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Comparative analysis of the alveolar microbiome in COPD, ECOPD, Sarcoidosis, and ILD patients to identify respiratory illnesses specific microbial signatures.
Gupta, Shashank; Shariff, Malini; Chaturvedi, Gaura; Sharma, Agrima; Goel, Nitin; Yadav, Monika; Mortensen, Martin S; Sørensen, Søren J; Mukerji, Mitali; Chauhan, Nar Singh.
Afiliación
  • Gupta S; Section of Microbiology, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark.
  • Shariff M; Department of Biochemistry, Maharshi Dayanand University, Rohtak, Haryana, 124001, India.
  • Chaturvedi G; Department of Microbiology, Vallabhbhai Patel Chest Institute, University of Delhi, Delhi, 110007, India.
  • Sharma A; Genomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology (CSIR -IGIB), South Campus, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
  • Goel N; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
  • Yadav M; Department of Microbiology, Vallabhbhai Patel Chest Institute, University of Delhi, Delhi, 110007, India.
  • Mortensen MS; Department of Pulmonary Medicine, Vallabhbhai Patel Chest Institute, University of Delhi, Delhi, 110007, India.
  • Sørensen SJ; Department of Biochemistry, Maharshi Dayanand University, Rohtak, Haryana, 124001, India.
  • Mukerji M; Section of Microbiology, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark.
  • Chauhan NS; Section of Microbiology, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark.
Sci Rep ; 11(1): 3963, 2021 02 17.
Article en En | MEDLINE | ID: mdl-33597669
Studying respiratory illness-specific microbial signatures and their interaction with other micro-residents could provide a better understanding of lung microbial ecology. Each respiratory illness has a specific disease etiology, however, so far no study has revealed disease-specific microbial markers. The present study was designed to determine disease-specific microbial features and their interactions with other residents in chronic obstructive pulmonary diseases (stable and exacerbated), sarcoidosis, and interstitial lung diseases. Broncho-alveolar lavage samples (n = 43) were analyzed by SSU rRNA gene sequencing to study the alveolar microbiome in these diseases. A predominance of Proteobacteria followed by Firmicutes, Bacteroidetes, Actinobacteria, and Fusobacteria was observed in all the disease subsets. Shannon diversity was significantly higher in stable COPD when compared to exacerbated chronic obstructive pulmonary disease (ECOPD) (p = 0.0061), and ILD patient samples (p = 0.037). The lung microbiome of the patients with stable COPD was more diverse in comparison to ECOPD and ILD patients (p < 0.001). Lefse analysis identified 40 disease-differentiating microbial features (LDA score (log10) > 4). Species network analysis indicated a significant correlation (p < 0.05) of diseases specific microbial signature with other lung microbiome members. The current study strengthens the proposed hypothesis that each respiratory illness has unique microbial signatures. These microbial signatures could be used as diagnostic markers to differentiate among various respiratory illnesses.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sarcoidosis / Enfermedades Pulmonares Intersticiales / Enfermedad Pulmonar Obstructiva Crónica Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sarcoidosis / Enfermedades Pulmonares Intersticiales / Enfermedad Pulmonar Obstructiva Crónica Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Reino Unido