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Non-digestible oligosaccharides directly regulate host kinome to modulate host inflammatory responses without alterations in the gut microbiota
© The Author(s). 2017
Received: 12 April 2017
Accepted: 28 September 2017
Published: 10 October 2017
Prebiotics are non-digestible food ingredients that enhance the growth of certain microbes within the gut microbiota. Prebiotic consumption generates immune-modulatory effects that are traditionally thought to reflect microbial interactions within the gut. However, recent evidence suggests they may also impart direct microbe-independent effects on the host, though the mechanisms of which are currently unclear.
Kinome arrays were used to profile the host intestinal signaling responses to prebiotic exposures in the absence of microbes. Identified pathways were functionally validated in Caco-2Bbe1 intestinal cell line and in vivo model of murine endotoxemia.
We found that prebiotics directly regulate host mucosal signaling to alter response to bacterial infection. Intestinal epithelial cells (IECs) exposed to prebiotics are hyporesponsive to pathogen-induced mitogen-activated protein kinase (MAPK) and nuclear factor kappa B (NF-κB) activations, and have a kinome profile distinct from non-treated cells pertaining to multiple innate immune signaling pathways. Consistent with this finding, mice orally gavaged with prebiotics showed dampened inflammatory response to lipopolysaccharide (LPS) without alterations in the gut microbiota.
These findings provide molecular mechanisms of direct host-prebiotic interactions to support prebiotics as potent modulators of host inflammation.
The concept of altering the gut microbiota to improve human health has led to a spectrum of therapeutic strategies, one of which includes the consumption of plant-derived prebiotics . Prebiotics are oligosaccharides that resist intestinal digestion and absorption to reach the colon virtually intact to act as growth substrates for certain health-promoting bacterial communities . Prebiotic consumption, particularly in early life, produces beneficial effects on the development of microbiota and immune function, but the mechanisms are ill-defined . It is traditionally believed that the two effects are intertwined, where immune modulation is an indirect result of the changes in microbiota, while little is known about the possibility of direct interactions with the host.
The first indication of direct host-prebiotic interactions came from the finding that oligosaccharides derived from milk directly induce cord blood T cell maturation and cytokine production . Since then, studies have shown that in addition to T cells, prebiotic exposure also triggers cytokine production in dendritic cells (DCs), IECs and monocytes [5–7]. More recently, several animal studies have also shown that non-digestible oligosaccharides can regulate B cell responses and macrophage markers even in germ-free animals devoid of microbes [8, 9], suggesting that prebiotics could have direct immune-modulatory effects beyond their microbial properties, though the mechanisms of which are currently unknown.
Recently, we demonstrated that prebiotic exposures can directly stimulate host protein kinase C phosphorylation to mediate changes on barrier function , suggesting a connection between kinase activities (the kinome) and the host response to prebiotics. However, it is unclear to what extent the host kinases are modulated by prebiotics and how this may relate to host immunity. Kinases phosphorylate a wide selection of substrates to alter protein function and can rapidly influence a diverse repertoire of biological processes and cellular signaling . To thoroughly investigate these processes, we employed a systems biology approach to address the outstanding questions of host-prebiotic interactions.
In this study, we explored prebiotic signaling by performing kinome analysis on IECs in response to two commercial prebiotic oligosaccharides of varying length: inulin and short-chain fructooligosaccharide (scFOS), with and without challenge by the enteric pathogen enterohemorrhagic Escherichia coli serotype O157:H7 (EHEC). This was done using a customized peptide microarray containing 282 unique phosphorylation substrates (each peptide replicated nine times) to profile host kinome activities . Through this analysis, we identified specific kinases (nodes) whose phosphorylation levels were directly modulated by prebiotic exposure in a glycan-specific manner. The functional annotations of these nodes revealed several relevant networks and pathways, and these predicted pathways were further validated both in vitro using Caco-2Bbe1 cell line and in vivo using endotoxemic mice . Together, our findings demonstrate that prebiotics directly impact host signaling to affect mucosal inflammation, which provides a molecular explanation for how prebiotic consumption regulates host inflammation independent of gut microbiota.
