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Apredica: Early ADME Tox / ADMET Contract Research

Caco-2 Permeability Assay

Apredica provides fast Caco-2 assay turnaround. Because of the large volume of Caco-2 assays we perform, we continuously produce 21-day Caco-2 cell cultures in anticipation of client needs to ensure rapid turnaround. The following Caco-2 assays are available:

  • Monodirectional: High permeability predicts good human oral bioavailablity.
  • Bidirectional: High efflux ratio indicates possible P-gp or other transporter efflux.
  • Bi-directional (P-gp substrate determination): Test agent is incubated on either side of the monolayer in the presence and absence of a known P-gp inhibitor.
  • Bi-directional (P-gp inhibitor determination): Test agent is incubated on either side of the monolayer in the presence and absence of a known P-gp substrate.
  • Bi-directional (Other transporters): Please inquire regarding the testing of your test agents to be substrates or inhibitors of other efflux transporters (e.g. BCRP, MRP1, MRP2, etc.). You may also request the poster we presented at the 16th North American Regional ISSX Meeting where we fully characterized activity of transporters in CaCo-2 cells.

Contact us to learn more about our Caco-2 assay service.

Caco-2 Customization

Customized variants of the Caco-2 assay are available to address special issues, such as:

  • Evaluating the contribution of formulation on uptake.
  • Permeability assessment when the test compound is toxic to the endothelium.
  • Permeability assessment when solubility issues require that the assay simulate gut fluid conditions.

Please inquire about how the Caco-2 assay can be customized to your special situation.

Other Permeability Models

Other in vitro permeability models available:

Caco-2 Assay Purpose and Place

Caco-2 cells are used to understand two issues related to drug uptake:

  • Permeability: Crucial for evaluating the potential for oral dosing of drug candidates. Recommended as a screen during lead optimization.
  • Efflux: Identifies whether the compound is a substrate of active transport mechanisms. This is often part of the in vitro drug-drug interactions package for IND-enabling studies.

Principle of the Caco-2 Assay

Caco-2 human colon adenocarcinoma cells are grown to confluence and differentiated for 3 weeks on filters. Test agent is added to one side of the monolayer, and permeability is assessed by analyzing the concentration of the test agent on the other side of the monolayer using LC/MS/MS.

Background and Validation of the Caco-2 Model

Originally isolated from a colorectal carcinoma in the 1970s,1 Caco-2 cell monolayers spontaneously differentiate to express morphological and functional characteristics of mature small-intestinal enterocytes. The differentiated monolayers are polarized, with microvilli on the apical side, and express small intestinal hydrolase activities, including sucrase-isomaltase, lactase, aminopeptidases, on the apical surface.2, 3 Caco-2 cells grown on permeable filter supports form tight junctions and express transporters on the apical (e.g. P-gp4, 5, MRP-25, BCRP6) and basolateral (e.g. MRP-15, PepT17, 8) surfaces, and drugs that are predicted to be bioavailable are not transported across the intestinal mucosa due to the activity of efflux transporters.9, 10 Permeability across Caco-2 cell monolayers is used to predict human permeability of drug candidates, to perform in-depth mechanistic and absorption studies, to study the effects of transporters on permeability, and transporter-mediated drug-drug interactions. The Caco-2 permeability assay is considered to be the industry gold standard for in vitro prediction of in vivo human intestinal permeability and bioavailability of orally administered drugs.11 Fig. 1 represents a validation study conducted at Apredica on a subset of marketed drugs with fraction absorbed, reported in the literature. The FDA recommends that drug-drug interactions should be performed during drug development.12

In vitro studies with Caco-2 cell monolayers have proven to be a valuable tool for predicting human in vivo intestinal permeability.13

Figure 1. Correlation of apparent permeability as measured at Apredica in the Caco-2 permeability assay with reported human fraction absorbed (literature).
Figure 1. Correlation of apparent permeability as measured at Apredica in the Caco-2 permeability assay with reported human fraction absorbed (literature).
Figure 2. Diagram of the Caco-2 permeability assay.
Figure 2. Scheme of the Caco-2 permeability assay.

