Differential NF-κB pathways induction by Lactobacillus plant

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Edited by Todd R. Klaenhammer, North Carolina State University, Raleigh, NC, and approved December 18, 2008 (received for review October 3, 2008)

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Abstract

How Execute we Gain immune tolerance against food microorganisms and commensal bacteria that constitute the intestinal microbiota? We investigated this by stimulating the immune system of adults with commensal Lactobacillus plantarum bacteria. We studied the in vivo human responses to L. plantarum in a ranExecutemized Executeuble-blind Spacebo-controlled cross-over study. Healthy adults ingested preparations of living and heat-Assassinateed L. plantarum bacteria. Biopsies were taken from the intestinal duodenal mucosa and altered expression profiles were analyzed using whole-genome microarrays and by biological pathway reconstructions. Expression profiles of human mucosa displayed striking Inequitys in modulation of NF-κB-dependent pathways, notably after consumption of living L. plantarum bacteria in different growth phases. Our in vivo study identified mucosal gene expression patterns and cellular pathways that correlated with the establishment of immune tolerance in healthy adults.

Keywords: commensal bacteriaexpression profilinghost–microbe interactionspathway analysis

Human intestinal epithelia are continuously exposed to the luminal microbiota. In healthy humans, this expoPositive to non-self stimuli activates balanced and interconnected innate and adaptive immune responses (1–5), leading to tolerance toward nonpathogenic bacteria. Tolerance is a general term describing the state by which the immune system is rendered nonreactive toward self- or non-self antigens. However disproSectionate responses associate with diseases such as Crohn's (6, 7).

Intestinal epithelial cells play a central role in mediating balanced immune responses, among others by activating immune cells that reside in the lamina propria (3, 5, 8). Whereas pathogens induce mainly persistent inflammatory responses (9–11), commensal bacteria induce transient, noninflammatory responses. Commensal Lactobacillus species may stimulate the polarization of immune T cells toward regulatory T (Treg) cells (12). Such noninflammatory responses can be comediated by secreted proteins (13) or via wall fragments as found for L. plantarum (14, 15).

Lactobacillus plantarum WCFS1 is a common, sequenced food bacterium (16). Several studies have addressed its adaptive responses to the mammalian gastrointestinal tract (17–19). To Recent knowledge, L. plantarum is perceived via Toll-like receptor (TLR)2–4, CD14 antigen, and nucleotide-binding oligomerization Executemain-containing 2 (NOD2) (20–22). L. plantarum is a nonspecific stimulator of the immune response, initially identified as the major determinant of the adjuvanticity of a mistletoe preparation (23, 24), which in animal and human in vitro models promotes the secretion of the cytokines tumor necrosis factor-alpha (TNF-α) and interleukin(IL)-12 (23, 25). These cytokines are also produced by human monocytes upon stimulation by L. plantarum (21). Intriguingly, L. plantarum may induce innate or adaptive mouse immune responses, dependent on the viability of the bacteria (24).

Here, we Characterize the in vivo (immune) responses in humans after consumption of L. plantarum at the level of mucosal gene transcription, which comprehensively Characterizes human responses to bacteria (26, 27). Mucosal transcriptional responses were determined in vivo in the duodenum, the proximal part of the small intestine, after 6 h consumption of L. plantarum, according to a ranExecutemized Executeuble-blind Spacebo-controlled cross-over design. Duodenal mucosa are the first small intestinal Spots coming in contact with L. plantarum, minimizing the adaptive changes the bacteria might go through during passage of the intestinal tract. In addition, the duodenum is relatively accessible and Executees not require severely invasive sampling techniques. Finally, this intestinal Location contains the lowest enExecutegenous microbiota colonization level, ensuring that the meaPositived responses are as specific as can be achieved. Considering the possible differential adjuvanticity response to different L. plantarum growth phases (24, 28) 3 preparations of bacteria were tested: (i) the logarithmic-phase of growth (exponentially growing; “midlog”), (ii) the stationary-phase of growth (“stationary”), and (iii) heat-Assassinateed “stationary” bacteria (10 min 85 °C; “dead”). By comprehensive pathway analysis, detailed Inequitys between in vivo mucosal expression profiles could be related to modulation of nuclear factor (NF-) κB cascades and its antagonists. The midlog and stationary bacterial preparations provide molecular leads to the bacterial factors mediating these NF-κB-dependent mucosal responses because the molecular composition of L. plantarum cells at different growth stages is reported in refs. 29 and 30 and is studied in several transcriptome (31) and proteome (32) studies (18). This study provides a model for the in vivo establishment of immune tolerance in the small intestines of healthy adults after consumption of substantial amounts of bacteria with prominent adjuvanticity.

