Abstract: Osteoarthritis remains one of the greatest causes of morbidity and mortality in the equine population. The inability to detect pre-clinical changes in osteoarthritis has been a significant impediment to the development of effective therapies against this disease. Synovial fluid represents a potential source of disease-specific small non-coding RNAs (sncRNAs) that could aid in the understanding of the pathogenesis of osteoarthritis. We hypothesised that early stages of osteoarthritis would alter the expression of sncRNAs, facilitating the understanding of the underlying pathogenesis and potentially provide early biomarkers. Methods: Small RNA sequencing was performed using synovial fluid from the metacarpophalangeal joints of both control and early osteoarthritic horses. A group of differentially expressed sncRNAs was selected for further validation through qRT-PCR using an independent cohort of synovial fluid samples from control and early osteoarthritic horses. Bioinformatic analysis was performed in order to identify putative targets of the differentially expressed microRNAs and to explore potential associations with specific biological processes. Results: Results revealed 22 differentially expressed sncRNAs including 13 microRNAs; miR-10a, miR-223, let7a, miR-99a, miR-23b, miR-378, miR-143 (and six novel microRNAs), four small nuclear RNAs; U2, U5, U11, U12, three small nucleolar RNAs; U13, snoR38, snord96, and one small cajal body-specific RNA; scarna3. Five sncRNAs were validated; miR-223 was significantly reduced in early osteoarthritis and miR-23b, let-7a-2, snord96A and snord13 were significantly upregulated. Significant cellular actions deduced by the differentially expressed microRNAs included apoptosis (P < 0.0003), necrosis (P < 0.0009), autophagy (P < 0.0007) and inflammation (P < 0.00001). A conservatively filtered list of 57 messenger RNA targets was obtained; the top biological processes associated were regulation of cell population proliferation (P < 0.000001), cellular response to chemical stimulus (P < 0.000001) and cell surface receptor signalling pathway (P < 0.000001). Conclusions: Synovial fluid sncRNAs may be used as molecular biomarkers for early disease in equine osteoarthritic joints. The biological processes they regulate may play an important role in understanding early osteoarthritis pathogenesis. Characterising these dynamic molecular changes could provide novel insights on the process and mechanism of early osteoarthritis development and is critical for the development of new therapeutic approaches.
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
The research focuses on identifying early signs of osteoarthritis in horses using small non-coding RNAs (sncRNAs) found in synovial fluid and how their expression changes may be used to understand disease progression better. This knowledge may guide the development of effective therapeutic methodologies.
Methodology
The study compares small RNA sequencing from the synovial fluid of horses’ metacarpophalangeal joints, both from those with early osteoarthritis and controls.
The differentially expressed sncRNAs were further validated using an independent cohort of synovial fluid samples in the same conditions.
Through bioinformatics analysis, the researchers aimed to identify the potential actions of these differentially expressed miRNAs and how they relate to particular biological processes.
Findings
They identified 22 differentially expressed sncRNAs, including 13 specific microRNAs and other RNA types.
Five sncRNAs were validated – miR-223, which was significantly lower in early osteoarthritis, and four others that were significantly higher, including miR-23b, let-7a-2, snord96A, and snord13.
The differential expression could infer significant cellular actions such as apoptosis, necrosis, autophagy, and inflammation.
A list of 57 mRNA targets was obtained. The top associated biological processes were regulation of cell population proliferation, cellular response to chemical stimulus, and cell surface receptor signaling pathways.
Conclusion
These results suggest that sncRNAs in synovial fluid could be used as potential biomarkers to detect early osteoarthritis in equine joints.
The biological processes they regulate may provide vital insight into the pathogenesis of early onset osteoarthritis.
Better understanding of these molecular changes could offer novel insights into the development process and mechanism of early osteoarthritis and could be crucial for developing new therapeutic strategies.
Cite This Article
APA
Castanheira C, Balaskas P, Falls C, Ashraf-Kharaz Y, Clegg P, Burke K, Fang Y, Dyer P, Welting TJM, Peffers MJ.
(2021).
Equine synovial fluid small non-coding RNA signatures in early osteoarthritis.
BMC Vet Res, 17(1), 26.
https://doi.org/10.1186/s12917-020-02707-7
Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK. C.Castanheira@liverpool.ac.uk.
Balaskas, Panagiotis
Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
Falls, Charlotte
Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
Ashraf-Kharaz, Yalda
Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
Clegg, Peter
Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
Burke, Kim
Institute of Veterinary Science, University of Liverpool, Chester High Road, Neston, CH64 7TE, UK.
Fang, Yongxiang
Centre for Genomic Research, Institute of Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7ZB, UK.
