Abstract
Intestinal epithelial cells (IECs), including secretory goblet cells, form essential physiochemical barriers that separate luminal bacteria from underlying immune cells in the intestinal mucosa. IECs are common targets for enteric bacterial pathogens, with hosts responding to these microbes through innate toll-like receptors that predominantly signal through the MyD88 adaptor protein. In fact, MyD88 signaling confers protection against several enteric bacterial pathogens, including Salmonella enterica serovar Typhimurium and Citrobacter rodentium. Since IECs are considered innately hyporesponsive, it is unclear whether MyD88 signaling within IECs contributes to this protection. We infected mice lacking MyD88 solely in their IECs (IEC-Myd88−/−) with S. Typhimurium. Compared to wild-type (WT) mice, infected IEC-Myd88−/− mice suffered accelerated tissue damage, exaggerated barrier disruption, and impaired goblet cell responses (Muc2 and RELMβ). Immunostaining revealed S. Typhimurium penetrated the IECs of IEC-Myd88−/− mice, unlike in WT mice, where they were sequestered to the lumen. When isolated crypts were assayed for their antimicrobial actions, crypts from IEC-Myd88−/− mice were severely impaired in their antimicrobial activity against S. Typhimurium. We also examined whether MyD88 signaling in IECs impacted host defense against C. rodentium, with IEC-Myd88−/− mice again suffering exaggerated tissue damage, impaired goblet cell responses, and reduced antimicrobial activity against C. rodentium. These results demonstrate that MyD88 signaling within IECs plays an important protective role at early stages of infection, influencing host susceptibility to infection by controlling the ability of the pathogen to reach and survive at the intestinal mucosal surface.
INTRODUCTION
Each year, enteric infections cause more than 1.5 billion cases of diarrheal disease, along with more than 2 million deaths (1). Many of these cases reflect infection by bacterial pathogens such as Salmonella enterica serovar Typhimurium and enteropathogenic Escherichia coli (EPEC) (1, 2). Although bacterial virulence factors play a significant role in determining whether an infection is successful, the host's innate immune response also plays an integral role in determining its overall susceptibility to infection, as well as regulating the course and severity of disease suffered during a successful infection. A significant aspect of the host's innate response to such infections is mediated by toll-like receptor (TLR) signaling pathways, most of which signal by recruiting the key adaptor protein myeloid differentiation factor 88 (MyD88) (3). Ligation of most TLRs by conserved microbe-associated molecular patterns, as well as interleukin-1 and -18 receptors (IL-1R and IL-18R, respectively), by their respective ligands results in recruitment of MyD88 to the receptor complex, initiating its activation and a cascade of signaling events leading to the activation of an array of inflammatory genes (3).
Although first recognized for its role in proinflammatory pathways, several studies in recent years have uncovered a critical protective role for MyD88 signaling in the promotion of mucosal homeostasis following inflammatory insult (4–11). This notion was first identified when Myd88-deficient (Myd88−/−) mice were shown to be highly susceptible to dextran sodium sulfate (DSS)-induced colitis (4). MyD88 signaling was found to play a key protective role, promoting the production of tissue protective factors and the increased proliferation of IECs during colitis, with mice lacking MyD88 suffering widespread mucosal tissue damage and ulceration. Later work by our group and others found that MyD88 also played an essential protective role during the infectious colitis caused by the natural murine pathogen Citrobacter rodentium (5, 6), a close relative of EPEC (12).
Bone marrow transplantation studies have shown that the protective effects of MyD88 during colitis reflect signaling in both the hematopoietic and the nonhematopoietic cell compartments (6, 10, 11). While many of the MyD88-dependent changes that prove protective during colitis reflect changes in intestinal epithelial cell (IEC) function and/or proliferation, it remains uncertain whether any of the protective signaling occurs within the IECs themselves. Considering that the IEC layer is in constant contact with commensal microbes, these cells are known to be innately hyporesponsive to most bacterial products as a way to prevent overt spontaneous inflammatory responses against commensal microbes (13–15). In fact, several groups have studied the specific role of MyD88 signaling in IECs during DSS-induced colitis, and most, but not all, studies found little evidence for its involvement (9, 16). Correspondingly, in a recent study where we examined whether IECs played any role in responding to C. rodentium infection, we found no evidence that IEC-Myd88−/− mice were more susceptible to infection than wild-type (WT) mice, although in this study we focused solely on later stages of infection (15).
Considering that innate signaling within IECs might have a greater impact at early stages of infection, prior to the recruitment of large numbers of inflammatory cells, we decided to reexamine the role of MyD88 signaling in IECs. Therefore, we infected WT and IEC-Myd88−/− mice with the enteric pathogens S. Typhimurium and C. rodentium and examined responses at very early time points. We found that the loss of MyD88 signaling in IECs increased early susceptibility to infection, impairing the induction of several key antimicrobial genes as well as the expression of the goblet cell (GC)-specific factors Resistin-like molecule beta (Relmβ) and mucin 2 (Muc2) during infection. Correspondingly, the bactericidal activity of crypt supernatants from IEC-Myd88−/− mice was significantly reduced against both S. Typhimurium and C. rodentium compared to that of crypts isolated from WT mice. This impairment in antimicrobial defenses appears to facilitate the ability of these bacterial pathogens to reach and infect the intestinal epithelium, resulting in accelerated intestinal tissue damage and barrier dysfunction. Thus, our study demonstrates that MyD88 signaling in the intestinal epithelium in vivo confers protection to the host at the initial stages of an enteric bacterial infection.
MATERIALS AND METHODS
Mice.
MyD88 flox/flox mice and Villin-cre mice (all on a C57BL/6 genetic background) were purchased from The Jackson Laboratory. IEC-Myd88−/− mice were generated by crossing MyD88 flox/flox mice with Villin-cre mice, and the resulting litters were genotyped. MyD88 flox/flox mice were used as wild-type controls for all studies. All mice were kept in sterilized, filter-topped cages and fed autoclaved food and water under specific-pathogen-free conditions at the Child and Family Research Institute (CFRI). The protocols employed were approved by the University of British Columbia's Animal Care Committee and were in direct accordance with guidelines provided by the Canadian Council on the Use of Laboratory Animals.
