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Article

Propionibacterium freudenreichii Inhibits RANKL-Induced Osteoclast Differentiation and Ameliorates Rheumatoid Arthritis in Collagen-Induced Arthritis Mice

by
Jiah Yeom
1,
Dong Joon Yim
1,
Seongho Ma
1 and
Young-Hee Lim
1,2,3,*
1
Department of Integrated Biomedical and Life Sciences, Graduate School, Korea University, Seoul 02841, Korea
2
School of Biosystems and Biomedical Sciences, College of Health Science, Korea University, Seoul 02841, Korea
3
Department of Laboratory Medicine, Korea University Guro Hospital, Seoul 08308, Korea
*
Author to whom correspondence should be addressed.
Microorganisms 2022, 10(1), 48; https://doi.org/10.3390/microorganisms10010048
Submission received: 12 November 2021 / Revised: 21 December 2021 / Accepted: 21 December 2021 / Published: 27 December 2021
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Abstract

:
Osteoclast differentiation is crucial for bone absorption, and osteoclasts are involved in bone destruction in rheumatoid arthritis (RA). Dairy Propionibacterium freudenreichii is used as a cheese starter and possesses prebiotic and postbiotic properties. It is known to stimulate the growth of bifidobacteria and produces valuable metabolites, such as vitamin B12 and propionic acid. However, limited information is available on the beneficial effects of P. freudenreichii on human disease. Herein, we aimed to investigate the inhibitory effect of P. freudenreichii MJ2 (MJ2) isolated from raw milk on osteoclast differentiation and evaluate the improvement in RA. The murine macrophage cell line, RAW 264.7, and a collagen-induced arthritis (CIA) mouse model were used to perform in vitro and in vivo studies, respectively. Heat-killed P. freudenreichii MJ2 (hkMJ2)-treated cells significantly inhibited RANKL-induced osteoclast differentiation and TRAP activity. HkMJ2-treated cells exhibited significantly decreased expression of genes and proteins related to RANKL-induced osteoclast differentiation. MJ2 administration decreased the arthritic score in the CIA mouse model. Live and dead MJ2 inhibited bone loss and afforded protection against bone erosion and joint damage in CIA mice. MJ2 decreased the levels of collagen-specific antibodies and inflammatory cytokines and the expression of osteoclast differentiation-related genes and proteins in CIA mice. Interestingly, live and dead MJ2 showed similar RA improvement effects in CIA mice. In conclusion, P. freudenreichii MJ2 inhibited osteoclast differentiation by inhibiting the NF-κB signaling pathway and ameliorated CIA.

1. Introduction

Rheumatoid arthritis (RA) is a common disease that occurs in a large proportion of the global population and affects females more than males [1]. RA is an autoimmune disorder that attacks the body’s defense system and primarily causes inflammation in the joints of the knee or fingers. In addition, RA affects other organs, including the eyes, lungs, and heart, and RA-induced chronic inflammation can impact bone absorption and osteolysis [2]. Currently, no available drug can completely cure RA. However, some drugs such as steroids, nonsteroidal anti-inflammatory drugs (NSAIDs), and disease-modifying anti-rheumatic drugs (DMARDs) can delay the progression of RA or relieve pain and inflammation; however, patients taking drugs such as aspirin, antidepressants, and antihypertensives might be at a higher risk for additive effects when combined with these drugs. In addition, NSAIDs and DMARDs are known to induce side effects, such as liver damage, infection, and induction of tuberculosis [3,4]. Therefore, the development of effective and safe therapeutic agents is necessary to combat RA.
RA-induced symptoms include joint swelling, pain, and joint stiffness [2]. Since the most typical symptoms of RA are inflammation and pain, the studies for developing treatment drugs have focused mainly on reducing inflammation status [3,5]. Recently, blocking the activity of osteoclasts that absorb bone structure is now receiving attention. In RA patients’ synovium, angiogenesis and bone turnover toward osteoclasts are increased [6]. The inflow of pro-inflammatory cytokines and chemokines secreted from osteoclasts recruit more osteoclast precursors and then eventually inflammation and bone destruction are getting worse with the RA process [7]. In addition, the microenvironments in RA produce a suitable condition that facilitates osteoclasts differentiation from macrophages by increasing the receptor activator of nuclear factor-κB ligand (RANKL)/osteoprotegerin (OPG) ratio [8]. Therefore, it is important to prevent osteoclast differentiation and bone loss for the treatment of RA.
The OPG/RANKL/receptor activator of nuclear factor κ (RANK) system between osteoblasts and osteoclasts has gained momentum as a new target to alleviate bone-related diseases such as RA and osteoporosis [8]. RANKL is a member of the tumor necrosis factor (TNF) superfamily and induces osteoclast differentiation by binding to RANK, which is expressed on osteoclast precursors. OPG is a soluble decoy receptor bound to RANKL and blocks the RANKL-RANK interaction, consequently inhibiting osteoclast differentiation [9]. Therefore, the OPG/RANKL/RANK system could be a potential target for treating bone-related diseases. Specifically, as RA-induced RANKL expression is a major factor in joint destruction, chemical or biological agents capable of inhibiting RANKL expression have been developed to prevent joint destruction in patients with RA [10]. However, for adequately treating RA, most drugs primarily focus on attenuating inflammation, and only a few agents target inhibition of osteoclast differentiation, especially inhibition of the RANKL-RANK interaction. Denosumab, a fully human monoclonal anti-RANKL antibody, prevents bone erosion in RA and inhibits osteoclast differentiation and bone absorption by blocking RANKL-RANK binding [11]. Treatment with OPG afforded a preventive effect against collagen-induced arthritis (CIA), and a peptide RANK antagonist was shown to inhibit bone loss [12,13]. Bisphosphonates and zoledronic acid reportedly inhibited osteoclast differentiation [14,15].
Probiotics are well-known to improve the intestinal environment and recently, their beneficial effects on human health are extended to improve various diseases, for instance, type 2 diabetes, non-alcoholic fatty acid disease, and atopic dermatitis [16,17]. The beneficial effects of probiotics on the immune system and gut-bone axis have been recently reported, and probiotics have received considerable attention for treating autoimmune diseases such as RA [18,19]. Among the diverse probiotics, Lactobacillus and Bifidobacterium have widely been studied in various pathophysiological conditions [20,21]. Lactobacillus strains are effective in improving RA by increasing IL-10 production, regulating Th17 and B cell differentiation, reducing pro-inflammatory cytokines, and rebalancing gut microbiota [22,23,24].
Dairy Propionibacterium freudenreichii has been used as a cheese starter, and its probiotic and prebiotic properties have been revealed, including anti-inflammatory and bifidogenic activities [25,26]. Previously, we isolated a P. freudenreichii strain (designated as MJ2) from raw milk obtained from a local dairy farm and found that heat-killed P. freudenreichii promoted osteoblast differentiation and alleviated osteoporosis by increasing the OPG/RANKL ratio [27]. Therefore, based on our previous findings, we hypothesized that P. freudenreichii MJ2 could inhibit osteoclast differentiation, which contributes to the amelioration of RA. In the present study, we examined the inhibitory effect of dairy P. freudenreichii MJ2 on osteoclast differentiation and the improvement of CIA in an animal model.

2. Materials and Methods

2.1. Materials

The murine macrophage cell line, RAW 264.7, was purchased from the Korea Cell Line Bank (KCLB, Seoul, Korea). Dulbecco’s modified Eagle medium (DMEM), minimum essential medium-α modification (α-MEM), fetal bovine serum (FBS), and penicillin/streptomycin were purchased from Hyclone (Logan, UT, USA). MTT (3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide) was obtained from Amresco (Solon, OH, USA), and dimethyl sulfoxide (DMSO) was purchased from Daejung (Siheung, Korea). Recombinant murine RANK ligand (RANKL) was purchased from Peprotech (Rocky Hill, NJ, USA).

2.2. Preparation of Heat-Killed Propionibacterium freudenreichii MJ2 (hkMJ2)

P. freudenreichii MJ2 was grown in reinforced clostridial medium (RCM) at 30 °C for 48 h using an anaerobic conditioned chamber (GasPak™ EZ container system; BD, Franklin Lakes, NJ, USA). Bacterial cells were harvested by centrifugation at 3000× g for 10 min, and the pellet was washed twice with phosphate-buffered saline (PBS). After diluting bacterial cells to 1 × 109 CFU/mL, live cells were killed by heating at 100 °C for 30 min. The heat-killed P. freudenreichii MJ2 (hkMJ2) showed no growth.

