<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "journalpublishing3.dtd">
<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Molecular Medicine Reports</journal-id>
<journal-title-group>
<journal-title>Molecular Medicine Reports</journal-title></journal-title-group>
<issn pub-type="ppub">1791-2997</issn>
<issn pub-type="epub">1791-3004</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mmr.2012.1224</article-id>
<article-id pub-id-type="publisher-id">mmr-07-02-0603</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Analysis of critical molecules and signaling pathways in osteoarthritis and rheumatoid arthritis</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>XUE</surname><given-names>FENG</given-names></name><xref rid="af1-mmr-07-02-0603" ref-type="aff">1</xref><xref rid="fn1-mmr-07-02-0603" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHANG</surname><given-names>CHANGQING</given-names></name><xref rid="af2-mmr-07-02-0603" ref-type="aff">2</xref><xref rid="fn1-mmr-07-02-0603" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>HE</surname><given-names>ZHIMIN</given-names></name><xref rid="af1-mmr-07-02-0603" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>DING</surname><given-names>LIANG</given-names></name><xref rid="af1-mmr-07-02-0603" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>XIAO</surname><given-names>HAIJUN</given-names></name><xref rid="af1-mmr-07-02-0603" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-mmr-07-02-0603"/></contrib></contrib-group>
<aff id="af1-mmr-07-02-0603">
<label>1</label>Department of Orthopaedics, Fengxian Central Hospital, Shanghai 201400</aff>
<aff id="af2-mmr-07-02-0603">
<label>2</label>Department of Orthopaedics, The Six People&#x02019;s Hospital Affiliated to Shanghai Jiao Tong University, Shanghai 200233, P.R. China</aff>
<author-notes>
<corresp id="c1-mmr-07-02-0603">Correspondence to: Dr Haijun Xiao, Department of Orthopaedics, Fengxian Central Hospital, Fengxian District, 9588 Nanfeng Road, Shanghai 201400, P.R. China, E-mail: <email>xiaohaijun7@gmail.com</email></corresp><fn id="fn1-mmr-07-02-0603">
<label>&#x0002A;</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="ppub">
<month>2</month>
<year>2013</year></pub-date>
<pub-date pub-type="epub">
<day>04</day>
<month>12</month>
<year>2012</year></pub-date>
<volume>7</volume>
<issue>2</issue>
<fpage>603</fpage>
<lpage>607</lpage>
<history>
<date date-type="received">
<day>01</day>
<month>07</month>
<year>2012</year></date>
<date date-type="accepted">
<day>22</day>
<month>10</month>
<year>2012</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2013, Spandidos Publications</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.</license-p></license></permissions>
<abstract>
<p>Osteoarthritis (OA) and rheumatoid arthritis (RA) are the most prevalent forms of arthritis in the elderly. This study aimed to explore the molecular mechanisms of these diseases and identify underlying therapeutic targets. Using GSE1919 microarray data sets downloaded from the Gene Expression Omnibus database, we screened differentially expressed genes (DEGs) in OA and RA cells. The underlying molecular mechanisms of these crucial genes were investigated by Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Small molecule expression and SNP analysis were also conducted by searching CMap and dbSNP databases. More than 320 genes changed in the arthritic cells and there were only 196 DEGs between OA and RA. OA and RA activated the classic mitogen-activated protein kinase signaling pathway, insulin signaling pathway, antigen processing and presentation and intestinal immune network for IgA production. Graft-versus-host disease and autoimmune thyroid disease-related pathways were also activated in OA and RA. Parthenolide and alsterpaullone may be treatments for OA and RA and insulin-like growth factor 1, collagen &#x003B1;2(I) chain and special AT-rich sequence-binding protein 2 may be critical SNP molecules in arthritis. Our findings shed new light on the common molecular mechanisms of OA and RA and may provide theoretical support for further clinical therapeutic studies.</p></abstract>
<kwd-group>
<kwd>osteoarthritis</kwd>
<kwd>rheumatoid arthritis</kwd>
<kwd>signaling pathways</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Osteoarthritis (OA) is a group of states associated with defective articular cartilage and changes in the underlying bone.OA is divided into erosive or non-erosive. Erosive OA is more abrupt and commonly exhibits subchondral bone erosions (<xref rid="b1-mmr-07-02-0603" ref-type="bibr">1</xref>). Pathological changes in articular cartilage and subchondral bone result from chondrocyte imbalance in the extracellular matrix. Although numerous studies have reported probable chemical or mechanical causes of cartilage destruction (<xref rid="b2-mmr-07-02-0603" ref-type="bibr">2</xref>,<xref rid="b3-mmr-07-02-0603" ref-type="bibr">3</xref>), this area of research requires more detailed investigation.</p>
<p>Rheumatoid arthritis (RA) is a complex, chronic multisystemic autoimmune disease, which affects the synovial membranes of multiple joints, cartilage and bone as well as bursa and tendon sheaths (<xref rid="b4-mmr-07-02-0603" ref-type="bibr">4</xref>). RA is a prevalent chronic inflammatory joint disease affecting 0.5&#x02013;1&#x00025; of the world&#x02019;s population (<xref rid="b5-mmr-07-02-0603" ref-type="bibr">5</xref>). RA leads to severe morbidity and disability if incorrectly treated, imposing a substantial economic burden on the affected individuals and society. The inflammatory process associated with RA is primarily observed in the synovial tissue. Synovial hyperplasia results from synovial outgrowths or synovial villi, comprised of macrophages, synovial lining cells, lymphocytes and blood vessels (<xref rid="b6-mmr-07-02-0603" ref-type="bibr">6</xref>). Joint destruction occurs when the synovial pannus produces enzymes resulting in cartilage penetration, cartilage damage and joint erosion (<xref rid="b7-mmr-07-02-0603" ref-type="bibr">7</xref>).</p>
<p>Although RA and OA share similar symptoms, it has been demonstrated that RA follows an alternative inflammatory pathway of pathogenesis to OA. Diagnosis and assessment of RA and OA is largely based on semi-quantitative methods of diagnosis, including symptoms, joint damage and physical function (<xref rid="b8-mmr-07-02-0603" ref-type="bibr">8</xref>). At present, no cure exists for RA and OA and the management of these diseases depends upon early detection and aggressive treatment. Therefore, it is increasingly important to explore the molecular mechanisms of these diseases and analyze the associated signaling pathways, in order to uncover an effective therapeutic approach. In this study, we analyzed gene expression profiles of OA and RA cells to determine differentially expressed genes (DEGs) in the two forms of arthritis. Furthermore, through comparison we determined changed metabolic and non-metabolic pathways, small bioactive molecules and SNP corresponding genes associated with RA and OA.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Gene expression profiles of synovial tissue samples from RA and OA patients and normal donors</title>