Bacterial strains and infection of mice.
The Salmonella Typhimurium SL1344 ΔaroA mutant (17) and streptomycin-resistant Citrobacter rodentium DBS100 (formerly C. freundii biotype 4280, strain DBS100) strains were grown with shaking (200 rpm) at 37°C in Luria-Bertani (LB) broth supplemented with 100 μg/ml streptomycin. Twenty-four h prior to SL1344 ΔaroA mutant infection, 6- to 10-week-old mice were treated with 20 mg of streptomycin (in 100 μl) by oral gavage. Mice were infected with 3 × 106 CFU of Salmonella in 100 μl phosphate-buffered saline (PBS) buffer (pH 7.2) by oral gavage. Mice infected with C. rodentium were inoculated by oral gavage with 100 μl of overnight culture (∼2.5 × 108 CFU).
Tissue collection and bacterial counts.
Mice were anesthetized with isoflurane and euthanized via cervical dislocation at various time points over the course of infection. For bacterial cell counts, the cecum, colon, and luminal contents each were collected and homogenized separately in 1 ml of sterile PBS. Samples were serially diluted and plated on streptomycin-supplemented LB agar plates and incubated at 37°C overnight, and colonies were enumerated and normalized to the weight of the tissues. For histology, cecal samples were fixed in 10% neutral buffered formalin (Fischer Scientific) overnight, transferred to 70% ethanol, embedded in paraffin, and cut into 5-μm sections.
Histology scoring.
Five-μm tissue sections were stained with hematoxylin and eosin (H&E) (by the histology laboratory at the CFRI) and were examined by two blinded observers to assess histological damage. Tissue sections were assessed for (i) submucosal edema (0, no change; 1, mild; 2, moderate; 3, severe); (ii) hyperplasia (0, no change; 1, 1 to 50%; 2, 51 to 100%; 3, >100%); (iii) goblet cell depletion (0, no change; 1, mild depletion; 2, severe depletion; 3, absence of goblet cells); (iv) epithelial integrity (0, no pathological changes detectable; 1, epithelial desquamation [a few cells sloughed, surface rippled]; 2, erosion of epithelial surface [epithelial surface rippled, damaged]; 3, epithelial surface severely disrupted/damaged, large amounts of cell sloughing; 4, ulceration [with an additional score of 1 added for each 25% of tissue in the cross-section affected, e.g., a large ulcer affecting 70% of the tissue section would be scored 4 + 3]); (v) mucosal mononuclear cell infiltration (per ×400 magnification field) (0, no change; 1, <20; 2, 20 to 50; 3, >50 cells/field); and (vi) submucosal polymorphonuclear leukocytes (PMN) and mononuclear cell infiltration (per ×400 magnification field) (1, <5; 2, 21 to 60; 3, 61 to 100; 4, >100 cells/field). The maximum possible score was 22.
Commensal microbe analysis.
Microbial composition analysis was performed by quantitative PCR (qPCR) as described previously (18). DNA was extracted from at least two fecal pellets per animal using the Qiagen DNA stool extraction kit. Fifty ng of extracted DNA per reaction was used for qPCR. 16S rRNA group-specific primers were used to determine the relative abundance of the selected bacterial phyla: Bacteroidetes (5′-GAG AGG AAG GTC CCC CAC-3′ and 5′-CGC TAC TTG GCT GGT TCA G-3′) (19), Firmicutes (5′-GGA GYA TGT GGT TTA ATT CGA AGC A-3′ and 5′-AGC TGA CGA CAA CCA TGC AC-3′) (20), and Gammaproteobacteria (5′-TCG TCA GCT CGT GTY GTG A-3′ and 5′-CGT AAG GGC CAT GAT G-3′) (21). Universal Eubacteria primers (5′-ACT CCT ACG GGA GGC AGC AGT-3′ and 5′-ATT ACC GCG GCT GCT GGC3′) (22) were used to determine total bacterial 16S rRNA in each sample, and the relative abundance of each taxonomic group was determined by calculating the average threshold cycle (CT) value relative to this number, normalized to each primer's determined efficiency.
FITC-dextran intestinal permeability assay.
The fluorescein isothiocyanate (FITC)-dextran intestinal permeability assay was performed as previously described (15). Uninfected mice or mice at day 1 (D1), D3, or D4 postinfection (pi) were gavaged with 150 μl of 80 mg/ml 4-kDa FITC-dextran (Sigma-Aldrich) in PBS 4 h prior to sacrifice. Mice were anesthetized, and blood (∼500 μl) was collected by cardiac puncture and added immediately to a final concentration of 3% acid-citrate dextrose (20 mM citric acid, 100 nM sodium citrate, 5 mM dextrose). The FITC-dextran concentration in serum was measured using a fluorometer (Perkin-Elmer Life Sciences) (excitation wavelength, 485 nm; emission wavelength, 530 nm).
RNA extractions and quantitative real-time PCR.
Immediately following euthanization of mice, cecal tissues were placed in RNAlater (Qiagen) and stored at −80°C. Total RNA was extracted using a Qiagen RNeasy kit according to the manufacturer's instructions. Total RNA was quantified using a NanoDrop spectrophotometer, and cDNA was synthesized using 1 μg of RNA with an Omniscript reverse transcription (RT) kit (Qiagen). For the qPCR reaction, 5 μl of a 1:5 dilution of cDNA was added to 10 μl Bio-Rad SYBR green supermix with primers (final concentration, 300 nM; final volume, 20 μl), and qPCR was carried out using a Bio-Rad MJ MiniOpticon machine. Quantitation of data was carried out using Gene Expression Macro OM 3.0 software (Bio-Rad).
