Gender-specific differential expression of exosomal miRNA in synovial fluid of patients with osteoarthritis


The pathogenesis of osteoarthritis (OA) is poorly understood, and therapeutic approaches are limited to preventing progression of the disease. Recent studies have shown that exosomes play a vital role in cell-to-cell communication, and pathogenesis of many age-related diseases. Molecular profiling of synovial fluid derived exosomal miRNAs may increase our understanding of OA progression and may lead to the discovery of novel biomarkers and therapeutic targets. In this article we report the first characterization of exosomes miRNAs from human synovial fluid. The synovial fluid exosomes share similar characteristics (size, surface marker, miRNA content) with previously described exosomes in other body fluids. MiRNA microarray analysis showed OA specific exosomal miRNA of male and female OA. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identified gender-specific target genes/signaling pathways. These pathway analyses showed that female OA specific miRNAs are estrogen responsive and target TLR (toll-like receptor) signaling pathways. Furthermore, articular chondrocytes treated with OA derived extracellular vesicles had decreased expression of anabolic genes and elevated expression of catabolic and inflammatory genes. In conclusion, synovial fluid exosomal miRNA content is altered in patients with OA and these changes are gender specific.


Osteoarthritis (OA) is a degenerative joint disease affecting 14% of adults aged 25 years and older and 34% of those older than 65 in the United States1. Importantly, the prevalence of OA is higher among women than men, and the risk for developing OA increases among women after menopause2, 3. The severity of OA often worsens with age, and currently no effective treatment exists to prevent the initiation and progression of the disease4. One of the limiting factors for ineffective OA therapeutics is partly due to an inability to diagnose early and a lack of understanding of the pathophysiology. Early diagnosis is a key factor in the prevention and management of disease. Routinely, OA is diagnosed through radiographic and physical examination, and these diagnostic methods are relatively poor for early diagnosis of OA5. Synovial fluid is the best source of body fluid which can be obtained by minimal invasion for OA diagnosis. Synovial fluid is a viscous body fluid found in the cavities of joints secreted by an inner layer of synovial membrane6. The earliest pathophysiological changes in a degenerative knee joint are first present in synovial fluid. To date, no studies have been attempted to identify differentially secreted extracellular vesicles (EVs) and their miRNA expression pattern in the synovial fluid of osteoarthritic patients. Therefore we hypothesized that, the knee joint (articular cartilage and adjacent tissue) secretes EVs containing different sets of miRNAs (in the synovial fluid) during healthy and degenerative states of disease, and that altered EVs contribute to cartilage degeneration by transporting specific miRNAs. Furthermore, identifying these special sets of miRNAs in EVs will help in early diagnosis and prevention of further damage to articular cartilage.

Almost all metabolically active cells secrete extracellular vesicles (EVs) (exosomes and micro-vesicles) including articular cartilage joint cells7,8,9. Exosomes are small (40–100 nm diameter) vesicles containing specific proteins, lipids, and RNA molecules that are secreted by cells into the extracellular space8,9,10,11,12. These EVs are now recognized to play a vital role in several age-related diseases12,13,14. Moreover, EVs are important molecules in cell-to-cell communication and take part in various metabolic activities8,9,10,11,12,13,14,15,16,17. A set of microRNAs (miRNAs) captured in EVs secreted by the knee joint in synovial fluid has high potential as a biomarker for early and accurate diagnosis of OA. In this study, we isolated EVs from synovial fluid of osteoarthritic (OA) and non-osteoarthritic (NON-OA) patients, captured miRNAs from these EVs and used these miRNAs to perform miRNA array to identify differentially expressed miRNAs. In doing so, we identified both differential expression of miRNAs in synovial fluid from OA patients and gender specific miRNAs within the OA population.

Material and Methods

Patient Samples

All methods were performed in accordance with the relevant guidelines and regulations of Augusta University and were approved by its ethical committee. De-identified discarded human synovial fluid waste samples were used for this study and does not required informed consent. All studies were performed with approval from the Augusta University Institutional Review Board (IRB). Normal and osteoarthritic human synovial fluid was obtained from the knee joints of patients undergoing arthrocentesis/total knee arthroplasty procedures. Further details are summarized in supplemental tables (Table S1). The synovial fluid was obtained from the operating room at the time of surgery, transported to the laboratory, and immediately used for exosome isolation.

Preparation of exosome-enriched fractions

Exosome fractions were prepared by a step-wise centrifugation method18,19,20. Briefly, 1 ml synovial fluid was centrifuged at 3000 RPM for 20 minutes to remove the cell debris, and then Total Exosome Isolation Reagent (Life Technologies, Carlsbad, CA) was used to isolate exosomes as per manufacturer protocol. This protocol involved initial precipitation followed by centrifugation. After centrifugation, pellets were dissolved in 200 ul of phosphate-buffered saline (PBS) as exosome-enriched fractions.

Nanoparticle tracking analysis

EV particle size and concentration were measured using nanoparticle tracking analysis (NTA) with ZetaView PMX 110 (Particle Metrix, Meerbusch, Germany)18, 21, 22 and corresponding software ZetaView. Isolated exosome samples were appropriately diluted using 1X PBS buffer (Life Technologies, Carlsbad, CA, USA) to measure the particle size and concentration. NTA measurement was recorded and analyzed at 11 different positions. The ZetaView system was calibrated using 100 nm polystyrene particles and temperature was maintained at 23 °C.

Electron microscopy (EM) and Immuno-gold labeling of EVs

Transmission electron microscopy and an immunogold labeling method were used to validate our isolation approach. EM imaging of EVs preparations was performed as described previously18, 23, 24, with some modifications. Briefly, EVs were fixed in 1% glutaraldehyde for 2–4 hours. The fixed EVs then layered and dried on Formvar coated 200 mesh copper grids (Polysciences, Inc. PA, USA). Grids were then stained with 1% uranyl acetate in water. Grids were allowed to air dry before being examined in a JEM 1230 transmission electron microscope (JEOL USA Inc., Peabody MA) at 110 kV and imaged with an UltraScan 4000 CCD camera & First Light Digital Camera Controller (Gatan Inc., Pleasanton, CA.) For Immuno-gold labeling, established surface marker for extracellular vesicles CD9 was used. The samples were probed using antibodies diluted 1:100 to CD9 (Santa Cruz, rabbit polyclonal). Exosome samples were fixed in 4% paraformaldehyde, 2% glutaraldehyde in 0.1 M cacodylate buffer pH 7.4 overnight. The microvesicles (20 µl) was applied to a carbon-Formvar coated 200 mesh copper grid and allowed to stand 30–60 seconds, and the excess wicked off onto Whatman filter paper. Grids were floated on drops of 1.4 nm anti-Rabbit nanogold (Nanoprobes, Inc.) diluted 1:1000 in blocking buffer for 1 hour. Grids were enhanced 1 minute in HQ Silver (gold enhancement reagent, Nanoprobes, Inc.) and rinsed in ice cold DI H2O to stop enhancement and then negatively stained in 2% aqueous Uranyl Acetate and wicked dry. Images were captures as described above.