Prebiotics modulate host kinome in a glycan-specific manner
To compare the DPPs between inulin and scFOS, we constructed volcano plots and identified the three most up- and down-phosphorylated kinases (Additional file 1: Figure S1B-E). In the unchallenged state, inulin and scFOS both decreased the phosphorylation of JUN, a central mediator in inflammation control, and increased phosphorylation of interferon regulatory factor 3 (IRF-3), a transcription factor that regulates interferon-gamma (IFN-γ)-related genes during inflammation. But aside from these two commonalities, the most extreme DPPs between inulin and scFOS exposures were vastly different. For example, the most down-phosphorylated peptide during inulin exposure was receptor for activated C kinase (RACK1), as opposed to interleukin-1 receptor-associated kinase 1 (IRAK4) for scFOS. Taken together, these results suggest that prebiotic directly elicits widespread changes to the host kinome in a manner that is unique to the prebiotic structure.
Prebiotic modulation of the kinome alters host cell functions
To further differentiate the signaling responses between inulin and scFOS, we next sought to identify the kinase networks most responsible for distinguishing the kinome profiles between inulin and scFOS. As a proof-of-principle, for each prebiotic, we selected ~20 peptides that were the most differentially phosphorylated compared to the unchallenged or EHEC-challenged controls (10 in the positive and 10 in the negative direction). These kinases were then projected onto Cytoscape to construct protein interaction networks. For both unchallenged and challenged states, the networks between inulin and scFOS differed. The network for scFOS was highly enriched in kinases involved in TLR signaling, including interferon regulatory factor 3 (IRF3), myeloid differentiation primary response gene 88 (Myd88), and receptor for receptor-interacting serine/threonine-protein kinase (RIPK1) (Fig. 2e, g), but the same enrichment was not represented in the networks following inulin exposure (Fig. 2d, f). Moreover, the nodes between inulin- and scFOS-constructed networks also differed in weight distribution, with similarly sized kinase activities in inulin, but more extremes seen in scFOS networks (see IRF3 and IRAK1 in Fig. 2e, g). Thus, not only do inulin and scFOS stratify differently in host GO functional categories and pathways, but they are also characterized by unique protein networks.
Inulin and scFOS differentially modulate NF-κB, TGFβ, TLR and MAPK pathways
Prebiotics modulate inflammatory signaling mediators in IECs
In addition to the NF-κB pathway, we also validated the kinome prediction for MAPK signaling (Additional file 2: Figure S2A). P38 MAPKs (otherwise identified as MAPK14 in the kinome result), which transduce extracellular signals from microbial products to activate pro-inflammatory mediators [14, 19], were significantly phosphorylated during EHEC challenge (Additional file 2: Figure S2B, C). However, cells pre-exposed to either inulin or scFOS have decreased phosphorylation of p38 across both the kinome array and western blotting. Similarly, ERK1/2 MAPKs, the most highly predicted target from MAPK interaction network (Additional file 2: Figure S2A), were also dampened by inulin and scFOS (Additional file 2: Figure S2B, C). Therefore, these results demonstrate that prebiotic exposure may directly alter host inflammatory signaling.
Prebiotics directly dampen LPS-induced inflammation in vivo
Colonic microbiota relative abundance and function are unchanged by short-term ingestion of inulin or scFOS
The benefits of prebiotics on host health and disease have traditionally centered on their interactions with resident gut microbes . Emerging evidence suggests prebiotics may also exert direct immune-modulatory effects on the intestinal mucosa, but how these effects are mediated is unclear. To this end, we used a systems biology approach to investigate signaling responses of IECs following exposure to prebiotics. Importantly, we demonstrated that in the absence of microbes, prebiotics directly regulate the phosphorylation of select host signaling molecules to alter mucosal responses to injury. This conclusion is supported by several lines of evidence: firstly, prebiotic-treated IECs exhibited hyporesponsiveness to MAPK and NF-κB activations when challenged by EHEC O157:H7, inflammatory cytokines or LPS. Secondly, inulin and scFOS both altered the phosphorylation status of kinases from several classical pathways of innate immunity. Thirdly, a single oral gavage of prebiotic mitigated LPS-TLR4 inflammation without altering the gut microbiota in newborn pups. Taken together, these results indicate that in addition to manipulating gut microbes, prebiotics also directly impact signaling in the intestinal mucosa.
Prebiotic-mediated immune regulation has been previously described in several disease models, including obesity, diabetes and infectious colitis [21–23]. In a model of obesity and type 2 diabetes, feeding oligofructose to leptin-deficient mice decreased the expression of pro-inflammatory cytokines and markers of oxidative stress . Although these changes were previously linked to the induction of Bifidobacteria spp. in the colon, recent studies show that immune changes can also occur independent of the gut microbiota [8, 9, 23, 24], which suggests prebiotics may mediate a direct role on regulating host inflammation. Our study provides a molecular explanation whereby prebiotics directly alter kinome activities to regulate host signaling pathways, including TLRs, MAPKs and NF-κB. This observation agrees with previous in vitro work that have shown monocytes, DCs and IECs can all release cytokines in response to prebiotics and are abolished with TLR4 inhibition using either neutralizing antibodies or siRNAs [5–7, 25].
