Skip Content
You are currently on the new version of our website. Access the old version .
MDPIMDPI
Search all articles
BiomoleculesBiomolecules
Download PDF
  • Article
  • Open Access

20 July 2018

The Role of Specific Chemokines in the Amelioration of Colitis by Appendicitis and Appendectomy

,
and
1
Department of Medicine, St. George Clinical School, University of New South Wales, Sydney, NSW 2052, Australia
2
Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA
3
Department of Surgery, St. George Hospital, Kogarah, NSW 2217, Australia
*
Author to whom correspondence should be addressed.
Biomolecules2018, 8(3), 59;https://doi.org/10.3390/biom8030059
This article belongs to the Special Issue The Role of Chemokines in Inflammatory Pathologies
Version Notes
Order Reprints

Abstract

The appendix contains abundant lymphoid tissue and is constantly exposed to gut flora. When completed at a young age, appendicitis followed by appendectomy (AA) prevents or significantly ameliorates Inflammatory Bowel Diseases (IBDs) in later life. Inflammatory bowel disease comprises Crohn’s disease and ulcerative colitis. Our murine AA model is the only existing experimental model of AA. In our unique model, AA performed in the most proximal colon limits colitis pathology in the most distal colon by curbing T-helper 17 cell activity, diminishing autophagy, modulating interferon activity-associated molecules, and suppressing endothelin vaso-activity-mediated immunopathology. In the research presented in this paper, we have examined the role of chemokines in colitis pathology with our murine AA model. Chemokines are a family of small cytokines with four conserved cysteine residues. Chemokines induce chemotaxis in adjacent cells with corresponding receptors. All 40 known chemokine genes and 24 chemokine receptor genes were examined for gene expression levels in distal colons three days post-AA and 28 days post-AA. At 28 days post-AA, the chemokine gene CCL5 was significantly upregulated. Furthermore, Gene Set Enrichment Analysis (GSEA) showed upregulation of seven CCL5-associated gene-sets 28 days post-AA in contrast to just one gene-set downregulated at the same time-point. The chemokine gene CXCL11 was significantly upregulated three days post-AA and 28 days post-AA. Evaluation using GSEA showed upregulation of six CXCL11-associated gene sets but no downregulation of any gene set. At 28 days post-AA, CCL17 gene expression was significantly downregulated. There was no expression of any chemokine receptor gene three days post-AA, but CCR10 was the only chemokine receptor gene that displayed differential gene expression (upregulation) 28 days post-AA. No CCR10-associated gene set was upregulated in GSEA in contrast to one downregulated gene set. Our analysis resulted in identifying three new therapeutic targets towards ameliorating colitis: CCL5, CXCL11, and CCL17. While CCL5 and CXCL11 are good therapeutic chemokine candidates to be exogenously administered, CCL17 is a good candidate chemokine to competitively inhibit or limit colitis pathology.

