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<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.2016.4822</article-id>
<article-id pub-id-type="publisher-id">mmr-13-03-2627</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Transcriptomic study of high-glucose effects on human skin fibroblast cells</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>PANG</surname><given-names>LINGXIA</given-names></name><xref rid="af1-mmr-13-03-2627" ref-type="aff">1</xref><xref rid="fn1-mmr-13-03-2627" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>WANG</surname><given-names>YOUPEI</given-names></name><xref rid="af2-mmr-13-03-2627" ref-type="aff">2</xref><xref rid="fn1-mmr-13-03-2627" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHENG</surname><given-names>MEIQIN</given-names></name><xref rid="af2-mmr-13-03-2627" ref-type="aff">2</xref><xref ref-type="corresp" rid="c1-mmr-13-03-2627"/></contrib>
<contrib contrib-type="author">
<name><surname>WANG</surname><given-names>QING</given-names></name><xref rid="af1-mmr-13-03-2627" ref-type="aff">1</xref><xref ref-type="corresp" rid="c2-mmr-13-03-2627"/></contrib>
<contrib contrib-type="author">
<name><surname>LIN</surname><given-names>HONG</given-names></name><xref rid="af3-mmr-13-03-2627" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>ZHANG</surname><given-names>LIQING</given-names></name><xref rid="af4-mmr-13-03-2627" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>WU</surname><given-names>LINGJIAN</given-names></name><xref rid="af5-mmr-13-03-2627" ref-type="aff">5</xref></contrib></contrib-group>
<aff id="af1-mmr-13-03-2627">
<label>1</label>Function Experiment Teaching Center, Wenzhou Medical University, Wenzhou, Zhejiang 325305, P.R. China</aff>
<aff id="af2-mmr-13-03-2627">
<label>2</label>Clinical Examination Center, The Affiliated Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China</aff>
<aff id="af3-mmr-13-03-2627">
<label>3</label>Zhejiang Provincial Key Laboratory of Medical Genetics, Wenzhou Medical University, Wenzhou, Zhejiang 325035, P.R. China</aff>
<aff id="af4-mmr-13-03-2627">
<label>4</label>Operating Room, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China</aff>
<aff id="af5-mmr-13-03-2627">
<label>5</label>Department of Dermatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China</aff>
<author-notes>
<corresp id="c1-mmr-13-03-2627">Correspondence to: Professor Meiqin Zheng, Clinical Examination Center, The Affiliated Eye Hospital, Wenzhou Medical University, 268 Xueyuanxi Road, Wenzhou, Zhejiang 325000, P.R. China, E-mail: <email>35176404@qq.com</email></corresp>
<corresp id="c2-mmr-13-03-2627">Professor Qing Wang, Function Experiment Teaching Center, Wenzhou Medical University, 268 Xueyuanxi Road, Wenzhou, Zhejiang 325305, P.R. China, E-mail: <email>33508598@qq.com</email></corresp><fn id="fn1-mmr-13-03-2627">
<label>&#x0002A;</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="ppub">
<month>03</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>28</day>
<month>01</month>
<year>2016</year></pub-date>
<volume>13</volume>
<issue>3</issue>
<fpage>2627</fpage>
<lpage>2634</lpage>
<history>
<date date-type="received">
<day>21</day>
<month>04</month>
<year>2015</year></date>
<date date-type="accepted">
<day>08</day>
<month>12</month>
<year>2015</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016, Spandidos Publications</copyright-statement>
<copyright-year>2016</copyright-year></permissions>
<abstract>
<p>Skin ulcers are a common complication of diabetes mellitus (DM). Fibroblasts are located within the dermis of skin tissue and can be damaged by diabetes. However, the underlying mechanism of how DM affects fibroblasts remains elusive. To understand the effects of DM on fibroblasts, the current study mimicked DM by high-glucose (HG) supplementation in the culture medium of human foreskin primary fibroblast cells, and the analysis of transcriptomic changes was conducted. RNA sequencing-based transcriptome analysis identified that, upon HG stress, 463 genes were upregulated and 351 genes downregulated (&gt;1.5-fold changes; P&lt;0.05). These altered genes were distributed into 20 different pathways. In addition, gene ontology (GO) analysis indicated that 31 GO terms were enriched. Among the pathways identified, nuclear factor &#x003BA;B (NF-&#x003BA;B) pathway genes were highly expressed, and the addition of Bay11-7082, a typical NF-&#x003BA;B signaling inhibitor, blocked the previously observed alterations in plasminogen activator inhibitor 1 (PAI1), an inflammation marker and frizzled class receptor 8 (FZD8), a Wnt signaling gene, expression that resulted from HG stress. Furthermore, an inhibitor of Wnt signaling diminished the role of Bay11-7082 in the regulation of PAI1 expression under HG conditions, suggesting that Wnt signaling may function downstream of the NF-&#x003BA;B pathway to protect fibroblast cells from HG stress. To the best of our knowledge, the current study is the first analysis of transcriptomic responses under HG stress in human fibroblasts. The data provided here may aid the understanding of the molecular mechanisms by which fibroblast cells are damaged in the skin of patients with DM.</p></abstract>
<kwd-group>
<kwd>RNA-Seq</kwd>
<kwd>skin</kwd>
<kwd>high-glucose</kwd>
<kwd>fibroblasts</kwd>
<kwd>damage</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Diabetes mellitus (DM) is the most severe metabolic disease in the developed world, affecting a large number of people. A major symptom of DM is hyperglycemia, which leads to severe complications (<xref rid="b1-mmr-13-03-2627" ref-type="bibr">1</xref>). Among patients with DM, ~15% exhibit impaired skin wound healing (<xref rid="b2-mmr-13-03-2627" ref-type="bibr">2</xref>), and high blood sugar is linked to skin ulceration by altering angiogenesis (<xref rid="b3-mmr-13-03-2627" ref-type="bibr">3</xref>), but the underlying mechanism remains unclear.</p>
<p>Skin wound repair requires the coordination of several cell types, including keratinocytes, fibroblasts, endothelial cells, macrophages and platelets. Fibroblast cell proliferation and migration, collagen deposition and remodeling, wound contraction and angiogenesis are important steps during wound repair (<xref rid="b4-mmr-13-03-2627" ref-type="bibr">4</xref>,<xref rid="b5-mmr-13-03-2627" ref-type="bibr">5</xref>). Extracellular matrix (ECM) forms the largest component of the dermal skin layer, therefore, the repair of damaged ECM is a key step for wound healing (<xref rid="b6-mmr-13-03-2627" ref-type="bibr">6</xref>). Fibroblasts constitute one of the important cell layers that participate in the production and remodeling the ECM and fibroblast proliferation and migration are important for the formation of granulation tissue and further skin repair (<xref rid="b7-mmr-13-03-2627" ref-type="bibr">7</xref>,<xref rid="b8-mmr-13-03-2627" ref-type="bibr">8</xref>). The impaired wound healing during DM is attributed to altered protein and lipid metabolism and the associated abnormal formation of granulation tissue (<xref rid="b9-mmr-13-03-2627" ref-type="bibr">9</xref>). Higher glucose levels in the blood result in abnormal attachment of aldose sugars to a protein or lipid, which affects normal glycosylation modifications (<xref rid="b9-mmr-13-03-2627" ref-type="bibr">9</xref>). The aberrantly glycosylated products &#x0005B;advanced glycation end products (AGEs)&#x0005D; then accumulate in cells. AGEs attached to ECM proteins may lead to a reduction in their turnover rate (<xref rid="b9-mmr-13-03-2627" ref-type="bibr">9</xref>). Nitric oxide (NO) is an important mediator of cell proliferation, maturation and differentiation and serves a key role in wound healing (<xref rid="b10-mmr-13-03-2627" ref-type="bibr">10</xref>). Fibroblasts isolated from diabetic ulcers are usually large and widely spread during <italic>in vitro</italic> culture compared with normal fibroblasts in age-matched controls. They often exhibit abnormal endoplasmic reticulum, increased numbers of vesicular bodies and lost microtubular structure. Therefore, DM affects protein turnover, autonomous trafficking and normal protein secretion in diabetic ulcer fibroblasts (<xref rid="b11-mmr-13-03-2627" ref-type="bibr">11</xref>,<xref rid="b12-mmr-13-03-2627" ref-type="bibr">12</xref>). Fibroblasts from diabetic ulcers have defects in cell proliferation, which may result in decreased ECM protein production and further delayed wound healing (<xref rid="b13-mmr-13-03-2627" ref-type="bibr">13</xref>). High glucose-induced fibroblast migration was previously identified to be a result of reduced JNK activity (<xref rid="b14-mmr-13-03-2627" ref-type="bibr">14</xref>). However, few molecular studies have investigating the underlying mechanisms of DM-mediated fibroblast cell damage.</p>