There is crucial functional relevance of prebiotics downregulating mucosal immune signaling. Mucosal TLR activation contributes to anti-microbial defense and epithelial barrier integrity [16, 26], but excessive activation triggers mucosal inflammation and tissue damage . For example, dysregulated intestinal TLR4 activation generates chronic inflammation and intestinal epithelial apoptosis in the setting of necrotizing enterocolitis (NEC), the current leading cause of death among preterm infants . Interestingly, human milk prebiotic oligosaccharides prevent NEC in rats and piglets [29, 30], possibly via direct immune-modulatory effects which inhibit LPS-induced TLR4 signaling . Clinically, while mixtures of galactooligosaccharides (GOS) and long-chain FOS (9:1) were reported to reduce NEC incidence in very-low-birth-weight infants , a similar benefit was not seen with the longer chained inulin . We extended these findings by showing that certain prebiotic structures directly modulate mucosal signaling to facilitate host immune resistance. Dietary prebiotics may thus be crucial immune educators for the neonatal intestine. Further elucidation of the signaling differences between prebiotic structures, particularly in chain lengths, side chains, and human versus plant sources, will be important for designing optimal strategies to prevent inflammatory conditions. Therefore, future studies need to address the structure-function relationship of prebiotics to better delineate underlying mechanism(s) of action.
Interestingly, the most pronounced effect we identified was the downregulation of IRAKs—upstream TLR signal transducers that activate NF-κB and MAPK pathways . In our study, scFOS blunting of IRAK4 phosphorylation paralleled the repression of MAPK and NF-κB, and also correlated with the reduction in IL-8 expression in Caco-2Bbe1 cells. Similarly, immune reactivity to LPS was attenuated in mouse pups receiving either inulin or scFOS, suggesting a role for prebiotics as TLR regulators to constrain immune-reactivity against external stimuli. Indeed, downregulation of IRAK1 dampens LPS sensitivity in macrophages and IECs, and is critical for immune tolerance [35–37]. On the other hand, uncontrolled activation of select kinases may exacerbate intestinal inflammation. For instance, in the kinome profiles of patients with Crohn’s disease and ulcerative colitis, inflamed tissues have significant activation of p21Rac signaling . Although p21Rac was not one of the targets on our kinome array, several p21Rac downstream targets including p38 MAPK and p21-activated kinase-4 (PAK4) were highly downregulated by inulin and scFOS, suggesting an anti-inflammatory response. This also fits with the previous observations that p38 MAPK inhibitors can significantly reduce inflammation in human endoxtemia . Together, these findings suggest that a tolerogenic effect on host kinome may be mediated by mucosal exposures to prebiotics that are independent of microbiota. However, one caveat to this interpretation is that we did not incorporate germ-free animals in the LPS-endotoxemia challenge. Although we have shown in conventionalized mice that there were no changes in microbial relative abundance or function with inulin and scFOS, we cannot completely exclude other microbial interactions. Validation of these direct kinome-mediated immune responses in germ-free animals could be the subject for future research.
Despite having identical monosaccharide linkages and differing only by lengths, inulin and scFOS induced entirely divergent signaling cascades. ScFOS modulated multiple canonical pathways including MAPK, TLR and TGFβ, whereas inulin affected only the MAPK pathway. Although this difference could be attributed to steric hindrance for receptor binding, it is likely that other factors, such as membrane fluidity or receptor clustering could also be involved . The specific structural requirement for prebiotic effects is further supported by previous studies. For example, only fructans of certain lengths protect barrier function in IECs , and only oligosaccharides with sialic acid side-chains reduce the severity of injury in a rat model of NEC . The present work adds another layer of complexity to this structure-function relationship by demonstrating that prebiotic signaling is also highly variable between structures. Whether this variation explains the different clinical utility of therapeutic prebiotic oligosaccharides warrants further research.
