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Early Detection of Cystic Fibrosis Acute Pulmonary Exacerbations by Exhaled Breath Condensate Metabolomics.
Zang, Xiaoling; Monge, María Eugenia; Gaul, David A; McCarty, Nael A; Stecenko, Arlene; Fernández, Facundo M.
Afiliação
  • Zang X; School of Chemistry and Biochemistry , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
  • Monge ME; Centro de Investigaciones en Bionanociencias (CIBION) , Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) , Godoy Cruz 2390 , Ciudad de Buenos Aires C1425FQD , Argentina.
  • Gaul DA; School of Chemistry and Biochemistry , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
  • McCarty NA; Emory + Children's Center for Cystic Fibrosis and Airways Disease Research and Department of Pediatrics , Emory University School of Medicine and Children's Healthcare of Atlanta , Atlanta , Georgia 30322 , United States.
  • Stecenko A; Emory + Children's Center for Cystic Fibrosis and Airways Disease Research and Department of Pediatrics , Emory University School of Medicine and Children's Healthcare of Atlanta , Atlanta , Georgia 30322 , United States.
  • Fernández FM; School of Chemistry and Biochemistry , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
J Proteome Res ; 19(1): 144-152, 2020 01 03.
Article em En | MEDLINE | ID: mdl-31621328
ABSTRACT
The most common cause of death in cystic fibrosis (CF) patients is progressive lung function decline, which is punctuated by acute pulmonary exacerbations (APEs). A major challenge is to discover biomarkers for detecting an oncoming APE and allow for pre-emptive clinical interventions. Metabolic profiling of exhaled breath condensate (EBC) samples collected from CF patients before, during, and after APEs and under stable conditions (n = 210) was performed using ultraperformance liquid chromatography (UPLC) coupled to Orbitrap mass spectrometry (MS). Negative ion mode MS data showed that classification between metabolic profiles from "pre-APE" (pending APE before the CF patient had any signs of illness) and stable CF samples was possible with good sensitivities (85.7 and 89.5%), specificities (88.4 and 84.1%), and accuracies (87.7 and 85.7%) for pediatric and adult patients, respectively. Improved classification performance was achieved by combining positive with negative ion mode data. Discriminant metabolites included two potential biomarkers identified in a previous pilot study lactic acid and 4-hydroxycyclohexylcarboxylic acid. Some of the discriminant metabolites had microbial origins, indicating a possible role of bacterial metabolism in APE progression. The results show promise for detecting an oncoming APE using EBC metabolites, thus permitting early intervention to abort such an event.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fibrose Cística Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Adult / Child / Humans Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fibrose Cística Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Adult / Child / Humans Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos