Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-27T06:31:29.514Z Has data issue: false hasContentIssue false

Dietary folate does not significantly affect the intestinal microbiome, inflammation or tumorigenesis in azoxymethane–dextran sodium sulphate-treated mice

Published online by Cambridge University Press:  05 July 2012

Amanda J. MacFarlane*
Affiliation:
Food Directorate, Health Products and Food Branch, Health Canada, 251 Sir Frederick Banting Drive, AL 2203E, Ottawa, ON, CanadaK1A 0K9 Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada Department of Biology, Faculty of Science, Carleton University, Ottawa, ON, Canada
Nathalie A. Behan
Affiliation:
Food Directorate, Health Products and Food Branch, Health Canada, 251 Sir Frederick Banting Drive, AL 2203E, Ottawa, ON, CanadaK1A 0K9
Fernando M. G. Matias
Affiliation:
Food Directorate, Health Products and Food Branch, Health Canada, 251 Sir Frederick Banting Drive, AL 2203E, Ottawa, ON, CanadaK1A 0K9
Judy Green
Affiliation:
Food Directorate, Health Products and Food Branch, Health Canada, 251 Sir Frederick Banting Drive, AL 2203E, Ottawa, ON, CanadaK1A 0K9
Don Caldwell
Affiliation:
Food Directorate, Health Products and Food Branch, Health Canada, 251 Sir Frederick Banting Drive, AL 2203E, Ottawa, ON, CanadaK1A 0K9
Stephen P. J. Brooks
Affiliation:
Food Directorate, Health Products and Food Branch, Health Canada, 251 Sir Frederick Banting Drive, AL 2203E, Ottawa, ON, CanadaK1A 0K9 Department of Biology, Faculty of Science, Carleton University, Ottawa, ON, Canada
*
*Corresponding author: Dr A. J. MacFarlane, fax +1 613 941 6182, E-mail: amanda.macfarlane@hc-sc.gc.ca
Rights & Permissions [Opens in a new window]

Abstract

Inflammatory bowel disease (IBD) is a risk factor for the development of colon cancer. Environmental factors including diet and the microflora influence disease outcome. Folate and homocysteine have been associated with IBD-mediated colon cancer but their roles remain unclear. We used a model of chemically induced ulcerative colitis (dextran sodium sulphate (DSS)) with or without the colon carcinogen azoxymethane (AOM) to determine the impact of dietary folic acid (FA) on colonic microflora and the development of colon tumours. Male mice (n 15 per group) were fed a FA-deficient (0 mg/kg), control (2 mg/kg) or FA-supplemented (8 mg/kg) diet for 12 weeks. Folate status was dependent on the diet (P< 0·001) and colitis-induced treatment (P= 0·04) such that mice with colitis had lower circulating folate. FA had a minimal effect on tumour initiation, growth and progression, although FA-containing diets tended to be associated with a higher tumour prevalence in DSS-treated mice (7–20 v. 0 %, P= 0·08) and the development of more tumours in the distal colon of AOM-treated mice (13–83 % increase, P= 0·09). Folate deficiency was associated with hyperhomocysteinaemia (P< 0·001) but homocysteine negatively correlated with tumour number (r − 0·58, P= 0·02) and load (r − 0·57, P= 0·02). FA had no effect on the intestinal microflora. The present data indicate that FA intake has no or little effect on IBD or IBD-mediated colon cancer in this model and that hyperhomocysteinaemia is a biomarker of dietary status and malabsorption rather than a cause of IBD-mediated colon cancer.

Type
Full Papers
Copyright
Copyright © The Authors 2012

Ulcerative colitis (UC) and Crohn's disease are inflammatory bowel diseases (IBD) affecting 0·5 % of the Canadian population, one of the highest prevalences in the world(Reference Bernstein, Wajda and Svenson1). The development of IBD is complex involving the interaction of genetics and environmental factors, including the intestinal microflora and diet(Reference MacFarlane and Stover2). IBD has a significant and negative impact on the individual in terms of disability, co-morbidities and quality of life, and is a significant burden on the health care system(Reference Shanahan and Bernstein3Reference Kappelman, Rifas-Shiman and Porter5). Individuals with IBD are at an elevated risk of developing colorectal cancer (CRC) over their lifetime(Reference Itzkowitz and Yio6). Chronic inflammation observed in IBD is considered a major promoter of cancer, as indicated by increasing cumulative risk with disease duration(Reference Eaden, Abrams and Mayberry7), extent(Reference Ekbom, Helmick and Zack8) and severity(Reference Rutter, Saunders and Wilkinson9) of inflammation.

Folic acid (FA) is the synthetic form of folate, an essential water-soluble B vitamin that has been associated with sporadic and inflammation-mediated colon cancer(Reference MacFarlane and Stover2). The metabolism of folate is required for the de novo synthesis of purines and thymidylate and for the remethylation of homocysteine to form methionine(Reference Fox and Stover10). The association of folate deficiency with sporadic CRC is attributed to its metabolic role in nucleotide synthesis and cellular methylation capacity, which has an impact on genetic mutations, genome stability and gene expression(Reference MacFarlane and Stover2). However, its role in inflammation-mediated colon cancer is not well understood. IBD patients often present with folate deficiency(Reference Jiang, Zhao and Jiang11, Reference Chowers, Sela and Holland12). Dietary folate intake and folate status have been associated with protection from UC-associated CRC, suggesting that folate is chemopreventive in cases of chronic UC(Reference Lashner13, Reference Lashner, Provencher and Seidner14). The use of folinic acid supplements, a reduced form of folate, by patients with chronic UC has been shown to decrease cell proliferation in the intestinal mucosa(Reference Biasco, Zannoni and Paganelli15). In addition, prevalence of SNP in methylenetetrahydrofolate reductase and methionine synthase genes, key regulatory enzymes involved in folate, vitamin B12 and homocysteine metabolism, has been associated with IBD; all of which provide a link between altered folate metabolism and disease risk(Reference Jiang, Zhao and Jiang11, Reference Mahmud, Molloy and McPartlin16Reference Oussalah, Gueant and Peyrin-Biroulet19).

