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Journal of Pediatric Gastroenterology & Nutrition:
doi: 10.1097/MPG.0b013e3182769748
Original Articles: Hepatology and Nutrition

Monotonous Diets Protect Against Acute Colitis in Mice: Epidemiologic and Therapeutic Implications

Nagy-Szakal, Dorottya*; Mir, Sabina A.V.*; Ross, Matthew C.; Tatevian, Nina; Petrosino, Joseph F.; Kellermayer, Richard*

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Author Information

*Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Texas Children's Hospital

Department of Molecular Virology and Microbiology, Alkek Center for Metagenomics and Microbiome Research, Human Genome Sequencing Center

Department of Pathology and Laboratory Medicine, The University of Texas Health Science Center, Houston, TX.

Address correspondence and reprint requests to Richard Kellermayer, Section of Pediatric Gastroenterology, Hepatology, and Nutrition, Baylor College of Medicine, Texas Children's Hospital, 6621 Fannin St, CC1010.00, Houston, TX 77030–2399 (e-mail: kellerma@bcm.edu).

Received 18 June, 2012

Accepted 27 September, 2012

R.K. was supported in part by the Broad Medical Research Program, the Broad Foundation (IBD-0252); the Child Health Research Career Development Agency of the Baylor College of Medicine (NIH # 5K12 HD041648); and a Public Health Service grant DK56338, funding the Texas Medical Center Digestive Diseases Center.

The authors report no conflicts of interest.

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Website (www.jpgn.org).

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Abstract

Objectives: Multiple characteristics of industrialization have been proposed to contribute to the global emergence of inflammatory bowel diseases (IBDs: Crohn disease and ulcerative colitis). Major changes in eating habits during the last decades and the effectiveness of exclusive enteral nutrition in the treatment of Crohn disease indicate the etiologic importance of dietary intake in IBDs. A uniform characteristic of nutrition in developing countries (where the incidence of IBD is low) and exclusive enteral nutrition is their consistent nature for prolonged periods; however, the potentially beneficial effect of dietary monotony in respect to mammalian intestinal inflammation has not been examined.

Methods: The association between alternating (2 different complete chows) and persistent regular diets, and dextran sulfate sodium colitis susceptibility in C57BL/6J mice was studied. Colonic mucosal microbiota changes were investigated by high-throughput pyrosequencing of the 16S rRNA gene.

Results: The severity of colitis increased upon dietary alternation compared with consistent control feeding. The microbiota of the alternating nutritional group clustered discretely from both control groups.

Conclusions: Our findings highlight that monotonous dietary intake may decrease mammalian vulnerability against colitis in association with microbiota separation. The epidemiologic and therapeutic implications of our results are also discussed.

Inflammatory bowel diseases (IBDs), including Crohn disease (CD) and ulcerative colitis (UC), are chronic intestinal disorders affecting >4 million people (1). IBD is recognized to develop secondary to an exaggerated immune response against microbial components of the gut, which is transmitted by the mucosa and is modulated by genetic susceptibility and environmental triggers (2). The worldwide emergence of IBD (1) and the high monozygotic discordance rates for the disorders (3) suggest that environmental (including nutritional) factors may be even more or at least as important for their development than genetic susceptibility. The effectiveness of nutritional therapy in the treatment of CD further supports the relevance of dietary influences in IBD. Importantly, exclusive enteral nutrition (EEN) can induce partial or complete remission in up to 89% of newly diagnosed and in 50% of relapsed pediatric CD patients (4,5). In the meantime, EEN has not been systematically examined in the treatment of UC, but some studies indicate its potential efficacy (6,7).

