Nitric oxide (NO) is detectable in exhaled breath and is thought to be a marker of lung inflammation. The multicompartment model of NO exchange in the lungs, which was previously introduced by our laboratory, considers parallel and serial heterogeneity in the proximal and distal regions and can simulate dynamic features of the NO exhalation profile, such as a sloping phase III region. Here, we present a detailed sensitivity analysis of the multicompartment model and then apply the model to a population of children with mild asthma. Latin hypercube sampling demonstrated that ventilation and structural parameters were not significant relative to NO production terms in determining the NO profile, thus reducing the number of free parameters from nine to five. Analysis of exhaled NO profiles at three flows (50, 100, and 200 ml/s) from 20 children (age 7-17 yr) with mild asthma representing a wide range of exhaled NO (4.9 ppb < fractional exhaled NO at 50 ml/s < 120 ppb) demonstrated that 90% of the children had a negative phase III slope. The multicompartment model could simulate the negative phase III slope by increasing the large airway NO flux and/or distal airway/alveolar concentration in the well-ventilated regions. In all subjects, the multicompartment model analysis improved the least-squares fit to the data relative to a single-path two-compartment model. We conclude that features of the NO exhalation profile that are commonly observed in mild asthma are more accurately simulated with the multicompartment model than with the two-compartment model. The negative phase III slope may be due to increased NO production in well-ventilated regions of the lungs.
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http://dx.doi.org/10.1152/japplphysiol.00795.2009 | DOI Listing |
J Int Soc Sports Nutr
December 2025
Utah State University, Kinesiology & Health Science, Logan, UT, USA.
Background: The body composition of National Collegiate Athletic Association (NCAA) athletes is well documented but no such data exist for university club sports athletes. Additionally, the majority of norms for NCAA athletes were created from individual methods requiring assumptions.
Objective: This study used a four-component (4C) model to measure the body composition of university club sports athletes.
Radiol Med
December 2024
Interventional Radiology Unit, Department of Diagnostic Imaging and Interventional Radiology, A.O.U. Città Della Salute e della Scienza Di Torino, Turin, Italy.
Purpose: We aimed to evaluate the prognostic impact of baseline clinical features and treatment procedure, including liver function measured with albumin-bilirubin (ALBI) formula and dosing methods in HCC patients treated with SIRT.
Material And Methods: The study includes 82 consecutive patients with liver-dominant HCC treated with SIRT (Y glass microspheres, TheraSphereTM) between October 2014 and September 2023. Twenty-five patients were treated with standard dosimetry, while for remaining patients, multi-compartment dosimetry was performed using Simplicit90YTM software.
Nat Comput Sci
December 2024
Beijing Academy of Artificial Intelligence, Beijing, China.
The behavior of an organism is influenced by the complex interplay between its brain, body and environment. Existing data-driven models focus on either the brain or the body-environment. Here we present BAAIWorm, an integrative data-driven model of Caenorhabditis elegans, which consists of two submodels: the brain model and the body-environment model.
View Article and Find Full Text PDFPLoS Comput Biol
December 2024
Department of Physics, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Astrocytes respond to neurotransmitters by increasing their intracellular Ca2+ concentration (Ca2+ signals). While glutamate released by neurons trigger Ca2+ signals through IP3- and glutamate transporter-dependent mechanisms, dopamine released in distant sites activates astrocytes via dopaminergic receptors. However, little is known about the modulatory effects of dopamine on glutamate-evoked astrocytic activity.
View Article and Find Full Text PDFOpen Res Eur
November 2024
Department for Neuro- and Sensory Physiology, University Medical Center Göttingen, Göttingen, 37077, Germany.
Background: Finding appropriate model parameters for multi-compartmental neuron models can be challenging. Parameters such as the leak and axial conductance are not always directly derivable from neuron observations but are crucial for replicating desired observations. The objective of this study is to replicate the attenuation behavior of an excitatory postsynaptic potential (EPSP) traveling along a linear chain of compartments on the analog BrainScaleS-2 neuromorphic hardware platform.
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