Published online Jul 28, 2025. doi: 10.3748/wjg.v31.i28.108297
Revised: May 18, 2025
Accepted: July 2, 2025
Published online: July 28, 2025
Processing time: 105 Days and 13.3 Hours
The gastrointestinal (GI) tract is essential for digestion, absorption, excretion, and protection, supported by a diverse microbial ecosystem. Traditional in-vitro mo
Core Tip: This review highlights the need for advanced in-vitro models to better replicate the gastrointestinal (GI) tract’s complexity for translational research. It compares the evolution from conventional 2-dimensional cultures toward 3-dimensional and microfluidic systems. Key advancements include the use of patient-derived cells, engineered microenvironments, and bioprinting techniques like micro-extrusion and laser-assisted printing. These technologies enable modeling of essential processes such as peristalsis, molecular transport, and liver coupling. By enhancing physiological relevance, these models support personalized medicine and improve the predictive power of preclinical GI research.
- Citation: Skok K, Vihar B, Maver U, Gradišnik L, Bräutigam K, Trapecar M, Skok P. Gastrointestinal tract, its pathophysiology and in-vitro models: A “quick” reference guide to translational studies. World J Gastroenterol 2025; 31(28): 108297
- URL: https://www.wjgnet.com/1007-9327/full/v31/i28/108297.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i28.108297
Despite significant advances in gastrointestinal (GI) research, existing in-vitro models often fail to recapitulate the full complexity of the GI tract. Functions of the digestive system include digestion, absorption, excretion, and protection. In addition to these functions, which are maintained by the respective organs individually, as well as in concert, there is a growing body of evidence that supports the importance of the microbiome, composed of a collection of bacteria, fungi, viruses and archaea. These produce a diverse ecosystem of about 1014 microorganisms[1]. Studying such a diverse and complicated system requires multidisciplinary approaches. A potential approach to studying these systems in a controlled environment are in-vitro as well as in vivo models[2]. The benefit of these models is the fact that they adhere to the “3Rs” principles, defined by Russell and Burch in 1959[3]. These 3Rs are: “Replace” animals used in experiments with non-sentient alternatives; “Reduce” the number of animals employed; and “Refine” animal experiments so that they cause minimum pain and distress[3,4]. This review aims to provide a comprehensive reference guide that bridges the gap between simple cell cultures and complex, dynamic systems used in translational studies[1,5-7]. It systematically details the anatomy and pathophysiology of specific digestive tract diseases, especially those with an inflammatory etiology, providing clear rationale for the necessity of complex model systems. Furthermore, it highlights the wide range of applications for these models and explores emerging trends in culturing techniques that better replicate the human digestive tract environment.
Following this introduction, we detail the GI tract and its pathologies. This will serve as a discussion basis. Following that we continue with in-vitro models, compare their performance, and discuss their translational relevance.
The digestive tract is estimated to be 8 m-9 m long and is composed of different interconnected organs (Figure 1). Malig
The adult oesophagus is an 18- to 25-cm-long muscular tube (Figure 1). In contrast to other portions of the GI tract the oesophagus does not have a serosal covering. The most common types of cancers of the oesophagus are SCCs and adeno
The stomach has been formerly only known as a hollow muscular structure, today, it is regarded as one of the most com
Chronic infection (Figure 2B) with Helicobacter pylori (H. pylori) is recognized as a key factor in the development of several gastric disorders, including gastric cancer, and remains a significant global health issue due to its widespread occurrence[18,19]. After entering the stomach, H. pylori adheres to the gastric epithelium, particularly at cell junctions, establishing a protected niche that allows it to survive in the otherwise hostile acidic environment[20,21]. Once estab
Understanding the underlying mechanisms remains challenging, largely because commonly used model systems do not accurately mimic the complex environment of the human stomach[23]. Standard in-vitro approaches often lack key physiological features such as dynamic potential of hydrogen conditions, mucus secretion, and the full spectrum of diffe
Hofer et al[27] just recently presented and patterned a homeostatic human gastric organ-on-a-chip (OoC) system with bilateral access. They claim that is capable of modeling H. pylori niche establishment and persistent colonization of the gastric epithelium[27]. The authors stated that under physiologically relevant acidic conditions at the apical surface, the OoC system supported the development of more mature gastric pit cells compared to conventional organoid cultures[27]. The differentiated pit cells displayed, after exposure to H. pylori, a distinct response that sets them apart from other epithelial cell types an aspect that had not been previously described. The authors concluded that the model could prove to be powerful tool for broader investigations into gastric epithelial dynamics, mucosal immune responses, and host-microbe interactions[27].