Although kinase-phosphorylation events represent an important component of host cell signaling networks, there are 518 identified in humans, each of which harbors multiple phosphorylation sites and identified substrates . The DPPs uncovered here, though relevant, may therefore only be a small sample of the overall kinome changes induced by prebiotics. Additionally, we acknowledge that although kinase-phosphorylation events represent one potential mechanism of prebiotic immunomodulation, there may well be other post-translational modifications involved, such as methylation, ubiquitination and SUMOylation that also regulate host cell signal transductions. For instance, chitosan oligosaccharides (DP = 2–8) were shown to reduce LPS-induced inflammation in vascular endothelial cells by directly suppressing NF-κB-O-GlcNAcylation to dampen inflammatory signaling . Despite these additional possibilities, our study nevertheless provides strong proof-of-principle that prebiotic exposure directly alters the kinome landscape to regulate signaling in the host intestine.
In conclusion, our findings identify prebiotics as potent modulators of host innate immune pathways to prevent bacterial-, LPS- and cytokine-induced inflammation. Specifically, these changes are due to the direct effects on host kinome activities, which are specific to the structure of the prebiotic. Therefore, these results show that, besides altering the gut microbiota, prebiotics can directly elicit signal transduction effects and facilitate innate immune tolerance to support intestinal homeostasis.
Caco-2Bbe1 human colonic epithelial cells were obtained from American Type Culture Collection (Manassas, VA) and grown at 37 °C in 5% CO2 using Dulbecco’s modified Eagle’s medium (DMEM) (Life Technologies, Thermo Scientific, Burlington, Canada) supplemented with 10% fetal bovine serum (Life Technologies), 0.01 mg/ml human transferrin (Sigma, St. Louis, MO), and 1 mM sodium pyruvate (Gibco, Waltham, MA). Cells were seeded onto six-well plates at a density of 5 × 105 cells/well for infection assays and culture media changed every 2 days.
As described previously , short-chain fructooligosaccharide and inulin were obtained from Nutrition GTC (Golden, Colorado) and Quadra Chimie Lté (Vandreuil, Canada), respectively. ScFOS contains 2–9 degrees of polymerization (DP) of fructose monomers while inulin has a DP of > 10. To treat cells, powdered prebiotics were solubilized in warm (37 °C) culture medium at 10% w/v and added into wells. For in vivo experiments, prebiotics were solubilized in warm PBS at 10% w/v and orally gavaged into mouse pups at a concentration of 10 mg/g of body weight.
Enterohemorrhagic Escherichia coli serotype O157:H7, strain CL56 colonies were grown overnight at 37 °C on Columbia 5% blood agar plates (BBL, Sparks, MD). Prior to the day of infection, individual colonies were grown statically overnight in Penassay broth (Gibco) at 37 °C, and subcultured the next day in Penassay broth for 3 h. As described previously , bacterial cells were spun down and pellets resuspended in antibiotic-free DMEM. At a MOI of 10:1, EHEC was added onto Caco-2Bbe1 monolayers for 3 h to monitor IκBα, p-NF-κB, and the phosphorylation of p38 and ERK1/2 MAPKs. To measure IL-8 expression, EHEC was maintained for 6 h prior to TriZOL extraction (see below). For non-EHEC stimulations of NF-κB, TNF-α (Sigma) was added at 20 ng/ml (at 30 min) to monitor IκBα protein levels, 10 ng/ml (at 15 min) for NF-κB p65 nuclear translocation and 20 ng/ml (at 6 h) to monitor IL-8 expression; IFN-γ (Sigma) and TNF-α (Sigma) were both added at 20 ng/ml (at 15 min) for IκBα degradation; and LPS (Sigma) was added at 200 ng/ml (at 30 min) to measure IκBα protein degradation.
Experimental murine endotoxemia
Animal ethics approval for this study was obtained from the Ethics Committee of the Hospital for Sick Children, Toronto, Canada (protocol #32238). All methods performed were carried out in accordance with the approved guidelines and regulations. Protocols were adopted from a previous report . Briefly, wild-type C57BL/6 mice were obtained from Jackson Laboratory (Bar Harbor, ME). Ten-day-old mice were separated from dams and placed nil per os for 6 h. Endotoxemia was induced via an intraperitoneal injection of LPS (5 mg/kg, 16 h, Thermo Scientific). PBS control, inulin or scFOS were orally gavaged 1 h prior to LPS injection. Terminal ileal sections were stored at − 80 °C and used for histological examination, cytokine analysis via qPCR and western blotting to determine MAPK activation. Protein lysis of mouse terminal ileum was done by suspending 5 mm of ileal segments in RIPA-lysis buffer with 30 s of sonication.
