NSH Poster Podcast: P031 (2023)

Alternative Strategies For Analyzing Pre-Clinical Mouse Lungs

Authors: Nicholas Pankow, BA; Gabriela De la Cruz, BS; Hannah Marie Atkins, PhD, DVM

In some diseases or conditions, it is challenging to leverage human tissues to determine patterns and resolve disease progression. Similarities between human and mouse biology make using murine models in pre-clinical studies possible. More specifically, mouse lungs are used to further analyze respiratory illnesses as they provide scalable models that can either be genetically manipulated to elicit human diseases or follow similar phenotypic outcomes. Mice are thus used in several different disease models that can be later translated to human conditions including asthma, COPD, toxicants, cystic fibrosis, as well as viral and bacterial infections. The standard histological embedding orientation of the lung provides an easy view of the main bronchus, alveoli, bronchioles, trachea, and related lymph nodes for distinct research inquiries. However, the standard histological orientation may not demonstrate the specific areas of interest to further investigate these conditions. By trimming the lung lobes in specific ways or altering the orientation during embedding, we can provide a specific focus to a study. One alternative embedding strategy is the “max airway”, which focuses on showing the main bronchus anatomy on all lung lobes. The “morphometry” embedding strategy allows for multiple cross-sections of the left lung lobe and a cross-section of the main airway. Another common method is the “lung sampling” strategy which provides a systematically chosen cross-section of the lungs. A “left lobe focus” strategy is used to review the bronchioles and alveolar areas. Finally, “whole lung” embedding can be useful for examining general lung morphology, adjacent mediastinal structures, and other organs. Using these different protocols, we can bring a desired focus to a study and have a more scalable experiment without using human tissue early in the process.