Diseases of the small intestine (Figure 3A and B) that are noteworthy in the context of in-vitro cell culturing are speci
CeD is an autoimmune enteropathy, 1%-2% of the general population, triggered by gluten in genetically susceptible individuals risk haplotypes [human leucocyte antigen (HLA)-DQ2.5, -DQ2.2, -DQ8, and -DQ8.5][32,33], with HLA-DQ2.5 carrying the strongest risk association[34]. The immune pathophysiology is complex. It involves innate and adaptive immune responses as well as the intestinal epithelium, which may interact with environmental risk factors (e.g., gut microbiome, luminal antigens, viral infections etc.)[34]. The disease leads to atrophy of the small intestinal mucosa and consequently to malabsorption[32]. The main histological features include villous atrophy, crypt hyperplasia and intraepithelial lymphocytosis. These findings are summarized in the modified MARSH criteria, which are used for histological diagnosis[35]. Ingested gluten is partially digested into peptides, including immunogenic fragments like gliadin [parti
To date, there is no model system that fully recapitulates the complexity of CeD[40]. Current in-vitro models include immortalized cell lines (CLs) and mucosal biopsies. The immune system has been investigated using CLs of monocytes, such as THP-1, or intestinally derived T cells[41,42]. Existing data on epithelial barrier function are largely based on the CLs Caco2, T84, and HT-29[43-45]. Immortalized CLs do not represent the genetics of CeD and have poor genomic integrity[40]. Patient-derived intestinal biopsy material does contain the CeD-associated genetic background and directly reflects the disease phenotype, but is scarce because of its invasive nature. Another option are murine models. In terms of completeness they present a living model with working inter-organ communication[46]. However, the model requires thorough understanding of induction of disease and is due to interspecies differences in physiology, pharmacology and cellular processes difficult to extrapolate to humans.
OoC technology may solve many of these drawbacks[47]. A recent paper[48] showcased the potential of an induced pluripotent stem cells (iPSCs)-derived small intestine-on-chip with a self-organised tight epithelial layer, including villus-like structures and a cell type composition that resembles the human small intestine. Just recently, an in-depth review on human organoids and OoC in CeD has been published[39].
Although significant progress has been made in managing inflammatory bowel disease (IBD)[49], a definitive cure remains out of reach. This is largely due to an incomplete understanding of the disease’s complex origins and biological mechanisms[31,50]. Over recent decades, a range of experimental models spanning in-vitro, in vivo, and ex vivo systems has been introduced to help close these knowledge gaps[31,40,46,51].
Crohn’s disease and ulcerative colitis (UC) are two main forms of IBD, but they differ significantly[52]. Crohn’s can impact any segment of the GI tract in a patchy, discontinuous pattern, often involving all layers of the gut wall[53]. UC, in contrast, is confined to the colon and rectum and affects only the inner lining in a continuous manner[54].
Current thinking emphasizes an abnormal immune response to intestinal microbes[55], likely triggered by environmental factors in genetically susceptible individuals[56]. In IBD, several key defense mechanisms in the gut are impaired. These include weakened tight junctions, changes in the mucus layer, and microbial imbalances[52]. Dysfunctional goblet and Paneth cells contribute to this, as they produce less protective mucus and antimicrobial substances, respectively. Defects in autophagy-related genes such as NOD2 and ATG16 L1 are also associated with increased disease risk[52].