<p>In the present study, RNA sequencing (RNA-Seq) was used to analyze the alterations of large numbers of transcripts following HG stimulation of human fibroblast cells, and the genes and pathways associated with HG stress were identified. Additionally, the inflammatory response pathway and Wnt signaling were further analyzed for their role in the protection of fibroblasts from HG damage. The results of current study may be important for understanding the mechanisms of DM-mediated skin ulceration and may provide a theoretical basis for repair of skin damage in patients with DM in the future.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Human foreskin fibroblast cell culture</title>
<p>Human fibroblast cells were isolated and subsequently cultured for analysis of the effects of HG treatment. All the procedures followed for purification and culture of human fibroblasts were described by Xuan <italic>et al</italic> (<xref rid="b14-mmr-13-03-2627" ref-type="bibr">14</xref>). Human foreskin samples were collected from 3 patients in Department of Dermatology, the First Affiliated Hospital, Wenzhou Medical University (Wenzhou, China). This study was approved by the ethics committee of Wenzhou Medical University (Wenzhou, China) and written informed consent was obtained from all the patients involved. The fat was removed from the tissue and was cut into 3 by 2 mm strips and were incubated overnight at 4&#x000B0;C in 0.05% Dispase I (Sigma-Aldrich, St. Louis, MO, USA). The epidermis was removed and the dermis was placed in 25-cm<sup>2</sup> flasks pre-treated with FBS, and placed horizontally for 1 h and then vertically for 3 h in a culture chamber with 5% CO<sub>2</sub> at 37&#x000B0;C. The cells were cultured in Dulbecco's modified Eagle's medium (DMEM; HyClone; GE Healthcare Life Sciences, Logan, UT, USA) containing 5.5 mM glucose with 10% fetal bovine serum (FBS; HyClone; GE Healthcare Life Sciences) and 1% penicillin-streptomycin (Gibco; Thermo Fisher Scientific Inc., Watham, MA, USA) the medium was changed every 3 days. When cell confluence reached 70&#x02013;80% the cells were digested and passaged with 0.25% trypsin (Gibco; Thermo Fisher Scientific Inc.) Cells were cultured for 3 days in 5.5 mM glucose medium and transferred to the media containing either 5.5 mM glucose (LG) or 30 mM glucose (HG). Cells at passage 3&#x02013;6 were used for the LG and HG treatment. Cells were harvested after 1 h of LG and HG treatment.</p></sec>
<sec>
<title>Cell proliferation assay</title>
<p>Cell proliferation was assayed using a Cell Counting Kit-8 (CCK-8) kit (Dojindo Molecular Technologies, Inc., Kumamoto, Japan). The fibroblast cell culture and measurement of cell densities under different treatments were followed as previously described (<xref rid="b14-mmr-13-03-2627" ref-type="bibr">14</xref>). In summary, 50 ml of the cell resuspension solution (1&#x000D7;10<sup>3</sup> cells/well) were transferred into 96-well plates following digestion with trypsin, and five parallel wells were used for each treatment. Subsequent to attachment to the culture plate, the cells were subjected to the different glucose treatments for 72 h in a 5% CO<sub>2</sub> incubator at 37&#x000B0;C. Then, 5 ml of CCK-8 was added to each well, and the cells were cultured for another 3 h. Cell density was determined by quantifying the absorbance at 450 nm using a Varioskan Flash Multimode Reader (Thermo Fisher Scientific, Inc.) using the following formula: Cell dens ity=(A<sub>cell+CCK8+medium</sub>-A<sub>CCK8+medium</sub>/A<sub>cell+CCK8</sub>-A<sub>CCK8+medium</sub>) &#x000D7; 100.</p></sec>
<sec>
<title>RNA deep sequencing</title>
<p>Total RNA was extracted from human foreskin fibroblasts for RNA-Seq experiments following treatment with a low (5.5 mM) or high (30 mM) concentration of glucose. RNA-Seq experiments and data analysis were performed by the NovelBio Bio-Pharm Technology Co., Ltd. (Shanghai, China). The RNA-Seq data is available upon request.</p></sec>
<sec>
<title>Analysis of the pathway and gene ontology (GO) category</title>
<p>Differentially expressed genes were identified by analyzing for association with biological process gene ontology (GO) terms (<xref rid="b15-mmr-13-03-2627" ref-type="bibr">15</xref>). Fisher's exact test was used to classify the GO category, and the false discovery rate (FDR) was calculated to correct the P-value (<xref rid="b16-mmr-13-03-2627" ref-type="bibr">16</xref>). Enrichment of GO members among differentially expressed gene sets was identified using the one-tailed Fisher's exact test for 2&#x000D7;2 contingency tables (<xref rid="b17-mmr-13-03-2627" ref-type="bibr">17</xref>), which measures the significance of the function that as the enrichment increases, the corresponding function is more specific, which aids the identification of GOs with a more concrete function description in the experiment. Pathway analysis was used to determine the significant pathways of the differential genes according to Kyoto Encyclopedia of Genes and Genomes (KEGG) (<xref rid="b18-mmr-13-03-2627" ref-type="bibr">18</xref>), BioCarta (<ext-link xlink:href="http://cgap.nci.nih.gov/Pathways/BioCarta_Pathways" ext-link-type="uri">http://cgap.nci.nih.gov/Pathways/BioCarta_Pathways</ext-link> and Reactome (<xref rid="b19-mmr-13-03-2627" ref-type="bibr">19</xref>). Fisher's exact test was followed by Benjamini-Hochberg multiple testing correction to select the significant pathway and the threshold of significance was defined by P-value and FDR (<xref rid="b20-mmr-13-03-2627" ref-type="bibr">20</xref>).</p></sec>
<sec>
<title>Total RNA extraction, cDNA synthesis and reverse transcription-quantitative polymerase chain reaction (RT-qPCR)</title>
<p>Total RNA was extracted from stimulated or unstimulated fibroblasts treated with high-concentration glucose (30 mM), Bay11-7082 (0.5 <italic>&#x003BC;</italic>M; Sigma-Aldrich) or inhibitor of Wnt response (IWR) (0.5 <italic>&#x003BC;</italic>M; Sigma-Aldrich). The cell monolayer was rinsed with ice-cold phosphate-buffered saline once. Each sample was treated with RQ1-DNAse (Promega Corporation, Madison, WI, USA). The cells were then lysed directly in a culture dish by adding 1 ml TRIzol (Thermo Fisher Scientific, Inc.) per each 3.5 cm diameter dish, scraped with a cell scraper and then 0.2 ml chloroform was added per 1 ml TRIzol. RNA (2 <italic>&#x003BC;</italic>g) was reverse transcribed at 42&#x000B0;C for 60 min, 70&#x000B0;C for 5 min and following stop the reaction at 8&#x000B0;C using a GoScript Reverse Transcription System (Promega Corporation) following the manufacturer's protocol. A SYBR Green Master Mix (Bio-Rad Laboratories, Inc., Hercules, CA, USA) was used to perform the qPCR on an Illumina Eco 3.0 (Illumina, Inc., San Diego, CA, USA). A typical reaction consisted of an initial denaturation at 95&#x000B0;C for 3 min, followed by 40 cycles of denaturation for 30 sec at 95&#x000B0;C, annealing for 30 sec at 58&#x000B0;C, and extension at 72&#x000B0;C for 30 sec, followed by a final extension at 72&#x000B0;C for 5 min. The transcription levels were normalized against those of GAPDH using the 2<sup>&#x02212;&#x00394;&#x00394;Cq</sup> method (<xref rid="b21-mmr-13-03-2627" ref-type="bibr">21</xref>). The gene-specific primer sequences used for RT-qPCR are described in <xref rid="tI-mmr-13-03-2627" ref-type="table">Table I</xref>. Each experiment was repeated at least 3 times. A unreversed transcribed RNA was used as a PCR template control.</p></sec>
<sec>
<title>Western blot analysis</title>
<p>For extraction of total protein, the cells were lysed in an ice-cold lysis solution containing 7 M urea, 2 Mthiourea, 2% CHAPS detergent, 40 mM Trizma base, 40 mM dithiothreitol, 1% protease inhibitor, the lysates were centrifuged for 15 min at 15,000 &#x000D7; g. All reagents were sourced from Sigma-Aldrich. The supernatant from each tube was moved to a new tube. The total proteins were separated on a 10% sodium dodecyl sulfate polyacrylamide gel electrophoresis gel (Sigma-Aldrich) at 100 V for 2 h following extraction. Then transferred onto Immobilon-P Transfer Membranes (Merck Millipore, Tokyo, Japan). The membranes were incubated in Tris-buffered saline containing 5% skimmed milk and 0.05% Tween-20 (EMD Milipore, Billerica, MA, USA) for 1&#x02013;2 h and reacted with the corresponding primary antibodies at 4&#x000B0;C overnight. The following primary antibodies were purchased from Abcam, all at dilution of 1:2,000 (Cambridge, MA, USA): p-IKB&#x003B1; (mouse monoclonal; cat no. 39A1431, reactivity - mouse, rat, cow, human), IKB&#x003B1; (rabbit polyclonal; cat no. ab7217; reactivity - mouse, rat, human) and GAPDH (mouse monoclonal; cat no. mAbcam 9484; reactivity - mouse, rat, rabbit, chicken, cow, dog, human, pig). The membranes were incubated for 1 h with an anti-mouse or polyclonal anti-rabbit horseradish peroxidase-linked secondary antibody (cat. no. 7074; 1:2,000; Cell Signaling Technology, Inc., Danvers, MA, USA).</p></sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical calculations were performed with Prism 5 software package (GraphPad Software, Inc., La Jolla, CA, USA). Significant differences are expressed as the mean &#x000B1; standard error. The comparison between two groups was analyzed by t-test. P&lt;0.05 was considered to indicate a statistically significant difference.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>HG induces apoptosis and inflammatory responses in fibroblasts</title>