2.3. Cell Culture and Cytotoxicity Assay

RAW 264.7 cells were grown in DMEM with 10% FBS, 100 U/mL penicillin, and 100 μg/mL streptomycin at 37 °C under 5% CO2. The cells were then seeded in 96-well plates at a density of 1 × 104 cells/mL. After 24 h, cells were treated with hkMJ2 (1 × 105, 1 × 106, and 1 × 107 cells/mL) for 4 days. The medium was aspirated and an MTT reagent (0.5 mg/mL) was added. After incubation at 37 °C for 1 h, the supernatant was removed, and DMSO was added to dissolve the formazan crystals. Cell viability was measured at 540 nm using a SpectraMax 340PC384 plate reader (Molecular Devices, Sunnyvale, CA, USA) and calculated as a percentage relative to the negative control group.

2.4. Tartrate-Resistant Acid Phosphatase (TRAP) Staining and Activity Assay

RAW 264.7 cells were seeded in 24-well plates at a density of 1 × 104 cells/mL. After overnight incubation at 37 °C, the medium was replaced with α-MEM to differentiate into osteoclasts. Then, cells were treated with RANKL (50 ng/mL) and hkMJ2 (1 × 105, 1 × 106, and 1 × 107 cells/mL) for 4 days. Next, cells were washed, fixed, and stained using a TRAP staining kit (Takara Biotechnology, Shiga, Japan), according to the manufacturer’s protocol. TRAP-positive (TRAP(+)) and multinucleated cells were counted under a microscope. TRAP activity was quantified as described previously [28]. Briefly, the fixed cells were incubated with 50 mM citrate buffer (pH 4.5) containing 10 mM sodium tartrate and 6 mM p-nitrophenylphosphate for 1 h. The reaction was stopped by adding an equal volume of 0.1 N NaOH solution, and the optical density was measured at 405 nm.

2.5. Quantitative Real-Time Polymerase Chain Reaction (qPCR)

RAW 264.7 cells were seeded in 24-well plates at a density of 1 × 104 cells/mL. After overnight incubation at 37 °C, the medium was replaced with α-MEM to differentiate into osteoclasts. Then, cells were treated with RANKL (50 ng/mL) and hkMJ2 (1 × 105, 1 × 106, and 1 × 107 cells/mL) for 3 days. Total RNA was extracted with Ribo-Ex reagent (GeneAll Biotechnology, Seoul, Korea), and the amount of total RNA was quantified using a NanoDrop ND-1000 Spectrophotometer (Thermo Scientific, Waltham, MA, USA). After conversion to cDNA with a RevertAid First Strand cDNA Synthesis kit (Thermo Scientific), qPCR was performed using the 7500 Fast Real-Time PCR system (Applied Biosystems, Foster City, CA, USA) using a Kapa SYBR Fast qPCR kit (Kapa Biosystems, Woburn, MA, USA). The reaction was preheated to 95 °C for 10 min, followed by 40 cycles at 95 °C for 15 s, 60 °C for 15 s, and 72 °C for 30 s. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was used as the reference gene; the primer sequences used in this study are shown in Table 1. Relative gene expression was quantified based on equal amounts of RNA, and the ΔCt (ΔCt = Cttarget gene − Ctreference gene) value was calculated. The ΔΔCt value was calculated using the following equation: ΔΔCt = (ΔCttreated − ΔCtuntreated). The normalized expression change was expressed as 2−ΔΔCt (GAPDH control was set to 1) [29]. The knee joint was excised, split into small pieces, and homogenized in Ribo-Ex reagent to extract mouse RNA. After centrifugation at 12,000× g for 10 min, total RNA was extracted from the supernatant. The qPCR process was the same as that described above.

2.6. Western Blotting

RAW 264.7 cells were seeded in 24-well plates at a density of 1 × 104 cells/mL. After overnight incubation at 37 °C, the medium was replaced with α-MEM for cell differentiation into osteoclasts. The cells were treated with RANKL (50 ng/mL) and hkMJ2 (1 × 105, 1 × 106, and 1 × 107 cells/mL) for 3 days. Then, cells were harvested, and total protein was extracted using RIPA buffer (Rockland Immunochemicals, Limerick, PA, USA) containing a Halt™ protease inhibitor cocktail (Thermo Scientific). Equal amounts of protein (10–20 μg) quantified by the Bradford assay were denatured and separated by 10% sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). The proteins were transferred to PVDF membranes (Millipore, Bedford, MA, USA) and blocked with 5% dry nonfat skim milk in Tris-buffered saline with 0.05% Tween 20 (TBST) for 2 h. After washing with TBST three times, the membrane was incubated with a primary antibody at 4 °C overnight. Antibodies against the endogenous control β-actin (1:5000 dilution, MA5-15739; Thermo Scientific), RANK (1:500 dilution, sc-374360; Santa Cruz), phosphorylated p65 NF-κB (1:1000 dilution, S536; Cell Signaling, Danvers, MA, USA), p65 NF-κB (1:1000 dilution, 8242S; Cell Signaling), c-fos (1:1000 dilution, 2250S; Cell Signaling), and NFATc1 (1:1000 dilution, BD556602; BD Biosciences, Franklin Lakes, NJ, USA) were used. After washing with TBST three times, the membrane was incubated with a secondary antibody for 1 h at room temperature (RT). A goat anti-mouse IgG (H+L) horseradish peroxidase (HRP)-conjugated antibody (1:10,000 dilution, NCI1430KR; Thermo Scientific) was used for anti-β-actin, RANK, and NFATc1 detection, and a goat anti-rabbit IgG (H+L) horseradish peroxidase-conjugated antibody (1:5000 dilution, NCI1460KR; Thermo Scientific) was used to detect other proteins. After washing with TBST, the membrane was developed using a SuperSignal West Femto Maximum Sensitivity Substrate kit (Thermo Scientific). Images were captured and quantified using the ImageJ software (National Institutes of Health, Bethesda, MD, USA).

2.7. Animal Model of Collagen-Induced Arthritis (CIA) and Scoring of Severity

Male DBA/1J mice (8 weeks of age) weighing 19–20 g were purchased from Central Lab Animal Inc. (Seoul, Korea). They were maintained at 22 ± 1 °C with a 12 h light/dark cycle at 50 ± 5% humidity. All experimental procedures were approved by the Korea University Institutional Animal Care and Use Committee (approval no. KUIACUC-2020-0025, 11/March, 2020). All experimental procedures were performed according to the Guide for the Care and Use of Laboratory Animals (NIH Publication No. 85-23, 1996). All the mice had free access to food and water. A total of 48 mice were acclimated for 7 days and randomly divided into 6 groups (n = 8 per group): normal control group (control), CIA model group (model), CIA mice treated with a high dose of live MJ2 (1 × 108 CFU/mL) group (HLMJ2), CIA mice treated with a low dose of live MJ2 (1 × 107 CFU/mL) group (LLMJ2), CIA mice treated with a high dose of dead MJ2 (1 × 108 cells/mL) group (HDMJ2), and CIA mice treated with a low dose of dead MJ2 (1 × 107 cells/mL) group (LDMJ2) (Table 2). Before CIA induction, the mice were administered live or dead MJ2 daily for 3 weeks, and the administration was continued until the end of the experiment. For CIA induction, an emulsion of 100 μg of bovine type II collagen (CII) (Chondrex, Redmond, WA, USA) in an equal volume of complete Freund’s adjuvant (CFA; Chondrex) was intradermally injected into the tail. After 21 days, a booster of an emulsion of 100 μg CII in incomplete Freund’s adjuvant (IFA; Chondrex) was injected at the same tail site. To evaluate the severity of CIA, the condition of the four paws was monitored and estimated every 4 days on a scale of 0 to 4, as shown in Table 3. The scores of the four paws were summed as arthritic scores.

2.8. Micro-Computed Tomography (CT)

Knee joints and paws were fixed in 10% neutral buffered formalin for 48 h and washed with PBS. High-quality 3-dimensional (3D) images of the mouse knee joint and paw were obtained using a SkyScan 1173 micro-CT system (ver 1.6, Konitch, Belgium). Micro-CT was performed on a 1.0 mm region at a resolution of 20 μm. The source voltage was 90 kV, and the source current was 88 μA. Nrecon (ver 1. 7. 4. 2) reconstruction program was used at 20-μm pixel size. Bone parameters, including bone surface/bone volume (BS/TV), bone mineral density (BMD), trabecular thickness (Tb.Th), trabecular number (Tb.N), trabecular separation (Tb.sp), and bone volume/tissue volume (BV/TV), were evaluated.