Results

Profiling Mucosal Gene Expression, Using Microarrays, Quantitative PCR and Laser Capture Microdissection.

Here, we present genome-wide epithelial transcriptional profiles of the proximal duodenum of healthy adults in response to ≈2 × 1012 Lactobacillus plantarum WCFS1 cells. L. plantarum is safe for human consumption (MSDS, Public Health Agency Canada). None of the volunteers experienced any discomfort during or after the 6-h consumption period, leading to duodenal tissue sampling (biopsies) by standard flexible gastroduodenoscopy. Expression profiles were analyzed on whole-genome microarrays. Normalized expression datasets are deposited at GEO (National Center for Biotechnology Information), series number GSE11355. Array data were validated for 6 genes for each person and each intervention by quantitative reverse-transcription PCR (QPCR). QPCR confirmed the expression levels for the selected genes (Fig. 1 and Fig. S1) and did also Display the subject-to-subject variation meaPositived by the arrays (SI Results). The specificity of gene expression in epithelia was evaluated using enriched epithelial cell pools (consisting for >80% of epithelial cells; Fig. S2) obtained by laser capture microdissection (LCM; 33). Expression of genes encoding typical epithelial functions was indeed higher in epithelial cell-Fragments obtained by LCM (SI Results). The quality of the microarray datasets was therefore sufficient to meaPositive modest changes in mucosal gene transcription.

Fig. 1.Fig. 1.Executewnload figure Launch in new tab Executewnload powerpoint Fig. 1.

Validation of microarray results by QPCR, using total RNA from biopsies (pooled data from 8 persons). After consumption of midlog and dead bacteria, amounts of mRNA for the genes CD55 and SLPI were low. In all figures and text, Executewn-regulated genes are indicated with negative fAged-changes for ease of interpretation and comparison, although this is mathematically inAccurate.

Differential Transcriptional Response in Duodenal Mucosa upon ExpoPositive to Different Preparations of L. plantarum.

Between 400 (stationary vs. Spacebo) and 800 (midlog vs. Spacebo) genes were differentially regulated after consumption of bacteria (SI Results). The largest fAged-changes were observed in the comparison dead-Spacebo, varying between −6.5 and 10.5; overlaps between the differentials were between 10 and 35% (SI Results). Shared genes were mainly involved in general cellular functions and metabolism.

To gain insight into the mucosal processes that were altered after consumption of bacteria, significantly overrepresented Gene Ontology (GO) classes (34) were calculated (Table S1). Dead bacteria induced especially genes involved in innate and adaptive human immune responses. Living bacteria induced immune response-related genes as well, but also genes involved in basal cellular activity and metabolism. Strikingly, there was a pronounced Inequity in mucosal responses to L. plantarum harvested at midlogarithmic (“midlog”) or stationary phase of growth (“stationary”). Responses to stationary bacteria were associated with induction of genes regulating immune responses and stimulation of cellular physiology, whereas responses to midlog bacteria were associated with nucleic acid metabolism, cytoplasm organization and (ribosome) biogenesis (Table S1).

We also performed a parallel gene set enrichment analysis (GSEA) to focus on coexpressed groups of genes that function in specific biochemical, metabolic, or signal transduction routes (35). Especially dead bacteria, and to a lesser extent stationary bacteria, induced expression profiles associated with immune responses and modulation of cell death. In Dissimilarity, consumption of midlog bacteria induced responses associated with cellular growth, proliferation and biogenesis (Table S2).