<p>To simulate diabetes, HG was utilized to study its effects on the fibroblasts (<xref rid="b22-mmr-13-03-2627" ref-type="bibr">22</xref>). To analyze the effects of different concentrations of HG on fibroblasts, cell proliferation was monitored in different concentrations of glucose-containing media with 10% fetal bovine serum. HG treatment up to 30 mM did not markedly alter cell proliferation, whilst culture in 50 and 70 mM glucose significantly inhibited cell proliferation compared with culture in low-glucose (LG; 5.5 mM; P&lt;0.01; <xref rid="f1-mmr-13-03-2627" ref-type="fig">Fig. 1A</xref>). However, this concentration of glucose is much higher than the levels recorded in patients' blood; therefore, 20 and 30 mM were used to further analyze gene expressions. Compared to 30 mM, 20 mM of glucose did not significantly affect the expression levels of caspase 3 and PAI1 (data not shown). Therefore, 30 Mm of glucose was selected for transcriptome analysis. As presented in <xref rid="f1-mmr-13-03-2627" ref-type="fig">Fig. 1A</xref>, 30 mM glucose treatment did not affect cell proliferation activity, thus, the expression levels of two apoptosis and inflammation marker genes, caspase 3 and plasminogen activator inhibitor 1 (PAI1), were further monitored at this concentration. RT-qPCR results indicated that the application of 30 mM glucose led to an increase in the expression levels of caspase 3 and PAI1 following 3-h treatment, which reached a peak at 6 h (<xref rid="f1-mmr-13-03-2627" ref-type="fig">Fig. 1B</xref>). These data indicate that HG culture damages fibroblast cells.</p></sec>
<sec>
<title>Identification of HG-regulating transcriptome in fibroblasts</title>
<p>To identify HG-regulated genes and pathways, RNA-Seq experiments were performed using human fibroblast cells cultured in LG (5.5 mM) and HG (30 mM). Since Caspase 3 and PAI1 expression levels were highest at 6 h subsequent to HG stress, the fibroblast cells stimulated for 6 h with LG and HG were collected for RNA-Seq analysis. The RNA-Seq results demonstrated that 814 genes were differentially expressed (&gt;1.5-fold change; P&lt;0.05) in the HG-treated fibroblasts compared with LG-treated cells. Among them, 351 genes were downregulated, and 463 genes were upregulated (<xref rid="f2-mmr-13-03-2627" ref-type="fig">Fig. 2A</xref>), determined from statistical outcomes by analysis for association with biological process GO terms. To verify the RNA-Seq data, HG-mediated expression levels of the following four genes were assessed by RT-qPCR: Interleukin 8 (IL8), chemokine (C-C motif) ligand 13 (CCL13), frizzled class receptor 8 (FZD8) and early growth receptor 2 (EGR2). The inflammatory response genes (IL8 and CCL13) were upregulated, while the Wnt signaling gene (FZD8) and putative SUMO E3 ligase (EGR2) were repressed by HG stimulation, and the RT-qPCR results were similar to RNA-Seq data (<xref rid="f2-mmr-13-03-2627" ref-type="fig">Fig. 2B</xref>). GO analysis indicated that 31 GO terms were enriched (P&lt;0.01; <xref rid="tII-mmr-13-03-2627" ref-type="table">Table II</xref>). These genes were associated with multiple biological processes, including cellular triglyceride homeostasis, positive regulation of cholesterol efflux, the canonical Wnt signaling pathway and transcription (<xref rid="tII-mmr-13-03-2627" ref-type="table">Table II</xref>). Further pathway analysis was performed with 814 genes that were altered by HG stress. The results demonstrated that these genes were divided into 20 different pathways, including NF-&#x003BA;B, tumor necrosis factor (TNF), Wnt, ECM/receptor interaction and hedgehog signaling pathways. Among them, certain inflammatory response pathways involving NF-&#x003BA;B and TNF were upregulated by HG stress, while Wnt signaling genes were downregulated (<xref rid="tIII-mmr-13-03-2627" ref-type="table">Table III</xref>). Together, these data indicate that HG regulates a large number of genes involved in various biological processes.</p></sec>
<sec>
<title>Regulatory role of the inflammatory response in HG-mediated fibroblast cell damage</title>
<p>The NF-&#x003BA;B pathway was identified to be involved in HG-regulated biological processes, the effect of the inflammatory response in HG-mediated fibroblast cell damage was further examined. To further evaluate the effects of HG on NF-&#x003BA;B signaling, the activity of I&#x003BA;B&#x003B1;, the most characterized and studied NF-&#x003BA;B regulator, was examined. I&#x003BA;B&#x003B1; is phosphorylated by I&#x003BA;B kinases (IKK), resulting in the translocation of NF-&#x003BA;B to the nucleus and transcription of target genes (<xref rid="b23-mmr-13-03-2627" ref-type="bibr">23</xref>). Western blot analysis indicated that HG induced I&#x003BA;B&#x003B1; phosphorylation (p-I&#x003BA;B&#x003B1;), but did not change total I&#x003BA;B&#x003B1; (t-I&#x003BA;B&#x003B1;) levels (<xref rid="f3-mmr-13-03-2627" ref-type="fig">Fig. 3A</xref>). To further analyze the effect of the inflammatory response on HG-mediated gene expression, a combination of HG stress and Bay11-7082 (0.5 <italic>&#x003BC;</italic>M), a representative NF-&#x003BA;B pathway inhibitor, was used to treat fibroblasts. RNA was extracted and RT-qPCR was performed to monitor PAI1 gene expression. The results indicated that HG induced an increase in PAI1 mRNA levels at 3 (P&lt;0.05), 6 and 12 h (P&lt;0.01) compared with the levels observed at 0 h, and this induction was blocked by inhibiting NF-&#x003BA;B with Bay11-7082 (<xref rid="f3-mmr-13-03-2627" ref-type="fig">Fig. 3B</xref>). Taken together, these results suggest that the inflammatory response is inversely correlated with HG-regulated gene expression.</p></sec>
<sec>
<title>Wnt signaling is downstream of the NF-&#x003BA;B pathway</title>
<p>Wnt signaling is known to regulate diverse aspects of numerous biological processes (<xref rid="b24-mmr-13-03-2627" ref-type="bibr">24</xref>). The RNA-Seq data from the present study demonstrated repressed expression of a number of Wnt signaling genes following HG stimulation in fibroblasts. NF-&#x003BA;B pathway inhibition partially rescued HG-mediated fibroblast damage. Therefore, the relationship between NF-&#x003BA;B and Wnt signaling were investigated further. In the fibroblast cells stimulated with Bay11-7082 (0.5 <italic>&#x003BC;</italic>M) and HG, expression levels of the Wnt signaling gene, FZD8, were similar to the levels in the LG cells (P&gt;0.05; <xref rid="f4-mmr-13-03-2627" ref-type="fig">Fig. 4A</xref>). To further evaluate the role of Wnt signaling in HG-mediated gene expression, IWR, a typical Wnt signaling inhibitor, was also used to treated fibroblasts alongside Bay11-7082 and HG culture, then PAI1 gene expression was measured. Notably, IWR application reduced the effect of Bay11-7082 on HG-induced PAI1 expression levels (<xref rid="f4-mmr-13-03-2627" ref-type="fig">Fig. 4B</xref>). Together, these data demonstrate that NF-&#x003BA;B inhibition blocked the gene expression changes induced by HG. Additionally, Wnt signaling inhibition reversed Bay11-7082-mediated PAI1 repression under HG conditions.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Fibroblasts are important for synthesizing ECM and collagen, the structural framework (stroma) for skin tissues, and serve a key role in wound healing (<xref rid="b25-mmr-13-03-2627" ref-type="bibr">25</xref>). Skin wound healing requires the involvement of several cell types, including keratinocytes, fibroblasts, endothelial cells, macrophages and platelets (<xref rid="b26-mmr-13-03-2627" ref-type="bibr">26</xref>). Therefore, understanding the underlying mechanisms by which fibroblast cells protect themselves from DM is important for the treatment of skin ulcers (<xref rid="b4-mmr-13-03-2627" ref-type="bibr">4</xref>). One of the strategies that all living organisms utilize to adapt to environmental changes is the rapid reprogramming of transcriptional regulations via cell signaling mechanisms (<xref rid="b27-mmr-13-03-2627" ref-type="bibr">27</xref>&#x02013;<xref rid="b29-mmr-13-03-2627" ref-type="bibr">29</xref>). Therefore, analysis of transcriptomic changes under certain stress is a method to clarify the regulation of these mechanisms. In the present study, RNA-Seq was utilized to analyze transcriptomes, providing an efficient experimental basis to extract information regarding gene expression, somatic mutations and novel gene fusions (<xref rid="b30-mmr-13-03-2627" ref-type="bibr">30</xref>) using HG-cultured human primary fibroblast cells. The results demonstrated a large population of differentially expressed genes following HG stimulation. Among them, 351 genes were downregulated and 463 were upregulated. Further, analyses of the associated pathways using GO and KEGG databases revealed various biological processes and pathways (<xref rid="tII-mmr-13-03-2627" ref-type="table">Tables II</xref> and <xref rid="tIII-mmr-13-03-2627" ref-type="table">III</xref>).</p>