Meta-analyses show that there is limited difference between EEN and first-line steroid therapy in pediatric CD trials (8); however, expanded investigations revealed that the effectiveness of steroid therapy in respect to clinical remission induction for active CD appears to be higher than for EEN, especially in adult studies (9,10). In the meantime, EEN does not have major adverse effects compared with the frequently applied steroids in CD, and can even improve nutritional status and quality of life (11). This nutritional therapy has direct anti-inflammatory properties (12), but the mechanism of action of EEN is unknown. Multiple hypotheses have been generated to explain its efficacy, including decreased dietary antigen exposure, overall nutritional repletion, correction of intestinal permeability, decreased inflammatory mediator production by reduced fat intake, and delivery of important micronutrients to the diseased intestine (13); however, the majority of these hypotheses are not supported by the clinical observations. Polymeric formulas are as effective as elemental (ie, no difference in effectiveness with different antigen loads), fat content of diet does not influence efficacy (9), additives such as glutamine do not modify outcome (14), and significant improvement of inflammatory parameters precede changes in host nutritional parameters (ie, independent efficacy from nutritional replenishment) (15). Interestingly, the possible beneficial effect of EEN arising from its monotonous (consistent) nature has not been entertained, although this is a common feature of both the polymeric and elemental formulas used with success.

It is presently accepted that gut microbiota composition may play a major role in the development of IBD (16,17). The influence of EEN on intestinal microbiota in CD has been shown to be prominent (18). Based on these findings, the possibility for EEN to induce remission of CD through microbial composition modulation has been proposed; however, the details on how such modulation occurs have not been examined.

In the present study, we investigated whether monotonous diets may provide protection against acute colitis in a murine model of IBD (dextran sulfate sodium [DSS] exposure). The effects of limited but repetitive dietary variation on colonic mucosal microbiota composition were also studied. Our results indicate that the increased nutritional diversity of the developed world may contribute to the emergence of IBD.

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METHODS

Animals and Tissue Collection

C57BL/6J male mice (Jackson Laboratories, Bar Harbor, ME) were used in the study. Mice were randomly assigned at 50 days postnatal age (P50) to 2 different standard rodent diets ad libitum: regular chow (R) and NIH-31 diet (2920X and 7017, Harlan-Teklad, Madison, WI). These chows have limited composition differences (supplemental Table 1, http://links.lww.com/MPG/A180). A third group of mice received both diets in an alternating fashion. Our primary goal was to diversify the nutrition of the mice receiving the alternating diet without increasing antigen exposure. In the meantime, we cannot absolutely rule out that the animals receiving the alternating diet were not exposed to increased amounts of antigen, although the protein source of the 2 chows was the same from the same company, and the same batches of the chows were used throughout the experiments. The dietary alternation was done every 2 to 3 days from P50 to P70 (total of 9 switches). Total body weight was followed sequentially during the feeding protocol as well (supplemental Fig. 1, http://links.lww.com/MPG/A181). There were no significant differences in body weight gain between the groups from P50 to P70. Three weeks after the initiation of the dietary regimens, the mice were either exposed to DSS or euthanized by CO2 asphyxiation for the collection of colonic mucosal scrapings. The colons were placed on ice, transected longitudinally, cleansed from feces, washed with ice cold normal saline, followed by the collection of colonic mucosa with a microscope slide (19) (excluding the cecum). The mucosal scrapings were flash frozen on dry ice, and stored at −80oC as described earlier (20). The protocol was approved by the institutional animal care committee for Baylor College of Medicine.

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DSS Exposure

The standard rodent diets and the dietary alternation were continued for the mice during the DSS challenge. Susceptibility to colitis was tested by administering 3% DSS (mol wt 36,000–50,000; MP Biomedicals, Solon, OH) in drinking water and provided ad libitum for 5 days, followed by regular water exposure for an additional 4 days. This molecular weight of DSS has been shown to induce colonic inflammation in previous work (21). The animals were weighed daily and colons were collected following CO2 asphyxiation at day 9.

Colons were longitudinally transected and processed for standard hematoxylin-eosin staining after fixation in 10% formaldehyde. Histological severity of inflammation was determined by a blinded pathologist based upon a colitis scoring system modified from Albert et al (22) (including the percentage of the damaged area) (Table 1).