The weakened barrier allows gut microbes to invade the intestinal wall, prompting immune cells like macrophages and dendritic cells to release pro-inflammatory cytokines [e.g., tumor necrosis factor (TNF)-α, IL-6, IL-23], which attract more immune cells and fuel ongoing inflammation[57-59]. This results in increased gut permeability and a self-sustaining inflammatory cycle[59]. A key feature is the imbalance between regulatory T cells (Tregs) and inflammatory Th17 cells, which contributes to immune overactivation[52].
Furthermore, mitochondrial dysfunction has emerged as a factor in IBD pathology[60]. Genes linked to mitochondrial stability (e.g., MDR1, HNF4A) are disrupted, leading to oxidative stress and impaired energy production in intestinal cells[52,61]. This mitochondrial damage affects cell renewal and further weakens the gut barrier. Such findings suggest that targeting mitochondrial health could be a promising strategy for restoring intestinal function and controlling inflammation in IBD[62].
There are various three-dimensional (3D) intestinal inflammation models that can at least partially, recapitulate IBD features. These include models based on scaffolds or hydrogels and those based on decellularized tissue models, as well as more complex intestine-on-a-chip systems and organoids.
Some of these include: Leonard et al[63] developed a 3D co-culture model by embedding human blood monocyte-derived macrophages and DCs in a collagen matrix on a semi-permeable Transwell® filter insert, with Caco-2 cells seeded on top. This model was subjected to different types of proinflammatory stimuli [lipopolysaccharides (LPS) from Escherichia coli and Salmonella typhimurium, IL-1β, IFN-γ], IL-1β presented the strongest induction of inflammation[63].
Later on, the model was further improved by replacing the primary immune cells with a macrophage-derived CLs and dendritic-like cells (MUTZ-3), in an effort to enhance reproducibility and facilitate a more comprehensive assessment of cytotoxicity[64].
Another study described a triple co-culture intestinal model consisting of an intestinal epithelial layer (Caco-2/HT29-MTX cells) and immunocompetent cells. The main goal was to represent a healthy intestine characterized by a stable intestinal barrier and to evaluate the efficacy of anti-inflammatory drugs[65].
Le et al[66] described a complex in-vitro triple-culture model aiming to develop an inflammation-triggered in-vitro leaky gut model using Caco-2/HT29-MTX-E12 combined with macrophage-like THP-1 cells or primary human-derived macrophages.
The large intestine is approximately 1.5 m long and its primary functions include desiccation, compaction of waste and storage in the sigmoid colon and rectum (Figure 3A). The colon is inhabited by a multitude of different bacteria, which produce vitamins (vitamin K and B), other metabolic by-products [e.g., short-chain fatty acids (SCFAs)] and help in regulating other important organic systems (e.g., gut-brain axis).
The most common disorders in the colon are different types of inflammations (“colitis”), ischaemic changes, distur
What is more, the role of the microbiota has gained in importance even in oncological therapy[81-83]. Emerging evi
Following this chapter, which was dedicated to the structural properties of the GI tract and their malignancies, we now explore the inhabitants, their impact on the physiology, individual cells and their translational value in modelling.
The GI tract gives home to a microbiome, composed of a collection of bacteria, fungi, viruses and archaea. These produce a diverse ecosystem of about 1014 microorganisms[1]. The term dysbiosis presents a change in the composition of the gut microbiota[1,85-87]. Over the last decade, knowledge about the relationship between dysbiosis and the pathogenesis of various diseases (especially cardiovascular disease) has rapidly accumulated[88-90]. It comes as no surprise that some of these potential diseases include cardiovascular disease, chronic kidney disease, type 2 diabetes mellitus, non-alcoholic fatty liver disease, and even certain types of cancer[85,91-94] (Figure 4). On the pathophysiological level it has been pro
A reduced expression of tight junction proteins (e.g., zonula occludens-1, claudin-1 and occluding) and an imbalance between epithelial cell death and regeneration can lead to a leaky-gut[85,95,96]. What follows is the translocation of bacteria, which stimulate, via the recognition of their pathogen associated molecular patterns, an immune response and general inflammatory reaction [secretion of pro-inflammatory cytokines (like IL-18, IL-1, IL-6, and TNF-α)]. This affects the whole organism (e.g., damaging the integrity of the blood brain barrier).
