Abstract
Inflammatory bowel disease (IBD), celiac disease, and other inflammatory conditions of the gastrointestinal tract are highly prevalent in society. Due to the complexity of factors involved, detailed pathogenesis is difficult to determine and thus remains elusive in many cases. The advent of gut-on-chip devices has permitted more accurate modeling of the gut microenvironment with the inclusion of fluid flow and mechanical cues that are true to intestinal architecture and physiology. This review outlines the evolution of gut-on-chip platforms towards greater physiological relevance and elucidates how these devices have been used to model and study intestinal inflammation in humans. In addition, we identify key elements from both technological and disease standpoints that are integral for accurate gut-on-chip models of IBD and celiac disease.
1 Introduction
The small and large intestines, which make up a considerable part of the gastrointestinal tract, each have distinct mucosal structures and microenvironments. Both anatomical parts contribute diversely to physiological functions such as digestion, nutrient absorption, microbial interactions, and immune responses. Throughout life, the cellular and molecular composition of the epithelium that lines the mucosa changes in response to evolving functional requirements and environmental exposures (Rodríguez et al., 2015; ). Some of these environmental factors, along with diet and microbiota, are thought to contribute to the development of inflammatory bowel disease (IBD), celiac disease and other inflammatory conditions in genetically predisposed individuals (Liu et al., 2015; ; ; ). Accurately modeling the in vivo gut environment, as well as aberrations resulting in inflammation, is therefore crucial for further understanding the pathogenesis of chronic gastrointestinal conditions and for investigating effective treatments.
Conventional methods for recreating the intestinal environment for research purposes comprise immortalized cell lines or primary cell culture in traditional culture wells and Transwell inserts, as well as everted gut sacs (; Yamaura et al., 2016; ). While these models have been vital for studying, for example, barrier function and drug metabolism, they do not completely recapitulate the three-dimensional architecture and dynamic microenvironment of the small and large intestines. Although significant developments have been made to incorporate stem cells and organoids, many functional properties and supporting cell populations are still unaccounted for in static cultures (Spence et al., 2011; ). In terms of inflammatory conditions, conventional methods are largely unable to depict features that are essential for modeling their multifactorial nature, such as the mechanical forces acting on cells and immune and microbe components. These limitations have led to the development of gut-on-chip devices.
In general, organ-on-chip models are microfluidic devices predominantly made of clear, flexible polymers into which several hollow channels or chambers are molded. Specific organs can be mimicked by culturing relevant cell types in the device, which is designed to allow control over parameters such as concentration gradients, mechanical forces, cell interactions, and tissue morphology (Wu et al., 2020). Both single-organ and multi-organ systems have been successfully established, where the latter are typically simpler biologically and prioritize the systemic interactivity between organs. Single-organ organ-on-chips have a greater focus on the detailed function of an organ. For example, by combining biomaterials, microfluidics, and cell culture, gut-on-chip devices enable the recreation of an epithelial barrier of polarized cells with high integrity and functionality. Moreover, incorporation of fluid flow and mechanical deformation supports cell differentiation and facilitates coculture, such as with microbial symbionts, without the overgrowth that is common in static models (). The constantly evolving organ-on-chip technology therefore provides an opportunity for studying the multiple aspects at play in the development and progression of intestinal inflammatory conditions.
2 Human gut microenvironment in normal and inflammatory states
The gut lumen is a hollow, tubular passage lined with a protective barrier composed of a diverse range of intestinal epithelial cells (IECs). In the small intestine, the monolayer of IECs forms a crypt-villus axis that affects fluid flow and significantly increases the surface area for the absorption of nutrients (). Imaging of the different regions of the small intestine has revealed that villi are taller and more prevalent proximally in the duodenum and jejunum than distally in the ileum (). Absorptive enterocytes, which largely enable digestive and metabolic functions, make up the majority of the cell population, while several types of secretory cells perform more specialized roles within the epithelium. For instance, goblet cells secrete mucins to produce a physical mucous barrier that prevents large particles from directly contacting the epithelium and enteroendocrine cells produce and release hormones in response to different stimuli (; ). Other secretory cells include immune response-mediating tuft cells and Paneth cells, which secrete antimicrobial molecules into the lumen for regulating the gut microbiota (). In addition, Paneth cells are located adjacent to intestinal stem cells (ISCs) in the intestinal crypts, where they support the rapid renewal of the epithelium (). Self-renewal and regeneration in response to injury are driven by the production of daughter progenitors by ISCs in the crypts (). Subsequently, these progenitor cells migrate towards the luminal surface and undergo multilineage differentiation to generate the different types of IECs.
Longitudinally, the large intestine can also be divided into parts encompassing the cecum, colon, rectum, and anus. In contrast to the small intestine, IECs in the large intestine are arranged into inner crypts which open into a flat luminal surface. Although the cellular compositions are largely similar, cell analyses have revealed that the large intestine houses a greater number of goblet cells and less Paneth cells (Specian and Oliver, 1991; Tanaka et al., 2001). These differences support a shift in function towards the absorption of water, electrolytes, and vitamins, as well as the formation of feces from indigestible and unabsorbed residues. Despite the distinctions between the small and large intestines, IECs collectively establish and maintain both a physical and biochemical barrier, offering protection from harmful pathogens and various other inflammatory stimuli. When the epithelium is intact, mucosal permeability is determined by the dynamic proteins that compose tight junctions, which regulate the paracellular transport of water, ions, and other molecules (Rescigno, 2011; Suzuki, 2012).
IECs also provide an interface for epithelial-microbe-immune interactions to further support a finely tuned system that maintains a delicate balance between the host and its microbial inhabitants. Thus, another important regulator of the gut microenvironment is the microbiota, which mostly comprises non-pathogenic bacteria aiding in metabolism, barrier function, and immune response stimulation (). Similar to cell composition, microbiota have also been found to have spatial variability throughout the intestines due to differences in flow rate and pH in the lumen (McHardy et al., 2013). Additionally, the distribution of microorganisms is largely dependent on diet, age, and the presence of an oxygen gradient in the mucosa (Rinninella et al., 2019). Luminal microbiota and mucosa-associated microbiota located in the mucus layer can affect the integrity of the gut barrier through activation of signaling pathways in IECs. Conversely, the composition of the microbiota can be modulated by signaling molecules and alternative energy sources provided by IECs. Similar communication occurs between IECs and immune cells located in the lamina propria underlying the IEC layer, which also contains blood vessels, lymphatic vessels, and nerves that further regulate intestinal motility and nutrient transport. IECs mediate the crosstalk between microbiota and immunologically active cells (T cells, B cells, dendritic cells, macrophages) as well as other luminal contents, often resulting in the adjustment of cytokine secretion to maintain intestinal homeostasis.
Furthermore, luminal flow, and peristalsis, which make up the intestinal mechanical microenvironment, are responsible for gut motility and in part inhibit microbial overgrowth. Peristalsis is the result of layers of smooth muscle contracting to propel food through the intestines and as the luminal contents move, shear forces result from the friction against the intestinal wall. These mechanical forces also act on IECs, contributing to normal epithelial differentiation, mucus production, and the establishment of stable symbiosis between the epithelium and resident gut microbiome (; ). In summary, establishing an in vitro intestinal model that more closely resembles the native tissue requires incorporation of the diverse range of IECs and supporting cells, correct epithelial barrier morphology, mechanical forces, and the gut microbiota (Figure 1).
