REVIEW article

Front. Lab Chip Technol., 11 January 2024

Sec. Organ on a Chip

Volume 2 - 2023 | https://doi.org/10.3389/frlct.2023.1337945

Gut-on-chip devices as intestinal inflammation models and their future for studying multifactorial diseases

  • 1. Laboratory of Biomaterials and Tissue Engineering, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland

  • 2. Celiac Disease Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland

  • 3. Micro and Nanosystems Research Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland

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

ModelDevice materialChannel specificationsMembrane materialPeristalsisFluid flowOxygen modulationEpithelial cell typeEpithelium morphologyEndotheliumMucus productionMicrobesImmune cellsApplication
PeristalticPDMS2 microchannelsPDMSyesyesyesCaco-2, intestinal biopsy-derived organoidsspontaneous villus-like structureHIMECsyesyesnoCoculture of anaerobic and aerobic commensal
PDMS2 microchannelsPDMSyesyesyesCaco-2spontaneous villus-like structurenoyesyesnoHost-microbe cocultureShin et al. (2019)
PDMS2 microchannelsPDMSyesyesnointestinal biopsy-derived organoidsspontaneous villus-like structureHIMECsyesnonoPreclinical drug assessment,
PDMS2 microchannelsPDMSyesyesnoiPSC-derived organoidsspontaneous villus-like structurenoyesnonoModeling intestinal physiologyWorkman et al. (2018)
PDMS2 convoluted microchannelsPDMSyesyesnoCaco-2, intestinal biopsy-derived organoids3D epithelial microarchitecturesnoyesyesnoFormation of patient-derived intestinal organoid epitheliumShin et al. (2020)
PDMS3 microchannelsPDMSyesyesnoCaco-2spontaneous villus-like structureHMVECsyesyesPBMCsGut inflammation
PDMS, PMMA3 microchannelsPDMSyesyesnoCaco-2spontaneous villus-like structureHUVECsyesyeshuman macrophage U937host-microbial interactions
PDMS2 microchannelsPDMSyesyesnoCaco-2spontaneous villus-like structurenoyesyesnoHost-microbe coculture, Villenave et al. (2017), Shin and Kim (2018)
PDMS2 microchannelsPDMSyesyesnoCaco-2spontaneous villus-like structureHUVECsyesnonoDisease modeling, countermeasure drug screening
PDMS2 microchannelsPDMSyesyesnoCaco-2spontaneous villus-like structurenoyesnonoRecreation of gut microenvironment
Scaffold-basedPDMS2 microchannelsPolyethylene terephthalatenoyesnoCaco-2Villus-like on collagen scaffoldnoN/AnonoIntestintal absorptive functionShim et al. (2017)
VeroClear RGD8102 chambersN/AnoyesnoCaco-2Villus-like on poly-ethylene-co-vinyl-acetate scaffoldnoyesnonoCharacterization of intestinal physiology
Polystyrene (OrganoPlate)3 microchannelsECM gelnoyesnointestinal biopsy-derived organoidsIntestinal-like epithelial tubulesnoyesnomonocyte-derived macrophagesModel inflammatory processes
Polystyrene (OrganoPlate)3 microchannelsECM gelnoyesnohiPSCsIntestinal-like epithelial tubulesnoyesnonoDifferentiation of intestinal tubulesNaumovska et al. (2020)
Polystyrene (OrganoPlate)3 microchannelsECM gelnoyesnoCaco-2, HT29Intestinal-like epithelial tubulesnoyesnoTHP-1, MUTZ-3Study inflammatory processes,
Polystyrene (OrganoPlate)3 microchannelsECM gelnoyesnoCaco-2Intestinal-like epithelial tubulesnoN/AnonoModeling inflammatory state and drug discovery, barrier integrity assessmentTrietsch et al. (2017),
Perfusion-onlyPDMS2 microchannelsPDMSnoyesyesintestinal biopsy-derived organoidsspontaneous villus-like structurenoN/AnonoEstablishing oxygen gradients
PDMS2 microchannelsPDMSnoyesnointestinal biopsy-derived organoidsspontaneous villus-like structurenoyesnonoAnalysis of mucus layerSontheimer-Phelps et al. (2020)
Polystyrol2 microchannelsPolyethylene terephthalatenoyesnoCaco-2spontaneous villus-like structureHUVECsyesyesPBMCsMicrobial interactionsMaurer et al. (2019)
PDMS3 microchannelsECM gelnoyesnoCaco-2monolayer with villus-like structuresHUVECsyesyesnoMicrobial contribution to intestinal inflammation
Polysulfone6 culture modulesTranswell insertnoyesyesintestinalbiopsy-derived organoidsflat monolayernoyesyesnoSuper oxygen-sensitive microbial interactionsZhang et al. (2021)
Polycarbonate, silicone3 microchannelsPolycarbonatenoyesyesCaco-2flat monolayernoN/Ayesprimary CD4+ T cellsHost-microbe molecular interactionsShah et al. (2016)
PDMS2 microchannelspolyethylene terephthalatenoyesnoCaco-2flat monolayernoN/AnonoIntestinal absorptivefunctionality
PDMS2 microchannelspolycarbonatenoyesnoCaco-2flat monolayernoN/AnonoDrug permeability, Pocock et al. (2017)
PDMS, PMMA, polystyrene2 microchannelspolyethylene terephthalatenoyesnoCaco-2flat monolayernononohuman macrophage U937Nutrition metabolism, immunomodulatory functionRamadan and Jing (2016)
PDMS1 microchannelnitrocellulosenoyesnoCaco-2flat monolayernoyesnonoModeling drug metabolism
Multi-organPolysulfone, acrylicgut module brain module liver modulepolyurethanenoyesnointestinal biopsy-derived organoidsflat monolayernoN/Amicrobe metabolitesprimary CD4+ T cellsStudying neurodegenerative diseases, inflammation model, Trapecar et al. (2020), Trapecar et al. (2021)
PDMS2 microchannelsTranswell insertnoyesnoCaco-2Villus-like on collagen scaffoldnoyesnonoin vitro hepatic steatosis model
PDMSgut microchannel liver microchannelpolyesternoyesnoCaco-2flat monolayernonononoFirst pass metabolism of drugs
PDMSgut module BBB modulepolyesternoyesnoCaco-2flat monolayernonononoTransport 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