Gut dysbiosis increases systemic inflammation (via LPS, IL-6, TNF-α), contributing to endothelial dysfunction, hyper
Microbial metabolites (e.g., SCFAs, tryptophan metabolites) and neuroactive compounds (e.g., gamma-aminobutyric acid, serotonin, dopamine) modulate brain function and behavior. Dysbiosis can also lead to an altered synthesis of neu
The portal vein transports gut-derived bacterial metabolites and endotoxins directly to the liver. Dysbiosis and leaky gut lead to endotoxemia and hepatic inflammation via activation of Kupffer cells, which in turn release pro-inflammatory mediators, such as TNF-α, ILs (IL-1 and IL-10), lysosomal enzymes (protease and phosphatase)[100,101]. It has been shown that there are distinctive gut-liver axis disruption patterns in the prevalent chronic liver diseases, adrenoleukodystrophy and metabolic dysfunction-associated steatotic liver disease[102].
Gut microbiota shape systemic and pulmonary immunity through SCFAs and Treg induction. Gut dysbiosis increases pro-inflammatory cytokines and compromises lung mucosal immunity[103].
Microbiota regulate systemic and cutaneous inflammation, influence Treg/Th17 balance, and affect skin barrier integrity. SCFAs and tryptophan-derived metabolites promote anti-inflammatory pathways. Dysbiosis leads to skin flares via immune dysregulation and altered lipid metabolism. This has been linked to diseases such as psoriasis, atopic der
As an illustration, it has been shown that there is a potential fourfold increase in obesity risk within 15 years of emigrating to the United States, compared to populations remaining in their birth country. This fact is accompanied with a decrease in their gut microbial diversity and function[86,105].
Furthermore, environmental factors (e.g. diet, household cohabitation) greatly outweigh heritable genetic contributions to the composition and function of gut microbiota[106]. Rothschild et al[107] showed with their microbiome-association index, mimicking heritability statistics, that most significant associations were between the gut microbiome and host phenotypes for body mass index, waist-to-hip ratio, fasting glucose levels, glycemic status, high-density lipoprotein cholesterol levels, and monthly lactose consumption[106,107].
Antibiotic use for microbiota manipulation remains debatable due to potential side-effects (Figure 5). It represents an aggressive approach with drawbacks such as reduced bacterial diversity, altered gene expression, and selection for resistant bacteria[108,109], earning antibiotics the label of “deep modulators” of gut microbiota[109,110]. Studies link antibiotics to various outcomes, including effects on obesity, insulin resistance, diabetes, and myocardial infarction[111-113]. Faecal microbiota transplantation has already therapeutically confirmed the importance of a healthy gut microbiota in certain patients. This form of treatment is several decades old and still presents an important intervention[114].
Regarding the potential for modelling some of the gut axes, significant advances have been made. Trapecar et al[115] utilized interconnected human microphysiological systems of the gut, liver, and circulating Treg and Th17 cells to model UC ex vivo. The research revealed that microbiome-derived SCFAs can either alleviate or exacerbate UC severity, depending on the involvement of effector CD4 T cells. Their findings highlight the complex role of SCFAs in modulating inflammation within the gut-liver axis[115].
Also, in another study Trapecar et al[116] developed a human multi-organ OoC microphysiological system integrating the gut, liver, and brain to investigate how microbial metabolites influence neurodegenerative diseases. The study demonstrated that microbial metabolites, particularly SCFAs, can modulate neuroinflammation and neuronal health. The platform provides insights into the gut-liver-brain axis and its role in the pathogenesis of neurodegenerative conditions, offering a novel approach to study complex inter-organ interactions.
