2022
DOI: 10.1164/rccm.202105-1268oc
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Metabo-Endotypes of Asthma Reveal Differences in Lung Function: Discovery and Validation in Two TOPMed Cohorts

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Cited by 18 publications
(4 citation statements)
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“…For example, a recent analysis of three cohort studies of bronchiolitis in the USA and Finland has revealed that the phenotype characterised by a history of breathing problems, allergic predisposition and rhinovirus infection had a significantly increased risk for asthma12—which is in line with the present analysis. Additionally, previous reports using global metabolomics (ie, not lipidomics) have suggested pathobiological roles of complex lipids in the pathobiology of both acute respiratory infections17 38–42 and asthma 19 43 44. For example, concordant with the endotype B (clinical severe lipid sphingolipids-high ) observed in the current study, a metabolomic analysis of 144 infants with bronchiolitis has reported a positive association of sphingolipids in the upper airway with higher bronchiolitis severity 15.…”
Section: Discussionsupporting
confidence: 82%
“…For example, a recent analysis of three cohort studies of bronchiolitis in the USA and Finland has revealed that the phenotype characterised by a history of breathing problems, allergic predisposition and rhinovirus infection had a significantly increased risk for asthma12—which is in line with the present analysis. Additionally, previous reports using global metabolomics (ie, not lipidomics) have suggested pathobiological roles of complex lipids in the pathobiology of both acute respiratory infections17 38–42 and asthma 19 43 44. For example, concordant with the endotype B (clinical severe lipid sphingolipids-high ) observed in the current study, a metabolomic analysis of 144 infants with bronchiolitis has reported a positive association of sphingolipids in the upper airway with higher bronchiolitis severity 15.…”
Section: Discussionsupporting
confidence: 82%
“…The second approach involves mass spectrometry for quantifying biomolecules (lipids, proteins, or metabolites) in cells or tissues [21]. In a study utilizing metabolome-wide data and clustering, five clusters were discerned in asthmatic children, showcasing variations in lung function parameters [22]. Metabolomics data from Exhaled Breath Condensate (EBC) underwent analysis using clustering algorithms, revealing three clusters distinguished by blood eosinophil percentage and other factors [23].…”
Section: Pediatric Asthma Endotypesmentioning
confidence: 99%
“…(10, 11) Metabolomic and proteomic analyses of airway samples have also been used to delineate patient subtypes. (12, 13) However, the technical demands and cost of these ‘omic approaches preclude their widespread clinical use.…”
Section: Introductionmentioning
confidence: 99%