Chronic lung inflammatory diseases pose a substantial global health challenge, with respiratory diseases frequently intertwined with these conditions. In response, glucocorticoids and anti-inflammatory drugs have become conventional intrapulmonary therapies, although their efficacy is hampered by poor distribution within the lungs. To address this limitation, exogenous surfactants, particularly bovine lipid extract surfactant, have been proposed as an optimal delivery method, holding promise in enhancing pulmonary drug distribution, especially in distant areas of the lung, particularly at the alveolar surface.

This study embarks on a comprehensive exploration of the interplay between glucocorticoids and exogenous surfactants, with the overarching goal of advancing the efficacy of intrapulmonary therapies for inflammatory lung diseases. The investigation extends into the physicochemical characteristics of lung surfactants using a multidimensional approach involving in vitro and in silico methods. Central to this exploration is understanding how glucocorticoid treatment influences the structural and dynamical features of exogenous surfactants and how these drugs, in turn, impact the surfactant monolayer's ability to lower surface tension—a critical factor in the treatment of pulmonary inflammation. Additionally, the project aims is to unravel the intricate interactions between the lung surfactant monolayer, exogenous surfactants, and inhaled corticosteroids. The utilization of molecular dynamics simulations in biomolecular simulations enables an in-depth analysis of the molecular interactions between drug molecules and monolayer constituents. This sophisticated computational approach contributes to a nuanced understanding of the synergistic effects, providing insights into the molecular mechanisms at play. The study delves into the physicochemical characteristics of lung surfactants using a synergistic combination of in vitro experiments and in silico simulations. In vitro analyses provide tangible data regarding the chemical composition, stability, and behavior of lung surfactants under different conditions. This experimental foundation is complemented by in silico methods, leveraging computational tools to simulate and analyze the behavior of surfactant molecules at a molecular level. Understanding the physicochemical properties of exogenous surfactants is pivotal for optimizing their interaction with glucocorticoids. This includes scrutinizing parameters such as surface tension, viscosity, and molecular arrangement. The intricate interplay between these characteristics ultimately influences the distribution and effectiveness of intrapulmonary therapies. By bridging the gap between experimental and computational insights, this research aims to provide a holistic understanding of lung surfactants' behavior in the presence of glucocorticoids. Beyond the conventional scope, this study ventures into exploring the intricate interactions between the lung surfactant monolayer, exogenous surfactants, and inhaled corticosteroids. This project represents a substantial contribution to the understanding of intrapulmonary therapies for chronic lung inflammatory diseases. By combining in vitro experiments and biomolecular simulations, the study navigates through the complex interplay of glucocorticoids and exogenous surfactants, shedding light on the physicochemical characteristics and molecular dynamics that govern their synergistic effects. The findings promise to not only enhance the current understanding of pulmonary drug delivery but also pave the way for innovative and personalized therapeutic approaches in the realm of respiratory medicine.