Jeongyun
Kim
a,
Manjunath
Hegde
a and
Arul
Jayaraman
*ab
aArtie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843-3122, USA. E-mail: arulj@tamu.edu; Fax: (+1) 979 845 6446; Tel: (+1) 979 845 3306
bDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA
First published on 16th October 2009
The human gastrointestinal (GI) tract is a unique environment in which intestinal epithelial cells and non-pathogenic (commensal) bacteria co-exist. This equilibrium is perturbed by the entry of pathogens into the GI tract. A key step in the infection process is the navigation of the pathogen through the commensal bacterial layer to attach to epithelial cells. It has been proposed that the microenvironment that the pathogen encounters in the commensal layer plays a significant role in determining the extent of attachment and colonization. Current culture methods for investigating pathogen colonization are not well suited for investigating this hypothesis as they do not enable co-culture of bacteria and epithelial cells in a manner that mimics the GI tract microenvironment. Here we report the development of a microfluidic co-culture model that enables independent culture of eukaryotic cells and bacteria, and testing the effect of the commensal microenvironment on pathogen colonization. A pneumatically-actuated system was developed to form reversible islands that allow development of bacterial biofilm along with culture of an epithelial cell monolayer. The co-culture model used to develop a commensal Escherichia coli biofilm among HeLa cells, followed by introduction of enterohemorrhagic E. coli (EHEC) into the commensal island, in a sequence that mimics the sequence of events in GI tract infection. Using wild-type E. coli and a tnaA mutant (lacks the signal indole) as the commensal bacteria, we demonstrate that the commensal biofilm microenvironment is a key determinant of EHEC infectivity and virulence. Our model has the potential to be used in fundamental studies investigating the effect of GI tract signals on EHEC virulence as well as for screening of different probiotic strains for modulating pathogen infectivity in the GI tract.
It is becoming increasingly evident that pathogenic bacterial infections are strongly influenced by the GI tract microenvironment, especially the signaling molecules present in the GI tract.8–10 The commensal bacteria produce a wide range of bacterial signals such as the quorum sensing molecules autoinducer-2 and autoinducer-3, as well as other signals such as indole.11–13 The concentration of these signals in the GI tract is extremely high; for example, indole, which is a stationary-phase signal produced by commensal E. coli that constitute ∼1% of the GI tract microflora,14 has been detected at ∼1 mM in human feces.15 Similarly, the autoinducer-2 quorum sensing molecule is produced by more than 50 different GI tract commensal species,5 and is likely to be present in the commensal biofilm during pathogen colonization. The high local concentration and the close proximity of the colonizing pathogen to these signals has led to a signal-centric paradigm wherein GI tract signals are considered to be the ‘language’ through which commensals prevent pathogen colonization. Prior work from our lab has shown that commensal bacteria-produced soluble signals impact EHEC chemotaxis, biofilm formation, and attachment to epithelial cells. However, not all GI tract signals exert the same effect on pathogens; for example, we have shown that EHEC colonization is increased 2.5-fold in the presence of AI-29 but decreased 3-fold with indole.8
Microfluidic methods have enormous potential for investigating the effect of molecular signals on host–pathogen interactions as they enable localization of different cell types and investigation of signaling molecule concentration gradients on phenotypes relevant in infection.16 While several groups have pioneered the co-culture of different eukaryotic cells (e.g., hepatocytes and fibroblasts),17,18 the co-culture of eukaryotic cells and bacteria has not been described to-date. This has been attributed primarily to the difficulties involved in simultaneously maintaining both cultures because of their widely varying growth rates and the ability of bacteria to take-over eukaryotic cultures rapidly.
The goal of this work was to develop a microfluidic co-culture model of commensal bacteria and epithelial cells that can be used as a screening tool for identifying beneficial GI tract signals and screening the effectiveness of putative probiotic bacterial strains. Pneumatic trapping was used to localize bacteria and epithelial cells, and cultivate them to confluence or as a bacterial biofilm. Infection of intestinal epithelial cells with EHEC using the co-culture model, as well as the importance of EHEC interactions with commensal bacteria, was demonstrated. To our knowledge, this is the first report describing co-culture of bacteria and epithelial cells and its application to investigate pathogen colonization and infection.