Dyer, Philip
Institute of Infection and Global Health, University of Liverpool, 8 West Derby Street, Liverpool, L7 3EA, UK.
Welting, Tim J M
Department of Orthopaedic Surgery, Maastricht University Medical Centre, Maastricht, AZ, 6202, The Netherlands.
Peffers, Mandy J
Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
Díaz-Prado S, Cicione C, Muiños-López E, Hermida-Gómez T, Oreiro N, Fernández-López C. Characterization of microRNA expression profiles in normal and osteoarthritic human chondrocytes.. BMC Musculoskelet Disord 2012;13:144.
Murata K, Yoshitomi H, Tanida S, Ishikawa M, Nishitani K, Ito H. Plasma and synovial fluid microRNAs as potential biomarkers of rheumatoid arthritis and osteoarthritis.. Arthritis Res Ther 2010;12:R86.
Hu W, Zhang W, Li F, Guo F, Chen A. miR-139 is up-regulated in osteoarthritis and inhibits chondrocyte proliferation and migration possibly via suppressing EIF4G2 and IGF1R.. Biochem Biophys Res Commun 2016;474:296–302.
Wang Z, Chi X, Liu L, Wang Y, Mei X, Yang Y. Long noncoding RNA maternally expressed gene 3 knockdown alleviates lipopolysaccharide-induced inflammatory injury by up-regulation of miR-203 in ATDC5 cells.. Biomed Pharmacother 2018;100:240–249.
Yu X-M, Meng H-Y, Yuan X-L, Wang Y, Guo Q-Y, Peng J. MicroRNAs’ Involvement in Osteoarthritis and the Prospects for Treatments Evid Based Complement.. Alternat Med 2015;2015:236179.
Endisha H, Rockel J, Jurisica I, Kapoor M. The complex landscape of microRNAs in articular cartilage: biology, pathology, and therapeutic targets.. JCI Insight 2018;3(17):e121630.
Buschmann D, Haberberger A, Kirchner B, Spornraft M, Riedmaier I, Schelling G. Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow.. Nucleic Acids Res 2016;44:5995–6018.
Stepanov GA, Filippova JA, Komissarov AB, Kuligina EV, Richter VA, Semenov DV. Regulatory role of small Nucleolar RNAs in human diseases.. Biomed Res Int 2015;2015:206849.
Li Y-H, Tavallaee G, Tokar T, Nakamura A, Sundararajan K, Weston A. Identification of synovial fluid microRNA signature in knee osteoarthritis: differentiating early- and late-stage knee osteoarthritis.. Osteoarthr Cartil 2016;24:1577–1586.
Antunes J, Koch TG, Koenig J, Cote N, Dubois M-S. On the road to biomarkers: developing a robust system for miRNA evaluation in equine blood and synovial fluid.. Osteoarthr Cartil 2019;27:S110–S111.
Yin C-M, Suen W-C-W, Lin S, Wu X-M, Li G, Pan X-H. Dysregulation of both miR-140-3p and miR-140-5p in synovial fluid correlate with osteoarthritis severity.. Bone Joint Res 2017;6:612–618.
Iliopoulos D, Malizos KN, Oikonomou P, Tsezou A. Integrative MicroRNA and proteomic approaches identify novel osteoarthritis genes and their collaborative metabolic and inflammatory networks.. PLoS One 2008;3:e3740.
Ham O, Song BW, Lee SY, Choi E, Cha MJ, Lee CY. The role of microRNA-23b in the differentiation of MSC into chondrocyte by targeting protein kinase a signaling.. Biomaterials 2012;33:4500–4507.
Karlsen TA, Jakobsen RB, Mikkelsen TS, Brinchmann JE. MicroRNA-140 targets RALA and regulates chondrogenic differentiation of human mesenchymal stem cells by translational enhancement of SOX9 and ACAN.. Stem Cells Dev 2014;23:290–304.
Sui G, Zhang L, Hu Y. MicroRNA-let-7a inhibition inhibits LPS-induced inflammatory injury of chondrocytes by targeting IL6R.. Mol Med Rep 2019;20:2633–2640.
Feng L, Feng C, Wang CX, Xu DY, Chen JJ, Huang JF. Circulating microRNA let–7e is decreased in knee osteoarthritis, accompanied by elevated apoptosis and reduced autophagy.. Int J Mol Med 2020;45:1464–1476.
Okuhara A, Nakasa T, Shibuya H, Niimoto T, Adachi N, Deie M. Changes in microRNA expression in peripheral mononuclear cells according to the progression of osteoarthritis.. Mod Rheumatol 2012;22:446–457.