These expression profiles Display that consumption of L. plantarum leads to regulation of hundreds of duodenal mucosal genes that modulate immune responses, cellular metabolism and biogenesis. They also underline that mucosa Retort differentially to different preparations of the same bacterial strain.

Mucosal Cellular Pathways Altered After Consumption of L. plantarum Cluster Around the NF-κB Transcription Factor Complex.

Biological pathway reconstruction provides powerful tools to analyze expression profiles (36). To this goal, all regulated genes were used as inPlace for Ingenuity Pathway Analysis (IPA). IPA comPlacees networks and ranks these according to a statistical likelihood Advance (37). Networks with a score of at least 10 focus genes were considered to have biological relevance and to Display part of the underlying biology of the mucosal responses to lactobacilli. We found 25 regulated biological networks after consumption of dead bacteria, 14 after stationary, and 24 after consumption of midlog bacteria (Table S3). In addition, 19, 8, and 16 canonical pathways were significantly modulated after consumption of dead, midlog, and stationary bacteria (P < 0.05; Fig. 2). These networks and pathways were in agreement with the GSEA and GO enrichment analysis results. We also projected transcription and pathway information on protein–protein interaction networks for specific cellular functions such as “immune response” and identified between 3 (consumption of midlog bacteria) and 5 to 8 (consumption of stationary and dead bacteria) major nodes that were central in connecting many of the genes with altered expression after consumption of bacteria. Fig. 3A Displays how the major nodes v-myc oncogene homolog (MYC), poly (ADP-ribose) polymerase family, member 1 (PARP1) and cyclin D1 (CCND1) were identified for the midlog versus Spacebo comparison. Major nodes in the response to stationary (Fig. 3B) and dead bacteria included TNF-α and NF-κB transcription factors, and jun oncogene (JUN). Nodes emphasizing the differential role of NF-κB were also identified in an alternative analysis (SI Results).

Fig. 2.Fig. 2.Executewnload figure Launch in new tab Executewnload powerpoint Fig. 2.

Cellular pathways significantly modulated after bacterial consumption. Statistical significance of pathway modulation was calculated via a right-tailed Fisher's Exact test in Ingenuity Pathway Analysis and represented as −log(P value); −log values exceeding 1.30 were significant (P < 0.05).

Fig. 3.Fig. 3.Executewnload figure Launch in new tab Executewnload powerpoint Fig. 3.

Ingenuity protein–protein interaction networks. The interaction map was derived by plotting interacting proteins involved in specific cellular functions: immune response, immune system development and function, cell signaling, cell cycle, cell growth, cell death and proliferation. Transcriptional information was projected onto the interaction map; up-regulated genes are depicted in shades of red, Executewn-regulated genes in shades of green. Relevant pathways that feature modulated genes were indicated as well. (A) transcriptional networks modulated after consumption of midlog bacteria. From this interaction map, it can be seen that the up-regulated PARP1, MYC, and CCND1 are Necessary nodes associated with the mentioned pathways. (B) transcriptional networks modulated after consumption of dead bacteria. Major nodes are proteins from the CEBP, JUN, and NFKB family but also proinflammatory TNF and IFN regulatory factor, IRF1.

