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Mucociliary clearance (MCC) is one of the most important defence mechanisms of the human respiratory system. Its failure is implicated in many chronic and debilitating airway diseases. However, due to the complexity of lung organization, we currently lack full understanding on the relationship between these regional differences in anatomy and biology and MCC functioning. For example, it is unknown whether the regional variability of airway geometry, cell biology and ciliary mechanics play a functional role in MCC. It therefore remains unclear whether the regional preference seen in some airway diseases could originate from local MCC dysfunction. Though great insights have been gained into the genetic basis of cilia ultrastructural defects in airway ciliopathies, the scaling to regional MCC function and subsequent clinical phenotype remains unpredictable. Understanding the multiscale mechanics of MCC would help elucidate genotype-phenotype relationships and enable better diagnostic tools and treatment options. Here, we review the hierarchical and variable organization of ciliated airway epithelium in human lungs and discuss how this organization relates to MCC function. We then discuss the relevancy of these structure-function relationships to current topics in lung disease research. Finally, we examine how state-of-the-art computational approaches can help address existing open questions. This article is part of the Theo Murphy meeting issue 'Unity and diversity of cilia in locomotion and transport'.
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http://dx.doi.org/10.1098/rstb.2019.0160 | DOI Listing |
Chaos
March 2025
Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Accurate and efficient fluid flow models are essential for applications relating to many physical phenomena, including geophysical, aerodynamic, and biological systems. While these flows may exhibit rich and multiscale dynamics, in many cases, underlying low-rank structures exist, which describe the bulk of the motion. These structures tend to be spatially large and temporally slow and may contain most of the energy in a given flow.
View Article and Find Full Text PDFComput Methods Programs Biomed
March 2025
School of Computing, Tokyo Institute of Technology, Yokohama 226-8502, Japan.
Background And Objective: Alzheimer's disease (AD) significantly threatens community well-being and healthcare resource allocation due to its high incidence and mortality. Therefore, early detection and intervention are crucial for reducing AD-related fatalities. However, the existing deep learning-based approaches often struggle to capture complex structural features of magnetic resonance imaging (MRI) data effectively.
View Article and Find Full Text PDFSmall
March 2025
Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
Peripheral nerve injuries (PNIs) often lead to semi or complete loss of motor, sensory and autonomic functions. Although autografts are still the best option for PNI repair, their use is restricted due to the morbidity and availability of donor nerves. Because electrospun scaffolds may replicate the structure of native extracellular matrix (ECM), they provide a viable alternative.
View Article and Find Full Text PDFSmall Methods
March 2025
Department of Chemical Engineering, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
The modern era demands multifunctional materials to support advanced technologies and tackle complex environmental issues caused by these innovations. Consequently, material hybridization has garnered significant attention as a strategy to design materials with prescribed multifunctional properties. Drawing inspiration from nature, a multi-scale material design approach is proposed to produce 3D-shaped hybrid materials by combining chaotic flows with direct ink writing (ChDIW).
View Article and Find Full Text PDFMolecules
March 2025
Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China.
This study systematically investigates the formation mechanism and development characteristics of the "foamy oil" phenomenon during pressure depletion development of high-viscosity crude oil through a combination of physical experiments and numerical simulations. Using Venezuelan foamy oil as the research subject, an innovative heterogeneous pore-etched glass model was constructed to simulate the pressure depletion process, revealing for the first time that bubble growth predominantly occurs during the migration stage. Experimental results demonstrate that heavy components significantly delay degassing by stabilizing gas-liquid interfaces, while the continuous gas-liquid diffusion effect explains the unique development characteristics of foamy oil-high oil recovery and delayed phase transition-from a microscopic perspective.
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