<p>The transcription profile of GSE1919 was obtained from the National Center for Biotechnology Information Gene Expression Omnibus database (<ext-link xlink:href="http://www.ncbi.nlm.nih.gov/geo/" ext-link-type="uri">http://www.ncbi.nlm.nih.gov/geo/</ext-link>) and was based on the Affymetrix Human Genome U95A Array (Santa Clara, CA, USA). A total of 15 chips were used in this study, including 5 OA tissue chips, 5 RA tissue chips and 5 normal donor (ND) tissue chips (<xref rid="b9-mmr-07-02-0603" ref-type="bibr">9</xref>). The study was approved by the Ethics Committee of the Charit&#x000E9; Universit&#x000E4;tsmedizin Berlin and has been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki. All patients gave their informed consent prior to their inclusion in the study.</p></sec>
<sec>
<title>Analysis of DEGs</title>
<p>Raw data were normalized using the robust multichip average method (<xref rid="b10-mmr-07-02-0603" ref-type="bibr">10</xref>) with the default settings implemented in the R affy package (version 2.13.0). The Limma (linear models for microarray data) method was used to identify DEGs (<xref rid="b11-mmr-07-02-0603" ref-type="bibr">11</xref>). The original expression datasets from all conditions were extracted into expression estimates and used to construct the linear model. Significance of gene expression differences between OA, RA and ND cells were tested by classical t-test and P-values were adjusted for multiple comparisons using the false discovery rate (FDR) of Benjamini and Hochberg (<xref rid="b12-mmr-07-02-0603" ref-type="bibr">12</xref>). FDR-corrected P&lt;0.05 was considered to indicate a statistically significant difference.</p></sec>
<sec>
<title>Pathway analysis</title>
<p>Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database is a collection of manually drawn pathway maps of the molecular interaction and reaction networks. A total of 130 pathways, involving 2,287 genes, were collected from KEGG (updated 2011/06). The Database for Annotation, Visualization and Integrated Discovery (DAVID), a high-throughput and integrated data-mining environment, analyzed gene lists derived from high-throughput genomic experiments. The DAVID (<xref rid="b13-mmr-07-02-0603" ref-type="bibr">13</xref>,<xref rid="b14-mmr-07-02-0603" ref-type="bibr">14</xref>) was used to identify over-represented pathways based on the hypergeometric distribution. Pathways with P&lt;0.05 and count &gt;2 were considered to be significant.</p></sec>
<sec>
<title>Small molecule expression analysis</title>
<p>CMap (the connectivity map) is a collection of gene expression profiles from cultured human cells treated with bioactive small molecules. The database contains 6,100 bioactive small molecule-interfering tests and 7,056 corresponding gene expression profiles (<xref rid="b15-mmr-07-02-0603" ref-type="bibr">15</xref>). DEGs were analyzed through the CMap database to identify small bio-active molecules which resulted in similar or adverse gene expression. Probes of DEGs were converted to the accession number of GeneBank and then probe numbers for use in the CMap.</p></sec>
<sec>
<title>RA- and OA-related SNP analysis</title>
<p>RA- and OA- related SNPs were obtained following a dbSNP database search (<ext-link xlink:href="http://www.ncbi.nlm.nih.gov/projects/SNP/" ext-link-type="uri">http://www.ncbi.nlm.nih.gov/projects/SNP/</ext-link>) using the keywords &#x02018;osteoarthritis&#x02019; and &#x02018;osteoporosis&#x02019;. SNPs of RA and OA, which were suitable for probing, were acquired through the comparison of their corresponding genes with DEGs under pathological conditions.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Recognition of DEGs in different samples</title>
<p>Analysis of GSE1919 using the Limma method identified a total of 460 DEGs in OA tissues compared with normal tissues. In RAt issues 1,148 DEGs were identified in comparison with ND (P&lt;0.05; <xref rid="f1-mmr-07-02-0603" ref-type="fig">Fig. 1</xref>). Only 196 DEGs were identified when we compared the gene expression in OA tissues with that of RA. These results indicate similarities in the molecular mechanisms of OA and RA.</p></sec>
<sec>
<title>Analysis of pathways induced by arthritis</title>
<p>In arthritic tissues, gene expression profiles were significantly changed compared with the normal tissues. Therefore, DEGs were adopted to perform KEGG sub-pathway enrichment analysis. Significantly changed pathways with &#x02265;2 genes included and P&lt;0.05 in arthritis were obtained. It was demonstrated that the majority of pathways were involved in metabolic and non-metabolic processes, indicative of a large number of changes in arthritic tissues compared with normal tissues (<xref rid="tI-mmr-07-02-0603" ref-type="table">Table I</xref>). These results are likely to be important for drug discovery for the treatment of arthritis.</p></sec>
<sec>
<title>Analysis of small molecules resulting in RA and OA</title>
<p>DEGs were first divided into upregulated and downregulated genes and then enriched with significantly changed genes obtained from treatment of small molecules from the CMap database. Targeted molecules observed to induce similar effects to arthritis were selected and the 20 targeted molecules with the lowest P-values were enumerated (<xref rid="tII-mmr-07-02-0603" ref-type="table">Table II</xref>). Parthenolide and alsterpaullone were identified in OA and RA tissue analysis and are highly relevent molecules.</p></sec>
<sec>
<title>Analysis of RA- and OA-related SNPs</title>
<p>A total of 10 SNPs were obtained from the dbSNP database with the keyword &#x02018;osteoarthritis&#x02019; and 15 were obtained with the keyword &#x02018;osteoporosis&#x02019;. Following comparison of these acquired SNP corresponding genes with DEGs, we revealed that no arthritis-related SNP corresponding genes were the same as the previously identified DEGs and three osteoporosis-related SNP corresponding genes were identified in the DEGs (<xref rid="tIII-mmr-07-02-0603" ref-type="table">Table III</xref>).</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>During the development of OA and RA, significant changes in gene expression occur. The present study demonstrated that more than 320 genes changed in OA and RA. Study of these common DEGs may help identify potential broad-spectrum anti-arthritis drugs. Furthermore, only 196 DEGs were identified between OA and RA, including interleukin 3 receptor &#x003B1; (<italic>IL3RA</italic>), transforming growth factor &#x003B2; receptor III and <italic>CRYAB,</italic> indicating that the two diseases are correlated and drugs that simultaneously treat these diseases may exist.</p>