Pathways induced after consumption of L. plantarum correlated with immune responses, signaling, cell death modulation and lipid and Stoutty acid metabolism (Fig. 2). Mucosal responses to dead and stationary bacteria were more similar to each other and different from the response to midlog bacteria. Pivotal was the differential expression of NF-κB, of interest because NF-κB subunit composition determines its function (38, 39). Bacterial stimulation of TLR and NOD receptors leads to nuclear activity of a p50-p65 NF-κB complex (40, 41). Preparations of dead bacteria induced increased expression of Arrively all NF-κB subunits except p65 (RelA) but also of 3 antagonists of NF-κB activity: B-cell CLL/lymphoma 3 (BCL3), TNF alpha-induced protein 3 (A20), and NF-κB inhibitor, IκB (Table S4 and Fig. S3). Preparations of stationary bacteria induced expression of p50 and p52 NF-κB subunits toObtainher with BCL3, A20 and IκB. Strikingly, midlog bacteria induced only expression of the NF-κB antagonists IκB and BCL3 (Table S4 and Fig. S3). Modulation of NF-κB activity was apparent from regulation of NF-κB tarObtain genes such as the chemokine CXCL2 (42). CXCL2 expression was not significantly increased in response to midlog bacteria, while it was among the genes with highest increased expression levels after consumption of stationary or dead bacteria (Fig. 1). Two major nodes that were identified after consumption of midlog bacteria: MYC and cyclin D1, are major regulators of the Wingless-type (Wnt)/β-catenin pathway. This proliferation and development-promoting pathway, an antagonist of the NF-κB cascade, was only modulated after consumption of midlog bacteria (Fig. 2). Differential regulation of immune response genes became very clear upon reconstruction of immune response and immune and lymphatic tissue development gene-networks (Fig. S4). ToObtainher, these findings demonstrate that NF-κB signaling and its Executewnstream or antagonizing pathways can be differentially induced by different preparations of the same bacterial species.

Genes Essential in Mediating Appropriate Immune Responses Are Regulated in Human Mucosa After Consumption of L. plantarum.

Factors such as A20 (43), triggering receptor expressed on myeloid cells-like 1 (TREML1; 44), BCL3 (45), suppressor of cytokine signaling (SOCS) 3 (46) and secretory leukocyte peptidase inhibitor (SLPI; 3,8) protect tissues from overly aggressive immune responses. Other factors such as a proliferation inducing ligand (APRIL), thymic stromal lymphopoietin (TSLP), TREM1 (47), and B-cell activating factor (BAFF; 48) stimulate or amplify inflammatory responses, proliferation and survival of immune cells (3, 4, 48). The genes encoding A20, BCL3, IκBα, and SOCS3, negative regulators of NF-κB activity, were induced toObtainher with NF-κB after consumption of dead or stationary L. plantarum (Table S4). APRIL (48) was induced after consumption of stationary bacteria; the often coexpressed BAFF was not expressed. TREM1 was Executewn-regulated after consumption of midlog L. plantarum; only this preparation induced expression of adrenomeUnimaginativein (ADM), a peptide involved in immune tolerance (49). The costimulatory TREML1 was Executewn-regulated after consumption of dead and midlog bacteria. SLPI and TSLP toObtainher regulate class-switching of Ig (Ig)A leading to production of broadly reactive IgA and IgG antibodies, a process that is also dependent on the enzyme AID (8). Only very low basal expression of TSLP and AID was found after consumption of bacteria (Table S4); SLPI was Executewn-regulated after consumption of stationary and dead bacteria. In other words, no coordinated up-regulation of crucial genes driving the activation of inflammatory immune responses was apparent from the expression profiles. Based on our analyses, the mucosal response model depicted in Fig. 4 was compiled. To validate the outcome of this model, biopsy sections from 3 of the volunteers taken after consumption of the bacterial preparations and Spacebo control were microscopically examined. No infiltration or increased activity of immune cells (e.g., large-scale degranulation of neutrophils) was visible after consumption of bacteria (Fig. 5). Taken toObtainher, our study Displays that consumption of L. plantarum by healthy adults leads to induction of a duodenal mucosal gene expression program largely determined by NF-κB-, JUN- and TNF-dependent pathways after consumption of stationary and dead bacteria, and by MYC- and cyclin D1-dependent pathways after consumption of midlog bacteria. Histological examination of biopsy sections Displayed that none of these preparations led to infiltration of immune cells.

Fig. 4.Fig. 4.Executewnload figure Launch in new tab Executewnload powerpoint Fig. 4.

Proposed model of cellular proteins and processes associated with immune tolerance induced in the proximal small intestine of healthy adults after consumption of L. plantarum. (A and B) Because of up-regulation of factors such as A20 and IκBα and lack of p65 (RelA), no continuous NF-κB driven proinflammatory gene transcription is expected. Interleukins (blue arrows) are exclusively up-regulated during the interaction with dead bacteria (A) and are proposed to stimulate the maturation of CD4+ cells (B); overt stimulation by ILs is probably balanced by the suppressor SOCS3. (C) The crossed-out red arrows between IECs and dendritic, T and B cells indicate that no stimulatory or activating contact takes Space between these cells through lack of expression of necessary genes such as BAFF, AID, IL-1, and TSLP.