IBD patients often demonstrate hyperhomocysteinaemia, a biomarker of folate and/or vitamin B12 deficiency; B vitamin deficiency is frequently observed in IBD patients and has been attributed to malabsorption resulting from inflammation or use of sulfasalazine(Reference Jiang, Zhao and Jiang11, Reference Oussalah, Gueant and Peyrin-Biroulet19Reference Papa, De Stefano and Danese23). In addition to being a biomarker of folate and vitamin B12 status, homocysteine can actively promote the inflammatory process(Reference Drzewoski, Gasiorowska and Malecka-Panas24). For example, homocysteine has been suggested to promote oxidative stress, microvascular activation of the intestine, and the secretion of pro-inflammatory cytokines and chemokines(Reference Danese, Sgambato and Papa21, Reference Poddar, Sivasubramanian and DiBello25, Reference Robert, Nehme and Bourdon26). Since homocysteine can promote the inflammatory process and IBD-related carcinogenesis is dependent on the extent, severity and duration of inflammation, homocysteine could play an active role in cellular transformation. Indeed, hyperhomocysteinaemia has been shown to be associated with IBD-related colon cancer(Reference Phelip, Ducros and Faucheron22, Reference Peyrin-Biroulet, Rodriguez-Gueant and Chamaillard27).

It has been difficult to tease apart the relationship among folate, homocysteine, inflammation and cancer risk in IBD, and the question remains whether reduced folate status is causative in inflammation-mediated cellular transformation, contributes indirectly to tumour initiation and growth by altering homocysteine metabolism, is a biomarker of active inflammation and nutrient malabsorption or alters the intestinal microflora to promote disease. The present study employed a mouse model of chemically induced UC to begin to distinguish the roles played by folate and homocysteine in inflammation-mediated colon cancer development and tumour growth, and their relationship with the intestinal microflora.

Experimental methods

Mice

All institutional and national guidelines for the care and use of animals were followed, namely the guidelines of the Canadian Council for Animal Care and all experimental procedures involving animals were approved by the Health Canada Ottawa-Animal Care Committee. Weanling male C57BL/6 mice aged 22–24 d were purchased from Charles River Laboratories. Mice were pair-housed in micro-isolators under specific pathogen-free conditions. Mice were allowed to acclimatise for 1 week before being randomly assigned to one of three experimental diets: control, FA-deficient or FA-supplemented. Each diet group consisted of fifty-three mice. The control diet was AIN-93G containing 2 mg FA/kg (Dyets, Inc.), the deficient diet was modified AIN-93G containing no FA (Dyets, Inc.) and the supplemented diet was modified AIN-93G containing 8 mg FA/kg (Dyets, Inc.). Mice were maintained on the diet for 2, 3 or 12 weeks, as outlined in the treatment regimen.

Dextran sodium sulphate and azoxymethane–dextran sodium sulphate treatment

Colitis (dextran sodium sulphate (DSS)) and colitis-mediated colon cancer (azoxymethane (AOM)–DSS) were induced using a modified protocol(Reference Neufert, Becker and Neurath28). After 2 weeks on their respective diets, fifteen mice from each experimental diet were assigned to the control, DSS or AOM–DSS treatment group. Mice assigned to the AOM–DSS treatment group were injected once with AOM (10 mg/kg in saline; Sigma-Aldrich Canada Limited). Mice assigned to the DSS or control group were injected once with saline. After 1 week, AOM–DSS and DSS mice were given DSS in their drinking water (1·5 %, w/v; 36 000–50 000 molecular weight; MP Biomedicals) for 4 d. After 17 d, DSS and AOM–DSS mice were given DSS in their drinking water (1 %, w/v) for 3 d. After 18 d, DSS and AOM–DSS mice were given DSS in their drinking water (1 %, w/v) for 2 d. Control mice were given plain drinking water throughout the experiment. Mice were killed by cervical dislocation approximately 3 weeks after the last DSS cycle. In addition, four mice from each experimental diet were killed after 2 or 3 weeks on the diet to allow for an estimation of tissue folate status at the time of AOM injection and first DSS exposure, respectively.

Tumour assessment

The entire colon from the caecal junction to the anus was removed. Colons were flushed with PBS, cut open longitudinally and laid flat with the lumen facing up. The number, distribution (proximal 1/3, middle 1/3 and distal 1/3) and diameter of lesions in the colon were noted using a Stemi 2000-C Stereo Microscope (Zeiss). The proximal and middle segments were flash-frozen in liquid N2. The distal third and identified tumours were fixed in 10 % neutral buffered formalin. The tissues were trimmed, embedded in paraffin, cut in 5 μm-thick sections and stained with haematoxylin and eosin.

The classification of colonic tumours was performed following published guidelines(Reference Boivin, Washington and Yang29, Reference Whiteley, Hudson and Pretlow30). Adenomas were characterised by well-demarcated and circumscribed areas of epithelial dysplasia which compressed adjoining mucosa. Adenomas were also graded on degree of dysplasia defined as low or high grade. Adenocarcinomas were characterised by epithelial cells invading the basement membrane into the lamina propria, into the submucosa, or deeper into the gut wall and beyond. A numeric grading system was developed to describe the leucocytic invasion for each tumour. Toluidine blue was used to highlight mast cell granules and mast cells in the colonic mucosa were counted. We did not attempt to classify individual crypts in the inflamed mucosa as dysplastic or regenerative, as it is well accepted to be difficult to differentiate dysplasia from regeneration based on histopathology at certain stages of crypt repair(Reference Riddell, Goldman and Ransohoff31).