1. Introduction

Appendicitis is the most common abdominal emergency requiring surgery [1]. The appendix has abundant lymphoid tissue and is constantly exposed to intestinal pathogens and commensals. However, the complex interplay between genetic proclivity, gut flora, and intestinal immunity in Inflammatory Bowel Diseases (IBD) comprising ulcerative colitis and Crohn’s disease is not clear. The critical role of appendicitis followed by appendectomy (AA) in ameliorating or preventing the development of human ulcerative colitis [2,3,4] and Crohn’s disease [3,5] is limited to patients having surgery before turning 20 years of age [4]. Using our murine AA model [6], we have previously demonstrated that AA performed in the most proximal colon limits colitis pathology by inducing the activities below in the most distal colon.
  • Substantial curbing of T-helper 17 cell-recruitment, -differentiation, -activation, and -effector interleukin expression [7]. Th17 cell activity and migration to the site of colitis is also suppressed by AA through the downregulation of pro-inflammatory Th17 cell recruitment-factor CCL20 [8].
  • Global suppression of autophagy gene expression and gene-set expression [9].
  • Late suppression of endothelin-related genes and gene-sets, specifically endothelins (ET-1 and ET-2), and endothelin converting enzyme B [10].
  • Upregulation or downregulation of genes and gene-sets specific to interferon activity [11].
In this work, we have examined the role of chemokines in colitis pathology with our murine AA model. Chemokines are a family of small CHEMOtactic cytoKINES (CHEMOKINES), which induce chemotaxis in adjacent cells with corresponding receptors [12]. The balance of chemokines is crucial for immunological homeostasis [13] and derangements in their activity have significant roles in immunopathology [14], which makes them good potential targets in diseases with inflammatory and immunological pathophysiology like ulcerative colitis [15,16]. Chemokines are small (8–10 kDa), have 4 conserved cysteine residues participating in the formation of their 3-dimensional morphology, and are classified into 4 subfamilies, which include CXC, CC, CX3C, and XC [12]. Chemokines act through the interaction with G protein-linked transmembrane receptors on target cell membranes [12].
Elaboration of information on all known chemokines and chemokine receptors are redundant, irrelevant, and beyond the scope of this paper. In this paper, we have focused on briefly describing the known roles of chemokines and chemokine receptor(s), which showed statistically significant expression changes. The chemokine CCL5 is a chemoattractant for monocytes, memory T-helper cells, and eosinophils [17]. It is also an eosinophil-activator and induces histamine release from basophils [17]. The chemokine CCL7 is a chemoattractant for macrophages and a substrate of extracellular matrix metalloproteinase 2 [18]. The chemokine CCL8 is a chemoattractant for monocytes, lymphocytes, basophils, and eosinophils [19]. The chemokine CCL17 is a chemo-attractant for T lymphocytes, which assisted in their activation [20]. The chemokine CCL20 is a chemo-attractant for lymphocytes and neutrophils, which may assist mucosal lymphoid tissues to attract lymphocytes and dendritic cells towards epithelial cells [8]. The chemokine CXCL11 is a chemo-attractant for interleukin-activated T cells, which are induced by gamma and beta interferons [21]. The chemokine receptor CCR10 is the receptor for the chemokine CCL27, which is a chemo-attractant for memory T lymphocytes [19].
Gene expression analysis strategies may highlight differences in individual gene expression between two experimental groups, but do not deal with the complex reality of cellular processes cohesively effecting changes. These concerted cumulative changes, however, become evident as differential expression of groups of genes (gene-sets). While gene changes may be minimal at the level of individual genes, they can be substantial at the level of gene-sets. To this end, we have used Affymetrix® microarray analysis, Reverse Transcription-Polymerase Chain Rection (RT-PCR), and gene set enrichment analysis (GSEA) [22] to characterize the roles of individual chemokines, chemokine receptors, and associated pathophysiological pathways involved in the protective anti-colitic effect of AA in our model.

2. Results

2.1. Individual Distal Colonic Gene Expression of 40 Chemokine Genes Three Days Post-AA and 28 Days Post-AA

Microarray expression levels of 40 chemokine genes [13] from distal colons three days post-AA and 28 days post-AA were examined (Table 1). At three days post-AA, CXCL11 was significantly upregulated and CCL20 was significantly downregulated (* p value < 0.05). At 28 days post-AA, CCL5 and CXCL11 were significantly upregulated and CCL17 and CCL20 were significantly downregulated (* p value < 0.05).
Table 1. Individual distal colonic gene expression described chemokine genes three days post-AA and 28 Days post-AA.

2.2. Individual Distal Colonic Gene Expression of 24 Described Chemokine Receptor Genes Three Days Post-AA and 28 Days Post-AA

Microarray gene expression levels of 24 chemokine receptor genes [23] from distal colons three days post-AA and 28 days post-AA were examined (Table 2). There was no gene expression of any chemokine receptor gene three days post-AA. However, there was gene expression of most chemokine receptor genes 28 days post-AA. The chemokine receptor gene CCR10 was the only chemokine receptor gene that displayed differential gene expression 28 days post-AA specifically upregulation (* p value < 0.05).
Table 2. Individual distal colonic gene expression of 24 described chemokine receptor genes three days post-AA and 28 Days post-AA.