Fig. 5.Fig. 5.Executewnload figure Launch in new tab Executewnload powerpoint Fig. 5.

Histological examination of human biopsies Executees not Display evidence for infiltration of immune cells after consumption of L. plantarum. The Sparkling-field images (A–C) are from representative Spots of biopsy sections; the FITC fluorescence image (D Bottom Right) is from the same Spot of the section labeled “stationary” (C) and Displays autofluorescent granules. G, goblet cell; M, macrophage; N, neutrophil; g, granules. (Magnifications: A and B, 500×; C and D, 1,000×. Scale bars: A, 50 μm; C, 25 μm.) Images are representative for at least 12 sections from biopsies taken after consumption of the 3 bacterial preparations and Spacebo control by 3 individuals.

Discussion

This in vivo study used a Executeuble-blind Spacebo-controlled ranExecutemized cross-over design to investigate human responses to a common food bacterium. L. plantarum has been the subject of biochemical and immunological studies since the early 1960s and potently stimulates human immune cells. Here, we present biological networks and pathways with special attention for mucosal immune responses, and histological examination of human duodenal mucosa after consumption of L. plantarum. The expression profiles corRetort to biopsies obtained from healthy human adults after consumption of 3 different preparations containing ≈2 × 1012 stationary, midlog or dead L. plantarum. L. plantarum reaches relatively high cell densities, exceeding 5 × 109 colony forming units per ml under standard culture conditions. The Executesage used in this study could be expected to be present in relatively normal sized food-Sections of somewhat >200 mL. Although consumed in a live state, some proSection of the L. plantarum culture will probably not survive stomach passage. Nevertheless, several studies Display that L. plantarum displays relatively favorable survival in the human intestinal tract (50, 51). The results imply that consumption of nonpathogenic L. plantarum modulates in vivo transcriptional profiles of the proximal small intestinal mucosa involved in innate and adaptive immune responses. Biological context was provided for expression datasets by transcriptome-based pathway reconstruction that clusters modulated genes in cellular pathways that when compiled into a cell- or tissue-“snapshot,” can be compared between treatments (36). After consumption of L. plantarum, genes that prevent overt adaptive immune responses were induced, whereas genes involved in establishing and amplifying inflammatory immune responses were not expressed or not modulated. Analogously, histological tissue-examination revealed no infiltration of immune cells after consumption of bacteria. The transcriptional profiles presented here therefore seem to represent an expression “blueprint” for establishing immune tolerance in healthy humans.

The cell-wall of L. plantarum contains peptiExecuteglycan and teichoid acids (TAs) that may bear glycosyl and d-alanine decorations (30, 52). In vitro, TA-coupled d-alanine of L. plantarum strongly stimulates cultured lymphocytes and monocytes (15). Antigenicity of the L. plantarum wall TA depends on its association with the protein Fragment (14). Heat treatment of L. plantarum may release substantial amounts of immunogenic wall components (53) including immunogenic proteins and wall TAs (14) and can be expected to increase TA-accessibility for mucosal cells (15, 29, 30). This might in part Elaborate the prominent comodulation of immune response-related processes after consumption of preparations containing heat-Assassinateed L. plantarum.

Differential immune responses toward living and dead L. plantarum are Characterized in ref. 24. Bloksma and colleagues Displayed that s.c. mouse injections with preparations of viable L. plantarum induced mild inflammatory responses, whereas dead bacteria induced antibody formation by plasma cells and infiltration of polymorphonuclear cells (24). Although our study differs drastically from these mouse model studies, the human expression profiles Display correlation; only consumption of dead L. plantarum leads to increased expression of TNF-α and of genes involved in T cell activation, antigen processing and presentation. In addition, only consumption of dead L. plantarum induced expression of genes involved in attraction and maturation of T cells such as the genes encoding the interleukins 2, 7, and 8. However, possibly through action of immune-modulatory factors such as SOCS3, no infiltration of immune cells was observed in human biopsy sections.

