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Lung Microbiota and Metabolites Collectively Associate with Clinical Outcomes in Milder Stage Chronic Obstructive Pulmonary Disease.
Madapoosi, Siddharth S; Cruickshank-Quinn, Charmion; Opron, Kristopher; Erb-Downward, John R; Begley, Lesa A; Li, Gen; Barjaktarevic, Igor; Barr, R Graham; Comellas, Alejandro P; Couper, David J; Cooper, Christopher B; Freeman, Christine M; Han, MeiLan K; Kaner, Robert J; Labaki, Wassim; Martinez, Fernando J; Ortega, Victor E; Peters, Stephen P; Paine, Robert; Woodruff, Prescott; Curtis, Jeffrey L; Huffnagle, Gary B; Stringer, Kathleen A; Bowler, Russell P; Esther, Charles R; Reisdorph, Nichole; Huang, Yvonne J.
Afiliação
  • Madapoosi SS; Division of Pulmonary and Critical Care Medicine, Department of Medicine.
  • Cruickshank-Quinn C; Department of Pharmaceutical Sciences, University of Colorado, Anschutz Campus, Aurora, Colorado.
  • Opron K; Division of Pulmonary and Critical Care Medicine, Department of Medicine.
  • Erb-Downward JR; Division of Pulmonary and Critical Care Medicine, Department of Medicine.
  • Begley LA; Division of Pulmonary and Critical Care Medicine, Department of Medicine.
  • Li G; Department of Biostatistics, School of Public Health.
  • Barjaktarevic I; University of California at Los Angeles, Los Angeles, California.
  • Barr RG; Department of Medicine and.
  • Comellas AP; Department of Epidemiology, Columbia University Medical Center, New York, New York.
  • Couper DJ; University of Iowa, Iowa City, Iowa.
  • Cooper CB; Department of Biostatistics.
  • Freeman CM; University of California at Los Angeles, Los Angeles, California.
  • Han MK; Division of Pulmonary and Critical Care Medicine, Department of Medicine.
  • Kaner RJ; Division of Pulmonary and Critical Care Medicine, Department of Medicine.
  • Labaki W; Weill Cornell Medical College, New York, New York.
  • Martinez FJ; Division of Pulmonary and Critical Care Medicine, Department of Medicine.
  • Ortega VE; Weill Cornell Medical College, New York, New York.
  • Peters SP; Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina.
  • Paine R; Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina.
  • Woodruff P; University of Utah, Salt Lake City, Utah.
  • Curtis JL; University of California at San Francisco, San Francisco, California.
  • Huffnagle GB; Division of Pulmonary and Critical Care Medicine, Department of Medicine.
  • Stringer KA; Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Michigan.
  • Bowler RP; Division of Pulmonary and Critical Care Medicine, Department of Medicine.
  • Esther CR; Department of Molecular, Cellular and Developmental Biology.
  • Reisdorph N; Department of Clinical Pharmacy, College of Pharmacy, and.
  • Huang YJ; School of Medicine, University of Colorado, Aurora, Colorado; and.
Am J Respir Crit Care Med ; 206(4): 427-439, 2022 08 15.
Article em En | MEDLINE | ID: mdl-35536732
ABSTRACT
Rationale Chronic obstructive pulmonary disease (COPD) is variable in its development. Lung microbiota and metabolites collectively may impact COPD pathophysiology, but relationships to clinical outcomes in milder disease are unclear.

Objectives:

Identify components of the lung microbiome and metabolome collectively associated with clinical markers in milder stage COPD.

Methods:

We analyzed paired microbiome and metabolomic data previously characterized from bronchoalveolar lavage fluid in 137 participants in the SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), or (GOLD [Global Initiative for Chronic Obstructive Lung Disease Stage 0-2). Datasets used included 1) bacterial 16S rRNA gene sequencing; 2) untargeted metabolomics of the hydrophobic fraction, largely comprising lipids; and 3) targeted metabolomics for a panel of hydrophilic compounds previously implicated in mucoinflammation. We applied an integrative approach to select features and model 14 individual clinical variables representative of known associations with COPD trajectory (lung function, symptoms, and exacerbations). Measurements and Main

Results:

The majority of clinical measures associated with the lung microbiome and metabolome collectively in overall models (classification accuracies, >50%, P < 0.05 vs. chance). Lower lung function, COPD diagnosis, and greater symptoms associated positively with Streptococcus, Neisseria, and Veillonella, together with compounds from several classes (glycosphingolipids, glycerophospholipids, polyamines and xanthine, an adenosine metabolite). In contrast, several Prevotella members, together with adenosine, 5'-methylthioadenosine, sialic acid, tyrosine, and glutathione, associated with better lung function, absence of COPD, or less symptoms. Significant correlations were observed between specific metabolites and bacteria (Padj < 0.05).

Conclusions:

Components of the lung microbiome and metabolome in combination relate to outcome measures in milder COPD, highlighting their potential collaborative roles in disease pathogenesis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença Pulmonar Obstrutiva Crônica / Microbiota Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Respir Crit Care Med Assunto da revista: TERAPIA INTENSIVA Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença Pulmonar Obstrutiva Crônica / Microbiota Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Respir Crit Care Med Assunto da revista: TERAPIA INTENSIVA Ano de publicação: 2022 Tipo de documento: Article