Immunohistochemistry.
Five-μm paraffin sections were deparaffinized by heating to 60°C for 15 min, cleared with xylene, rehydrated through an ethanol gradient to water, and steamed for 30 min in citrate buffer for antigen retrieval. Tissues then were blocked using blocking buffer (goat or donkey serum in PBS containing 1% bovine serum albumin [BSA], 0.1% Triton X-100, 0.05% Tween 20, and 0.05% sodium azide). The primary antibodies used were anti-Muc2, anti-Relmβ, anti-Ki-67, anti-Salmonella lipopolysaccharide (LPS), anti-β-actin, and anti-Tir, and the secondary antibodies were Alexa Fluor 568- or 488-conjugated goat anti-rabbit and goat anti-rat IgG and Alexa Fluor 568- or 488-conjugated donkey anti-rabbit or donkey anti-goat IgG. ProLong gold antifade reagent with 4′,6-diamidino-2-phenylindole (DAPI; Invitrogen) to stain DNA was used to mount tissues. Tissues were viewed on a Zeiss Axio Imager microscope, and images were taken using AxioVision software and an AxioCam HRm camera.
Fluorescence intensity measurements.
The fluorescence intensity of immunostained samples was assessed using ImageJ software to determine the ratio of Muc2 or Relmβ in each tissue section to DAPI staining. This was done using the integrated density measurement tool. Integrated density for each image was assessed on separate channels to determine the pixel intensity of DAPI and Muc2 or Relmβ for each section. The fluorescence intensity then was represented as the integrated density value of Muc2 or Relmβ relative to total DAPI integrated density values.
Crypt-killing assay.
As described previously (15, 23), cecal and colonic crypts were isolated from uninfected WT (C57BL/6) and IEC-Myd88−/− mice. Ceca and colons were extracted from mice following euthanization and placed in 50 μg/ml gentamicin in sterile PBS following removal of fecal contents. Tissues were washed 3× in the gentamicin-PBS solution, cut into small (0.5-cm) sections, and placed in a petri dish containing 10 ml of BD cell recovery solution at 4°C for 2 h. Crypts then were dislodged by gently flicking with forceps in the dish. Following centrifugation, crypts were resuspended in iPIPES buffer [10 mM piperazine-N,N′-bis(2-ethanesulfonic acid) (PIPES), pH 7.4, 137 mM NaCl] at 2,000 crypts per 40 μl buffer and incubated at 37°C for 30 min. Samples then were centrifuged, and supernatant was collected. Eleven μl of supernatant was added to 103 S. Typhimurium ΔaroA mutant cells, 103 C. rodentium cells, or 20 μM RegIII-γ as a positive control and incubated at 37°C for 2 h. Antimicrobial activity was assessed by counting overnight growth of crypt supernatant-treated S. Typhimurium ΔaroA mutant or C. rodentium and expressed as percent bacterial growth relative to overnight growth observed in cultures treated with sterile iPIPES alone.
Statistical analysis.
All results presented in this study are expressed as the mean values ± standard errors of the means (SEM). Nonparametric Mann-Whitney t tests or Student's t tests were performed using GraphPad Prism software, version 5.00, for Mac. A P value of 0.05 or less was considered significant.
RESULTS
IEC-Myd88−/− mice suffer exaggerated S. Typhimurium-induced gastroenteritis.
To assess whether IEC-specific MyD88 signaling plays any role in regulating host defense and intestinal inflammation in response to S. Typhimurium, we infected Myd88 flox/flox (WT) and IEC-Myd88−/− mice with the S. Typhimurium ΔaroA mutant and assessed body weights over the ensuing 7 days. This Salmonella strain was chosen because it does not kill mice on a C57BL/6 genetic background, whereas it still causes severe gastroenteritis in infected mice (24, 25). Although 6- to 8-week-old WT and IEC-MyD88−/− mice displayed similar body weights (data not shown), infected WT mice showed an early weight gain at D1 to 3 pi, followed by modest weight loss, while IEC-Myd88−/− mice exhibited significantly greater (*, P < 0.05) weight loss (∼5%) over the first 6 days of infection (Fig. 1A). Following their euthanization at specific time points, infected IEC-Myd88−/− mice showed greater macroscopic intestinal damage than WT mice, with severely shrunken ceca that were devoid of stool content as early as D1 pi (Fig. 1B).
As the majority of the pathology seen in this model occurred in the cecum, we focused our subsequent analysis on this region. At both D1 and D3 pi, IEC-Myd88−/− mice displayed significantly greater cecal histopathology scores than WT mice, represented by increased GC depletion, IEC damage, and inflammatory cell infiltration (P < 0.001) (Fig. 2A and B). Specifically, we noted the presence of more macrophages and neutrophils infiltrating the cecal tissues of the IEC-Myd88−/− mice, although infected WT and IEC-Myd88−/− mice showed similarly increased gene transcript levels for the chemokines MCP-1 and MIP-2α (Fig. 2C). While IEC-Myd88−/− mice showed decreased induction of gene transcript levels for the inflammatory cytokine tumor necrosis factor alpha (TNF-α) compared to WT mice, gamma interferon (IFN-γ), IL-1β, and IL-17A were induced to similar levels at D1 pi (*, P < 0.05) (Fig. 2C).
IEC-Myd88−/− mice show altered localization of S. Typhimurium within ceca.
As increased intestinal pathology often is associated with higher pathogen burdens during infection, we enumerated the S. Typhimurium ΔaroA mutant within cecal tissues and within the lumen, as well as in the spleen and liver tissues of mice at D1 and D3 pi. Surprisingly, no significant differences in pathogen burdens were found at any of these sites at either time point (Fig. 3A). Since exaggerated inflammation also could reflect deeper penetration of tissues by the pathogens, we next used immunostaining to visualize the location of S. Typhimurium within the intestine. Immunostaining for Salmonella LPS revealed that the majority of S. Typhimurium remained sequestered within the cecal lumen in WT mice, whereas in IEC-Myd88−/− mice, the S. Typhimurium organisms were found in close proximity to the epithelial surface, as outlined by staining for β-actin (Fig. 3B).