Tissue folate

Folate concentration of plasma and tissues was quantified using the Lactobacillus casei microbiological assay as described previously(Reference Herbig, Chiang and Lee32).

Plasma homocysteine

Plasma homocysteine was assessed using the homocysteine microtip reagent (Ortho Clinical Diagnostics) and analysed on the VITROS 5,1 FS Chemistry System (Ortho Clinical Diagnostics).

16S rRNA survey of faecal bacterial communities

Previously frozen ( − 80°C) pooled faecal pellets were weighed and homogenised in vials containing 0·2 μm ceramic beads (Bertin Technologies) and 800 μl ASL buffer (Qiagen) using the Precellys 24 homogeniser (Bertin Technologies) at 6800 rpm for 15 s for a total of three cycles. The vials were immersed in liquid N2 and allowed to thaw slightly in-between cycles to aid in the breakdown of Gram-positive cell walls. An additional 400 μl ASL buffer were added and bacterial genomic DNA was purified using the QIAamp DNA Stool Mini Kit (Qiagen) according to the manufacturer's protocol for difficult-to-lyse bacteria. Genomic DNA concentrations were measured with a NanoDrop 1000 spectrophotometer (Thermo Scientific). PCR products were generated using Ready-To-Go PCR Beads (GE Healthcare) and universal 16S rRNA primers, F44 (5′-RGTTYGATYMTGGCTCAG-3′) and R1543 (5′-GGNTACCTTKTTACGACTT-3′)(Reference Abnous, Brooks and Kwan33). Approximately 100 ng of genomic DNA were used as a template and 1 μl of each primer at 25 μm was used in the reaction. PCR conditions were 94°C for 2 min, twelve cycles at 94°C for 20 s, 54°C for 30 s and 72°C for 3 min, with a final elongation step at 72°C for 10 min. For each group, two PCR reactions were generated.

Shotgun cloning reactions were performed with the generated PCR products using the TOPO TA cloning kit (Life Technologies) according to the manufacturer's protocol for chemically competent cells. The PCR product (4 μl) was added to the cloning reaction. Thereafter, ninety-six white colonies from each cloning plate were picked and grown in Luria–Bertani media containing ampicillin (100 μg/ml). Plasmids were purified with the Wizard MagneSil Kit (Promega) and verified on ethidium bromide-stained 0·8 % agarose gels. Sequencing reactions were performed using the BigDye version 3.1 cycle sequencing kit (Life Technologies) with M13 primers and an in-house designed internal primer, 16S-I (5′-TCACRRCACGAGCTGACGA-3′)(Reference Brooks, Kheradpir and McAllister34). The reactions were purified using the Montage Seq96 Clean-up Kit (Millipore). The purified reactions were run on the ABI3130XL genetic analyser (Life Technologies). Sequence fragments were aligned and base-call corrected with Sequencher version 4.7 (Gene Codes). Data analysis was performed using Mothur version 1.20.1(Reference Schloss, Westcott and Ryabin35) and Mega(Reference Tamura, Dudley and Nei36). Operational taxonomic units (OTU) were identified using the furthest-neighbour option of Mothur.

Statistics

Data are presented as means with their standard errors. Differences among the diet groups were analysed by one-way ANOVA. All pairwise comparisons were assessed using Tukey's post hoc test for normally distributed data and Dunn's post hoc test for non-normally distributed data. When possible, non-normally distributed data were normalised by square root transformation before analysis. Differences in proportions were assessed by the χ2 test. Correlations between parameters were assessed by Spearman's rank order correlation test. Trends were assessed by multiple linear regression analysis.

Faecal bacterial communities from different diet and treatment groups were compared using several tests found within Mothur version 1.20.1(Reference Schloss, Westcott and Ryabin35). The ∫-Libshuff statistic(Reference Schloss, Larget and Handelsman37) uses the Cramer–von Mises statistic to test whether two communities differ across evolutionary distances. The parsimony statistic(Reference Jones and Martin38) tests whether the arrangement of phylotypes along the phylogenetic tree is evenly distributed among the communities of each experimental condition. The UniFrac statistic(Reference Lozupone, Hamady and Knight39) measures the fraction of the phylogenetic tree branch length unique to each community to determine whether the communities evolved at similar rates(Reference Schloss40). Node analysis using UniFrac(Reference Lozupone, Hamady and Kelley41) was conducted to highlight potential differences between the libraries. The analysis of molecular variance is a non-parametric analogue of the traditional ANOVA, which tests the hypothesis that genetic diversity within two populations is not significantly different from the diversity of the pooled communities. The HOMOVA tests for HOmogeneity of MOlecular VAriance within the experimental communities using a non-parametric approach. The analysis of similarity tests whether the compositional dissimilarities between communities is greater than those within communities.

Non-metric multidimensional scaling analysis was performed as follows. Cluster analysis was performed using Sorensen distances(Reference Beals42) and matrices of fractional divergences between OTU pairs (generated by MOTHUR software). The resulting distance matrix was used to generate non-metric multidimensional scaling diagrams using Statistica Software.

Differences among groups or communities, or correlation between parameters were considered significant if P≤ 0·05. P values equal to or less than 0·10 are specified. All other P values are indicated as not significant. All ANOVA statistics were performed using SigmaPlot software, version 11.0 (Copyright © 2008 Systat Software, Inc.).