Furthermore, Zhang et al[117] presented a protocol for co-culturing primary human colon epithelial cells with human gut bacteria under controlled oxygen conditions, including anaerobic environments. The method enables studying host-microbe interactions in a physiologically relevant setting, facilitating research into how gut bacteria influence colon health and disease. Finally, Zhang et al[118] developed in 2024 an immune-competent human gut microphysiological system to examine the anti-inflammatory effects of the commensal bacterium Faecalibacterium prausnitzii. The findings indicate that Faecalibacterium prausnitzii can modulate inflammation within the human gut environment, highlighting its potential therapeutic role in treating IBD[118].
Collectively, these studies utilize advanced human microphysiological systems to explore complex interactions between the gut microbiota, host tissues, and the immune system, providing valuable insights into inflammatory and neurodegenerative diseases and show the great potential of these methods. These studies directly link us to our next section on the specifics of cell culturing.
Key elements of the intestinal microenvironment are the biochemical interactions, the cells, which constitute the 3D architecture, flow dynamics and motility. Traditionally used two-dimensional (2D) immortalised (tumour) CLs survive long-term but are not genetically stable nor represent any human in particular. In contrast, primary cultures are patient-unique, but short-lived. Some other approaches, which have shown promise, include organoids[119-122] (spheroids and tumoroids)[123], multi-well systems[119,124], as well as microphysiological OoC models[125]. Their hierarchy, regarding complexity and usage applicability, can be seen in Figure 6. 3D organoid cultures resemble the crypt-villus domain and contain all cell lineages, are long-lived and genetically stable. Unfortunately, manipulation of the 3D organoid system is more challenging[126-128]. The applications of these models are manifold (e.g., functional test with drug and toxicity testing, tissue engineering and simulation of absorption, metabolism etc.)[2]. A comparison of the individual methods in relation to modelling human disease can be seen in Figure 7.
Many in-vitro intestinal models exist in the form of simple 2D systems, which rely on culturing an intestinal epithelial cell monolayer (e.g., Caco-2 cells) or co-cultured mixtures of intestinal cells on static micro-porous Transwell supports[129-131]. For modelling different disease states, immune cells and microbes can be added to the apical and basolateral side of the culture well, respectively[132].
However, to date, 2D in-vitro models have not readily provided an intestinal model that accurately recapitulates the architecture, segment specificity, paracrine and autocrine molecular signalling of healthy tissue. Additionally, various drug transporters are either mis-localized or have inaccurate expression in transformed cells when compared to the human intestine[133].
The biggest drawback, however, is the lack of cellular diversity in a single cell type system. Normal intestinal epithe
Overall, despite the drawbacks of 2D culturing, this method has significantly impacted our understanding of spatially organized structures, with cell identities resembling those found in tissues in vivo[135].
Caco-2 was developed in the 1970’s[136]. It has been widely studied in various domains (e.g., pharmacological, nutri
The HT-29 CL was isolated from a 44-year-old Caucasian female with colorectal adenocarcinoma in the 1970s’ by Fogh and Trempe[142]. The CL has a doubling time from 24 hours to 60 hours, is MSS and has 69 derived CLs[143]. It was initially used for cancer biology research but later transitioned to other studies due to its versatile phenotype. HT-29 cells can be cultured in an undifferentiated state or differentiated to form a polarized membrane, providing flexibility for various research objectives. It has been shown that these cells produce cytokines, including ILs and TNF-α, making them valuable for nutrition and host-microbiome interaction investigations[144,145]. Using a Transwell system with apical and basolateral polarity, HT-29 cells are suitable for studying bacterial adhesion and transport. What sets them apart from Caco-2 is the presence of mucus-producing goblet cells, making them particularly useful for immune function and bacterial-host interaction studies[146,147]. According to literature, mucins expressed in this CL include both secretory (MUC2, MUC5AC) as well as membrane bound (MUC1, MUC3, MUC4) types[148].