Caco-2Bbe1 cells were lysed using 2% NP-40 RIPA buffer added with protease and phosphatase inhibitors, as described elsewhere . Lysates were separated using sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and separated protein contents transferred onto nitrocellulose membranes (BioTrace NT). Primary antibodies used include mouse anti-p-NF-κB-p65 (Cell Signaling, Danvers, MA), rabbit anti-IκBα (Cell Signaling), rabbit anti-p-ERK 1/2 (Cell Signaling), rabbit anti-ERK 1/2 (Cell Signaling), rabbit anti-p-p38 (Cell Signaling), rabbit anti-p38 (Cell Signaling), mouse anti-GAPDH (Santa Cruz, Dallas, TX) and anti-NF-κB-p65 (Santa Cruz). Membranes were washed the next day and visualized using IRDye 680 goat anti-rabbit immunoglobulin G (IgG) (1:10,000 dilution) and IRDye 800 goat anti-mouse IgG secondary antibodies (1:10,000 dilution) (Rockland Immunochemicals, Gilbertsville, PA). Blots were analyzed using an Odyssey imaging system (LI-COR Biosciences, Lincoln, NE). Band intensities were measured using Gels Analyze tool in ImageJ version 1.48v (NIH), and densitometry ratios were derived by dividing band intensities to respective loading controls and expressed as fold change to control lanes (set at 1).
As previously described , Caco-2Bbe1 cells were grown using 1-mm glass coverslips and fixed for 10 min at 4 °C using paraformaldehyde. To immunostain for NF-κB-p65 nuclear translocation, cell monolayers were blocked using 3% bovine serum albumin (BSA, Sigma) and incubated with rabbit anti-NF-κB-p65 antibody (Santa Cruz) for 1 h. Cells were washed with cold PBS and incubated with Alexa fluor 488-conjugated goat anti-rabbit secondary antibody (1:5000) (Life Technologies). Cells were washed with cold PBS and added with 4′,6-diamidino-2-phenylindole (DAPI, Life Technologies) and mounted onto glass slides with ProLong antifade mounting solution (Molecular Probes®, Life Technologies). Images were taken using a Leica DMI6000B fluorescence microscope and companion DFC 360FX camera (Leica Microsystems, Concord, Canada).
RNA extraction for both Caco-2Bbe1 cells and murine ileal segments was performed using TriZOL per manufacture’s protocol (Thermo Fischer). All extracted RNA samples were standardized to 50 ng/μl and reverse-transcribed to cDNA samples using iScript cDNA synthesis system (Bio-Rad, Hercules, CA) as described previously . qRT-PCR reactions were performed on a CFX96 C1000 Thermal Cycler (Bio-Rad) using Ssofast Evagreen Supermix (Bio-Rad). The following primers (5′-3′) were used:
human-GAPDH, ACCCACTCCTCCACCTTTGAC (forward), CCACCACCCTGTTGCTGTAG (reverse); human-β-actin, CTGGAACGGTGAAGGTGACA (forward), AAGGGACTTCCTGTAACAATGCA (reverse); human-IL-8, ACTGAGAGTGATTGAGAGTGGAC (forward); AACCCTCTGCACCCAGTTTTC (reverse);
Murine-GAPDH, TGAAGCAGGCATCTGAGGG (forward), CGAAGGTGGAAGAGTGGGAG (reverse); Murine-IL6, CCAATTTCCAATGCTCTCCT (forward), ACCACAGTGAGGAATGTCCA (reverse); Murine-MIP2, AAAATCATCCAAAAGATACTGA (forward), CTTTGGTTCTTCCGTTGAGG (reverse); Murine-IL-17, CTTGGCGCAAAAGTGA (forward); TTGCTGGATGAGAACAGAA(reverse); Murine-Ly6G2, TGCGTTGCTCTGGAGATAGA (forward); CAGAGTAGTGGGGCAGATGG (reverse).
Expression levels were calculated by the ∆∆Ct method and normalized to reference housekeeping genes (human: GAPDH and β-actin, mouse: GAPDH).