2.3. Differentially Regulated Distal Colonic Gene Sets Associated with Differentially Regulated Individual Chemokine and Chemokine Receptor Genes 28 Days Post-AA

The Gene Set Enrichment Analysis with stringent criteria (False Discovery Rate or FDR < 5% and p Value < 0.001) revealed that 7 CCL5-associated gene-sets were upregulated 28 days post-AA in contrast to one downregulated gene set (Table 3). No CCL17-associated gene sets were upregulated or downregulated. One CCL20-associated gene set was upregulated in contrast to no gene sets downregulated. Six CXCL11-associated gene sets were upregulated in contrast to no gene sets downregulated. No CCR10-associated gene sets were upregulated in contrast to one gene set downregulated.
Table 3. Differentially regulated gene sets associated with differentially regulated individual chemokine and chemokine receptor genes in the distal colon 28 days post-AA.

2.4. Differentially Regulated 28 Days Post-AA Gene-Sets Associated with Chemokines CCL7 and CCL8 Which Showed High-Fold-Change Gene Expression in the Distal Colon Three Days Post-AA

Gene Set Enrichment Analysis was also done on CCL7 and CCL8 28 days post-AA, which is due to the fact that the individual genes CCL7 and CCL8 showed high fold-changes in AA without statistical significance (Table 4). Using stringent criteria (FDR < 5% and p value < 0.001), it was found that no CCL7-associated gene sets were upregulated 28 days post-AA in contrast to one gene set downregulated. Two CCL8-associated gene sets were upregulated 28 days post-AA in contrast to no gene sets downregulated.
Table 4. Differentially regulated 28 days post-AA gene sets associated with chemokines CCL7 and CCL8 which showed high-fold-change gene expression in the distal colon three days post-AA.

2.5. RT-PCR Expression Study of CCL7 and CCL8 Chemokines Three Days Post-AA and 28 Days Post-AA

RT-PCR transcript levels of chemokines CCL7 and CCL8 were compared in SS mice versus AA mice at either three days or 28 days after the second surgery (Figure 1). Expression of both CCL7 and CCL8 were significantly increased by AA (p value < 0.05) three days after the second surgery when compared to SS controls. Expression of CCL7 was significantly decreased by AA (p value < 0.05) 28 days after the second surgery when compared to SS controls. Expression of CCL8 was decreased (not statistically significant) by AA 28 days after the second surgery when compared to SS controls.
Figure 1. RT-PCR expression study of CCL7 and CCL8 chemokines three days post-AA and 28 days post-AA. RT-PCR transcript levels of chemokines CCL7 and CCL8 were compared in AA mice versus SS mice at either three days or 28 days after the second surgery. Expression of both CCL7 and CCL8 were significantly increased by AA three days after the second surgery when compared to controls (SS). Expression of CCL7 was significantly decreased by AA 28 days after the second surgery when compared to controls (SS). Expression of CCL8 was decreased (not statistically significant) by AA 28 days after the second surgery when compared to controls (SS). AA, Appendicitis-appendectomy, SS, Sham-sham. * p value < 0.05.

