Skip Navigation LinksHome > March 2011 - Volume 52 - Issue 3 > New Insights Into the Pathogenesis of Inflammatory Bowel Dis...
Journal of Pediatric Gastroenterology & Nutrition:
doi: 10.1097/MPG.0b013e3182034d08
Original Articles: Gastroenterology

New Insights Into the Pathogenesis of Inflammatory Bowel Disease: Transcription Factors Analysis in Bioptic Tissues From Pediatric Patients

Pierdomenico, Maria*; Stronati, Laura*; Costanzo, Manuela*; Vitali, Roberta*; Di Nardo, Giovanni; Nuti, Federica; Oliva, Salvatore; Cucchiara, Salvatore; Negroni, Anna*

Free Access
Article Outline
Collapse Box

Author Information

*ENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Italy

Department of Pediatrics, Pediatric Gastroenterology and Liver Unit, Sapienza University Hospital Umberto I, Rome, Italy.

Received 13 May, 2010

Accepted 20 October, 2010

Address correspondence and reprint requests to Anna Negroni, PhD, Section of Toxicology and Biomedical Sciences, Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123 Rome, Italy (e-mail: anna.negroni@enea.it).

The authors report no conflicts of interest.

Collapse Box

Abstract

Objectives: Our work is aimed at identifying ex vivo new transcription factors, potentially involved in the pathogenesis of pediatric inflammatory bowel disease (IBD), by using a microarray approach.

Patients and Methods: Microarray, including 84 transcription factors, was performed in inflamed and uninflamed mucosal tissues of pediatric patients with Crohn disease (CD) and in healthy controls. Real-time polymerase chain reaction was used to confirm microarray results on a larger size of CD and patients with ulcerative colitis (UC). Protein expression was evaluated by Western blot assay.

Results: Microarray assay showed 40 genes differentially regulated in the inflamed mucosa and 17 in the uninflamed mucosa of patients with CD as compared with controls. Real-time polymerase chain reaction analysis revealed 10 transcripts in CD and 4 in UC, selected among those with higher differences as compared with healthy controls, significantly overexpressed in the inflamed tissues of patients. Moreover, 4 transcripts in CD and 2 in UC were found significantly upregulated in the uninvolved tissue. A further investigation evidenced an increased protein expression of activating transcription factor 3 and hypoxia-inducible transcription factor-1α in patients with CD as well as in Caco2 cell line stimulated by cytokines and hypoxia.

Conclusions: The present study shows an evident upregulation of several transcription factors in the inflamed and uninflamed mucosa of children with IBD, suggesting that the inflammatory process is somehow activated at molecular levels even in the macroscopically normal mucosa of patients. A differential pattern of gene expression between CD and UC indicates distinct molecular mechanisms underlying the pathogenesis of 2 diseases. Finally, activating transcription factor 3 and hypoxia-inducible transcription factor-1α are proposed as new transcription factors potentially involved in the onset and maintenance of IBD.

Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn disease (CD), are chronic, spontaneously relapsing, immunologically mediated disorders of the gut. The current understanding of IBD pathogenesis suggests a complex interplay of multiple environmental and genetic factors that results in a dysregulation of the host immune response, with an inappropriate activation of the intestinal mucosal immune system leading to inflammation and tissue damage (1–3). The inflamed tissue in patients with IBD with active disease is characterized by an increased production of proinflammatory cytokines, which represent the principal target of treatment strategies (4). Because most cytokines exert their biological properties through a downstream pathway that involves activation of corresponding signal transducers and activators of transcription, recent research has focused on these signaling pathways (5). However, the pivotal elements in the regulation of the inflammatory response remain unclear and additional studies are necessary.

One of the transcription factors involved in the pathogenesis of IBD belongs to the NF-κB family, whose components regulate multiple inflammatory target genes, including several NF-κB genes themselves, cytokines and chemokines, antiapoptotic and proliferative genes, and adhesion molecules (6,7). In a previous study (8), we demonstrated that NF-κB is strongly activated in inflamed tissues of pediatric patients with CD as compared to healthy controls.

Recently, the study of the disease mechanisms in pediatric IBD has raised great interest among scientists and clinicians. A growing view is that IBD in children represents a unique population in which the disease is in an early stage and the mechanisms are poorly confounded or influenced by environmental factors. One of the most challenging issues in pediatric IBD is how to translate advancements in the knowledge of pathogenesis into therapeutic strategies aimed at slowing down, if not preventing, the progression into a late disease stage (9).

