Chronic respiratory diseases such as asthma, chronic obstructive pulmonary disease (COPD), and cystic fibrosis are some of the major health concerns worldwide1. The prevalence of respiratory diseases caused by viruses such as human influenza A virus, respiratory syncytial virus (RSV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) also cause economic and public health burden2. Therefore, there is an immense need to develop treatment regimens for respiratory illnesses that lead to irreversible respiratory tissue damage. The respiratory epithelial tissue itself is not only involved in oxygen uptake but also provides a barrier to protect the body from invading pathogens and hazardous chemicals3. The respiratory epithelium has a complex cellular organization composed of three major cell types: ciliated cells, goblet cells, and basal cells. Recently, there has been a report on the presence of novel but rare ionocyte cells in the airway epithelium4. The complex tissue functions in a coordinated fashion to provide innate immune responses such as secretion of antimicrobial peptides, cytokines release to activate an adaptive immune response, and mucociliary clearance5. The lack of a suitable airway model is one of the obstacles to the study of respiratory infections and the development of treatments.
The air-liquid interface (ALI) model is becoming a key tool for research on respiratory diseases6. It is an effective in vitro lung airway model as the primary lung airway cells differentiate into a pseudostratified airway epithelium composed of at least three types of cells that generally reside at the apical side of the airway. First, ciliated cells cover the majority of the apical side of the airway and contribute to mucociliary clearance. Second, goblet cells produce mucus and are the largest cells that co-reside with ciliary cells at the apical side of the airway. Third, basal cells reside at the basal layer of the airway and are the progenitor cells that differentiate into different epithelial cells5,7. Although ionocytes and tuft cells are rare in the airway epithelium, they may also play a role in ciliary function and membrane permeability4. This technique differs from the traditional submerged cell culture, which does not mimic the in vivo lung environment. Since ALI is produced from primary epithelial cells derived from healthy people, patients with asthma, and COPD, it offers a more diverse platform for studying responses to infection and disease pathophysiology.
The health assessment of the ALI-developed cultures is an essential aspect to monitor, ensuring the cultured cells' viability, functionality, and physiological relevance. It enhances the confidence in the integrity, reliability, and reproducibility of ALI cultures. As previously published, our group has been evaluating the ALI culture integrity by assessing two biophysical parameters: ciliary function by quantifying ciliary beat frequency (CBF) and epithelial barrier integrity by determining transepithelial electrical resistance (TEER)6,7,8. Mucociliary clearance (MCC) is one of the important features of the airway epithelium carried by ciliated cells. Specialized organelles called cilia on the surface of ciliated cells beat in metachronal waves to clear the airways of infections and inhaled particles stuck in the mucous layer of the airway epithelium. Effective MCC is totally dependent upon proper ciliary activity9. A good CBF is indicative of a healthy, intact airway epithelium; hence, monitoring of the CBF for ALI cultures provides valuable insight into the epithelium's integrity10. Although there are multiple ways to quantify CBF, for example, high-speed video microscopy11 and phase-resolved Doppler optical coherence tomography12, each method needs technical expertise and specialized equipment. In this protocol, we provide an easier and less -technical way of quantifying CBF of the differentiated airway epithelium. We also described a method for quantifying TEER of the same epithelium, which indicates epithelial tissues' integrity and barrier function13.