IEC-specific MyD88 signaling does not overtly alter the gut microbiome.
Host susceptibility to enteric bacterial infections can be influenced by differences in the makeup of the intestinal microbiota. A recent study reported that the commensal microbe populations of IEC-Myd88−/− mice differed from that of WT mice under baseline conditions (16). While our pretreatment of mice with the antibiotic streptomycin likely minimized any impact of the microbiota in our infections, we decided to assess the intestinal microbiomes of the mice at our facility both pre- and poststreptomycin treatment. Using qPCR analysis of fecal pellets, we found that members of the phylum Bacteroidetes were the dominant commensals present under uninfected conditions in both groups (∼50 to 70%), whereas smaller numbers of Firmicutes (∼5 to 10%) and other bacteria represented the remainder of the commensals. There was a substantial shift in bacterial populations after streptomycin treatment at D1 pi, with significant decreases seen in both Bacteroidetes and Firmicutes and a significant increase in Gammaproteobacteria (∼35 to 60%, likely largely representing Salmonella) in both WT and IEC-Myd88−/− mice (Fig. 3C). Despite modest differences in the exact percentages of the different phyla between WT and IEC-Myd88−/− mice, no overt/significant differences in commensals were noted between strains under uninfected conditions or poststreptomycin treatment, infected conditions (Fig. 3C).
MyD88 signaling in IECs protects barrier integrity during infection.
Several previous studies have implicated MyD88-dependent signaling as driving profound protective changes in IEC proliferation and barrier function (4, 5) during infectious or chemically induced models of colitis. Moreover, defects in IEC responses could be responsible for the exaggerated cecitis suffered by the IEC-Myd88−/− mice. Therefore, we examined whether the barrier maintenance and increased IEC proliferation that develop during S. Typhimurium infection were mediated by MyD88 signaling within the IECs.
Following oral gavage of FITC-dextran, we found that IEC-specific MyD88 signaling had no effect on baseline barrier function, as serum FITC-dextran levels were similar in uninfected WT and IEC-Myd88−/− mice (Fig. 4A). In contrast, although the S. Typhimurium ΔaroA mutant was able to cause a modest impairment in epithelial barrier function in WT mice by D1 that lasted until D3 pi (*, P < 0.05), infected IEC-Myd88−/− mice demonstrated significantly greater (2-fold) intestinal permeability at D1 (*, P < 0.05) than WT mice. By D3 pi, while the FITC-dextran levels in IEC-Myd88−/− mice still were significantly higher than those of uninfected mice (**, P < 0.005) (Fig. 4A), they were no longer significantly higher than the levels in WT mice.
We next immunostained tissues for Ki-67, a nuclear factor marking cell proliferation (Fig. 4B), and noted similar levels of baseline IEC proliferation in uninfected WT and IEC-Myd88−/− mice. In contrast, at D1 pi, IEC proliferation was significantly increased (measured as percent Ki-67-positive cells per crypt) in IEC-Myd88−/− crypts compared to WT crypts (***, P < 0.0005) (Fig. 4C). By D3 pi, IEC proliferation continued to increase in both groups, such that there were no significant differences between the two groups (Fig. 4C). These data indicate that MyD88 signaling within IECs plays a critical role in promoting protective barrier responses early during S. Typhimurium ΔaroA mutant infection. In contrast, MyD88 signaling within IECs is not required for the increased proliferation of IECs seen during infection, with the more rapid induction of proliferation in the IEC-Myd88−/− mice likely reflecting the accelerated inflammation these mice suffer.
IEC-Myd88−/− mice are impaired in antimicrobial and goblet cell-specific responses.
While impaired IEC barrier function could help drive the exaggerated inflammation suffered by infected IEC-Myd88−/− mice, we examined whether there were other defects in IEC function/defense that could be involved. Interestingly, IEC-dependent MyD88 signaling previously has been found to maintain a microbial free zone above the host's mucosal surface in the small intestine (26). Upon assessment of several antimicrobial factors by qPCR, we found that they were expressed similarly in cecal tissues of the two mouse strains under uninfected conditions. As Vaishnava et al. (26) have previously reported a significant reduction of RegIII-γ gene transcript levels in the terminal ileum of uninfected IEC-MyD88−/− mice, we assessed its levels in the terminal ileum of our IEC-MyD88−/− mice and confirmed that compared to WT mice, RegIII-γ gene transcript levels in the ilea of IEC-MyD88−/− mice are impaired (data not shown). By D1 pi, transcription was significantly increased for several of these antimicrobial genes in WT mice; however, this induction was dramatically impaired for RegIII-γ (*, P < 0.05) (Fig. 5A) in the IEC-Myd88−/− mice. The induction of RegIII-β also seemed impaired, although the difference from WT mice did not reach significance.
Aside from antimicrobial factors, the mucosal surface of the large bowel is protected from luminal bacteria by a thick mucus layer that is largely comprised of the goblet cell-derived mucin Muc2. Therefore, we examined whether intrinsic MyD88 signaling affected goblet cell-specific factors. We assessed three goblet cell mediators, including Muc2, the proinflammatory mediator Relmβ, and the reparative trefoil factor 3 (TFF3). At the gene transcript level, all three were similar between IEC-Myd88−/− and WT mice under uninfected conditions. However, by D1 pi the transcript levels for all three factors were significantly lower in IEC-Myd88−/− mice than in WT mice (*, P < 0.05; **, P < 0.005) (Fig. 5B).