The PDMS device was fabricated from a molded PDMS bas-relief plate, two PDMS membranes, and a glass slide following the protocol schematically shown in ESI Fig. S2†. First, a PDMS bas-relief plate was fabricated by replica molding against the mask. Two thin PDMS membranes were fabricated by casting and curing the PDMS prepolymer between a master mold and a Teflon sheet (1 mm thick Teflon FEP, DuPont, DE).23 The PDMS membrane for the pneumatic layer was 200 µm thick (valve diaphragm thickness of 50 µm and channel height of 100 µm). The PDMS membrane for the channel layer was 150 µm thick (50 µm diaphragm and 100 µm channel height, respectively). Membranes were fabricated with PDMS posts that were removed using micro-tweezers to generate through-holes for connecting to inlet/outlet of the bacterial island. Before replicating, the mold was treated with tridecafluoro-1,2,2,2-tetrahydrooctyl-1-trichlorosilane to peel off the PDMS membrane from the SU-8 pattern without creating any defects.
The different components were assembled by sequential oxygen plasma treatment and bonding (150 mTorr, 100 W, 40 s) in a plasma etcher. The pneumatic layer membrane was first aligned and bonded to the PDMS bas-relief followed by bonding of the membrane for the channel layer. Tubing was connected to the pneumatic layer and vacuum was applied when the PDMS multilayer structure was bonded to glass to prevent binding between the PDMS island wall and the glass (which enables moving the PDMS wall to form islands). Access ports were punched into the PDMS after bonding. In order to facilitate stable operation of the valve for long time, a gas to liquid pressure converter was used in which regulated compressed air was converted to constant liquid pressure. During operation, the pneumatic channels were filled with dye solution to prevent formation of air bubbles in the channel.
The overall culture scheme (Fig. 1) consisted of three steps: (i) initially introducing and culturing epithelial cells and commensal bacteria in to distinct regions of the microfluidic device without contact until the epithelial cells reach confluency and a commensal biofilm is developed, (ii) introducing a pathogen (EHEC) into the commensal region and allowing it to navigate through the commensal biofilm, thereby being exposed to signal(s) present in the commensal biofilm, and (iii) exposing epithelial cells to the pathogen for colonization. This model mimics the organization of the GI tract by ‘patterning’ islands of commensal bacteria among epithelial cells. Furthermore, by exposing pathogenic bacteria to signals present in the commensal bacterial biofilm prior to infection of epithelial cells, the developed microfluidic model also reproduced the sequence of events leading to pathogen colonization in the GI tract.
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Fig. 1 Cell seeding scheme in the co-culture model. (1) The PDMS wall is lowered to form an island, commensal bacteria are introduced into the island, and fibronectin is flowed around the island. (2) HeLa cells are seeded in the regions surrounding the island. (3) After HeLa cells reach confluence and the commensal biofilm has developed, EHEC is introduced into the island. (4) The PDMS wall is lifted up to expose HeLa cells surrounding the island to EHEC. Inset shows details of valve operation. |
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Fig. 2 Microfluidic model for co-culture of epithelial cells and bacteria. (A) Three-dimensional rendition of the co-culture device showing pneumatically-actuated trapping regions for forming bacterial islands among epithelial cells. Each bacterial island (1200 µm diameter and 1000 µm apart) has a separate inlet and outlet for providing growth media and removing waste from the island. (B) Micrograph of the co-culture device with color dyes showing the different regions (epithelial cell zone, bacterial islands). (C) The fidelity of the pneumatic trapping system is shown by lowering the PDMS wall (left panel) using a pneumatically-activated channel (blue), introducing purple dye into the closed island islands, and flowing yellow dye around it for 48 h. When the PDMS wall is raised (right panel), the island region is exposed to the surrounding yellow dye. Scale bar represents 500 µm. |
Two types of pneumatically-actuated PDMS valves have been previously reported – valves comprising of only PDMS layers30,31 and hybrid valves assembled with glass and PDMS layers.32,33 While both types of valves have been extensively used, the latter valve can be more efficiently operated with lower pressures due to the preferential adhesion between PDMS and glass. However, fabrication of these valves is time and labor-intensive, and requires etching of glass which can create an unfavorable environment for cell culture. The valve system developed in this study takes advantage of the adhesiveness of PDMS to glass, while still being able to support eukaryotic cell culture. The valve was also designed such that the center of the valve is fixed and the entire valve layer does not move (see close-up of valve operation in Fig. 1). Keeping the center fixed and moving the valve walls alone enables generation of larger islands and reduces the volume of liquid that is replaced when the valve is opened or closed (∼50 nL with movement of the valve wall compared to ∼130 nL with movement of the entire valve layer). This feature is especially important as the bacterial signaling molecules present in the island microenvironment can be potentially lost with large volume changes.