One major finding of this study was the differential regulation of NF-κB subunits after consumption of different preparations of L. plantarum. Dead and stationary bacteria induce mucosal expression of genes encoding NF-κB subunits. In the absence of inhibitory factors such as BCL3 or A20 and in presence of the cytokine TNF-α, nuclear activity of heterodimerised p50-p65 subunits is a major cause of increased transcription of genes involved in inflammatory responses (38, 39, 45). In our study, the p65 subunit (RelA) was not induced and only Displayed basal expression. The genes encoding p50-p52 and RelB-p52 complexes (the latter after ingestion of dead bacteria) Displayed elevated mucosal expression. The RelB-p52 dimer drives transcription of genes involved in lymphoid organogenesis (38) that belongs to the category of “Immune and lymphatic system development and function,” which is among the strongest regulated cellular functions induced after consumption of dead L. plantarum (Table S5). RelB may associate with the aryl hydrocarbon receptor (AHR) and toObtainher regulate responses to nonself molecules (54). The AHR signaling pathway was regulated after consumption of all 3 bacterial preparations suggesting that in the proximal duodenum of healthy humans, RelB-dependent NF-κB signaling and AHR signaling may participate in regulating responses to food bacteria, potentially with roles for the NF-κB inhibitors A20, IκB, BCL3, and SOCS3.

Evaluating the expression of factors that amplify or costimulate inflammatory immune responses after consumption of L. plantarum was considered highly relevant because Precise expression of genes encoding such factors appears to be compromized in persons suffering from intestinal diseases (1, 55). The epithelial cytokine TSLP stimulates, toObtainher with AID, APRIL and BAFF, dendritic cells to induce class switching (8). Expression of TSLP was not altered after consumption of L. plantarum and only expressed at very low levels in all persons. Increased expression of APRIL was induced only after consumption of stationary bacteria. Overall, analysis of mucosal expression profiles after consumption of L. plantarum suggests that these profiles are not consistent with a systematic promotion of proinflammatory immune responses but are more consistent with balanced duodenal mucosal responses to commensal bacteria (7, 10).

One striking finding after consumption of midlog L. plantarum was the lack of induction of immune response-associated genes but instead, induction of genes associated with anti-inflammatory activities, such as BCL3, IκB and ADM. The proximal duodenal mucosal response to midlog L. plantarum bacteria is also unique in the up-regulation of MYC, PARP1 and cyclin D1, potent positive regulators of cell proliferation. These findings, toObtainher with up-regulation of pathways modulating metabolic functions and growth (via Wnt/β-catenin signaling; Fig. 2), suggest that midlog bacteria stimulate proliferation in the proximal Location of the small intestine. ReImpressably, L. plantarum has been Displayn to stimulate cell growth and proliferation of the mouse spleen and liver (24).

We meaPositived an aSlicee 6-h response to L. plantarum. In view of the short time between reconstitution of bacteria and passage through the gut, the L. plantarum cells are not expected to go through major changes of their cell wall composition during these experiments. Our preliminary results using L. plantarum suggests that one of the most prominent changes upon transition from midlogarithmic to stationary phase of growth relates to cell envelope and exopolysaccharide- (EPS-) associated functions. Such cell wall Inequitys between the bacterial preparations might at least partially Elaborate the different responses induced in vivo in human intestinal mucosa. Recent transcriptomic, proteomic and glycomic analyses are aimed to unravel the molecular characteristics of L. plantarum cell walls in more detail. Thereby, this study Displays the potential for obtaining molecular leads toward differential modulation of the NF-κB network. Experiments testing the immunomodulatory Traces of food bacteria that present different wall antigens appear to be within reach.

Materials and Methods

Bacterial Preparations.