The present study is aimed at identifying, through a microarray assay, new transcription factors involved in the pathogenesis of IBD and at establishing among them early biomarkers of inflammation and potential targets for therapeutic intervention. We found that several genes involved in fundamental signaling of inflammatory and/or immune response were mostly overexpressed in patients with IBD as compared with controls.

Back to Top | Article Outline

PATIENTS AND METHODS

Patients

All of the patients were enrolled at the Pediatric Gastroenterology and Liver Unit of the Sapienza University of Rome and underwent ileocolonoscopy performed by the same endoscopist with a pediatric video colonoscope (Olympus PCF 40L Olympus, Tokyo, Japan) after conscious sedation with intravenous pethidine (1–2 mg/kg) and midazolam (0.1 mg/kg) or general anesthesia.

Diagnosis of CD and UC was based on widely agreed-upon endoscopic and histological criteria as well as on the exclusion of infectious and systemic disease, food allergies, and malabsorption syndromes (10). Clinical disease activity was measured using established clinical parameters of the pediatric CD and UC activity index (11,12). Tables 1 and 2 (12,13) report the demographic and clinical characteristics of the patients.

Table 1
Table 1
Image Tools
Table 2
Table 2
Image Tools

Three treatment-naïve pediatric patients with active colonic CD (1 girl, mean age 14.7 years) were recruited for polymerase chain reaction (PCR) microarray experiments. These patients showed similar degrees of disease activity and histological inflammation. The biopsies were taken from inflamed and uninflamed areas of the colon. Three normal subjects (1 girl, mean age 13.2 years) with functional gastrointestinal disorders and with normal colonoscopy and histology served as controls.

To validate microarray results, 28 patients with CD, including the previous 3 (9 girls, mean age 14.3 years, range 8–18 years), and 15 patients with UC (6 girls, mean age 7.9 years, range 1–17 years) were analyzed by real-time PCR (RT-PCR). In these patients, the biopsies were taken from both involved and uninvolved tissues.

When included in the study, 9 patients with CD and 3 patients with UC were not receiving any treatment, whereas the others were treated with different drugs including immunomodulators (azathioprine), mesalazine, or oral corticosteroids at low doses; some patients with CD were receiving courses of nutritional therapy. Tables 1 and 2 also summarize the therapy at time of endoscopy. The control population consisted of 20 children, including the previous 3 (11 girls, mean age 13.5 years, range 9–17), investigated for symptoms and signs of functional gastrointestinal disorders, without organic or inflammatory disease, as documented by normal endoscopy and histology.

Back to Top | Article Outline
Informed Consent and Approval by the Ethics Committee

The study was approved by the ethics committee of the University Hospital Umberto I where patients were admitted. For each patient informed consent from parents was obtained.

Back to Top | Article Outline
Biopsy Treatment

Mucosal biopsy specimens, taken from ileal and colonic districts, were conserved in RNAlater (Ambion) before RNA extraction; samples for protein analysis were immediately snap-frozen in liquid nitrogen.

Back to Top | Article Outline
Target Preparation and PCR Arrays

Total RNA was isolated using the RNeasy Kit (QiaGen GmbH, Hilden, Germany). RNA was quantified using the NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE) and its integrity was checked by gel electrophoresis. Of the total RNA pooled from 3 selected patients with CD and 3 controls, 1.5 μg was reverse transcribed to complementary DNA (cDNA) by RT First Strand Kit (SA Biosciences, Frederick, MD). Diluted cDNA from each sample was mixed with 2x SuperArray RT qPCR Master Mix. Each well of the 96-well PCR array (SABiosciences, cat PAHS-075) was loaded with 25 μL of Reaction Mix. A 2-step cycling program was performed: 1 cycle of 10 min at 95°C followed by 40 cycles of a denaturation step at 95°C for 15 sec and 1 min at 60°C. Results were normalized using 2 housekeeping genes: β-actin and glyceraldehyde-3-phosphate dehydrogenase.

Back to Top | Article Outline
Data Analysis

PCR array Data Analysis Web Portal automatically performs calculations and interpretations of control wells upon including threshold cycle data from a real-time instrument. ΔΔCt method was used for gene expression determination. Appropriate controls of DNA contamination, reverse transcription, and PCR efficiency were performed.