Table 1
Table 1
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DNA Extraction for Microbial Studies

Mucosal scrapings were centrifuged at 14,000 rpm for 30 seconds and resuspended in 500-μL RNeasy Lysis buffer (Qiagen, Valencia, CA) (with β-mercaptoethanol). Sterile 5-mm steel beads (Qiagen) and 500-μL sterile 0.1-mm glass beads (Scientific Industries, Bohemia, NY) were added for complete bacterial lyses in a Qiagen Tissue Lyser (Qiagen), run at 30 Hz for 5 minutes. Samples were centrifuged briefly and 100 μL of 100% ethanol was added to a 100-μL aliquot of the sample supernatant. This mixture was added to a DNA spin column, and DNA recovery protocols were followed as instructed in the QIAamp DNA Mini Kit (Qiagen) starting at step 5 of the tissue protocol. DNA was eluted and diluted to a final concentration of 20 ng/μL.

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Massively Parallel bTEFAP

Bacterial tag–encoded FLX-Titanium amplicon pyrosequencing (bTEFAP) was performed as described previously (23). bTEFAP uses Titanium reagents and procedures, and a 1-step polymerase chain reaction, mixture of Invitrogen AccuPrime Taq Polymerase (Life Technologies, Grand Island, NY), and amplicons originating from the 357R to 926F region numbered in relation to Escherichia coli 16S rRNA. The bTEFAP procedures were performed at the Petrosino laboratory (Houston, TX). We considered sequences associated with at least genus information to be well classified. Sequences with identity scores (to known or well-characterized 16S rRNA sequences) >97% (<3% divergence) were resolved at the species level, between 95% and 97% at the genus level, between 90% and 95% at the family and between 85% and 90% at the order level, between 80% and 85% at the class level, and below this to the phylum. Reads that could not be assigned with a bootstrap confidence >80% were placed into an artificial “unclassified” taxon.

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Bacterial Diversity Data Analysis

Raw 454 sequence data was processed using a combination of software tools. Multiplexed reads were assigned to their originating samples, quality trimmed (average ≥25, no barcode mismatches allowed), and filtered (minimum length 200, no homopolymers >10 bp, maximum number of ambiguous bases per read 1) using mothur (24). Trimmed reads were then normalized across all samples using an in-house script designed to randomly choose a user-specified number of reads from each sample. In this experiment, 15,000 reads per sample were chosen. These normalized read sets were then subjected to operational taxonomic unit (OTU)-based analysis using CloVR (25). CloVR is an application that integrates multiple state-of-the-art analysis tools into a single program. Chimeric sequences were detected and removed via UCHIME (26), phylogenetic distance metrics were generated by QIIME (OTU defined as 97% identity) (27), and statistics were generated by Metastats (28). Metastats uses the nonparametric t test, Fisher exact test, and the false discovery rate to generate a prioritized list of OTUs that define observed differences between 2 user-defined populations. The q value is the adjusted P value based on false discovery rate calculation. Machine learning was performed using the Genboree Metagenomics Toolset, a suite of bioinformatics tools put together by the Bioinformatics Research Laboratory at Baylor College of Medicine (29). This toolkit uses Random Forrest and Boruta (30) to identify the features responsible for driving the separation of 2 distinct communities.

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Statistical and Bioinformatic Analyses

For the bioinformatic analysis of the microbiota data, please see the paragraphs above. Unpaired, 2-tailed t tests were used in the group comparisons where statistical significance was declared at P < 0.05. Error bars represent standard error of the mean.

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RESULTS

Increased Severity of DSS Colitis on Alternating Diet

The effect of alternating 2 different control diets on chemically induced (DSS) colitis in C57BL/6J mice was examined. Weight loss is usually a reliable measure of colitis severity in this model. Nine days after initiating DSS, the alternating group lost significantly more weight compared with one of the controls (regular chow: R) (P < 0.05). The other control group (NIH-31) diet showed improvement in body weight as well compared with the switching (SW) group, but this did not reach statistical significance (Fig. 1). Mice receiving the alternating diet had significantly more tissue damage than the controls (Fig. 2; SW vs R: P = 0.0046; SW vs NIH-31: P < 0.0001).

