403 (58). Miao et al (59) revealed that the expression of miR-152 was significantly decreased in rats with adjuvant arthritis, and the upregulation of miR-152 expression could inhibit the activation of the Wnt signaling pathway, thus reducing the excessive proliferation of FLS. A recent study reported that miR-152-3p could directly target Wnt1 and activate the Wnt signaling pathway (60). Large amounts of evidence indicate that the Wnt signaling pathway can participate in the occurrence and development of RA by regulating inflammation, proliferation, apoptosis, articular cartilage maturation and bone destruction (61,62). Wnt1 plays a regulatory role in the Wnt pathway, participates in biological processes such as cell differentiation, proliferation and migration and is closely related to the pathogenesis of RA (63,64). Sen et al and Nakamura et al (65,66) revealed that the expression levels of Wnt and fibronectin in the synovium of patients with RA were significantly increased. The present study revealed that under the condition of lncRNAS56464.1 interference, the expression of Wnt1 was significantly decreased, suggesting that lncRNAS56464.1 could affect the proliferation of FLS by affecting the Wnt pathway. β-catenin is the key gene of the classical Wnt signaling pathway, which plays a central role in signal transduction and is directly related to the abnormal proliferation of RA synovial cells (67). Yoshioka et al (68) demonstrated that β-catenin siRNAs could significantly inhibit the proliferation of FLS stimulated by IL-1β. c-Myc and cyclin D1 are proto-oncogenes, which participate in cell proliferation, differentiation and apoptosis and are closely related to the occurrence and development of numerous diseases (69,70). Recent studies have revealed that c-Myc and cyclin D1, as important target genes downstream of the Wnt signaling pathway, are highly expressed in FLS and involved in the pathogenesis of RA (71,72). GSK-3β is a widely expressed serine/threonine family kinase, in which the abnormal activity of the GSK-3β subtype has been demonstrated to be involved in the occurrence and development of numerous diseases (73,74). Studies have revealed that the stability and nuclear translocation of intracellular β-catenin are landmark molecular events in the activation of the Wnt signaling pathway. β-catenin, is the classical phosphorylation substrate of GSK-3β, and its degradation is regulated by GSK-3β. When GSK-3β is phosphorylated to p-GSK-3β (Ser9), degradation of β-catenin by GSK-3β is inhibited, and then affects the signal transduction of the Wnt signaling pathway (75). The present study revealed that after lncRNAS56464.1 interference, the expression levels of β-catenin, c-Myc, cyclin D1 and p-GSK-3β (Ser9)/GSK-3β in FLS were significantly decreased. SFRP4 is a secretory protein with a size of 40 kDa, consisting of more than 300 amino acids (76). It can inhibit the activation of the Wnt signaling pathway by competitively binding with receptors related to the Wnt signaling pathway. The present data indicated that the expression levels of SFRP4 were decreased at both the mRNA and protein levels in FLS, which was in accordance with findings from other relevant research studies (77,78). Notably, after lncRNAS56464.1 interference, the expression of SFRP4 was significantly increased. Based on the ceRNA theory (17), the effects of lncRNAS56464.1 on targeting the miR-152-3p/Wnt pathway in FLS were studied, and the relationship between RA and lncRNAs, miRNAs, and the Wnt pathway was elucidated. However, the targeting relationship between lncRNAS56464.1 and miR-152-3p in AA was only verified, thus in future studies we will explore the relationship between miR-152-3p and the Wnt signaling pathway in experimental arthritis. In conclusion, as revealed in Fig. 11, the present study revealed that lncRNAS56464.1 could target the miR-152-3p/Wnt pathway, promote the proliferation of FLS, and then lead to the occurrence and development of RA. This study deepens our understanding of the pathogenesis of RA from the perspective of lncRNAs and provides a new direction and target for the clinical diagnosis and treatment of RA.
Figure 11

lncRNAS56464.1 as a ceRNA promotes the proliferation of fibroblast-like synoviocytes in experimental arthritis via the Wnt signaling pathway by sponging miR-152-3p. When the body is stimulated by external damage factors, the expression of lncRNAS56464.1 increases, and it competitively binds to miRNA and decreases the expression of miR-152-3p. Therefore, it increases the expression of Wnt1, β-catenin, c-Myc, and cyclin D1 in the Wnt signaling pathway, further promoting the phosphorylation of GSK-3β, reducing the expression of SFRP4, and activating the Wnt signaling pathway and thus promoting the proliferation of FLS and affecting the occurrence and development of RA. FLS, fibroblast-like synoviocytes; RA, rheumatoid arthritis.

  77 in total

1.  Fast and effective prediction of microRNA/target duplexes.

Authors:  Marc Rehmsmeier; Peter Steffen; Matthias Hochsmann; Robert Giegerich
Journal:  RNA       Date:  2004-10       Impact factor: 4.942

2.  Long noncoding RNA UCID sponges miR‑152‑3p to promote colorectal cancer cell migration and invasion via the Wnt/β‑catenin signaling pathway.

Authors:  Li-Bin Sun; Shu-Fen Zhao; Jing-Juan Zhu; Yue Han; Ti-Dong Shan
Journal:  Oncol Rep       Date:  2020-07-06       Impact factor: 3.906

3.  LOC646329 long non-coding RNA sponges miR-29b-1 and regulates TGFβ signaling in colorectal cancer.

Authors:  Amir-Reza Javanmard; Sadat Dokanehiifard; Mehrdad Bohlooli; Bahram M Soltani
Journal:  J Cancer Res Clin Oncol       Date:  2020-02-07       Impact factor: 4.553

4.  Transcriptional regulation of microsomal prostaglandin E synthase 1 by the proto-oncogene, c-myc, in the pathogenesis of inflammation and cancer.

