Introduction: The lung environment is defined by unique biological boundary conditions, including complex alveolar geometry, extracellular matrix composition and mechanical forces generated during respiration. These factors were shown to regulate alveolar permeability, surfactant secretion, cell contractility and apoptosis, but their role in fungal infections remains unknown. is a critical fungal pathogen that causes severe pulmonary infections in immunocompromised individuals. Our study addresses a knowledge gap by investigating how boundary conditions affect conidia interactions with alveolar epithelial cells.
Methods: We applied micropatterned substrates to confine cells into defined shapes and densities, allowing precise control over geometric conditions and extracellular matrix composition. Using cell line stably expressing the phagolysosomal protein Lamp1-NeonGreen and multiplane fluorescent microscopy, we evaluated conidia binding and internalization efficiency.
Results: We observed significantly faster and more efficient conidia internalization in cells confined on micropatterns compared to previously reported studies using cell monolayers. Altering cell geometry, density and extracellular matrix composition strongly affected conidia binding and localization to Lamp1 phagolysosomes. Cells on X-shaped or multicellular micropatterns showed higher internalization rates, particularly at the periphery, suggesting spatial heterogeneity in pathogen uptake. Additionally, changes in extracellular matrix composition influenced the intracellular trafficking of conidia.
Discussion: Our findings emphasize the essential role that local mechanical and biochemical cues play in shaping the interactions between fungal pathogens and alveolar cells. Understanding how lung boundary conditions change in disease states will provide important insights into fungal infection outcomes.
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http://dx.doi.org/10.3389/fcimb.2025.1515779 | DOI Listing |
Front Cell Infect Microbiol
March 2025
Research and Innovation Unit, Health University of Applied Sciences Tyrol, FH Gesundheit Tirol, Innsbruck, Austria.
Introduction: The lung environment is defined by unique biological boundary conditions, including complex alveolar geometry, extracellular matrix composition and mechanical forces generated during respiration. These factors were shown to regulate alveolar permeability, surfactant secretion, cell contractility and apoptosis, but their role in fungal infections remains unknown. is a critical fungal pathogen that causes severe pulmonary infections in immunocompromised individuals.
View Article and Find Full Text PDFRSC Adv
March 2025
Hubei Longzhong Laboratory Xiangyang 441000 Hubei China.
This study investigates the mechanical responses and deformation mechanisms of CoCrFeMnNi high-entropy alloy (HEA) with varying grain size gradients through molecular dynamics simulations, and explores the tension-compression asymmetry of gradient nanograined high-entropy alloy (G-HEA) under different loading conditions. In the early stage of plastic deformation, the normal stress and shear strain of G-HEA both exhibit gradient distribution characteristics under compression and tension. However, as the engineering strain increased, these gradient distribution characteristics gradually diminished and ultimately disappeared.
View Article and Find Full Text PDFFront Plant Sci
February 2025
State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, China.
Introduction: Accurate phylogenetic reconstruction is crucial for understanding evolutionary relationships and biodiversity. Despite advances in molecular systematics, the relationships within Pandanales-which include Cyclanthaceae, Pandanaceae, Stemonaceae, Triuridaceae, and Velloziaceae-remain unresolved. This study aims to clarify these relationships by analyzing transcriptomic and genomic data from these families.
View Article and Find Full Text PDFSci Rep
March 2025
Department of Mechanical Engineering, Manipal University Jaipur, Jaipur, Rajasthan, 303007, India.
This study aims to evaluate the behavior of stainless steel 304 grade after immersion into corrosive environments of 5% HCl solution. The initial temperature of four steel plates was selected as room temperature, 50 °C, 80 °C and 110 °C. One plate was considered in 'as received' condition.
View Article and Find Full Text PDFSci Rep
March 2025
College of Pharmacy, Qiqihar Medical University, Qiqihar, 161003, China.
Accurate segmentation of organs or lesions from medical images is essential for accurate disease diagnosis and organ morphometrics. Previously, most researchers mainly added feature extraction modules and simply aggregated the semantic features to U-Net network to improve the segmentation accuracy of medical images. However, these improved U-Net networks ignore the semantic differences of different organs in medical images and lack the fusion of high-level semantic features and low-level semantic features, which will lead to blurred or miss boundaries between similar organs and diseased areas.
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