Figure 1
Figure 1
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Figure 2
Figure 2
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Dietary Alternation Reduced Microbiota Diversity
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Studies suggest that microbiota diversity is reduced in CD and UC (see Discussion). Therefore, we examined the effect of the dietary alternation on murine microbiota diversity in independent experiments from the DSS challenge. There was a tendency for decreased colonic mucosal microbiota diversity in the switching group (Fig. 3, SW vs R: P = 0.055; SW vs NIH-31: P = 0.125).

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Microbiota Separation following Dietary Alternation
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Principal component analysis showed separation between the 3 different diet groups. The dietary alternation microbiota clustered discretely from both control groups (Fig. 4). Four phyla (Archaea_Other, Bacteria_Actinobacteria, Bacteria_Other, Bacteria_Tenericutes) differed by t test between the switching and the R group. Meanwhile, there was 1 (Bacteria_Bacteriodetes) difference between the SW and the NIH-31 dietary group (P < 0.05, Table 2; supplemental Fig. 2 [http://links.lww.com/MPG/A181]).

There was a trend for an increase in Tenericutes in SW compared with both control dietary groups (SW vs R: P = 0.0477; SW vs NIH-31: P = 0.055; supplemental Fig. 2 [http://links.lww.com/MPG/A181]). Eight genera (Lachnospiraceae_Bryantella, Archaea_Other, Bifidobacteriales_Bifidobacteriaceae, Erysipelotrichaceae_Allobaculum, Staphylococcaceae_Staphylococcus, Erysipelotrichaceae_Other, Erysipelotrichaceae_Coprobacillus, Bacteria_Other) differed between SW and R, and 10 genera (Incertae Sedis XIII_Anaerovorax, Ruminococcaceae_Other, Lachnospiraceae_Hespellia, Staphylococcaceae_Staphylococcus, Porphyromonadaceae_Tannerella, Clostridiales_Other, Bacteroidales_Other, Deferribacteraceae_Mucispirillum, Lachnospiraceae_Oribacterium, Lachnospiraceae_Bryantella) between SW and NIH-31. Lachnospiraceae_Bryantella and Staphylococcaceae_Staphylococcus both increased in the alternating dietary group compared with controls (P < 0.05, Table 2; supplemental Fig. 3 [http://links.lww.com/MPG/A181]).

Figure 3
Figure 3
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Only the Archaea phyla changed significantly when corrected for multiple testing that likely relates to the relatively low sample numbers in our group comparisons. Therefore, these individual taxa results only represent trends with respect to bacterial dysbiosis secondary to increased dietary diversity.

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DISCUSSION

Figure 4
Figure 4
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Table 2
Table 2
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Multiple characteristics of the tremendously changing environment (including nutrition) have been implicated as potential causes of the rising IBD incidence during the last 5 to 6 decades. Among these are pollution (31), refrigeration (32), increased hygiene (33), decreased infection with pathogenic organisms (34), and increased consumption of total fats, omega-6 fatty acids, and meat with a decreased intake of fruits, vegetables, and fiber (35). Interestingly, the increase in dietary diversity resulting from large-scale refrigeration and augmented worldwide trade (36) along with enhancing out-of-home eating habits (37) has not been blamed for the emergence of IBD. In the meantime, the success of EEN as a therapeutic modality in CD (see Introduction) emphasizes the potential etiologic importance of the latter dietary characteristic of industrialization. Some studies have suggested that higher socioeconomic status (average family income, family size, urbanization, education) may lead to a higher incidence rate of IBD (38,39). Such demographics usually associate with increased dietary diversity as well (40).

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To support these epidemiologic observations, we examined the associations between agricultural import and IBD prevalence in a middle-eastern European country (Hungary, Fig. 5). The increase in agricultural import (41) paralleled a striking rise in the prevalence of both UC and CD in this region (42), indicating a possible connection between dietary diversity and IBD. Naturally, other correlates of agricultural import increase (eg, increased antigen load), concomitant lifestyle, and environment changes may also contribute to this observation emphasizing the difficulties in drawing direct association between nutrition and disease etiology. Nevertheless, epidemiologic observations support our theory that nutritional monotony, which characterizes rural populations consuming locally produced seasonal products (43), may be protective against immune-mediated chronic forms of intestinal inflammation. The findings of this work on increased severity of chemically induced colitis in mice receiving rather modestly alternating diets further sustain this possibility.