The T84 CL was established from a xenograft produced by subcutaneous injection of tumour cells into BALB/c nude mice[149]. The tumour cells were derived from a lung metastasis of a colorectal adenocarcinoma in a 72-year-old Cauca
The HuTu 80 CL was isolated from a 53-year-old male of allegedly, Caucasian ethnicity, but exome analysis finds it to be mostly of African lineage, with a duodenal adenocarcinoma. It has a doubling time of approximately 26 hours, is MSS and has one subline. The literature on its origin is conflicting, since it is listed as colon or small intestine[138,150]. Th CL was included in multiple studies trying to understand the molecular landscape of intestinal cancers[150] and the land
Some non-neoplastic CLs that are worth mentioning are JFCF-6 (derived from the small intestine, jejunum; also called jejunal fibroblast cystic fibrosis-6; 14 derived CLs), H-4 (enterocytes from a fetal small intestine; spontaneously immorta
An intestinal organ culture was first described in 1969[154]. This method utilized biopsy tissue and a traditional culture-dish system but was limited in the amount of time tissue could be cultured[140]. In 2009, a significant breakthrough occurred with the development of intestinal organoids[155]. Furthermore, in 2014 a reproducible method to direct the differentiation of LGR5 + stem cells to become a specific cell type was published (e.g., enterocytes, goblet cells, stem cells, enteroendocrine cells)[156]. GI organoids can be derived from various portions of the GI tract, including the oesophagus[157], stomach[23], pancreas[158], small intestine[159,160], and colon[161,162].
3D organotypic cultures, derived from primary tissue, embryonic stem cells, or iPSCs[163], exhibit self-renewal, self-organization, and mimic the functionality of the original tissue[164]. They hold great promise for various applications, from basic research to translational uses like disease modelling, drug testing, and host-microbe interactions[165]. Moreover, induced Human Intestinal Organoids can be created from iPSCs. Organoids are mostly grown in 3D, however, they can also be seeded and grown as monolayers that allow easier access to the apical side and studies towards the intestinal barrier function[166].
Noel et al[167] used a macrophage-enteroid co-culture model to investigate mucosal gut physiology. They found out that macrophages enhanced barrier function and maturity of enteroid monolayers by measuring an increased transe
To confront the above-mentioned limitations of traditional 2D and 3D in-vitro models, biomimetic systems (OoC or microfluidic devices), which are based on recent advances in microfabrication, microchip technology, microfluidics, and tissue engineering approaches, have emerged.
It is well established that the 3D physical environment plays an important role in the morphology development, biochemistry, and metabolism of cells[174,175] and has been shown specifically for the small intestine as well[176,177]. Existing microfluidic platforms are focusing on introducing physical cues such as fluid sheer stress, flow rate and direction, shear stress and chemical gradients that are important at both the tissue and organ level[178]. Often, well-characterized intestinal transformed CLs are used to examine changes in cellular microenvironment, polarization, spatial organization, and/or differentiation of the cultures better correlate with those found in vivo.
There are examples of 3D models of the intestine: IPSC-derived intestinal organoid cultures[177,179,180] and ex vivo intestinal enteroid cultures derived from either a single LGR5 + stem cell/Paneth cell unit or multi-cell human intestinal crypts[155] obtained from human intestinal tissue. The iPSC-derived cultures have a more immature, fetal tissue phenotype making them valuable to study developmental biology. These ex vivo organoids self-organize into a 3D “mini-intestine” and contain all intestinal epithelial cell types that are found in vivo, and can be expanded for years without genetic instabilities[155]. Epithelial culture systems in the form of organoids and enteroids recapitulate the central features of normal intestinal epithelial architecture and function including cell polarization, the presence of the brush border with microvilli and appropriate physiologic responsiveness in-vitro. They are often cultured in Matrigel because it resembles the extracellular matrix composition of the native basement membrane. The extracellular matrix has a crucial role for epithelial cells as it helps them to maintain their apical to basal cell polarity when cultured both in Matrigel or on Transwell inserts[162]. As mentioned, organoids produce higher levels of intestinal differentiation; however, the cells in organoids do not experience physiological peristalsis-like motions and cannot be cultured with a living microbiome under such static conditions because bacterial overgrowth will result in death of the epithelium[181]. This is a critical limitation because mechanical deformations resulting from peristalsis influence both normal epithelial cell differentiation[182] and restrain microbial overgrowth in vivo and in-vitro[183].