Methods for the human peptide array were based on the protocol described previously [12, 42]. Briefly, approximately 106 Caco-2Bbe1 cells were seeded per well into six-well-tissue culture plates. Upon reaching confluence, cells were exposed to inulin or scFOS (10% w/v, 16 h) prior to 3 h challenge with EHEC (MOI of 10:1). Cells were then lysed using lysis buffer containing 20 mM Tris-HCl [pH 7.5], 150 mM NaCl, 1 mM EDTA, 1% Triton, 2.5 mM sodium pyrophosphate, 1 mM Na3VO4, 1 mM NaF, 1 μg/ml leupeptin, 1 g/ml aprotinin and 1 mM PMSF (all from Sigma). Protein samples from three separate experiments were spotted onto the peptide array for 2 h at 37 °C, and a total of 18 arrays (3 × biological replicates, 6 × biological conditions) were applied with a phospho-specific fluorescent ProQ Diamond phosphoprotein stain (Invitrogen). Arrays were washed three times with 20% acetonitrile before being dried completely. Phosphorylation levels were read using a GenePix Professional 4200A microarray scanner (MDS Analytical Technologies). Intensity signals were outputted as mean pixel intensity after subtraction of background subtraction with default scanner saturation levels, and averages of the nine intra-array technical replicates were used. Statistical testing, hierarchical clustering and coordinates for PCoA analysis were further processed through PIIKA2 (http://saphire.usask.ca/saphire/piika/), a web-based pipeline for kinome array processing .
Kinome data analyses
To identify peptides with significant changes, a paired t-test was performed through PIIKA2 to compare phosphorylation intensities of prebiotic conditions to non-prebiotic control conditions. The specific comparisons were inulin versus control, scFOS versus control, inulin plus EHEC versus EHEC alone, and scFOS plus EHEC versus EHEC alone. A significance threshold level of 0.010 was chosen as previously described to minimize false negatives and retain data coverage for subsequent pathway analyses [43, 44]. The identified peptides had high technical reproducibility (average of 260.7 out of 282 peptides were consistently phosphorylated over the nine intra-array technical replicates according to a χ 2 test) and were further analyzed for gene ontology and pathway annotations using DAVID . For data visualization in heatmap views, peptide phosphorylation intensities, fold changes and −log P values were uploaded onto GenePattern to generate heatmaps using the tool Interactive Heatmap Viewer . Visualization for the NF-κB pathway was performed using a commercial copy of Ingenuity Pathway Analysis (Qiagen Bioinformatics, Redwood City, CA). Protein interaction networks were constructed using the web-based gene network prediction tool GeneMania (http://genemania.org/) . DPPs were uploaded in the form of UniProt IDs with specific parameters set at Pathway for protein interactions, and a maximum of five for max resultant genes predicted using automatic weighting . Networks generated were uploaded and visualized using Cytoscape version 3.0 .
Quality statistics for metagenome functional content prediction from 16S rRNA gene sequences using PICRUSt. NSTI (Nearest Sequenced Taxon Index) values indicate the average branch length that connects each OTU to the closest reference bacterial genome available during functional content prediction
LPS + inulin
LPS + scFOS
Results were expressed as means ± SEM and were derived from at least three separate experiments. All comparisons were made using GraphPad Prism version 6 and STAMP for 16S rRNA gene sequencing data . Comparisons of multiple groups were done using one-way ANOVA with Bonferonni post hoc testing (P < 0.05 deemed as statistically significant). Comparisons of two groups were done using Welch’s two-sided t-tests with Welch’s inverted 95% CI and Benjamin-Hochberg FDR correction (Q < 0.05 significance threshold). For kinome array results, a P value threshold of 0.10 was applied to optimize pathway coverages as previously described [43, 44].
Research efforts are funded by the Canadian Institutes of Health Research (CIHR MOP-89894 and IOP-92890). RYW is the recipient of a CIHR Vanier Canada Graduate Scholarship. PMS is the recipient of a Canada Research Chair in Gastrointestinal Disease. Research efforts of the authors are supported by Lallemand Health Solutions (Montreal, Quebec, Canada).
Availability of data and materials
The 16S rRNA gene sequence analysis pipeline used during the current study is freely available at https://bitbucket.org/fwhelan/sl1p . The datasets generated and analyzed during this study and PICRUSt analysis code are available in the Figshare repository, https://doi.org/10.6084/m9.figshare.5425510.v1.
RYW, ES, BL, YK performed the experiments and necessary figures. PM, SN and ES prepared the kinome array experiments. BL, YK and AP performed the animal experiments. LR and MGS performed the 16S rRNA gene sequencing. Data analysis and interpretations were done by RYW, BL, SRB, PM and PMS. RYW, KJH and PMS wrote the manuscript and all of the authors revised and approved the final version of the manuscript.
Animal ethics approval for this study was obtained from the Ethics Committee of the Hospital for Sick Children, Toronto, Canada (protocol #32238). All methods performed were carried out in accordance with the approved guidelines and regulations.
Consent for publication
The manuscript does not contain any individual personal data in any form.
PMS has received honoraria from Abbott Nutrition, Mead Johnson Nutritionals and Nestlé Nutrition.
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