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The commensal microbiota is a major communicator of dietary modification toward the intestinal immune system of the host and can rapidly change its composition upon nutritional challenges (44,45). A modest level of microbiota composition disturbance (or dysbiosis) and decreased diversity has been observed in IBD (46,47). Therefore, it is commonly accepted that the intestinal microbiota plays an important role in the pathogenesis of these disorders (2). In spite of the success of EEN for the treatment of CD, there is surprisingly limited information about its effects on the intestinal microbiota. Temperature gradient gel electrophoresis revealed significant fecal bacterial composition changes following EEN therapy in children with CD (18). Similarly, denaturing gel electrophoresis indicated marked shifts in mucosal bacterial populations upon EEN (48). Consistent with these observations, EEN significantly decreased fecal Enterobacteria, Bifidobacteria, Bacteroides, Clostridium coccoides, and C leptum diversity in pediatric CD (49) and Faecalibacterium prausnitzii in adult CD (50). On the contrary, EEN (control formula) in critically ill children did not influence bacterial diversity in stool following 7 days of therapy (by denaturing gel electrophoresis), but induced a trend for increase in Lactobacillus and Enterococcus sp and a decrease in Bifidobacterium sp and Enterobacteriaceae by standard culture methods (51). Therefore, it is presently difficult to make convincing conclusions about the effects of EEN on human intestinal microbiota composition. It is also unknown whether EEN has different microbiota effects in people without intestinal inflammation and in patients with IBD where dysbiosis can be present. Importantly, if approached with the concept presented here, traditional mouse models of IBD are already maintained on EEN, since they receive the same composition diet (ie, monotonous diet) day by day. In light of this concept, mice consuming the monotonous diets (control and NIH-31) represented 2 different forms of EEN “therapy” and the switching group corresponds to animals on a modest form of “industrialized” (augmented diet diversity) nutrition.

Interestingly, microbiota diversity decreased upon the alternating nutrition in the study. This would indicate increased susceptibility to inflammation in light of the decreased microbiota diversity observed in IBD (46,47); however, EEN (ie, monotonous) appears to further reduce microbiota diversity in patients with CD according to the limited (not high-throughput) investigations already discussed above (49,50). These later observations would contradict our theory that monotonous (but complete: containing all required micro- and macronutrients) diets may protect against IBD by increasing diversity and optimizing microbiota composition. In the meantime, repetitive nutrition may have differing microbiota effects under inflamed and normal intestinal conditions as supported by observations in critically ill (but devoid of intestinal inflammation) children where EEN had both diversifying and simplifying effects on bacterial taxa (51). In fact, 2-species model microbiota experiments in gnotobiotic mice indicate that modification in host diet can induce selective pressure on bacterial species depending on their fermentative capacity (52). Therefore, our findings indicate that dietary alternation may decrease microbiota diversity in mammals by providing selective advantage to bacterial strains with a broad range of metabolic competence under normal (noninflamed) conditions.

Tenericutes increased in abundance on the switching diet. There are conflicting results on this phylum in regards to murine models of IBD where Tenericutes decreased during DSS challenge (53), but increased at some point of Citrobacter rodentium infection (54). Similar to microbiota diversity, it is difficult to determine from these observations how the abundance of Tenericutes may influence colitis susceptibility under noninflamed (“normal”) conditions. Our findings would suggest that an increase in this phylum may promote vulnerability to mammalian colitis.

We found an increased abundance of the genera Bryantella and Staphylococcus upon dietary alternation. Bryantella has been observed to decrease during active DSS colitis (55); however, it has also been shown to increase upon murine C rodentium infection (56). As for Staphylococcus, our recent study revealed that it was overrepresented in mice with augmented susceptibility to DSS (57). Consequently, a higher abundance of Bryantella and Staphylococcus may induce more severe colitis upon noxious stimuli.