2.9. Histological Analysis

For histological analysis, the hind legs of mice were fixed in 10% neutral buffered formalin, demineralized in 10% ethylenediaminetetraacetate (EDTA), and embedded in paraffin blocks. Paraffin-embedded joint tissues were sectioned and stained with hematoxylin and eosin (H&E). TRAP staining was performed to observe osteoclast differentiation. The sections were observed under a DM750 reverse-phase microscope (Leica Microsystems, Wetzlar, Germany).

2.10. Measurement of Cytokines and Collagen-Specific IgG Levels

Whole blood was collected from the sacrificed mice and centrifuged at 3000× g and 4 °C for 20 min to obtain serum. The supernatant was collected, and interleukin (IL)-6, TNF-α, and IL-10 levels were measured using an ELISA kit (Thermo Scientific) according to the manufacturer’s instructions. In addition, the levels of total type II collagen-specific IgG (CII-IgG), CII-IgG1, and CII-IgG2a were measured as previously described [30]. In brief, the immunoplate was coated with CII (5 mg/mL) (Chondrex) and incubated at 4 °C overnight. The plate was blocked with 1% bovine serum albumin, and 100 μL of each serum sample was added. After incubation at RT for 2 h, the plate was washed five times with PBS containing 0.05% Tween 20 (PBST) and incubated with biotin-conjugated anti-mouse total IgG antibody (1:250 dilution; 88-50400, Thermo Scientific), HRP-conjugated anti-mouse IgG1 antibody (1:250; 88-50410; Thermo Scientific), and HRP-conjugated anti-mouse IgG2a antibody (1:250; 88-50420, Thermo Scientific) at RT for 1 h. To detect the biotin-conjugated antibody, the plate was subsequently incubated with the avidin-HRP solution at RT for 30 min. After five washes, tetramethylbenzidine (TMB) solution was added for 15 min, and the reaction was stopped by adding 1 N HCl solution. The absorbance was measured at 450 nm, and the relative concentration was calculated and compared with the control group.

2.11. Statistical Analysis

In vitro experimental values are expressed as the mean ± standard deviation (SD), and in vivo experimental values are expressed as the mean ± standard error of the mean (SEM). Statistical analyses were performed using SPSS 24.0 (IBM Corp., Armonk, NY, USA). Differences between any two groups were examined using the Student’s t-test, and differences among groups were determined by one-way analysis of variance (ANOVA), followed by Tukey’s honestly significant difference (HSD) post-hoc test. Statistical significance was set at p < 0.05.

3. Results

3.1. Cytotoxicity of hkMJ2 in RAW 264.7 Cells

RAW 264.7 cells, a murine macrophage cell line, are known to readily differentiate into osteoclast following RANKL exposure [31], and thus RAW 264.7 cells were used to investigate the inhibitory effect of hkMJ2 on osteoclast differentiation. The MTT assay was employed to determine the cytotoxicity of hkMJ2 against RAW 264.7. We observed that cells treated with hkMJ2 (1 × 105, 1 × 106, and 1 × 107 cells/mL) showed a significant increase in viability (Figure 1). Therefore, we used hkMJ2 at the concentrations in the following experiments.

3.2. HkMJ2 Inhibits Osteoclastogenesis and TRAP Activity in Raw 264.7 Cells

To investigate the inhibitory effect of hkMJ2 on osteoclast formation, TRAP(+) multinucleated osteoclast differentiation was measured using TRAP staining and activity assay. Although the number of TRAP(+) osteoclasts in the 1 × 105 cells/mL of hkMJ2-treated cells did not significantly decrease, 1 × 106 and 1 × 107 cells/mL hkMJ2 treatment showed a significant inhibitory effect on TRAP(+) osteoclast formation (Figure 2A,B). TRAP activity significantly (p < 0.000) decreased in the hkMJ2-treated cells in a dose-dependent manner when compared with the RANKL-only treated group (Figure 2C). Osteoclasts are TRAP(+) multinucleated cells that show high TRAP expression. TRAP participates in osteoclast-mediated bone turnover; thus, overexpression of TRAP is associated with increased bone turnover [32]. TRAP staining showed that hkMJ2 decreased the formation of mature osteoclasts, indicating that hkMJ2 inhibits osteoclastogenesis and TRAP activity.

3.3. HkMJ2 Decreases the Expression Levels of Osteoclast-Related Genes and Proteins

To investigate the effect of hkMJ2 on the expression levels of genes and proteins related to osteoclast differentiation, we performed qPCR and western blotting, respectively. RANK expression was significantly decreased in the cells treated with 1 × 106 and 1 × 107 cells/mL hkMJ2 when compared with those treated with RANKL alone (Figure 3A). In addition, the expression levels of RANKL-induced osteoclastogenic genes, including nuclear factor kappa light chain enhancer of activated B cells (NF-κB), c-fos, and nuclear factor of activated T-cells cytoplasmic 1 (NFATc1), were significantly decreased in hkMJ2-treated cells in a dose-dependent manner when compared with those treated with RANKL alone. At the protein level, the expression levels of RANK and NFATc1 were significantly reduced in hkMJ2-treated cells in a dose-dependent manner when compared with those treated with RANKL alone (Figure 3B,C). The level of activated NF-κB significantly (p < 0.000) decreased in the cells treated with 1 × 107 cells/mL hkMJ2 and the level of c-fos significantly decreased in the cells treated with 1 × 106 and 1 × 107 cells/mL hkMJ2 when compared with those treated with RANKL alone. Following hkMJ2 treatment, expression levels of NFATc1-downstream genes such as V-type proton ATPase subunit d2 (Atp6v0d2), calcitonin receptor (Calcr), and cathepsin K (Ctsk), significantly decreased in a dose-dependent manner (Figure 3D). The results suggest that hkMJ2 inhibits RANKL-induced osteoclast differentiation by inhibiting the NF-κB signaling pathway.

3.4. MJ2 Attenuates Collagen-Induced Arthritis (CIA)-Associated Symptoms

To evaluate the ameliorative effect of MJ2 on RA in vivo, a CIA mouse model was established. MJ2 treatment did not significantly affect the incidence of arthritis, however, MJ2 treatment showed a decreasing trend in the incidence of arthritis (Figure 4A). On the other hand, oral administration of dead MJ2 significantly decreased the arthritis score when compared with the model group, while although live MJ2 showed a reduced arthritis score, it failed to demonstrate a significant suppressive effect (Figure 4B,C). In CIA model mice, the most commonly used arthritis model, live and dead MJ2 administration alleviated arthritis, although it did not significantly reduce the incidence of arthritis.
Although total IgG levels were unaltered, the serum CII-specific IgG1 levels in HLMJ2 and LLMJ2 groups significantly decreased, and the serum CII-specific IgG2a levels of all MJ2-administrated groups significantly decreased when compared with the model group (Figure 4D). These results suggested that MJ2 administration can ameliorate arthritis by decreasing the level of collagen-specific IgG antibodies.

3.5. MJ2 Inhibits the Bone Erosion in CIA Mice

Micro-CT was performed to evaluate the degree of distortion and erosion of the knee and plantar bones. Although no significant difference in the plantar bone distortion was observed, the knee bone joint in the model group was distinctly damaged when compared with the normal control, and those of the MJ2-administrated groups were reduced the joint destruction when compared with the model group (Figure 5A). administration, Especially in the HDMJ2 group, BS/TV, BMD, BV/TV, Tb.Th, and Tb.N significantly increased and Tb.sp significantly decreased when compared with the model group (Table 4). BMD significantly increased in all MJ2-treated groups except HLMJ2 and Tb.Th significantly increased in all MJ2-treated groups compared with the model group. Interestingly, the results showed that dead MJ2 was more effective than live MJ2 in the CIA in vivo model.
Histopathological analysis of the knee joint section revealed that tissue damage and bone erosion deteriorated in the model group when compared with the NC group. However, the MJ2-administered groups showed ameliorated bone erosion, leukocyte infiltration, and cartilage damage when compared with the model group (Figure 5B). These results suggested that MJ2 administration inhibits bone loss and affords protection against bone erosion and joint damage in a CIA mouse model.