Permeability across differentiated monolayers of Caco-2 is measured on fully differentiated cells grown for 3 weeks on permeable filter supports to estimate human intestinal permeability. The integrity of the monolayer is determined by measurement of TEER or by Lucifer Yellow permeability. In a typical experiment, the test agent is applied to the apical (A; "gut" side) or basolateral (B; "blood") side of the monolayer and incubated for 2 h (Figure 2). The amount of test agent on each side is measured by HPLC or LC/MS/MS. Permeability (Papp) is calculated in the apical to basolateral (A → B) and basolateral to apical (B → A) directions:

Caco-2 assay formula

where dQ/dt is the rate of permeation, C0 is the initial concentration of test agent, and A is the area of the monolayer.

Passively transported compounds show equal permeability in both directions. The role of transporters is demonstrated by asymmetry in the amount of permeability. A high B → A vs. A → B ratio indicates the possibility that the compound is an efflux transporter substrate. The transporter can be identified by performing the permeability assay in the presence of a specific inhibitor on both sides of the monolayer.

Follow-Ons to Caco-2 Studies

In Vivo Pharmacokinetics: The compound is administered to rodents, and plasma samples are analyzed at different times to determine the concentration of test agent.

Customization (changes in concentration, time points, etc) is easily possible. Contact us to learn more about how Caco-2 studies can be used in your programs.





References

1. Fogh J. et al. 1977. One hundred and twenty seven cultured human tumor cell lines producing tumors in nude mice. J Natl Cancer Inst 59:221-6.

2. Pinto M et al. 1983. Enterocyte-like differentiation and polarization of the human colon carcinoma cell line Caco-2 in culture. Biol Cell 47:323-30.

3. Hidalgo IT et al. 1989. Characterization of the human colon carcinoma cell line (Caco-2) as a model system for intestinal epithelial permeability. Gastroenterology 96:736-49.

4. Takano M et al. 1998. Interaction with P-glycoprotein and transport of erythromycin, midazolam and ketoconazole in Caco-2 cells. Eur J Pharmacol 358:289-94.

5. Taipalensuu J et al. 2001. Correlation of gene expression of ten drug efflux proteins of the ATP-binding cassette transporter family in normal human jejunum and in human intestinal epithelial Caco-2 cell monolayers. J Pharmacol Exp Ther 299:164-170.

6. Xia CQ et al. 2005 Expression, localization, and functional characteristics of breast cancer resistance protein in Caco-2 cells. Drug Metab Dispos 33:637-43.

7. Brandsch M.1994. Expression and protein kinase C-dependent regulation of peptide/H+ co-transport system in the Caco-2 human colon carcinoma cell line. Biochem J 299:253-60.

8. Thwaites DT. 1993. Transepithelial glycylsarcosine transport in intestinal Caco-2 cells mediated by expression of H+-coupled carriers at both apical and basal membranes. J Biol Chem 268:7640-42.

9. Balimane PV et al. 2006. Current industrial practices of assessing permeability and P-glycoprotein interaction. The AAPS Journal 8: Article 1.

10. Braun A et al. 2000. Cell cultures as tools in biopharmacy. 2000. Eur J Pharm Sci 11:S51-S60.

11. Hubatsch I et al. Determination of drug permeability and prediction of drug absorption in Caco-2 monolayers. 2007. Nat Protoc 2:2111-9.

12. FDA Guidance for Industry. Drug interaction studies - study design, data analysis, and implications for cosing and labeling. September, 2006

13. Balimane, PV. 2006. AAPS J. 8:1; Wessel, MD. 1998. Prediction of Human Intestinal Absorption of Drug Compounds from Molecular Structure. J Chem Inf Comput Sci 38:726