This article includes the first high-throughput analysis to test the effects of alternating and monotonous dietary intake on commensal microbiota composition and associated susceptibility to acute colitis in mice. Our results implicate that a consistent (monotonous) diet may have preventative effects against intestinal inflammation in mammals. The relevance of our findings in regard to the emergence of IBD upon industrialization, and for nutritionally based therapeutic modalities for the disease group must be further explored.

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REFERENCES

1. Molodecky NA, Soon IS, Rabi DM, et al. Increasing incidence and prevalence of the inflammatory bowel diseases with time, based on systematic review. Gastroenterology 2012; 142:46–54.

2. Sartor RB. Mechanisms of disease: pathogenesis of Crohn's disease and ulcerative colitis. Nat Clin Pract Gastroenterol Hepatol 2006; 3:390–407.

3. Halfvarson J. Genetics in twins with Crohn's disease: less pronounced than previously believed? Inflamm Bowel Dis 2011; 17:6–12.

4. Day AS, Whitten KE, Sidler M, et al. Systematic review: nutritional therapy in paediatric Crohn's disease. Aliment Pharmacol Ther 2008; 27:293–307.

5. Rubio A, Pigneur B, Garnier-Lengline H, et al. The efficacy of exclusive nutritional therapy in paediatric Crohn's disease, comparing fractionated oral vs. continuous enteral feeding. Aliment Pharmacol Ther 2011; 33:1332–1339.

6. Ricour C, Duhamel JF, Nihoul-Fekete C. [Use of parenteral and elementary enteral nutrition in the treatment of Crohn's disease and ulcerative colitis in children]. Arch Fr Pediatr 1977; 34:505–513.

7. Klaassen J, Zapata R, Mella JG, et al. [Enteral nutrition in severe ulcerative colitis. Digestive tolerance and nutritional efficiency]. Rev Med Chil 1998; 126:899–904.

8. Heuschkel RB, Menache CC, Megerian JT, et al. Enteral nutrition and corticosteroids in the treatment of acute Crohn's disease in children. J Pediatr Gastroenterol Nutr 2000; 31:8–15.

9. Zachos M, Tondeur M, Griffiths AM. Enteral nutritional therapy for induction of remission in Crohn's disease. Cochrane Database Syst Rev 2007:CD000542.

10. Griffiths AM, Ohlsson A, Sherman PM, et al. Meta-analysis of enteral nutrition as a primary treatment of active Crohn's disease. Gastroenterology 1995; 108:1056–1067.

11. Borrelli O, Cordischi L, Cirulli M, et al. Polymeric diet alone versus corticosteroids in the treatment of active pediatric Crohn's disease: a randomized controlled open-label trial. Clin Gastroenterol Hepatol 2006; 4:744–753.

12. Fell JM, Paintin M, Arnaud-Battandier F, et al. Mucosal healing and a fall in mucosal pro-inflammatory cytokine mRNA induced by a specific oral polymeric diet in paediatric Crohn's disease. Aliment Pharmacol Ther 2000; 14:281–289.

13. Critch J, Day AS, Otley A, et al. Use of enteral nutrition for the control of intestinal inflammation in pediatric Crohn disease. J Pediatr Gastroenterol Nutr 2012; 54:298–305.

14. Akobeng AK, Richmond K, Miller V, et al. Effect of exclusive enteral nutritional treatment on plasma antioxidant concentrations in childhood Crohn's disease. Clin Nutr 2007; 26:51–56.

15. Bannerjee K, Camacho-Hubner C, Babinska K, et al. Anti-inflammatory and growth-stimulating effects precede nutritional restitution during enteral feeding in Crohn disease. J Pediatr Gastroenterol Nutr 2004; 38:270–275.

16. Sartor RB. Key questions to guide a better understanding of host-commensal microbiota interactions in intestinal inflammation. Mucosal Immunol 2011; 4:127–132.

17. Nagy-Szakal D, Kellermayer R. The remarkable capacity for gut microbial and host interactions. Gut Microbes 2011; 2:178–182.

18. Lionetti P, Callegari ML, Ferrari S, et al. Enteral nutrition and microflora in pediatric Crohn's disease. JPEN J Parenter Enteral Nutr 2005; 29 (4 suppl):S173–S175.