3. Discussion

Using a novel murine appendicitis model we developed [6], we had shown that AA provided significant protection against subsequent experimental colitis by curtailing T-helper 17 cell-recruitment, cell-differentiation, cell-activation, and cell-effector interleukin expression [7] by suppressing autophagy gene expression and gene-set expression [9], by suppressing endothelin-related genes and gene-sets [10], and by upregulating or downregulating genes and gene-sets specific to IFN activity [11].
Our microarray data is robust due to the experimental design, which is evidentially buttressed by the validation process. Our Affymetrix microarray experiments involved test samples from four individual mice for the three-day post-SS time-point and four individual mice for the for the three-day post-AA time-point. Our Affymetrix microarray experiments involved test samples from three individual mice for the 28-day post-SS time-point and three individual mice for the 28-day post-AA time-point. None of the samples were pooled. RNA from each mouse colon was taken individually through the microarray process and our microarray data displays differential expression only if the colonic RNA from each mouse from an experimental group showed differential expression compared to the colonic RNA from each mouse from the control group [24].
Our microarray data was validated by two additional methodologies. First, our study was validated by quantitative RT-PCR of 14 selected genes from various groups [24]. Additionally, we also conducted quantitative RT-PCR time-course experiments of these genes at three different time-points [24]. Second, the enrichment of gene-sets via GSEA were shown to corroborate differential expression of individual genes using stringent criteria (FDR < 5% and p value < 0.001). Our GSEA data was robust because gene-set expression from the colons of each mouse were individually computed. The GSEA data represents common gene sets that were differentially expressed in the colonic RNA from each mouse in an experimental group in comparison to each mouse in the control group (FDR < 5% and p value < 0.001) [24].
This work examined all known chemokine genes [13] for gene expression levels in distal colons three days post-AA and 28 days post-AA. The chemokines and chemokine receptor(s) that showed statistically significant expression changes in our study were CCL5, CCL7, CCL8, CCL17, CCL20, CXCL11, and CCR10.
The T-helper 17 recruitment factor CCL20 is a chemoattractant for lymphocytes and neutrophils, which may assist mucosal lymphoid tissues to attract lymphocytes and dendritic cells towards epithelial cells [8]. It is found on inflamed gut mucosa and its ligand CCR6 is found on T-helper 17 cells. Both CCL20 and CCR6 are upregulated in IBD [25,26]. Our results (previous [7] and current (Table 1)) suggest that T-helper 17 cell activity and migration to the site of colitis is suppressed by AA via CCL20 gene downregulation at both time points (3 days post-AA and 28 days post-AA) [7,8], which makes CCL20 an attractive therapeutic target possibility.
The chemokine CCL5 attracts monocytes, memory T helper cells, and eosinophils to a specific site [17]. It induces histamine release from basophils and activates eosinophils [17]. At 28 days post-AA, CCL5 was significantly upregulated (Table 1). Moreover, seven CCL5-associated gene sets were upregulated 28 days post-AA in contrast to one gene set downregulated (Table 3). This makes CCL5 an excellent potential therapeutic molecule to test on animal colitis models despite the possibility of pro-allergic physiology.
The chemokine CXCL11 is induced by gamma and beta interferons and is a chemoattractant for interleukin-activated T-cells [21]. Three days and 28 days post-AA CXCL11 was significantly upregulated. On GSEA, six CXCL11-associated gene sets were upregulated in contrast to no gene sets downregulated. This makes the administration of exogenous CXCL11 a satisfactory therapeutic possibility to test on animal colitis models.
The chemokine CCL17 attracts and activates T lymphocytes [20]. Twenty-eight days post-AA, CCL17 gene expression was significantly downregulated. Competitive inhibition of CCL17 by peptides is a new therapeutic approach to test on animal colitis models.
The chemokine CCL7 is a chemo-attractant for macrophages and a substrate of extracellular matrix metalloproteinase 2 [18] while CCL8 is a chemoattractant for monocytes, lymphocytes, basophils, and eosinophils [19]. The chemokine genes CCL7 and CCL8 showed high-fold-change expression increases in the distal colon three days post-AA when compared to three days post-SS (Table 1). However, these were not statistically significant. Therefore, GSEA analysis was done on CCL7 and CCL8 28 days post-AA, but was unremarkable (Table 4). Additionally, CCL7 and CCL8 were chosen for further investigation for gene-expression changes by RT-PCR both three days post-AA and 28 days post-AA (Figure 1). RT-PCR expression of both CCL7 and CCL8 were significantly increased by AA three days after the second surgery (Figure 1). However, RT-PCR expression of CCL7 alone was significantly decreased by AA 28 days after the second surgery (Figure 1). Therefore, CCL7 or CCL8 was not considered for follow-up studies as possible therapeutic targets.
All known chemokine receptor genes [23] were examined for gene expression levels in distal colons three days post-AA and 28 days post-AA. Interestingly and intuitively, but logically (chemokines induce upregulation of target and non-target chemokine receptors), there was no expression of any chemokine receptor gene three days post-AA. However, evidence of expression of most chemokine receptor genes occurred 28 days post-AA (Table 2). The chemokine receptor CCR10 was the only chemokine receptor gene that displayed significant differential gene expression (upregulation) 28 days post-AA (Table 2). CCR10 is the receptor for CCL27, which attracts memory T lymphocytes [19]. However, using GSEA to dissect further, no CCR10-associated gene-sets were upregulated in contrast to one gene-set downregulated (Table 3). Therefore, CCR10 was not considered for follow-up studies as a possible therapeutic target.
To summarize, we have identified three new anti-colitic targets. The chemokines CCL5 and CXCL11 are direct therapeutic possibilities. The chemokine CCL17 is a potential target to be competitively inhibited.

