Differences in Susceptibility of Human and Mouse Macrophage Cell Lines to Respiratory Syncytial Virus Infection

Heykers, Annick; Leemans, Annelies; Gucht, Winke Van der; Schryver, Marjorie De; Cos, Paul; Delputte, Peter

doi:10.1159/000502674

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…(2010) served as a base for the many risk assessments based on the exponential Wells–Riley models (Buonanno, Morawska et al., 2020; Bazant & Bush, 2021; Buonanno, Stabile et al., 2020; Cortellessa et al., 2021; Schijven et al., 2021) However, In studies with animal models, there are additional host‐specific concerns. Despite similarities differences in susceptibility between mice and humans exist for respiratory viruses (Heykers et al., 2019; Zhang et al., 2021), including SARS‐CoV‐2. Therefore, a fundamental dose–response relation is missing for a more realistic evaluation of the human‐to‐human transmission risk of coronavirus.…”

Section: Discussionmentioning

confidence: 99%

Does the exponential Wells–Riley model provide a good fit for human coronavirus and rhinovirus? A comparison of four dose–response models based on human challenge data

Aganović

Kadrić

2023

Risk Analysis

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The risk assessments during the COVID‐19 pandemic were primarily based on dose–response models derived from the pooled datasets for infection of animals susceptible to SARS‐CoV. Despite similarities, differences in susceptibility between animals and humans exist for respiratory viruses. The two most commonly used dose–response models for calculating the infection risk of respiratory viruses are the exponential and the Stirling approximated β‐Poisson (BP) models. The modified version of the one‐parameter exponential model or the Wells–Riley model was almost solely used for infection risk assessments during the pandemic. Still, the two‐parameter (α and β) Stirling approximated BP model is often recommended compared to the exponential dose–response model due to its flexibility. However, the Stirling approximation restricts this model to the general rules of β ≫ 1 and α ≪ β, and these conditions are very often violated. To refrain from these requirements, we tested a novel BP model by using the Laplace approximation of the Kummer hypergeometric function instead of the conservative Stirling approximation. The datasets of human respiratory airborne viruses available in the literature for human coronavirus (HCoV‐229E) and human rhinovirus (HRV‐16 and HRV‐39) are used to compare the four dose–response models. Based on goodness‐of‐fit criteria, the exponential model was the best fitting model for the HCoV‐229E (k = 0.054) and for HRV‐39 datasets (k = 1.0), whereas the Laplace approximated BP model followed by the exact and Stirling approximated BP models are preferred for both the HRV‐16 (α = 0.152 and β = 0.021 for Laplace BP) and the HRV‐16 and HRV‐39 pooled datasets (α = 0.2247 and β = 0.0215 for Laplace BP).

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Section: Discussionmentioning

confidence: 99%

Does the exponential Wells–Riley model provide a good fit for human coronavirus and rhinovirus? A comparison of four dose–response models based on human challenge data

Aganović

Kadrić

2023

Risk Analysis

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The Multifaceted Role and Utility of MicroRNAs in Indolent B-Cell Non-Hodgkin Lymphomas

et al. 2021

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Normal B-cell development is a tightly regulated complex procedure, the deregulation of which can lead to lymphomagenesis. One common group of blood cancers is the B-cell non-Hodgkin lymphomas (NHLs), which can be categorized according to the proliferation and spread rate of cancer cells into indolent and aggressive ones. The most frequent indolent B-cell NHLs are follicular lymphoma and marginal zone lymphoma. MicroRNAs (miRNAs) are small non-coding RNAs that can greatly influence protein expression. Based on the multiple interactions among miRNAs and their targets, complex networks of gene expression regulation emerge, which normally are essential for proper B-cell development. Multiple miRNAs have been associated with B-cell lymphomas, as the deregulation of these complex networks can lead to such pathological states. The aim of the present review is to summarize the existing information regarding the multifaceted role of miRNAs in indolent B-cell NHLs, affecting the main B-cell subpopulations. We attempt to provide insight into their biological function, the complex miRNA-mRNA interactions, and their biomarker utility in these malignancies. Lastly, we address the limitations that hinder the investigation of the role of miRNAs in these lymphomas and discuss ways that these problems could be overcome in the future.

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Differences in Susceptibility of Human and Mouse Macrophage Cell Lines to Respiratory Syncytial Virus Infection

Cited by 2 publications

References 36 publications

Does the exponential Wells–Riley model provide a good fit for human coronavirus and rhinovirus? A comparison of four dose–response models based on human challenge data

Does the exponential Wells–Riley model provide a good fit for human coronavirus and rhinovirus? A comparison of four dose–response models based on human challenge data

The Multifaceted Role and Utility of MicroRNAs in Indolent B-Cell Non-Hodgkin Lymphomas

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