FIGURE 1
Intestinal diseases like IBD (Crohn’s disease, ulcerative colitis) and celiac disease are characterized by chronic inflammation that affects various regions of the small and large bowels. Although there is some variation between patients, ulcerative colitis typically manifests within the colon, celiac disease in the small intestine, and Crohn’s disease throughout the gastrointestinal tract. Many factors are thought to cause changes in the gut microenvironment and in turn contribute to the development and perpetuation of a dysregulated inflammatory response in these conditions. The proposed mechanisms of IBD suggest an interplay between genetic susceptibility, immune abnormalities, microbiota, and environmental factors (Strober et al., 2007; ). The sequence of pathogenetic events is unknown, but include microbial dysbiosis, compromised intestinal epithelium integrity, aberrant immune reactivity against antigens, and increased production of proinflammatory cytokines (Zeissig et al., 2007; ; ; Parker et al., 2019). Eventually, a sustained inflammatory state can result in structural damage of the mucosa and increased IEC death coupled with decreased cell turnover (Parker et al., 2019). In celiac disease, small-bowel mucosal inflammation, crypt hyperplasia, and villous atrophy are a result of inappropriate immune responses to certain gluten-derived peptides from wheat, rye, and barley. Repetitive glutamine- and proline-rich regions in gluten resist proteolytic degradation and initiate both adaptive and innate immune responses, eventually leading to mucosal inflammation and IEC destruction (; Lindfors et al., 2019). Although some of the hallmarks of IBD and celiac disease have been identified, further understanding of the pathogenesis and development of possible novel treatments for these conditions relies on the generation of more accurate in vitro models.
3 Conventional models
To an extent, the compositions of the mouse small and large intestines are comparable to those of humans, with similar cell types and distributions. Thus, chemically induced, genetically engineered, spontaneous and transgenic murine models have been commonly employed to study different aspects involved in intestinal inflammatory diseases (Prattis and Jurjus, 2015; Mizoguchi et al., 2016; Wirtz et al., 2017). Despite the similarities, the translation of results to humans requires the consideration of significant differences in areas such as microbiota, diet, anatomical structure, and size. Particularly, while mouse models can mimic the phenotypes of inflammatory diseases, they are not as suitable for determining underlying mechanisms and etiology of multifactorial diseases in humans ().
The need for more cost-effective, ethically acceptable, and high-throughput research models hasled to the widespread use of cell-based systems. Intestinal barrier permeability and toxicity studies are often performed with colorectal adenocarcinoma-derived Caco-2 cells cultured either on standard well plates or permeable inserts. Caco-2 cells are able to form differentiated and polarized monolayers, exhibiting characteristics similar to intestinal enterocytes (). Though undoubtedly valuable, these static systems fail to model the complexity of the human intestinal tissue because they lack interactions with surrounding cell types and the extracellular matrix (ECM), which are necessary for proper epithelial formation. Compared to the normal human intestine, Caco-2 monolayers can have altered expression of transporters and enzymes affecting overall permeability (Sun et al., 2008). Without incorporation of the mechanical microenvironment, Caco-2 are also unable to adequately portray crypt-villus structures of the small intestine, and coculture with microbiota is difficult due to bacterial overgrowth. The addition of cell culture substrates and additional cell types, such as HT29-MTX cells to increase mucus production, has resulted in the formation of an enhanced epithelial layer. However, the cancerous origin of Caco-2 cells means that possible gene mutations detract from their ability to portray normal epithelium (; ).
For a more advanced model, intestinal organoids can be derived from primary intestinal crypt stem cells, iPSCs or intact intestinal crypts isolated from biopsy samples (; ; Yoshida et al., 2020). Unlike Caco-2 cell cultures, organoids represent the stem cell lineage, which further differentiate to encompass the heterogeneous population of the in vivo tissue. The self-organizing capability of intestinal crypt-like units, in combination with the addition of factors such as epidermal growth factor (EGF), Noggin, and R-Spondin-1, allow the crypts to develop into a closed spherical structure (; Sato and Clevers, 2013). The main drawback of such systems is the inability to access both sides of the epithelium, but they are able to retain correct cellular spatial organization and cellular interactions (). Biopsy-derived organoids have been successfully cultured as two-dimensional monolayers with exposed apical surfaces. However, expansion is difficult and cannot be done through simple resuspension and passaging (; Thorne et al., 2018). To date, organoids have been valuable in studying human cell mechanisms and pathways despite the lack of functional immune cells and vascularization in most current systems. Other intestinal models include the everted gut sac and Ussing chamber, which are used largely for absorption studies (Thomson et al., 2019). Although highly physiologically relevant, both typically utilize ex vivo tissue, leading to limited viability after approximately 2 h and the speed of absorption is often not comparable to that in vivo.
4 Evolution of gut-on-chip models
A majority of gut-on-chip models are composed of polydimethylsiloxane (PDMS) and contain two adjacent hollow channels that are separated by an ECM-coated porous membrane Table 1. Culturing IECs on the upper surface of the porous membrane allows access and manipulation of the conditions in contact with both the apical and basolateral sides of the epithelium. In contrast to conventional static models, the gut-on-chip platform enables continuous exchange of the culture medium, providing adequate oxygenation and nutrients, while also imparting physiological shear stress on cells. For instance, Jalili-Firoozinez et al. fabricated a two-channel PDMS microfluidic device with Caco-2 cells representing the IECs and human intestinal microvascular endothelial cells (HIMECs) representing the vascular endothelium (Figure 2A) (). Under perfusion flow, Caco-2 cells formed an epithelium of polarized cells connected via tight junctions in the top channel and HIMECs formed a confluent monolayer in the bottom channel (). In the presence of an oxygen gradient, the microenvironment of the gut-on-chip was also able to support a higher level of microbial diversity when compared to models without oxygen modulation (). Additionally, IECs isolated from small intestinal biopsy-derived organoids have been cultured in the same two-channel design, resulting in multilineage differentiation, more accurate villus formation, and mucus production ().
TABLE 1
| Model | Device material | Channel specifications | Membrane material | Peristalsis | Fluid flow | Oxygen modulation | Epithelial cell type | Epithelium morphology | Endothelium | Mucus production | Microbes | Immune cells | Application | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Peristaltic | PDMS | 2 microchannels | PDMS | yes | yes | yes | Caco-2, intestinal biopsy-derived organoids | spontaneous villus-like structure | HIMECs | yes | yes | no | Coculture of anaerobic and aerobic commensal | |
| PDMS | 2 microchannels | PDMS | yes | yes | yes | Caco-2 | spontaneous villus-like structure | no | yes | yes | no | Host-microbe coculture | Shin et al. (2019) | |
| PDMS | 2 microchannels | PDMS | yes | yes | no | intestinal biopsy-derived organoids | spontaneous villus-like structure | HIMECs | yes | no | no | Preclinical drug assessment | , | |
| PDMS | 2 microchannels | PDMS | yes | yes | no | iPSC-derived organoids | spontaneous villus-like structure | no | yes | no | no | Modeling intestinal physiology | Workman et al. (2018) | |
| PDMS | 2 convoluted microchannels | PDMS | yes | yes | no | Caco-2, intestinal biopsy-derived organoids | 3D epithelial microarchitectures | no | yes | yes | no | Formation of patient-derived intestinal organoid epithelium | Shin et al. (2020) | |
| PDMS | 3 microchannels | PDMS | yes | yes | no | Caco-2 | spontaneous villus-like structure | HMVECs | yes | yes | PBMCs | Gut inflammation | ||
| PDMS, PMMA | 3 microchannels | PDMS | yes | yes | no | Caco-2 | spontaneous villus-like structure | HUVECs | yes | yes | human macrophage U937 | host-microbial interactions | ||
| PDMS | 2 microchannels | PDMS | yes | yes | no | Caco-2 | spontaneous villus-like structure | no | yes | yes | no | Host-microbe coculture | , Villenave et al. (2017), Shin and Kim (2018) | |
| PDMS | 2 microchannels | PDMS | yes | yes | no | Caco-2 | spontaneous villus-like structure | HUVECs | yes | no | no | Disease modeling, countermeasure drug screening | ||