Since the trapped bacteria and surrounding epithelial cells need to be cultured separately without any bacteria escaping the island and contaminating the epithelial cell regions, it was important to ensure the fidelity of the cell trapping scheme and demonstrate the ability to sequester different cell types in specific locations for long periods of time. This capability is demonstrated in Fig. 2C using color dyes. Positive pressure was applied through the pneumatic channel to lower the PDMS wall and form the bacterial islands. Purple dye was injected into the islands while yellow dye was injected into the surrounding areas. The microdevice was imaged after 48 h. The data show that the purple dye in the island is distinct from the surrounding yellow dye after 48 h. When the PDMS wall is raised, the yellow dye rapidly fills the island; thereby, demonstrating the effectiveness of the pneumatic trapping system in sequestering contents of the island from the surroundings.
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Fig. 3 Co-culture of HeLa cells and bacteria. (A) Transmitted light image of HeLa cell monolayer. (B) Fluorescence image of GFP-expressing E. coli BW25113 localized in the bacterial islands. (C) Overlay of transmitted and green fluorescence images showing co-culture of HeLa cells and E. coli BW25113 for 48 h. (D) Close-up view of HeLa cells and E. coli BW25113 in bacterial-island after 48 h. (E) Fluorescence image of RFP-expressing EHEC and GFP-expressing E. coli BW25113 in island. (F) Overlay of transmitted, green, and red fluorescence images in the device. Scale bar represents 500 µm in panels (A)–(C) and 200 µm in panels (D)–(F). |
The commensal bacteria in the island region were not loosely attached but formed a biofilm. Confocal microscopy and three-dimensional reconstruction of the biofilm using IMARIS (Fig. 4) show that the commensal E. coli (green) uniformly colonized the island and grew to a thickness of ∼30 µm after 48 h, which is consistent with prior reports on E. coli BW25113 biofilm formation in flow cells.34 The organization of the biofilm indicated minimal void space (or polysaccharides that can occupy the acellular region) as the bacteria were densely packed and present at all depths and locations of the biofilm.
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Fig. 4 Localization of EHEC in E. coli BW25113 biofilms. IMARIS visualization of EHEC (red) in E. coli BW25113 biofilms (green) developed on glass inside the bacterial island. The average E. coli BW25113 biofilm thickness was 30 µm. Red and green renditions were overlayed to obtain the distribution of EHEC in the commensal biofilm. |
Conventional assays for pathogen attachment and colonization utilize a monolayer of eukaryotic cells in tissue culture plates into which pathogens are added. These models are not physiologically-relevant as they do not incorporate a commensal bacterial biofilm developed on eukaryotic cells. Simple addition of a pre-grown bacterial culture to eukaryotic cells is unlikely to lead to this conformation as biofilms are highly organized structures that develop over time, and it is extremely difficult, if not virtually impossible, to culture eukaryotic cells in the presence of bacteria for extended periods of time without significant loss in viability. Since pathogens do not navigate through a commensal biofilm in these models to attach to epithelial cells, these models do not accurately mimic the organization of epithelial cells and commensal bacteria in the GI tract. Moreover, in order to investigate the effect of different signals on pathogen colonization, molecules are added exogenously to the eukaryotic cells such that their concentration is uniform throughout the culture. This is also different from what pathogens encounter in a biofilm, as the heterogeneity and spatial organization of bacteria in biofilms3 result in highly localized zones of signals with varying concentrations (i.e., a gradient). The microfluidic co-culture model developed here addresses these two issues by enabling localization of commensal bacteria and epithelial cells, as well as pre-exposing pathogens to commensal bacteria prior to encountering epithelial cells; thereby, presenting a more physiologically-relevant environment during colonization.
The distribution of EHEC within the commensal biofilm is an important determinant of its attachment and infectivity as it needs to navigate through the commensal film to initiate attachment to epithelial cells. For attachment to proceed effectively, EHEC needs to be present near the bottom of the commensal biofilm. Fig. 4 shows that EHEC (red) is incorporated in all depths of the biofilm, including the bottom. The uniform distribution of EHEC throughout the commensal biofilm also suggests it is likely to have been exposed to the signals present in the commensal bacterial biofilm microenvironment.