; Shim et al., 2017; ; ).

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) (). The confluent tubule was defined by tight junction and brush border formation as well as increased expression of glucose and MRP2 transporters, suggesting that the ECM plays an important role in cell differentiation and protein expression (Trietsch et al., 2017).

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; ; ; ; ; Verhulsel et al., 2021). For example, Shim et al. fabricated a collagen scaffold using photolithography on which cultured Caco-2 cells formed intestinal structures resembling human intestinal villi (Shim et al., 2017). The combination of perfusion flow and three-dimensional morphology improved metabolic activity and influenced drug absorption, which were largely attributed to a larger absorptive surface and alterations in the expression of tight junctions and transporter proteins (Shim et al., 2017). The importance of cell-matrix interactions and spatial microstructure has also been noted with similar villus scaffolds made from other materials such as poly-lactic-glycolic acid (PLGA) (; Wang et al., 2017).

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 (). Kim et al. also found that cyclic strain increased the expression of proteins in lipid and carbohydrate metabolism, as well as enzyme activity related to intestinal differentiation (). More advanced gut-on-chip models implement a combination of luminal flow and peristalsis-like movement, supporting the formation of villus architecture and coculture with microbiota and immune cells.

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 (). Introduction of lipopolysaccharide (LPS) or a combination of nonpathogenic bacteria and immune cells to the Caco-2 villi led to increased production of TNF-α, IL-1β, IL-6, and IL-8 by epithelial cells (). Subsequently, as long as IL-8 was also present, each of these proinflammatory cytokines alone was able to elicit the destruction and shortening of villi and decreased barrier function that is characteristic for IBD patients (). In a separate study with similar chip design by Min et al., proinflammatory cytokines TNF-α and IL-1β successfully impaired the Caco-2 barrier and led to intestinal inflammation (Min et al., 2022). Similarly, a combination of IL-1β, TNF-α and IFN-γ successfully triggered increased cell activation and loss of barrier integrity in Caco-2 tubules formed in the OrganoPlate platform, as supported by increased cytokine release by IECS and a drop in transepithelial electrical resistance (TEER) values (). In all three studies, as wells as a study by Liu et al., anti-inflammatory compounds or probiotic therapies were able to suppress the IEC destruction (Liu et al., 2023).

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 (). The epithelial layer exhibited decreased barrier function and inflammation with the introduction of TNF-α and IL-1β (). The inflammatory state was prevented with the application of TPCA-1, an anti-inflammatory drug. Gjorevski et al. used a similar experimental setup to study neutrophil infiltration and neutrophil-mediated epithelial damage after triggering inflammation in the Caco-2 tubule using LPS in the presence of THP-1 immune cells (). The addition of pro-inflammatory mediators resulted in a leaky epithelial barrier and the activation of macrophages, which in turn attracted and allowed the migration of neutrophils through the ECM gel to further promote tissue inflammation and damage (). More recently, Jeon et al. also reported similar results using the same device design further enhanced with microelectrode arrays and endothelial cells cultured on the opposite side of the 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 (). They further assessed the interplay between inflammation and the immune system by incorporating monocyte-derived macrophages that, upon cytokine treatment, differentiated into TNF-α and IL-6 secreting M1 inflammatory macrophages (). Shin et al. also created a gut-on-chip model by culturing intestinal organoids derived from patients with Crohn’s disease and ulcerative colitis, showing that the diseased epithelial pathology and protein expression is retained in vitro (Shin et al., 2020). Although biopsy is a somewhat limited and invasive source of tissue, these results hold the promise of patient-specific disease modeling.

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 (; Trapecar et al., 2021).