Western blot analysis

Extracellular vesicles were lysed in RIPA buffer containing proteinase inhibitor cocktail (Sigma) followed by quantification of total protein concentration using a Bradford assay (Bio-Rad Laboratories) according to the manufacturer’s protocol. Equivalent amounts of total lysate were subjected to SDS-PAGE and transferred to nitrocellulose membranes. Membranes were incubated with an antibody against CD81, CD63 and TSG101 (Santa Cruz, CA) overnight at 4 °C, followed by incubation with HRP-conjugated goat anti-rabbit IgG antibody. Proteins were visualized with an ECL Western blot detection system (Thermo Scientific, Waltham, MA).

EV miRNA isolation and microarray profiling

miRNAs were isolated from extracellular vesicles using Qiagen miRNeasy Kit according to manufacturer’s protocol. The concentration of miRNA was determined using a NanoDrop spectrophotometer (Thermo Scientific) and the quality of miRNA was analyzed using an Agilent 2100 Bioanalyzer. Microarrays were performed on miRNA using an Affymetrix GeneChip® miRNA 4.0 Array at the Integrated Genomics Core, Augusta University, GA. Details of the procedure can be found online at The miRNA profile was analyzed for supervised as well as unsupervised hierarchical clustering to generate heat maps between male and female OA and NON-OA samples.

Normalization, statistical analysis and pathway analysis of microRNA array

miRNA expressions were compared between the groups. The housekeeping genes (snoRNA251, snoRNA202, snoRNA142, and U6) in the miRNA PCR arrays, were averaged as the endogenous control and the NON-OA group was used as external control for normalization of samples. T-tests were used to calculate the p value to determine the significant difference for miRNA expression between the groups (OA and NON-OA). The p value cutoff of 0.05 and the miRNAs with a fold change above 1.5 were considered differentially expressed for further analyses. Gene Ontology (GO) and KEGG signaling pathway analyses were performed using DIANA-miRPath v 3.0 ( on differentially expressed microRNAs target genes25. GO and KEGG word clouds were generated using the online Wordle software ( Principal component analysis (PCA) was performed between male and female OA samples.

Validation of miRNAs using real-time PCR

Real-time PCR was performed on randomly selected miRNAs (miR-6878-3p, miR-210-5p, miR-16-2-3p,miR-26a-5p, miR-146a-5p and miR-6821-5p) to validate miRNA array data in age matched male (NON-OA, n = 9 and OA, n = 15) and female donor samples (NON-OA, n = 9 and OA, n = 16-18). EV miRNAs were isolated as described above. Two hundred nanograms of enriched miRNAs were converted into cDNA using miScript II RT Kit (from Qiagen). Fifty pictograms of cDNA were amplified in each qRT-PCR using SYBR Green I and miR specific primers. The real-time qRT-PCR was performed on a Bio-Rad MyiQ machine with following cycling parameters: 95 °C for 10 mins, then 40 cycles of 95 °C for 15 s, 60 °C for 30 s and 72 °C for 30 s. SYBR Green fluorescence was recorded from every well during the annealing step of each cycle. A melt curve was generated to analyze the purity of amplification products. The average of RNU6 (RNA, U6 small nuclear 2) and SNORD (small nucleolar RNA, C/D box) was used as normalization reference genes for miRs. Relative expression of miRNA was evaluated by using the comparative CT method (ΔΔCt).

OA-derived EVs regulate articular chondrocyte gene expression and cell survival

Female articular chondrocytes (AC) were isolated from healthy donors as per published method26, 27. The AC cells were cultured in 24 well plates and treated with OA and NON-OA synovial fluid derived EVs (40 µg/ml) separately with 1% FBS (exosome free) media for 48 hrs. We pulled down exosomes from 6 female donor’s [age matched in each group (6-OA and 6-NON-OA separately] to perform this experiment. Collagen type II, aggrecan, IL-6, and TNFα gene expressions were performed using real time PCR [Primers details in supplemental tables S2 (Table S2)]. MTT assays were performed on cells to analyze cell survivability and gelatin zymography was performed on cell culture supernatant for MMPs activity. MTT assay28 and gelatin zymography29 were performed as per published methods.

In vitro miRNA transfection and estrogen inhibitory studies

For miRNA transfection studies, AC cells were cultured in 24 well plates. Scrambled (Negative control) miRNA and miRNA mimics for miR-181d-3p, miR-185-5p and miR-7107-5p were purchased from QIAGEN. Lipofectamine 2000 was utilized for transfecting miRNA mimics (20 nM) in AC cells according to the manufacturer’s instructions and our published protocol28. After 24 hrs, transfected cells were used for mRNA isolation and followed by real time PCR.

To identify the role of estrogen signaling on EVs miRNA cargo, primary synovial fibroblast cells were isolated as previously described by Zimmermann et al.30. Synovial fibroblast were plated on 100 mm plate cultured in phenol red–free culture medium containing 5% charcoal-treated fetal bovine serum for 24 hrs to eliminate the estrogen-like effect of phenol red and fetal bovine serum. The cells were then cultured with or without letrozole (20 nM) for 24 hrs in 1% charcoal-treated fetal bovine serum. Letrozole is a non-steroid aromatase inhibitor, which selectively prevent estrogen synthesis31. Exosomes were isolated after 24 hrs of treatment as per described above, followed by miRNA isolation and real-time PCR on selected miRNAs.

Synovial fluid derived extracellular vesicles RNA are endocytosed by chondrocytes

Extracellular vesicles isolated from OA patient’s synovial fluid were labeled with Exo-Red dye (Cat: EXOR100A-1, SBI, CA, USA). Exo-Red stain fluorescently-labels single-stranded RNA cargo of exosomes. Labeling of exosomal RNA was performed as per manufactures protocol. Briefly, 10 μL of Exo-Red was added to 100 μL of extracellular vesicles suspension and incubated for 15 min at 37 °C. The labeled exosomes were precipitated using ExoQuick-tissue culture reagent. Articular chondrocyte (AC) cells were treated with labeled exosomes for 12 hrs and endocytosis was confirmed by fluorescence microscope.

Statistical analysis

Data are presented as fold-changes or percentages with mean ± SEM as indicated in the figure legends. GraphPad Prism 5 (La Jolla, CA) was utilized to perform unpaired t-tests as appropriate. A p-value of 0.05 was considered significant.


Human synovial fluid contains high concentration of extracellular vesicles

We isolated EVs from synovial fluid of non-osteoarthritic (NON-OA) and OA patients utilizing Total Exosome Isolation Reagent, precipitation and centrifugation. This method is recognized to produce the high purity, quality, and yield of extracellular vesicles isolated from biological fluids18,19,20. To confirm the presence of EVs, they were examined using electron microscopy, immuno-gold staining and western blot. Electron micrographs revealed that the isolated EV particles consisted of primarily round shaped vesicles (Fig. 1a). Immuno-gold staining showed positive staining for exosome markers CD9 (Fig. 1a). Western blot analysis showed band of exosome markers Tsg101, CD63 and CD81 (Fig. 1b). Nanoparticle tracking analysis was performed using the ZetaView instrument from MicroTrac. These data showed that vesicles isolated from synovial fluid are in the ~100 (±10) nm diameter size ranges (Fig. 1c), consistent with the known size of EVs7,8,9,10,11,12.

