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Characterizing preclinical sub‐phenotypic models of acute respiratory distress syndrome: An experimental ovine study
Author(s) -
Millar Jonathan E.,
Wildi Karin,
Bartnikowski Nicole,
Bouquet Mahe,
Hyslop Kieran,
Passmore Margaret R.,
Ki Katrina K.,
See Hoe Louise E.,
Obonyo Nchafatso G.,
Neyton Lucile,
Pedersen Sanne,
Rozencwajg Sacha,
Baillie J. Kenneth,
Li Bassi Gianluigi,
Suen Jacky Y.,
McAuley Daniel F.,
Fraser John F.
Publication year - 2021
Publication title -
physiological reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.918
H-Index - 39
ISSN - 2051-817X
DOI - 10.14814/phy2.15048
Subject(s) - ards , phenotype , acute respiratory distress , medicine , bioinformatics , population , computational biology , lung , pathology , biology , intensive care medicine , genetics , gene , environmental health
The acute respiratory distress syndrome (ARDS) describes a heterogenous population of patients with acute severe respiratory failure. However, contemporary advances have begun to identify distinct sub‐phenotypes that exist within its broader envelope. These sub‐phenotypes have varied outcomes and respond differently to several previously studied interventions. A more precise understanding of their pathobiology and an ability to prospectively identify them, may allow for the development of precision therapies in ARDS. Historically, animal models have played a key role in translational research, although few studies have so far assessed either the ability of animal models to replicate these sub‐phenotypes or investigated the presence of sub‐phenotypes within animal models. Here, in three ovine models of ARDS, using combinations of oleic acid and intravenous, or intratracheal lipopolysaccharide, we investigated the presence of sub‐phenotypes which qualitatively resemble those found in clinical cohorts. Principal Component Analysis and partitional clustering identified two clusters, differentiated by markers of shock, inflammation, and lung injury. This study provides a first exploration of ARDS phenotypes in preclinical models and suggests a methodology for investigating this phenomenon in future studies.

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