<p>Cluster analysis of DEGs demonstrated several common pathways associated with these diseases, including the classic mitogen-activated protein kinase (MAPK) signaling pathway and the insulin signaling pathway. The signaling pathways leading to MAPK activation have been linked to various catabolic responses in diseases, including arthritis (<xref rid="b16-mmr-07-02-0603" ref-type="bibr">16</xref>,<xref rid="b17-mmr-07-02-0603" ref-type="bibr">17</xref>). Two immune pathways, antigen processing and presentation and intestinal immune network for IgA production, were also activated in the arthritic tissues, indicating that the immune response is involved in these diseases. Inflammation and cytokines play significant roles in RA and in certain cases of OA (<xref rid="b17-mmr-07-02-0603" ref-type="bibr">17</xref>). Furthermore, changes of several cell adhesion molecules, including integrin &#x003B2;2 (<italic>ITGB2</italic>) (<xref rid="b18-mmr-07-02-0603" ref-type="bibr">18</xref>) and protein tyrosine phosphatase receptor type c (<italic>PTPRC</italic>) (<xref rid="b19-mmr-07-02-0603" ref-type="bibr">19</xref>) and lysosome-related molecules, including phospholipase A2 group XV (<italic>PLA2G15</italic>) (<xref rid="b20-mmr-07-02-0603" ref-type="bibr">20</xref>) and adaptor-related protein complex 1&#x003B2; (<italic>AP1B1</italic>) (<xref rid="b21-mmr-07-02-0603" ref-type="bibr">21</xref>) in OA and RA cells demonstrated that the two diseases altered their microenvironment and removed the exogenous substances by the lysosome. In addition, graft-versus-host (<xref rid="b22-mmr-07-02-0603" ref-type="bibr">22</xref>) and autoimmune thyroid disease-related pathways were also activated in OA and RA (<xref rid="b23-mmr-07-02-0603" ref-type="bibr">23</xref>). Further investigation of these pathways is likely to be shed light the network of signal pathways under OA and RA. More studies on the DEGs between OA and RA may provide useful information to differentiate the molecular mechanisms associated with OA and RA.</p>
<p>Based on the DEGs and data from the CMap database, we acquired a series of small molecules. Two of these small molecules, parthenolide and alsterpaullone, demonstrated significant similarity in OA and RA tissues (P&lt;0.05) and required additional analysis to determine their suitability as broad spectrum anti-arthritis drugs.</p>
<p>Parthenolide is a sesquiterpene lactone of the germacranolide class which occurs naturally in the plant feverfew (<italic>Tanacetum parthenium</italic>). Parthenolide modulates the NF-&#x003BA;B-mediated inflammatory responses in experimental atherosclerosis (<xref rid="b24-mmr-07-02-0603" ref-type="bibr">24</xref>) and blocks lipopolysaccharide-induced osteolysis through suppression of NF-&#x003BA;B activity (<xref rid="b25-mmr-07-02-0603" ref-type="bibr">25</xref>). Parthenolide induces apoptosis in acute myelogenous leukemia cells, leaving normal bone marrow cells relatively unscathed (<xref rid="b26-mmr-07-02-0603" ref-type="bibr">26</xref>). Pharthenolide also exhibits microtubule-interfering activity (<xref rid="b27-mmr-07-02-0603" ref-type="bibr">27</xref>), anti-inflammatory and anti-hyperalgesic effects (<xref rid="b28-mmr-07-02-0603" ref-type="bibr">28</xref>) and activity against the parasite <italic>Leishmania amazonensis</italic>(<xref rid="b29-mmr-07-02-0603" ref-type="bibr">29</xref>). Since numerous cases of OA and RA result from the interruption of immune responses, including inflammation, it is probable that parthenolide is a suitable therapeutic for these ailments.</p>
<p>Alsterpaullone is a potent, ATP-competitive inhibitor of the cell cycle regulating cyclin-dependent kinases CDK1/cyclin B (IC<sub>50</sub> &#x0003D; 0.035 &#x003BC;M) and an inhibitor of GSK-3&#x003B2; and the neuronal CDK5/p25 (<xref rid="b30-mmr-07-02-0603" ref-type="bibr">30</xref>). In addition, alsterpaullone induces apoptosis by activation of caspase-8 and -9 followed by disruption of mitochondrial potential (<xref rid="b31-mmr-07-02-0603" ref-type="bibr">31</xref>).</p>
<p>Through analysis of RA- and OA-related SNPs, we identified that three osteoporosis-related SNP corresponding genes (<italic>IGF1, COL1A2</italic> and <italic>SATB2</italic>) were differentially expressed. Insulin-like growth factor 1 (IGF-1), also called somatomedin C, is a protein encoded by the IGF1 gene in humans (<xref rid="b32-mmr-07-02-0603" ref-type="bibr">32</xref>,<xref rid="b33-mmr-07-02-0603" ref-type="bibr">33</xref>). IGF-1 is expressed and produced by chondrocytes and is one of the anabolic growth factors associated with cartilage (<xref rid="b34-mmr-07-02-0603" ref-type="bibr">34</xref>) and thus is involved in arthritis. Collagen &#x003B1;2(I) chain is a protein encoded by the <italic>COL1A2</italic> gene in humans (<xref rid="b35-mmr-07-02-0603" ref-type="bibr">35</xref>,<xref rid="b36-mmr-07-02-0603" ref-type="bibr">36</xref>). Mutations in this gene are associated with osteogenesis imperfecta, Ehlers-Danlos syndrome, idiopathic osteoporosis and atypical Marfan syndrome. Special AT-rich sequence-binding protein 2 (SATB2), also known as DNA-binding protein SATB2, is a human protein encoded by the SATB2 gene (<xref rid="b37-mmr-07-02-0603" ref-type="bibr">37</xref>). SATB2 has been identified to be disrupted in two unrelated cases with <italic>de novo</italic> apparently balanced chromosome translocations associated with cleft palate and Pierre Robin Sequence (<xref rid="b38-mmr-07-02-0603" ref-type="bibr">38</xref>). The present study also demonstrated that these DEGs were often mutated under arthritis and thereby more studies should focus on their roles in OA and RA.</p>
<p>The present findings shed new light on the molecular mechanisms of OA and RA. Results revealed more than 320 DEGs in both diseases which may be involved in OA and RA development via MAPK and insulin signaling pathways, antigen processing and presentation, intestinal immune network, graft-versus-host disease and autoimmune thyroid disease-related pathways. Notably, parthenolide and alsterpaullone were identified as important small molecules involved in the induction of anti-inflammatory and apoptosis-related gene expression and thus we suggest that these molecules may be suitable anti-arthritis drugs for OA and RA. Furthermore, mutations of <italic>IGF1, COL1A2</italic> and <italic>SATB2</italic> genes were critical for the pathogenesis of OA and RA. However, there are specific limitations in our study. The pathway enrichment was only based on the connection between genes and therefore genes without strong neighbors are likely to be excluded from the analysis (<xref rid="b13-mmr-07-02-0603" ref-type="bibr">13</xref>). In addition, further experimental analysis is required to confirm the conclusions of the present study.</p></sec></body>
<back>
<ref-list>
<title>References</title>
<ref id="b1-mmr-07-02-0603"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Roach</surname><given-names>HI</given-names></name></person-group><article-title>The complex pathology of osteoarthritis: even mitochondria are involved</article-title><source>Arthritis Rheum</source><volume>58</volume><fpage>2217</fpage><lpage>2218</lpage><year>2008</year></element-citation></ref>
<ref id="b2-mmr-07-02-0603"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Berenbaum</surname><given-names>F</given-names></name></person-group><article-title>New horizons and perspectives in the treatment of osteoarthritis</article-title><source>Arthritis Res Ther</source><volume>10</volume><issue>Suppl 2</issue><fpage>S1</fpage><year>2008</year></element-citation></ref>
<ref id="b3-mmr-07-02-0603"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dieppe</surname><given-names>P</given-names></name></person-group><article-title>Osteoarthritis of the knee in primary care</article-title><source>BMJ</source><volume>336</volume><fpage>105</fpage><lpage>106</lpage><year>2008</year></element-citation></ref>
<ref id="b4-mmr-07-02-0603"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gay</surname><given-names>S</given-names></name><name><surname>Gay</surname><given-names>RE</given-names></name><name><surname>Koopman</surname><given-names>WJ</given-names></name></person-group><article-title>Molecular and cellular mechanisms of joint destruction in rheumatoid arthritis: two cellular mechanisms explain joint destruction?</article-title><source>Ann Rheum Dis</source><volume>52</volume><issue>Suppl 1</issue><fpage>S39</fpage><lpage>S47</lpage><year>1993</year></element-citation></ref>
<ref id="b5-mmr-07-02-0603"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kvien</surname><given-names>TK</given-names></name></person-group><article-title>Epidemiology and burden of illness of rheumatoid arthritis</article-title><source>Pharmacoeconomics</source><volume>22</volume><fpage>1</fpage><lpage>12</lpage><year>2004</year></element-citation></ref>
<ref id="b6-mmr-07-02-0603"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Beasley</surname><given-names>J</given-names></name></person-group><article-title>Osteoarthritis and rheumatoid arthritis: conservative therapeutic management</article-title><source>J Hand Ther</source><volume>25</volume><fpage>163</fpage><lpage>171</lpage><year>2012</year></element-citation></ref>
<ref id="b7-mmr-07-02-0603"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Scott</surname><given-names>DL</given-names></name><name><surname>Symmons</surname><given-names>DP</given-names></name></person-group><article-title>The role of specialists in managing established rheumatoid arthritis</article-title><source>Rheumatology (Oxford)</source><volume>47</volume><fpage>237</fpage><lpage>238</lpage><year>2008</year></element-citation></ref>
<ref id="b8-mmr-07-02-0603"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Biswas</surname><given-names>S</given-names></name><name><surname>Manikandan</surname><given-names>J</given-names></name><name><surname>Pushparaj</surname><given-names>PN</given-names></name></person-group><article-title>Decoding the differential biomarkers of Rheumatoid arthritis and Osteoarthritis: A functional genomics paradigm to design disease specific therapeutics</article-title><source>Bioinformation</source><volume>6</volume><fpage>153</fpage><lpage>157</lpage><year>2011</year></element-citation></ref>
<ref id="b9-mmr-07-02-0603"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ungethuem</surname><given-names>U</given-names></name><name><surname>Haeupl</surname><given-names>T</given-names></name><name><surname>Witt</surname><given-names>H</given-names></name><etal/></person-group><article-title>Molecular signatures and new candidates to target the pathogenesis of rheumatoid arthritis</article-title><source>Physiol Genomics</source><volume>42A</volume><fpage>267</fpage><lpage>282</lpage><year>2010</year></element-citation></ref>
<ref id="b10-mmr-07-02-0603"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Irizarry</surname><given-names>RA</given-names></name><name><surname>Hobbs</surname><given-names>B</given-names></name><name><surname>Collin</surname><given-names>F</given-names></name><etal/></person-group><article-title>Exploration, normalization and summaries of high density oligonucleotide array probe level data</article-title><source>Biostatistics</source><volume>4</volume><fpage>249</fpage><lpage>264</lpage><year>2003</year></element-citation></ref>
<ref id="b11-mmr-07-02-0603"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Smyth</surname><given-names>GK</given-names></name></person-group><article-title>Linear models and empirical bayes methods for assessing differential expression in microarray experiments</article-title><source>Stat Appl Genet Mol Biol</source><volume>3</volume><fpage>3</fpage><year>2004</year></element-citation></ref>
<ref id="b12-mmr-07-02-0603"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Benjamini</surname><given-names>Y</given-names></name><name><surname>Hochberg</surname><given-names>Y</given-names></name></person-group><article-title>Controlling the false discovery rate: a practical and powerful approach to multiple testing</article-title><source>J R Stat Soc Series B Stat Methodol</source><volume>57</volume><fpage>289</fpage><lpage>300</lpage><year>1995</year></element-citation></ref>
<ref id="b13-mmr-07-02-0603"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname><given-names>DW</given-names></name><name><surname>Sherman</surname><given-names>BT</given-names></name><name><surname>Lempicki</surname><given-names>RA</given-names></name></person-group><article-title>Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources</article-title><source>Nat Protoc</source><volume>4</volume><fpage>44</fpage><lpage>57</lpage><year>2009</year></element-citation></ref>
<ref id="b14-mmr-07-02-0603"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Huang da</surname><given-names>W</given-names></name><name><surname>Sherman</surname><given-names>BT</given-names></name><name><surname>Lempicki</surname><given-names>RA</given-names></name></person-group><article-title>Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists</article-title><source>Nucleic Acids Res</source><volume>37</volume><fpage>1</fpage><lpage>13</lpage><year>2009</year></element-citation></ref>
<ref id="b15-mmr-07-02-0603"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lamb</surname><given-names>J</given-names></name><name><surname>Crawford</surname><given-names>ED</given-names></name><name><surname>Peck</surname><given-names>D</given-names></name><etal/></person-group><article-title>The connectivity map: using gene-expression signatures to connect small molecules, genes and disease</article-title><source>Science</source><volume>313</volume><fpage>1929</fpage><lpage>1935</lpage><year>2006</year></element-citation></ref>