3.6. MJ2 Decreases the Levels of Proinflammatory Cytokines and Increases the Level of IL-10 in CIA Mice

We next evaluated the effect of MJ2 on CIA-mediated pro-inflammatory and anti-inflammatory cytokine production. Accordingly, we measured the cytokine levels in mouse serum using ELISA. The expression levels of typical pro-inflammatory cytokines, IL-6 and TNF-α, were significantly (p < 0.000) elevated following CIA induction, and MJ2 administration typically reduced the levels of pro-inflammatory cytokines (Figure 6A). Although the level of IL-6 did not significantly decrease in the MJ2-administrated group, the expression level of TNF-α was significantly reduced in the LLMJ2 (p = 0.046) and LDMJ2 (p = 0.021) groups when compared with the model group. Conversely, the expression level of the anti-inflammatory cytokine, IL-10, was increased in the MJ2-administered groups, although only the HDMJ2 group displayed statistical significance when compared with the model group (Figure 6B). The expression level of IL-17, which leads to the worsening of RA, was significantly decreased in the LDMJ2 (p = 0.014) and HDMJ2 (p = 0.003) groups when compared with the model group (Figure 6C). These results suggested that MJ2 improves inflammation by decreasing pro-inflammatory cytokines and increasing IL-10 levels.

3.7. MJ2 Inhibits the Osteoclast Differentiation in CIA Mice

TRAP staining was performed to evaluate the effect of MJ2 on osteoclast differentiation in the CIA model. TRAP(+) osteoclasts were observed at the erosion front within the synovium, and the number of stained cells was significantly higher in the model group (p < 0.000) than that in the normal control. In addition, TRAP(+) osteoclasts were significantly decreased in the MJ2-administrated groups, except in the HLMJ2 group, compared with the model group (Figure 7A,B). TRAP-positive multinucleated cells are known to be present in the synovium at sites of cartilage destruction in patients with RA [33]. Furthermore, TRAP-positive multinucleated cells produce MMP-2 (matrix metalloproteinase-2) and MMP-9, which may contribute to cartilage destruction of bone in patients with RA.
Among the osteoclast differentiation-related genes, expression levels of NFATc1 and Calcr were significantly reduced in the MJ2-administered groups and expression levels of Ctsk and MMP9 were significantly reduced in the MJ2-administered groups except for the LDMJ2 group when compared with the model group (Figure 7C). Meanwhile, the OPG/RANKL ratio, an indicator of inhibition of osteoclast differentiation, was significantly increased by MJ2 administration (Figure 7D). P. freudenreichii MJ2 reportedly increases osteoblast differentiation and BMD by enhancing the OPG/RANKL ratio [27]. In the present study, the OPG/RANKL ratio was significantly increased in MJ2 administered groups, which might contribute to an increase in BMD by inhibiting osteoclast differentiation. These results consisted of the results of BMD in the MJ2-administered groups except the HLMJ2 group in Table 4. These results suggested that MJ2 administration inhibits osteoclast differentiation and TRAP activity in the CIA mouse model.

4. Discussion

Probiotics are useful bacteria that improve human health, and they are being studied in many different fields. Among them, Lactobacillus and Bifidobacterium species are the main probiotics that have been extensively studied [34,35,36]. Lactobacilli show a protective effect against CIA and interestingly, their ability to alleviate RA are different according to the species [37]. L. casei, L. rhamnosus, and L. fermentum protect RA through modulating immune response and rebalancing gut microbiota, while L. salivarius delays the development of RA without affecting immune response. A probiotic L. casei shows a protective effect against gut dysbiosis and bone destruction in complete Freund’s adjuvant (CFA)-induced RA [38]. The gut-joint axis has been studied to apply for the treatment of RA, which means that modulation of the gut microbiota might be useful to prevent or treat RA [39]. The alteration of the gut microbiome and a perturbation of metabolites involved in energy production and the metabolism of fatty acid and secondary bile acid could contribute to the development of RA. In this study, P. freudenreichii MJ2 improves RA and protects bone destruction. In a further study, we need to analyze the gut microbiome to confirm that administration of P. freudenreichii MJ2 restores gut dysbiosis in the CIA model. Beneficial gut microbiota produces short-chain fatty acids (SCFAs) such as butyrate, propionate, and acetate that serve as substrates for other gut microbial members. Lactobacillus and Bifidobacterium produce SCFAs, which contribute to preventing gut dysbiosis. Increased levels of SCFAs in RA patients administered a high-fiber diet decrease pro-inflammatory cytokines and modulate gut microbiota composition, which contributes to improving RA [40]. SCFA supplementation directly or through a high-fiber diet protects bone loss [41] and shows beneficial effects on bone homeostasis in RA patients [42]. Oral administration of P. freudenreichii MJ2 settles in the gut and increases the level of propionic acid in the feces of the rats with dextran sodium sulfate (DSS)-induced colitis [43]. It suggests that propionic acid produced by P. freudenreichii MJ2 may contribute to improving CIA.
RA is a typical disease that occurs in all age groups; however, the exact cause is still unknown [1]. Since RA is characterized by continuous inflammation in the joints, it leads to pain and further bone destruction [44]. Osteoclasts are the major cells that destroy the bone matrix and exacerbate inflammation in RA [7]. Thus, inhibition of osteoclast differentiation is an emerging new target to treat RA [10]. Osteoclasts are multinucleated cells that are differentiated from monocyte-macrophage lineage. RANKL is a key factor of osteoclast differentiation and bone destruction in RA. In the process of osteoclast differentiation, RANKL stimulates the adhesion of osteoclast precursor cells to the bone matrix, and then, activated immature osteoclasts gradually differentiate into a mature state [10]. Osteoclasts attach to the bone surface matrix, create an acidic environment, and secrete osteoclast differentiation-related factors, including TRAP, Ctsk, and Calcr, which mediate bone destruction [45]. L. reuteri 6475 and its metabolite, lactobacillic acid prevent osteoclastogenesis via binding to a long-chain fatty acid receptor, GPR120, on the surface of RAW264.7 cells [46]. L. rhamnosus prevents bone loss through inhibiting osteoclastogenesis in RANKL-induced osteoclast differentiation and through immunomodulation in ovariectomy mice [47]. P. freudenreichii MJ2 strain isolated from raw milk shows anti-inflammatory activity and improves bone health by promoting osteoblast differentiation [27]. In this study, we found that P. freudenreichii MJ2 inhibited osteoclast differentiation in RANKL-induced in vitro model. P. freudenreichii MJ2 inhibited the expression levels of NFATc1, which is a master transcription regulator of osteoclast, and ctsk, calcr, and atp6vod2 which play a role in bone resorption by osteoclast. In TRAP and f-actin staining, P. freudenreichii MJ2 decreased the formation of mature osteoclast. The NF-κB signaling pathway is involved in RANKL-induced osteoclast differentiation [48]. RANKL stimulates the expression of NFATc1 through NF-κB and c-Fos activation [49]. NFATc1, a master regulator of osteoclast differentiation, is activated in the early stage of osteoclast differentiation by c-Fos, followed by inducing the production of factors involved in bone resorption of osteoclasts, such as TRAP, cathepsin K (Ctsk), calcitonin receptor (Calcr), and matrix metallopeptidase (MMP)-9. Thus, NFATc1 and c-Fos are key factors for osteoclast differentiation. In the present study, hkMJ2 inhibited the gene expression and activation of NF-κB, as well as significantly decreased gene and protein expression levels of NFATc1 and c-Fos and expression levels of NFATc1-downstream genes, suggesting that hkMJ2 inhibits RANKL-induced osteoclast differentiation by inhibiting the NF-κB signaling pathway.
The collagen-induced arthritis (CIA) model is the most typical in vivo model of arthritis in which CIA susceptible DBA/1 mouse is used [50,51]. L. salivarius delays the onset of CIA, while it shows no relief from the severity of CIA [37]. Interestingly, in this study, although it was not effective in the reduction of arthritis incidence, oral administration of P. freudenreichii MJ2 alleviated arthritic scores such as swelling of paw and degree of redness. P. freudenreichii MJ2 administration decreased the level of collagen-specific IgG2 antibody that indicates the severity of RA. IgG2 aggravates arthritis by recruiting neutrophils and macrophages in the inflamed lesion [52], thus the reduced CII-IgG2 level by P. freudenreichii MJ2 might lead to a reduction of inflammatory response resulted in the alleviation of RA severity. Furthermore, P. freudenreichii MJ2 decreased the level of TNF-α and IL-17 that are important indicators of inflammation, while P. freudenreichii MJ2 administration increased IL-10, a representative anti-inflammatory cytokine. TNF-α and IL-17 exacerbate RA by promoting monocyte activation and osteoclastogenesis [53,54]. In addition, P. freudenreichii MJ2 administration increased the OPG/RANKL ratio and inhibited osteoclast activity, which might prevent joint bone deterioration and destruction in the CIA model. These results suggest that P. freudenreichii MJ2 alleviated RA symptoms by blocking osteoclast differentiation, enhancing the production of IL-10, and inhibiting the production of pro-inflammatory cytokines. Taken together, P. freudenreichii MJ2 alleviates RA symptoms and inflammation without reducing the incidence of RA, thus P. freudenreichii MJ2 might alleviate RA symptoms rather than prevent the development of RA itself.