| PDMS | 2 microchannels | PDMS | yes | yes | no | Caco-2 | spontaneous villus-like structure | no | yes | no | no | Recreation of gut microenvironment | ||
| Scaffold-based | PDMS | 2 microchannels | Polyethylene terephthalate | no | yes | no | Caco-2 | Villus-like on collagen scaffold | no | N/A | no | no | Intestintal absorptive function | Shim et al. (2017) |
| VeroClear RGD810 | 2 chambers | N/A | no | yes | no | Caco-2 | Villus-like on poly-ethylene-co-vinyl-acetate scaffold | no | yes | no | no | Characterization of intestinal physiology | ||
| Polystyrene (OrganoPlate) | 3 microchannels | ECM gel | no | yes | no | intestinal biopsy-derived organoids | Intestinal-like epithelial tubules | no | yes | no | monocyte-derived macrophages | Model inflammatory processes | ||
| Polystyrene (OrganoPlate) | 3 microchannels | ECM gel | no | yes | no | hiPSCs | Intestinal-like epithelial tubules | no | yes | no | no | Differentiation of intestinal tubules | Naumovska et al. (2020) | |
| Polystyrene (OrganoPlate) | 3 microchannels | ECM gel | no | yes | no | Caco-2, HT29 | Intestinal-like epithelial tubules | no | yes | no | THP-1, MUTZ-3 | Study inflammatory processes | , | |
| Polystyrene (OrganoPlate) | 3 microchannels | ECM gel | no | yes | no | Caco-2 | Intestinal-like epithelial tubules | no | N/A | no | no | Modeling inflammatory state and drug discovery, barrier integrity assessment | Trietsch et al. (2017), | |
| Perfusion-only | PDMS | 2 microchannels | PDMS | no | yes | yes | intestinal biopsy-derived organoids | spontaneous villus-like structure | no | N/A | no | no | Establishing oxygen gradients | |
| PDMS | 2 microchannels | PDMS | no | yes | no | intestinal biopsy-derived organoids | spontaneous villus-like structure | no | yes | no | no | Analysis of mucus layer | Sontheimer-Phelps et al. (2020) | |
| Polystyrol | 2 microchannels | Polyethylene terephthalate | no | yes | no | Caco-2 | spontaneous villus-like structure | HUVECs | yes | yes | PBMCs | Microbial interactions | Maurer et al. (2019) | |
| PDMS | 3 microchannels | ECM gel | no | yes | no | Caco-2 | monolayer with villus-like structures | HUVECs | yes | yes | no | Microbial contribution to intestinal inflammation | ||
| Polysulfone | 6 culture modules | Transwell insert | no | yes | yes | intestinalbiopsy-derived organoids | flat monolayer | no | yes | yes | no | Super oxygen-sensitive microbial interactions | Zhang et al. (2021) | |
| Polycarbonate, silicone | 3 microchannels | Polycarbonate | no | yes | yes | Caco-2 | flat monolayer | no | N/A | yes | primary CD4+ T cells | Host-microbe molecular interactions | Shah et al. (2016) | |
| PDMS | 2 microchannels | polyethylene terephthalate | no | yes | no | Caco-2 | flat monolayer | no | N/A | no | no | Intestinal absorptivefunctionality | ||
| PDMS | 2 microchannels | polycarbonate | no | yes | no | Caco-2 | flat monolayer | no | N/A | no | no | Drug permeability | , Pocock et al. (2017) | |
| PDMS, PMMA, polystyrene | 2 microchannels | polyethylene terephthalate | no | yes | no | Caco-2 | flat monolayer | no | no | no | human macrophage U937 | Nutrition metabolism, immunomodulatory function | Ramadan and Jing (2016) | |
| PDMS | 1 microchannel | nitrocellulose | no | yes | no | Caco-2 | flat monolayer | no | yes | no | no | Modeling drug metabolism | ||
| Multi-organ | Polysulfone, acrylic | gut module brain module liver module | polyurethane | no | yes | no | intestinal biopsy-derived organoids | flat monolayer | no | N/A | microbe metabolites | primary CD4+ T cells | Studying neurodegenerative diseases, inflammation model | , Trapecar et al. (2020), Trapecar et al. (2021) |
| PDMS | 2 microchannels | Transwell insert | no | yes | no | Caco-2 | Villus-like on collagen scaffold | no | yes | no | no | in vitro hepatic steatosis model | ||
| PDMS | gut microchannel liver microchannel | polyester | no | yes | no | Caco-2 | flat monolayer | no | no | no | no | First pass metabolism of drugs | ||
| PDMS | gut module BBB module | polyester | no | yes | no | Caco-2 | flat monolayer | no | no | no | no | Transport across epithelial and endothelial barriers |
Features of human gut-on-chip models. PDMS, polydimethylsiloxane; HIMECs, human intestinal microvascular endothelial cells; iPSC, induced pluripotent stem cells; HMVECs, human microvascular endothelial cells; PBMCs, peripheral blood mononuclear cells; PMMA, poly (methyl methacrylate); HUVECs, human umbilical endothelial cells; ECM, extracellular matrix; hiPSC, human induced pluripotent stem cells.
FIGURE 2
The porous membrane between the channels allows for apical-basal access to the epithelia, but the presence of an artificial membrane could have unwanted effects on permeability and cell morphology. As a solution, Beaurivage et al. utilized a gut-on-chip device (OrganoPlate) where the artificial membrane is replaced by an ECM gel that is patterned so that epithelial cells seeded into the perfusion channel formed a tubule structure (Figure 2D) (
Although some evidence exists supporting the spontaneous formation of villus-like structures by Caco-2 cells under perfusion flow and mechanical deformation, using a scaffold-based approach (Figure 2C) increases the reproducibility of the small intestinal crypt-villus axis (Sung et al., 2011;
Normal gut function also involves the involuntary contraction of smooth muscle underlying the mucosa and submucosa. This process, called peristalsis, has been recently incorporated into gut-on-chip models by attaching the central porous membrane to vacuum chambers (Figure 2B). Compared to static Transwell cultures, application of cyclic strain to cause peristaltic motion of the porous membrane enhanced Caco-2 barrier formation and absorptive functions (
5 Gut-on-chip inflammation models
IBD and celiac disease are characterized by chronic inflammation affecting various parts of the GI tract. Existing gut-on-chip models utilize a variety of cell sources and methods of inducing inflammation. In most cases, a healthy model of the gut epithelium is first established, consisting of a polarized monolayer of IECs with tight junction formation. Then, to mimic the loss of barrier integrity, different combinations of inflammatory cytokines or endotoxins are introduced to the microchannels of the device. Several cytokine superfamilies have been identified as playing a key role in IBD pathogenesis, including interleukin (IL), tumor necrosis factor (TNF), and interferon (IFN) families (Neurath, 2014). During IBD-related inflammation, IECs produce and are exposed to these factors which have profound effects on tight junction formation, apoptotic activity, and mucosal healing (
By culturing Caco-2 cells in a microenvironment with perfusion flow and peristalsis-like movement, Kim et al. were able to induce the spontaneous formation of in vivo-like intestinal villi with highly polarized cells connected by tight junctions (
Some gut-on-chip models have also incorporated other intestinal cell types alongside Caco-2 cells to account for in vivo IEC diversity. In the OrganoPlate, Caco-2 enterocytes and HT29-MTX-E12 goblet cells were co-cultured in one channel and THP-1 and MUTZ-3 immune cells in the other, with the channels being separated by an ECM gel (
In an effort to improve the in vivo accuracy of the inflammation model, Beaurivage et al. cultured biopsy-derived human intestinal organoids in the OrganoPlate platform and induced IBD hallmarks using LPS and IFN-γ. As a result, the intestinal epithelium displayed an inflammatory state as well as increased cytokine production, attributed to an overrepresentation of cytokine regulation and bacterial response pathways that are commonly aberrant in IBD patients (
Since the causes and effects of IBD-related inflammation are not solely limited to the intestines, Trapecar et al. developed a gut-liver model for studying the effects of short-chain fatty acids (SCFAs) on intestinal inflammation. Again, patient-specific ulcerative colitis organoids were able to recapitulate the diseased condition and the addition of SCFAs led to enrichment of hepatic metabolic pathways and reduction of inflammatory pathways (Trapecar et al., 2020). Addition of regulatory cells (Treg) and T helper 17 (Th17) immune cells resulted in T cell-mediated inflammation and autoimmune hepatitis (Trapecar et al., 2020). Other multiorgan chips with an intestinal component have explored interactions with additional organs such as the brain and kidney (
Alternatively, dextran sodium sulfate (DSS) has been adapted from murine studies to induce ulcerative colitis-like pathologies in human gut-on-chip models for testing probiotic therapies (Shin and Kim, 2018). Similar to cytokines and LPS, DSS was capable of decreasing barrier integrity, decreasing villus height, and disrupting the mucus layer of a Caco-2 epithelium without cytotoxic effects (Shin and Kim, 2018). The barrier dysfunction contributed to the onset of inflammation by enhancing inflammatory cytokine production and immune cell recruitment, but if the intestinal barrier remained intact, the negative effects of LPS or nonpathogenic bacteria were suppressed. Probiotics were successful in maintaining the intestinal barrier when administered as pretreatment, but not when administered following DSS (Shin and Kim, 2018).