<ref id="b16-mmr-07-02-0603"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sondergaard</surname><given-names>BC</given-names></name><name><surname>Schultz</surname><given-names>N</given-names></name><name><surname>Madsen</surname><given-names>SH</given-names></name><name><surname>Bay-Jensen</surname><given-names>AC</given-names></name><name><surname>Kassem</surname><given-names>M</given-names></name><name><surname>Karsdal</surname><given-names>MA</given-names></name></person-group><article-title>MAPKs are essential upstream signaling pathways in proteolytic cartilage degradation-divergence in pathways leading to aggrecanase and MMP-mediated articular cartilage degradation</article-title><source>Osteoarthritis Cartilage</source><volume>18</volume><fpage>279</fpage><lpage>288</lpage><year>2010</year></element-citation></ref>
<ref id="b17-mmr-07-02-0603"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lawrence</surname><given-names>MC</given-names></name><name><surname>Jivan</surname><given-names>A</given-names></name><name><surname>Shao</surname><given-names>C</given-names></name><etal/></person-group><article-title>The roles of MAPKs in disease</article-title><source>Cell Res</source><volume>18</volume><fpage>436</fpage><lpage>442</lpage><year>2008</year></element-citation></ref>
<ref id="b18-mmr-07-02-0603"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kotovuori</surname><given-names>A</given-names></name><name><surname>Pessa-Morikawa</surname><given-names>T</given-names></name><name><surname>Kotovuori</surname><given-names>P</given-names></name><name><surname>Nortamo</surname><given-names>P</given-names></name><name><surname>Gahmberg</surname><given-names>CG</given-names></name></person-group><article-title>ICAM-2 and a peptide from its binding domain are efficient activators of leukocyte adhesion and integrin affinity</article-title><source>J Immunol</source><volume>162</volume><fpage>6613</fpage><lpage>6620</lpage><year>1999</year></element-citation></ref>
<ref id="b19-mmr-07-02-0603"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kaplan</surname><given-names>R</given-names></name><name><surname>Morse</surname><given-names>B</given-names></name><name><surname>Huebner</surname><given-names>K</given-names></name><etal/></person-group><article-title>Cloning of three human tyrosine phosphatases reveals a multigene family of receptor-linked protein-tyrosine-phosphatases expressed in brain</article-title><source>Proc Natl Acad Sci U S A</source><volume>87</volume><fpage>7000</fpage><lpage>7004</lpage><year>1990</year></element-citation></ref>
<ref id="b20-mmr-07-02-0603"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>A</given-names></name><name><surname>Dennis</surname><given-names>EA</given-names></name></person-group><article-title>Mammalian lysophospholipases</article-title><source>Biochim Biophys Acta</source><volume>1439</volume><fpage>1</fpage><lpage>16</lpage><year>1999</year></element-citation></ref>
<ref id="b21-mmr-07-02-0603"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Peyrard</surname><given-names>M</given-names></name><name><surname>Fransson</surname><given-names>I</given-names></name><name><surname>Xie</surname><given-names>YG</given-names></name><etal/></person-group><article-title>Characterization of a new member of the human beta-adaptin gene family from chromosome 22q12, a candidate meningioma gene</article-title><source>Hum Mol Genet</source><volume>3</volume><fpage>1393</fpage><lpage>1399</lpage><year>1994</year></element-citation></ref>
<ref id="b22-mmr-07-02-0603"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ferrara</surname><given-names>JL</given-names></name><name><surname>Levine</surname><given-names>JE</given-names></name><name><surname>Reddy</surname><given-names>P</given-names></name><name><surname>Holler</surname><given-names>E</given-names></name></person-group><article-title>Graft-versus-host disease</article-title><source>Lancet</source><volume>373</volume><fpage>1550</fpage><lpage>1561</lpage><year>2009</year></element-citation></ref>
<ref id="b23-mmr-07-02-0603"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Weetman</surname><given-names>AP</given-names></name><name><surname>McGregor</surname><given-names>AM</given-names></name></person-group><article-title>Autoimmune thyroid disease: further developments in our understanding</article-title><source>Endocr Rev</source><volume>15</volume><fpage>788</fpage><lpage>830</lpage><year>1994</year></element-citation></ref>
<ref id="b24-mmr-07-02-0603"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>L&#x000F3;pez-Franco</surname><given-names>O</given-names></name><name><surname>Hern&#x000E1;ndez-Vargas</surname><given-names>P</given-names></name><name><surname>Ortiz-Mu&#x000F1;oz</surname><given-names>G</given-names></name><etal/></person-group><article-title>Parthenolide modulates the NF-kappaB-mediated inflammatory responses in experimental atherosclerosis</article-title><source>Arterioscler Thromb Vasc Biol</source><volume>26</volume><fpage>1864</fpage><lpage>1870</lpage><year>2006</year></element-citation></ref>
<ref id="b25-mmr-07-02-0603"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yip</surname><given-names>KH</given-names></name><name><surname>Zheng</surname><given-names>MH</given-names></name><name><surname>Feng</surname><given-names>HT</given-names></name><name><surname>Steer</surname><given-names>JH</given-names></name><name><surname>Joyce</surname><given-names>DA</given-names></name><name><surname>Xu</surname><given-names>J</given-names></name></person-group><article-title>Sesquiterpene lactone parthenolide blocks lipopolysaccharide-induced osteolysis through the suppression of NF-kappaB activity</article-title><source>J Bone Miner Res</source><volume>19</volume><fpage>1905</fpage><lpage>1916</lpage><year>2004</year></element-citation></ref>
<ref id="b26-mmr-07-02-0603"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guzman</surname><given-names>ML</given-names></name><name><surname>Rossi</surname><given-names>RM</given-names></name><name><surname>Karnischky</surname><given-names>L</given-names></name><etal/></person-group><article-title>The sesquiterpene lactone parthenolide induces apoptosis of human acute myelogenous leukemia stem and progenitor cells</article-title><source>Blood</source><volume>105</volume><fpage>4163</fpage><lpage>4169</lpage><year>2005</year></element-citation></ref>
<ref id="b27-mmr-07-02-0603"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Miglietta</surname><given-names>A</given-names></name><name><surname>Bozzo</surname><given-names>F</given-names></name><name><surname>Gabriel</surname><given-names>L</given-names></name><name><surname>Bocca</surname><given-names>C</given-names></name></person-group><article-title>Microtubule-interfering activity of parthenolide</article-title><source>Chem Biol Interact</source><volume>149</volume><fpage>165</fpage><lpage>173</lpage><year>2004</year></element-citation></ref>
