Structural dynamics of tight junctions modulate the properties of the epithelial barrier

PLoS One. 2019 Apr 9;14(4):e0214876. doi: 10.1371/journal.pone.0214876. eCollection 2019.

Abstract

Tight junctions are dynamic structures that are crucial in establishing the diffusion and electrical barrier of epithelial monolayers. Dysfunctions in the tight junctions can impede this barrier function and lead to many pathological conditions. Unfortunately, detailed understanding of the non-specific permeation pathway through the tight junctions, the so-called leak pathway, is lacking. We created computational models of the leak pathway to describe the two main barrier measures, molecular permeability and transepithelial electric resistance while using common structural dynamics. Our results showed that the proposed alternatives for the leak pathway, the bicellular strand opening dynamics and the tricellular pores, contribute together with distinct degrees, depending on the epithelium. The models can also capture changes in the tight junction barrier caused by changes in tight junction protein composition. In addition, we observed that the molecular permeability was markedly more sensitive to changes in the tight junction structure and strand dynamics compared with transepithelial electric resistance. The results highlight that our model creates a good methodological framework to integrate knowledge on the tight junction structure as well as to provide insights and tools to advance tight junction research.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Caco-2 Cells
  • Cell Line
  • Cell Line, Tumor
  • Dogs
  • Epithelial Cells / metabolism
  • Epithelial Cells / physiology*
  • Epithelium / metabolism
  • Epithelium / physiology*
  • Humans
  • Madin Darby Canine Kidney Cells
  • Membrane Proteins / metabolism
  • Permeability
  • Tight Junctions / metabolism
  • Tight Junctions / physiology*

Substances

  • Membrane Proteins

Grants and funding

The study was funded by: Rector’s Graduate School of Tampere University of Technology (AT); Academy of Finland (www.aka.fi/en) projects (grant numbers 252225 (AT, JH), 298638 (AT, JH), 287287 (SN), and 294054 (SN)), Academy of Finland postdoctoral (grant number 267471) (TOI) and research fellow funding (grant number 308315) (TOI); and the Emil Aaltonen Foundation (emilaaltonen.fi/apurahat/in-english/) (SN). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.