Ying H, Wang Y, Gao Z, Zhang Q. Long non-coding RNA activated by transforming growth factor beta alleviates lipopolysaccharide-induced inflammatory injury via regulating microRNA-223 in ATDC5 cells.. Int Immunopharmacol 2019;69:313–320.
Peffers MJ, Ripmeester E, Caron M, Steinbusch M, Balaskas P, Cremers A. A role for the snoRNA U3 in the altered translational capacity of ageing and osteoarthritic chondrocytes.. Osteoarthr Cartil 2018;26:S45–S46.
Mcmahon M, Contreras A, Ruggero D. Small RNAs with big implications: new insights into H/ACA snoRNA function and their role in human disease.. Wiley Interdiscip Rev RNA 2015;6:173–189.
Goldring SR, Goldring MB. The role of cytokines in cartilage matrix degeneration in osteoarthritis. Clinical Orthopaedics and Related Research 2004;pp. S27–S36.
Wang X, Hunter DJ, Jin X, Ding C. The importance of synovial inflammation in osteoarthritis: current evidence from imaging assessments and clinical trials.. Osteoarthr Cartil 2018;26:165–174.
Thomas CM, Fuller CJ, Whittles CE, Sharif M. Chondrocyte death by apoptosis is associated with cartilage matrix degradation.. Osteoarthr Cartil 2007;15:27–34.
Yoon BS, Ovchinnikov DA, Yoshii I, Mishina Y, Behringer RR, Lyons KM. Bmpr1a and Bmpr1b have overlapping functions and are essential for chondrogenesis in vivo.. Proc Natl Acad Sci U S A 2005;102:5062–5067.
Nakamura A, Rampersaud YR, Nakamura S, Sharma A, Zeng F, Rossomacha E. MicroRNA-181a-5p antisense oligonucleotides attenuate osteoarthritis in facet and knee joints.. Ann Rheum Dis 2019;78:111–121.
Baek D, Lee KM, Park KW, Suh JW, Choi SM, Park KH. Inhibition of miR-449a promotes cartilage regeneration and prevents progression of osteoarthritis in in vivo rat models.. Mol Ther - Nucleic Acids 2018;13:322–333.
Baccarella A, Williams CR, Parrish JZ, Kim CC. Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance.. BMC Bioinformatics 2018;19:423.
Kim D, Pertea G, Trapnell C, Pimentel H, Kelley R, Salzberg SL. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.. Genome Biol 2013;14.
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing.. J R Stat Soc Ser B 1995;57:289–300.
Xie F, Xiao P, Chen D, Xu L, Zhang B. miRDeepFinder: a miRNA analysis tool for deep sequencing of plant small RNAs.. Plant Mol Biol 2012;80:75–84.
Mi H, Muruganujan A, Ebert D, Huang X, Thomas PD. PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools.. Nucleic Acids Res 2018;47:D419–D426.
Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D. Cytoscape: a software environment for integrated models of biomolecular interaction networks.. Genome Res 2003;13:2498–2504.
Li L, Xu Z, Gao F, Xu J. Current status and future prospects of nanocarrier-mediated miRNA delivery for osteoarthritis therapy. Front Med (Lausanne) 2025;12:1728944.
Felekkis K, Pieri M, Papaneophytou C. Exploring the Feasibility of Circulating miRNAs as Diagnostic and Prognostic Biomarkers in Osteoarthritis: Challenges and Opportunities. Int J Mol Sci 2023 Aug 24;24(17).
Balaskas P, Goljanek-Whysall K, Clegg PD, Fang Y, Cremers A, Smagul A, Welting TJM, Peffers MJ. MicroRNA Signatures in Cartilage Ageing and Osteoarthritis. Biomedicines 2023 Apr 17;11(4).
Winstanley-Zarach P, Rot G, Kuba S, Smagul A, Peffers MJ, Tew SR. Analysis of RNA Polyadenylation in Healthy and Osteoarthritic Human Articular Cartilage. Int J Mol Sci 2023 Apr 1;24(7).
Steinbusch MMF, van den Akker GGH, Cremers A, Witlox AMA, Staal HM, Peffers MJ, van Rhijn LW, Caron MMJ, Welting TJM. Adaptation of the protein translational apparatus during ATDC5 chondrogenic differentiation. Noncoding RNA Res 2022 Jun;7(2):55-65.
Ramos YFM, Coutinho de Almeida R, Lakenberg N, Suchiman E, Mei H, Kloppenburg M, Nelissen RGHH, Meulenbelt I. Circulating MicroRNAs Highly Correlate to Expression of Cartilage Genes Potentially Reflecting OA Susceptibility-Towards Identification of Applicable Early OA Biomarkers. Biomolecules 2021 Sep 13;11(9).