4. Materials and Methods

4.1. Animal Experiments

Specific pathogen free Balb/c mice (Male, 5 weeks) were intraperitoneally anaesthetized with xylazine (5 mg/kg) and ketamine (100 mg/kg), which was followed by randomized allocation into two treatment groups, which included the appendicitis group or the sham surgery group [27]. Appendicitis was induced by constructing an appendiceal pouch from the caecal lymphoid patch and obstructing this by rubber band ligation using standardized negative aspiration. Sham surgery entailed a similar procedure, but, without continuous obstruction by band ligation of the caecal patch, the placement of a sterile rubber band in the abdominal cavity acted as a control for foreign body reaction. Seven days following the initial surgery, mice with appendicitis underwent an appendectomy (appendicitis and appendectomy, AA, group) while the control sham mice underwent a second sham surgery (sham and sham, SS, group). All mice were monitored daily. Three days after the second surgery, mice from both groups (SS group and AA group) were euthanized and the distal-most transmural colonic segments were harvested.

4.2. Processing of Colonic Specimens for RNA Extraction

Transmural colonic samples were cleaned promptly with normal saline and transferred to a TRIzol® reagent (Invitrogen Australia Pty Limited, Mulgrave, Australia), snap-frozen in liquid nitrogen, and stored at −80 °C until microarray analysis was completed. Further extraction entailed chloroform and isopropanol treatment and centrifugation followed by washing the resultant pellet with 75% ethanol, drying, and re-constitution in nuclease-free H2O. Concentration and purity of RNA were determined by automated optical density evaluation (OD 260/OD 280 ≥ 1.8 and OD 260/OD 230 ≥ 1.8) using Nanodrop ND-1000 (Nanodrop Technologies, Wilmington, DE, USA). The degree of RNA degradation was analyzed by the Agilent electrophoresis bio-analyzer 2100 (Agilent Technologies Inc., Santa Clara, CA, USA) with the RNA integrity number (RIN) values consistently above 7.

4.3. Experimental Design of Microarray Study and the Affymetrix Array Process

All experiments were designed to be compliant with minimum information about a microarray experiment (MIAME) standards [28,29]. For Affymetrix array experiments, four individual test samples (for 3-day post-SS/AA time-point) or 3 individual test samples (for 28-day post-SS/AA time-point) were used per group (AA group versus SS group, one colonic sample per mouse) with each sample hybridized to an individual slide. The extracted RNA from each mouse specimen was taken individually through the microarray process. For Affymetrix arrays, 100 ng of RNA from each sample was labeled using the Whole Transcript Sense Target Labelling Assay as described (Affymetrix). Labeled cRNA samples were then hybridized to the Affymetrix Mouse Gene 1.0 ST Arrays (28,853 well-annotated genes) before being scanned. The Gene Expression Omnibus accession number for microarray data reported here is GSE23914 and the relevant link is http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE23914. All non-control probe sets from the eight arrays were imported into Partek (Version 6.4, Partek Inc., Chesterfield, MO 63005, USA) and then normalized using Robust Multi-Array Average [30]. The probability of each probe set being expressed was determined using the detected above background procedure and utilizing Affymetrix Power Tools (version 1.10.2). Probe sets were excluded if none of the samples were detected above the background level. To assess the degree of differential expression between AA and SS groups, a two-way Analysis of Varianceon treatment and batch was fitted to each probe set using Partek. To correct for multiple hypothesis testing, we used the q value/positive False Discovery Rate (FDR) [31].