Based on the impaired transcriptional induction of goblet cell-specific factors in IEC-MyD88−/− mice, along with the ability of Relmβ to induce antimicrobial genes (27), i.e., the RegIII proteins, and the role played by Muc2 in generating the protective mucus barrier (28), we wanted to further assess changes in these factors during infection. We used immunostaining to determine whether Relmβ and Muc2 were differentially expressed in the two mouse strains at the protein level during S. Typhimurium ΔaroA mutant infection. Whereas similar levels of Relmβ staining were seen in uninfected cecal tissues of WT and IEC-MyD88−/− mice (Fig. 6A), by D1 up to D7 pi there was a significant increase in detection of this protein within the goblet cells in WT mice (Fig. 6A), whereas there was little to no positive staining seen in tissues from infected IEC-Myd88−/− mice (Fig. 6A).
To semiquantify the expression of these proteins, Relmβ fluorescence intensity relative to that of DAPI in each section was assessed using the ImageJ integrated density analysis tool. By D1 pi, there was a 2-fold greater fluorescence intensity of Relmβ (relative to DAPI) in WT tissues than in IEC-Myd88−/− tissues. This increased to 6-fold by D3, which continued (and was significant) at D7 pi (Fig. 6C). Similarly, although comparable Muc2 staining was observed in uninfected WT and IEC-Myd88−/− tissues (Fig. 6B), by D1 up to D7 pi, WT tissues showed significantly increased Muc2 staining compared to that of IEC-Myd88−/− mice. Fluorescence intensity of Muc2 relative to that of DAPI was significantly greater in WT tissues at D1 pi (4-fold increase; *, P < 0.05) as well as at D3 (2-fold increase; **, P < 0.005) and D7 (2-fold increase; *, P < 0.05) pi (Fig. 6C).
IEC-Myd88−/− mice also show early susceptibility to C. rodentium infection.
While our results clearly showed that IEC-Myd88−/− mice display increased susceptibility to early stages of S. Typhimurium infection, in an earlier study we found that MyD88 signaling within IECs played little role in regulating host responses to C. rodentium infection (15). Notably, the earliest time point we had studied with these mice was D6 pi. Therefore, we examined whether IEC-Myd88−/− mice showed any defects in promoting host defense against C. rodentium at an earlier time point, i.e., at D4 pi. Following euthanization and removal of the entire large bowel, IEC-Myd88−/− mice showed increased macroscopic damage in the form of shrunken ceca and shortened colons compared to WT mice (Fig. 7A). Interestingly, no differences in pathogen burdens were found between WT and IEC-Myd88−/− mice upon enumeration of C. rodentium in cecal tissue, luminal contents, and colonic tissues of infected mice (Fig. 7B).
To ensure consistency in our examination of responses, we once again focused our analysis on the cecum. Although the ceca of WT and IEC-Myd88−/− mice appeared similar under uninfected conditions, at D4 pi the IEC-Myd88−/− mice exhibited significantly increased histological damage scores compared to WT mice (Fig. 7C and D). Specifically, IEC-Myd88−/− mice displayed increased crypt hyperplasia, edema, and greater inflammatory cell infiltration at D4 pi (Fig. 7D), but by D6 pi, pathology was similar between the two strains. FITC-dextran again was used to assess intestinal barrier permeability, and although there was a greater increase in FITC-dextran serum levels in IEC-Myd88−/− mice than in WT mice at D4 pi, it did not reach statistical significance (Fig. 8A).
Consistent with our assessment of S. Typhimurium infection, we next examined whether goblet cell-derived factors as well as antimicrobial responses were impaired in IEC-Myd88−/− mice during C. rodentium infection. Immunostaining revealed that at both D4 and D6 pi, WT tissues had greater Muc2-positive staining than IEC-Myd88−/− mice (Fig. 8B). To examine the effects of these changes on C. rodentium localization during infection, we stained tissues for the C. rodentium translocated effector Tir. In WT tissues, most C. rodentium organisms were found segregated within the cecal lumen at D4 pi; however, at the same time point in IEC-Myd88−/− mice, C. rodentium had successfully infected most of the cecal crypt epithelium (Fig. 8C).
Based on the impaired induction of goblet cell mediators and antimicrobial factors in IEC-Myd88−/− mice, as well as much closer epithelial association of bacteria during both S. Typhimurium and C. rodentium infection, we examined whether the antimicrobial activity at the intestinal mucosal surface was impaired in these mice. We isolated crypts from uninfected IEC-Myd88−/− and WT mice and collected their stimulated crypt supernatants to examine their bactericidal activity against the S. Typhimurium ΔaroA mutant and C. rodentium. As shown in Fig. 8D, relative to the growth of bacteria exposed to the negative control of iPIPES buffer alone, WT mouse crypt supernatants had direct bactericidal activity against Salmonella as well as C. rodentium (Fig. 8D), similar to that seen with purified RegIII-γ (positive control). When incubated with supernatants from IEC-Myd88−/− crypts, although some bactericidal activity was observed, it was significantly decreased against both bacterial strains compared to that of WT supernatants (P < 0.0005) (Fig. 8D). Thus, MyD88 signaling within IECs plays a key role in promoting antimicrobial defenses at the intestinal mucosal surface. Taken together, these results indicate that MyD88 signaling in IECs can actually determine host susceptibility to infection, potentially by controlling the ability of the pathogen to reach and survive at the surface of the intestinal epithelium and avoid subsequent accelerated intestinal tissue damage.
DISCUSSION
MyD88-dependent signaling previously has been shown to play a critical role in host defense against a number of bacterial pathogens (5, 6, 10); however, its role in the gastrointestinal tract appears to be unique, not only controlling pathogen burdens but also limiting pathogen access to mucosal tissues and limiting the tissue damage resulting from these infections. As many of these protective MyD88-dependent responses involve changes in the level of proliferation or function of the IEC layer, it was of significant interest to clarify whether these changes arose from intrinsic MyD88 signaling within the IECs themselves. In this study, we clearly showed that loss of MyD88 signaling in IECs leads to increased susceptibility to infection and to worsened intestinal tissue damage at the early stages of infection by two different bacterial pathogens. Mice lacking MyD88 signaling within their IECs were impaired in their ability to maintain barrier integrity or upregulate the expression of goblet cell or antimicrobial mediators during infection, allowing enteric pathogens to come into closer proximity with the intestinal epithelium and more rapidly cause infection. Through crypt-killing assays we found that crypts from mice lacking IEC-MyD88 signaling displayed significantly decreased antimicrobial capacity against both S. Typhimurium and C. rodentium. Thus, these findings expand our understanding of the role played by innate IEC signaling during in vivo enteric bacterial infections.