Back to Top | Article Outline
PCR Arrays Reliability and Reproducibility

To ascertain data reliability and reproducibility, the PCR array experiments were performed on triplicate using the same pool of target RNA.

Back to Top | Article Outline
Independent Quantitation of Microarray Results by RT-PCR

Selected gene expression signals were independently quantitated with RT-PCR on patients with CD and UC. Primers were designed to nonredundant sequences using Primer Express V3.0 (Applied Biosystems, Foster City, CA). Total RNA (1 μg) was reverse transcribed to cDNA by a High Capacity cDNA Reverse Transcription Kit (Applied Biosystems). RT-PCR amplification was done with an ABI PRISM 7300 Sequence Detection System, using the SYBR Green kit (Applied Biosystems). The primers used are listed in Table 3. Relative transcript levels were determined using β-actin as the endogenous control gene.

Table 3
Table 3
Image Tools
Back to Top | Article Outline
Protein Detections

Snap-frozen biopsy specimens were homogenized in ice-cold lysis buffer and the protein concentration was determined by the Bradford assay (Bio-Rad Laboratories, Hercules, CA). Equal amounts of proteins were loaded in each lane and run on sodium dodecyl sulfate-polyacrylamide gel electrophoresis under reducing conditions. Proteins were transferred to a polyvinylidene difluoride membrane (Amersham, Little Chalfont, UK). Anti-human activating transcription factor 3 (ATF3) and anti-human hypoxia-inducible transcription factor-1α (HIF1α) polyclonal antibodies (Santa Cruz Biotechnology, Santa Cruz, CA) were used as primary antibodies. Goat anti-rabbit antibody conjugated to horseradish peroxidase (Santa Cruz) was used as a secondary antibody. Specific signals were detected using the ECL reagents (Amersham, Biosciences Europe GmbH, Freiburg, Germany) for chemiluminescence. The anti-β-actin monoclonal antibody (Sigma, St Louis, MO) was used to control the equivalence of protein loading for total extracts. Densitometrical analysis of the blots was performed by a GS-700 densitometer (Bio-Rad) using the Software Quantity One (Bio-Rad).

Back to Top | Article Outline
Cell Line and Culture Conditions

The human colon adenocarcinoma cell line Caco2 was obtained from American Type Culture Collection (Rockville, MD). Caco2 cells were grown in Eagle's minimum essential medium (Sigma, St Louis, MO) and supplemented with 10% fetal bovine serum, 2 mmol/L L-glutamine, 1% nonessential amino acids, and 1% penicillin/streptomycin. Cytokine inductions were performed by treating cells at 70% of confluence with cytomix (10 ng/mL of tumor necrosis factor-α and 1000 U/mL of interferon [INF]-γ, Peprotech, Inalco, Milan, Italy) for different times. Hypoxia was induced by adding to medium 200 μmol/L of cobalt chloride (Sigma). Dimethylthiazol-diphenyltetrazolium bromide (MTT) assay was used to check cell viability after treatments, according to manufacturer instructions (Sigma).

Back to Top | Article Outline
Statistical Analysis

All of the experiments on tissues and cell lines were repeated 3 times. Statistically significant differences between control and IBD samples were determined using a Mann-Whitney U test. A P value <0.05 was considered significant.

Back to Top | Article Outline

RESULTS

Expression Profiles of the CD Colonic Mucosa

The messenger RNA (mRNA) pooled from colonic tissue samples of the CD1, CD2, and CD3 patients and 3 healthy controls was used for gene expression profiling. We used RNA from whole colonic mucosa, which comprises heterogeneous cell types, aiming at gaining a global and representative insight into cellular changes associated with CD pathogenesis. Both uninflamed and inflamed colonic mucosa samples were collected from patients and controls. The array includes 84 transcription factors downstream of signaling from cytokines and chemokines; growth factors such as BMP, EGF, IGF, insulin, PDGF, TGF-β, TPO, and VEGF; and signaling from androgen, B-cell, G-protein-coupled, T-cell, and Toll-like receptors. The array also includes target transcription factors in signal transduction pathways such as JAK/STAT, JNK, and other MAP kinases; NF-κB; Notch; and WNT. A 2.5-fold cutoff was applied to identify genes that were consistently upregulated in patients with CD as compared with healthy controls. At this cutoff level, 40 genes were found to be significantly upregulated (P < 0.01) between inflamed colonic mucosa of patients with CD and controls (Fig. 1A). Of these 40 genes, 17 transcripts were also identified as differentially regulated at a significant level (P < 0.01) between uninflamed colonic mucosa of patients with CD and normal controls (Fig. 1B). STAT1 and ATF3 were the most upregulated genes in inflamed tissue (-fold change = 13.7 and 13.0, respectively). STAT1 was also the most activated transcription factor in uninvolved mucosa (-fold change = 7.2), whereas ATF3 did not show changes in these areas. The differential expression and the functional groups of all overactivated transcription factors are shown in Table 4.