<ref id="b28-mmr-07-02-0603"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Feltenstein</surname><given-names>MW</given-names></name><name><surname>Schuhly</surname><given-names>W</given-names></name><name><surname>Warnick</surname><given-names>JE</given-names></name><name><surname>Fischer</surname><given-names>NH</given-names></name><name><surname>Sufka</surname><given-names>KJ</given-names></name></person-group><article-title>Anti-inflammatory and anti-hyperalgesic effects of sesquiterpene lactones from Magnolia and Bear&#x02019;s foot</article-title><source>Pharmacol Biochem Behav</source><volume>79</volume><fpage>299</fpage><lpage>302</lpage><year>2004</year></element-citation></ref>
<ref id="b29-mmr-07-02-0603"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tiuman</surname><given-names>TS</given-names></name><name><surname>Ueda-Nakamura</surname><given-names>T</given-names></name><name><surname>Garcia Cortez</surname><given-names>DA</given-names></name><etal/></person-group><article-title>Antileishmanial activity of parthenolide, a sesquiterpene lactone isolated from <italic>Tanacetum parthenium</italic></article-title><source>Antimicrob Agents Chemother</source><volume>49</volume><fpage>176</fpage><lpage>182</lpage><year>2005</year></element-citation></ref>
<ref id="b30-mmr-07-02-0603"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Leost</surname><given-names>M</given-names></name><name><surname>Schultz</surname><given-names>C</given-names></name><name><surname>Link</surname><given-names>A</given-names></name><etal/></person-group><article-title>Paullones are potent inhibitors of glycogen synthase kinase-3beta and cyclin-dependent kinase 5/p25</article-title><source>Eur J Biochem</source><volume>267</volume><fpage>5983</fpage><lpage>5994</lpage><year>2000</year></element-citation></ref>
<ref id="b31-mmr-07-02-0603"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lahusen</surname><given-names>T</given-names></name><name><surname>De Siervi</surname><given-names>A</given-names></name><name><surname>Kunick</surname><given-names>C</given-names></name><name><surname>Senderowicz</surname><given-names>AM</given-names></name></person-group><article-title>Alsterpaullone, a novel cyclin-dependent kinase inhibitor, induces apoptosis by activation of caspase-9 due to perturbation in mitochondrial membrane potential</article-title><source>Mol Carcinog</source><volume>36</volume><fpage>183</fpage><lpage>194</lpage><year>2003</year></element-citation></ref>
<ref id="b32-mmr-07-02-0603"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hoppener</surname><given-names>JW</given-names></name><name><surname>de Pagter-Holthuizen</surname><given-names>P</given-names></name><name><surname>Geurts van Kessel</surname><given-names>AH</given-names></name><etal/></person-group><article-title>The human gene encoding insulin-like growth factor I is located on chromosome 12</article-title><source>Hum Genet</source><volume>69</volume><fpage>157</fpage><lpage>160</lpage><year>1985</year></element-citation></ref>
<ref id="b33-mmr-07-02-0603"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jansen</surname><given-names>M</given-names></name><name><surname>van Schaik</surname><given-names>FM</given-names></name><name><surname>Ricker</surname><given-names>AT</given-names></name><etal/></person-group><article-title>Sequence of cDNA encoding human insulin-like growth factor I precursor</article-title><source>Nature</source><volume>306</volume><fpage>609</fpage><lpage>611</lpage><year>1983</year></element-citation></ref>
<ref id="b34-mmr-07-02-0603"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Studer</surname><given-names>RK</given-names></name></person-group><article-title>Nitric oxide decreases IGF-1 receptor function in vitro; glutathione depletion enhances this effect in vivo</article-title><source>Osteoarthritis Cartilage</source><volume>12</volume><fpage>863</fpage><lpage>869</lpage><year>2004</year></element-citation></ref>
<ref id="b35-mmr-07-02-0603"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Retief</surname><given-names>E</given-names></name><name><surname>Parker</surname><given-names>MI</given-names></name><name><surname>Retief</surname><given-names>AE</given-names></name></person-group><article-title>Regional chromosome mapping of human collagen genes alpha 2(I) and alpha 1(I) (COLIA2 and COLIA1)</article-title><source>Hum Genet</source><volume>69</volume><fpage>304</fpage><lpage>308</lpage><year>1985</year></element-citation></ref>
<ref id="b36-mmr-07-02-0603"><label>36</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wenstrup</surname><given-names>RJ</given-names></name><name><surname>Cohn</surname><given-names>DH</given-names></name><name><surname>Cohen</surname><given-names>T</given-names></name><name><surname>Byers</surname><given-names>PH</given-names></name></person-group><article-title>Arginine for glycine substitution in the triple-helical domain of the products of one alpha 2(I) collagen allele (COL1A2) produces the osteogenesis imperfecta type IV phenotype</article-title><source>J Biol Chem</source><volume>263</volume><fpage>7734</fpage><lpage>7740</lpage><year>1988</year></element-citation></ref>
<ref id="b37-mmr-07-02-0603"><label>37</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kikuno</surname><given-names>R</given-names></name><name><surname>Nagase</surname><given-names>T</given-names></name><name><surname>Ishikawa</surname><given-names>K</given-names></name><etal/></person-group><article-title>Prediction of the coding sequences of unidentified human genes. XIV The complete sequences of 100 new cDNA clones from brain which code for large proteins in vitro</article-title><source>DNA Res</source><volume>6</volume><fpage>197</fpage><lpage>205</lpage><year>1999</year></element-citation></ref>
<ref id="b38-mmr-07-02-0603"><label>38</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>FitzPatrick</surname><given-names>DR</given-names></name><name><surname>Carr</surname><given-names>IM</given-names></name><name><surname>McLaren</surname><given-names>L</given-names></name><etal/></person-group><article-title>Identification of SATB2 as the cleft palate gene on 2q32-q33</article-title><source>Hum Mol Genet</source><volume>12</volume><fpage>2491</fpage><lpage>2501</lpage><year>2003</year></element-citation></ref></ref-list></back>
<floats-group>
<fig id="f1-mmr-07-02-0603" position="float">
<label>Figure 1</label>
<caption>
<p>Venn diagram indicates the number of overlapping genes differentially expressed between normal and arthritic tissues. Of the 11,289 screened genes from micorarray, 1337 were differentially expressed between normal and arthritic tissues, including 460 genes between OA and ND, 1148 genes between RA and ND, and 196 genes between RA and OA. -, comparison between two groups. OA, osteoarthritis; RA, rheumatoid arthritis; ND, normal donor.</p></caption>
<graphic xlink:href="MMR-07-02-0603-g00.gif"/></fig>
