Title |
The bronchial epithelial cell bacterial microbiome and host response in patients infected with human immunodeficiency virus
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Published in |
BMC Pulmonary Medicine, November 2016
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DOI | 10.1186/s12890-016-0303-4 |
Pubmed ID | |
Authors |
Marc A. Sze, Stella Xu, Janice M. Leung, Emily A. Vucic, Tawimas Shaipanich, Aida Moghadam, Marianne Harris, Silvia Guillemi, Sunita Sinha, Corey Nislow, Darra Murphy, Cameron Hague, Jonathon Leipsic, Stephen Lam, Wan Lam, Julio S. Montaner, Don D. Sin, S. F. Paul Man |
Abstract |
Chronic Obstructive Pulmonary Disease (COPD) is an important comorbidity in patients living with human immunodeficiency virus (HIV). Previous bacterial microbiome studies have shown increased abundance of specific bacterium, like Tropheryma whipplei, and no overall community differences. However, the host response to the lung microbiome is unknown in patients infected with HIV. Two bronchial brush samples were obtained from 21 HIV-infected patients. One brush was used for bacterial microbiome analysis using the Illumina MiSeq(TM) platform, while the other was used to evaluate gene expression patterns of the host using the Affymetrix Human Gene ST 2.0 array. Weighted gene co-expression network analysis was used to determine the relationship between the bacterial microbiome and host gene expression response. The Shannon Diversity was inversely related to only one gene expression module (p = 0.02); whereas evenness correlated with five different modules (p ≤ 0.05). After FDR correction only the Firmicutes phylum was significantly correlated with any modules (FDR < 0.05). These modules were enriched for cilia, transcription regulation, and immune response. Specific operational taxonomic units (OTUs), such as OTU4 (Pasteurellaceae), were able to distinguish HIV patients with and without COPD and severe emphysema. These data support the hypothesis that the bacterial microbiome in HIV lungs is associated with specific host immune responses. Whether or not these responses are also seen in non-HIV infected individuals needs to be addressed in future studies. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 9 | 17% |
Student > Master | 9 | 17% |
Student > Ph. D. Student | 6 | 12% |
Other | 3 | 6% |
Professor > Associate Professor | 3 | 6% |
Other | 7 | 13% |
Unknown | 15 | 29% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 12 | 23% |
Biochemistry, Genetics and Molecular Biology | 7 | 13% |
Agricultural and Biological Sciences | 7 | 13% |
Immunology and Microbiology | 6 | 12% |
Computer Science | 2 | 4% |
Other | 1 | 2% |
Unknown | 17 | 33% |