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Endothelial AHR activity prevents lung barrier disruption in viral infection

Disruption of the lung endothelial–epithelial cell barrier following respiratory virus infection causes cell and fluid accumulation in the air spaces and compromises vital gas exchange function1. Endothelial dysfunction can exacerbate tissue damage2,3, yet it is unclear whether the lung endothelium promotes host resistance against viral pathogens. Here we show that the environmental sensor aryl hydrocarbon receptor (AHR) is highly active in lung endothelial cells and protects against influenza-induced lung vascular leakage. Loss of AHR in endothelia exacerbates lung damage and promotes the infiltration of red blood cells and leukocytes into alveolar air spaces. Moreover, barrier protection is compromised and host susceptibility to secondary bacterial infections is increased when endothelial AHR is missing. AHR engages tissue-protective transcriptional networks in endothelia, including the vasoactive apelin–APJ peptide system4, to prevent a dysplas ....

Apple Academic , Rr Core Team , Stem Cell , Cell Rep , Cell Biol , Cancer Res , Accurate Quantification , Genetic Analysis , Apple Academic Press , Statistical Computing ,

Prevalence and predictors of data and code sharing in the medical and health sciences: systematic review with meta-analysis of individual participant data

Objectives To synthesise research investigating data and code sharing in medicine and health to establish an accurate representation of the prevalence of sharing, how this frequency has changed over time, and what factors influence availability.

Design Systematic review with meta-analysis of individual participant data.

Data sources Ovid Medline, Ovid Embase, and the preprint servers medRxiv, bioRxiv, and MetaArXiv were searched from inception to 1 July 2021. Forward citation searches were also performed on 30 August 2022.

Review methods Meta-research studies that investigated data or code sharing across a sample of scientific articles presenting original medical and health research were identified. Two authors screened records, assessed the risk of bias, and extracted summary data from study reports when individual participant data could not be retrieved. Key outcomes of interest were the prevalence of statements that declared that data or code were publicly or pr ....

Ovid Embase , Kyungwan Hong , Jason Wasiak , Steve Mcdonald , Hannah Fraser , Anisa Rowhani Farid , Ovid Medline , Fiona Fidler , Veritas Health Innovation , University Of Melbourne , Australian Research Council , Rr Foundation For Statistical Computing , Department Of Health , Drug Administration , Human Services , John Arnold Foundation , Australian Commonwealth Government Research Training Programme Scholarship , Danielg Hamilton , Conclusions The , Open Science Framework , Preferred Reporting Items , Statistical Computing , Creative Commons , Sue Finch , Rebecca Hamilton , Open Access ,