Figure 1
Figure 1
Image Tools
Table 4
Table 4
Image Tools
Back to Top | Article Outline
RT-PCR Validation of Selected Transcripts

RT-PCR on 10 selected transcripts was used for the validation of expression microarray results. Genes were selected on the basis of their high expression level (-fold change ≥5) and their unknown role in CD: STAT1, ATF3, SMAD9, IFN-regulatory factor-1 (IRF1), HIF1α, C/EBPβ, ETS2, E2F6, FOXA2, and JUND. The mRNA expression analysis was performed on either colonic and ileal districts in involved and uninvolved areas, and the population of 3 subjects used for microarray studies was increased to 28 patients with CD (Table 1), 15 patients with UC (Table 2), and 20 controls. Although some expected individual variability was observed, all 10 tested transcription factors were found significantly upregulated (P < 0.05) in the inflamed colonic and ileal mucosa of patients with CD as compared with healthy controls (Fig. 2A). No statistical differences between colonic and ileal expression level for these selected transcription factors were found. Four of them (STAT1, HIF1α, IRF1, and SMAD9) resulted to be upregulated (P < 0.05) also in the uninflamed mucosa of patients with CD (Fig. 2B). Due to the low number of biopsies taken from patients, uninflamed tissue includes either ileal or colonic districts. These data were in agreement with the microarrays results. The same 10 transcription factors were also analyzed in patients with UC; 4 of them (ATF3, HIF1α, FOXA2, and STAT1) were significantly upregulated in the inflamed, whereas only 2, HIF1α and STAT1, in the uninflamed colon (Fig. 2C, D) were, as compared with healthy controls.

Figure 2
Figure 2
Image Tools
Back to Top | Article Outline
ATF3 and HIF1α Protein Expression in Mucosal Biopsies

Two overexpressed genes were selected for their emerging role in inflammatory response and for their recently reported functional interaction with NF-κB, the master regulator of immune response: ATF3 (14) and HIF1α (15). To assess whether a protein overexpression was following their transcriptional upregulation, Western blot assay was performed in ileal and colonic protein extracts of patients with CD and controls. Protein levels of both genes also exhibited significant increases (P < 0.05) in affected ileal and colonic mucosa of patients with CD as compared with controls, whereas in unaffected mucosa only HIF1α were significant upregulated, thus confirming the results of RT-PCR analysis (P < 0.05) (Fig. 3).

Figure 3
Figure 3
Image Tools
Back to Top | Article Outline
ATF3 and HIF1α Protein Expression in Caco2 Cell Line

To assess whether these 2 genes responded to inflammatory stimuli, the human cell line Caco2, a model of the intestinal barrier, was treated with cytomix (TNF-α and INF-γ), and in a separate experiment, with cobalt chloride (CoCl2) to induce hypoxia. A combined treatment with cytokines and CoCl2 was also performed. ATF3 and HIF1α protein expression were detected after 3, 6, and 24 hours of treatment by Western blot experiments. After cytokines induction, ATF3 protein level significantly increased after 3 hours and remained at the same level for 24 hours, whereas HIF1α increases significantly only after 24 hours (Fig. 4A). In hypoxic conditions, ATF3 showed a maximum increase after 24 hours (3.8-fold), whereas HIF1α steeply increased after 3 hours of treatment, with a maximum after 6 hours (6.7-fold) (Fig. 4B). Combined treatment with cytokines and CoCl2 had an additive effect on expression of both genes, but at different time points: HIF1α presented a maximum increase after 3 hours of treatment (6.2-fold), and then rapidly decreased, whereas ATF3 progressively increased up to 5.6-fold, after 24 hours (Fig. 4C). Increased levels were considered significant when P < 0.05. No significant decrease in cell viability, measured by MTT assay, was detected after 24 hours of treatment with cytomix or hypoxia (viability 100% and 95%, respectively), whereas a slight decrease of viability (viability 82%) was found only after the combined treatment.

Figure 4
Figure 4
Image Tools
Back to Top | Article Outline

DISCUSSION

The objective of this investigation was to analyze a large repertoire of transcription factors and elucidate all differentially regulated factors in the mucosal biopsies of pediatric patients with CD, using PCR microarrays. With this approach we aimed at identifying new expression patterns associated with IBD and eventually to individuate novel markers of inflammation and candidates for gene therapy. It is worth noting that there are relatively few studies, especially in pediatrics, using microarrays technology that is directly applied to IBD biopsies (16–19).

It is remarkable that most of the transcription factors analyzed by microarrays were upregulated in involved colonic areas; interestingly, a subset of them was also upregulated in uninvolved colonic areas of the patients. It was particularly attractive to select 10 genes from those showing the highest levels of mRNA expression and perform a more detailed analysis by quantitative RT-PCR; for this purpose more subjects were recruited, including patients with UC, and other intestinal districts such as ileum were analyzed. At microarray, STAT1 was the most upregulated gene both in inflamed and in uninflamed tissue (-fold change of 13.8 and 7.2, respectively) as compared with controls. This was not unexpected because STAT1 is a component of the activators of transcription family (STAT) playing a critical role in the transcriptional response to cytokines, albeit the specific role of each member of the family remains somewhat unclear (20). STAT1 seems to be specifically involved in INFs signaling also by an interaction with IRF1, a gene involved in innate and adaptive immune responses and overactivated in our experiments in patients with CD (21).

ATF3, SMAD9, and HIF1α were also markedly upregulated in inflamed colonic and ileal mucosa of patients with CD as compared with controls; SMAD9 and HIF1α were also active in uninflamed tissue. These genes are usually involved in immune reactions, but their role in IBD has still to be clarified. ATF3 is able to respond to a variety of stress signals (14), SMAD9 belongs to a family of regulators of TGF-β signaling (22), whereas HIF1α is a subunit of HIF, a principal regulator of cell response to hypoxia (15).

There are other transcription factors with a known role in immunity; however, their involvement in IBD has not been explored. C/EBP-β is an important regulator of genes involved in immune and inflammatory responses and has been shown to regulate IL-6 production in human enterocytes (23). FOXA2 is involved in goblet cell differentiation and in regulation of intestinal epithelial mucin expression (24). ETS2, a member of a family of 29 transcription factors activated by proinflammatory cytokines, growth factors, and vasoactive peptides, is overexpressed in a number of inflammatory/autoimmune diseases (25). JUND is a member of the Jun family of proteins, which are primary components of the activator protein 1 (AP-1) transcription factor: it plays a critical role in maintaining epithelial barrier function (26), is a negative regulator of T-cell activation, and controls cytokines expression (27). E2F6 is a potent transcriptional repressor playing important roles in cell cycle regulation and proliferation; however, its role in immune/inflammatory diseases is still unknown (28). In patients with UC, a distinctive gene expression pattern was obtained: in the inflamed colon 4 transcription factors (ATF3, HIF1α, FOXA2, and STAT1) were upregulated and 2 of these (HIF1α and STAT1) were activated in the uninflamed colon. Surprisingly, transcription factors SMAD9, C/EBPβ, and IRF1, strongly activated in CD, did not vary in UC, suggesting that different molecular mechanisms underlie the pathogenesis of these 2 entities and that subsets of genes differentially expressed could be used in the future as distinctive markers of CD or UC.

An interesting aspect of this study was the significant increase in the expression of several genes in the unaffected mucosa of patients with CD as compared with controls. The most expressed transcription factors in these tissues were STAT1, HIF1α, IRF1, and SMAD9. This suggests that intestinal inflammation in CD, despite absence of obvious endoscopic and histological alterations, can be activated at the molecular level. This also suggests involvement of these genes in the early phases of the disease, thus investigating their signaling pathways could be a promising target for innovative therapeutic interventions.

Recently, inflammation has been described as a multicomponent response to tissue stress, injury, and infection, consisting of sequential activation of multiple gene sets or transcriptional modules that are coordinately regulated by dedicate transcription factors (29). Some factors belong to the primary response gene group, such as NF-κB and IRF1, whereas others, such as ATF3 and C/EBP-β, appear to be activated in a secondary response. This could explain the differential expression of transcription factors in affected and unaffected mucosal areas as compared with controls. Indeed, IRF1, SMAD9, STAT1, and HIF1α, which were activated both in involved and in uninvolved CD tissues, could be thought to belong to the primary response and suggested as early markers of the disease; ATF3 and C/EBP-β, which are activated only in CD inflamed tissues, could be involved in a secondary response of the inflammatory process and considered specific markers of inflammation.

In the second part of the study, our interest was focused on 2 transcription factors, recently found to be involved in immunity and functionally related to NF-κB, the master regulatory factor of inflammatory response (30–32): ATF3 and HIF1α. They were markedly overexpressed in the inflamed intestinal mucosa of children with active IBD. HIF1α was activated also in uninvolved areas of the intestine. This upregulation involves both mRNA and protein expression, indicating that their regulation was mainly at the transcriptional level. The present study is the first demonstration of the strong involvement of these 2 transcription factors in the pathogenesis of IBD and could represent a stimulus to further elucidate their role.

ATF3 is a member of the CREB family of basic leucin zipper transcription factors with a still obscure biological role: it has been shown as a transcriptional activator or repressor, depending on the cell type and stimulus (14). ATF3 expression is maintained at low levels in quiescent cells but is greatly induced by a variety of stress signals in vivo and in vitro (33). This transcription factor has recently been identified as a potent negative regulator of the inflammatory response in macrophages, where it antagonizes NF-κB-induced responses (34,35). The role of ATF3 in immune responses has only recently been described; indeed, ATF3 is able to negatively regulate transcription of lipopolysaccharide-induced proinflammatory cytokines such as IL-6 and IL-12 (34). Our results show for the first time the involvement of ATF3 in the inflammatory process of IBD, although its exact role remains to be clarified.

HIF1α is a subunit of HIF, the main transcription factor activated by hypoxia. Inflamed intestinal mucosa is characterized by a reduced oxygen levels when compared with healthy mucosa (36,37). An interdependency between HIF1α and NF-κB in inflammation has recently been demonstrated (30): activation of the NF-κB pathway leads to transcriptional upregulation of HIF1 mRNA expression, and hypoxia, by modulation of IκB kinase, activates NF-κB signaling (31). Few and controversial studies have explored the role of HIF1α in the IBD mechanisms. A protective role of HIF1α has been reported in murine experimental colitis (38,39); however, a study of Shah et al (40) demonstrated that a chronic increase in HIF signaling in murine colon epithelial cells worsens disease progression. In our study, HIF1α is strongly activated both in inflamed and uninflamed tissue of CD and UC, suggesting a role for this gene in the early phases of disease.

ATF3 and HIF1α are also known to be activated by TGF-β, a pluripotent cytokine that regulates epithelial tissue homeostasis and, by increasing DNA binding activity of HIF1α, upregulates vascular endothelial growth factor (41), suggesting a role for these genes in an enhanced regulatory immune response and in angiogenesis, a condition of chronic inflamed mucosa.

To support involvement of the 2 genes in the inflammatory process, in vitro experiments were performed on Caco2, a cell line representing a model of intestinal epithelium. Both genes responded to proinflammatory stimuli as cytokines and hypoxia and the response appeared to be directly proportional to the intensity of stimuli. Indeed, an additive effect of the combined treatment was shown, but at different time points: ATF3 presented a late response compared with HIF1α. Although additional studies are needed, in particular to elucidate the cross-talk between these 2 genes and NF-κB signaling, we propose ATF3 and HIF1α as novel candidates involved in the pathogenesis of IBD.

In conclusion, the present study shows for the first time to the authors’ knowledge overactivation of most transcription factors in inflamed and uninflamed intestinal mucosa of pediatric patients with IBD. These results can open new perspectives in the knowledge of disease mechanisms, leading to the identification of specific markers of inflammation and therapeutic targets.

Back to Top | Article Outline

REFERENCES

1. Bouma G, Strober W. The immunological and genetic basis of inflammatory bowel disease. Nat Rev Immunol 2003; 3:521–533.

2. Arseneau KO, Tamagawa H, Pizarro TT, et al. Innate and adaptive immune responses related to IBD pathogenesis. Curr Gastroenterol Rep 2007; 9:508–512.

3. Xavier RJ, Podolsky DK. Unravelling the pathogenesis of inflammatory bowel disease. Nature 2007; 448:427–434.

4. Podolsky DK. Inflammatory bowel disease. N Engl J Med 2002; 347:417–429.

5. Peng SL. Transcription factors in the pathogenesis of autoimmunity. Clin Immunol 2004; 10:112–123.

6. Atreya I, Atreya R, Neurath MF. NF-kB in inflammatory bowel disease. J Intern Med 2008; 263:591–596.

7. Ghosh S, Hayden MS. New regulators of NF-kB in inflammation. Nat Rev Immunol 2008; 8:837–848.

8. Stronati L, Negroni A, Merola P, et al. Mucosal NOD2 expression and NF-kappaB activation in pediatric Crohn's disease. Inflamm Bowel Dis 2008; 14:295–302.

9. Bousvaros A, Morley-Fletcher A, Pensabene L, et al. Research and clinical challenges in paediatric inflammatory bowel disease. Dig Liver Dis 2008; 40:32–38.

10. Inflammatory Bowel Disease Group of ESPGHAN. Inflammatory bowel disease in children and adolescents: recommendations for diagnosis—the Porto criteria. J Pediatr Gastroenterol Nutr 2005;41:1–7.

11. Hyams JS, Mandel F, Ferry GD, et al. Development and validation of a pediatric Crohn's disease activity index. J Pediatr Gastroenterol Nutr 1991; 12:439–447.

12. Turner D, Otley AR, Mack D, et al. Development, validation, and evaluation of a pediatric ulcerative colitis activity index: a prospective multicenter study. Gastroenterology 2007; 133:423–432.

13. Satsangi J, Silverberg MS, Vermeire S, et al. The Montreal classification of inflammatory bowel disease: controversies, consensus, and implications. Gut 2006;55:749–53.

14. Thomson MR, Xu D, Williams BR. ATF3 transcription factor and its emerging roles in immunity and cancer. J Mol Med 2009; 87:1053–1060.

15. Weidemann A, Johnson RS. Biology of HIF-1α. Cell Death Differ 2008; 15:621–627.

16. Noble CL, Abbas AR, Cornelius J, et al. Regional variation in gene expression in the healthy colon is dysregulated in ulcerative colitis. Gut 2008; 57:1398–1405.

17. Carey R, Jurickova I, Ballard E, et al. Activation of an IL-6: STAT3-dependent transcriptome in pediatric-onset inflammatory bowel disease. Inflamm Bowel Dis 2008; 14:446–457.

18. Kader HA, Tchernev VT, Satyaraj E, et al. Protein microarray analysis of disease activity in pediatric inflammatory bowel disease demonstrates elevated serum PLGF, IL-7, TGF-beta1, and IL-12p40 levels in Crohn's disease and ulcerative colitis patients in remission versus active disease. Am J Gastroenterol 2005; 100:414–423.

19. Lawrence IC, Fiocchi C, Chakravarti S. Ulcerative and Crohn's disease: distinctive gene expression profiles and novel susceptibility candidate genes. Hum Mol Genet 2001; 10:445–456.

20. Schreiber S, Rosenstiel J, Hampe S, et al. Activation of signal transducer and activator of transcription (STAT)1 in human chronic inflammatory bowel disease. Gut 2002; 51:379–385.

21. Yarilina A, Park-Min KH, Antoniv T, et al. TNF activates an IRF1-dependent autocrine loop leading to sustained expression of chemokines and STAT1-dependent type I interferon-response genes. Nat Immunol 2008; 9:378–387.

22. Monteleone G, Kumberova A, Croft NM, et al. Blocking Smad7 restores TGF-beta1 signaling in chronic inflammatory bowel disease. J Clin Invest 2001; 108:601–609.

23. Hungness ES, Luo GJ, Pritts TA, et al. Transcription factors C/EBP-beta and -delta regulate IL-6 production in IL-1beta-stimulated human enterocytes. J Cell Physiol 2002; 192:64–70.

24. Ye DZ, Kaestner KH. Foxa1 and Foxa2 control the differentiation of goblet and enteroendocrine L- and D-cells in mice. Gastroenterology 2009; 137:2052–2062.