<p>ECM synthesis is important for skin wound repair. Various genes involved in ECM/receptor interactions were identified as undergoing changes in expression levels following HG stress (data available upon request). Other pathways identified to be altered by HG include NF-&#x003BA;B, TNF, Wnt, Hedgehog and Hippo signaling. The Wnt signaling pathway and fibroblast growth factor (FGF) regulate T-box family transcription factors, control cell fate within the zebrafish tailbud and are involved in axis elongation (<xref rid="b31-mmr-13-03-2627" ref-type="bibr">31</xref>); FGF positively regulates Hedgehog signaling during embryonic tracheal cell migration (<xref rid="b32-mmr-13-03-2627" ref-type="bibr">32</xref>); Hippo signaling and EGFR pathways control growth and activate tumorigenesis when dysregulated. Epidermal growth factor receptor (EGFR) activates Yorkie, a key Hippo pathway transcription factor that has been indicated to influence cell proliferation in Drosophila (<xref rid="b33-mmr-13-03-2627" ref-type="bibr">33</xref>); and bFGF previously inhibited TNF-mediated activation of NF-&#x003BA;B by blocking phosphorylation and degradation of I&#x003BA;B&#x003B1;, leading to the repression of leukocyte adhesion in tumor vessels (<xref rid="b34-mmr-13-03-2627" ref-type="bibr">34</xref>). HG has been demonstrated to affect FGF and downstream JNK activity, resulting in delay to human fibroblast cell migration (<xref rid="b14-mmr-13-03-2627" ref-type="bibr">14</xref>). Therefore, those pathways that are regulated by HG may be partially connected to FGF signaling, which is known to accelerate DM-induced skin wound repair. Further biochemical and molecular studies are required to specify how these pathways are connected.</p>
<p>In the current study, inhibition of the NF-&#x003BA;B pathway through treatment with Bay11-7082 repressed the HG-induced PAI1 levels, suggesting that HG stimulation may activate inflammatory response pathways and cause damage to cells. Notably, Bay11-7082 application reversed the repression of FZD8 expression levels resulting from HG stress.</p>
<p>In addition, treatment with the Wnt signaling inhibitor, IWR, together with Bay11-7082 diminished the effects of Bay11-7082 on PAI1 repression under HG conditions, indicating that Wnt signaling functions downstream of the NF-&#x003BA;B pathway to regulate HG-mediated gene expression. HG stress negatively and positively regulated the NF-&#x003BA;B and Wnt signaling pathways, respectively, and this suggests that Wnt activation is important for the protection of fibroblasts from DM. The present study demonstrated HG-regulated gene expression in fibroblasts, and a link between the NF-&#x003BA;B pathway and Wnt signaling. In the future, these findings may be notable for the treatment of DM-induced skin ulcers.</p></sec></body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The present study was made possible by an initiative grant from Wenzhou Medical University (Wenzhou, China).</p></ack>
<ref-list>
<title>References</title>
<ref id="b1-mmr-13-03-2627"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brownlee</surname><given-names>M</given-names></name></person-group><article-title>Biochemistry and molecular cell biology of diabetic complications</article-title><source>Nature</source><volume>414</volume><fpage>813</fpage><lpage>820</lpage><year>2001</year><pub-id pub-id-type="doi">10.1038/414813a</pub-id><pub-id pub-id-type="pmid">11742414</pub-id></element-citation></ref>
<ref id="b2-mmr-13-03-2627"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yach</surname><given-names>D</given-names></name><name><surname>Stuckler</surname><given-names>D</given-names></name><name><surname>Brownell</surname><given-names>KD</given-names></name></person-group><article-title>Epidemiologic and economic consequences of the global epidemics of obesity and diabetes</article-title><source>Nat Med</source><volume>12</volume><fpage>62</fpage><lpage>66</lpage><year>2006</year><pub-id pub-id-type="doi">10.1038/nm0106-62</pub-id><pub-id pub-id-type="pmid">16397571</pub-id></element-citation></ref>
<ref id="b3-mmr-13-03-2627"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Braiman-Wiksman</surname><given-names>L</given-names></name><name><surname>Solomonik</surname><given-names>I</given-names></name><name><surname>Spira</surname><given-names>R</given-names></name><name><surname>Tennenbaum</surname><given-names>T</given-names></name></person-group><article-title>Novel insights into wound healing sequence of events</article-title><source>Toxicol Pathol</source><volume>35</volume><fpage>767</fpage><lpage>779</lpage><year>2007</year><pub-id pub-id-type="doi">10.1080/01926230701584189</pub-id><pub-id pub-id-type="pmid">17943650</pub-id></element-citation></ref>
<ref id="b4-mmr-13-03-2627"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Martin</surname><given-names>P</given-names></name></person-group><article-title>Wound healing - aiming for perfect skin regeneration</article-title><source>Science</source><volume>276</volume><fpage>75</fpage><lpage>81</lpage><year>1997</year><pub-id pub-id-type="doi">10.1126/science.276.5309.75</pub-id><pub-id pub-id-type="pmid">9082989</pub-id></element-citation></ref>
<ref id="b5-mmr-13-03-2627"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gurtner</surname><given-names>GC</given-names></name><name><surname>Werner</surname><given-names>S</given-names></name><name><surname>Barrandon</surname><given-names>Y</given-names></name><name><surname>Longaker</surname><given-names>MT</given-names></name></person-group><article-title>Wound repair and regeneration</article-title><source>Nature</source><volume>453</volume><fpage>314</fpage><lpage>321</lpage><year>2008</year><pub-id pub-id-type="doi">10.1038/nature07039</pub-id><pub-id pub-id-type="pmid">18480812</pub-id></element-citation></ref>
<ref id="b6-mmr-13-03-2627"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brem</surname><given-names>H</given-names></name><name><surname>Tomic-Canic</surname><given-names>M</given-names></name></person-group><article-title>Cellular and molecular basis of wound healing in diabetes</article-title><source>J Clin Invest</source><volume>117</volume><fpage>1219</fpage><lpage>22</lpage><year>2007</year><pub-id pub-id-type="doi">10.1172/JCI32169</pub-id><pub-id pub-id-type="pmid">17476353</pub-id><pub-id pub-id-type="pmcid">1857239</pub-id></element-citation></ref>
<ref id="b7-mmr-13-03-2627"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wagner</surname><given-names>W</given-names></name><name><surname>Wehrmann</surname><given-names>M</given-names></name></person-group><article-title>Differential cytokine activity and morphology during wound healing in the neonatal and adult rat skin</article-title><source>J Cell Mol Med</source><volume>11</volume><fpage>1342</fpage><lpage>1351</lpage><year>2007</year><pub-id pub-id-type="doi">10.1111/j.1582-4934.2007.00037.x</pub-id></element-citation></ref>
<ref id="b8-mmr-13-03-2627"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kanazawa</surname><given-names>S</given-names></name><name><surname>Fujiwara</surname><given-names>T</given-names></name><name><surname>Matsuzaki</surname><given-names>S</given-names></name><name><surname>Shingaki</surname><given-names>K</given-names></name><name><surname>Taniguchi</surname><given-names>M</given-names></name><name><surname>Miyata</surname><given-names>S</given-names></name><name><surname>Tohyama</surname><given-names>M</given-names></name><name><surname>Sakai</surname><given-names>Y</given-names></name><name><surname>Yano</surname><given-names>K</given-names></name><name><surname>Hosokawa</surname><given-names>K</given-names></name><name><surname>Kubo</surname><given-names>T</given-names></name></person-group><article-title>bFGF regulates PI3-kinase-Rac1-JNK pathway and promotes fibroblast migration in wound healing</article-title><source>PLoS One</source><volume>5</volume><fpage>e12228</fpage><year>2010</year><pub-id pub-id-type="doi">10.1371/journal.pone.0012228</pub-id><pub-id pub-id-type="pmid">20808927</pub-id><pub-id pub-id-type="pmcid">2923192</pub-id></element-citation></ref>
<ref id="b9-mmr-13-03-2627"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Goldin</surname><given-names>A</given-names></name><name><surname>Beckman</surname><given-names>JA</given-names></name><name><surname>Schmidt</surname><given-names>AM</given-names></name><name><surname>Creager</surname><given-names>MA</given-names></name></person-group><article-title>Advanced glycation end products: Sparking the development of diabetic vascular injury</article-title><source>Circulation</source><volume>114</volume><fpage>597</fpage><lpage>605</lpage><year>2006</year><pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.106.621854</pub-id><pub-id pub-id-type="pmid">16894049</pub-id></element-citation></ref>