Several previous studies have shown that the global loss of MyD88 signaling in all cell types dramatically increased susceptibility of mice to colitis, leading to rapid mortality following induction of DSS or C. rodentium colitis (4–7). This susceptibility was found to reflect the loss of microbe-driven responses that promoted epithelial homeostasis and protection from epithelial injury. Striking defects observed in Myd88−/− mice included an inability to protect their IEC barrier function, resulting in exaggerated gut leakiness (4, 5). Moreover, these mice were unable to undergo the typical protective increases in colonic epithelial cell proliferation that develop during colitis, leaving them unable to readily replace damaged cells, resulting in widespread mucosal ulceration. In the current study, we clarify that at least in part, it is MyD88 signaling within the IECs themselves that protects/promotes IEC barrier function during infection, whereas this signaling is not required for the induction of increased IEC proliferation. In contrast, our results suggest that the proliferative status of IECs is driven by MyD88-dependent signaling by other cell types rather than IECs themselves.
There are three main subsets of IECs present within the large bowel, namely, enterocytes/colonocytes (80%), goblet cells (20%), and enteroendocrine cells (∼1%). The intestinal epithelial monolayer acts as a physical barrier between the external environment, including the commensal microbes, and host tissues (13). In addition, a thick mucus layer is present, composed primarily of mucins secreted by GCs, which separates potentially hazardous luminal bacteria from the mucosal surface to avoid spontaneous and/or maladaptive inflammatory activation. The underlying enterocytes and goblet cells produce several types of antimicrobial peptides (RegIII-γ, β-defensin-III, RegIII-β, and mCRAMP) as well as tissue protective factors (Relmβ, Muc2, and TFF3). Many of these proteins are thought to localize within the overlying mucus layer as an optimal location to impact invading pathogens or repair damage to underlying tissues. At least in the small bowel, it has been shown that the mucus layer and the apical release of antimicrobials creates a sterile zone overlying the epithelium that helps limit contact between the microbiota and the epithelial barrier (26). Impaired function of this barrier, due to either reduced mucus production or dysfunctional antimicrobial responses, may allow bacteria to reach the epithelial surface where they can trigger detrimental and prolonged inflammatory responses. Our results suggest that MyD88 also regulates this zone of separation in the large bowel, at least during infection, and that in its absence, S. Typhimurium and Citrobacter rodentium were able to come into much closer association with the mucosal surface and more quickly invade tissues, causing more rapid tissue damage.
Our results noted overt impairment in the infection-induced expression of GC mediators in IEC-Myd88−/− mice compared to WT mice. At present, it is unclear whether these results indicate that MyD88 signaling in IECs preferentially controls GC responses or whether they are simply the easiest changes to detect in our system. As GCs have a secretory phenotype, immunohistochemical techniques allowed us to easily visualize the changes occurring in several GC-specific mediators; however, these techniques are not as easily employed to assess changes in antimicrobial factors. Future work using mice lacking MyD88 signaling within the goblet cell subset alone would aid in clarifying the role of GC MyD88-dependent innate signaling in conferring host susceptibility to infection.
It is also notable that IEC intrinsic MyD88 signaling appears to play a significant role in host defense only at early stages of infection. When we previously assessed the role of MyD88 signaling in IECs during C. rodentium infection at a later time point (D6 pi), we were unable to identify a significant defect in the protective host responses elicited during colitis (15). This was attributed to the previously described innate hyporesponsive status of IECs that is maintained by negative regulators, including Single Ig IL-1-related receptor (SIGIRR), a negative regulator of TLR and IL-1R signaling (14, 15). However, we report here that during the initial stages of enteric infection in vivo, MyD88 signaling within IECs plays a critical role in maintaining barrier integrity and limiting tissue damage through induction of several goblet cell-specific protective factors. We hypothesize that this early role for MyD88 signaling in IECs is lost at later time points due to increasing involvement of MyD88 signaling in infiltrating inflammatory cells, such as macrophages, which likely also regulate IEC proliferation and function.
Although we found no differences between WT and IEC-Myd88−/− mice under uninfected conditions, a recent study published by Frantz et al. reported baseline differences in the expression of RegIII-γ and Muc2 (16). Our inability to detect these differences may simply reflect differences in the commensal microbiota present in the different facilities. Correspondingly, Frantz et al. noted baseline differences in the commensal composition of IEC-Myd88−/− mice compared to WT mice after extensive and detailed analysis. They also observed a baseline increase in the translocation of commensal bacteria as well as compromised epithelial barrier integrity in the IEC-Myd88−/− mice. In contrast, we noted only modest differences in commensal composition between strains; using the FITC-dextran permeability assay, we found similar barrier integrity in our IEC-Myd88−/− mice and WT mice. The lack of baseline differences noted in our facility may reflect our practice of cohousing IEC-Myd88−/− mice and WT (MyD88flox/flox) mice upon bringing them into our facility (>10 generations cohoused), likely minimizing strain-specific differences in commensals.
In conclusion, our findings illuminate a novel role for IEC-specific MyD88 signaling in promoting host defense and tissue tolerance during early enteric infection, one that may have been overlooked previously due to the concept that IECs are innately hyporesponsive, particularly in vivo. We also demonstrate that MyD88 signaling may be more important in a certain subset of IECs, GCs, to limit significant early tissue damage, and we clarify which MyD88-dependent protective responses require IEC intrinsic signaling. Notably, although conflicting results on the innate responsive status of IECs in vitro have been reported (29–31), we show here for the first time that MyD88-dependent innate signaling within IECs actually can determine host susceptibility to an enteric bacterial infection.