6 Considerations for modeling inflammatory intestinal disorders
The advancement of gut-on-chip devices with applicable physiological conditions and genetic and environmental factors enables more accurate modeling of IBD and celiac disease compared with standard cell cultures. However, as of yet, there is no singular, established gut-on-chip device that is used to model IBD and none have been developed to model celiac disease. Adapting current microfluidic intestinal inflammation models for more disease-specific purposes requires careful consideration of relevant technological and pathological aspects. Implementation of these features each come with their own limitations (Table 2).
TABLE 2
| Gut-on-chip features | Advantage | Implementation limitations |
|---|---|---|
| Diverse cell population | Ability to model epithelial, endothelial, and immune components | •Different growth media requirements |
| •Different microenvironments | ||
| Complexity of microbiome | Ability to model metabolic functions, pathogen protection, and immune modulation | •Bacterial overgrowth |
| •Different microenvironments (pH, gas composition, water activity) | ||
| Fluid flow | Mimics intestinal nutrient transport and physiological forces acting on cells | •No standardized flow rate |
| •Possible cell layer damage | ||
| •Response time and pressure control depend on pump type | ||
| Persitalsis | Mimics digestion, nutrient transport, and physiological forces acting on cells | •No standardized strain |
| •Requires stretchable membrane under cell layer, typically PDMS | ||
| Inflammatory triggers | Ability to induce inflammation | •No standardized method |
| •Many different inflammatory pathways | ||
| Oxygen modulation | Recreates oxygen gradient along the crypt-villus axis | •Requires integration of oxygen sensors |
| •Oxygen gradients difficult to maintain |
Advantages and limitations to gut-on-chip features.
Current state-of-the-art gut-on-chip models strive to incorporate as many physiological features of the intestines as possible, within the confines of engineering limitations and without hindering usability. As previously mentioned, to accurately recreate the mechanical microenvironment, a gut-on-chip device must be equipped with both luminal flow and peristaltic movement. Technologically, this requires perfusion of culture medium using pumps and the application of cyclic strain. Previous studies have sought to achieve a constant flow rate (30–60 μL/h) that imparted a shear stress of 0.02 dyne/cm2, which has been linked to proper cell organization and mucin production (Lindner et al., 2021). As the cells of the intestinal epithelium do not experience constant shear stress in vivo, dynamic flow rates have also been explored, largely with no additional effects on villus formation or protein expression (Shin et al., 2020;
The structural differences between the small and large intestines, as well as regional differences within each, should also be taken into consideration when creating an in vitro model. To date, most gut inflammation models seek to recreate the general crypt-villus architecture of the small intestine, which disregards the distinct regions of the intestines which can have variable responses to inflammation. Already, specific gut-on-chip devices have been constructed using biopsy samples to represent the duodenum and ileum as well as a colon model using human colonic mucosal tissue (
Inflammatory conditions of the intestines involve a combination of immune and microbial factors, the coculture of which has been facilitated by microfluidic devices. The multichannel composition of gut-on-chip devices permits the application of different factors to the apical or basolateral surface of the intestinal epithelium to study their effects. In a homeostatic state, most models contain an intact epithelial barrier which separates microbial populations on the apical (lumen) side and immune components on the basal side. PBMCs, THP-1, Th17, and MUTZ-3 immune cells have already been incorporated into gut-on-chip models, specifically into microfluidic channels adjacent to the intestinal epithelium (Shin et al., 2020; Trapecar et al., 2020;
Along with immune cells, the lamina propria also contains the intestinal blood supply and lymphatic vasculature. Blood and lymphatic vessels are mainly lined by endothelial cells that can be maladaptive in diseased conditions, playing a role in areas such as cell infiltration, cytokine production, and immunological reactivity (Myrsky et al., 2009;
In terms of pathogenesis, ulcerative colitis and Crohn’s disease have different inflammatory mediator profiles, the former being driven by infiltration of Th2 cell-associated cytokines and the latter by Th1 cell-associated cytokines (Nemeth et al., 2017). Some overlap also exists, as both forms of IBD show increased expression of factors such as Th17 cytokine IL-17 and TNF (
It is also important to consider whether disease severity can be manipulated within gut-on-chip models, as different forms of IBD and celiac disease present differently in individual patients. Beaurivage et al. compared rapid and prolonged exposure of inflammatory factors to Caco-2 cells, finding that there was no significant effect on cytokine production, TEER values, or E-cadherin localization (
Finally, there are currently no standardized methods to trigger inflammation in gut-on-chip models. Delivering inflammatory modulators to apical, basal, or both sides of the intestinal epithelium has resulted in the secretion of different concentrations of pro-inflammatory cytokines. In a study using LPS and IFN-γ as triggers, there was no apparent difference in cytokine levels regardless of whether LPS was applied to the apical or basal compartment, as long as IFN-γ was only applied to the basal side (
7 Conclusion
This review outlines the general construction of gut-on-chip devices as well as how they have been adapted to model intestinal inflammation. An ideal device should provide an intact epithelial barrier with mucus production, peristaltic motion, luminal flow, and interactions between IECs and immune and microbial components. Many existing models have been able to incorporate a combination of these features, but limitations still exist as the field is fairly new. Whether these models can be further adapted for modeling multifactorial diseases such as IBD and celiac disease relies on careful consideration of aspects such as inflammatory mediator profiles, cell type, tissue architecture and the application of microbial and immune factors in an in vivo-like manner. Gut-on-chip models are progressively getting closer to mimicking the intestines in both architecture and physiology, providing more opportunities to create accurate models to study complex inflammatory intestinal conditions. While gaining new insights into the pathogenesis and treatment of these diseases can be achieved with a gut-on-chip device, complete modeling most likely requires the integration of multiple different approaches. All in all, organ-on-chip technology provides an excellent platform for accurately modeling intestinal inflammation, with the promise of further development into IBD and celiac disease models.