<ref id="b10-mmr-13-03-2627"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Obayashi</surname><given-names>K</given-names></name><name><surname>Akamatsu</surname><given-names>H</given-names></name><name><surname>Okano</surname><given-names>Y</given-names></name><name><surname>Matsunaga</surname><given-names>K</given-names></name><name><surname>Masaki</surname><given-names>H</given-names></name></person-group><article-title>Exogenous nitric oxide enhances the synthesis of type I collagen and heat shock protein 47 by normal human dermal fibroblasts</article-title><source>J Dermatol Sci</source><volume>41</volume><fpage>121</fpage><lpage>126</lpage><year>2006</year><pub-id pub-id-type="doi">10.1016/j.jdermsci.2005.08.004</pub-id></element-citation></ref>
<ref id="b11-mmr-13-03-2627"><label>11</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Loots</surname><given-names>MA</given-names></name><name><surname>Lamme</surname><given-names>EN</given-names></name><name><surname>Mekkes</surname><given-names>JR</given-names></name><name><surname>Bos</surname><given-names>JD</given-names></name><name><surname>Middelkoop</surname><given-names>E</given-names></name></person-group><article-title>Cultured fibroblasts from chronic diabetic wounds on the lower extremity (non-insulin-dependent diabetes mellitus) show disturbed proliferation</article-title><source>Arch Dermatol Res</source><volume>291</volume><fpage>93</fpage><lpage>99</lpage><year>1999</year><pub-id pub-id-type="doi">10.1007/s004030050389</pub-id><pub-id pub-id-type="pmid">10195396</pub-id></element-citation></ref>
<ref id="b12-mmr-13-03-2627"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rowe</surname><given-names>DW</given-names></name><name><surname>Starman</surname><given-names>BJ</given-names></name><name><surname>Fujimoto</surname><given-names>WY</given-names></name><name><surname>Williams</surname><given-names>RH</given-names></name></person-group><article-title>Abnormalities in proliferation and protein synthesis in skin fibroblast cultures from patients with diabetes mellitus</article-title><source>Diabetes</source><volume>26</volume><fpage>284</fpage><lpage>290</lpage><year>1977</year><pub-id pub-id-type="doi">10.2337/diab.26.4.284</pub-id><pub-id pub-id-type="pmid">849809</pub-id></element-citation></ref>
<ref id="b13-mmr-13-03-2627"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bachschmid</surname><given-names>MM</given-names></name><name><surname>Xu</surname><given-names>S</given-names></name><name><surname>Maitland-Toolan</surname><given-names>KA</given-names></name><name><surname>Ho</surname><given-names>YS</given-names></name><name><surname>Cohen</surname><given-names>RA</given-names></name><name><surname>Matsui</surname><given-names>R</given-names></name></person-group><article-title>Attenuated cardiovascular hypertrophy and oxidant generation in response to angiotensin II infusion in glutaredoxin-1 knockout mice</article-title><source>Free Radic Bio Med</source><volume>49</volume><fpage>1221</fpage><lpage>1229</lpage><year>2010</year><pub-id pub-id-type="doi">10.1016/j.freeradbiomed.2010.07.005</pub-id></element-citation></ref>
<ref id="b14-mmr-13-03-2627"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xuan</surname><given-names>YH</given-names></name><name><surname>Huang</surname><given-names>BB</given-names></name><name><surname>Tian</surname><given-names>HS</given-names></name><name><surname>Chi</surname><given-names>LS</given-names></name><name><surname>Duan</surname><given-names>YM</given-names></name><name><surname>Wang</surname><given-names>X</given-names></name><name><surname>Zhu</surname><given-names>ZX</given-names></name><name><surname>Cai</surname><given-names>WH</given-names></name><name><surname>Zhu</surname><given-names>YT</given-names></name><name><surname>Wei</surname><given-names>TM</given-names></name><etal/></person-group><article-title>High-glucose inhibits human fibroblast cell migration in wound healing via repression of bFGF-regulating JNK phosphorylation</article-title><source>PLoS One</source><volume>9</volume><fpage>e108182</fpage><year>2014</year><pub-id pub-id-type="doi">10.1371/journal.pone.0108182</pub-id><pub-id pub-id-type="pmid">25244316</pub-id><pub-id pub-id-type="pmcid">4171528</pub-id></element-citation></ref>
<ref id="b15-mmr-13-03-2627"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><collab>Gene Ontology Consortium</collab></person-group><article-title>The gene ontology (GO) project in 2006</article-title><source>Nucleic Acids Res</source><volume>34</volume><fpage>D322</fpage><lpage>D326</lpage><year>2006</year><pub-id pub-id-type="doi">10.1093/nar/gkj021</pub-id><pub-id pub-id-type="pmcid">1347384</pub-id></element-citation></ref>
<ref id="b16-mmr-13-03-2627"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dupuy</surname><given-names>D</given-names></name><name><surname>Bertin</surname><given-names>N</given-names></name><name><surname>Hidalgo</surname><given-names>CA</given-names></name><name><surname>Venkatesan</surname><given-names>K</given-names></name><name><surname>Tu</surname><given-names>D</given-names></name><name><surname>Lee</surname><given-names>D</given-names></name><name><surname>Rosenberg</surname><given-names>J</given-names></name><name><surname>Svrzikapa</surname><given-names>N</given-names></name><name><surname>Blanc</surname><given-names>A</given-names></name><name><surname>Carnec</surname><given-names>A</given-names></name><etal/></person-group><article-title>Genome-scale analysis of in vivo spatiotemporal promoter activity in Caenorhabditis elegans</article-title><source>Nat Biotechnol</source><volume>25</volume><fpage>663</fpage><lpage>668</lpage><year>2007</year><pub-id pub-id-type="doi">10.1038/nbt1305</pub-id><pub-id pub-id-type="pmid">17486083</pub-id></element-citation></ref>
<ref id="b17-mmr-13-03-2627"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dunnick</surname><given-names>JK</given-names></name><name><surname>Brix</surname><given-names>A</given-names></name><name><surname>Cunny</surname><given-names>H</given-names></name><name><surname>Vallant</surname><given-names>M</given-names></name><name><surname>Shockley</surname><given-names>KR</given-names></name></person-group><article-title>Characterization of polybrominated diphenyl ether toxicity in Wistar Han rats and use of liver microarray data for predicting disease susceptibilities</article-title><source>Toxicol Pathol</source><volume>40</volume><fpage>93</fpage><lpage>106</lpage><year>2012</year><pub-id pub-id-type="doi">10.1177/0192623311429973</pub-id><pub-id pub-id-type="pmid">22267650</pub-id></element-citation></ref>
<ref id="b18-mmr-13-03-2627"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kanehisa</surname><given-names>M</given-names></name><name><surname>Goto</surname><given-names>S</given-names></name></person-group><article-title>KEGG: Kyoto Encyclopedia of Genes and Genomes</article-title><source>Nucleic Acids Res</source><volume>28</volume><fpage>27</fpage><lpage>30</lpage><year>2000</year><pub-id pub-id-type="doi">10.1093/nar/28.1.27</pub-id></element-citation></ref>
<ref id="b19-mmr-13-03-2627"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Matthews</surname><given-names>L</given-names></name><name><surname>Gopinath</surname><given-names>G</given-names></name><name><surname>Gillespie</surname><given-names>M</given-names></name><name><surname>Caudy</surname><given-names>M</given-names></name><name><surname>Croft</surname><given-names>D</given-names></name><name><surname>de Bono</surname><given-names>B</given-names></name><name><surname>Garapati</surname><given-names>P</given-names></name><name><surname>Hemish</surname><given-names>J</given-names></name><name><surname>Hermajakob</surname><given-names>H</given-names></name><name><surname>Jassal</surname><given-names>B</given-names></name><etal/></person-group><article-title>Reactome knowlegdebase of human biological pathways and processes</article-title><source>Nucleic Acids Res</source><volume>37</volume><fpage>619</fpage><lpage>622</lpage><year>2009</year><pub-id pub-id-type="doi">10.1093/nar/gkn863</pub-id></element-citation></ref>
<ref id="b20-mmr-13-03-2627"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Draghici</surname><given-names>S</given-names></name><name><surname>Khatri</surname><given-names>P</given-names></name><name><surname>Tarca</surname><given-names>AL</given-names></name><name><surname>Amin</surname><given-names>K</given-names></name><name><surname>Done</surname><given-names>A</given-names></name><name><surname>Voichita</surname><given-names>C</given-names></name><name><surname>Georgescu</surname><given-names>C</given-names></name><name><surname>Romero</surname><given-names>R</given-names></name></person-group><article-title>A systems biology approach for pathway level analysis</article-title><source>Genome Res</source><volume>17</volume><fpage>1537</fpage><lpage>1545</lpage><year>2007</year><pub-id pub-id-type="doi">10.1101/gr.6202607</pub-id><pub-id pub-id-type="pmid">17785539</pub-id><pub-id pub-id-type="pmcid">1987343</pub-id></element-citation></ref>
