We compared the bacterial microbiomes lodged in the bronchial tree, oropharynx and nose of patients with early stage cystic fibrosis (CF) not using chronic antibiotics, determining their relationships with lung function and exacerbation frequency. CF patients were enrolled in a cohort study during stability and were checked regularly over the following 9 months. Upper respiratory samples (sputum [S], oropharyngeal swab [OP] and nasal washing [N]) were collected at the first visit and every 3 months. 16S rRNA gene amplification and sequencing was performed and analyzed with QIIME. Seventeen CF patients were enrolled (16.6 SD 9.6 years). Alpha-diversity of bacterial communities between samples was significantly higher in S than in OP (Shannon index median 4.6 [IQR: 4.1-4.9] vs. 3.7 [IQR: 3-1-4.1], = 0.003/Chao 1 richness estimator median 97.75 [IQR: 85.1-110.9] vs. 43.9 [IQR: 31.7-59.9], = 0.003) and beta-diversity analysis also showed significant differences in the microbial composition of both respiratory compartments (Adonis test of Bray Curtis dissimilarity matrix, = 0.001). Dominant taxa were found at baseline in five patients (29.4%), who showed lower forced expiratory volume in the first second (FEV1%, mean 74.8 [SD 19] vs. 97.2 [SD 17.8], = 0.035, Student test). The genus had low RAs in most samples (median 0.26% [IQR 0.01-0.69%]), but patients with RA > 0.26% of Staphylococcus in bronchial secretions suffered more exacerbations during follow-up (median 2 [IQR 1-2.25] vs. 0 [0-1], = 0.026. Mann-Whitney U test), due to in more than a half of the cases, microorganism that often persists as bronchial colonized in these patients (9/10 [90%] vs. 2/7 [28.6%], = 0.034, Fisher's exact test). In conclusion, the bronchial microbiome had significantly higher diversity than the microbial flora lodged in the oropharynx in early stage CF. Although the RA of the genus was low in bronchial secretions and did not reach a dominance pattern, slight overrepresentations of this genus was associated with higher exacerbation frequencies in these patients.
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http://dx.doi.org/10.3389/fmicb.2020.01463 | DOI Listing |
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Agata Janowska, MD, Department of Dermatology, , University of Pisa, Via Roma 67, 56126, Pisa, Italy; Phone: +39 050 992436, Fax: +39 050 992556,
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Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
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School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215000, China.
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The use of routine adjuvant radiotherapy (RT) after breast-conserving surgery (BCS) is controversial in elderly patients with early-stage breast cancer (EBC). This study aimed to evaluate the efficacy of adjuvant RT for elderly EBC patients using deep learning (DL) to personalize treatment plans. Five distinct DL models were developed to generate personalized treatment recommendations.
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