19. Perret V, Lev R, Pigman W. Simple method for the preparation of single cell suspensions from normal and tumorous rat colonic mucosa. Gut 1977; 18:382–385.

20. Kellermayer R, Balasa A, Zhang W, et al. Epigenetic maturation in colonic mucosa continues beyond infancy in mice. Hum Mol Genet 2010; 19:2168–2176.

21. Kitajima S, Takuma S, Morimoto M. Histological analysis of murine colitis induced by dextran sulfate sodium of different molecular weights. Exp Anim 2000; 49:9–15.

22. Albert EJ, Marshall JS. Aging in the absence of TLR2 is associated with reduced IFN-gamma responses in the large intestine and increased severity of induced colitis. J Leukoc Biol 2008; 83:833–842.

23. Bailey MT, Walton JC, Dowd SE, et al. Photoperiod modulates gut bacteria composition in male Siberian hamsters (Phodopus sungorus). Brain Behav Immun 2010; 24:577–584.

24. Schloss PD, Westcott SL, Ryabin T, et al. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 2009; 75:7537–7541.

25. Angiuoli SV, Matalka M, Gussman A, et al. CloVR: a virtual machine for automated and portable sequence analysis from the desktop using cloud computing. BMC Bioinformatics 2011; 12:356.

26. Edgar RC, Haas BJ, Clemente JC, et al. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 2011; 27:2194–2200.

27. Caporaso JG, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods 2010; 7:335–336.

28. White JR, Nagarajan N, Pop M. Statistical methods for detecting differentially abundant features in clinical metagenomic samples. PLoS Comput Biol 2009; 5:e1000352.

29. Breiman L. “Random forests”. Mach Learn 2001; 45:5–32.

30. Miron KB, Rudnicki WR. Feature selection with the Boruta package. J Stat Softw 2010; 36:1–13.

31. Beamish LA, Osornio-Vargas AR, Wine E. Air pollution: An environmental factor contributing to intestinal disease. J Crohns Colitis 2011; 5:279–286.

32. Malekzadeh F, Alberti C, Nouraei M, et al. Crohn's disease and early exposure to domestic refrigeration. PLoS One 2009; 4:e4288.

33. Gent AE, Hellier MD, Grace RH, et al. Inflammatory bowel disease and domestic hygiene in infancy. Lancet 1994; 343:766–767.

34. Elliott DE, Weinstock JV. Helminth-host immunological interactions: prevention and control of immune-mediated diseases. Ann N Y Acad Sci 2012; 1247:83–96.

35. Hou JK, Abraham B, El-Serag H. Dietary intake and risk of developing inflammatory bowel disease: a systematic review of the literature. Am J Gastroenterol 2011; 106:563–573.

36. Schmidhuber J, Shetty P. The nutrition transition to 2030. Why developing countries are likely to bear the major burden. http://www.fao.org/fileadmin/templates/esa/Global_persepctives/Long_term_papers/JSPStransition.pdf. Published 2005. Accessed April 1, 2013.

37. Lachat C, Khanh le NB, Khan NC, et al. Eating out of home in Vietnamese adolescents: socioeconomic factors and dietary associations. Am J Clin Nutr 2009; 90:1648–1655.

38. Ponsonby AL, Catto-Smith AG, Pezic A, et al. Association between early-life factors and risk of child-onset Crohn's disease among Victorian children born 1983–1998: a birth cohort study. Inflamm Bowel Dis 2009; 15:858–866.

39. Blanchard JF, Bernstein CN, Wajda A, et al. Small-area variations and sociodemographic correlates for the incidence of Crohn's disease and ulcerative colitis. Am J Epidemiol 2001; 154:328–335.

40. Hadden WC, Pappas G, Khan AQ. Social stratification, development and health in Pakistan: an empirical exploration of relationships in population-based national health examination survey data. Soc Sci Med 2003; 57:1863–1874.

41. Szabo M. Hungarian agriculture—starting the fifth year within the European Union. www.kopint-tarki.hu/hunagr.pdf. Published 2008. Accessed April 1, 2013.