<ref id="b21-mmr-13-03-2627"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Livak</surname><given-names>KJ</given-names></name><name><surname>Schmittgen</surname><given-names>TD</given-names></name></person-group><article-title>Analysis of relative gene expression data using real-time quantitative PCR and the 2(&#x02212;Delta Delta C(T)) method</article-title><source>Methods</source><volume>25</volume><fpage>402</fpage><lpage>408</lpage><year>2001</year><pub-id pub-id-type="doi">10.1006/meth.2001.1262</pub-id></element-citation></ref>
<ref id="b22-mmr-13-03-2627"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lamers</surname><given-names>ML</given-names></name><name><surname>Almeida</surname><given-names>ME</given-names></name><name><surname>Vicente-Manzanares</surname><given-names>M</given-names></name><name><surname>Horwitz</surname><given-names>AF</given-names></name><name><surname>Santos</surname><given-names>MF</given-names></name></person-group><article-title>High glucose-mediated oxidative stress impairs cell migration</article-title><source>PLoS One</source><volume>6</volume><fpage>e22865</fpage><year>2011</year><pub-id pub-id-type="doi">10.1371/journal.pone.0022865</pub-id><pub-id pub-id-type="pmid">21826213</pub-id><pub-id pub-id-type="pmcid">3149607</pub-id></element-citation></ref>
<ref id="b23-mmr-13-03-2627"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Baeuerle</surname><given-names>PA</given-names></name></person-group><article-title>IkappaB-NF-kappaB structures: At the interface of inflammation control</article-title><source>Cell</source><volume>95</volume><fpage>729</fpage><lpage>731</lpage><year>1998</year><pub-id pub-id-type="doi">10.1016/S0092-8674(00)81694-3</pub-id><pub-id pub-id-type="pmid">9865689</pub-id></element-citation></ref>
<ref id="b24-mmr-13-03-2627"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Malinauskas</surname><given-names>T</given-names></name><name><surname>Jones</surname><given-names>EY</given-names></name></person-group><article-title>Extracellular modulators of Wnt signalling</article-title><source>Curr Opin Struct Biol</source><volume>29</volume><fpage>77</fpage><lpage>84</lpage><year>2014</year><pub-id pub-id-type="doi">10.1016/j.sbi.2014.10.003</pub-id><pub-id pub-id-type="pmid">25460271</pub-id></element-citation></ref>
<ref id="b25-mmr-13-03-2627"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Krafts</surname><given-names>KP</given-names></name></person-group><article-title>Tissue repair: The hidden drama</article-title><source>Organogenesis</source><volume>6</volume><fpage>225</fpage><lpage>233</lpage><year>2010</year><pub-id pub-id-type="doi">10.4161/org.6.4.12555</pub-id></element-citation></ref>
<ref id="b26-mmr-13-03-2627"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hinz</surname><given-names>B</given-names></name></person-group><article-title>Masters and servants of the force: The role of matrix adhesions in myofibroblast force perception and transmission</article-title><source>Eur J Cell Biol</source><volume>85</volume><fpage>175</fpage><lpage>181</lpage><year>2006</year><pub-id pub-id-type="doi">10.1016/j.ejcb.2005.09.004</pub-id><pub-id pub-id-type="pmid">16546559</pub-id></element-citation></ref>
<ref id="b27-mmr-13-03-2627"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Greenhalgh</surname><given-names>DG</given-names></name></person-group><article-title>The role of apoptosis in wound healing</article-title><source>Int J of Biochem Cell Biol</source><volume>30</volume><fpage>1019</fpage><lpage>1030</lpage><year>1998</year><pub-id pub-id-type="doi">10.1016/S1357-2725(98)00058-2</pub-id></element-citation></ref>
<ref id="b28-mmr-13-03-2627"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stashak</surname><given-names>TS</given-names></name><name><surname>Farstvedt</surname><given-names>E</given-names></name><name><surname>Othic</surname><given-names>A</given-names></name></person-group><article-title>Update on wound dressings: Indications and best use</article-title><source>Clin Tech Equine Prac</source><volume>3</volume><fpage>148</fpage><lpage>163</lpage><year>2004</year><pub-id pub-id-type="doi">10.1053/j.ctep.2004.08.006</pub-id></element-citation></ref>
<ref id="b29-mmr-13-03-2627"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Versteeg</surname><given-names>HH</given-names></name><name><surname>Heemskerk</surname><given-names>JW</given-names></name><name><surname>Levi</surname><given-names>M</given-names></name><name><surname>Reitsma</surname><given-names>PH</given-names></name></person-group><article-title>New fundamentals in hemostasis</article-title><source>Physiological Reviews</source><volume>93</volume><fpage>327</fpage><lpage>358</lpage><year>2013</year><pub-id pub-id-type="doi">10.1152/physrev.00016.2011</pub-id><pub-id pub-id-type="pmid">23303912</pub-id></element-citation></ref>
<ref id="b30-mmr-13-03-2627"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Meyerson</surname><given-names>M</given-names></name><name><surname>Gabriel</surname><given-names>S</given-names></name><name><surname>Getz</surname><given-names>G</given-names></name></person-group><article-title>Advances in understanding cancer genomes through second-generation sequencing</article-title><source>Nat Rev Genet</source><volume>11</volume><fpage>685</fpage><lpage>696</lpage><year>2010</year><pub-id pub-id-type="doi">10.1038/nrg2841</pub-id><pub-id pub-id-type="pmid">20847746</pub-id></element-citation></ref>
<ref id="b31-mmr-13-03-2627"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stulberg</surname><given-names>MJ</given-names></name><name><surname>Lin</surname><given-names>A</given-names></name><name><surname>Zhao</surname><given-names>H</given-names></name><name><surname>Holley</surname><given-names>SA</given-names></name></person-group><article-title>Crosstalk between Fgf and Wnt signaling in the zebrafish tailbud</article-title><source>Dev Biol</source><volume>369</volume><fpage>298</fpage><lpage>307</lpage><year>2012</year><pub-id pub-id-type="doi">10.1016/j.ydbio.2012.07.003</pub-id><pub-id pub-id-type="pmid">22796649</pub-id><pub-id pub-id-type="pmcid">3423502</pub-id></element-citation></ref>
<ref id="b32-mmr-13-03-2627"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>But&#x000ED;</surname><given-names>E</given-names></name><name><surname>Mesquita</surname><given-names>D</given-names></name><name><surname>Ara&#x000FA;jo</surname><given-names>SJ</given-names></name></person-group><article-title>Hedgehog is a positive regulator of FGF signalling during embryonic tracheal cell migration</article-title><source>PLoS One</source><volume>9</volume><fpage>e92682</fpage><year>2014</year><pub-id pub-id-type="doi">10.1371/journal.pone.0092682</pub-id><pub-id pub-id-type="pmid">24651658</pub-id><pub-id pub-id-type="pmcid">3961400</pub-id></element-citation></ref>
<ref id="b33-mmr-13-03-2627"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Reddy</surname><given-names>BV</given-names></name><name><surname>Irvine</surname><given-names>KD</given-names></name></person-group><article-title>Regulation of Hippo signaling by EGFR-MAPK signaling through Ajuba family proteins</article-title><source>Dev Cell</source><volume>24</volume><fpage>459</fpage><lpage>471</lpage><year>2013</year><pub-id pub-id-type="doi">10.1016/j.devcel.2013.01.020</pub-id><pub-id pub-id-type="pmid">23484853</pub-id><pub-id pub-id-type="pmcid">3624988</pub-id></element-citation></ref>
<ref id="b34-mmr-13-03-2627"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Flati</surname><given-names>V</given-names></name><name><surname>Pastore</surname><given-names>LI</given-names></name><name><surname>Griffioen</surname><given-names>AW</given-names></name><name><surname>Satijn</surname><given-names>S</given-names></name><name><surname>Toniato</surname><given-names>E</given-names></name><name><surname>D'Alimonte</surname><given-names>I</given-names></name><name><surname>Laglia</surname><given-names>E</given-names></name><name><surname>Marchetti</surname><given-names>P</given-names></name><name><surname>Gulino</surname><given-names>A</given-names></name><name><surname>Martinotti</surname><given-names>S</given-names></name></person-group><article-title>Endothelial cell anergy is mediated by bFGF through the sustained activation of p38-MAPK and NF-kappaB inhibition</article-title><source>Int J Immunopathol Pharmacol</source><volume>19</volume><fpage>761</fpage><lpage>773</lpage><year>2006</year><pub-id pub-id-type="pmid">17166398</pub-id></element-citation></ref></ref-list></back>
<floats-group>
<fig id="f1-mmr-13-03-2627" position="float">
<label>Figure 1</label>
<caption>
<p>High-Glc effects on fibroblast cells. (A) Cell proliferation under the high-Glc conditions with 10% fetal bovine serum was measured by cell counting kit-8 assay after a 72-h incubation (<sup>&#x0002A;</sup>P&lt;0.01 vs. the 5.5 mM Glc group; t-test). (B) Reverse transcription-quantitative polymerase chain reaction was performed to monitor the expression levels of caspase 3 and PAI1 following high-dose Glc (30 mM) treatment. GAPDH was used as an internal control. Data represent the mean &#x000B1; standard error of 3 replicates. <sup>&#x0002A;</sup>P&lt;0.05 and <sup>&#x0002A;&#x0002A;</sup>P&lt;0.01 vs. the 0 h group; t-test. Glc, glucose; OD, optical density; PAI1, plasminogen activator inhibitor 1.</p></caption>
<graphic xlink:href="MMR-13-03-2627-g00.jpg"/></fig>
<fig id="f2-mmr-13-03-2627" position="float">
<label>Figure 2</label>
<caption>
<p>High Glc regulated transcriptome profile. (A) Heat map represents the differentially expressed genes following high Glc (30 mM) treatment for 6 h in human fibroblast cells. Low Glc treatment was 5.5 mM. Gene expression is presented as a pseudocolor scale with red denoting higher gene expression levels and green denoting lower levels. Significant differences between low and high glucose treated groups were compared (P&lt;0.05). (B) RT-qPCR was performed to verify the expression levels of IL8, CCL13, FZD8 and EGR2 and the data was compared with RNA-Seq results. Significant differences of IL8, FZD8, CCL13 and EGR2 expression levels between low and high glucose treated groups in both RNA-Seq and qRT-PCR analyses (<sup>&#x0002A;</sup>P&lt;0.05) GAPDH was used as an internal control. Glc, glucose; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; IL8, interleukin 8; FZD8, frizzled class receptor 8; CCL13, chemokine (C-C motif) ligand 13; EGR2, early growth response 2; RNA-Seq, RNA sequencing.</p></caption>
<graphic xlink:href="MMR-13-03-2627-g01.jpg"/></fig>
<fig id="f3-mmr-13-03-2627" position="float">
<label>Figure 3</label>
<caption>
<p>Role of the NF-&#x003BA;B pathway in high Glc-induced cell damage. (A) Western blot analysis was performed to analyze levels of p-I&#x003BA;B&#x003B1; and t-I&#x003BA;B&#x003B1; following high Glc stress for 1 h. (B) Reverse transcription-quantitative polymerase chain reaction was performed to monitor the expression levels of PAI1 following high Glc or high Glc + Bay (0.5 <italic>&#x003BC;</italic>M) treatment. GAPDH was used as an internal control. Data represent the mean &#x000B1; standard error of 3 replicates. <sup>&#x0002A;</sup>P&lt;0.05 and <sup>&#x0002A;&#x0002A;</sup>P&lt;0.01 vs. 0 h, t-test. NF-&#x003BA;B, nuclear factor &#x003BA;B; I&#x003BA;B&#x003B1;, NF-&#x003BA;B inhibitor &#x003B1;; p, phospho; t, total; Glc, glucose; Bay, Bay11-7082; PAI1, plasminogen activator inhibitor 1.</p></caption>
<graphic xlink:href="MMR-13-03-2627-g02.jpg"/></fig>
<fig id="f4-mmr-13-03-2627" position="float">
<label>Figure 4</label>
<caption>
<p>Effect of Wnt signaling pathway on high Glc-mediated cell damage. (A) RT-qPCR was performed to analyze expression level of Wnt signaling gene FZD8 after high Glc and high Glc + Bay treatment. <sup>&#x0002A;</sup>P&lt;0.05 vs. low Glc; t-test. (B) RT-qPCR analysis for monitoring PAI1 expressions after Bay or Bay + IWR (a typical Wnt signaling inhibitor treatment) at the indicated time points. <sup>&#x0002A;</sup>P&lt;0.05 and <sup>&#x0002A;&#x0002A;</sup>P&lt;0.01 vs. 0 h; t-test. Glc, glucose; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; FZD8, frizzled class receptor 8; Bay, Bay11-7082; PAI1, plasminogen activator inhibitor 1; IWR, inhibitor of Wnt response.</p></caption>
<graphic xlink:href="MMR-13-03-2627-g03.jpg"/></fig>
<table-wrap id="tI-mmr-13-03-2627" position="float">
<label>Table I</label>
<caption>
<p>Reverse transcription-quantitative polymerase chain reaction primer sequences.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Primer</th>
<th valign="top" align="center">Sequence</th></tr></thead>
<tbody>
<tr>
<td rowspan="2" valign="top" align="left">Caspase 3</td>
<td valign="top" align="left">F: TGATGATGACATGGCGTGTC</td></tr>
<tr>
<td valign="top" align="left">R: GTTGCCACCTTTCGGTTAAC</td></tr>
<tr>
<td rowspan="2" valign="top" align="left">PAI1</td>
<td valign="top" align="left">F: GAGACTGAAGTCGACCTCAG</td></tr>
<tr>
<td valign="top" align="left">R: CTGTCCATGATGATCTCCTC</td></tr>
<tr>
<td rowspan="2" valign="top" align="left">GAPDH</td>
<td valign="top" align="left">F: GACCTGCCGTCTAGAAAAAC</td></tr>
<tr>
<td valign="top" align="left">R: CTGTAGCCAAATTCGTTGTC</td></tr>
<tr>
<td rowspan="2" valign="top" align="left">CCL13</td>
<td valign="top" align="left">F: CGTCCCATCTACTTGCTGCT</td></tr>
<tr>
<td valign="top" align="left">R: TCAAGTCTTCAGGGTGTGAGC</td></tr>
<tr>
<td rowspan="2" valign="top" align="left">IL8</td>
<td valign="top" align="left">F: GGTGCAGTTTTGCCAAGGAG</td></tr>
<tr>
<td valign="top" align="left">R: TTCCTTGGGGTCCAGACAGA</td></tr>
<tr>
<td rowspan="2" valign="top" align="left">FZD8</td>
<td valign="top" align="left">F: CTGGTGGAGATCCAGTGCTC</td></tr>
<tr>
<td valign="top" align="left">R: TTGTAGTCCATGCACAGCGT</td></tr>
<tr>
<td rowspan="2" valign="top" align="left">EGR2</td>
<td valign="top" align="left">F: TCGCAAGTACCCCAACAGAC</td></tr>
<tr>
<td valign="top" align="left">R: CTCATCACTCCGGGCAAACT</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-mmr-13-03-2627">
<p>PAI1, plasminogen activator inhibitor 1; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; CCL13, chemokine (C-C motif) ligand 13; IL8, interleukin 8; FZD8, frizzled class receptor 8; EGR2, early growth response 2.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-mmr-13-03-2627" position="float">
<label>Table II</label>
<caption>
<p>GO classification.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">GO ID</th>
<th valign="bottom" align="center">GO term</th>
<th valign="bottom" align="center">Enrichment</th>
<th valign="bottom" align="center">(&#x02212;log2P)</th>
<th valign="bottom" align="center">Up/downregulated</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">0071371</td>
<td valign="top" align="left">Cellular response to gonadotropin stimulus</td>
<td valign="top" align="center">19.12899</td>
<td valign="top" align="center">10.23295</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0034421</td>
<td valign="top" align="left">Post-translational protein acetylation</td>
<td valign="top" align="center">63.76331</td>
<td valign="top" align="center">9.872556</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0071320</td>
<td valign="top" align="left">Cellular response to cAMP</td>
<td valign="top" align="center">9.564497</td>
<td valign="top" align="center">9.733907</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0001508</td>
<td valign="top" align="left">Regulation of action potential</td>
<td valign="top" align="center">15.94083</td>
<td valign="top" align="center">9.562348</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0050890</td>
<td valign="top" align="left">Cognition</td>
<td valign="top" align="center">15.10184</td>
<td valign="top" align="center">9.362226</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0034088</td>
<td valign="top" align="left">Maintenance of mitotic sister chromatid cohesion</td>
<td valign="top" align="center">47.82249</td>
<td valign="top" align="center">9.297728</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0006642</td>
<td valign="top" align="left">Triglyceride mobilization</td>
<td valign="top" align="center">38.25799</td>
<td valign="top" align="center">8.822425</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0035356</td>
<td valign="top" align="left">Cellular triglyceride homeostasis</td>
<td valign="top" align="center">38.25799</td>
<td valign="top" align="center">8.822425</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0071356</td>
<td valign="top" align="left">Cellular response to tumor necrosis factor</td>
<td valign="top" align="center">7.501566</td>
<td valign="top" align="center">8.538068</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0042471</td>
<td valign="top" align="left">Ear morphogenesis</td>
<td valign="top" align="center">31.88166</td>
<td valign="top" align="center">8.417503</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0042158</td>
<td valign="top" align="left">Lipoprotein biosynthetic process</td>
<td valign="top" align="center">31.88166</td>
<td valign="top" align="center">8.417503</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0045444</td>
<td valign="top" align="left">Fat cell differentiation</td>
<td valign="top" align="center">6.596205</td>
<td valign="top" align="center">7.912633</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0048752</td>
<td valign="top" align="left">Semicircular canal morphogenesis</td>
<td valign="top" align="center">23.91124</td>
<td valign="top" align="center">7.753206</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0030728</td>
<td valign="top" align="left">Ovulation</td>
<td valign="top" align="center">23.91124</td>
<td valign="top" align="center">7.753206</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0006955</td>
