2023
DOI: 10.1038/s41598-023-36697-x
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Fatty acid fingerprints in bronchoalveolar lavage fluid and its extracellular vesicles reflect equine asthma severity

Abstract: Equine asthma (EA) is an inflammatory disease of the lower airways driven by mediators released from cells. Extracellular vesicles (EVs) are vehicles for lipid mediators, which possess either pro-inflammatory or dual anti-inflammatory and pro-resolving functions. In this study, we investigated how the respiratory fatty acid (FA) profile reflects airway inflammatory status. The FA composition of bronchoalveolar lavage fluid (BALF), BALF supernatant, and bronchoalveolar EVs of healthy horses (n = 15) and horses … Show more

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Cited by 6 publications
(7 citation statements)
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References 57 publications
(69 reference statements)
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“…As multicollinearity between variables might, in principle, confound the estimation of featuresʼ importance in RF classification, we sampled the variable groups (Fig. 1 ) to create a 1000-fold enriched dataset with only 6 features, one representing each group of variables as detailed in [ 54 ] (see also the “ Materials and methods ” section). This approach eliminates de facto a large fraction of the multicollinearity in the data and, at the same time, increases the size of the dataset.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…As multicollinearity between variables might, in principle, confound the estimation of featuresʼ importance in RF classification, we sampled the variable groups (Fig. 1 ) to create a 1000-fold enriched dataset with only 6 features, one representing each group of variables as detailed in [ 54 ] (see also the “ Materials and methods ” section). This approach eliminates de facto a large fraction of the multicollinearity in the data and, at the same time, increases the size of the dataset.…”
Section: Resultsmentioning
confidence: 99%
“…RF analysis was performed using the sklearn Python package, following our approach published in [ 54 ]. To build the RF classifier, we used the following parameters: n_estimators = 100, criterion = ‘entropy’, max_depth = None, min_samples_split = 2, min_samples_leaf = 1, min_weight_fraction_leaf = 0.0, max_features = 6, max_leaf_nodes = None, min_impurity_decrease = 0.0, bootstrap = True, oob_score = False, n_jobs = − 1, random_state = None, verbose = 0, warm_start = False, class_weight = None, ccp_alpha = 0.0, max_samples = None.…”
Section: Methodsmentioning
confidence: 99%
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“…Several endotypes and phenotypes of equine asthma have even been recognized [ 189 , 191 ]. To enhance laboratory verification of equine asthma or to differentiate the asthma endotypes and phenotypes, several metabolomic studies have been recently published [ 86 , 192 , 193 ], demonstrating significant changes in lipid metabolites.…”
Section: Translational Value and Limitations Of Animal Models Of Asthmamentioning
confidence: 99%
“…Lipidomics have been used to investigate mechanisms and treatments of asthma and other lung diseases in humans [ 9 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ], whilst studies in horses have included lipid and/or fatty acid (FA) compositions of plasma, surfactant [ 11 , 22 ], bronchoalveolar lavage fluid (BALF) cells [ 23 ], and BALF extracellular vesicles (EVs) [ 24 ] from horses affected by different types and severities of airway inflammation. The aim of this review article is to explore the basic concepts of biologically active lipids in the equine body, with special emphasis on the role of lipids in inflammation, and to collect and summarize the findings of recent lipidomic studies on equine airway inflammation.…”
Section: Introductionmentioning
confidence: 99%