WS18.1 Cystic fibrosis airway microbiota associated with outcomes of nontuberculous mycobacterial infection

2020 ◽  
Vol 19 ◽  
pp. S30
Author(s):  
L. Caverly ◽  
M. Zimbric ◽  
M. Azar ◽  
K. Opron ◽  
J. Lipuma
2005 ◽  
Vol 40 (1) ◽  
pp. 39-44 ◽  
Author(s):  
Charles R. Esther ◽  
Marianna M. Henry ◽  
Paul L. Molina ◽  
Margaret W. Leigh

2021 ◽  
Vol 20 ◽  
pp. S220-S221
Author(s):  
P. Breen ◽  
J. Rothman ◽  
L. Kalikin ◽  
J. LiPuma ◽  
L. Caverly

2019 ◽  
Vol 55 (2) ◽  
pp. 521-525
Author(s):  
Stacey L. Martiniano ◽  
Charles R. Esther ◽  
Charles S. Haworth ◽  
Shannon H. Kasperbauer ◽  
Edith T. Zemanick ◽  
...  

2008 ◽  
Vol 44 (12) ◽  
pp. 679-684 ◽  
Author(s):  
Rosa M. Girón ◽  
Luis Máiz ◽  
Isabel Barrio ◽  
M. Teresa Martínez ◽  
Antonio Salcedo ◽  
...  

2021 ◽  
pp. 00578-2020
Author(s):  
Lindsay J. Caverly ◽  
Madsen Zimbric ◽  
Michelle Azar ◽  
Kristopher Opron ◽  
John J. LiPuma

RationalePulmonary infections with nontuberculous mycobacteria (NTM) are increasingly prevalent in people with cystic fibrosis (CF). Clinical outcomes following NTM acquisition are highly variable, ranging from transient self-resolving infection to NTM pulmonary disease associated with significant morbidity. Relationships between airway microbiota and variability of NTM outcomes in CF are unclear.ObjectiveIdentify features of CF airway microbiota associated with outcomes of NTM infection.MethodsOne-hundred eighty-eight sputum samples, obtained from 24 subjects with CF, each with three or more samples collected from 3.5 years prior to, and up to 6 months following incident NTM infection, were selected from a sample repository. Sputum DNA underwent bacterial 16S rRNA gene sequencing. Airway microbiota were compared based on the primary outcome, a diagnosis of NTM pulmonary disease, using Wilcoxon rank-sum testing, autoregressive integrated moving average modeling, and network analyses.Measurements and Main ResultsSubjects with and without NTM pulmonary disease were similar in clinical characteristics, including age and lung function at the time of incident NTM infection. Time series analyses of sputum samples prior to incident NTM infection identified positive correlations between Pseudomonas, Streptococcus, Veillonella, Prevotella, and Rothia with diagnosis of NTM pulmonary disease, and with persistent NTM infection. Network analyses identified differences in clustering of taxa between subjects with and without NTM pulmonary disease, and between subjects with persistent versus transient NTM infection.ConclusionsCF airway microbiota prior to incident NTM infection are associated with subsequent outcomes, including diagnosis of NTM pulmonary disease, and persistence of NTM infection. Associations between airway microbiota and NTM outcomes represent targets for validation as predictive markers and for future therapies.


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