[1]
Saravanan S, Islam VI, Babu NP, et al. Swertiamarin attenuates inflammation mediators via modulating NF- κB/I κB and JAK2/STAT3 transcription factors in adjuvant induced arthritis. Eur J Pharm Sci 2014; 56: 70-86.
[2]
Firestein GS. Invasive fibroblast-like synoviocytes in rheumatoid arthritis. Passive responders or transformed aggressors? Arthritis Rheumatol 1996; 39: 1781-90.
[3]
Hairul-Islam MI, Saravanan S, Thirugnanasambantham K, et al. Swertiamarin, a natural steroid, prevent bone erosion by modulating rankl/rank/opg signaling. Int Immunopharmacol 2017; 53: 114-24.
[4]
Saravanan S, Babu NP, Pandikumar P, et al. Therapeutic effect of Saraca asoca (roxb.) wilde on lysosomal enzymes and collagen metabolism in adjuvant induced arthritis. Inflammopharmacology 2011; 19: 317-25.
[5]
Yang M, Xiao C, Wu Q, et al. Anti-inflammatory effect of sanshuibaihu decoction may be associated with nuclear factor-kappa B and p38 MAPK alpha in collagen-induced arthritis in rat. J Ethnopharmacol 2010; 127: 264-73.
[6]
Generali E, Ceribelli A, Stazi MA, et al. Lessons learned from twins in autoimmune and chronic inflammatory diseases. J Autoimmun 2017; 83: 51-61.
[7]
Kato M, Yasuda S, Atsumi T. The role of genetics and epigenetics in rheumatic diseases: are they really a target to be aimed at? Rheumatol Int 2018; 38(8): 1333-8.
[8]
Zhang M, Lygrisse K, Wang J. Role of microRNA in osteoarthritis. J Arthritis 2017; 6: 239.
[9]
Alivernini S, Gremese E, McSharry C, et al. MicroRNA-155-at the critical interface of innate and adaptive immunity in arthritis. Front Immunol 2018; 8: 1932.
[10]
Huang Y, Shen XJ, Zou Q, et al. Biological functions of micrornas: a review. J Physiol Biochem 2011; 67: 129-39.
[11]
Ono K, Horie T, Nishino T, et al. MicroRNAs and high-density lipoprotein cholesterol metabolism. Int Heart J 2015; 56: 365-71.
[12]
Zhang B, Pan X, Wang Q, et al. Computational identification of microRNAs and their targets. Comput Biol Chem 2006; 30: 395-407.
[13]
Parkinson J, Blaxter M. Expressed sequence tags: an overview. Methods Mol Biol 2009; 533: 1-12.
[14]
Altschul SF, Gish W, Miller W, et al. Basic local alignment search tool. J Mol Biol 1990; 215: 403-10.
[15]
Griffiths-Jones S. The microRNA registry. Nucleic Acids Res 2004; 32: D109-11.
[16]
Griffiths-Jones S, Saini HK, van Dongen S, et al. Mirbase: Tools for microrna genomics. Nucleic Acids Res 2008; 36: D154-8.
[17]
Camacho C, Coulouris G, Avagyan V, et al. Blast+: architecture and applications. BMC Bioinformatics 2009; 10: 421.
[18]
Altschul SF, Madden TL, Schaffer AA, et al. Gapped blast and psi-blast: A new generation of protein database search programs. Nucleic Acids Res 1997; 25: 3389-402.
[19]
Zuker M. Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Res 2003; 31: 3406-15.
[20]
Agarwal V, Bell GW, Nam JW, et al. Predicting effective microRNA target sites in mammalian mRNAs. eLife 2015; 12: 4.
[21]
Krek A, Grun D, Poy MN, et al. Combinatorial microRNA target predictions. Nat Genet 2005; 37: 495-500.
[22]
Wong N, Wang X. Mirdb: an online resource for microrna target prediction and functional annotations. Nucleic Acids Res 2015; 43: D146-52.
[23]
Wang X. Improving microrna target prediction by modeling with unambiguously identified microRNA-target pairs from clip-ligation studies. Bioinformatics 2016; 32: 1316-22.
[24]
Rehmsmeier M, Steffen P, Hochsmann M, et al. Fast and effective prediction of microRNA/target duplexes. RNA 2004; 10: 1507-17.
[25]
Thompson JD, Higgins DG, Gibson TJ. Clustal W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res 1994; 22: 4673-80.
[26]
Kumar S, Stecher G, Tamura K. Mega7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol 2016; 33: 1870-4.
[27]
Ceribelli A, Nahid MA, Satoh M, et al. MicroRNAs in rheumatoid arthritis. FEBS Lett 2011; 585: 3667-74.
[28]
Lagos-Quintana M, Rauhut R, Lendeckel W, et al. Identification of novel genes coding for small expressed RNAs. Science 2001; 294: 853-8.
[29]
Kwak PB, Wang QQ, Chen XS, et al. Enrichment of a set of microRNAs during the cotton fiber development. BMC Genomics 2009; 10: 457.