5. Conclusions

P. freudenreichii MJ2 inhibits osteoclast differentiation by inhibiting the NF-κB signaling pathway and preventing CIA and bone destruction. In addition, we observed that both live and dead P. freudenreichii MJ2 improved RA in a CIA animal model. Dairy P. freudenreichii has been listed as “generally recognized as safe” (GRAS) by the Food and Drug Administration, which implies that P. freudenreichii MJ2 is safe. Therefore, our findings suggest that P. freudenreichii MJ2 isolated from raw milk could potentially be developed as an agent for alleviating RA. Further studies are necessary to elucidate the effective component(s) and mode of action of P. freudenreichii MJ2 on RA amelioration.

Author Contributions

Conceptualization, J.Y. and Y.-H.L.; methodology, J.Y., D.J.Y. and S.M.; software, J.Y. and D.J.Y.; validation, J.Y., D.J.Y. and Y.-H.L.; formal analysis, J.Y., D.J.Y. and S.M.; investigation, J.Y., D.J.Y. and S.M.; data curation, J.Y. and D.J.Y.; writing—original draft preparation, J.Y.; writing—review and editing, Y.-H.L.; visualization, J.Y., D.J.Y. and S.M.; supervision, Y.-H.L.; project administration, Y.-H.L.; funding acquisition, Y.-H.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (NRF-2019R1A2C1087003).

Institutional Review Board Statement

The experimental protocol was approved by the Korea University Institutional Animal Care and Use Committee (Approval No. KUIACUC-2020-0025). All experimental procedures were performed in accordance with the Guide for the Care and Use of Laboratory Animals (NIH Publication No. 85–23, 1996).

Informed Consent Statement

Not applicable.

Data Availability Statement

The information on the data utilized for analysis is provided in the Section 2 of this manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Safiri, S.; Kolahi, A.A.; Hoy, D.; Smith, E.; Bettampadi, D.; Mansournia, M.A.; Almasi-Hashiani, A.; Ashrafi-Asgarabad, A.; Moradi-Lakeh, M.; Qorbani, M.; et al. Global, regional and national burden of rheumatoid arthritis 1990–2017: A systematic analysis of the Global Burden of Disease study 2017. Ann. Rheum. Dis. 2019, 78, 1463–1471. [Google Scholar] [CrossRef]
  2. Kareem, R.; Botleroo, R.A.; Bhandari, R.; Ogeyingbo, O.D.; Ahmed, R.; Gyawali, M.; Venkatesan, N.; Elhaikh, A.O. The Impact of Rheumatoid Arthritis on Bone Loss: Links to Osteoporosis and Osteopenia. Cureus 2021, 13, e17519. [Google Scholar] [CrossRef]
  3. Crofford, L.J. Use of NSAIDs in treating patients with arthritis. Arthritis Res. Ther. 2013, 15 (Suppl. S3), S2. [Google Scholar] [CrossRef] [Green Version]
  4. Benjamin, O.; Bansal, P.; Goyal, A.; Lappin, S.L. Disease modifying anti-rheumatic drugs (DMARD). In StatPearls; StatPearls Publishing: Treasure Island, FL, USA, 2021. Available online: https://www.ncbi.nlm.nih.gov/books/NBK507863/ (accessed on 6 July 2021).
  5. Schuna, A.A.; Megeff, C. New drugs for the treatment of rheumatoid arthritis. Am. J. Health Syst. Pharm. 2000, 57, 225–234. [Google Scholar] [CrossRef] [PubMed]
  6. Tanaka, S. Emerging anti-osteoclast therapy for rheumatoid arthritis. J. Orthop. Sci. 2018, 23, 717–721. [Google Scholar] [CrossRef] [PubMed]
  7. Sato, K.; Takayanagi, H. Osteoclasts, rheumatoid arthritis, and osteoimmunology. Curr. Opin. Rheumatol. 2006, 18, 419–426. [Google Scholar] [CrossRef]
  8. Haynes, D.; Crotti, T.; Loric, M.; Bain, G.; Atkins, G.; Findlay, D. Osteoprotegerin and receptor activator of nuclear factor kappaB ligand (RANKL) regulate osteoclast formation by cells in the human rheumatoid arthritic joint. Rheumatology 2001, 40, 623–630. [Google Scholar] [CrossRef] [PubMed]
  9. Yu, H.; de Vos, P.; Ren, Y. Overexpression of osteoprotegerin promotes preosteoblast differentiation to mature osteoblasts. Angle Orthod. 2011, 81, 100–106. [Google Scholar] [CrossRef] [PubMed]
  10. Tanaka, S. RANKL is a therapeutic target of bone destruction in rheumatoid arthritis. F1000Research 2019, 8, F1000 Faculty Rev-533. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Chiu, Y.G.; Ritchlin, C.T. Denosumab: Targeting the RANKL pathway to treat rheumatoid arthritis. Expert Opin. Biol. Ther. 2017, 17, 119–128. [Google Scholar] [CrossRef] [Green Version]
  12. Romas, E.; Sims, N.A.; Hards, D.K.; Lindsay, M.; Quinn, J.W.; Ryan, P.F.; Dunstan, C.R.; Martin, T.J.; Gillespie, M.T. Osteoprotegerin reduces osteoclast numbers and prevents bone erosion in collagen-induced arthritis. Am. J. Pathol. 2002, 161, 1419–1427. [Google Scholar] [CrossRef] [Green Version]
  13. Téletchéa, S.; Stresing, V.; Hervouet, S.; Baud’Huin, M.; Heymann, M.F.; Bertho, G.; Charrier, C.; Ando, K.; Heymann, D. Novel RANK antagonists for the treatment of bone-resorptive disease: Theoretical predictions and experimental validation. J. Bone Miner. Res. 2014, 29, 1466–1477. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Iwase, M.; Kim, K.J.; Kobayashi, Y.; Itoh, M.; Itoh, T. A novel bisphosphonate inhibits inflammatory bone resorption in a rat osteolysis model with continuous infusion of polyethylene particles. J. Orthop. Res. 2002, 20, 499–505. [Google Scholar] [CrossRef]
  15. Herrak, P.; Görtz, B.; Hayer, S.; Redlich, K.; Reiter, E.; Gasser, J.; Bergmeister, H.; Kollias, G.; Smolen, J.S.; Schett, G. Zoledronic acid protects against local and systemic bone loss in tumor necrosis factor–mediated arthritis. Arthritis Rheum. 2004, 50, 2327–2337. [Google Scholar] [CrossRef]
  16. Markowiak, P.; Śliżewska, K. Effects of probiotics, prebiotics, and synbiotics on human health. Nutrients 2017, 9, 1021. [Google Scholar] [CrossRef] [PubMed]
  17. Hashempour-Baltork, F.; Sheikh, M.; Eskandarzadeh, S.; Tarlak, F.; Tripathi, A.D.; Khosravi-Darani, K.; Sadanov, A. The Effect of Probiotics on Various Diseases and their Therapeutic Role: An Update Review. J. Pure Appl. Microbiol. 2021, 15, 1042–1059. [Google Scholar] [CrossRef]
  18. Behera, J.; Ison, J.; Tyagi, S.C.; Tyagi, N. The role of gut microbiota in bone homeostasis. Bone 2020, 135, 115317. [Google Scholar] [CrossRef]
  19. Oliviero, F.; Spinella, P. Benefits of Probiotics in Rheumatic Diseases. Front. Nutr. 2020, 7, 157. [Google Scholar] [CrossRef]
  20. Devi, S.M.; Kurrey, N.K.; Halami, P.M. In vitro anti-inflammatory activity among probiotic Lactobacillus species isolated from fermented foods. J. Funct. Foods 2018, 47, 19–27. [Google Scholar] [CrossRef]
  21. Riedel, C.U.; Foata, F.; Philippe, D.; Adolfsson, O.; Eikmanns, B.J.; Blum, S. Anti-inflammatory effects of bifidobacteria by inhibition of LPS-induced NF-κB activation. World J. Gastroenterol. 2006, 12, 3729–3735. [Google Scholar] [CrossRef]
  22. Jhun, J.; Min, H.K.; Ryu, J.; Lee, S.-Y.; Ryu, J.-G.; Choi, J.W.; Na, H.S.; Lee, S.Y.; Jung, Y.; Park, S.-J. Lactobacillus sakei suppresses collagen-induced arthritis and modulates the differentiation of T helper 17 cells and regulatory B cells. J. Transl. Med. 2020, 18, 317. [Google Scholar] [CrossRef]
  23. Kim, J.-E.; Chae, C.S.; Kim, G.-C.; Hwang, W.; Hwang, J.-S.; Hwang, S.-M.; Kim, Y.; Ahn, Y.-T.; Park, S.-G.; Jun, C.-D. Lactobacillus helveticus suppresses experimental rheumatoid arthritis by reducing inflammatory T cell responses. J. Funct. Foods 2015, 13, 350–362. [Google Scholar] [CrossRef]
  24. Fan, Z.; Ross, R.P.; Stanton, C.; Hou, B.; Zhao, J.; Zhang, H.; Yang, B.; Chen, W. Lactobacillus casei CCFM1074 Alleviates Collagen-Induced Arthritis in Rats via Balancing Treg/Th17 and Modulating the Metabolites and Gut Microbiota. Front. Immunol. 2021, 12, 680073. [Google Scholar] [CrossRef]
  25. Zárate, G. Dairy Propionibacteria: Less conventional probiotics to improve the human and animal health. In Probiotic in Animals; InTech: London, UK, 2012; pp. 153–202. [Google Scholar]
  26. Le Maréchal, C.; Peton, V.; Plé, C.; Vroland, C.; Jardin, J.; Briard-Bion, V.; Durant, G.; Chuat, V.; Loux, V.; Foligné, B. Surface proteins of Propionibacterium freudenreichii are involved in its anti-inflammatory properties. J. Proteom. 2015, 113, 447–461. [Google Scholar] [CrossRef]
  27. Yeom, J.; Ma, S.; Lim, Y.-H. Probiotic Propionibacterium freudenreichii MJ2 Enhances Osteoblast Differentiation and Mineralization by Increasing the OPG/RANKL Ratio. Microorganisms 2021, 9, 673. [Google Scholar] [CrossRef] [PubMed]
  28. Thao, N.P.; Luyen, B.T.T.; Lee, S.H.; Jang, H.D.; Kim, Y.H. Anti-osteoporotic and antioxidant activities by rhizomes of Kaempferia parviflora Wall. ex Baker. Nat. Prod. Sci. 2016, 22, 13–19. [Google Scholar] [CrossRef] [Green Version]
  29. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2− ΔΔCT method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
  30. Yamashita, M.; Matsumoto, K.; Endo, T.; Ukibe, K.; Hosoya, T.; Matsubara, Y.; Nakagawa, H.; Sakai, F.; Miyazaki, T. Preventive effect of Lactobacillus helveticus SBT2171 on collagen-induced arthritis in mice. Front. Microbiol. 2017, 8, 1159. [Google Scholar] [CrossRef]
  31. Collin-Osdoby, P.; Osdoby, P. RANKL-mediated osteoclast formation from murine RAW 264.7 cells. Methods Mol. Biol. 2012, 816, 187–202. [Google Scholar]
  32. Ljusberg, J.; Wang, Y.; Lång, P.; Norgård, M.; Dodds, R.; Hultenby, K.; Ek-Rylander, B.; Andersson, G. Proteolytic Excision of a Repressive Loop Domain in Tartrate-resistant Acid Phosphatase by Cathepsin K in Osteoclasts. J. Biol. Chem. 2005, 280, 28370–28381. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Tsuboi, H.; Matsui, Y.; Hayashida, K.; Yamane, S.; Maeda-Tanimura, M.; Nampei, A.; Hashimoto, J.; Suzuki, R.; Yoshikawa, H.; Ochi, T. Tartrate resistant acid phosphatase (TRAP) positive cells in rheumatoid synovium may induce the destruction of articular cartilage. Ann. Rheum. Dis. 2003, 62, 196–203. [Google Scholar] [CrossRef] [PubMed]
  34. Vlasova, A.N.; Kandasamy, S.; Chattha, K.S.; Rajashekara, G.; Saif, L.J. Comparison of probiotic lactobacilli and bifidobacteria effects, immune responses and rotavirus vaccines and infection in different host species. Vet. Immunol. Immunopathol. 2016, 172, 72–84. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Vissers, Y.M.; Snel, J.; Zuurendonk, P.F.; Smit, B.A.; Wichers, H.J.; Savelkoul, H.F. Differential effects of Lactobacillus acidophilus and Lactobacillus plantarum strains on cytokine induction in human peripheral blood mononuclear cells. FEMS Immunol. Med. Microbiol. 2010, 59, 60–70. [Google Scholar] [CrossRef] [Green Version]