Authors:  M Ramanan; V S Pilli; G K Aradhyam; M Doble
Journal:  Biochem Biophys Res Commun       Date:  2016-11-15       Impact factor: 3.575

5.  MiR-152 reduces human umbilical vein endothelial cell proliferation and migration by targeting ADAM17.

Authors:  Yang Wu; Aixue Huang; Tao Li; Xueting Su; Hongmei Ding; Hui Li; Xingliang Qin; Lubin Hou; Qiang Zhao; Xingfeng Ge; Tao Fang; Rong Wang; Changqing Gao; Jie Li; Ningsheng Shao
Journal:  FEBS Lett       Date:  2014-05-08       Impact factor: 4.124

6.  Curcumin inhibits cell proliferation of MDA-MB-231 and BT-483 breast cancer cells mediated by down-regulation of NFkappaB, cyclinD and MMP-1 transcription.

Authors:  Q Liu; Wings T Y Loo; S C W Sze; Y Tong
Journal:  Phytomedicine       Date:  2009-06-12       Impact factor: 5.340

7.  LncRNA FENDRR attenuates colon cancer progression by repression of SOX4 protein.

Authors:  Jianchao Liu; Wenfeng Du
Journal:  Onco Targets Ther       Date:  2019-05-30       Impact factor: 4.147

8.  Fibroblast-like synovial cell production of extra domain A fibronectin associates with inflammation in osteoarthritis.

Authors:  Tue W Kragstrup; Dong H Sohn; Christin M Lepus; Kazuhiro Onuma; Qian Wang; William H Robinson; Jeremy Sokolove
Journal:  BMC Rheumatol       Date:  2019-12-02

Review 9.  Autoimmunity and Inflammation Link to Cardiovascular Disease Risk in Rheumatoid Arthritis.

Authors:  Daniel J DeMizio; Laura B Geraldino-Pardilla
Journal:  Rheumatol Ther       Date:  2019-12-18

10.  lncRNA UCA1 Promotes Gefitinib Resistance as a ceRNA to Target FOSL2 by Sponging miR-143 in Non-small Cell Lung Cancer.

Authors:  Xiliu Chen; Zhongliang Wang; Fan Tong; Xiaorong Dong; Gang Wu; Ruiguang Zhang
Journal:  Mol Ther Nucleic Acids       Date:  2019-11-29       Impact factor: 8.886

View more
  7 in total

1.  Long Non-Coding NONRATG001910.2 Promotes the Proliferation of Rat Mesangial Cell Line HBZY-1 Through the miR-339-3p/CTNNB1 Axis.

Authors:  Jiarong Gao; Xiaoli Zhu; Hao Chen; Hui Jiang; Miaomiao Shi; Liangbing Wei; Xiujuan Qin
Journal:  Front Genet       Date:  2022-04-28       Impact factor: 4.772

2.  Astragaloside regulates lncRNA LOC100912373 and the miR‑17‑5p/PDK1 axis to inhibit the proliferation of fibroblast‑like synoviocytes in rats with rheumatoid arthritis.

Authors:  Hui Jiang; Chang Fan; Yunqi Lu; Xiaoya Cui; Jian Liu
Journal:  Int J Mol Med       Date:  2021-05-20       Impact factor: 4.101

Review 3.  Promising Therapeutic Targets for Treatment of Rheumatoid Arthritis.

Authors:  Jie Huang; Xuekun Fu; Xinxin Chen; Zheng Li; Yuhong Huang; Chao Liang
Journal:  Front Immunol       Date:  2021-07-09       Impact factor: 7.561

Review 4.  LncRNAs and Rheumatoid Arthritis: From Identifying Mechanisms to Clinical Investigation.

Authors:  Wentao Huang; Xue Li; Chen Huang; Yukuan Tang; Quan Zhou; Wenli Chen
Journal:  Front Immunol       Date:  2022-01-11       Impact factor: 7.561

5.  Endothelial Transient Receptor Potential Canonical Channel Regulates Angiogenesis and Promotes Recovery After Myocardial Infarction.

Authors:  Xin Wen; Yidi Peng; Mengru Gao; Yuzhong Zhu; Yifei Zhu; Fan Yu; Tingting Zhou; Jing Shao; Lei Feng; Xin Ma
Journal:  J Am Heart Assoc       Date:  2022-03-05       Impact factor: 6.106

Review 6.  The effect of long non-coding RNAs in joint destruction of rheumatoid arthritis.

Authors:  Hanxiao Zhao; Li Li; Ning Zhao; Aiping Lu; Cheng Lu; Xiaojuan He
Journal:  Front Cell Dev Biol       Date:  2022-10-03

Review 7.  The Expression of Non-Coding RNAs and Their Target Molecules in Rheumatoid Arthritis: A Molecular Basis for Rheumatoid Pathogenesis and Its Potential Clinical Applications.

Authors:  Chang-Youh Tsai; Song-Chou Hsieh; Chih-Wei Liu; Cheng-Hsun Lu; Hsien-Tzung Liao; Ming-Han Chen; Ko-Jen Li; Cheng-Han Wu; Cheih-Yu Shen; Yu-Min Kuo; Chia-Li Yu
Journal:  Int J Mol Sci       Date:  2021-05-26       Impact factor: 5.923

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.