[30]
Weber MJ. New human and mouse microrna genes found by homology search. FEBS J 2005; 272: 59-73.
[31]
Nam JW, Lee WJ, Zhang BT. 2004.
Computational methods for identification of human microRNA precursors.Trends in Artificial Intelligence of the 8th Pacific Rim, August 9-13, 2004, Auckland, New Zealand, 2004.
[32]
Bentwich I, Avniel A, Karov Y, et al. Identification of hundreds of conserved and nonconserved human microRNAs. Nat Genet 2005; 37: 766-70.
[33]
Chan EKL, Satoh M, Pauley KM. Contrast in aberrant microRNA expression in systemic lupus erythematosus and rheumatoid arthritis: is microRNA-146 all we need? Arthritis Rheum 2009; 60(4): 912-5.
[34]
Brenner M, Gulko PS. The arthritis severity locus Cia5a regulates the expression of inflammatory mediators including Syk pathway genes and proteases in pristane-induced arthritis. BMC Genomics 2012; 13: 710.
[35]
Cavaillès V, Dauvois S, L’Horset F, et al. Nuclear factor rip140 modulates transcriptional activation by the estrogen receptor. EMBO J 1995; 14: 3741-51.
[36]
Cutolo M, Capellino S, Montagna P, et al. New roles for estrogens in rheumatoid arthritis. Clin Exp Rheumatol 2003; 21: 687-90.
[37]
Chen H, Zhu H, Zhang K, et al. Estrogen deficiency accelerates lumbar facet joints arthritis. Sci Rep 2017; 7: 1379.
[38]
Bhattacharjee M, Balakrishnan L, Renuse S, et al. Synovial fluid proteome in rheumatoid arthritis. Clin Proteomics 2016; 13: 12.
[39]
Lorenz HM. T-cell-activation inhibitors in rheumatoid arthritis. BioDrugs 2003; 17: 263-70.
[40]
Lee SH, Park JS, Byun JK, et al. PTEN ameliorates autoimmune arthritis through down-regulating STAT3 activation with reciprocal balance of Th17 and tregs. Sci Rep 2016; 6: 34617.
[41]
Nohr E, Lee LH, Cates JM, et al. Diagnostic value of histone 3 mutations in osteoclast-rich bone tumors. Hum Pathol 2017; 68: 119-27.
[42]
Wang F, Chen FF, Gao WB, et al. Identification of citrullinated peptides in the synovial fluid of patients with rheumatoid arthritis using LC-MALDI-TOF/TOF. Clin Rheumatol 2016; 35: 2185-94.
[43]
Lenert A, Fardo DW. Novel non-coding RNAs associated with rheumatoid arthritis in Asians by gene-based testingArthritis
Rheumatol 2017; 69 (suppl 10), Abstract no 1009
[44]
Gebauer M, Saas J, Haag J, et al. Repression of anti-proliferative factor tob1in osteoarthritic cartilage. Arthritis Res Ther 2005; 7: R274.
[45]
Alam I, Koller DL, Canete T, et al. Fine mapping of bone structure and strength QTLs in heterogeneous stock rat. Bone 2015; 81: 417-26.
[46]
Muslin AJ. MAPK signalling in cardiovascular health and disease: molecular mechanisms and therapeutic targets. Clin Sci (Lond) 2008; 115(7): 203-18.
[47]
Schon S, Huep G, Prante C, et al. Mutational and functional analyses of xylosyltransferases and their implication in osteoarthritis. Osteoarthritis Cartilage 2006; 14: 442-8.
[48]
Lopez-Serra P, Marcilla M, Villanueva A, et al. A DERL3-associated defect in the degradation of SLC2A1 mediates the Warburg effect. Nat Commun 2014; 5: 3608.
[49]
Macintyre AN, Gerriets VA, Nichols AG, et al. The glucose transporter Glut1 is selectively essential for CD4 T cell activation and effector function. Cell Metab 2014; 20(1): 61-72.
[50]
Freudenberg J, Lee HS, Han BG, et al. Genome-wide association study of rheumatoid arthritis in Koreans: population-specific loci as well as overlap with european susceptibility loci. Arthritis Rheum 2011; 63: 884-93.
[51]
Arias de la Rosa I, Escudero-Contreras A, Rodriguez-Cuenca S, et al. Defective glucose and lipid metabolism in rheumatoid arthritis is determined by chronic inflammation in metabolic tissues. J Intern Med 2018; 284(1): 61-77.
[52]
Park R, Kim TH, Ji JD. Gene expression profile in patients with axial spondyloarthritis: meta-analysis of publicly accessible microarray datasets. J Rheum Dis 2016; 23(6): 363-72.
[53]
Reimann F, Cox JJ, Belfer I, et al. Pain perception is altered by a nucleotide polymorphism in SCN9A. Proc Natl Acad Sci USA 2010; 107: 5148-53.