<td valign="top" align="left">Immune response</td>
<td valign="top" align="center">2.610657</td>
<td valign="top" align="center">7.576953</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0006351</td>
<td valign="top" align="left">Transcription, DNA-templated</td>
<td valign="top" align="center">1.628693</td>
<td valign="top" align="center">7.526714</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0042472</td>
<td valign="top" align="left">Inner ear morphogenesis</td>
<td valign="top" align="center">5.710147</td>
<td valign="top" align="center">7.220235</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0010875</td>
<td valign="top" align="left">Positive regulation of cholesterol efflux</td>
<td valign="top" align="center">17.38999</td>
<td valign="top" align="center">6.989887</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0002237</td>
<td valign="top" align="left">Response to molecule of bacterial origin</td>
<td valign="top" align="center">17.38999</td>
<td valign="top" align="center">6.989887</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">0006334</td>
<td valign="top" align="left">Nucleosome assembly</td>
<td valign="top" align="center">7.598543</td>
<td valign="top" align="center">21.94307</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">0035115</td>
<td valign="top" align="left">Embryonic forelimb morphogenesis</td>
<td valign="top" align="center">12.5653</td>
<td valign="top" align="center">13.38364</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">0007275</td>
<td valign="top" align="left">Multicellular organism development</td>
<td valign="top" align="center">2.149419</td>
<td valign="top" align="center">11.51722</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">0032688</td>
<td valign="top" align="left">Negative regulation of interferon-beta production</td>
<td valign="top" align="center">53.61194</td>
<td valign="top" align="center">9.387513</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">0060675</td>
<td valign="top" align="left">Ureteric bud morphogenesis</td>
<td valign="top" align="center">53.61194</td>
<td valign="top" align="center">9.387513</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">2001181</td>
<td valign="top" align="left">Positive regulation of interleukin-10 secretion</td>
<td valign="top" align="center">53.61194</td>
<td valign="top" align="center">9.387513</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">0048706</td>
<td valign="top" align="left">Embryonic skeletal system development</td>
<td valign="top" align="center">8.247991</td>
<td valign="top" align="center">8.969668</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">0009952</td>
<td valign="top" align="left">Anterior/posterior pattern specification</td>
<td valign="top" align="center">4.684538</td>
<td valign="top" align="center">8.623385</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">0060070</td>
<td valign="top" align="left">Canonical Wnt signaling pathway</td>
<td valign="top" align="center">5.154994</td>
<td valign="top" align="center">8.014638</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">0010042</td>
<td valign="top" align="left">Response to manganese ion</td>
<td valign="top" align="center">26.80597</td>
<td valign="top" align="center">7.938039</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">0009954</td>
<td valign="top" align="left">Proximal/distal pattern formation</td>
<td valign="top" align="center">10.05224</td>
<td valign="top" align="center">7.809469</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">0046628</td>
<td valign="top" align="left">Positive regulation of insulin receptor signaling pathway</td>
<td valign="top" align="center">22.97655</td>
<td valign="top" align="center">7.587427</td>
<td valign="top" align="center">Down</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-mmr-13-03-2627">
<p>GO, gene ontology.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-mmr-13-03-2627" position="float">
<label>Table III</label>
<caption>
<p>Pathway classification.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Pathway ID</th>
<th valign="bottom" align="center">Pathway term</th>
<th valign="bottom" align="center">Enrichment</th>
<th valign="bottom" align="center">(&#x02212;log2P)</th>
<th valign="bottom" align="center">Up/downregulated</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">05034</td>
<td valign="top" align="left">Alcoholism</td>
<td valign="top" align="center">8.39875</td>
<td valign="top" align="center">32.3993</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">05322</td>
<td valign="top" align="left">Systemic lupus erythematosus</td>
<td valign="top" align="center">9.129076</td>
<td valign="top" align="center">29.151</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">05217</td>
<td valign="top" align="left">Basal cell carcinoma</td>
<td valign="top" align="center">7.635227</td>
<td valign="top" align="center">10.23381</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">04512</td>
<td valign="top" align="left">ECM-receptor interaction</td>
<td valign="top" align="center">4.772017</td>
<td valign="top" align="center">7.471521</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">04916</td>
<td valign="top" align="left">Melanogenesis</td>
<td valign="top" align="center">4.157797</td>
<td valign="top" align="center">6.698221</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">04390</td>
<td valign="top" align="left">Hippo signaling pathway</td>
<td valign="top" align="center">3.27224</td>
<td valign="top" align="center">6.165099</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">05203</td>
<td valign="top" align="left">Viral carcinogenesis</td>
<td valign="top" align="center">2.840157</td>
<td valign="top" align="center">5.914846</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">05202</td>
<td valign="top" align="left">Transcriptional misregulation in cancer</td>
<td valign="top" align="center">2.799583</td>
<td valign="top" align="center">5.229064</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">04910</td>
<td valign="top" align="left">Insulin signaling pathway</td>
<td valign="top" align="center">2.957306</td>
<td valign="top" align="center">4.892077</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">04340</td>
<td valign="top" align="left">Hedgehog signaling pathway</td>
<td valign="top" align="center">4.49933</td>
<td valign="top" align="center">4.869559</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">04977</td>
<td valign="top" align="left">Vitamin digestion and absorption</td>
<td valign="top" align="center">6.998958</td>
<td valign="top" align="center">4.700239</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">04064</td>
<td valign="top" align="left">NF-&#x003BA;B signaling pathway</td>
<td valign="top" align="center">6.15293</td>
<td valign="top" align="center">8.938564</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">04668</td>
<td valign="top" align="left">TNF signaling pathway</td>
<td valign="top" align="center">5.090152</td>
<td valign="top" align="center">7.82519</td>
<td valign="top" align="center">Up</td></tr>
<tr>
<td valign="top" align="left">04060</td>
<td valign="top" align="left">Cytokine-cytokine receptor interaction</td>
<td valign="top" align="center">3.803208</td>
<td valign="top" align="center">9.593708</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">04310</td>
<td valign="top" align="left">Wnt signaling pathway</td>
<td valign="top" align="center">2.74469</td>
<td valign="top" align="center">4.521127</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">05202</td>
<td valign="top" align="left">Transcriptional misregulation in cancer</td>
<td valign="top" align="center">3.732778</td>
<td valign="top" align="center">6.955703</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">05166</td>
<td valign="top" align="left">HTLV-I infection</td>
<td valign="top" align="center">2.94693</td>
<td valign="top" align="center">6.11439</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">04621</td>
<td valign="top" align="left">NOD-like receptor signaling pathway</td>
<td valign="top" align="center">5.418548</td>
<td valign="top" align="center">5.528479</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">05132</td>
<td valign="top" align="left"><italic>Salmonella</italic> infection</td>
<td valign="top" align="center">3.952353</td>
<td valign="top" align="center">4.424635</td>
<td valign="top" align="center">Down</td></tr>
<tr>
<td valign="top" align="left">05161</td>
<td valign="top" align="left">Hepatitis B</td>
<td valign="top" align="center">3.068037</td>
<td valign="top" align="center">4.341831</td>
<td valign="top" align="center">Down</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-mmr-13-03-2627">
<p>ECM, extracellular matrix; NF-&#x003BA;B, nuclear factor &#x003BA;B; TNF, tumor necrosis factor; HTLV-I, human T-lymphotropic virus 1; NOD, nucleotide-binding oligomerization domain.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