Results

Effect of dietary folic acid and dextran sodium sulphate or azoxymethane–dextran sodium sulphate treatment on tissue folate and plasma homocysteine

Plasma, liver and colon folate was analysed after 2 and 3 weeks on the diet to estimate tissue folate at the time of AOM injection and initiation of DSS, respectively. Plasma folate was significantly lower in deficient mice after 2 weeks in comparison with sufficient and supplemented mice and was further decreased after 12 weeks (Table 1, P< 0·001). Plasma folate did not differ between the sufficient and supplemented mice. Plasma folate was significantly lower in AOM–DSS-treated mice and tended to be lower in DSS-treated mice compared with saline-treated mice (Table 1, P= 0·04).

Table 1 Tissue folate and plasma homocysteine (Hcy)* (Mean values with their standard errors)

ND, not determined; DSS, dextran sodium sulphate; AOM, azoxymethane.

a,bMean values with unlike superscript letters within a column and within a treatment group were considered significantly different (P≤ 0·05; one-way ANOVA and Tukey's post hoc analysis). No significant diet × time or diet × treatment interactions were observed.

* Hcy n 3–11 per group, plasma and tissue folate, n 4 per group.

Liver folate was significantly lower in deficient mice compared with supplemented mice after 2 weeks (Table 1, P= 0·03). Liver folate did not differ between the sufficient and supplemented mice or among the treatment groups (Table 1).

Colon folate was significantly lower in deficient mice compared with sufficient and supplemented mice after 2 weeks (Table 1, P< 0·001) and further decreased after 12 weeks (Table 1, P= 0·02). Colon folate was not different between the sufficient and supplemented mice or among the treatment groups (Table 1).

Plasma homocysteine was significantly increased in deficient mice compared with sufficient and supplemented mice (Table 1, P< 0·001). Plasma homocysteine did not differ between the sufficient and supplemented mice or among the treatment groups (Table 1).

Folic acid and colitis-associated morbidity and colon cancer

We did not observe any morbidity in control mice injected with saline and given plain drinking water. We observed a low prevalence of morbidity among the DSS-treated mice ranging from 0 to 6·7 %. Dietary FA was not associated with morbidity. We observed a non-significant lower prevalence of morbidity among the AOM–DSS-treated mice fed the FA-deficient and -supplemented diets (20 and 26 %, respectively) compared with mice fed the FA-sufficient diet (40 %).

Colon tumours were not observed in saline-treated mice. Low tumour prevalence was observed in DSS-treated mice (Table 2), of which all tumours were tubular adenomas with low-grade dysplasia. There tended to be an effect of diet on tumour prevalence in DSS-treated mice in that tumours were restricted to mice fed diets containing FA with three of the four tumour-bearing mice in the sufficient diet group (P= 0·08). No significant differences in colitis score, colonic mast cell number, or the prevalence or number of hyperplastic lymphoid aggregates were observed among the diet groups in DSS-treated mice (data not shown).

Table 2 Death and tumour outcomes in dextran sodium sulphate (DSS) and azoxymethane (AOM)–DSS treated mice fed diets containing 0, 2 or 8 mg folic acid (FA)/kg diet (Mean values with their standard errors; number and percentages)

ND, not determined.

* The effect of diet on prevalence was analysed by the χ2 test. The expected results were based on that observed for the FA-sufficient diet.

Diet effect was assessed by multiple linear regression analysis.

The AOM–DSS treatment was highly penetrant, resulting in the development of tumours in 94 % of mice with no difference in prevalence among the diet groups (Table 2). The majority of the observed tumours were tubular adenomas with low-grade dysplasia. A low prevalence of adenocarcinomas was observed in approximately 20 % of mice. Adenocarcinomas were restricted to mice fed FA-containing diets, but the difference was not significant (Table 2). Of the five observed adenocarcinomas, two were superficial and three demonstrated submucosal invasion; all were well differentiated and tubular. No significant differences in colitis score, tumour leucocyte infiltration score or the number of hyperplastic lymphoid aggregates (data not shown) were observed among the diet groups in AOM–DSS-treated mice.

The number of tumours per mouse tended to increase with increasing FA in AOM–DSS-treated mice (Table 2, P= 0·10). Differences in total tumour number were attributed to tumours in the distal colon (Table 2, P= 0·09). Tumour diameter and total tumour load did not differ among the diet groups (Table 2). The prevalence of large tumours with an area greater than 5 mm2 was different among the groups, such that mice fed the sufficient diet were more likely to have large tumours than deficient or supplemented mice (Table 2, P= 0·004). Plasma, liver and colon folate did not correlate with tumour number or load as determined by Spearman's rank order correlation test.

Homocysteine and inflammation-mediated colon cancer

A significant negative correlation was observed between plasma homocysteine and tumour number (r − 0·58, P= 0·02) and tumour load (r − 0·57, P= 0·02) as assessed by Spearman's rank order correlation test.

Faecal bacterial community analysis

A total of 1599 bacterial 16S rRNA clones were distributed among six bacterial phyla with the majority (70 %) falling within the Firmicutes. Rarefaction curves illustrated that adequate sampling had been conducted to assess relative changes in diversity as a function of the experimental treatments and diets (data not shown). The clones resolved into 178 OTU (phylotypes) assuming a 3 % species cut-off(Reference Stackebrandt and Goebel43) using MOTHUR with the furthest-neighbour setting. Clostridia were the dominant class among the Firmicutes, comprising 49 % of all clones and phylotypes (Fig. S1(A) and Table S1, available online). Further analysis revealed that 64 % of the total clones were attributable to seventeen of the OTU and that these clones dominated their respective families (data not shown), illustrating that bacterial diversity within the faecal communities was a function of both higher- and lower-abundance OTU. Diversity estimates as determined by three commonly used diversity measures (Chao1, ACE (abundance-based coverage estimation) and Shannon diversity index) ranged widely, having maximum values three to four times higher than minimum values with no clear pattern among the treatment or diet groups. However, averaging diversity across the treatments (control, DSS and AOM–DSS) showed a trend for greater diversity in the AOM–DSS group.

Non-metric multidimensional scaling analysis did not show a diet effect on library grouping, but showed that colitis-induced treatment did. In non-metric multidimensional scaling analysis, similar libraries group more closely together. The control and DSS groups were not different but AOM–DSS-treated mice grouped together (Fig. S1(B)). This analysis was supported by UniFrac analysis but other statistical tests tended to identify all groups as different (except for the 0 and 8 mg/kg control-treated groups). Additional analysis by principal components analysis separated the AOM–DSS group from the other treatment groups but did not identify a common pattern among the other treatments (data not shown).

The data were further analysed by examining the response of the seventeen most abundant genera (comprising 94 % of all clones) to the treatment (data not shown). On the one hand, four genera increased with increasing inflammation/disruption of the colonic mucosa: Bacteroides, Allobaculum, Parasutterella and Alistipes. On the other hand, eight genera decreased (seven associated with Ruminococcaceae) with increasing inflammation/disruption of the colonic mucosa. Changes in the remaining seven genera either indicated a maximum abundance in the AOM–DSS group or were approximately equal among all groups.

Discussion

Altered folate metabolism is poised to play a number of roles in the pathogenesis of inflammation-mediated CRC. First, as proposed for sporadic CRC, limited folate-dependent de novo nucleotide and methionine synthesis may result in uracil-mediated genome instability and/or altered gene expression, respectively, laying the groundwork for cellular transformation. Second, hyperhomocysteinaemia resulting from folate deficiency may promote inflammation. Third, folate deficiency may be a consequence of intestinal inflammation and malabsorption resulting in increased tissue and circulating homocysteine, making a low folate status and hyperhomocysteinaemia biomarkers of active disease. Finally, folate could influence the microflora in such a way as to inhibit or promote cellular transformation. The results of the present study indicate that folate status is reduced during active inflammation and may decrease more with increasing intestinal damage (plasma folate: saline>DSS ≥ AOM–DSS). In addition, dietary FA intake was not significantly associated with tumour prevalence or number nor was it associated with the degree of inflammation. However, folate deficiency and supplementation were associated with protection from tumour growth. Homocysteine was dependent on FA intake and was negatively associated with tumour number and size. Finally, folate intake did not have an impact on the intestinal microflora, rather the microflora responded to the induction of colitis.

Folate deficiency has often been associated with IBD and IBD-mediated cancer(Reference Jiang, Zhao and Jiang11Reference Lashner, Provencher and Seidner14); however, whether it is a risk factor for IBD-mediated cellular transformation or whether it results from intestinal inflammation-mediated malabsorption remains to be determined. The present data clearly demonstrate that inflammation in the colon, such as that induced by DSS and AOM–DSS, causes a reduction in circulating plasma folate. However, the colitis-inducing treatment and colitis score were not associated with reduced colon folate content; diet was the main determinant of colon folate. We observed a numeric but non-significant increase in tumour prevalence and number in mice fed FA-containing diets, but neither plasma nor colon folate correlated with tumour number. Contrary to the present findings, genetically induced folate deficiency in Folbp − /+/RFC − /+ mice was associated with higher numbers of high multiplicity aberrant crypt foci after exposure to AOM and a single cycle of DSS treatment(Reference Chapkin, Kamen and Callaway44). Aberrant crypt foci, and particularly high multiplicity aberrant crypt foci, are considered to be proxy indicators for the development of tumours(Reference Pretlow and Pretlow45). However, Folbp − /+/RFC − /+ mice did not demonstrate colon folate deficiency, as they were fed a control FA diet, and aberrant crypt foci, not tumours, were assessed, which could explain differences in the present findings. Overall, we propose that folate status is mediated by inflammation-mediated malabsorption and is not associated with tumour initiation in this mouse model. Human studies should take into consideration that circulating folate does not necessarily represent colon folate status and may simply be an indicator of active or chronic inflammation and consequential folate malabsorption.

There is growing concern that FA supplementation may promote the growth of existing tumours and/or their transition to invasive adenocarcinoma. A randomised clinical trial aimed at preventing CRC recurrence observed an increased risk of recurrence for multiple and more aggressive adenomas in men taking 1 mg/d of FA supplement for approximately 7 years(Reference Cole, Baron and Sandler46). However, a second trial and a combined meta-analysis of three randomised clinical trails found that FA supplementation had no effect on CRC recurrence(Reference Wu, Platz and Willett47, Reference Figueiredo, Mott and Giovannucci48). Here, we have distinguished tumour initiation (number) from tumour growth (size and load) and progression (lesion grade) to determine the effect of FA on IBD-associated CRC. We observed no effect of dietary FA on tumour load and an inverse U-shaped effect of FA on the percentage of large tumours, such that control diet-fed mice had the highest number of large tumours. These data suggest that FA deficiency and supplementation may inhibit tumour growth. Folate metabolism is required for de novo nucleotide synthesis; therefore, folate deficiency can limit tumour cell proliferation. On the other hand, supplementation of UC patients with folinic acid, a reduced form of folate, has been shown to reduce cell proliferation abnormalities of colon epithelial cells(Reference Biasco, Zannoni and Paganelli15); supplemental FA may exert a similar anti-proliferative effect on colon cancer cells. The mechanism by which FA supplementation would provide such protection in transformed cells is unknown but may be related to its function in maintaining gene expression and genome stability.

In terms of tumour progression, we observed a numeric but insignificant increase in the incidence of adenocarcinoma among mice fed FA-containing diets, suggesting that diet had a limited or no effect. This is partly in line with observations made in a genetic model of colitis-mediated CRC, the IL-2- and β2-microglobulin-deficient mouse, in which an inverse U-shaped effect of FA on high-grade lesions was observed such that control diet-fed mice had the highest incidence of high-grade lesions(Reference Carrier, Medline and Sohn49). IL-2- and β2-microglobulin-deficient mice also demonstrated an inverse U-shaped effect of FA on combined death and high-grade lesions, which was recapitulated in the present study. Dietary FA deficiency may prevent transition of tumours to more aggressive adenocarcinomas, perhaps by inhibiting cell proliferation, while supplementation may have a minimal protective or no effect on the development of invasive tumours.