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Fig. 5 EHEC infection in co-culture device. Live/Dead staining of EHEC infection in bacterial islands containing (A) wild-type E. coli BW25113, (B) E. coli BW25113 ΔtnaA, and (C) E. coli BW25113 ΔtnaA with indole pre-treatment. Infection was performed at a multiplicity of infection of 200 : 1 (EHEC : HeLa cells). Images shown are from one representative location from five locations and two independent experiments. Scale bar represents 50 µm. (D) Quantification of the percentage of dead cells per live cell. Data shown are averaged from five images in two independent experiments (total of 10 locations). |
The effect of the commensal biofilm microenvironment (i.e., extracellular signals present in the biofilm) on EHEC attachment and infection was also investigated using the co-culture model. A commensal biofilm lacking the bacterial signal indole was developed by forming a commensal E. coli BW25113 ΔtnaA (isogenic mutant strain lacking the tnaA gene) biofilm, and EHEC was introduced into the biofilm. While prior work from our lab has shown that externally-added indole at a concentration of 500 µM inhibits EHEC attachment to HeLa cells,8 the effect of in situ produced indole (i.e., by E. coli in a biofilm) on EHEC colonization has not been studied. Our data (Fig. 5B and D) show that EHEC exposed to a commensal biofilm that lacks indole demonstrates a 2-fold increase in infectivity (as determined by the ratio of dead to live HeLa cells) compared to the wild-type strain, and is comparable to our previous data in standard tissue culture formats.8 In order to establish whether local indole exposure is required for attenuating EHEC infectivity, we pre-treated EHEC with 500 µM indole for 6 h prior to its introduction into an E. coli ΔtnaA biofilm, followed by infection of HeLa cells. Our data (Fig. 5C and D) show that indole pre-treatment decreases the extent of HeLa cell death but not to the levels observed with the wild-type strain. This suggests that local exposure to signals is more effective than pre-treatment, presumably because local concentrations of indole (not measured in this study) could be higher than the uniform concentration in the liquid phase. However, this observation does not preclude role(s) for other bacterial signals could in attenuating EHEC infection. Current work in our laboratory focuses on investigating the effect of different commensal signals on EHEC colonization of epithelial cells.
These results are especially significant as they suggest a spatial bias to colonization and the initiation of infection. Since the commensal microflora in the GI tract is heterogeneous and not uniform throughout,3 it is reasonable to expect that the distribution of signals is also heterogeneous. That is, bacteria that produce certain signals may be located only in certain niches and the ability of EHEC to colonize those niches should be different from other locations where no favorable or antagonistic signals are present. Since E. coli makes up ∼1% of the GI tract microflora,14 it is tempting to speculate that EHEC infections are minimal at locations where commensal E. coli is present. Current work in our laboratory focuses on testing this hypothesis.
It should be noted while we utilized a ∼30 µm commensal biofilm in our studies, the thickness of the commensal layer in vivo (and hence, the time taken to navigate the commensal layer) is not known. However, based on the large number of commensal bacteria (∼1014) present in the GI tract, the commensal layer is expected to be at least of comparable thickness, and a colonizing pathogen would be expected to be exposed to signals for a comparable duration. While we did not vary the thickness of the commensal layer in our experiments, further studies are required to fully investigate the relationship between the commensal biofilm thickness (i.e., time of exposure to commensal signals) and the extent of pathogen colonization. A second area of improvement of the model system presented here is on using polarized intestinal epithelial cells on-chip. While the co-culture model described here is based on non-polarized cells, epithelial cells in the GI tract are polarized and only the apical side of the cells is exposed to the commensal biofilm and pathogen. Hence, using polarized epithelial cells would more accurately mimic the GI tract organization.
The microfluidic co-culture model of bacteria and epithelial cells described here can be used for mechanistic studies on the role of different signals in infections to screening as well as for identifying probiotic molecules for combating bacterial infections. Our observation that local exposure may be more effective than pre-treatment is especially significant, as it strongly suggests the potential utility of the co-culture model for the identification and screening putative probiotic strains. Since the GI tract microflora is extremely diverse with more than 500 species, the ability to rapidly screen commensal bacteria for countering pathogen colonization in a physiologically-relevant model could lead to the identification of potential probiotic strains. In this regard, the co-culture model is advantageous as the isolated island facilitates the use of culture conditions (e.g., growth media, microaerophilic environment) optimal for each strain being tested.
Footnote |
† Electronic supplementary information (ESI) available: Supplementary figures S1 and S2. See DOI: 10.1039/b911367c |
This journal is © The Royal Society of Chemistry 2010 |