Figure 1

Characterization of synovial fluid derived-EVs. (a) Transmission electron microscope images of immuno-gold labeled of EVs showing positive labeling for the exosome markers CD9 (arrows). (b) Western blot demonstrating the expression of CD81, CD63, and TSG101 in four different patients and (c) Particle size distribution EVs (average size 100 nm), measured by ZetaView® Particle Tracking Analyzer. Cropped gels were displayed and full-length gels and blot were included in the Supplementary Information file.

OA alters synovial EV miRNA expression in a gender-specific manner

The size and concentration of EVs are almost similar between OA and NON-OA patient’s synovial fluid. Synovial fluid derived EVs were used to isolate miRNAs using Qiagen miRNeasy kit. Bioanalyzer traces show these vesicles are highly enriched in miRNAs. Microarrays were performed using an Affymetrix GeneChip® miRNA 4.0 Array at the Integrated Genomics Core, Augusta University, GA to identify OA specific miRNAs. Age matched NON-OA (n = 3) and OA (n = 4) of each gender with no significant co-morbidities (diabetes, cardiovascular, HIV, or other diseases) were used to perform miRNA array. We found that miRNA content of the EVs differ between OA and NON-OA groups (Tables 1 and 2). In male 69 miRNAs were significantly down-regulated and 45 miRNAs were up-regulated where as in female, 91 miRNAs down-regulated and 53 miRNAs up-regulated. Interestingly, the data showed gender specific differences in miRNA content in osteoarthritis EVs. The principal component analysis (PCA) plots also suggest a clear separation of differentially expressed miRNAs in male and female OA (Fig. 2b). The supervised (Fig. 2a) heat map clustering showed clear difference between OA and NON-OA in both male female samples. Un-supervised (Supplementary Fig. S1) heat map clustering showed trends of difference between OA and NON-OA of both genders. MiR-504-3p is the only common miRNA up-regulated in both male and female OA patients. Tables 1 and 2 shows selected miRNAs dysregulated in EVs isolated from OA synovial fluid.

Table 1 Selected miRNAs differentially regulated in male.
Table 2 Selected miRNAs differentially regulated in female OA.
Figure 2

Alteration in the miRNAs carried by EVs in osteoarthritis synovial fluid. Heat-map of (a) male OA (n = 4) and NON-OA (n = 3) and female OA (n = 4) and Non-OA (n = 3). (b) Principle component analysis (PCA) mapping of female OA and male OA profiling. Female OA group (indicated by red color) was clustered distinctly from male group (indicated by blue color).

To further verify the result obtained from miRNA microarrays, we performed real-time PCR on randomly selected miRNAs to validate miRNA alterations in age matched male (NON-OA, n = 9 and OA, n = 15) and female donor samples (NON-OA, n = 9 and OA, n = 16-18). miRNA real time PCR showed similar changes as noted in miRNA array (Fig. 3). In female samples, we found that miR-16-2-3p (p = 0.085) up-regulated and miR-26a-5p (p = 0.01), miR-146a-5p (p = 0.01830) and miR-6821-5p (p = 0.017) down-regulated. In male samples, we found that miR-6878-3p (p = 0.0823) down-regulated and miR-210-5p (p = 0.2033) up-regulated similar to our array findings. Our data therefore suggest that miRNAs carried by extracellular vesicles in the synovial fluid are significantly altered with the osteoarthritic condition and are highly gender specific.

Figure 3

OA alters the miRNAs content in synovial derived EVs in gender specific manner. Real-time PCR validation showing change in miRNA expression in female samples [n = 9 (NON-OA) and n = 16–18 (OA)] (a) miR-16-2-3p (p = 0.085), (b) miR-6821-5p (p = 0.017), (c) miR-26a-5p (p = 0.01), and d) miR-146a-5p (p = 0.01830) and e) miR-210-5p (p = 0.2033) and f) miR-6878-3p (p = 0.0823) in male samples [n = 9 (NON-OA) and n = 15 (OA)].

GO and KEGG pathway analysis of differentially expressed miRNAs

To identify functions of the differentially expressed miRNAs, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation and GO analysis were performed.

The KEGG annotation analysis for down-regulated miRNAs in OA for both male and female showed glycan degradation, cell adhesion molecules (CAMs) and mucin type O-Glycan biosynthesis were involved whereas for up-regulated miRNAs, thyroid hormone synthesis, biotin metabolism and amphetamine addiction signaling were involved (Table S3). The KEGG annotation analysis for female OA patients showed involvement in ovarian steroidogenesis signaling and estrogen signaling pathway. Details of KEGG annotation analysis for both male and female are shown in Supplementary Table S3.

GO analysis showed more than 45 biological processes were associated with the down-regulated and up-regulated miRNAs both in male and female OA patients (Table S4). Male and female OA showed some common biological processes such as organelle, ion binding, biosynthetic process, cellular protein metabolic process and others (Table S4). Additionally, we found differentially regulated GO pathways in male and females. The male OA up-regulated miRNAs showed more than 53 GO biological processes altered whereas female showed only about 22. The most differentially regulated GO biological processes by up-regulated miRNAs in males are cell-cell signaling, immune system process, response to stress, and number of TLR signaling pathways whereas in females; they are cellular lipid metabolic process, mitotic cell cycle and clathrin-sculpted monoamine transport vesicle membrane signaling. Similarly, the down-regulated miRNAs showed a number of GO biological processes altered in OA. The female OA down-regulated miRNAs showed more than 70 GO biological processes altered whereas male showed only about 49. The most differentially regulated GO biological processes by down-regulated miRNAs in females are cell-cell signaling, immune system process, innate immune response and number of TLR signaling pathways whereas in males; they are various metabolic process (such as glycosaminoglycan, chondroitin sulfate, phospholipid, keratan sulfate), extracellular matrix organization, cellular component assembly and others. Details of GO analysis for both male and female are shown in (Table S4). Wordle-based clouds were generated for both KEGG and GO analysis (Fig. 4). Word clouds demonstrate the font size depending on relative word frequencies in KEGG and GO analysis.

Figure 4

Wordle-based clouds for combine differentially (up and down-regulated) regulated miRNAs of (a) KEGG male, (b) KEGG female, (c) GO male and (d) GO female analysis. Word clouds demonstrating the font size depending on relative word frequencies in KEGG and GO analysis.

