Department of Pediatrics, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
mSphere. 2022 Jun 29;7(3):e0010422. doi: 10.1128/msphere.00104-22. Epub 2022 Apr 28.
Nontuberculous mycobacterial (NTM) pulmonary infections in people with cystic fibrosis (CF) are associated with significant morbidity and mortality and are increasing in prevalence. Host risk factors for NTM infection in CF are largely unknown. We hypothesize that the airway microbiota represents a host risk factor for NTM infection. In this study, 69 sputum samples were collected from 59 people with CF; 42 samples from 32 subjects with NTM infection (14 samples collected before incident NTM infection and 28 samples collected following incident NTM infection) were compared to 27 samples from 27 subjects without NTM infection. Sputum samples were analyzed with 16S rRNA gene sequencing and metabolomics. A supervised classification and correlation analysis framework (sparse partial least-squares discriminant analysis [sPLS-DA]) was used to identify correlations between the microbial and metabolomic profiles of the NTM cases compared to the NTM-negative controls. Several metabolites significantly differed in the NTM cases compared to controls, including decreased levels of tryptophan-associated and branched-chain amino acid metabolites, while compounds involved in phospholipid metabolism displayed increased levels. When the metabolome and microbiome data were integrated by sPLS-DA, the models and component ordinations showed separation between the NTM and control samples. While this study could not determine if the observed differences in sputum metabolites between the cohorts reflect metabolic changes that occurred as a result of the NTM infection or metabolic features that contributed to NTM acquisition, it is hypothesis generating for future work to investigate host and bacterial community factors that may contribute to NTM infection risk in CF. Host risk factors for nontuberculous mycobacterial (NTM) infection in people with cystic fibrosis (CF) are largely unclear. The goal of this study was to help identify potential host and bacterial community risk factors for NTM infection in people with CF, using microbiome and metabolome data from CF sputum samples. The data obtained in this study identified several metabolic profile differences in sputum associated with NTM infection in CF, including 2-methylcitrate/homocitrate and selected ceramides. These findings represent potential risk factors and therapeutic targets for preventing and/or treating NTM infections in people with CF.
非结核分枝杆菌(NTM)肺部感染在囊性纤维化(CF)患者中与显著的发病率和死亡率相关,且其患病率正在增加。CF 患者发生 NTM 感染的宿主危险因素在很大程度上尚不清楚。我们假设气道微生物组代表 NTM 感染的宿主危险因素。在这项研究中,从 59 名 CF 患者中采集了 69 份痰样本;42 份来自 32 名 NTM 感染患者(14 份在发生 NTM 感染前采集,28 份在发生 NTM 感染后采集)的样本与 27 名无 NTM 感染患者的 27 份样本进行了比较。使用 16S rRNA 基因测序和代谢组学分析痰样本。使用监督分类和相关性分析框架(稀疏偏最小二乘判别分析[sPLS-DA])来识别与 NTM 阴性对照相比,NTM 病例的微生物和代谢组学特征之间的相关性。与对照组相比,NTM 病例中的几种代谢物显著不同,包括色氨酸相关和支链氨基酸代谢物水平降低,而参与磷脂代谢的化合物水平升高。当通过 sPLS-DA 将代谢组学和微生物组数据整合时,模型和成分排序显示 NTM 和对照样本之间的分离。虽然本研究无法确定队列之间痰代谢物的观察差异是否反映了 NTM 感染导致的代谢变化,还是导致 NTM 获得的代谢特征,但这为进一步研究可能导致 CF 患者 NTM 感染风险的宿主和细菌群落因素提供了假设。CF 患者发生非结核分枝杆菌(NTM)感染的宿主危险因素在很大程度上尚不清楚。本研究的目的是使用 CF 痰样本的微生物组和代谢组学数据,帮助确定 CF 患者 NTM 感染的潜在宿主和细菌群落危险因素。本研究获得的数据确定了与 CF 中 NTM 感染相关的痰代谢谱的几个差异,包括 2-甲基柠檬酸/柠檬酸和选定的神经酰胺。这些发现代表了预防和/或治疗 CF 患者 NTM 感染的潜在风险因素和治疗靶点。