Statements
Author contributions
ST: Writing–original draft, Writing–review and editing. KJ-U: Writing–review and editing. KK: Writing–review and editing. KL: Writing–review and editing. PK: Writing–review and editing. MK: Writing–review and editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was funded by the Finland-China Network in Food and Health as a pilot of the global program for research and innovation funded by the Ministry of Education and Culture of Finland, the Mary and Georg C. Ehrnrooth Foundation (KJ-U), the Finnish Cultural Foundation (KJ-U), the Paivikki and Sakari Sohlberg Foundation (KJ-U), and the Diabetes Research Foundation (KJ-U).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1
AlamM. A.Al-JenoobiF. I.Al-mohizeaA. M. (2012). Everted gut sac model as a tool in pharmaceutical research: limitations and applications. J. Pharm. Pharmacol.64 (3), 326–336. 10.1111/j.2042-7158.2011.01391.x
2
AltayG.LarrañagaE.TosiS.BarrigaF. M.BatlleE.Fernández-MajadaV.et al (2019). Self-organized intestinal epithelial monolayers in crypt and villus-like domains show effective barrier function. Sci. Rep.9 (1), 10140–10214. 10.1038/s41598-019-46497-x
3
AndrewsC.McLeanM. H.DurumS. K. (2018). Cytokine tuning of intestinal epithelial function. Front. Immunol.9, 1270. 10.3389/fimmu.2018.01270
4
AtreyaR.ZimmerM.BartschB.WaldnerM. J.AtreyaI.NeumannH.et al (2011). Antibodies against tumor necrosis factor (TNF) induce T-cell apoptosis in patients with inflammatory bowel diseases via TNF receptor 2 and intestinal CD14+ macrophages. Gastroenterol. (New York, N.Y. 1943)141 (6), 2026–2038. 10.1053/j.gastro.2011.08.032
5
BeaurivageC.KanapeckaiteA.LoomansC.ErdmannK. S.StallenJ.JanssenR. A. J. (2020). Development of a human primary gut-on-a-chip to model inflammatory processes. Sci. Rep.10 (1), 21475. 10.1038/s41598-020-78359-2
6
BeaurivageC.NaumovskaE.ChangY.ElstakE.NicolasA.WoutersH.et al (2019). Development of a gut-on-A-chip model for high throughput disease modeling and drug discovery. Int. J. Mol. Sci.20 (22), 5661. 10.3390/ijms20225661
7
BeumerJ.PuschhofJ.Bauzá-MartinezJ.Martínez-SilgadoA.ElmentaiteR.JamesK. R.et al (2020). High-Resolution mRNA and secretome atlas of human enteroendocrine cells. Cell181 (6), 1291–1306. 10.1016/j.cell.2020.04.036
8
BevinsC. L.SalzmanN. H. (2011). Paneth cells, antimicrobial peptides and maintenance of intestinal homeostasis. Nat. Rev. Microbiol.9 (5), 356–368. 10.1038/nrmicro2546
9
BourgineJ.Billaut-LadenI.HappillonM.Lo-GuidiceJ. M.MaunouryV.ImbenotteM.et al (2012). Gene expression profiling of systems involved in the metabolism and the disposition of xenobiotics: comparison between human intestinal biopsy samples and colon cell lines. Drug Metabolism Dispos.40 (4), 694–705. 10.1124/dmd.111.042465
10
BravermanJ.YilmazÖ. H. (2018). From 3D organoids back to 2D enteroids. Dev. Cell44 (5), 533–534. 10.1016/j.devcel.2018.02.016
11
CastañoA. G.García-DíazM.TorrasN.AltayG.ComellesJ.MartínezE. (2019). Dynamic photopolymerization produces complex microstructures on hydrogels in a moldless approach to generate a 3D intestinal tissue model. Biofabrication11 (2), 025007. 10.1088/1758-5090/ab0478
12
ChoeA.HaS. K.ChoiI.ChoiN.SungJ. H. (2017). Microfluidic Gut-liver chip for reproducing the first pass metabolism. Biomed. Microdevices19 (1), 4–11. 10.1007/s10544-016-0143-2
13
ChristophersenA.LundE. G.SnirO.SolàE.KanduriC.Dahal-KoiralaS.et al (2019). Distinct phenotype of CD4 + T cells driving celiac disease identified in multiple autoimmune conditions. Nat. Med.25 (5), 734–737. 10.1038/s41591-019-0403-9
14
CleversH. (2013). The intestinal crypt, A prototype stem cell compartment. Cell154 (2), 274–284. 10.1016/j.cell.2013.07.004
15
CleversH. C.BevinsC. L. (2013). Paneth cells: maestros of the small intestinal crypts. Annu. Rev. Physiology75 (1), 289–311. 10.1146/annurev-physiol-030212-183744
16
CostelloC. M.PhillipsenM. B.HartmanisL. M.KwasnicaM. A.ChenV.HackamD.et al (2017). Microscale Bioreactors for in situ characterization of GI epithelial cell physiology. Sci. Rep.7 (1), 12515–12610. 10.1038/s41598-017-12984-2
17
CreffJ.CoursonR.MangeatT.FoncyJ.SouleilleS.ThibaultC.et al (2019). Fabrication of 3D scaffolds reproducing intestinal epithelium topography by high-resolution 3D stereolithography. Biomaterials221, 119404. 10.1016/j.biomaterials.2019.119404
18
CromerW. E.MathisJ. M.GrangerD. N.ChaitanyaG.AlexanderJ. S. (2011). Role of the endothelium in inflammatory bowel diseases. World J. Gastroenterology17 (4), 578–593. 10.3748/wjg.v17.i5.578
19
DarlingN. J.MobbsC. L.González-HauA. L.FreerM.PrzyborskiS. (2020). Bioengineering novel in vitro Co-culture models that represent the human intestinal mucosa with improved caco-2 structure and barrier function. Front. Bioeng. Biotechnol.8, 992. 10.3389/fbioe.2020.00992
20
de SouzaH. S. P.FiocchiC. (2016). Immunopathogenesis of IBD: current state of the art. Nat. Rev. Gastroenterology Hepatology13 (5), 13–27. 10.1038/nrgastro.2015.186
21
DignassA. U.SturmA. (2001). Peptide growth factors in the intestine. Eur. J. Gastroenterology Hepatology13 (7), 763–770. 10.1097/00042737-200107000-00002
22
EdingtonC. D.ChenW. L. K.GeisheckerE.KassisT.SoenksenL. R.BhushanB. M.et al (2018). Interconnected microphysiological systems for quantitative biology and pharmacology studies. Sci. Rep.8 (1), 4530–4618. 10.1038/s41598-018-22749-0
23
ElmentaiteR.KumasakaN.RobertsK.FlemingA.DannE.KingH. W.et al (2021). Cells of the human intestinal tract mapped across space and time. Nat. Lond.597 (7875), 250–255. 10.1038/s41586-021-03852-1
24
FoisC. A. M.SchindelerA.ValtchevP.DehghaniF. (2021). Dynamic flow and shear stress as key parameters for intestinal cells morphology and polarization in an organ-on- a-chip model. Biomed. Microdevices23 (4), 55. 10.1007/s10544-021-00591-y
25
FriedrichM.PohinM.PowrieF. (2019). Cytokine networks in the pathophysiology of inflammatory bowel disease. Immun. Camb. Mass.)50 (4), 992–1006. 10.1016/j.immuni.2019.03.017
26
GaoD.LiuH.LinJ. M.WangY.JiangY. (2013). Characterization of drug permeability in Caco-2 monolayers by mass spectrometry on a membrane-based microfluidic device. Lab a Chip13 (5), 978–985. 10.1039/c2lc41215b
27
GarroteJ. A.Gómez-GonzálezE.BernardoD.ArranzE.ChirdoF. (2008). Celiac disease pathogenesis: the proinflammatory cytokine network. J. Pediatr. Gastroenterology Nutr.47 (Suppl. 1), S27–S32. 10.1097/mpg.0b013e3181818fb9
28
GijzenL.MarescottiD.RaineriE.NicolasA.LanzH. L.GuerreraD.et al (2020). An intestine-on-a-chip model of plug-and-play modularity to study inflammatory processes. SLAS Technol.25 (6), 585–597. 10.1177/2472630320924999
29
GjorevskiN.AvignonB.GérardR.CabonL.RothA. B.BscheiderM.et al (2020). Neutrophilic infiltration in organ-on-a-chip model of tissue inflammation. Lab a Chip20 (18), 3365–3374. 10.1039/d0lc00417k
30
GómezD. P.BoudreauF. (2021). Organoids and their use in modeling gut epithelial cell lineage differentiation and barrier properties during intestinal diseases. Front. Cell Dev. Biol.9, 732137. 10.3389/fcell.2021.732137
31
GrantJ.LeeE.AlmeidaM.KimS.LoGrandeN.GoyalG.et al (2022). Establishment of physiologically relevant oxygen gradients in microfluidic organ chips. Lab a Chip22 (8), 1584–1593. 10.1039/d2lc00069e
32
GribbleF. M.ReimannF. (2019). Function and mechanisms of enteroendocrine cells and gut hormones in metabolism. Nat. Rev. Endocrinol.15 (4), 226–237. 10.1038/s41574-019-0168-8
33
GuanQ. (2019). A comprehensive review and update on the pathogenesis of inflammatory bowel disease. J. Immunol. Res.2019, 1–16. 10.1155/2019/7247238
34
GuoY.LiZ.SuW.WangL.ZhuY.QinJ. (2018). A biomimetic human gut-on-a-chip for modeling drug metabolism in intestine. Artif. Organs42 (12), 1196–1205. 10.1111/aor.13163
35
HauschF.ShanL.SantiagoN. A.GrayG. M.KhoslaC. (2002). Intestinal digestive resistance of immunodominant gliadin peptides. Am. J. Physiology -Gastrointestinal Liver Physiology283 (4), 996–1003. 10.1152/ajpgi.00136.2002
36
HenryO. Y. F.VillenaveR.CronceM. J.LeineweberW. D.BenzM. A.IngberD. E. (2017). Organs-on-chips with integrated electrodes for trans-epithelial electrical resistance (TEER) measurements of human epithelial barrier function. Lab a Chip17 (13), 2264–2271. 10.1039/c7lc00155j
37
HillmanE. T.LuH.YaoT.NakatsuC. H. (2017). Microbial ecology along the gastrointestinal tract. Microbes Environ.32 (4), 300–313. 10.1264/jsme2.me17017
38
HoffmannP.BurmesterM.LangeheineM.BrehmR.EmplM. T.SeegerB.et al (2021). Caco-2/HT29-MTX co-cultured cells as a model for studying physiological properties and toxin-induced effects on intestinal cells. PLoS One16, e0257824. 10.1371/journal.pone.0257824
39
HolmesR.HourihaneD. O.BoothC. C. (1961). The mucosa of the small intestine. Postgrad. Med. J.37, 717–724. 10.1136/pgmj.37.434.717
40
HuangH.FangM.JostinsL.Umićević MirkovM.BoucherG.AndersonC. A.et al (2017). Fine-mapping inflammatory bowel disease loci to single-variant resolution. Nat. Lond.547 (7662), 173–178. 10.1038/nature22969
41
ImuraY.AsanoY.SatoK.YoshimuraE. (2009). A microfluidic system to evaluate intestinal absorption. Anal. Sci.25 (12), 1403–1407. 10.2116/analsci.25.1403
42
Jalili-FiroozinezhadS.GazzanigaF. S.CalamariE. L.CamachoD. M.FadelC. W.BeinA.et al (2019). A complex human gut microbiome cultured in an anaerobic intestine-on-a-chip. Nat. Biomed. Eng.3 (7), 520–531. 10.1038/s41551-019-0397-0
43
Jalili-FiroozinezhadS.Prantil-BaunR.JiangA.PotlaR.MammotoT.WeaverJ. C.et al (2018). Modeling radiation injury-induced cell death and countermeasure drug responses in a human Gut-on-a-Chip. Cell Death Dis.9 (2), 223–314. 10.1038/s41419-018-0304-8
44
JeonJ.LeeS. H.KimD.SungJ. H. (2021). In vitro hepatic steatosis model based on gut– liver-on a chip. Biotechnol. Prog.37 (e), e3121. 10.1002/btpr.3121
45
JeonM. S.ChoiY. Y.MoS. J.HaJ. H.LeeY. S.LeeH. U.et al (2022). Contributions of the microbiome to intestinal inflammation in a gut-on- a chip. Nano Converg.9 (1), 8. 10.1186/s40580-022-00299-6
46
JiminezJ. A.UwieraT. C.Douglas InglisG.UwieraR. R. E. (2015). Animal models to study acute and chronic intestinal inflammation in mammals. Gut Pathog.7 (29), 29. 10.1186/s13099-015-0076-y
47
JingB.WangZ. A.ZhangC.DengQ.WeiJ.LuoY.et al (2020). Establishment and application of peristaltic human gut-vessel microsystem for studying host-microbial interaction. Front. Bioeng. Biotechnol.8, 272. 10.3389/fbioe.2020.00272
48
KamadaN.SeoS. U.ChenG. Y.NúñezG. (2013). Role of the gut microbiota in immunity and inflammatory disease. Nat. Rev. Immunol.13 (5), 321–335. 10.1038/nri3430
49
KasendraM.LucR.YinJ.ManatakisD. V.KulkarniG.LucchesiC.et al (2020). Duodenum Intestine-Chip for preclinical drug assessment in a human relevant model. eLife9, e50135. 10.7554/elife.50135
50
KasendraM.TovaglieriA.Sontheimer-PhelpsA.Jalili-FiroozinezhadS.BeinA.ChalkiadakiA.et al (2018). Development of a primary human Small Intestine-on-a-Chip using biopsy-derived organoids. Sci. Rep.8 (1), 2871–2914. 10.1038/s41598-018-21201-7
51
KimH. J.HuhD.HamiltonG.IngberD. E. (2012). Human gut-on-a-chip inhabited by microbial flora that experiences intestinal peristalsis-like motions and flow. Lab a Chip12 (12), 2165–2174. 10.1039/c2lc40074j
52
KimH. J.IngberD. E. (2013). Gut-on-a-Chip microenvironment induces human intestinal cells to undergo villus differentiation. Integr. Biol. Camb.5 (9), 1130–1140. 10.1039/c3ib40126j
53
KimH. J.LiH.CollinsJ. J.IngberD. E. (2016). Contributions of microbiome and mechanical deformation to intestinal bacterial overgrowth and inflammation in a human gut-on-a-chip. Proc. Natl. Acad. Sci. U. S. A.113 (1), E7–E15. 10.1073/pnas.1522193112
54
KimJ. J.KhanW. I. (2013). Goblet cells and mucins: role in innate defense in enteric infections. Pathogens2 (1), 55–70. 10.3390/pathogens2010055
55
KimM. H.KimD.SungJ. H. (2021). A Gut-Brain Axis-on-a-Chip for studying transport across epithelial and endothelial barriers. J. Industrial Eng. Chem.101 (0), 126–134. 10.1016/j.jiec.2021.06.021
56
KimW.KimG. (2018). Intestinal villi model with blood capillaries fabricated using collagen-based bioink and dual-cell-printing process. ACS Appl. Mater. Interfaces10 (48), 41185–41196. 10.1021/acsami.8b17410
57
KimW.KimG. H. (2020). An intestinal model with a finger-like villus structure fabricated using a bioprinting process and collagen/SIS-based cell-laden bioink. Theranostics10 (6), 2495–2508. 10.7150/thno.41225
58
KrishnareddyS. (2019). The microbiome in celiac disease. Gastroenterology Clin. N. Am.48 (1), 115–126. 10.1016/j.gtc.2018.09.008
59
LeeS. H.KwonJ. E.ChoM. L. (2018). Immunological pathogenesis of inflammatory bowel disease. Intestinal Res.16 (1), 26–42. 10.5217/ir.2018.16.1.26
60
LeeY.KimM. H.AlvesD. R.KimS.LeeL. P.SungJ. H.et al (2021). Gut-kidney Axis on chip for studying effects of antibiotics on risk of hemolytic uremic syndrome by shiga toxin-producing Escherichia coli. Toxins (Basel)13 (11), 775. 10.3390/toxins13110775
61