MicroRNAs regulate expression of estrogen signaling genes in articular chondrocytes

To determine whether OA related miRNAs are involved in estrogen-mediated gene regulation of articular chondrocytes, the cells were treated with miRNA mimics (181d-3p, miR-185-5p, miR-7107-5p) for 24 h and estrogen signaling pathway genes were analyzed. Quantitative real time PCR showed that miRNA mimics of 181d-3p and miR-185-5p significantly (p < 0.01) down-regulated the expression of estrogen receptor-α, estrogen receptor-β, and aromatase cytochrome P450. MicroRNA-7107-5p mimic significantly (p < 0.01) down-regulated expression of estrogen receptor-α and estrogen receptor-β, but produced no change in aromatase cytochrome P450 (CYP19A1) (Fig. 5). We also found that miR-185-5p and miR-7107-5p significantly (p < 0.05) down regulated expression of CREB-binding protein whereas miR-181d-3p did not show significant change in expression of CREB-binding protein (Fig. 5). Surprisingly, miR-181d-3p significantly (p < 0.01) up-regulated nuclear receptor co-repressor (n-COR) and no change in TIF2 (Transcriptional Intermediary Factor 2).The miR-185-5p and miR-7107-5p mimics did not show any changes in n-COR and TIF2 gene expressions (Fig. 5).

Figure 5

MicroRNAs regulate expression of estrogen signaling genes in articular chondrocytes. MiRNAs (181d-3p, miR-185-5p, miR-7107-5p) regulates (a) ER-α (estrogen receptor- α), (b) ER-β estrogen receptor- β), (c) CYP19 (aromatase cytochrome P450), (d) CREB-binding protein, (e) nCOR (Nuclear Receptor Co-repressor) and (f) TIF2 (Transcriptional Intermediary Factor 2) in human articular chondrocytes. Data (means ± SD, n = 6) are represented as the fold change in expression compared with control (*p < 0.05, **p < 0.01).

Estrogen signaling regulates EVs miRNA cargo of primary synovial fibroblast cells

We hypothesized that estrogen might play an important role in EV-derived miRNA in the knee joint. To test this hypothesis, we treated synovial-fibroblast like cells with aromatase inhibitor and analyzed miRNA content of EVs secreted from cells. Synovial membrane-derived cells (synovial fibroblasts) were used because of their established role in osteoarthritis progression32. Our approach was based on our understanding that exosomes secreted from one cell type (synovial fibroblast) release their cargo into target cells (articular cartilage) and trigger downstream effect/signaling pathways. Our results show that treatment with an aromatase inhibitor significantly decreases content of miR-26a-5p (p < 0.01), miR-146a-5p (p < 0.07), miR-328-5p (p < 0.01), and miR-4654 (p < 0.01) (Fig. 6). We did not find any significant changes in content of miR-181d-3p and miR-7107-5p in EVs cargo.

Figure 6

Estrogen signaling regulates EVs miRNA cargo of primary synovial fibroblast cells. Estrogen inhibitor (Letrozole) down-regulates (a) miR-26a-5p, (b) miR-146a-5p, (c) miR-328-5p, (d) miR-4654 and up-regulated (e) miR-7107-5p in EVs cargo of human synovial fibroblast cells. Data (means ± SD, n = 4–6,) are represented as the fold change in expression compared with control (*p < 0.05, **p < 0.01).

RNA from synovial fluid-derived extracellular vesicles is endocytosed by chondrocytes

We tested the hypothesis that extracellular vesicles isolated from OA patients’ synovial fluid might be taken up by human chondrocytes. To confirm the endocytosis process, human AC cells were treated with Exo-Red labelled (Cat: EXOR100A-1, SBI, USA) EVs. We found that human chondrocytes readily endocytose these EVs and their RNAs as indicated by positive red-fluorescence staining (Fig. 7).

Figure 7

Human articular chondrocytes cells accumulate synovial fluid derived EVs. Human articular chondrocytes cells were treated with mock (negative control) and synovial fluid derived EVs labeled with Exo-Red dye. Chondrocytes cells endocytose Exo-Red-labeled exosomes.

OA-derived EVs regulate articular chondrocyte gene expression and cell survival

To gain further insight into the pathogenesis of OA, we examined the effect of EVs on articular chondrocytes. We treated articular chondrocytes from healthy females with EVs derived from patients with or without OA. Cell survival is a crucial element in OA pathogenesis. We therefore performed cell survival assays and gene expression analysis after treatment with EVs. Our results showed a significant decrease in cell survival with treatment using OA-derived EVs (*P < 0.05) (Fig. 8a). Moreover, our zymography results showed significant increase of MMPs (MMP-2 and MMP-9) activity in cell culture supernatant (Fig. 8b). The gene expression of extracellular matrix synthesis genes (Aggrecan, COL-II) decreased whereas inflammatory (IL-6, TNFα) gene expression significantly increased (Fig. 9). Overall, the treatment of OA-derived EVs decrease chondrocyte survival and anabolic gene expression and increase catabolic gene expression. These data indicate that OA-derived EVs play a vital role in chondrocyte pathophysiology.

Figure 8

OA derived EVs decrease cell survival and increase MMPs activity. (a) Healthy articular chondrocytes treated with NON-OA and OA derived EVs exosomes at concentrations of 40 µg/ml for 48 hrs followed by MTT assay (n = 8/group #P < .001). (b) Representative SDS-PAGE zymography reveals OA derived EVs enhanced MMPs activity in the cell culture supernatant. Gelatin zymography shows MMP-9 and MMP-2 activities in the culture medium of NON-OA and OA treated exosomes (40 µg/ml) for 48 hrs.

Figure 9

OA derived EVs regulate articular chondrocytes gene expression. Healthy articular chondrocytes treated with NON-OA and OA derived EVs exosomes at concentrations of 40 µg/ml for 48 hrs followed by RT-PCR, (a) Aggrecan (b) Collagen type II (c) IL-6 and (d) TNF-α. Data (means ± SD, n = 6) are represented as the fold change in expression compared with control (*p < 0.05).


Synovial fluid is useful for monitoring pathophysiological changes in the joint space because of its direct and intimate relationship with synovial membrane, articular cartilage and other tissue types of knee joint. Recently, a number of studies investigated synovial fluid content, such as protein, cellular metabolites and miRNAs for its role in pathophysiology and possible biomarkers33, 34. Skriner et al. previously reported that synovial exosomes of rheumatoid arthritis (RA) patients with reactive arthritis, and patients with osteoarthritis, contain citrullinated proteins7. Our study focused on synovial fluid extracellular vesicle content, specifically on capture-miRNAs carried within these EVs. Exosomes are 40–100 nm diameter packaged vesicles containing specific proteins, lipids, and/or genetic material that are secreted by almost all metabolically active cells7,8,9,10,11,12. Exosomes are cellular byproducts which reflect the pathophysiological changes that occur nearby or in its surrounding environment, which makes them particularly useful for the development of highly sensitive diagnostic tools for monitoring disease progression7,8,9,10,11,12,13,14,15,16,17,18,19. To the best of our knowledge, our study is the first to characterize EVs miRNAs cargo from synovial fluid of non-osteoarthritic (NON-OA) and OA patients. Nanoparticle tracking analysis shows that vesicles isolated from synovial fluid are in the ~100 (±10) nm diameter size ranges, consistent with the known size of EVs9, 10, 14,15,16,17,18. The size and concentration of EVs are similar between OA and NON-OA patients’ synovial fluid and these extra cellular vesicles are highly enriched in miRNAs.