  36. Azaïs-Braesco, V.; Bresson, J.; Guarner, F.; Corthier, G. Not all lactic acid bacteria are probiotics,… but some are. Br. J. Nutr. 2010, 103, 1079–1081. [Google Scholar] [CrossRef] [Green Version]
  37. Fan, Z.; Yang, B.; Ross, R.P.; Stanton, C.; Zhao, J.; Zhang, H.; Chen, W. The prophylactic effects of different Lactobacilli on collagen-induced arthritis in rats. Food Funct. 2020, 11, 3681–3694. [Google Scholar] [CrossRef]
  38. Pan, H.; Guo, R.; Ju, Y.; Wang, Q.; Zhu, J.; Xie, Y.; Zheng, Y.; Li, T.; Liu, Z.; Lu, L.; et al. A single bacterium restores the microbiome dysbiosis to protect bones from destruction in a rat model of rheumatoid arthritis. Microbiome 2019, 7, 107. [Google Scholar] [CrossRef] [Green Version]
  39. Zaiss, M.M.; Joyce Wu, H.-J.; Mauro, D.; Schett, G.; Ciccia, F. The gut-joint axis in rheumatoid arthritis. Nat. Rev. Rheumatol. 2021, 17, 224–237. [Google Scholar] [CrossRef]
  40. Dürholz, K.; Hofmann, J.; Iljazovic, A.; Häger, J.; Lucas, S.; Sarter, K.; Strowig, T.; Bang, H.; Rech, J.; Schett, G.; et al. Dietary Short-Term Fiber Interventions in Arthritis Patients Increase Systemic SCFA Levels and Regulate Inflammation. Nutrients 2020, 12, 3207. [Google Scholar] [CrossRef] [PubMed]
  41. Lucas, S.; Omata, Y.; Hofmann, J.; Böttcher, M.; Iljazovic, A.; Sarter, K.; Albrecht, O.; Schulz, O.; Krishnacoumar, B.; Krönke, G.; et al. Short-chain fatty acids regulate systemic bone mass and protect from pathological bone loss. Nat. Commun. 2018, 9, 55. [Google Scholar] [CrossRef] [Green Version]
  42. Häger, J.; Bang, H.; Hagen, M.; Frech, M.; Träger, P.; Sokolova, M.V.; Steffen, U.; Tascilar, K.; Sarter, K.; Schett, G.; et al. The Role of Dietary Fiber in Rheumatoid Arthritis Patients: A Feasibility Study. Nutrients 2019, 11, 2392. [Google Scholar] [CrossRef] [Green Version]
  43. Ma, S.; Yeom, J.; Lim, Y.-H. Dairy Propionibacterium freudenreichii ameliorates acute colitis by stimulating MUC2 expression in intestinal goblet cell in a DSS-induced colitis rat model. Sci. Rep. 2020, 10, 5523. [Google Scholar] [CrossRef]
  44. Burmester, G.R.; Feist, E.; Dörner, T. Emerging cell and cytokine targets in rheumatoid arthritis. Nat. Rev. Rheumatol. 2014, 10, 77–88. [Google Scholar] [CrossRef] [PubMed]
  45. Bernhardt, A.; Koperski, K.; Schumacher, M.; Gelinsky, M. Relevance of osteoclast-specific enzyme activities in cell-based in vitro resorption assays. Eur. Cells Mater. 2017, 33, 28–42. [Google Scholar] [CrossRef]
  46. Quach, D.; Parameswaran, N.; McCabe, L.; Britton, R.A. Characterizing how probiotic Lactobacillus reuteri 6475 and lactobacillic acid mediate suppression of osteoclast differentiation. Bone Rep. 2019, 11, 100227. [Google Scholar] [CrossRef] [PubMed]
  47. Sapra, L.; Dar, H.Y.; Bhardwaj, A.; Pandey, A.; Kumari, S.; Azam, Z.; Upmanyu, V.; Anwar, A.; Shukla, P.; Mishra, P.K.; et al. Lactobacillus rhamnosus attenuates bone loss and maintains bone health by skewing Treg-Th17 cell balance in Ovx mice. Sci. Rep. 2021, 11, 1807. [Google Scholar] [CrossRef] [PubMed]
  48. Boyce, B.F.; Xiu, Y.; Li, J.; Xing, L.; Yao, Z. NF-κB-Mediated Regulation of Osteoclastogenesis. Endocrinol. Metab. 2015, 30, 35–44. [Google Scholar] [CrossRef] [Green Version]
  49. Kim, J.H.; Kim, N. Regulation of NFATc1 in Osteoclast Differentiation. J. Bone Metab. 2014, 21, 233–241. [Google Scholar] [CrossRef] [Green Version]
  50. Pietrosimone, K.M.; Jin, M.; Poston, B.; Liu, P. Collagen-Induced Arthritis: A model for Murine Autoimmune Arthritis. Bio. Protoc. 2015, 5, e1626. [Google Scholar] [CrossRef]
  51. Brand, D.D.; Latham, K.A.; Rosloniec, E.F. Collagen-induced arthritis. Nat. Protoc. 2007, 2, 1269–1275. [Google Scholar] [CrossRef]
  52. Cho, Y.-G.; Cho, M.-L.; Min, S.-Y.; Kim, H.-Y. Type II collagen autoimmunity in a mouse model of human rheumatoid arthritis. Autoimmun. Rev. 2007, 7, 65–70. [Google Scholar] [CrossRef]
  53. Vasanthi, P.; Nalini, G.; Rajasekhar, G. Role of tumor necrosis factor-alpha in rheumatoid arthritis: A review. APLAR J. Rheumatol. 2007, 10, 270–274. [Google Scholar] [CrossRef]
  54. Gaffen, S.L. The role of interleukin-17 in the pathogenesis of rheumatoid arthritis. Curr. Rheumatol. Rep. 2009, 11, 365–370. [Google Scholar] [CrossRef] [PubMed]
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Figure 1. Cytotoxicity of hkMJ2 against RAW 264.7 cells. The values indicate the mean ± standard deviation (SD) of three independent experiments performed in triplicate. A Student’s t-test was used to determine the significance of the difference.
Figure 1. Cytotoxicity of hkMJ2 against RAW 264.7 cells. The values indicate the mean ± standard deviation (SD) of three independent experiments performed in triplicate. A Student’s t-test was used to determine the significance of the difference.
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Figure 2. Effect of hkMJ2 on TRAP(+) number and TRAP activity. RANKL-induced osteoclast formation was measured by TRAP staining (A) (100×, scale bar = 100 μm), and the number of TRAP(+) multinucleated osteoclasts were counted (B), and TRAP activity was quantified (C). The values indicate the mean ± standard deviation (SD) of three independent experiments performed in triplicate. RANKL, receptor activator of the nuclear factor-κB ligand; TRAP, tartrate-resistant acid phosphatase. −, no addition; +, addition. One-way ANOVA followed by Tukey’s HSD was used to determine significance.
Figure 2. Effect of hkMJ2 on TRAP(+) number and TRAP activity. RANKL-induced osteoclast formation was measured by TRAP staining (A) (100×, scale bar = 100 μm), and the number of TRAP(+) multinucleated osteoclasts were counted (B), and TRAP activity was quantified (C). The values indicate the mean ± standard deviation (SD) of three independent experiments performed in triplicate. RANKL, receptor activator of the nuclear factor-κB ligand; TRAP, tartrate-resistant acid phosphatase. −, no addition; +, addition. One-way ANOVA followed by Tukey’s HSD was used to determine significance.
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Figure 3. Effects of hkMJ2 on the expression levels of osteoclast differentiation-related genes and proteins in the RANKL-induced cells. The expression levels of RANKL-induced osteoclastogenic genes were measured by qPCR (A) and proteins were measured by western blotting (B) and quantified (C). The expression levels of NFATc1-downstream genes were measured by qPCR (D). The values indicate the mean ± standard deviation (SD) of three independent experiments performed in triplicate. NFATc1, nuclear factor of activated T-cells cytoplasmic 1; RANKL, receptor activator of nuclear factor-κB ligand; RANK, receptor activator of nuclear factor-κB; NF-κB, nuclear factor kappa light chain enhancer of activated B cells; Atp6v0d2, V-type proton ATPase subunit d2; Calcr, calcitonin receptor; Ctsk, cathepsin K. −, no addition; +, addition. One way ANOVA followed by Tukey’s HSD was used to determine significance.
Figure 3. Effects of hkMJ2 on the expression levels of osteoclast differentiation-related genes and proteins in the RANKL-induced cells. The expression levels of RANKL-induced osteoclastogenic genes were measured by qPCR (A) and proteins were measured by western blotting (B) and quantified (C). The expression levels of NFATc1-downstream genes were measured by qPCR (D). The values indicate the mean ± standard deviation (SD) of three independent experiments performed in triplicate. NFATc1, nuclear factor of activated T-cells cytoplasmic 1; RANKL, receptor activator of nuclear factor-κB ligand; RANK, receptor activator of nuclear factor-κB; NF-κB, nuclear factor kappa light chain enhancer of activated B cells; Atp6v0d2, V-type proton ATPase subunit d2; Calcr, calcitonin receptor; Ctsk, cathepsin K. −, no addition; +, addition. One way ANOVA followed by Tukey’s HSD was used to determine significance.
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Figure 4. Effects of MJ2 on collagen-induced arthritis (CIA)-associated symptoms (n = 8 per group). Incidence of arthritis (A), rheumatic clinical score (B), and representative images of mice paw thickness (C). Levels of collagen-specific IgG antibodies were measured by ELISA (D). Data values indicate the mean ± standard error of the mean (SEM). One way ANOVA followed by Tukey’s HSD was used to determine significance.