<table-wrap id="tI-mmr-07-02-0603" position="float">
<label>Table I</label>
<caption>
<p>Difference in signaling pathways between normal and arthritic tissues.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Arthritic tissue</th>
<th align="center" valign="bottom">Term</th>
<th align="center" valign="bottom">P-value</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">OA-ND</td>
<td align="left" valign="top">hsa04612:Antigen processing and presentation</td>
<td align="center" valign="top">7.07E-04</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05322:Systemic lupus erythematosus</td>
<td align="center" valign="top">7.72E-04</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04910:Insulin signaling pathway</td>
<td align="center" valign="top">0.001034</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05332:Graft-versus-host disease</td>
<td align="center" valign="top">0.002426</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa03320:PPAR signaling pathway</td>
<td align="center" valign="top">0.003083</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04940:Type I diabetes mellitus</td>
<td align="center" valign="top">0.003567</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05416:Viral myocarditis</td>
<td align="center" valign="top">0.00369</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05330:Allograft rejection</td>
<td align="center" valign="top">0.008703</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04640:Hematopoietic cell lineage</td>
<td align="center" valign="top">0.011659</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04010:MAPK signaling pathway</td>
<td align="center" valign="top">0.014961</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05310:Asthma</td>
<td align="center" valign="top">0.019068</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04514:Cell adhesion molecules</td>
<td align="center" valign="top">0.019897</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04142:Lysosome</td>
<td align="center" valign="top">0.024332</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04672:Intestinal immune network for IgA production</td>
<td align="center" valign="top">0.030296</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04920:Adipocytokine signaling pathway</td>
<td align="center" valign="top">0.032485</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05320:Autoimmune thyroid disease</td>
<td align="center" valign="top">0.035251</td></tr>
<tr>
<td align="left" valign="top">RA-OA</td>
<td align="left" valign="top">hsa04060:Cytokine-cytokine receptor interaction</td>
<td align="center" valign="top">2.55E-06</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05340:Primary immunodeficiency</td>
<td align="center" valign="top">1.52E-05</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04062:Chemokine signaling pathway</td>
<td align="center" valign="top">0.002685</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04630:Jak-STAT signaling pathway</td>
<td align="center" valign="top">0.003031</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04650:Natural killer cell-mediated cytotoxicity</td>
<td align="center" valign="top">0.004972</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04660:T cell receptor signaling pathway</td>
<td align="center" valign="top">0.007133</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04672:Intestinal immune network for IgA production</td>
<td align="center" valign="top">0.00735</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa02010:ABC transporters</td>
<td align="center" valign="top">0.032296</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04510:Focal adhesion</td>
<td align="center" valign="top">0.040002</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04640:Hematopoietic cell lineage</td>
<td align="center" valign="top">0.04746</td></tr>
<tr>
<td align="left" valign="top">RA-ND</td>
<td align="left" valign="top">hsa04666:Fc&#x003B3; R-mediated phagocytosis</td>
<td align="center" valign="top">7.49E-10</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04612:Antigen processing and presentation</td>
<td align="center" valign="top">2.56E-07</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04062:Chemokine signaling pathway</td>
<td align="center" valign="top">8.32E-07</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04672:Intestinal immune network for IgA production</td>
<td align="center" valign="top">8.82E-07</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05330:Allograft rejection</td>
<td align="center" valign="top">1.71E-06</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04514:Cell adhesion molecules</td>
<td align="center" valign="top">2.55E-06</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04940:Type I diabetes mellitus</td>
<td align="center" valign="top">2.58E-06</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05416:Viral myocarditis</td>
<td align="center" valign="top">4.06E-06</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05332:Graft-versus-host disease</td>
<td align="center" valign="top">5.22E-06</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05322:Systemic lupus erythematosus</td>
<td align="center" valign="top">8.12E-06</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04650:Natural killer cell-mediated cytotoxicity</td>
<td align="center" valign="top">2.57E-05</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05310:Asthma</td>
<td align="center" valign="top">3.00E-05</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04662:B cell receptor signaling pathway</td>
<td align="center" valign="top">3.72E-05</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04660:T cell receptor signaling pathway</td>
<td align="center" valign="top">3.87E-05</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05340:Primary immunodeficiency</td>
<td align="center" valign="top">4.24E-05</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04670:Leukocyte transendothelial migration</td>
<td align="center" valign="top">1.71E-04</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04640:Hematopoietic cell lineage</td>
<td align="center" valign="top">2.68E-04</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04620:Toll-like receptor signaling pathway</td>
<td align="center" valign="top">3.16E-04</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05320:Autoimmune thyroid disease</td>
<td align="center" valign="top">5.90E-04</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04664:Fc&#x0025B; RI signaling pathway</td>
<td align="center" valign="top">6.59E-04</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04010:MAPK signaling pathway</td>
<td align="center" valign="top">0.001477</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04060:Cytokine-cytokine receptor interaction</td>
<td align="center" valign="top">0.001906</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04520:Adherens junction</td>