Creating effective OoC models poses the challenge of reproducing physiologically relevant biology akin to complex in vivo tissues. OoC is a device where biology is coupled with microtechnology. The chip takes the form of a microfluidic device containing networks of hair-fine microchannels for guiding and manipulating minute volumes (picolitres up to millilitres) of solution[125]. The so-called organs present miniaturized tissues in microfluidic chips, which can replicate specific tissue functions, proving to be simplified yet effective models for human physiology and disease. As of the hierarchy of cultures, 2D cell cultures are regarding the simulation of complex physiological processes the least relevant, followed by 3D cell cultures, organoids, and OoCs in increasing order.
The typical workflow of such a system is as follows. Intestinal epithelial cells are introduced into the device and allowed to adhere briefly[153]. Subsequently, a media solution is pumped through channels, either using syringes or peristaltic pumps to establish fluid flow[184-186]. Alternatively, gravity can drive flow in platforms like multi-well plates, which require incubation on a rocking platform[187,188]. This flow induces the spontaneous differentiation of intestinal cells, leading to the formation of 3D villi-like structures[189]. These villi structures are covered with brush borders and mucus, connected by tight junctions, closely mimicking the structure and function of human intestinal villi. In some gut-on-chip models, peristaltic motions can be generated by applying a vacuum to hollow side chambers[184,190]. Addi
Interestingly, when exposing Caco-2 cells embedded in a gut-on-a-chip microfluidic device to cyclic mechanical distor
These systems often use transformed CLs raising concerns as to whether the findings have biological relevance. The co-development of microfluidic devices with integrated stem cell-derived organoids and enteroids will increase the com
In 2017 Alimperti et al[205] developed a biomimetic vascular model on a chip, creating a perfusable channel with an endothelial lining in a collagen matrix to evaluate mural cell-endothelial cell regulated barrier function and the impact of inflammatory factors, N-cadherin expression etc. They were able to provide a model for drug testing and diseases.
Zhang et al[206], 2016 developed a biodegradable scaffold with build in vasculature for OoC research and surgical anastomosis. Vascular networks can be built from natural hydrogels, which are, however, soft and only provide tempo
OoC devices can also include microbes and mimic the gut microbiome, as shown is chapter 3, Trapecar et al[115,116], Zhang et al[117,118] and host interactions[207,208]. Some examples are a co-culture of Caco-2 cells with Lactobacillus rhamnosus[184], enterohemorrhagic Escherichia coli[209], or obligate anaerobes[210]. What is more, when looking at disease models, there are a number of articles on studying IBD[211-214], virus pathogenesis and infections[215-217], metabolic diseases[218] etc., Yoon et al[213] cultured IBD patient cells to validate the synergistic actions of peptides and hydrogels used to treat IBD, Khan et al[214] propose synthetic- and engineered community-based microbiota transplants as a potential therapy approach.