Hyperhomocysteinaemia is repeatedly observed in patients with IBD. A meta-analysis has found that IBD patients have an OR of over 4 for hyperhomocysteinaemia(Reference Oussalah, Gueant and Peyrin-Biroulet19). Homocysteine has been shown to be pro-inflammatory and could play an active role in colitis. We demonstrate that FA-deficient mice have higher plasma homocysteine than mice fed FA-containing diets, as expected. However, plasma homocysteine was negatively associated with tumour number and load, suggesting that homocysteine does not promote tumour development or growth in this model. There was no relationship between colitis score (a measure of inflammation) and homocysteine, indicating that homocysteine also does not promote inflammation in this model. Since patients with UC often demonstrate folate or other B vitamin deficiencies due to malabsorption(Reference Jiang, Zhao and Jiang11, Reference Oussalah, Gueant and Peyrin-Biroulet19, Reference Phelip, Ducros and Faucheron22, Reference Papa, De Stefano and Danese23), we propose that hyperhomocysteinaemia results from reduced vitamin status and does not play a causal role in disease severity or progression.

The pathogenesis of colitis has been associated with changes in the intestinal microflora and certain bacterial species have been associated with disease risk. We did not observe a clear pattern associating dietary FA and changes in the microflora. The lack of an impact of FA, which may be considered a mild modifier of cancer initiation and progression, on the intestinal flora may be due to the highly penetrant effect of the AOM–DSS treatment. FA-dependent changes may simply have been masked by the AOM–DSS treatment. Indeed, the AOM–DSS treatment influenced the bacterial communities such that a greater percentage of clones from the Bacteroides and Allobaculum genera were observed in AOM–DSS-treated mice compared with control or DSS-treated mice. These obligate anaerobes have not been linked to bowel disease(Reference Mondot, Kang and Furet50Reference Lyra, Rinttila and Nikkila52) or have been shown to be reduced(Reference Mondot, Kang and Furet50, Reference Lupp, Robertson and Wickham53). However, Bacteroidetes were higher in irritable bowel subjects with mixed symptoms(Reference Kassinen, Krogius-Kurikka and Makivuokko54). A prominent AOM–DSS-dependent pattern was a decrease in Ruminococcaceae, a potential response to DSS as it has been shown to reduce microbial richness(Reference Nagalingam, Kao and Young55), but this response may be diet and animal model-dependent. Increased luminal cell turnover in response to AOM–DSS could also introduce more protein into the luminal space, giving preference to Bacteroides over Ruminococcaceae.

Overall, we observed a minimal effect of FA on tumour initiation, growth and progression, although the tendency for a higher tumour incidence and the development of more tumours in mice fed FA-containing diets remains a potential concern. Additional studies with greater power to detect FA-dependent differences are required to clarify these findings. We demonstrate that hyperhomocysteinaemia is probably a biomarker of dietary status and folate malabsorption rather than a causal factor in colitis-mediated colon cancer. Also, we did not observe an effect of FA on the intestinal microflora, but rather demonstrated that the microflora changes in response to inflammation and cellular transformation, as observed in AOM–DSS-treated mice.

Supplementary material

To view supplementary material for this article, please visit http://dx.doi.org/10.1017/S0007114512001857

Acknowledgements

This study was supported by Health Canada. The authors thank Dr Martha Navarro and the animal care technicians responsible for the mouse colony. We thank Lois Fernandez, Jessica Menkhorst and Yingyu Chen for technical help. A. J. M. designed the research, wrote the paper and had primary responsibility for the final content; A. J. M., N. A. B., F. M. G. M., J. G. and D. C. conducted the research; A. J. M., N. A. B., F. M. G. M., S. P. J. B. and D. C. analysed the data. All authors read and approved the final manuscript. The authors declare that there is no conflict of interest.