4.4. Gene Set Enrichment Analysis and Enrichment of Chemokine and Chemokine Receptor Associated Gene Sets

We compared gene expression profiles from our garnered data to the c2_all collection of curated gene-sets (experimentally derived and from curated pathways) from the molecular signatures database (version 2.5) [22]. This approach termed GSEA, developed by Mootha [32], merges data from groups of gene sets previously described in literature to detect significant expression differences. A pre-ranked file was created containing the average difference between AA and SS for each probe set, which was sorted from most up-regulated in SS to most down-regulated. We used the na28 annotation csv file from www.affymetrix.com to determine the gene symbol for each probe set and collapsed probe sets to unique genes using the default, max_probe option, which resulted in 18,600 unique genes. GSEA (version 2.0, Broad Institute, Inc., MIT, Cambridge, Massachusetts, USA: and Regents of the UC, San Diego, California, USA) [22] was run in the pre-ranked mode using default parameters as elaborately described earlier [24]. Stringent statistical cut-offs (FDR values < 1% and p value < 0.001) determined chemokine associated gene-sets and chemokine receptor associated gene-sets, which were altered across distal colons of all AA mice when compared to all control SS mice.

4.5. Quantitative RT-PCR Expression of CCL7 and CCL8

We verified gene expression for the genes CCL7 and CCL8 via RT-PCR studies. Specific methodologies and the main RT-PCR study validation results have already been published [24].

4.6. Other Statistics Used

Group comparisons (other than the ones mentioned earlier) were analyzed using the Mann-Whitney U test with a GraphPad Prism (Graphpad software, San Diego, CA, USA). Data are expressed as a mean ± standard error of mean and the differences were considered to be significant if the p value < 0.05.

5. Conclusions

We have identified CCL5, CXCL11, and CCL17 as three new therapeutic targets to manipulate towards ameliorating or impeding colitic pathophysiology in animal models and potentially later in the mollification of human IBD. Both CCL5 and CXCL11 are satisfactory therapeutic molecule candidates to test initially on animal colitis models. Inhibition of CCL17 by peptides, antibodies, or small molecules is an exciting new therapeutic approach to test on animal colitis models.

Author Contributions

R.C. designed research, performed research, collated data, processed data, archived data, analyzed data, wrote paper, and prepared responses to reviewer comments. D.G.T. wrote paper and prepared responses to reviewer comments. S.S. wrote paper and prepared responses to reviewer comments.

Acknowledgments

We acknowledge the National Health and Medical Research Council (NHMRC) for supporting this work. We acknowledge Michael Grimm for his overseership. The Pacific Northwest National Laboratory is operated for the United States Department of Energy by Battelle Memorial Institute under contract DE-AC05-76RL01830.

Conflicts of Interest

We acknowledge Michael Grimm for overseeing us. Over the past couple of years, he has not responded to emails, phone calls, and text messages to discuss participation in manuscript writing, support, or co-authorship.