However, as depicted in Figure 7, some of the major challenges in the development and application of advanced in-vitro models, such as organoids and OoC platforms, compared to simpler in-vitro culture methods include scaling up pro
To address the number, or rather the lack of, CLs. A very useful resource in the field of CL research is the Cellosaurus database[143]. The authors have, to gain an overview of the topic at hand, looked through the database by searching for “small intestine”. In November 2023 there were 124 hits for this search term. Now, in January 2025 there are 135 hits. From the old record 2 CL were removed (HT-29 since it is a colon adenocarcinoma; and CVCL A5HM since it is also of colonic origin) and 13 new ones were included (6 of human origin from the same patient-iPSCs; the remaining 7 were of animal origin). These consist of 63 human (46.7% of 135) and 7 animal CLs (53.3% of 135). From these 63 human CLs: 3 CLs are Hutu-80 derivatives, one CL (JFCF-6) is the parent of 14 CLs, 1 CL has been discontinued, 3 CLs are reported to be contaminated, 4 CLs possibly misidentified. Furthermore, from these 63 CLs, 17 CLs are either metastases or do not belong in the category “small intestine”. By excluding metastases, derived/children CLs, induced pluripotent CLs this leaves us with merely 18 CLs of which 6 are benign and 12 malignant. As a comparison, a Cellosaurus search for “Triple-negative breast cancer CL” on 20 September 2021 resulted in 144 entries[220]. On November 2023 the search yielded 163 hits with only 2 being of animal origin (November 2023) and now (January 2025) the search yields 204 hits with only 4 being of animal origin. This shows that the number and variety of available CLs in this field is profoundly lacking. Regarding the fabrication methods, it is highly desirable these can use a broad spectrum of available materials that facilitate fast printing of several mm large structures while keeping sub-micron resolution to create nano-patterns and localised mechanical improvements. Joining different bioprinting techniques, such as micro-extrusion and laser-assisted lithography for simultaneous use, could be a major stepping stone in this direction and enabling the fabrication of complex tissue models such as a vascularised interstitium underlying a parenchymal epithelium. The ultimate goal of these techniques will therefore be the construction of advanced tissue models for simulations of molecular transport and other physiological phenomena occurring on epithelia lined on vascularised connective tissues, focusing on the gut. To successfully fabricate tissues of such complexity, micro-extrusion bioprinting for constructing several mm large scaffolds will be combined with laser-assisted bioprinting for local nano-patterning and structural modification. This will allow the fabrication of a branched microfluidic system in a biopolymeric matrix (vascularised connective tissue), which will induce polarisation on an attached epithelial layer of enterocytes. The intestinal epithelium boasts a wide range of gradients, offering significant potential when combining primary intestinal culture systems with chemical and matrix gradients. These gradients can be integrated into surfaces, solutions, scaffolds, or generated through co-cultured cells, including bacteria or stroma. In addition to the 3D environment, it is important to consider several other critical features when developing a complex physiologically relevant in-vitro model. The epithelium must be supported by matrices that mimic the lamina propria and the muscular layers that form a concentric tube along with the epithelium. Further, it has to contain a heterogeneous population of cells that is spatially organized to mimic the crypt-villus axis. The luminal unidirectional shear stress on epithelium’s apical and blood flow on the basolateral surface has to be simulated. The intestine also periodically squeezes by the muscular layers (peristalsis). More complex models need to consider the unique coupling of the intestine to the liver. Specifically, there is basolateral outflow from the intestinal epithelium to the liver through the portal system, whereas liver products are secreted into the lumen of the duodenum acting on the apical side of the epithelium. Some key challenges and dilemmas that remain are ethical considerations surrounding the sourcing and further use of these models. Namely, older informed consents do not sufficiently address many of the issues that include chimeric research, gene-editing technologies etc.[221]. Furthermore, there is the urgent need for improved standardization and rigorous validation of in-vitro models to ensure reproducibility and reliability[221-223]. Establishing standardized protocols for organoid culture, differentiation, and functional assessment will facilitate broader adoption and regulatory acceptance. Moreover, the integration of more sophisticated co-culture systems that incorporate immune cells, enteric neurons, and other relevant cell types is crucial to better recapitulate tissue complexity and physiological interactions[224]. Such multi-cellular models can provide deeper insights into tissue homeostasis, inflammation, and disease pathogenesis. A next-generation approach would integrate OoC platforms with embedded biosensors, such as impedance spectroscopy or metabolite-sensitive fluorescent probes, to enable real-time monitoring of both microbial metabolite dynamics and epithelial barrier function. This type of dynamic model could offer valuable insights into the bidirectional communication between host tissues and the microbiome. For example, it could reveal how SCFAs influence tight junction regulation and, conversely, how epithelial responses shape microbial composition. In parallel, advance
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