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 featuresAdvantageImplementation limitations
Diverse cell populationAbility to model epithelial, endothelial, and immune components•Different growth media requirements
•Different microenvironments
Complexity of microbiomeAbility to model metabolic functions, pathogen protection, and immune modulation•Bacterial overgrowth
•Different microenvironments (pH, gas composition, water activity)
Fluid flowMimics 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
PersitalsisMimics digestion, nutrient transport, and physiological forces acting on cells•No standardized strain
•Requires stretchable membrane under cell layer, typically PDMS
Inflammatory triggersAbility to induce inflammation•No standardized method
•Many different inflammatory pathways
Oxygen modulationRecreates 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; ). Nevertheless, dynamic flow rates could be capable of representing the transport of particles through the intestines more accurately. To mimic peristalsis, cyclic strain (5%–10% strain, 0.15–0.2 Hz) has typically been implemented by stretching the membrane under the IEC layer using vacuum suction (). In order to study the complex anaerobic and aerobic microbes that are present in the intestines, a gut-on-chip device must also mimic the low oxygen environment of the intestinal lumen and the comparatively well-oxygenated intestinal tissue. To do so, PDMS gut-on-chip devices, due to their gas permeability, have been placed in anaerobic chambers continuously supplied with CO2 (; ). Alternatively, Shah et al. used polycarbonate to segregate the culture area and perfused anoxic medium to control the oxygen concentration (Shah et al., 2016). Due to the small size of microfluidic devices, precisely quantifying properties such as oxygen concentration, pH, and TEER requires integration of different sensing systems. For example, the barrier function of the intestinal epithelium can be monitored with TEER electrodes, or the amount of dissolved oxygen can be measured using optical sensors (Shah et al., 2016; ; ; ; ; Soucy et al., 2019; Okkelman 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 (; ; ; Sontheimer-Phelps et al., 2020). The use of region-specific gut-on-chip devices should be further expanded to study inflammation and disease progression in applicable areas of the GI tract. Similarly, the cellular components of the epithelium must be accurately represented. Caco-2 cells cultured in microfluidic devices have been reported to spontaneously form structures similar to the small intestine, but genomic analysis has revealed lower expression of physiologically relevant genes compared to gut-on-chip cultures of biopsy-derived organoids (Yin et al., 2020). Biopsy samples and iPSC-derived organoids share the same genetic features and develop similar cellular architecture as intestinal epithelium in vivo but with a closed configuration, making them inaccessible from the apical side. A further development for gut-on-chip models would be to use intestinal organoids to generate the epithelial monolayer, or to differentiate and mature iPSCs towards intestinal epithelial cells in 2D (Negoro et al., 2018; Thorne et al., 2018).

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; ; ). An immunocompetent model is especially important with regard to the development of a celiac disease gut-on-chip, where CD4+ T cells have an important role in creating an inflammatory milieu enabling the development of tissue damage (; Lindfors et al., 2019). The intestinal microbiota also has several proposed roles in IBD and celiac disease. For example, dysbiosis of the microbiota could alter the permeability of the intestinal barrier, allowing for the translocation of the luminal contents into the lamina propria and subsequently triggering immune responses (Levy et al., 2017). Since the exact role and interplay between immune cells, the intestinal microbiota, and other cell types are largely unknown, further study requires their integration into future gut-on-chip disease models. Unlike most conventional intestinal models, organ-on-chip technology allows for evaluating the relative contributions of the different factors to inflammatory diseases.

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 existing two-channel gut-on-chip models it is relatively common to include HUVECs or HIMECs with the result that they form an endothelial monolayer adjacent to the intestinal epithelium. Other cells that are thought to play a role in the progression of mucosal barrier destruction are intraepithelial lymphocytes (IELs) that represent a population of T cells interspersed between IECs. Generally, IELs participate in the protection of the intestinal epithelial layer. However, in celiac disease, these cells are found to be cytotoxic in nature and capable of inducing IEC apoptosis upon the onset of an immune response (Lindfors et al., 2019). The central role of IELs in promoting atrophy of small intestinal villi conveys the need for their representation in an accurate in vitro celiac disease model.

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 (; Monteleone et al., 2011). The existence of specific cytokine networks that lead to mucosal inflammation is further supported by the key cytokines linked to the perpetuation of celiac disease, including IFN-γ, IL-15, and IL-21 (). Thus, especially when using Caco-2 cells, the right combination of triggers is necessary to result in gut-on-chip inflammation that has both structural changes and levels of cytokine release comparable to the specific disease. Utilizing a cell source that retains the disease pathology without the use of an external stimulant could be a way to surpass this challenge.

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 (). Though there was no change in the severity of the inflammatory state, it was proposed that further optimizing the concentration of cytokines could more accurately depict different disease phenotypes.

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 (). When LPS and IFN-γ were simultaneously applied to both sides, there were fluctuations in the secretion of multiple cytokines both apically and basally. In this case, the conclusion was to apply the inflammatory trigger to both sides to promote the complete activation and differentiation of macrophages, but many other studies apply triggers to only one side of the epithelium (). No clear answer exists to how inflammation should be triggered, but the results from different approaches illuminate how even slight variability can have an impact on the overall accuracy of a disease model.

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.

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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

Copyright

*Correspondence: Susanne Taavitsainen,

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.

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