ACKNOWLEDGMENTS
This work was supported by operating grants to B.A.V. from the Canadian Institutes of Health Research (CIHR) and the Crohn's and Colitis Foundation of Canada (CCFC). G.B. was supported by a CIHR MSc award, while both S.M.C. and G.B. were funded by University of British Columbia 4-year fellowships. M.S. was funded by a CIHR/CCFC/Canadian Association of Gastroenterology fellowship, while both V.M. and M.S. were funded by fellowships from the Michael Smith Foundation for Health Research. B.A.V. is the Children with Intestinal and Liver Disorders (CHILD) Foundation Chair in Pediatric Gastroenterology and the Canada Research Chair in Pediatric Gastroenterology.
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Footnotes
Published ahead of print 23 June 2014
REFERENCES
- 1.Mandeville KL, Krabshuis J, Ladep NG, Mulder CJ, Quigley EM, Khan SA. 2009. Gastroenterology in developing countries: issues and advances. World J. Gastroenterol. 15:2839–2854. 10.3748/wjg.15.2839 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ohl ME, Miller SI. 2001. Salmonella: a model for bacterial pathogenesis. Annu. Rev. Med. 52:259–274. 10.1146/annurev.med.52.1.259 [DOI] [PubMed] [Google Scholar]
- 3.Akira S, Takeda K. 2004. Toll-like receptor signalling. Nat. Rev. Immunol. 4:499–511. 10.1038/nri1391 [DOI] [PubMed] [Google Scholar]
- 4.Rakoff-Nahoum S, Paglino J, Eslami-Varzaneh F, Edberg S, Medzhitov R. 2004. Recognition of commensal microflora by Toll-like receptors is required for intestinal homeostasis. Cell 118:229–241. 10.1016/j.cell.2004.07.002 [DOI] [PubMed] [Google Scholar]
- 5.Gibson DL, Ma C, Bergstrom KSB, Huang JT, Man C, Vallance BA. 2008. MyD88 signalling plays a critical role in host defence by controlling pathogen burden and promoting epithelial cell homeostasis during Citrobacter rodentium-induced colitis. Cell. Microbiol. 10:618–631. 10.1111/j.1462-5822.2007.01071.x [DOI] [PubMed] [Google Scholar]
- 6.Lebeis SL, Bommarius B, Parkos CA, Sherman MA, Kalman D. 2007. TLR signaling mediated by MyD88 is required for a protective innate immune response by neutrophils to Citrobacter rodentium. J. Immunol. 179:566–577. 10.4049/jimmunol.179.1.566 [DOI] [PubMed] [Google Scholar]
- 7.Araki A, Kanai T, Ishikura T, Makita S, Uraushihara K, Iiyama R, Totsuka T, Takeda K, Akira S, Watanabe M. 2005. MyD88-deficient mice develop severe intestinal inflammation in dextran sodium sulfate colitis. J. Gastroenterol. 40:16–23. 10.1007/s00535-004-1492-9 [DOI] [PubMed] [Google Scholar]
- 8.Malvin NP, Seno H, Stappenbeck TS. 2012. Colonic epithelial response to injury requires Myd88 signaling in myeloid cells. Mucosal Immunol. 5:194–206. 10.1038/mi.2011.65 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kirkland D, Benson A, Mirpuri J, Pifer R, Hou B, DeFranco AL, Yarovinsky F. 2012. B cell-intrinsic MyD88 signaling prevents the lethal dissemination of commensal bacteria during colonic damage. Immunity 36:228–238. 10.1016/j.immuni.2011.11.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Asquith MJ, Boulard O, Powrie F, Maloy KJ. 2010. Pathogenic and protective roles of MyD88 in leukocytes and epithelial cells in mouse models of inflammatory bowel disease. Gastroenterology 139:519–529. 10.1053/j.gastro.2010.04.045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Brandl K, Sun L, Neppl C, Siggs OM, Le Gall SM, Tomisato W, Li X, Du X, Maennel DN, Blobel CP, Beutler B. 2010. MyD88 signaling in nonhematopoietic cells protects mice against induced colitis by regulating specific EGF receptor ligands. Proc. Natl. Acad. Sci. U. S. A. 107:19967–19972. 10.1073/pnas.1014669107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Mundy R, MacDonald TT, Dougan G, Frankel G, Wiles S. 2005. Citrobacter rodentium of mice and man. Cell Microbiol. 7:1697–1706. 10.1111/j.1462-5822.2005.00625.x [DOI] [PubMed] [Google Scholar]
- 13.Goto Y, Kiyono H. 2012. Epithelial barrier: an interface for the cross-communication between gut flora and immune system. Immunol. Rev. 245:147–163. 10.1111/j.1600-065X.2011.01078.x [DOI] [PubMed] [Google Scholar]
- 14.Khan MA, Steiner TS, Sham HP, Bergstrom KSB, Huang JT, Assi K, Salh B, Tai IT, Li X, Vallance BA. 2010. The single IgG IL-1-related receptor controls TLR responses in differentiated human intestinal epithelial cells. J. Immunol. 184:2305–2313. 10.4049/jimmunol.0900021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Sham HP, Yu EY, Gulen MF, Bhinder G, Stahl M, Chan JM, Brewster L, Morampudi V, Gibson DL, Hughes MR, McNagny KM, Li X, Vallance BA. 2013. SIGIRR, a negative regulator of TLR/IL-1R signalling promotes microbiota dependent resistance to colonization by enteric bacterial pathogens. PLoS Pathog. 9(8):e1003539. 10.1371/journal.ppat.1003539 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Frantz AL, Rogier EW, Weber CR, Shen L, Cohen DA, Fenton LA, Bruno MEC, Katzel CS. 2012. Targeted deletion of MyD88 in intestinal epithelial cells results in compromised antibacterial immunity associated with downregulation of polymeric immunoglobulin receptor, mucin-2, and antibacterial peptides. Mucosal Immunol. 5:501–512. 10.1038/mi.2012.23 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chatfield SN, Strahan K, Pickard D, Charles IG, Hormaeche CE, Dougan G. 1992. Evaluation of Salmonella typhimurium strains harbouring defined mutations in htrA and aroA in the murine salmonellosis model. Microb. Pathog. 12:145–151. 10.1016/0882-4010(92)90117-7 [DOI] [PubMed] [Google Scholar]
