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Lung In Vitro event

June 20-21, 2024 | Nice, FRANCE

The Lung In Vitro event for innovative and predictive models will take place in Nice, France from June 11th to the 14th.

Join us at booth #8 to discover our solutions for in vitro pulmonary studies!

Day 2 Talk | June 21st at 2:25 PM
Dr Emily Wilson from Mcgill University will be giving a talk on June 21st at 2:25 PM. She will be sharing about her work on “Enhanced Toxicological Evaluation of Cannabis Vapor on Lung Epithelial Cells Using Air-Liquid Interface Culture ”.
 
Talk Overview:

Cannabis use has been increasing with widespread legalization. Despite this, there are still many unknowns about how cannabis affects our health. Emily’s work seeks to shed light on the impacts of inhaled cannabis products on our lungs so that consumers and policymakers can make informed decisions. While smoking cannabis is known to release harmful combustion products, vaporizing cannabis heats the plant without burning it, potentially reducing these harmful byproducts. The epithelial cells of the lungs are the first to encounter the compounds we inhale. Therefore, Emily assessed the impact of cannabis vapor on the transcriptional response of A549 type 2 alveolar epithelial cells (AEC2) using three different models: submerged, pseudo-air-liquid interface (ALI), and ALI conditions coupled with the expoCubeTM advanced exposure system. She found that culturing cells at ALI made the cell line display more characteristics of AEC2 cells found in our lungs, such as surfactant production, ion movement, and barrier integrity. Culturing cells in submerged conditions versus ALI had significant impacts on the transcriptomic profile of the cells at baseline as well as their response to stimuli. Lastly, no matter the model, Emily’s work determined that cannabis vapor caused an induction of pathways related to cell growth, cancer, and oxidative stress, indicating that cannabis vapor is not inert and that future studies should work to better understand the carcinogenic potential of these devices.

Precision-Cut Lung Slices (PCLS) help researchers understand pathophysiological mechanisms associated with various respiratory diseases. The physioLens is a scientific platform that provides accurate physiological and image-based outcomes in a reproducible fashion. It includes an automated microscope and fluid handling system. 

The physioLens features:

  • Automation: The physioLens is capable of capturing images anywhere on slices in a 6 well plate and apply doses without user intervention. Images are analyzed in real-time to provide bronchoconstriction data. 
  • Dosing: Agonists are provided to the slice without user intervention by a dosing nozzle, that can provide a 95% media exchange in less than 20 seconds. In addition, eight dosing bottles are provided to complete a detailed dose response automatically.
  • Image analysis: Images of airways are automatically processed to capture the lumen contours and then calculate bronchoconstriction.
  • Slice scanning: Navigating a slice is not necessary with our airway configuration wizard complete with full slice mapping. Fine tune the positions of interest with our click-and-drag XY navigation.
physioLens
expoCube

We are proud to introduce our new expoCube, adding robust in vitro exposure to the automated inExpose system.

The expoCube provides a novel ALI (air liquid interface) culture exposure system, integrating with the inExpose’s existing exposure generators such as the integrated cigarette smoking robot and industry leading e-cigarette extensions.

The expoCube features:

  • Reproducibility: Efficient, uniform, and precise exposure of particulates onto target cells and tissues.
  • Precision: Optimized flow paths using advanced computational fluid dynamics (CFD) modelling.
  • Deposition: Patented thermophoresis, increasing the deposition efficiency of small particles without imparting unnatural electrostatic charges onto the aerosols.

Our team is available for meetings during the conference. Schedule a meeting with us using the link below !

David Brunet

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