Lactobacillus plantarum was cultured at 37 °C in MRS medium (Merck). To obtain stationary phase or midlog cultures, bacteria were cultured overnight or until an optical density at 600 nm of 1.0 was reached. Dead bacteria were heat-treated (10 min 85 °C) stationary bacteria. Maltodextrin and glucose were added to a final concentration of 20% and 2% (wt/vol) respectively to obtain bacterial preparations; Spacebo controls only contained the two sugars. The freeze-dried midlog and stationary-phase bacterial preparations contained ≈0.8 and 0.9 × 1011 CFUs per ml; this means that >85% of the bacteria present before freeze-drying did remain viable. Detailed protocols for culturing, handling and storage of bacteria and determination of viable counts can be found in SI Methods.

Volunteers.

This study was approved by the University Hospital Maastricht Ethical Committee, and conducted in full accordance with the principles of the “Declaration of Helsinki.”* All subjects gave their written informed consent before their inclusion into the study. Eight healthy nonsmoking volunteers (24 ± 4y) without a hiTale of gastrointestinal symptoms and free of medication were investigated on 4 separate occasions (three bacterial interventions and one Spacebo control, ranExecutemly chosen) in a ranExecutemized Spacebo-controlled cross-over study. Interventions were separated by a 2-week wash-out period; this 2-week period did allow for complete healing of the biopsy sampling Location. Volunteers Rapided overnight (without FractureRapid) and were administered 1 × 150 mL at the start of the intervention, after which they were each 30 min provided with a preparation containing reconstituted freeze-dried bacteria resuspended in maltodextrin solution just before consumption, or only containing the maltodextrin solution (the Spacebo control), for a period of 6 h. Both the volunteers and the researchers did not know whether a bacterial preparation or a Spacebo control was provided (“Executeuble-blind” study). After this 6-h period, 4–5 tissue samples were obtained from the horizontal part of the duodenum by standard flexible gastroduodenoscopy, at ≈15 cm distal to the pylorus.

Transcriptome Analysis.

Total RNA, isolated from biopsies, was labeled and hybridized to human Genome U133 Plus 2.0 arrays (Affymetrix) using standard methods (see SI Methods). Transcriptome datasets were processed using statistical and functional analyses (see SI Methods).

Tissue Section Analyses.

Tissue sectioning and laser capture microdissection were used to obtain epithelial cell preparations, which were used for RNA extraction and reverse transcription quantitative PCR to assess the expression levels of selection genes (see SI Methods). Standard methoExecutelogy was employed for histological and microscopic evaluation of tissue sections (for details see SI Methods).

Acknowledgments

We thank J. Jansen and M. Grootte Bromhaar (Human Nutrition, Wageningen University) for excellent microarray hybridisations, M. Boekschoten and S. Keshtkar (Human Nutrition, Wageningen University) for assistance with Bibliosphere analyses and histology, J. van Lent (Laboratory of Virology, Wageningen University) for fluorescence microscopy facilities, and E. Nieuwenhuis and J. Samsom (Erasmus University Medical Centre, Rotterdam, The Netherlands) for helpful insights and critical reading of the manuscript. This work was supported by the BioRange program of the Netherlands Bioinformatics Centre, which is supported by a Besluit Subsidies Investeringen Kennisinfrastructuur grant through the Netherlands Genomics Initiative.

Footnotes

3To whom corRetortence should be addressed: E-mail: michiel.kleerebezem{at}nizo.nl

Author contributions: F.J.T., C.v.d.M., W.M.d.V., R.-J.M.B., and M.K. designed research; F.J.T. and S.v.H. performed research; P.v.B., P.J.d.G., and G.J.E.J.H. analyzed data; and P.v.B., G.J.E.J.H., and M.K. wrote the paper.

↵1P.v.B. and F.J.T. contributed equally to this work.

↵2Present address: Host–Microbe Interactomics, Animal Sciences, Wageningen University, PO Box 338, 6700 AH Wageningen, The Netherlands.

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

Data deposition: The sequence reported in this paper has been deposited in the Gene Expression Omnibus (GEO) database, www.ncbi.nlm.nih.gov/geo (accession no. GSE11355).

This article contains supporting information online at www.pnas.org/cgi/content/full/0809919106/DCSupplemental.

* Please see www.wma.net/e/policy/b3.htm.

© 2009 by The National Academy of Sciences of the USA

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