EVs are released from the cells in response to surrounding environment, external stimuli and physiological status of cells9, 35. We hypothesized that synovial fluid-derived exosomal miRNA content varies with degenerative status of knee joints. miRNA arrays were performed on OA and non-OA synovial fluid derived exosomal miRNA. We have profiled the number of unique EV miRNAs in synovial fluid from the arthritis compared to those with control. Some of the miRNAs showing differential expression in OA, (such as miR-146a, miR-26a, and miR-210) had previously been associated with cartilage pathophysiology and other musculoskeletal diseases36,37,38,39,40. Our studies revealed a unique OA specific miRNA (miRNA-504) in both genders.

The prevalence of OA is higher among women than men, and the risk of developing OA increases among women after menopause3, 41,42,43,44,45. Considering gender-dependent differences in the prevalence of OA, we analyzed array data separately to identify novel gender-specific exosomal miRNA. Interestingly, we identified novel gender specific miRNAs in the OA population. We noted that the female OA group has a higher number of miRNAs that are differentially (up and down) regulated than males. The miRNA array data was further validated using additional samples of selected miRNAs. We demonstrated similar results, indicating that these exosomal miRNAs can be used as gender specific biomarkers for diagnosis of OA. Exosomal miRNAs can be used as ideal potential biomarkers because exosomes protect miRNAs from RNAse activity and increase their stability9, 46, 47. An important limitation of our study is that we used synovial fluid samples derived from patients with advanced OA, typically Grade 3 or 4. The differentially expressed exosomal miRNAs seen in our study may not be the same as those required for diagnosis of early stage OA. Similar studies are therefore essential to identify early changes during different stages of OA progression.

In order to determine the biological function of the differentially expressed synovial fluid derived EV miRNAs, KEGG pathway annotation and GO analysis were performed to analyze their target gene pools. KEGG annotation showed that down-regulated miRNAs regulate glycan degradation, cell adhesion molecules (CAMs), and mucin type O-Glycan biosynthesis and up-regulated miRNAs regulate biotin metabolism and thyroid hormone synthesis in both male and female. We also identified a number of differentially regulated KEGG pathways in both male and female but the most prominent were ovarian steroidogenesis and the estrogen signaling pathway. These pathways were affected by up-regulation of miRNAs in female OA. Further detailed analysis showed that 6 miRNAs (miR-181d-3p, miR-3940-3p, miR-155-3p, miR-4532, miR-185-5p, miR-7107-5p) target 9 genes of the ovarian steroidogenesis pathway and the same number of miRNAs (miR-4532, miR-181d-3p, miR-185-5p miR-6865-3p, miR-4459, miR-7107-5p) target 14 genes of the estrogen signaling pathway. We further confirmed that some of these miRNAs (181d-3p, miR-185-5p, miR-7107-5p) target female estrogen signaling pathway genes. These miRNAs regulate expression of ER-α (estrogen receptor- α), ER-β estrogen receptor- β), CYP19 (aromatase cytochrome P450) and CREB-binding protein in human articular chondrocytes.

It has been previously reported that estrogen signaling pathways play important roles in the pathogenesis of female OA48,49,50. After an extensive literature search, we also noted that dysregulated miRNAs in the female OA group are responsive to estrogen signaling in other disease and in-vitro models51, 52. Some of the EV miRNAs (miR-181d-3p, miR-155-3p, miR-185-5p, miR-3940-3p, miR-4532, miR-7107-5p miR-504-3p, miR-320d, miR-19b-3p and miR-22-3p) up-regulated in female OA synovial fluid were down-regulated in response to estrogen treatment in human and mouse cells51,52,53,54. The miRNAs (miR-24-3p, miR-26a-5p, miR-200a-3p) down-regulated in female OA samples are known to be elevated with estrogen treatment51, 52, 55,56,57. Based on our findings, we hypothesized that the hormone estrogen might play an important role in EV derived miRNA in the knee joint. In females after menopause, estrogen levels decline58, 59 which might affect the EV’s secretion and miRNA cargo. To test this hypothesis, we treated synovial-fibroblast like cells with aromatase inhibitor and analyzed miRNA content of EVs secreted from cells. Our results show that aromatase inhibitor treatment decrease content of miR-26a-5p, miR-146a-5p, miR-328-5p, miR-4654, and increased miR-7107-5p in EVs cargo. Similar trends were noted in female OA miRNA profiling. These differentially regulated miRNAs can be used as gender specific potential biomarkers and/or can also be used for targeting therapeutic interventions. It has been previously reported that estrogen therapy in humans and higher estrogen levels in females have a protective role in OA60,61,62.

GO annotation analysis was performed to identify the regulatory function of the differentially expressed miRNAs. GO pathway annotation analysis showed some common and some gender specific signaling involved in OA. Interestingly, GO pathway annotation indicated that miRNAs targeting TLR and immune signaling pathway were down-regulated in females with OA whereas in males TLR and immune signaling targeting miRNAs were up-regulated. We noted that miRNAs (miR-328-5p, miRNA-26a, hsa-miR-4654, miR-4707-5p, miR-4487, miR-24-3p, miR-6824-5p, miR-4740-5p, miR-8074 and, miR-146a-5p) down-regulated in females with OA have a number of TLR related target genes as per miRNA target prediction software’s (targetscan, miRwalk2.0 and For example, miRNA-26a targets TLR3 and miR-146a-5p targets three TLR signaling genes (two sites on TLR9, TLR106, TRAF6 and one each on TLR2, and IRAK1). These two miRNAs are significantly down-regulated in female EV miRNAs. Published literature also confirms some of these target genes at mRNA and functional levels (using luciferase assay)39, 63,64,65.

We speculate that in males, OA incidence and severity are significantly lower due to elevated expression of these miRNAs, but in females miRNAs targeting immune and TLR related genes are decreased, possibly reducing their ability to prevent inflammation and the TLR responsive cascade. TLR signaling and inflammation is known to be elevated in OA conditions66,67,68,69,70,71,72 and that inhibiting or reducing this signaling prevents or reduces OA-like conditions73. These signaling pathways are crucial for maintaining normal functioning of female health and their reduction may be one of the reasons for increased incidence of OA in females.

We also demonstrated that the synovial fluid derived EVs efficiently communicate with articular chondrocytes. Our experiments have shown that human articular chondrocytes readily endocytose EVs. Exosomes are endocytosed and release their content into the recipient cells and thereby influence the cellular signaling8, 10, 11. We hypothesized that OA derived EVs might affect normal metabolism of articular chondrocytes. This is indeed the case, female OA derived exosomes increase the catabolic activity and decrease anabolic genes when treated to healthy articular chondrocytes. Kato and his co-workers74 previously reported that EVs derived from IL-1β stimulated human synovial fibroblasts elevated MMP-13 and ADAMTS-5 expression and decrease COL2A1 and ACAN in articular chondrocytes compared with non-stimulated derived exosomes. Our data strongly suggest the potential important role of these EVs and their miRNAs in female OA pathogenesis. Our study has some limitations; first and most important, we have a small sample size. Similar studies are needed on a larger sample size and at various stages of OA progression. Further studies need to be directed toward confirming miRNA targets in chondrocytes to know the role of differentially expressed miRNAs.

To conclude, this is the first study to demonstrate gender specific miRNA profiling in EVs of synovial fluid in human OA. Synovial fluid derived exosomes play an important role in the pathophysiology of OA. Furthermore, these differentially expressed female miRNAs might be estrogen responsive and play a role in TLR signaling during pathogenesis of OA.


  1. 1.

    Piva, S. R. et al. Links between osteoarthritis and diabetes: implications for management from a physical activity perspective. Clin Geriatr Med. 31(1), 67–87, doi:10.1016/j.cger.2014.08.019 (2015).

    Article  PubMed  Google Scholar 

  2. 2.

    Phinyomark, A., Osis, S. T., Hettinga, B. A., Kobsar, D. & Ferber, R. Gender differences in gait kinematics for patients with knee osteoarthritis. BMC Musculoskelet Disord. 12; 17(1), 157 (2016)

  3. 3.

    Woolf, A. D. & Pfleger, B. Burden of major musculoskeletal conditions. Bull World Health Organ. 81(9), 646–56 Review (2003).

  4. 4.

    Mendel, O. I., Luchihina, L. V. & Mendel, W. Aging and osteoarthritis; Chronic nonspecific inflammation as a link between againg and osteoarthritis. Adv Gerontol. 28(2), 274–83 Review (2015)

  5. 5.

    Menashe, L. et al. The diagnostic performance of MRI in osteoarthritis: a systematic review and meta-analysis. Osteoarthritis Cartilage. 20(1), 13–21, doi:10.1016/j.joca.2011.10.003 (2012).

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Monibi, F. et al. Identification of Synovial Fluid Biomarkers for Knee Osteoarthritis and Correlation with Radiographic Assessment. J Knee Surg. 29(3), 242–7, doi:10.1055/s-0035-1549022 (2016).

    Article  PubMed  Google Scholar 

  7. 7.

    Skriner, K., Adolph, K., Jungblut, P. R. & Burmester, G. R. Association of citrullinated proteins with synovial exosomes. Arthritis Rheum. 54(12), 3809–14, doi:10.1002/art.22276 (2006).

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Robbins, P. D. & Morelli, A. E. Regulation of immune responses by extracellular vesicles. Nat Rev Immunol. 14(3), 195–208, doi:10.1038/nri3622. Review (2014)

  9. 9.

    Burke, J. et al. Stem Cell-Derived Exosomes: A Potential Alternative Therapeutic Agent in Orthopaedics. Stem Cells Int. 2016, 5802529–6, doi:10.1155/2016/5802529 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Taylor, D. D. & Gercel-Taylor, C. The origin, function, and diagnostic potential of RNA within extracellular vesicles present in human biological fluids. Front Genet. 30(4), 142, doi:10.3389/fgene.2013.00142 (2013).

    Google Scholar 

  11. 11.

    Withrow, J. et al. Extracellular vesicles in the pathogenesis of rheumatoid arthritis and osteoarthritis. Arthritis Res Ther. 1, 18(1), 286, Review (2016)

  12. 12.

    Van Giau, V. & An, S. S. Emergence of exosomal miRNAs as a diagnostic biomarker for Alzheimer’s disease. J Neurol Sci. 15(360), 141–52, doi:10.1016/j.jns.2015.12.005 (2016).

    Article  Google Scholar 

  13. 13.

    Kang, G. Y. et al. Exosomal proteins in the aqueous humor as novel biomarkers in patients with neovascular age-related macular degeneration. J Proteome Res. 7, 13(2), 581–95 (2014).

  14. 14.

    Baglio, S. R. et al. Human bone marrow- and adipose-mesenchymal stem cells secrete exosomes enriched in distinctive miRNA and tRNA species. Stem Cell Res Ther. 1(6), 127, doi:10.1186/s13287-015-0116-z (2015).

    Article  Google Scholar 

  15. 15.

    Lu, L. & Risch, H. A. Exosomes: potential for early detection in pancreatic cancer. Future Oncol. 12(8), 1081–90, doi:10.2217/fon-2015-0005 (2016).

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Muth, D. C. et al. Potential role of cervicovaginal extracellular particles in diagnosis of endometriosis. BMC Vet Res. 8(11), 187, doi:10.1186/s12917-015-0513-7 (2015).

    Article  Google Scholar 

  17. 17.

    Boukouris, S. & Mathivanan, S. Exosomes in bodily fluids are a highly stable resource of disease biomarkers. Proteomics Clin Appl. 9(3–4), 358–67, doi:10.1002/prca.201400114 (2015).

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Helwa, I. et al. A Comparative Study of Serum Exosome Isolation Using Differential Ultracentrifugation and Three Commercial Reagents. PLoS One. 23, 12(1), e0170628 (2017).

  19. 19.

    Wang, J., Yao, Y., Wu, J. & Li, G. Identification and analysis of exosomes secreted from macrophages extracted by different methods. Int J Clin Exp Pathol. 1, 8(6), 6135–42 (2015).

  20. 20.

    Rider, M. A., Hurwitz, S. N. & Meckes, D. G. Jr. ExtraPEG: A Polyethylene Glycol-Based Method for Enrichment of Extracellular Vesicles. Sci Rep. 12(6), 23978, doi:10.1038/srep23978 (2016).

    ADS  Article  Google Scholar 

  21. 21.

    Alegre, E. et al. In vivo identification of an HLA-G complex as ubiquitinated protein circulating in exosomes. Eur J Immunol 43, 1933–9, doi:10.1002/eji.201343318 (2013).

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Kordelas, L. et al. MSC-derived exosomes: a novel tool to treat therapy-refractory graft-versus-host disease. Leukemia 28, 970–3, doi:10.1038/leu.2014.41 (2014).

    CAS  PubMed  Google Scholar 

  23. 23.

    Kruger, S. et al. Molecular characterization of exosome-like vesicles from breast cancer cells. BMC Cancer. Jan 27;14;44 (2014).

  24. 24.

    Pisitkun, T., Shen, R. F. & Knepper, M. A. Identification and proteomic profiling of exosomes in human urine. Proc Natl Acad Sci USA 7, 101(36), 13368–73 (2004)

  25. 25.

    Vlachos, I. S. et al. DIANA-miRPath v3.0: deciphering microRNA function with experimental support. Nucleic Acids Res. 1, 43(W1), W460–6 (2015)

  26. 26.

    Chothe, P. P. et al. Sodium-coupled vitamin C transporter (SVCT2): expression, function, and regulation in intervertebral disc cells. Spine J. 13(5), 549–57, doi:10.1016/j.spinee.2013.01.022 (2013).