<td align="center" valign="top">0.004307</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04142:Lysosome</td>
<td align="center" valign="top">0.005237</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04722:Neurotrophin signaling pathway</td>
<td align="center" valign="top">0.019966</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05210:Colorectal cancer</td>
<td align="center" valign="top">0.022059</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04512:ECM-receptor interaction</td>
<td align="center" valign="top">0.022059</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04910:Insulin signaling pathway</td>
<td align="center" valign="top">0.02415</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04510:Focal adhesion</td>
<td align="center" valign="top">0.031928</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05221:Acute myeloid leukemia</td>
<td align="center" valign="top">0.039772</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa04810:Regulation of actin cytoskeleton</td>
<td align="center" valign="top">0.04152</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">hsa05120:Epithelial cell signaling in <italic>Helicobacter pylori</italic> infection</td>
<td align="center" valign="top">0.048088</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-mmr-07-02-0603">
<p>OA, osteoarthritis; RA, rheumatoid arthritis; ND, normal donor.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-mmr-07-02-0603" position="float">
<label>Table II</label>
<caption>
<p>Intersection of gene expressions between small bio-active molecules and the differentially expressed genes of arthritis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Arthritic tissue</th>
<th align="center" valign="bottom">CMap name</th>
<th align="center" valign="bottom">P-value</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">OA vs. ND</td>
<td align="left" valign="top">Doxorubicin</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">H-7</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Alsterpaullone</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">GW-8510</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Anisomycin</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Thapsigargin</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">MG-262</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Parthenolide</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Withaferin A</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Cephaeline</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">15-delta prostaglandin J2</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Mitoxantrone</td>
<td align="left" valign="top">0.00002</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Valinomycin</td>
<td align="left" valign="top">0.00006</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Disulfiram</td>
<td align="left" valign="top">0.00016</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Lomustine</td>
<td align="left" valign="top">0.00024</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Terfenadine</td>
<td align="left" valign="top">0.00026</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Lanatoside C</td>
<td align="left" valign="top">0.00026</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Gossypol</td>
<td align="left" valign="top">0.00052</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">5224221</td>
<td align="left" valign="top">0.00056</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">5194442</td>
<td align="left" valign="top">0.00062</td></tr>
<tr>
<td align="left" valign="top">RA vs. ND</td>
<td align="left" valign="top">Thapsigargin</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Parthenolide</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Niclosamide</td>
<td align="left" valign="top">0</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Alsterpaullone</td>
<td align="left" valign="top">0.00002</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Helveticoside</td>
<td align="left" valign="top">0.00016</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Valinomycin</td>
<td align="left" valign="top">0.0003</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Fluticasone</td>
<td align="left" valign="top">0.00097</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">5194442</td>
<td align="left" valign="top">0.00105</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Cephaeline</td>
<td align="left" valign="top">0.00134</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Diphenylpyraline</td>
<td align="left" valign="top">0.00179</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Tiapride</td>
<td align="left" valign="top">0.00192</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Methylergometrine</td>
<td align="left" valign="top">0.00219</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Metixene</td>
<td align="left" valign="top">0.00292</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Methyldopate</td>
<td align="left" valign="top">0.00294</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Lanatoside C</td>
<td align="left" valign="top">0.00326</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">CP-320650-01</td>
<td align="left" valign="top">0.00329</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Enoxacin</td>
<td align="left" valign="top">0.00394</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Procainamide</td>
<td align="left" valign="top">0.004</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">CP-690334-01</td>
<td align="left" valign="top">0.00445</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">Tranylcypromine</td>
<td align="left" valign="top">0.00449</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-mmr-07-02-0603">
<p>OA, osteoarthritis; RA, rheumatoid arthritis; ND, normal donor.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-mmr-07-02-0603" position="float">
<label>Table III</label>
<caption>
<p>Corresponding differently expressed genes of disease-related SNPs.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Arthritic tissue</th>
<th align="center" valign="bottom">Gene</th>
<th align="center" valign="bottom">SNP ID</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">OA-ND</td>
<td align="left" valign="top">IGF1</td>
<td align="left" valign="top">121912430</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">COL1A2</td>
<td align="left" valign="top">72658152</td></tr>
<tr>
<td align="left" valign="top">RA-ND</td>
<td align="left" valign="top">IGF1</td>
<td align="left" valign="top">1E&#x0002B;08</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">SATB2</td>
<td align="left" valign="top">1E&#x0002B;08</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-mmr-07-02-0603">
<p>OA, osteoarthritis; RA, rheumatoid arthritis; ND, normal donor. SNP ID represents the identification number from the dbSNP database. SNP, single nucleotide polymorphism.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