- 18.Wlodarska M, Willing B, Keeney KM, Menendez A, Bergstrom KS, Gill N, Russell SL, Vallance BA, Finlay BB. 2011. Antibiotic treatment alters the colonic mucus layer and predisposes the host to exacerbated Citrobacter rodentium-induced colitis. Infect. Immun. 79:1536–1545. 10.1128/IAI.01104-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Layton A, McKay L, Williams D, Garrett V, Gentry R, Sayler G. 2006. Development of bacteroides 16S rRNA gene TaqMan-based real-time PCR assays for estimation of total, human, and bovine fecal pollution in water. Appl. Environ. Microbiol. 72:4214–4224. 10.1128/AEM.01036-05 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Guo X, Xia X, Tang R, Zhou J, Zhao H, Wang K. 2008. Development of a real-time PCR method for Firmicutes and Bacteroidetes in faeces and its application to quantify intestinal population of obese and lean pigs. Lett. Appl. Microbiol. 47:367–373. 10.1111/j.1472-765X.2008.02408.x [DOI] [PubMed] [Google Scholar]
- 21.Bacchetti De Gregoris T, Aldred N, Clare AS, Burgess JG. 2011. Improvement of phylum- and class-specific primers for real-time PCR quantification of bacterial taxa. J. Microbiol. Methods 86:351–356. 10.1016/j.mimet.2011.06.010 [DOI] [PubMed] [Google Scholar]
- 22.Fierer N, Jackson JA, Vilgalys R, Jackson RB. 2005. Assessment of soil microbial community structure by use of taxon-specific quantitative PCR assays. Appl. Environ. Microbiol. 71:4117–4120. 10.1128/AEM.71.7.4117-4120.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hirota SA, Ng J, Lueng A, Khajah M, Parhar K, Li Y, Lam V, Potentier MS, Ng K, Bawa M, McCafferty DM, Rioux KP, Ghosh S, Xavier RJ, Colgan SP, Tschopp J, Muruve D, MacDonald JA, Beck PL. 2011. NLRP3 inflammasome plays a key role in the regulation of intestinal homeostasis. Inflamm. Bowel Dis. 17:1359–1372. 10.1002/ibd.21478 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Valdez Y, Grassl GA, Guttman JA, Coburn B, Gros P, Vallance BA, Finlay BB. 2009. Nramp1 drives an accelerated inflammatory response during Salmonella-induced colitis in mice. Cell Microbiol. 11:351–362. 10.1111/j.1462-5822.2008.01258.x [DOI] [PubMed] [Google Scholar]
- 25.Barthel M, Hapfelmeier S, Quintanilla-Martinez L, Kremer M, Rohde M, Hogardt M, Pfeffer K, Rüssman H, Hardt WD. 2003. Pretreatment of mice with streptomycin provides a Salmonella enterica serovar Typhimurium colitis model that allows analysis of both pathogen and host. Infect. Immun. 71:2839–2858. 10.1128/IAI.71.5.2839-2858.2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Vaishnava S, Yamamoto M, Severson KM, Ruhn KA, Yu X, Koren O, Ley R, Wakeland EK, Hooper LV. 2011. The antibacterial lectin RegIII-γ promotes the spatial segregation of microbiota and host in the intestine. Science 334:255–258. 10.1126/science.1209791 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Hogan SP, Seidu L, Blanchard C, Groschwitz K, Mishra A, Karow ML, Ahrens R, Artis D, Murphy AJ, Valenzuela DM, Yanopoulos G, Rothenberg ME. 2006. Resistin-like molecule beta regulates innate colonic function: barrier integrity and inflammation susceptibility. J. Allergy Clin. Immunol. 118:257–268. 10.1016/j.jaci.2006.04.039 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Zarepour M, Bhullar K, Montero M, Ma C, Huang T, Velcich A, Xia L, Vallance BA. 2013. The mucin Muc2 limits pathogen burdens and epithelial barrier dysfunction during Salmonella enterica serovar Typhimurium colitis. Infect. Immun. 81:3672–3683. 10.1128/IAI.00854-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Melmed G, Thomas LS, Lee N, Tesfay SY, Lukasek K, Michelsen KS, Zhou Y, Hu B, Arditi M, Abreu MT. 2003. Human intestinal epithelial cells are broadly unresponsive to Toll-like receptor 2-dependent bacterial ligands: implications for host-microbial interactions in the gut. J. Immunol. 170:1406–1415. 10.4049/jimmunol.170.3.1406 [DOI] [PubMed] [Google Scholar]
- 30.Otte JM, Cario E, Podolsky DK. 2004. Mechanisms of cross hyporesponsiveness to Toll-like receptor bacterial ligands in intestinal epithelial cells. Gastroenterology 126:1054–1070. 10.1053/j.gastro.2004.01.007 [DOI] [PubMed] [Google Scholar]
- 31.Cario E, Rosenberg IM, Brandwein SL, Beck PL, Reinecker HC, Podolsky DK. 2000. Lipopolysaccharide activates distinct signaling pathways in intestinal epithelial cell lines expressing Toll-like receptors. J. Immunol. 164:966–972. 10.4049/jimmunol.164.2.966 [DOI] [PubMed] [Google Scholar]