    Article  PubMed  Google Scholar 

  27. 27.

    Lau, T. T., Peck, Y., Huang, W. & Wang, D. A. Optimization of chondrocyte isolation and phenotype characterization for cartilage tissue engineering. Tissue Eng Part C Methods. 21(2), 105–11, doi:10.1089/ten.tec.2014.0159 (2015).

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Sangani, R. et al. The crucial role of vitamin C and its transporter (SVCT2) in bone marrow stromal cell autophagy and apoptosis. Stem Cell Res. 15(2), 312–21, doi:10.1016/j.scr.2015.06.002 (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Jadeja, R., Thounaojam, M. & Khurana, S. Characterization of pressure-mediated vascular tone in resistance arteries from bile duct-ligated rats. Oncotarget, Volume 5, doi:10.18632/oncotarget.15409 (2017).

  30. 30.

    Zimmermann, T. et al. Isolation and characterization of rheumatoid arthritis synovial fibroblasts from primary culture–primary culture cells markedly differ from fourth-passage cells. Arthritis Res. 3(1), 72–6, doi:10.1186/ar142 (2001).

    MathSciNet  CAS  Article  PubMed  Google Scholar 

  31. 31.

    Gaillard, S. & Stearns, V., Aromatase inhibitor-associated bone and musculoskeletal effects: new evidence defining etiology and strategies for management. Breast Cancer Res. 14, 13(2), 205 (2011).

  32. 32.

    Scanzello, C. R. & Goldring, S. R. The role of synovitis in osteoarthritis pathogenesis. Bone. Aug 51(2), 249–57, doi:10.1016/j.bone.2012.02.012 (2012).

    CAS  Article  Google Scholar 

  33. 33.

    Mabey, T. et al. Plasma and synovial fluid inflammatory cytokine profiles in primary knee osteoarthritis. Biomarkers. 27, 1–6 (2016).

    Google Scholar 

  34. 34.

    Liao, W. et al. Proteomic analysis of synovial fluid as an analytical tool to detect candidate biomarkers for knee osteoarthritis. Int J Clin Exp Pathol. 1, 8(9), 9975–89 eCollection (2015).

  35. 35.

    Iraci, N., Leonardi, T., Gessler, F., Vega, B. & Pluchino, S. Focus on Extracellular Vesicles: Physiological Role and Signalling Properties of Extracellular Membrane Vesicles. Int J Mol Sci. 6, 17(2), 171 (2016)

  36. 36.

    Li, X. et al. Altered spinal microRNA-146a and the microRNA-183 cluster contribute to osteoarthritic pain in knee joints. J Bone Miner Res. 28(12), 2512–22, doi:10.1002/jbmr.2002 (2013).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Rasheed, Z., Al-Shobaili, H. A., Rasheed, N., Mahmood, A. & Khan, M. I. MicroRNA-26a-5p regulates the expression of inducible nitric oxide synthase via activation of NF-κB pathway in human osteoarthritis chondrocytes. Arch Biochem Biophys. 15(594), 61–7, doi:10.1016/ (2016).

    Article  Google Scholar 

  38. 38.

    Mirzamohammadi, F., Papaioannou, G. & Kobayashi, T. MicroRNAs in cartilage development, homeostasis, and disease. Curr Osteoporos Rep. 12(4), 410–9 doi:10.1007/s11914-014-0229-9 Review (2014)

  39. 39.

    Jiang, C. et al. MicroRNA-26a negatively regulates toll-like receptor 3 expression of rat macrophages and ameliorates pristane induced arthritis in rats. Arthritis Res Ther. 14, 16(1), R9 (2014)

  40. 40.

    Sondag, G. R. & Haqqi, T. M. The Role of MicroRNAs and Their Targets in Osteoarthritis. Curr Rheumatol Rep. 18(8), 56, doi:10.1007/s11926-016-0604-x (2016).

    Article  PubMed  Google Scholar 

  41. 41.

    Phinyomark, A., Osis, S.T., Hettinga, B.A, Kobsar, D. & Ferber, R. Gender differences in gait kinematics for patients with knee osteoarthritis. BMC Musculoskelet Disord. 12, 17(1), 157 (2016).

  42. 42.

    Kumar, D. et al. Are There Sex Differences in Knee Cartilage Composition and Walking Mechanics in Healthy and Osteoarthritis Populations? Clin Orthop Relat Res. 473(8), 2548–58, doi:10.1007/s11999-015-4212-2 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Plotnikoff, R. Osteoarthritis prevalence and modifiable factors: a population study. BMC Public Health. 30(15), 1195, doi:10.1186/s12889-015-2529-0 (2015).

    Article  Google Scholar 

  44. 44.

    O’Connor, M.I. Osteoarthritis of the hip and knee: sex and gender differences. Orthop Clin North Am. 37(4), 559–68. Review (2006)

  45. 45.

    O’Connor, M. I. Sex differences in osteoarthritis of the hip and knee. J Am Acad Orthop Surg. 15(Suppl 1), S22–5, doi:10.5435/00124635-200700001-00007 (2007).

    Article  PubMed  Google Scholar 

  46. 46.

    Köberle, V. et al. Differential stability of cell-free circulating microRNAs: implications for their utilization as biomarkers. PLoS One. 20, 8(9), e75184 (2013)

  47. 47.

    Momen-Heravi, F. et al. Increased number of circulating exosomes and their microRNA cargos are potential novel biomarkers in alcoholic hepatitis. J Transl Med. 12(13), 261, doi:10.1186/s12967-015-0623-9 (2015).

    Article  Google Scholar 

  48. 48.

    Martín-Millán, M. & Castañeda, S. Estrogens, osteoarthritis and inflammation. Joint Bone Spine. 80(4), 368–73, doi:10.1016/j.jbspin.2012.11.008 (2013).

    Article  PubMed  Google Scholar 

  49. 49.

    Sniekers, Y. H., Weinans, H., van Osch, G. J. & van Leeuwen, J. P. Oestrogen is important for maintenance of cartilage and subchondral bone in a murine model of knee osteoarthritis. Arthritis Res Ther. 12(5), R182, doi:10.1186/ar3148 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  50. 50.

    Sniekers, Y. H. Development of osteoarthritic features in estrogen receptor knockout mice. Osteoarthritis Cartilage. 17(10), 1356–61, doi:10.1016/j.joca.2009.04.008 (2009).

    CAS  Article  PubMed  Google Scholar 

  51. 51.

    Klinge, C. M. miRNAs regulated by estrogens, tamoxifen, and endocrine disruptors and their downstream gene targets. Mol Cell Endocrinol. 15, 418 Pt3, 273–97 (2015)

  52. 52.

    Tilghman, S. L. Endocrine disruptor regulation of microRNA expression in breast carcinoma cells. PLoS One. 7(3), e32754, doi:10.1371/journal.pone.0032754 (2012).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  53. 53.