Lesher-PérezS. C.KimG. A.KuoC.LeungB. M.MongS.KojimaT.et al (2017). Dispersible oxygen microsensors map oxygen gradients in three-dimensional cell cultures. Biomaterials Sci.5 (10), 2106–2113. 10.1039/c7bm00119c
62
LevyM.KolodziejczykA. A.ThaissC. A.ElinavE. (2017). Dysbiosis and the immune system. Nat. Rev. Immunol.17 (4), 219–232. 10.1038/nri.2017.7
63
LindforsK.CiacciC.KurppaK.LundinK. E. A.MakhariaG. K.MearinM. L.et al (2019). Coeliac disease. Nat. Rev. Dis. Prim.5 (1), 3. 10.1038/s41572-018-0054-z
64
LindnerM.LaporteA.BlockS.ElomaaL.WeinhartM. (2021). Physiological shear stress enhances differentiation, mucus-formation and structural 3D organization of intestinal epithelial cells in vitro. Cells (Basel, Switz.10 (8), 2062. 10.3390/cells10082062
65
LiuJ.LuR.ZhengX.HouW.WuX.ZhaoH.et al (2023). Establishment of a gut-on-a-chip device with controllable oxygen gradients to study the contribution of Bifidobacterium bifidum to inflammatory bowel disease. Biomaterials Sci.11 (7), 2504–2517. 10.1039/d2bm01490d
66
LiuJ. Z.van SommerenS.HuangH.NgS. C.AlbertsR.TakahashiA.et al (2015). Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations. Nat. Genet.47 (9), 979–986. 10.1038/ng.3359
67
MaurerM.GresnigtM. S.LastA.WollnyT.BerlinghofF.PospichR.et al (2019). A three-dimensional immunocompetent intestine-on-chip model as in vitro platform for functional and microbial interaction studies. Biomaterials220, 119396. 10.1016/j.biomaterials.2019.119396
68
McHardyI. H.GoudarziM.TongM.RueggerP. M.SchwagerE.WegerJ. R.et al (2013). Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships. Microbiome1 (1), 17. 10.1186/2049-2618-1-17
69
MinS.ThanN.ShinY. C.HuG.ShinW.AmbrosiniY. M.et al (2022). Live probiotic bacteria administered in a pathomimetic leaky gut chip ameliorate impaired epithelial barrier and mucosal inflammation. Sci. Rep.12 (1), 22641. 10.1038/s41598-022-27300-w
70
MizoguchiA.TakeuchiT.HimuroH.OkadaT.MizoguchiE. (2016). Genetically engineered mouse models for studying inflammatory bowel disease. J. Pathology238 (2), 205–219. 10.1002/path.4640
71
MonteleoneI.PalloneF.MonteleoneG. (2011). Th17-related cytokines: new players in the control of chronic intestinal inflammation. BMC Med.9 (1), 122. 10.1186/1741-7015-9-122
72
MyrskyE.CajaS.Simon-VecseiZ.Korponay-SzaboI. R.NadaluttiC.CollighanR.et al (2009). Celiac disease IgA modulates vascular permeability in vitro through the activity of transglutaminase 2 and RhoA. Cell. Mol. Life Sci.66 (20), 3375–3385. 10.1007/s00018-009-0116-1
73
NaumovskaE.AalderinkG.Wong ValenciaC.KosimK.NicolasA.BrownS.et al (2020). Direct on-chip differentiation of intestinal tubules from induced pluripotent stem cells. Int. J. Mol. Sci.21 (14), 4964. 10.3390/ijms21144964
74
NegoroR.TakayamaK.KawaiK.HaradaK.SakuraiF.HirataK.et al (2018). Efficient generation of small intestinal epithelial-like cells from human iPSCs for drug absorption and metabolism studies. Stem Cell Rep.11 (6), 1539–1550. 10.1016/j.stemcr.2018.10.019
75
NemethZ. H.BogdanovskiD. A.Barratt-StopperP.PaglincoS. R.AntonioliL.RolandelliR. H. (2017). Crohn’s disease and ulcerative colitis show unique cytokine profiles. Cureus (Palo Alto, CA)9 (4), e1177. 10.7759/cureus.1177
76
NeurathM. F. (2014). Cytokines in inflammatory bowel disease. Nat. Rev. Immunol.14 (5), 329–342. 10.1038/nri3661
77
OkkelmanI. A.NetoN.PapkovskyD. B.MonaghanM. G.DmitrievR. I. (2020). A deeper understanding of intestinal organoid metabolism revealed by combining fluorescence lifetime imaging microscopy (FLIM) and extracellular flux analyses. Redox Biol.30, 101420. 10.1016/j.redox.2019.101420
78
ParkerA.VauxL.PattersonA. M.ModasiaA.MuraroD.FletcherA. G.et al (2019). Elevated apoptosis impairs epithelial cell turnover and shortens villi in TNF driven intestinal inflammation. Cell Death Dis.10 (2), 108. 10.1038/s41419-018-1275-5
79
PocockK.DelonL.BalaV.RaoS.PriestC.PrestidgeC.et al (2017). Intestine-on-a-Chip microfluidic model for efficient in vitro screening of oral chemotherapeutic uptake. ACS Biomaterials Sci. Eng.3 (6), 951–959. 10.1021/acsbiomaterials.7b00023
80
PrattisS.JurjusA. (2015). Spontaneous and transgenic rodent models of inflammatory bowel disease. Laboratory Animal Res.31 (2), 47–68. 10.5625/lar.2015.31.2.47
81
RamadanQ.JingL. (2016). Characterization of tight junction disruption and immune response modulation in a miniaturized Caco-2/U937 coculture-based in vitro model of the human intestinal barrier. Biomed. Microdevices18 (1), 11–19. 10.1007/s10544-016-0035-5
82
RescignoM. (2011). The intestinal epithelial barrier in the control of homeostasis and immunity. Trends Immunol.32 (6), 256–264. 10.1016/j.it.2011.04.003
83
RinninellaE.RaoulP.CintoniM.FranceschiF.MiggianoG.GasbarriniA.et al (2019). What is the healthy gut microbiota composition? A changing ecosystem across age, environment, diet, and diseases. Microorg. (Basel)7 (1), 14. 10.3390/microorganisms7010014
84
RodríguezJ. M.MurphyK.StantonC.RossR. P.KoberO. I.JugeN.et al (2015). The composition of the gut microbiota throughout life, with an emphasis on early life. Microb. Ecol. Health and Dis.26 (1), 1–26050. 10.3402/mehd.v26.26050
85
SatoT.CleversH. (2013). Growing self-organizing mini-guts from a single intestinal stem cell: mechanism and applications. Sci. Am. Assoc. Adv. Sci.340 (6137), 1190–1194. 10.1126/science.1234852
86
ShahP.FritzJ. V.GlaabE.DesaiM. S.GreenhalghK.FrachetA.et al (2016). A microfluidics-based in vitro model of the gastrointestinal human-microbe interface. Nat. Commun.7 (1), 11535. 10.1038/ncomms11535
87
ShimK. Y.LeeD.HanJ.NguyenN. T.ParkS.SungJ. H. (2017). Microfluidic gut-on-a-chip with three-dimensional villi structure. Biomed. Microdevices19 (2), 37–10. 10.1007/s10544-017-0179-y
88
ShinW.KimH. J. (2018). Intestinal barrier dysfunction orchestrates the onset of inflammatory host–microbiome cross-talk in a human gut inflammation-on-a-chip. Proc. Natl. Acad. Sci. U. S. A.115 (45), E10539–E10547. 10.1073/pnas.1810819115
89
ShinW.WuA.MassiddaM. W.FosterC.ThomasN.LeeD. W.et al (2019). A robust longitudinal Co-culture of obligate anaerobic gut microbiome with human intestinal epithelium in an anoxic-oxic interface-on-a-chip. Front. Bioeng. Biotechnol.7, 13. 10.3389/fbioe.2019.00013
90
ShinY. C.ShinW.KohD.WuA.AmbrosiniY. M.MinS.et al (2020). Three-dimensional regeneration of patient-derived intestinal organoid epithelium in a physiodynamic mucosal interface-on-a-chip. Micromachines (Basel)11 (7), 663. 10.3390/mi11070663
91
Sontheimer-PhelpsA.ChouD. B.TovaglieriA.FerranteT. C.DuckworthT.FadelC.et al (2020). Human colon-on-a-chip enables continuous in vitro analysis of colon mucus layer accumulation and physiology. Cell. Mol. Gastroenterology Hepatology9 (3), 507–526. 10.1016/j.jcmgh.2019.11.008
92
SoucyJ. R.BindasA. J.KoppesA. N.KoppesR. A. (2019). Instrumented microphysiological systems for real-time measurement and manipulation of cellular electrochemical processes. iScience21, 521–548. 10.1016/j.isci.2019.10.052
93
SpecianR. D.OliverM. G. (1991). Functional biology of intestinal goblet cells. Am. J. Physiology - Cell Physiology260 (2), 183–193. 10.1152/ajpcell.1991.260.2.c183
94
SpenceJ. R.MayhewC. N.RankinS. A.KuharM. F.VallanceJ. E.TolleK.et al (2011). Directed differentiation of human pluripotent stem cells into intestinal tissue in vitro. Nat. Lond.470 (7332), 105–109. 10.1038/nature09691
95
StroberW.FussI.MannonP. (2007). The fundamental basis of inflammatory bowel disease. J. Clin. Investigation117 (3), 514–521. 10.1172/jci30587
96
SunH.ChowE. C.LiuS.DuY.PangK. S. (2008). The Caco-2 cell monolayer: usefulness and limitations. Expert Opin. Drug Metabolism Toxicol.4 (4), 395–411. 10.1517/17425255.4.4.395
97
SungJ. H.YuJ.LuoD.ShulerM. L.MarchJ. C. (2011). Microscale 3-D hydrogel scaffold for biomimetic gastrointestinal (GI) tract model. Lab. Chip11 (3), 389–392. 10.1039/c0lc00273a
98
SuzukiT. (2012). Regulation of intestinal epithelial permeability by tight junctions. Cell. Mol. Life Sci.70 (4), 631–659. 10.1007/s00018-012-1070-x
99
TanakaM.SaitoH.KusumiT.FukudaS.ShimoyamaT.SasakiY.et al (2001). Spatial distribution and histogenesis of colorectal Paneth cell metaplasia in idiopathic inflammatory bowel disease. J. Gastroenterology Hepatology16 (12), 1353–1359. 10.1046/j.1440-1746.2001.02629.x
100
ThomsonA.SmartK.SomervilleM. S.LauderS. N.AppannaG.HorwoodJ.et al (2019). The Ussing chamber system for measuring intestinal permeability in health and disease. BMC Gastroenterol.19 (1), 98. 10.1186/s12876-019-1002-4
101
ThorneC. A.ChenI. W.SanmanL. E.CobbM. H.WuL. F.AltschulerS. J. (2018). Enteroid monolayers reveal an autonomous WNT and BMP circuit controlling intestinal epithelial growth and organization. Dev. Cell44 (5), 624–633.e4. 10.1016/j.devcel.2018.01.024
102
TrapecarM.CommunalC.VelazquezJ.MaassC. A.HuangY. J.SchneiderK.et al (2020). Gut-liver physiomimetics reveal paradoxical modulation of IBD- related inflammation by short-chain fatty acids. Cell Syst.10 (3), 223–239.e9. 10.1016/j.cels.2020.02.008
103
TrapecarM.WogramE.SvobodaD.CommunalC.OmerA.LungjangwaT.et al (2021). Human physiomimetic model integrating microphysiological systems of the gut, liver, and brain for studies of neurodegenerative diseases. Sci. Adv.7 (5), eabd1707. 10.1126/sciadv.abd1707
104
TrietschS. J.NaumovskaE.KurekD.SetyawatiM. C.VormannM. K.WilschutK. J.et al (2017). Membrane-free culture and real-time barrier integrity assessment of perfused intestinal epithelium tubes. Nat. Commun.8 (1), 262–268. 10.1038/s41467-017-00259-3
105
VerhulselM.SimonA.Bernheim-DenneryM.GannavarapuV. R.GérémieL.FerraroD.et al (2021). Developing an advanced gut on chip model enabling the study of epithelial cell/fibroblast interactions. Lab a Chip21 (2), 365–377. 10.1039/d0lc00672f
106
VillenaveR.WalesS. Q.Hamkins-IndikT.PapafragkouE.WeaverJ. C.FerranteT. C.et al (2017). Human gut-on-A-chip supports polarized infection of coxsackie B1 virus in vitro. PLoS One12 (2), e0169412. 10.1371/journal.pone.0169412
107
WangY.GunasekaraD. B.ReedM. I.DiSalvoM.BultmanS. J.SimsC. E.et al (2017). A microengineered collagen scaffold for generating a polarized crypt-villus architecture of human small intestinal epithelium. Biomaterials128, 44–55. 10.1016/j.biomaterials.2017.03.005
108
WirtzS.PoppV.KindermannM.GerlachK.WeigmannB.Fichtner-FeiglS.et al (2017). Chemically induced mouse models of acute and chronic intestinal inflammation. Nat. Protoc.12 (7), 1295–1309. 10.1038/nprot.2017.044
109
WorkmanM. J.GleesonJ. P.TroisiE. J.EstradaH. Q.KernsS. J.HinojosaC. D.et al (2018). Enhanced utilization of induced pluripotent stem cell–derived human intestinal organoids using microengineered chips. Cell. Mol. Gastroenterology Hepatology5 (4), 669–677.e2. 10.1016/j.jcmgh.2017.12.008
110
WuQ.LiuJ.WangX.FengL.WuJ.ZhuX.et al (2020). Organ-on-a-chip: recent breakthroughs and future prospects. Biomed. Eng. Online19 (1), 9. 10.1186/s12938-020-0752-0
111
YamauraY.ChapronB. D.WangZ.HimmelfarbJ.ThummelK. E. (2016). Functional comparison of human colonic carcinoma cell lines and primary small intestinal epithelial cells for investigations of intestinal drug permeability and first-pass metabolism. Drug Metabolism Dispos.44 (3), 329–335. 10.1124/dmd.115.068429
112
YinS.RayG.KerschnerJ. L.HaoS.PerezA.DrummM. L.et al (2020). Functional genomics analysis of human colon organoids identifies key transcription factors. Physiol. Genomics52 (6), 234–244. 10.1152/physiolgenomics.00113.2019
113
YoshidaS.MiwaH.KawachiT.KumeS.TakahashiK. (2020). Generation of intestinal organoids derived from human pluripotent stem cells for drug testing. Sci. Rep.10 (1), 5989. 10.1038/s41598-020-63151-z
114
ZeissigS.BurgelN.GunzelD.RichterJ.MankertzJ.WahnschaffeU.et al (2007). Changes in expression and distribution of claudin 2, 5 and 8 lead to discontinuous tight junctions and barrier dysfunction in active Crohn’s disease. Gut56 (1), 61–72. 10.1136/gut.2006.094375
115
ZhangJ.HuangY. J.YoonJ. Y.KemmittJ.WrightC.SchneiderK.et al (2021). Primary human colonic mucosal barrier crosstalk with super oxygen- sensitive faecalibacterium prausnitzii in continuous culture. Med. (New York, N. Y. Online.2 (1), 74–98.e9. 10.1016/j.medj.2020.07.001
Summary
Keywords
gut-on-a-chip, celiac disease, IBD, tissue engineering, intestinal epithelium
Citation
Taavitsainen S, Juuti-Uusitalo K, Kurppa K, Lindfors K, Kallio P and Kellomäki M (2024) Gut-on-chip devices as intestinal inflammation models and their future for studying multifactorial diseases. Front. Lab. Chip. Technol. 2:1337945. doi: 10.3389/frlct.2023.1337945
Received
13 November 2023
Accepted
27 December 2023
Published
11 January 2024
Volume
2 - 2023
Edited by
Lydia Sohn, University of California, Berkeley, United States
Reviewed by
Michael Super, Harvard University, United States
Qasem Ramadan, Alfaisal University, Saudi Arabia
Updates

Check for updates
Copyright
© 2024 Taavitsainen, Juuti-Uusitalo, Kurppa, Lindfors, Kallio and Kellomäki.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Susanne Taavitsainen, susanne.taavitsainen@tuni.fi
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.