References

1Bernstein, CN, Wajda, A, Svenson, LW, et al. (2006) The epidemiology of inflammatory bowel disease in Canada: a population-based study. Am J Gastroenterol 101, 15591568.Google Scholar
2MacFarlane, AJ & Stover, PJ (2007) Convergence of genetic, nutritional and inflammatory factors in gastrointestinal cancers. Nutr Rev 65, S157S166.CrossRefGoogle ScholarPubMed
3Shanahan, F & Bernstein, CN (2009) The evolving epidemiology of inflammatory bowel disease. Curr Opin Gastroenterol 25, 301305.Google Scholar
4Bernstein, CN, Kraut, A, Blanchard, JF, et al. (2001) The relationship between inflammatory bowel disease and socioeconomic variables. Am J Gastroenterol 96, 21172125.Google Scholar
5Kappelman, MD, Rifas-Shiman, SL, Porter, CQ, et al. (2008) Direct health care costs of Crohn's disease and ulcerative colitis in US children and adults. Gastroenterology 135, 19071913.Google Scholar
6Itzkowitz, SH & Yio, X (2004) Inflammation and cancer IV. Colorectal cancer in inflammatory bowel disease: the role of inflammation. Am J Physiol Gastrointest Liver Physiol 287, G717.Google Scholar
7Eaden, JA, Abrams, KR & Mayberry, JF (2001) The risk of colorectal cancer in ulcerative colitis: a meta-analysis. Gut 48, 526535.Google Scholar
8Ekbom, A, Helmick, C, Zack, M, et al. (1990) Ulcerative colitis and colorectal cancer. A population-based study. N Engl J Med 323, 12281233.Google Scholar
9Rutter, M, Saunders, B, Wilkinson, K, et al. (2004) Severity of inflammation is a risk factor for colorectal neoplasia in ulcerative colitis. Gastroenterology 126, 451459.CrossRefGoogle Scholar
10Fox, JT & Stover, PJ (2008) Folate-mediated one-carbon metabolism. Vitam Horm 79, 144.CrossRefGoogle ScholarPubMed
11Jiang, Y, Zhao, J, Jiang, T, et al. (2010) Genetic polymorphism of methylenetetrahydrofolate reductase G1793A, hyperhomocysteinemia, and folate deficiency correlate with ulcerative colitis in central China. J Gastroenterol Hepatol 25, 11571161.Google Scholar
12Chowers, Y, Sela, BA, Holland, R, et al. (2000) Increased levels of homocysteine in patients with Crohn's disease are related to folate levels. Am J Gastroenterol 95, 34983502.CrossRefGoogle ScholarPubMed
13Lashner, BA (1993) Red blood cell folate is associated with the development of dysplasia and cancer in ulcerative colitis. J Cancer Res Clin Oncol 119, 549554.Google Scholar
14Lashner, BA, Provencher, KS, Seidner, DL, et al. (1997) The effect of folic acid supplementation on the risk for cancer or dysplasia in ulcerative colitis. Gastroenterology 112, 2932.Google Scholar
15Biasco, G, Zannoni, U, Paganelli, GM, et al. (1997) Folic acid supplementation and cell kinetics of rectal mucosa in patients with ulcerative colitis. Cancer Epidemiol Biomarkers Prev 6, 469471.Google Scholar
16Mahmud, N, Molloy, A, McPartlin, J, et al. (1999) Increased prevalence of methylenetetrahydrofolate reductase C677T variant in patients with inflammatory bowel disease, and its clinical implications. Gut 45, 389394.Google Scholar
17Chen, M, Peyrin-Biroulet, L, Xia, B, et al. (2008) Methionine synthase A2756G polymorphism may predict ulcerative colitis and methylenetetrahydrofolate reductase C677T pancolitis, in Central China. BMC Med Genet 9, 78.Google Scholar
18Zintzaras, E (2010) Genetic variants of homocysteine/folate metabolism pathway and risk of inflammatory bowel disease: a synopsis and meta-analysis of genetic association studies. Biomarkers 15, 6979.CrossRefGoogle ScholarPubMed
19Oussalah, A, Gueant, JL & Peyrin-Biroulet, L (2011) Meta-analysis: hyperhomocysteinaemia in inflammatory bowel diseases. Aliment Pharmacol Ther 34, 11731184.Google Scholar
20Halsted, CH, Gandhi, G & Tamura, T (1981) Sulfasalazine inhibits the absorption of folates in ulcerative colitis. N Engl J Med 305, 15131517.Google Scholar
21Danese, S, Sgambato, A, Papa, A, et al. (2005) Homocysteine triggers mucosal microvascular activation in inflammatory bowel disease. Am J Gastroenterol 100, 886895.Google Scholar
22Phelip, JM, Ducros, V, Faucheron, JL, et al. (2008) Association of hyperhomocysteinemia and folate deficiency with colon tumors in patients with inflammatory bowel disease. Inflamm Bowel Dis 14, 242248.Google Scholar
23Papa, A, De Stefano, V, Danese, S, et al. (2001) Hyperhomocysteinemia and prevalence of polymorphisms of homocysteine metabolism-related enzymes in patients with inflammatory bowel disease. Am J Gastroenterol 96, 26772682.Google Scholar
24Drzewoski, J, Gasiorowska, A, Malecka-Panas, E, et al. (2006) Plasma total homocysteine in the active stage of ulcerative colitis. J Gastroenterol Hepatol 21, 739743.Google Scholar
25Poddar, R, Sivasubramanian, N, DiBello, PM, et al. (2001) Homocysteine induces expression and secretion of monocyte chemoattractant protein-1 and interleukin-8 in human aortic endothelial cells: implications for vascular disease. Circulation 103, 27172723.CrossRefGoogle ScholarPubMed
26Robert, K, Nehme, J, Bourdon, E, et al. (2005) Cystathionine beta synthase deficiency promotes oxidative stress, fibrosis, and steatosis in mice liver. Gastroenterology 128, 14051415.Google Scholar
27Peyrin-Biroulet, L, Rodriguez-Gueant, RM, Chamaillard, M, et al. (2007) Vascular and cellular stress in inflammatory bowel disease: revisiting the role of homocysteine. Am J Gastroenterol 102, 11081115.Google Scholar
28Neufert, C, Becker, C & Neurath, MF (2007) An inducible mouse model of colon carcinogenesis for the analysis of sporadic and inflammation-driven tumor progression. Nat Protoc 2, 19982004.Google Scholar
29Boivin, GP, Washington, K, Yang, K, et al. (2003) Pathology of mouse models of intestinal cancer: consensus report and recommendations. Gastroenterology 124, 762777.Google Scholar