Figure 4. Effects of MJ2 on collagen-induced arthritis (CIA)-associated symptoms (n = 8 per group). Incidence of arthritis (A), rheumatic clinical score (B), and representative images of mice paw thickness (C). Levels of collagen-specific IgG antibodies were measured by ELISA (D). Data values indicate the mean ± standard error of the mean (SEM). One way ANOVA followed by Tukey’s HSD was used to determine significance.
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Figure 5. Ameliorative effect of MJ2 on bone erosion in CIA mice (n = 8 per group). Mice knee joint and paw were observed by micro-CT. Representative images of mice knee and paw (A). The inflammation in the mice knee joint was observed by hematoxylin-eosin staining (B) (100×, scale bar = 200 μm). Data values indicate the mean ± standard error of the mean (SEM). One way ANOVA followed by Tukey’s HSD was used to determine significance. CIA, collage-induced arthritis.
Figure 5. Ameliorative effect of MJ2 on bone erosion in CIA mice (n = 8 per group). Mice knee joint and paw were observed by micro-CT. Representative images of mice knee and paw (A). The inflammation in the mice knee joint was observed by hematoxylin-eosin staining (B) (100×, scale bar = 200 μm). Data values indicate the mean ± standard error of the mean (SEM). One way ANOVA followed by Tukey’s HSD was used to determine significance. CIA, collage-induced arthritis.
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Figure 6. Effect of MJ2 on the expression levels of pro-inflammatory and anti-inflammatory cytokines in CIA mice (n = 8 per group). Protein levels of pro-inflammatory (A) and anti-inflammatory (B) cytokines were measured in mice serum by ELISA. Gene expression levels of IL-17 were measured in the knee joint of mice by qPCR (C). Data values indicate the mean ± standard error of the mean (SEM). One way ANOVA followed by Tukey’s HSD was used to determine significance. CIA, collagen-induced arthritis; IL, interleukin; TNF-α, tumor necrosis factor-α.
Figure 6. Effect of MJ2 on the expression levels of pro-inflammatory and anti-inflammatory cytokines in CIA mice (n = 8 per group). Protein levels of pro-inflammatory (A) and anti-inflammatory (B) cytokines were measured in mice serum by ELISA. Gene expression levels of IL-17 were measured in the knee joint of mice by qPCR (C). Data values indicate the mean ± standard error of the mean (SEM). One way ANOVA followed by Tukey’s HSD was used to determine significance. CIA, collagen-induced arthritis; IL, interleukin; TNF-α, tumor necrosis factor-α.
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Figure 7. Inhibitory effect of MJ2 on osteoclast differentiation in CIA mice (n = 8 per group). Osteoclasts were stained with TRAP staining in mice knee joints (100×, scale bar = 100 μm) (A), and TRAP(+) cells were counted (B). Expression levels of osteoclast differentiation-related genes (C) and OPG/RANKL ratio (D) were measured by qPCR. Data values indicate the mean ± standard error of the mean (SEM). One-way ANOVA followed by Tukey’s HSD was used to determine significance. CIA, collagen-induced arthritis; TRAP, tartrate-resistant acid phosphatase; NFATc1, nuclear factor of activated T-cells cytoplasmic 1; Calcr, calcitonin receptor; Ctsk, cathepsin K; MMP-9, matrix metalloproteinase-9; RANKL, receptor activator of the nuclear factor-κB ligand; OPG, osteoprotegerin.
Figure 7. Inhibitory effect of MJ2 on osteoclast differentiation in CIA mice (n = 8 per group). Osteoclasts were stained with TRAP staining in mice knee joints (100×, scale bar = 100 μm) (A), and TRAP(+) cells were counted (B). Expression levels of osteoclast differentiation-related genes (C) and OPG/RANKL ratio (D) were measured by qPCR. Data values indicate the mean ± standard error of the mean (SEM). One-way ANOVA followed by Tukey’s HSD was used to determine significance. CIA, collagen-induced arthritis; TRAP, tartrate-resistant acid phosphatase; NFATc1, nuclear factor of activated T-cells cytoplasmic 1; Calcr, calcitonin receptor; Ctsk, cathepsin K; MMP-9, matrix metalloproteinase-9; RANKL, receptor activator of the nuclear factor-κB ligand; OPG, osteoprotegerin.
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Table
Table 1. Primer sequences used for qPCR.
Table 1. Primer sequences used for qPCR.
GeneForward (5′→3′)Reverse (5′→3′)
GAPDHACCCAGAAGACTGTGGATGGCACATTGGGGGTAGGAACAC
RANKTGCAGCTCAACAAGGATACGGAGCTGCAGACCACATCTGA
NF-κBTCCTGGCCTCTAGCCTTGTAGCCAAGGAAGAAAAGTGCTG
c-fosCCAGTCAAGAGCATCAGCAAAAGTAGTGCAGCCCGGAGTA
NFATc1GGTGCTGTCTGGCCATAACTGCGGAAAGGTGGTATCTCAA
MMP9GAAGGCAAACCCTGTGTGTTAGAGTACTGCTTGCCCAGGA
Atp6v0d2GACCCTGTGGCACTTTTTGTGCTTGCATTTGGGGAATCTA
CalcrCGGACTTTGACACAGCAGAAGTCACCCTCTGGCAGCTAAG
CtskCAGCTTCCCCAAGATGTGATAGCACCAACGAGAGGAGAAA
OPGCTGCCTGGGAAGAAGATCAGTTGTGAAGCTGTGCAGGAAC
RANKLAGCCGAGACTACGGCAAGTAGCGCTCGAAAGTACAGGAAC
IL-17TGAGTCCAGGGAGAGCTTCATTCATTGCGGTGGAGAGTCC
Table
Table 2. Animal groups were used in this study.
Table 2. Animal groups were used in this study.
GroupTreatmentCIA Induction
Normal controlPBS−
ModelPBS+
LLMJ2Low-dose live P. freudenreichii MJ2 (1 × 107 CFU/mL)+
HLMJ2High-dose live P. freudenreichii MJ2 (1 × 108 CFU/mL)+
LDMJ2Low-dose dead P. freudenreichii MJ2 (1 × 107 cells/mL)+
HDMJ2High-dose dead P. freudenreichii MJ2 (1 × 108 cells/mL)+
PBS, phosphate-buffered saline; CIA, collagen-induced arthritis. −, no CIA induction; +, CIA induction.
Table
Table 3. Qualitative scoring system to assess the severity of CIA inflammation.
Table 3. Qualitative scoring system to assess the severity of CIA inflammation.
ScoreCondition
0No signs
1Mild but definite redness and swelling of the ankle or wrist, or apparent redness and swelling limited to individual digits, regardless of the number of affected digits
2Moderate redness and swelling of ankle or wrist
3Severe redness and swelling of the entire paw, including digits
4Maximally inflamed limb with involvement of multiple joints
CIA, collagen-induced arthritis.
Table
Table 4. Bone parameters in CIA mice measured by micro-CT (n = 8 per group).
Table 4. Bone parameters in CIA mice measured by micro-CT (n = 8 per group).
GroupBS/TV (1/mm)BMD (g/cm3)BV/TV (%)Tb.Th (mm)Tb.N (1/mm)Tb.sp (mm)
Control12.513 ± 0.343 ###0.293 ± 0.007 ###34.293 ± 0.823 ###0.111 ± 0.002 ###3.152 ± 0.077 ###0.184 ± 0.007 ###
Model4.992 ± 0.834 ***0.131 ± 0.007 ***8.092 ± 1.118 ***0.082 ± 0.002 ***0.976 ± 0.115 ***0.340 ± 0.022 ***
LLMJ27.356 ± 0.8640.186 ± 0.016 #13.131 ± 1.1850.105 ± 0.003 ##1.353 ± 0.1620.262 ± 0.013 #
HLMJ26.369 ± 0.2950.168 ± 0.00913.235 ± 1.1610.098 ± 0.007 #1.344 ± 0.0500.275 ± 0.021
LDMJ26.500 ± 0.3360.197 ± 0.008 ##12.792 ± 1.1660.110 ± 0.001 ###1.373 ± 0.1100.312 ± 0.016
HDMJ28.376 ± 0.956 #0.193 ± 0.015 ##16.418 ± 3.474 #0.113 ± 0.002 ###1.930 ± 0.308 ##0.244 ± 0.007 ##
One way ANOVA followed by Tukey’s HSD was used to determine significance. *** p < 0.001 compared with the control; # p < 0.05, ## p < 0.01, ### p < 0.001 compared with the model. BMD, bone mineral density; BS/TV, bone surface/bone volume; BV/TV, bone volume/tissue volume; Tb.N, trabecular number; Tb.Th, trabecular thickness; Tb.sp, trabecular separation.
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Yeom, J.; Yim, D.J.; Ma, S.; Lim, Y.-H. Propionibacterium freudenreichii Inhibits RANKL-Induced Osteoclast Differentiation and Ameliorates Rheumatoid Arthritis in Collagen-Induced Arthritis Mice. Microorganisms 2022, 10, 48. https://doi.org/10.3390/microorganisms10010048

AMA Style

Yeom J, Yim DJ, Ma S, Lim Y-H. Propionibacterium freudenreichii Inhibits RANKL-Induced Osteoclast Differentiation and Ameliorates Rheumatoid Arthritis in Collagen-Induced Arthritis Mice. Microorganisms. 2022; 10(1):48. https://doi.org/10.3390/microorganisms10010048

Chicago/Turabian Style

Yeom, Jiah, Dong Joon Yim, Seongho Ma, and Young-Hee Lim. 2022. "Propionibacterium freudenreichii Inhibits RANKL-Induced Osteoclast Differentiation and Ameliorates Rheumatoid Arthritis in Collagen-Induced Arthritis Mice" Microorganisms 10, no. 1: 48. https://doi.org/10.3390/microorganisms10010048

APA Style

Yeom, J., Yim, D. J., Ma, S., & Lim, Y. -H. (2022). Propionibacterium freudenreichii Inhibits RANKL-Induced Osteoclast Differentiation and Ameliorates Rheumatoid Arthritis in Collagen-Induced Arthritis Mice. Microorganisms, 10(1), 48. https://doi.org/10.3390/microorganisms10010048

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