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ARDS metabolic fingerprints: characterization, benchmarking, and potential mechanistic interpretation.
Metwaly, Sayed; Côté, Andréanne; Donnelly, Sarah J; Banoei, Mohammad M; Lee, Chel H; Andonegui, Graciela; Yipp, Bryan G; Vogel, Hans J; Fiehn, Oliver; Winston, Brent W.
Afiliação
  • Metwaly S; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom.
  • Côté A; Department of Internal Medicine, Aberdeen Royal Infirmary, NHS Scotland, Aberdeen, United Kingdom.
  • Donnelly SJ; Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Banoei MM; Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Montreal, Québec, Canada.
  • Lee CH; Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Andonegui G; Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Yipp BG; Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Vogel HJ; Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Fiehn O; Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Winston BW; Bio-NMR Center, Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada.
Am J Physiol Lung Cell Mol Physiol ; 321(1): L79-L90, 2021 07 01.
Article em En | MEDLINE | ID: mdl-33949201
ABSTRACT
In this study, we aimed to identify acute respiratory distress syndrome (ARDS) metabolic fingerprints in selected patient cohorts and compare the metabolic profiles of direct versus indirect ARDS and hypoinflammatory versus hyperinflammatory ARDS. We hypothesized that the biological and inflammatory processes in ARDS would manifest as unique metabolomic fingerprints that set ARDS apart from other intensive care unit (ICU) conditions and could help examine ARDS subphenotypes and clinical subgroups. Patients with ARDS (n = 108) and ICU ventilated controls (n = 27) were included. Samples were randomly divided into 2/3 training and 1/3 test sets. Samples were analyzed using 1H nuclear magnetic resonance spectroscopy and gas chromatography-mass spectrometry. Twelve proteins/cytokines were also measured. Orthogonal partial least squares discriminant analysis (OPLS-DA) was used to select the most differentiating ARDS metabolites and protein/cytokines. Predictive performance of OPLS-DA models was measured in the test set. Temporal changes of metabolites were examined as patients progressed through ARDS until clinical recovery. Metabolic profiles of direct versus indirect ARDS subgroups and hypoinflammatory versus hyperinflammatory ARDS subgroups were compared. Serum metabolomics and proteins/cytokines had similar area under receiver operator curves when distinguishing ARDS from ICU controls. Pathway analysis of ARDS differentiating metabolites identified a dominant involvement of serine-glycine metabolism. In longitudinal tracking, the identified pathway metabolites generally exhibited correction by 7-14 days, coinciding with clinical improvement. ARDS subphenotypes and clinical subgroups were metabolically distinct. However, our identified metabolic fingerprints are not ARDS diagnostic biomarkers, and further research is required to ascertain generalizability. In conclusion, patients with ARDS are metabolically different from ICU controls. ARDS subphenotypes and clinical subgroups are metabolically distinct.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome do Desconforto Respiratório / Biomarcadores / Benchmarking / Metaboloma Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Physiol Lung Cell Mol Physiol Assunto da revista: BIOLOGIA MOLECULAR / FISIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome do Desconforto Respiratório / Biomarcadores / Benchmarking / Metaboloma Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Physiol Lung Cell Mol Physiol Assunto da revista: BIOLOGIA MOLECULAR / FISIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido