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The intestinal epithelial barrier, a one-cell-thick internal lining containing different types of epithelial cells, constitutes the first physical defensive barrier or interface between the outside and the internal milieu of the body1,2. Columnar-type enterocytes constitute the most abundant type of epithelial cells. These are responsible for maintaining epithelial barrier integrity through interactions between several barrier components, including tight junctions (TJs), playing a significant role in barrier tightening1,3. The TJ structure consists of intracellular plaque proteins, such as zonula occludens (ZO) and cingulin, cooperating with transmembrane proteins, including occludins, claudins, and junctional adhesion molecules (JAMs) that form zipper-like structure tightly linking the neighboring cells3,4. The transmembrane proteins regulate the passive paracellular diffusion of small compounds and exclude toxic large molecules.
Potentially toxic food compounds and food contaminants stimulate inflammatory cytokine production that disrupts the epithelial permeability, activating immune cells and causing chronic intestinal tissue inflammation5,6,7. In contrast, various anti-oxidant and anti-inflammatory phytochemicals have been reported to reduce inflammatory cytokine expression and enhance intestinal TJ barrier integrity through the restoration of TJ protein expression and assembly4,6,8. Hence, the regulation of epithelial barrier integrity by both beneficial and harmful compounds has seen an increase in the use of both in vivo and in vitro models aimed at mimicking the intestinal barrier for pharmaceutical screening and toxicity studies. This is particularly relevant given the increasing interest in understanding the pathophysiology of intestinal bowel diseases (IBD), necrotizing enterocolitis, and cancer, which can be simulated in experimental models8,9,10.
There has been a demand for the development of cell-based in vitro models in order to achieve the objective of the “3Rs” in animal testing. These include replacement alternatives to the use of animals, reduction in the number of animals used, and refinement in adopting methods that alleviate distress11,12,13. Moreover, the underlying molecular, cellular, and physiological mechanisms between human and murine models (rodents being the most widely used species) are distinctive, leading to controversy regarding the efficacy of the murine models as predictors in human responses12,13. Numerous advantages of in vitro human cell-line models include target-restricted experimentation, direct observation, and continuous analysis13.
Single-cell-type monolayers in two-dimensional (2D) cultures have served as powerful models. However, these cannot precisely reproduce the physiological complexity of human tissues8,13,14. As a result, 3D culture systems are being developed with ever-increasing improvements to recapitulate the physiological complexity of both healthy and diseased intestinal tissues as next-generation risk assessment toolboxes13,14. These models include 3D Transwell scaffolds with diverse cell lines, organoid cultures, and microfluidic devices (intestine-on-chip) using both cell lines and organoids (derived from both healthy and diseased tissues)8,13,14.
The 3D “healthy tissue” intestinal equivalent protocol presented in the present study was based on striking a balance between physiological complexity and experimental simplicity13. The model is representative of a 3D Transwell scaffold, comprised of three cell lines (enterocytes [the gold-standard colon adenocarcinoma Caco-2 line] with a supporting immune component [U937 monocytes and L929 fibroblasts]), constituting a standardized and easily repeatable system applicable for the preliminary screening of dietary molecules of interest on intestinal epithelial barrier integrity and immune response. The protocol includes paraffin embedding for light microscopic evaluation of epithelial barrier integrity using fixed intestinal equivalents. The advantage of the present approach is that numerous sections of the embedded tissues can be made to stain for multiple parameters from a single experiment.