25. Trojanowska M. Ets factors and regulation of the extracellular matrix. Oncogene 2000; 18:6464–6471.

26. Chen J, Xiao L, Rao JN, et al. JunD represses transcription and translation of the tight junction protein zona occludens-1 modulating intestinal epithelial barrier function. Mol Biol Cell 2008; 19:3701–3712.

27. Meixner A, Karreth F, Kenner L, et al. JunD regulates lymphocyte proliferation and T helper cell cytokine expression. EMBO J 2004; 23:1325–1335.

28. Kherrouche Z, De Launoit Y, Monté D. Human E2F6 is alternatively spliced to generate multiple protein isoforms. Biochem Biophys Res Commun 2004; 317:749–760.

29. Medzhitov R, Horng T. Transcriptional control of the inflammatory response. Nat Immnunol 2009; 9:692–702.

30. Taylor CT. Interdependent roles for hypoxia inducible factor and nuclear factor-kB in hypoxic inflammation. J Physiol 2008; 586:4055–4059.

31. Rius J, Guma M, Schachtrup C, et al. NF-kB links innate immunity to the hypoxic response through transcriptional regulation of HIF-1α. Nature 2008; 453:807–812.

32. Litvak V, Ramsey SA, Rust AG, et al. Function of C/EBPδ in a regulatory circuit that discriminates between transient and persistent TLR4-induced signals. Nat Immunol 2009; 10:437–443.

33. Hai T, Wolfgang CD, Marsee DK, et al. ATF3 and stress responses. Gene Expr 1999; 7:321–335.

34. Gilchrist M, Henderson WR Jr, Clark AE, et al. Activating transcription factor 3 is a negative regulator of allergic pulmonary inflammation. J Exp Med 2008; 205:2349–2357.

35. Gilchrist M, Thorsson V, Li B, et al. Systems biology approaches identify ATF3 as a negative regulator of Toll-like receptor 4. Nature 2006; 441:173–178.

36. Hauser CJ, Locke RR, Kao HW, et al. Visceral surface oxygen tension in experimental colitis in the rabbit. J Lab Clin Med 1988; 112:68–71.

37. Taylor CT, Colgan SP. Hypoxia and gastrointestinal disease. J Mol Med 2007; 85:1295–1300.

38. Karhausen J, Furuta GT, Tomaszewski JE, et al. Epithelial hypoxia-inducible factor-1 is protective in murine experimental colitis. J Clin Invest 2004; 114:1098–1106.

39. Furuta GT, Turner JR, Taylor CT, et al. Hypoxia-inducible factor 1-dependent induction of intestinal trefoil factor protects barrier function during hypoxia. J Exp Med 2001; 193:1027–1034.

40. Shah YM, Ito S, Morimura K, et al. Hypoxia-inducible factor augments experimental colitis through an MIF-dependent inflammatory signaling cascade. Gastroenterology 2008; 134:2036–2048.

41. Shih SC, Claffey KP. Role of AP-1 and HIF-1 transcription factors in TGF-beta activation of VEGF expression. Growth Factors 2001; 19:19–34.

Cited By:

This article has been cited 2 time(s).

Plos One
The Stimulatory Adenosine Receptor ADORA2B Regulates Serotonin (5-HT) Synthesis and Release in Oxygen-Depleted EC Cells in Inflammatory Bowel Disease
Damen, R; Haugen, M; Svejda, B; Alaimo, D; Brenna, O; Pfragner, R; Gustafsson, BI; Kidd, M
Plos One, 8(4): -.
ARTN e62607
CrossRef
Immunological Reviews
Metabolic control of the Treg/Th17 axis
Barbi, J; Pardoll, D; Pan, F
Immunological Reviews, 252(): 52-77.
10.1111/imr.12029
CrossRef
Back to Top | Article Outline
Keywords:

Crohn disease; inflammation; microarray; transcription factors; ulcerative colitis

Copyright 2011 by ESPGHAN and NASPGHAN

Login

Article Tools

Images

Share

Search for Similar Articles
You may search for similar articles that contain these same keywords or you may modify the keyword list to augment your search.

Connect With Us

 

 

Twitter

twitter.com/JPGNonline

 

Visit JPGN.org on your smartphone. Scan this code (QR reader app required) with your phone and be taken directly to the site.