3D lung epithelial models to study host-pathogen interactions
Commonly used acronym: 3D lung models
Scope of the method
- Human health
- Basic Research
- Translational - Applied Research
- In vitro - Ex vivo
- Human derived cells / tissues / organs
- in vivo-like models
- host-pathogen interactions
- Pseudomonas aeruginosa
- host-associated biofilms
- preclinical drug development
- antibiotic activity
- cystic fibrosis
- Chronic obstructive pulmonary disease
- infectious disease
- lung disease
Three-dimensional (3D) lung epithelial cell models mimic key aspects of the parental tissue, including apical-basolateral polarity and barrier function (Barrila et al. 2010, PMID: 20948552). These 3D cultures are generated using the rotating wall vessel (RWV) bioreactor system, allowing host cells to grow and differentiate on porous ECM-coated microcarrier beads in an optimized suspension culture. Upon differentiation, cultures can be transferred into multi-well plates, to enable targeted throughput and high reproducibility. 3D lung cell cultures can be applied to study various aspects of the infectious disease process, enabling to evaluate both host and bacterial behavior during host-pathogen interactions under physiologically relevant conditions. The developed models are also useful for testing new or existing antimicrobial agents, as bacterial susceptibility to antimicrobials is different in the 3D lung models compared to conventional assays (Crabbé et al. 2017, PMID: 28256611; Rodriguez-Sevilla et al. 2018, PMID: 29648588; Grassi et al. 2019, PMID: 30800115; Crabbé et al. 2019, PMID: 31034512).
In addition to basic cell culture equipment, specialized bioreactors are needed to generate the described 3D lung cell cultures.
- Published in peer reviewed journal
Pros, cons & Future potential
- - In vivo-like characteristics
- - Targeted throughput
- - High reproducibility
- - More expensive than conventional (2D) assays
- - Expertise and equipment needed
References, associated documents and other information
Barrila J., A. Radtke, A. Crabbé, S.F. Sarker, M.M. Herbst-Kralovetz, C.M. Ott and C.A. Nickerson (2010). Organotypic 3D cell culture models: using the rotating wall vessel to study host-pathogen interactions. Nature Reviews Microbiology 8(11): 791-801.
Crabbé A., M.A. Ledesma, and C.A. Nickerson (2014). Mimicking the host and its microenvironment in vitro for studying mucosal infections by Pseudomonas aeruginosa. Pathogens and Disease 71(1): 1-19.
Crabbé A, Liu Y, Matthijs N, Rigole P, De La Fuente-Nùñez C, Davis R, Ledesma MA, Sarker S, Van Houdt R, Hancock RE, Coenye T, Nickerson CA (2017). Antimicrobial efficacy against Pseudomonas aeruginosa biofilm formation in a three-dimensional lung epithelial model and the influence of fetal bovine serum. Scientific Reports. 3;7:43321.
Rodríguez-Sevilla G, Rigauts C, Vandeplassche E, Ostyn L, Mahíllo-Fernández I, Esteban J, Peremarch CP, Coenye T, Crabbé A (2018). Influence of three-dimensional lung epithelial cells and interspecies interactions on antibiotic efficacy against Mycobacterium abscessus and Pseudomonas aeruginosa. Pathogens and Disease. 76(4).
Grassi L, Batoni G, Ostyn L, Rigole P, Van den Bossche S, Rinaldi AC, Maisetta G, Esin S, Coenye T, Crabbé A (2019). The Antimicrobial Peptide lin-SB056-1 and Its Dendrimeric Derivative Prevent Pseudomonas aeruginosa Biofilm Formation in Physiologically Relevant Models of Chronic Infections. Frontiers in Microbiology. 8;10.
Crabbé A, Ostyn L, Staelens S, Rigauts C, Risseeuw M, Dhaenens M, Daled S, Van Acker H, Deforce D, Van Calenbergh S, and Coenye T (2019). Host metabolites stimulate the bacterial proton motive force to enhance the activity of aminoglycoside antibiotics. PLOS Pathogens 15(4): e1007697.
Van Acker H, Crabbé A, Jurėnas D, OstynL, Sass A, Daled S, Dhaenens M, Deforce D, Teirlinck D, De Keersmaecker H, Braeckmans K, Van Melderen L, and Coenye T (2019). The role of mini-proteins in Burkholderia cenocepacia J2315 biofilm formation and persistence. Biofilms (1), 100001.
Contact personAurélie Crabbé
Department of Pharmaceutical Analysis