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Related Experiment Video

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A biologically validated mathematical model for decoding epithelial apical, basolateral, and paracellular electrical

Colby F Lewallen1, Athena Chien2, Arvydas Maminishkis3

  • 1Ocular and Stem Cell Translational Research Section, Ophthalmic Genetics and Visual Function Branch, National Eye Institute, Bethesda, Maryland, United States.

American Journal of Physiology. Cell Physiology
|October 30, 2023
PubMed
Summary

This study introduces a new mathematical model and measurement technique called 3 P-EIS to better understand how epithelial tissues transport ions and nutrients. Current methods can measure overall tissue resistance but cannot distinguish between specific pathways like apical, basolateral, and paracellular transport. The new model combines intracellular pipette recordings with electrochemical impedance spectroscopy to isolate these pathways. The researchers tested the model using electronic circuits and patient-derived retinal tissues, confirming its accuracy. The model successfully detected cellular responses to ATP and showed a median error of 19%. This advancement improves the ability to study epithelial transport in diseases like celiac and macular degeneration. The model has potential applications in drug testing and cell therapies, offering a more detailed view of epithelial function.

Keywords:
electrophysiologyepithelial tissuesepithelial transport dynamicsmathematical modelretinal pigment epitheliumelectrophysiology modelingepithelial cell researchregenerative medicine techniquesbiomedical engineering methods

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Area of Science:

  • Epithelial physiology research in biomedical engineering
  • Electrophysiology modeling in regenerative medicine

Background:

Understanding epithelial transport pathways remains a challenge in biomedical research. Standard electrophysiology methods can assess overall tissue resistance but cannot distinguish between apical, basolateral, and paracellular pathways. This limitation hinders progress in disease modeling and cell therapy development. Prior studies have shown that epithelial dysfunction is linked to various conditions, including celiac disease and macular degeneration. However, no prior work had resolved how to isolate specific transport mechanisms in epithelia. Existing models lack the precision needed to differentiate between membrane-specific properties. This gap motivated the need for a new measurement approach. Researchers have already established that epithelial tissues act as selective barriers, but the mechanisms remain unclear. This paper addresses the need for a more detailed characterization of epithelial electrical properties.

Purpose Of The Study:

The study aimed to develop a novel mathematical model and measurement technique to distinguish between apical, basolateral, and paracellular transport pathways in epithelia. The motivation arose from the limitations of conventional electrophysiology methods in capturing detailed transport dynamics. The researchers sought to integrate mathematical modeling with cell physiology to improve measurement accuracy. They focused on creating a technique that could quantify membrane-specific properties in epithelial tissues. The goal was to enhance the ability to study epithelial transport in disease and therapy contexts. The approach needed to be validated using known electronic circuit models. The study also aimed to demonstrate the model’s applicability in stem cell-derived tissues. This work sought to advance epithelial physiology by enabling precise quantification of transport mechanisms.

Main Methods:

The researchers developed 3 P-EIS, a novel mathematical model and measurement technique. The method combines intracellular pipette recordings with extracellular electrochemical impedance spectroscopy. This approach allows for measuring membrane-specific properties without prior model constraints. The model was validated using electronic circuit models with known resistances and capacitances. The validation process included five trials to assess accuracy and precision. The researchers tested the model’s ability to differentiate between paracellular and transcellular pathways. They also applied the technique to patient-derived retinal pigment epithelium tissues. The study confirmed the model’s effectiveness in isolating cellular responses to ATP.

Main Results:

3 P-EIS achieved a median error of 19% for paracellular and transcellular resistances and capacitances. The interquartile range for the error was 14% to 26%, indicating reasonable accuracy. The model successfully isolated cellular responses to adenosine triphosphate in retinal tissues. The validation using electronic circuits confirmed the model’s reliability. The technique enabled precise quantification of impedance changes between apical and basolateral membranes. The model’s accuracy was tested across five trials, showing consistent performance. The results demonstrated that 3 P-EIS can distinguish between transport pathways in epithelia. The method’s success in stem cell-derived tissues supports its use in disease modeling and drug testing.

Conclusions:

The authors propose that 3 P-EIS represents a significant advancement in epithelial physiology research. The model’s ability to differentiate between transport pathways was confirmed through circuit validation and tissue testing. This technique enhances the precision of epithelial transport studies in disease and therapy contexts. The researchers suggest that 3 P-EIS improves quality control in epithelial cell therapies. They also highlight the model’s applicability in drug testing and disease modeling. The integration of intracellular recordings with impedance spectroscopy is a novel contribution. The study’s findings support the use of 3 P-EIS in advancing epithelial transport research. The authors emphasize the interdisciplinary nature of the approach as a key strength.

The model successfully differentiates between apical, basolateral, and paracellular transport pathways in epithelia with a median error of 19%.

The model was validated using electronic circuit models with known resistances and capacitances, confirming its accuracy in measuring epithelial transport pathways.

Intracellular pipette recordings allow precise quantification of impedance changes between apical and basolateral membranes, which is necessary for pathway differentiation.

The model successfully isolated cellular responses to adenosine triphosphate in retinal pigment epithelium tissues, demonstrating its sensitivity to physiological changes.

The interquartile range for the model's error was 14% to 26%, indicating consistent performance across trials.

The authors propose that 3 P-EIS enhances epithelial transport studies and supports applications in disease modeling and cell therapies.