scholarly journals A robust SARS-CoV-2 replication model in primary human epithelial cells at the air liquid interface to assess antiviral agents

2021 ◽  
pp. 105122
Author(s):  
Thuc Nguyen Dan Do ◽  
Kim Donckers ◽  
Laura Vangeel ◽  
Arnab K. Chatterjee ◽  
Philippe A. Gallay ◽  
...  
Keyword(s):  
Epithelial Cells ◽  
Antiviral Agents ◽  
Liquid Interface ◽  
Human Epithelial Cells ◽  
Replication Model ◽  
Air Liquid Interface

scholarly journals A robust SARS-CoV-2 replication model in primary human epithelial cells at the air liquid interface to assess antiviral agents

2021 ◽  
Author(s):  
Thuc Nguyen Dan Do ◽  
Arnab K. Chatterjee ◽  
Philippe A. Gallay ◽  
Michael D. Bobardt ◽  
Laura Vangeel ◽  
...  
Keyword(s):  
Epithelial Cells ◽  
Antiviral Agents ◽  
Airway Epithelial Cells ◽  
Liquid Interface ◽  
Airway Epithelial ◽  
Apical Side ◽  
Basolateral Side ◽  
Dependent Inhibition ◽  
Dose Dependent Inhibition ◽  
Air Liquid Interface

There are, besides Remdesivir (RDV), no approved antivirals for the treatment and/or prophylaxis of SARS-CoV-2 infections. To aid in the search for antivirals against this virus, we explored the use of human tracheal airway epithelial cells (HAEC) and human small airway epithelial cells (HsAEC) grown at the air/liquid interface (ALI) and infected at the apical side with either one of two different SARS-CoV-2 isolates. The virus was shown to replicate to high titers for extended periods of time (at least 8 days) and, in particular an isolate with the D614G in the spike (S) protein did so more efficiently at 35°C than at 37°C. The effect of a selected panel of reference drugs that were added to the culture medium at the basolateral side of the system was explored. GS-441524 (the parent nucleoside of Remdesivir), EIDD-1931 (the active metabolite of Molnupiravir) and IFN (β1 and λ1) all resulted in a dose-dependent inhibition of viral RNA and infectious virus titers at the apical side. However, AT-511 (a guanosine nucleotide previously reported to inhibit SARS-CoV-2) failed to inhibit viral replication. Together, these results provide a reference for further studies aimed at selecting SARS-CoV-2 inhibitors for further preclinical and clinical development.

scholarly journals Effect of Alpha-1 Antitrypsin on CFTR Levels in Primary Human Airway Epithelial Cells Grown at the Air-Liquid-Interface

Molecules ◽  
2021 ◽  
Vol 26 (9) ◽  
pp. 2639
Author(s):  
Frauke Stanke ◽  
Sabina Janciauskiene ◽  
Stephanie Tamm ◽  
Sabine Wrenger ◽  
Ellen Luise Raddatz ◽  
...  
Keyword(s):  
Epithelial Cells ◽  
Human Lung ◽  
Liquid Interface ◽  
Lung Epithelial Cells ◽  
Western Blots ◽  
Mesenchymal Transition ◽  
Protein Levels ◽  
Lung Epithelial ◽  
Cftr Protein ◽  
Air Liquid Interface

The cystic fibrosis transmembrane conductance regulator (CFTR) gene is influenced by the fundamental cellular processes like epithelial differentiation/polarization, regeneration and epithelial–mesenchymal transition. Defects in CFTR protein levels and/or function lead to decreased airway surface liquid layer facilitating microbial colonization and inflammation. The SERPINA1 gene, encoding alpha1-antitrypsin (AAT) protein, is one of the genes implicated in CF, however it remains unknown whether AAT has any influence on CFTR levels. In this study we assessed CFTR protein levels in primary human lung epithelial cells grown at the air-liquid-interface (ALI) alone or pre-incubated with AAT by Western blots and immunohistochemistry. Histological analysis of ALI inserts revealed CFTR- and AAT-positive cells but no AAT-CFTR co-localization. When 0.5 mg/mL of AAT was added to apical or basolateral compartments of pro-inflammatory activated ALI cultures, CFTR levels increased relative to activated ALIs. This finding suggests that AAT is CFTR-modulating protein, albeit its effects may depend on the concentration and the route of administration. Human lung epithelial ALI cultures provide a useful tool for studies in detail how AAT or other pharmaceuticals affect the levels and activity of CFTR.

scholarly journals Real-time measurement of cellular bioenergetics in fully differentiated human nasal epithelial cells grown at air-liquid-interface

2020 ◽  
Vol 318 (6) ◽  
pp. L1158-L1164
Author(s):  
Emily Mavin ◽  
Bernard Verdon ◽  
Sean Carrie ◽  
Vinciane Saint-Criq ◽  
Jason Powell ◽  
...  
Keyword(s):  
Epithelial Cells ◽  
Real Time ◽  
Aerobic Glycolysis ◽  
Airway Epithelial Cells ◽  
Respiratory Epithelium ◽  
Liquid Interface ◽  
Human Nasal Epithelial Cells ◽  
Respiratory Epithelial ◽  
Air Liquid Interface

Shifts in cellular metabolic phenotypes have the potential to cause disease-driving processes in respiratory disease. The respiratory epithelium is particularly susceptible to metabolic shifts in disease, but our understanding of these processes is limited by the incompatibility of the technology required to measure metabolism in real-time with the cell culture platforms used to generate differentiated respiratory epithelial cell types. Thus, to date, our understanding of respiratory epithelial metabolism has been restricted to that of basal epithelial cells in submerged culture, or via indirect end point metabolomics readouts in lung tissue. Here we present a novel methodology using the widely available Seahorse Analyzer platform to monitor real-time changes in the cellular metabolism of fully differentiated primary human airway epithelial cells grown at air-liquid interface (ALI). We show increased glycolytic, but not mitochondrial, ATP production rates in response to physiologically relevant increases in glucose availability. We also show that pharmacological inhibition of lactate dehydrogenase is able to reduce glucose-induced shifts toward aerobic glycolysis. This method is timely given the recent advances in our understanding of new respiratory epithelial subtypes that can only be observed in vitro through culture at ALI and will open new avenues to measure real-time metabolic changes in healthy and diseased respiratory epithelium, and in turn the potential for the development of novel therapeutics targeting metabolic-driven disease phenotypes.

Sign in / Sign up

Export Citation Format

Share Document