    Edvardsson, K. et al. Estrogen receptor β expression induces changes in the microRNA pool in human colon cancer cells. Carcinogenesis. 34(7), 1431–41, doi:10.1093/carcin/bgt067 (2013).

    CAS  Article  PubMed  Google Scholar 

  54. 54.

    Ferraro, L. et al. Effects of oestrogen on microRNA expression in hormone-responsive breast cancer cells. Horm Cancer. 3(3), 65–78, doi:10.1007/s12672-012-0102-1 (2012).

    CAS  Article  PubMed  Google Scholar 

  55. 55.

    Klinge, C. M. Estrogen Regulation of MicroRNA Expression. Curr Genomics. 10(3), 169–83, doi:10.2174/138920209788185289 (2009).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  56. 56.

    Pan, Q., Luo, X. & Chegini, N. Differential expression of microRNAs in myometrium and leiomyomas and regulation by ovarian steroids. J Cell Mol Med. 12(1), 227–40, doi:10.1111/j.1582-4934.2007.00207.x (2008).

    CAS  Article  PubMed  Google Scholar 

  57. 57.

    Klinge, C. M. Estrogen Regulation of MicroRNA Expression. Curr Genomics. 10(3), 169–83, doi:10.2174/138920209788185289 (2009).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  58. 58.

    Gao, W. et al. Serum concentrations of selected endogenous estrogen and estrogen metabolites in pre- and post-menopausal Chinese women with osteoarthritis. J Endocrinol Invest. 33(9), 644–9, doi:10.1007/BF03346664 (2010).

    CAS  Article  PubMed  Google Scholar 

  59. 59.

    Chon, S. J. et al. Association between levels of serum ferritin and bone mineral density in Korean premenopausal and postmenopausal women: KNHANES 2008–2010. PLoS One. 18, 9(12), e114972 (2014).

  60. 60.

    Xiao, Y. P. et al. Are estrogen-related drugs new alternatives for the management of osteoarthritis? Arthritis Res Ther. 28(18), 151, doi:10.1186/s13075-016-1045-7 (2016).

    Article  Google Scholar 

  61. 61.

    Yang, J. H., Kim, J. H., Lim, D. S. & Oh, K. J. Effect of combined sex hormone replacement on bone/cartilage turnover in a murine model of osteoarthritis. Clin Orthop Surg 4(3), 234–41, doi:10.4055/cios.2012.4.3.234 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  62. 62.

    Karsdal, M. A., Bay-Jensen, A. C., Henriksen, K. & Christiansen, C. The pathogenesis of osteoarthritis involves bone, cartilage and synovial inflammation: may estrogen be a magic bullet? Menopause Int. 18(4), 139–46, doi:10.1258/mi.2012.012025 (2012).

    CAS  PubMed  Google Scholar 

  63. 63.

    Nahid, M. A. et al. TLR4, TLR7/8 agonist-induced miR-146a promotes macrophage tolerance to MyD88-dependent TLR agonists. J Leukoc Biol 100(2), 339–49, doi:10.1189/jlb.2A0515-197R (2016).

    Article  PubMed  Google Scholar 

  64. 64.

    Jiang, W. et al. miR-146a ameliorates liver ischemia/reperfusion injury by suppressing IRAK1 and TRAF6. PLoS One. 2, 9(7), e101530 (2014)

  65. 65.

    Meisgen, F. et al. MiR-146a negatively regulates TLR2-induced inflammatory responses in keratinocytes. J Invest Dermatol. 134(7), 1931–40, doi:10.1038/jid.2014.89 (2014).

    CAS  Article  PubMed  Google Scholar 

  66. 66.

    Nasi, S. et al. Dispensable role of myeloid differentiation primary response gene 88 (MyD88) and MyD88-dependent toll-like receptors (TLRs) in a murine model of osteoarthritis. Joint Bone Spine. 81(4), 320–4, doi:10.1016/j.jbspin.2014.01.018 (2014).

    CAS  Article  PubMed  Google Scholar 

  67. 67.

    Takakubo, Y., Barreto, G., Konttinen, Y. T., Oki, H. & Takagi, M. Role of innate immune sensors, TLRs, and NALP3 in rheumatoid arthritis and osteoarthritis. J Long Term Eff Med Implants. 24(4), 243–51, doi:10.1615/JLongTermEffMedImplants.v24.i4 (2014).

    Article  PubMed  Google Scholar 

  68. 68.

    Barreto, G. et al. Do changing toll-like receptor profiles in different layers and grades of osteoarthritis cartilage reflect disease severity? J Rheumatol. 40(5), 695–702, doi:10.3899/jrheum.121159 (2013).

    CAS  Article  PubMed  Google Scholar 

  69. 69.

    Nair, A. et al. Synovial fluid from patients with early osteoarthritis modulates fibroblast-like synoviocytes responses to toll-like receptor 4 and toll-like receptor 2 ligands via soluble CD14. Arthritis Rheum. 64(7), 2268–77, doi:10.1002/art.v64.7 (2012).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  70. 70.

    Kuroki, K., Stoker, A. M., Sims, H. J. & Cook, J. L. Expression of Toll-like receptors 2 and 4 in stifle joint synovial tissues of dogs with or without osteoarthritis. Am J Vet Res. 71(7), 750–4, doi:10.2460/ajvr.71.7.750 (2010).

    CAS  Article  PubMed  Google Scholar 

  71. 71.

    Zhang, Q. et al. Differential Toll-like receptor-dependent collagenase expression in chondrocytes. Ann Rheum Dis. 67(11), 1633–41, doi:10.1136/ard.2007.079574 (2008).

    CAS  Article  PubMed  Google Scholar 

  72. 72.

    Kim, H. A. et al. The catabolic pathway mediated by Toll-like receptors in human osteoarthritic chondrocytes. Arthritis Rheum. 54(7), 2152–63, doi:10.1002/art.21951 (2006).

    CAS  Article  PubMed  Google Scholar 

  73. 73.

    Orlowsky, E. W. & Kraus, V. B. The role of innate immunity in osteoarthritis: when our first line of defense goes on the offensive. J Rheumatol. 42(3), 363–71, doi:10.3899/jrheum.140382 (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  74. 74.

    Kato, T. et al. Exosomes from IL-1β stimulated synovial fibroblasts induce osteoarthritic changes in articular chondrocytes. Arthritis Res Ther. 4, 16(4), R163 (2014)

Download references

Author information




S.F., M.o.H., M.H., and R.E.G. initiated and designed the study. R.K., S.L., R.N.J., C.P., A.M., and B.M. performed the experiments and analyzed data: Y.L., and M.D. performed zeta view; S.F., M.H., M.R., C.I. and R.K. wrote the manuscript.

Corresponding author

Correspondence to Sadanand Fulzele.

Ethics declarations

Competing Interests

The authors declare that they have no competing interests.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kolhe, R., Hunter, M., Liu, S. et al. Gender-specific differential expression of exosomal miRNA in synovial fluid of patients with osteoarthritis. Sci Rep 7, 2029 (2017).

Download citation

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.