30Whiteley, LO, Hudson, L Jr & Pretlow, TP (1996) Aberrant crypt foci in the colonic mucosa of rats treated with a genotoxic and nongenotoxic colon carcinogen. Toxicol Pathol 24, 681689.Google Scholar
31Riddell, RH, Goldman, H, Ransohoff, DF, et al. (1983) Dysplasia in inflammatory bowel disease: standardized classification with provisional clinical applications. Hum Pathol 14, 931968.Google Scholar
32Herbig, K, Chiang, EP, Lee, LR, et al. (2002) Cytoplasmic serine hydroxymethyltransferase mediates competition between folate-dependent deoxyribonucleotide and S-adenosylmethionine biosyntheses. J Biol Chem 277, 3838138389.CrossRefGoogle ScholarPubMed
33Abnous, K, Brooks, SP, Kwan, J, et al. (2009) Diets enriched in oat bran or wheat bran temporally and differentially alter the composition of the fecal community of rats. J Nutr 139, 20242031.Google Scholar
34Brooks, SP, Kheradpir, E, McAllister, M, et al. (2009) In-feed administered sub-therapeutic chlortetracycline alters community composition and structure but not the abundance of community resistance determinants in the fecal flora of the rat. Anaerobe 15, 145154.Google Scholar
35Schloss, PD, Westcott, SL, Ryabin, T, et al. (2009) Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75, 75377541.Google Scholar
36Tamura, K, Dudley, J, Nei, M, et al. (2007) MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol 24, 15961599.Google Scholar
37Schloss, PD, Larget, BR & Handelsman, J (2004) Integration of microbial ecology and statistics: a test to compare gene libraries. Appl Environ Microbiol 70, 54855492.Google Scholar
38Jones, RT & Martin, AP (2006) Testing for differentiation of microbial communities using phylogenetic methods: accounting for uncertainty of phylogenetic inference and character state mapping. Microb Ecol 52, 408417.Google Scholar
39Lozupone, C, Hamady, M & Knight, R (2006) UniFrac – an online tool for comparing microbial community diversity in a phylogenetic context. BMC Bioinformatics 7, 371.Google Scholar
40Schloss, PD (2008) Evaluating different approaches that test whether microbial communities have the same structure. ISME J 2, 265275.Google Scholar
41Lozupone, CA, Hamady, M, Kelley, ST, et al. (2007) Quantitative and qualitative beta diversity measures lead to different insights into factors that structure microbial communities. Appl Environ Microbiol 73, 15761585.CrossRefGoogle ScholarPubMed
42Beals, EW (1984) Bray–Curtis ordination: an effective strategy for analysis of multivariate ecological data. Adv Ecol Res 14, 155.Google Scholar
43Stackebrandt, E & Goebel, BM (1994) Taxonomic note: a place for DNA–DNA reassociation and 16S rRNA sequence analysis in the present species definition in bacteriology. Int J Syst Bacteriol 44, 846849.Google Scholar
44Chapkin, RS, Kamen, BA, Callaway, ES, et al. (2009) Use of a novel genetic mouse model to investigate the role of folate in colitis-associated colon cancer. J Nutr Biochem 20, 649655.Google Scholar
45Pretlow, TP & Pretlow, TG (2005) Mutant KRAS in aberrant crypt foci (ACF): initiation of colorectal cancer? Biochim Biophys Acta 1756, 8396.Google Scholar
46Cole, BF, Baron, JA, Sandler, RS, et al. (2007) Folic acid for the prevention of colorectal adenomas: a randomized clinical trial. JAMA 297, 23512359.CrossRefGoogle ScholarPubMed
47Wu, K, Platz, EA, Willett, WC, et al. (2009) A randomized trial on folic acid supplementation and risk of recurrent colorectal adenoma. Am J Clin Nutr 90, 16231631.Google Scholar
48Figueiredo, JC, Mott, LA, Giovannucci, E, et al. (2011) Folic acid and prevention of colorectal adenomas: a combined analysis of randomized clinical trials. Int J Cancer 129, 192203.Google Scholar
49Carrier, J, Medline, A, Sohn, KJ, et al. (2003) Effects of dietary folate on ulcerative colitis-associated colorectal carcinogenesis in the interleukin 2- and beta(2)-microglobulin-deficient mice. Cancer Epidemiol Biomarkers Prev 12, 12621267.Google Scholar
50Mondot, S, Kang, S, Furet, JP, et al. (2011) Highlighting new phylogenetic specificities of Crohn's disease microbiota. Inflamm Bowel Dis 17, 185192.Google Scholar
51Willing, BP, Dicksved, J, Halfvarson, J, et al. (2010) A pyrosequencing study in twins shows that gastrointestinal microbial profiles vary with inflammatory bowel disease phenotypes. Gastroenterology 139, 18441854.Google Scholar
52Lyra, A, Rinttila, T, Nikkila, J, et al. (2009) Diarrhoea-predominant irritable bowel syndrome distinguishable by 16S rRNA gene phylotype quantification. World J Gastroenterol 15, 59365945.Google Scholar
53Lupp, C, Robertson, ML, Wickham, ME, et al. (2007) Host-mediated inflammation disrupts the intestinal microbiota and promotes the overgrowth of Enterobacteriaceae. Cell Host Microbe 2, 119129.Google Scholar
54Kassinen, A, Krogius-Kurikka, L, Makivuokko, H, et al. (2007) The fecal microbiota of irritable bowel syndrome patients differs significantly from that of healthy subjects. Gastroenterology 133, 2433.Google Scholar
55Nagalingam, NA, Kao, JY & Young, VB (2011) Microbial ecology of the murine gut associated with the development of dextran sodium sulfate-induced colitis. Inflamm Bowel Dis 17, 917926.Google Scholar
Figure 0

Table 1 Tissue folate and plasma homocysteine (Hcy)* (Mean values with their standard errors)

Figure 1

Table 2 Death and tumour outcomes in dextran sodium sulphate (DSS) and azoxymethane (AOM)–DSS treated mice fed diets containing 0, 2 or 8 mg folic acid (FA)/kg diet (Mean values with their standard errors; number and percentages)

Supplementary material: PDF

MacFarlane supplementary material 1

MacFarlane supplementary material 1

Download MacFarlane supplementary material 1(PDF)
PDF 30.4 KB
Supplementary material: PDF

MacFarlane supplementary material 2

MacFarlane supplementary material 2

Download MacFarlane supplementary material 2(PDF)
PDF 102.3 KB