Leite Cassiana Costa Ferreira, de Freitas Flavia Alvim Dutra, de Cássia Firmida Mônica, Leão Robson Souza, Albano Rodolpho Mattos, Marques Elizabeth Andrade
Department of Microbiology, Immunology and Parasitology, Faculty of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Department of Chest Diseases, Faculty of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Braz J Microbiol. 2020 Dec;51(4):1747-1755. doi: 10.1007/s42770-020-00381-3. Epub 2020 Sep 17.
The application of next-generation sequencing tools revealed that the cystic fibrosis respiratory tract is a polymicrobial environment. We have characterized the airway bacterial microbiota of five adult patients with cystic fibrosis during a 14-month period by 16S rRNA tag sequencing using the Illumina technology. Microbial diversity, estimated by the Shannon index, varied among patient samples collected throughout the follow-up period. The beta diversity analysis revealed that the composition of the airway microbiota was highly specific for each patient, showing little variation among the samples of each patient analyzed over time. The composition of the bacterial microbiota did not reveal any emerging pathogen predictor of pulmonary disease in cystic fibrosis or of its unfavorable clinical progress, except for unveiling the presence of anaerobic microorganisms, even without any established clinical association. Our results could potentialy help us to translate and develop strategies in response to the pathobiology of this disease, particularly because it represents an innovative approach for CF centers in Brazil.
新一代测序工具的应用表明，囊性纤维化患者的呼吸道是一个多种微生物共存的环境。我们使用Illumina技术通过16S rRNA标签测序对5名成年囊性纤维化患者在14个月期间的气道细菌微生物群进行了特征分析。通过香农指数估计的微生物多样性在整个随访期间收集的患者样本中有所不同。β多样性分析表明，气道微生物群的组成对每位患者具有高度特异性，在对每位患者不同时间分析的样本中变化很小。细菌微生物群的组成未揭示囊性纤维化肺部疾病或其不良临床进展的任何新出现的病原体预测指标，只是揭示了厌氧微生物的存在，即使没有任何已确定的临床关联。我们的结果可能有助于我们针对这种疾病的病理生物学转化和制定应对策略，特别是因为这对巴西的囊性纤维化中心来说是一种创新方法。
