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Profiling the airway in the macaque model of tuberculosis reveals variable microbial dysbiosis and alteration of community structure
by
Flynn, JoAnne L
, Ghedin, Elodie
, Lin, Philana Ling
, Maiello, Pauline
, Cadena, Anthony M
, Ding, Tao
, Bryant, MacKenzie
, Geber, Adam
, Ma, Yixuan
in
16S rRNA gene
/ Abundance
/ Alveoli
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Bronchus
/ Cancer
/ Care and treatment
/ Community structure
/ Computed tomography
/ Cynomolgus macaque
/ Dysbacteriosis
/ Dysbiosis
/ Genomes
/ Immunology
/ Immunoregulation
/ Infections
/ Infectious diseases
/ Inflammation
/ Lung and airway microbiota
/ Lungs
/ Medical imaging
/ Medical Microbiology
/ Microbial Ecology
/ Microbial Genetics and Genomics
/ Microbiology
/ Microbiome
/ Microbiomes
/ Microbiota
/ Microbiota (Symbiotic organisms)
/ Mycobacterium tuberculosis
/ Positron emission tomography
/ Respiratory tract
/ Ribosomal RNA
/ Risk factors
/ Software
/ Tomography
/ Tuberculosis
/ Virology
2018
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Profiling the airway in the macaque model of tuberculosis reveals variable microbial dysbiosis and alteration of community structure
by
Flynn, JoAnne L
, Ghedin, Elodie
, Lin, Philana Ling
, Maiello, Pauline
, Cadena, Anthony M
, Ding, Tao
, Bryant, MacKenzie
, Geber, Adam
, Ma, Yixuan
in
16S rRNA gene
/ Abundance
/ Alveoli
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Bronchus
/ Cancer
/ Care and treatment
/ Community structure
/ Computed tomography
/ Cynomolgus macaque
/ Dysbacteriosis
/ Dysbiosis
/ Genomes
/ Immunology
/ Immunoregulation
/ Infections
/ Infectious diseases
/ Inflammation
/ Lung and airway microbiota
/ Lungs
/ Medical imaging
/ Medical Microbiology
/ Microbial Ecology
/ Microbial Genetics and Genomics
/ Microbiology
/ Microbiome
/ Microbiomes
/ Microbiota
/ Microbiota (Symbiotic organisms)
/ Mycobacterium tuberculosis
/ Positron emission tomography
/ Respiratory tract
/ Ribosomal RNA
/ Risk factors
/ Software
/ Tomography
/ Tuberculosis
/ Virology
2018
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Profiling the airway in the macaque model of tuberculosis reveals variable microbial dysbiosis and alteration of community structure
by
Flynn, JoAnne L
, Ghedin, Elodie
, Lin, Philana Ling
, Maiello, Pauline
, Cadena, Anthony M
, Ding, Tao
, Bryant, MacKenzie
, Geber, Adam
, Ma, Yixuan
in
16S rRNA gene
/ Abundance
/ Alveoli
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Bronchus
/ Cancer
/ Care and treatment
/ Community structure
/ Computed tomography
/ Cynomolgus macaque
/ Dysbacteriosis
/ Dysbiosis
/ Genomes
/ Immunology
/ Immunoregulation
/ Infections
/ Infectious diseases
/ Inflammation
/ Lung and airway microbiota
/ Lungs
/ Medical imaging
/ Medical Microbiology
/ Microbial Ecology
/ Microbial Genetics and Genomics
/ Microbiology
/ Microbiome
/ Microbiomes
/ Microbiota
/ Microbiota (Symbiotic organisms)
/ Mycobacterium tuberculosis
/ Positron emission tomography
/ Respiratory tract
/ Ribosomal RNA
/ Risk factors
/ Software
/ Tomography
/ Tuberculosis
/ Virology
2018
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Profiling the airway in the macaque model of tuberculosis reveals variable microbial dysbiosis and alteration of community structure
Journal Article
Profiling the airway in the macaque model of tuberculosis reveals variable microbial dysbiosis and alteration of community structure
2018
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Overview
Background
The specific interactions of
Mycobacterium tuberculosis
(Mtb), the causative agent of tuberculosis (TB), and the lung microbiota in infection are entirely unexplored. Studies in cancer and other infectious diseases suggest that there are important exchanges occurring between host and microbiota that influence the immunological landscape. This can result in alterations in immune regulation and inflammation both locally and systemically. To assess whether Mtb infection modifies the lung microbiome, and identify changes in microbial abundance and diversity as a function of pulmonary inflammation, we compared infected and uninfected lung lobe washes collected serially from 26 macaques by bronchoalveolar lavage over the course of infection.
Results
We found that Mtb induced an initial increase in lung microbial diversity at 1 month post infection that normalized by 5 months of infection across all macaques. Several core genera showed global shifts from baseline and throughout infection. Moreover, we identified several specific taxa normally associated with the oral microbiome that increased in relative abundance in the lung following Mtb infection, including
SR1
,
Aggregatibacter
,
Leptotrichia
,
Prevotella
, and
Campylobacter
. On an individual macaque level, we found significant heterogeneity in both the magnitude and duration of change within the lung microbial community that was unrelated to lung inflammation and lobe involvement as seen by positron emission tomography/computed tomography (PET/CT) imaging. By comparing microbial interaction networks pre- and post-infection using the predictive algorithm SPIEC-EASI, we observe that extra connections are gained by
Actinomycetales
, the order containing Mtb, in spite of an overall reduction in the number of interactions of the whole community post-infection, implicating Mtb-driven ecological reorganization within the lung.
Conclusions
This study is the first to probe the dynamic interplay between Mtb and host microbiota longitudinally and in the macaque lung. Our findings suggest that Mtb can alter the microbial landscape of infected lung lobes and that these interactions induce dysbiosis that can disrupt oral-airway boundaries, shift overall lung diversity, and modulate specific microbial relationships. We also provide evidence that this effect is heterogeneous across different macaques. Overall, however, the changes to the airway microbiota after Mtb infection were surprisingly modest, despite a range of Mtb-induced pulmonary inflammation in this cohort of macaques.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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