References

  1. Addiss, D.G.; Shaffer, N.; Fowler, B.S.; Tauxe, R.V. The epidemiology of appendicitis and appendectomy in the united states. Am. J. Epidemiol. 1990, 132, 910–925. [Google Scholar] [CrossRef] [PubMed]
  2. Koutroubakis, I.E.; Vlachonikolis, I.G.; Kouroumalis, E.A. Role of appendicitis and appendectomy in the pathogenesis of ulcerative colitis: A critical review. Inflamm. Bowel Dis. 2002, 8, 277–286. [Google Scholar] [CrossRef] [PubMed]
  3. Lopez Ramos, D.; Gabriel, R.; Cantero Perona, J.; Moreno Otero, R.; Fernandez Bermejo, M.; Mate Jimenez, J. Association of MALTectomy (appendectomy and tonsillectomy) and inflammatory bowel disease: A familial case-control study. Rev. Esp. Enferm. Dig. 2001, 93, 303–314. [Google Scholar] [PubMed]
  4. Andersson, R.E.; Olaison, G.; Tysk, C.; Ekbom, A. Appendectomy and protection against ulcerative colitis. N. Engl. J. Med. 2001, 344, 808–814. [Google Scholar] [CrossRef] [PubMed]
  5. Radford-Smith, G.L.; Edwards, J.E.; Purdie, D.M.; Pandeya, N.; Watson, M.; Martin, N.G.; Green, A.; Newman, B.; Florin, T.H. Protective role of appendicectomy on onset and severity of ulcerative colitis and Crohn’s disease. Gut 2002, 51, 808–813. [Google Scholar] [CrossRef] [PubMed]
  6. Cheluvappa, R. A novel model of appendicitis and appendectomy to investigate inflammatory bowel disease pathogenesis and remediation. Biol. Proced. Online 2014, 16, 10. [Google Scholar] [CrossRef] [PubMed]
  7. Cheluvappa, R.; Luo, A.S.; Grimm, M.C. T helper type 17 pathway suppression by appendicitis and appendectomy protects against colitis. Clin. Exp. Immunol. 2014, 175, 316–322. [Google Scholar] [CrossRef] [PubMed]
  8. Cheluvappa, R. Experimental appendicitis and appendectomy modulate the CCL20–CCR6 axis to limit inflammatory colitis pathology. Int. J. Colorectal Dis. 2014, 29, 1181–1188. [Google Scholar] [CrossRef] [PubMed]
  9. Cheluvappa, R.; Luo, A.S.; Grimm, M.C. Autophagy suppression by appendicitis and appendectomy protects against colitis. Inflamm. Bowel Dis. 2014, 20, 847–855. [Google Scholar] [CrossRef] [PubMed]
  10. Cheluvappa, R.; Eri, R.; Luo, A.S.; Grimm, M.C. Endothelin and vascular remodelling in colitis pathogenesis—Appendicitis and appendectomy limit colitis by suppressing endothelin pathways. Int. J. Colorectal Dis. 2014, 29, 1321–1328. [Google Scholar] [CrossRef] [PubMed]
  11. Cheluvappa, R.; Eri, R.; Luo, A.S.; Grimm, M.C. Modulation of interferon activity-associated soluble molecules by appendicitis and appendectomy limits colitis-identification of novel anti-colitic targets. J. Interferon Cytokine Res. 2015, 35, 108–115. [Google Scholar] [CrossRef] [PubMed]
  12. Zlotnik, A.; Yoshie, O. Chemokines: A new classification system and their role in immunity. Immunity 2000, 12, 121–127. [Google Scholar] [CrossRef]
  13. Zlotnik, A.; Yoshie, O. The chemokine superfamily revisited. Immunity 2012, 36, 705–716. [Google Scholar] [CrossRef] [PubMed]
  14. Baggiolini, M. Chemokines in pathology and medicine. J. Int. Med. 2001, 250, 91–104. [Google Scholar] [CrossRef]
  15. Dharmani, P.; Chadee, K. Biologic therapies against inflammatory bowel disease: A dysregulated immune system and the cross talk with gastrointestinal mucosa hold the key. Curr. Mol. Pharmacol. 2008, 1, 195–212. [Google Scholar] [CrossRef] [PubMed]
  16. Fiorino, G.; Rovida, S.; Correale, C.; Malesci, A.; Danese, S. Emerging biologics in the treatment of inflammatory bowel disease: What is around the corner? Curr. Drug Targets 2010, 11, 249–260. [Google Scholar] [CrossRef] [PubMed]
  17. Stone, K.D.; Prussin, C.; Metcalfe, D.D. IgE, mast cells, basophils, and eosinophils. J. Allergy Clin. Immunol. 2010, 125, S73–S80. [Google Scholar] [CrossRef] [PubMed]
  18. Yodoi, R.; Tamba, S.; Morimoto, K.; Segi-Nishida, E.; Nishihara, M.; Ichikawa, A.; Narumiya, S.; Sugimoto, Y. Rhoa/Rho kinase signaling in the cumulus mediates extracellular matrix assembly. Endocrinology 2009, 150, 3345–3352. [Google Scholar] [CrossRef] [PubMed]
  19. Yung, S.C.; Farber, J.M. Chapter 89—Chemokines. In Handbook of Biologically Active Peptides, 2nd ed.; Kastin, A.J., Ed.; Academic Press: Boston, MA, USA, 2013; pp. 656–663. [Google Scholar]
  20. Yoshie, O.; Matsushima, K. CCR4 and its ligands: From bench to bedside. Int. Immunol. 2015, 27, 11–20. [Google Scholar] [CrossRef] [PubMed]
  21. Muller, M.; Carter, S.; Hofer, M.J.; Campbell, I.L. Review: The chemokine receptor CXCR3 and its ligands CXCL9, CXCL10 and CXCL11 in neuroimmunity—A tale of conflict and conundrum. Neuropathol. Appl. Neurobiol. 2010, 36, 368–387. [Google Scholar] [CrossRef] [PubMed]
  22. Subramanian, A.; Tamayo, P.; Mootha, V.K.; Mukherjee, S.; Ebert, B.L.; Gillette, M.A.; Paulovich, A.; Pomeroy, S.L.; Golub, T.R.; Lander, E.S.; et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. USA 2005, 102, 15545–15550. [Google Scholar] [CrossRef] [PubMed]
  23. Nomiyama, H.; Osada, N.; Yoshie, O. A family tree of vertebrate chemokine receptors for a unified nomenclature. Dev. Comp. Immunol. 2011, 35, 705–715. [Google Scholar] [CrossRef] [PubMed]
  24. Cheluvappa, R.; Luo, A.S.; Palmer, C.; Grimm, M.C. Protective pathways against colitis mediated by appendicitis and appendectomy. Clin. Exp. Immunol. 2011, 165, 393–400. [Google Scholar] [CrossRef] [PubMed]
  25. Kaser, A.; Ludwiczek, O.; Holzmann, S.; Moschen, A.R.; Weiss, G.; Enrich, B.; Graziadei, I.; Dunzendorfer, S.; Wiedermann, C.J.; Murzl, E.; et al. Increased expression of CCL20 in human inflammatory bowel disease. J. Clin. Immunol. 2004, 24, 74–85. [Google Scholar] [CrossRef] [PubMed]
  26. Barrett, J.C.; Hansoul, S.; Nicolae, D.L.; Cho, J.H.; Duerr, R.H.; Rioux, J.D.; Brant, S.R.; Silverberg, M.S.; Taylor, K.D.; Barmada, M.M.; et al. Genome-wide association defines more than 30 distinct susceptibility loci for Crohn’s disease. Nat. Gen. 2008, 40, 955–962. [Google Scholar] [CrossRef] [PubMed]
  27. Watson Ng, W.S.; Hampartzoumian, T.; Lloyd, A.R.; Grimm, M.C. A murine model of appendicitis and the impact of inflammation on appendiceal lymphocyte constituents. Clin. Exp. Immunol. 2007, 150, 169–178. [Google Scholar] [CrossRef] [PubMed]
  28. Brazma, A. Minimum information about a microarray experiment (MIAME)—Successes, failures, challenges. Sci. World J. 2009, 9, 420–423. [Google Scholar] [CrossRef] [PubMed]
  29. Brazma, A.; Hingamp, P.; Quackenbush, J.; Sherlock, G.; Spellman, P.; Stoeckert, C.; Aach, J.; Ansorge, W.; Ball, C.A.; Causton, H.C.; et al. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat. Gen. 2001, 29, 365–371. [Google Scholar] [CrossRef] [PubMed]
  30. Irizarry, R.A.; Bolstad, B.M.; Collin, F.; Cope, L.M.; Hobbs, B.; Speed, T.P. Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res. 2003, 31, e15. [Google Scholar] [CrossRef] [PubMed]
  31. Storey, J.D.; Tibshirani, R. Statistical significance for genomewide studies. Proc. Natl. Acad. Sci. USA 2003, 100, 9440–9445. [Google Scholar] [CrossRef] [PubMed]
  32. Mootha, V.K.; Lindgren, C.M.; Eriksson, K.F.; Subramanian, A.; Sihag, S.; Lehar, J.; Puigserver, P.; Carlsson, E.; Ridderstrale, M.; Laurila, E.; et al. PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat. Gen. 2003, 34, 267–273. [Google Scholar] [CrossRef] [PubMed]

Article Metrics

Citations

Article Access Statistics

Journal Statistics
Multiple requests from the same IP address are counted as one view.
Download PDF
Novel Approaches for BAV Aortopathy Prediction—Is There a Need for Cohort Studies and Biomarkers?
Previous
Adverse Outcome Prediction of Iron Deficiency in Patients with Acute Coronary Syndrome
Next