42. Lakatos L, Kiss LS, David G, et al. Incidence, disease phenotype at diagnosis, and early disease course in inflammatory bowel diseases in Western Hungary, 2002–2006. Inflamm Bowel Dis 2011; 17:2558–2565.

43. De Filippo C, Cavalieri D, Di Paola M, et al. Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa. Proc Natl Acad Sci U S A 2010; 107:14691–14696.

44. Turnbaugh PJ, Ridaura VK, Faith JJ, et al. The effect of diet on the human gut microbiome: a metagenomic analysis in humanized gnotobiotic mice. Sci Transl Med 2009; 1:6ra14.

45. Kau AL, Ahern PP, Griffin NW, et al. Human nutrition, the gut microbiome and the immune system. Nature 2011; 474:327–336.

46. Willing BP, Dicksved J, Halfvarson J, et al. A pyrosequencing study in twins shows that gastrointestinal microbial profiles vary with inflammatory bowel disease phenotypes. Gastroenterology 2010; 139:1844–1854.

47. Kellermayer R, Mir S, Nagy-Szakal D, et al. Microbiota separation and C-reactive protein elevation in treatment naïve pediatric granulomatous Crohn disease. J Pediatr Gastroenterol Nutr 2012; 53:243–250.

48. Pryce-Millar E, Murch SH, Heuschkel RB, et al. Enteral nutrition therapy in Crohn's disease changes the mucosal flora. J Pediatr Gastroenterol Nutr 2004; 39:S289.

49. Leach ST, Mitchell HM, Eng WR, et al. Sustained modulation of intestinal bacteria by exclusive enteral nutrition used to treat children with Crohn's disease. Aliment Pharmacol Ther 2008; 28:724–733.

50. Jia W, Whitehead RN, Griffiths L, et al. Is the abundance of Faecalibacterium prausnitzii relevant to Crohn's disease? FEMS Microbiol Lett 2010; 310:138–144.

51. Simakachorn N, Bibiloni R, Yimyaem P, et al. Tolerance, safety, and effect on the faecal microbiota of an enteral formula supplemented with pre- and probiotics in critically ill children. J Pediatr Gastroenterol Nutr 2011; 53:174–181.

52. Sonnenburg ED, Zheng H, Joglekar P, et al. Specificity of polysaccharide use in intestinal bacteroides species determines diet-induced microbiota alterations. Cell 2010; 141:1241–1252.

53. Nagalingam NA, Kao JY, Young VB. Microbial ecology of the murine gut associated with the development of dextran sodium sulfate-induced colitis. Inflamm Bowel Dis 2011; 17:917–926.

54. Hoffmann C, Hill DA, Minkah N, et al. Community-wide response of the gut microbiota to enteropathogenic Citrobacter rodentium infection revealed by deep sequencing. Infect Immun 2009; 77:4668–4678.

55. Heimesaat MM, Fischer A, Siegmund B, et al. Shift towards pro-inflammatory intestinal bacteria aggravates acute murine colitis via Toll-like receptors 2 and 4. PLoS One 2007; 2:e662.

56. Lupp C, Robertson ML, Wickham ME, et al. Host-mediated inflammation disrupts the intestinal microbiota and promotes the overgrowth of Enterobacteriaceae. Cell Host Microbe 2007; 2:204.

57. Schaible TD, Harris RA, Dowd SE, et al. Maternal methyl-donor supplementation induces prolonged murine offspring colitis susceptibility in association with mucosal epigenetic and microbiomic changes. Hum Mol Genet 2011; 20:1687–1696.

Cited By:

This article has been cited 1 time(s).

Orvosi Hetilap
Milestones in understanding of the pathogenesis of immunmediated intestinal disorders Development of their diagnosis and therapy
Arato, A
Orvosi Hetilap, 154(): 1512-1523.
10.1556/OH.2013.29710
CrossRef
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Keywords:

colitis; colonic inflammation; diet; enteral nutrition; inflammatory bowel disease; microbiota

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© 2013 by European Society for Pediatric Gastroenterology, Hepatology, and Nutrition and North American Society for Pediatric Gastroenterology,

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