Department of Statistics, Rice University, Houston, Texas, USA.
Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
mSphere. 2020 Apr 15;5(2):e00048-20. doi: 10.1128/mSphere.00048-20.
Although the term "microbiome" refers to all microorganisms, the majority of microbiome studies focus on the bacteriome. Here, we characterize the oral mycobiome, including mycobiome-bacteriome interactions, in the setting of remission-induction chemotherapy (RIC) for acute myeloid leukemia (AML). Oral samples ( = 299) were prospectively collected twice weekly from 39 AML patients during RIC until neutrophil recovery. Illumina MiSeq 16S rRNA gene (V4) and internal transcribed spacer 2 (ITS2) sequencing were used to determine bacterial and fungal diversity and community composition. Intrakingdom and interkingdom network connectivity at baseline (T1) and at midpoint (T3) and a later time point (T6) were assessed via SPIEC-EASI (arse nversovariance estimation for cological sociation nference). In this exploratory study, mycobiome α-diversity was not significantly associated with antibiotic or antifungal receipt. However, postchemotherapy mycobiome α-diversity was lower in subjects receiving high-intensity chemotherapy. Additionally, greater decreases in levels were seen over time among patients on high-intensity RIC compared to low-intensity RIC ( = 0.003). A significantly higher relative abundance of was found among patients who had infection ( = 0.008), while a significantly higher relative abundance of was found among patients who did not get an infection ( = 0.03). Analyses of intrakingdom and interkingdom relationships at T1, T3, and T6 indicated that interkingdom connectivity increased over the course of IC as bacterial α-diversity diminished. In (to our knowledge) the first longitudinal mycobiome study performed during AML RIC, we found that mycobiome-bacteriome interactions are highly dynamic. Our study data suggest that inclusion of mycobiome analysis in the design of microbiome studies may be necessary to optimally understand the ecological and functional role of microbial communities in clinical outcomes. This report highlights the importance of longitudinal, parallel characterization of oral fungi and bacteria in order to better elucidate the dynamic changes in microbial community structure and interkingdom functional interactions during the injury of chemotherapy and antibiotic exposure as well as the clinical consequences of these interrelated alterations.
虽然“微生物组”一词是指所有微生物,但大多数微生物组研究都集中在细菌组上。在这里,我们描述了急性髓系白血病(AML)缓解诱导化疗(RIC)期间口腔真菌组的特征,包括真菌组-细菌组的相互作用。前瞻性地从 39 名 AML 患者的口腔样本中收集( = 299),每周两次,从 RIC 开始,直到中性粒细胞恢复。Illumina MiSeq 16S rRNA 基因(V4)和内部转录间隔区 2(ITS2)测序用于确定细菌和真菌的多样性和群落组成。通过 SPIEC-EASI(用于生态关联推断的方差估计)评估基线(T1)、中点(T3)和稍后时间点(T6)的种内和种间网络连通性。在这项探索性研究中,抗真菌药或抗真菌药的使用与真菌组 α-多样性无显著相关性。然而,接受高强度化疗的患者化疗后真菌组 α-多样性较低。此外,与接受低强度 RIC 的患者相比,高强度 RIC 患者的水平随时间的推移而降低( = 0.003)。感染患者的相对丰度显著较高( = 0.008),而未感染患者的相对丰度显著较高( = 0.03)。在 T1、T3 和 T6 时的种内和种间关系分析表明,随着细菌 α-多样性的减少,IC 过程中种间连通性增加。在(据我们所知)首次在 AML RIC 期间进行的纵向真菌组研究中,我们发现真菌组-细菌组相互作用是高度动态的。我们的研究数据表明,在微生物组研究的设计中纳入真菌组分析可能是必要的,以最佳理解微生物群落的生态和功能作用在临床结果中的作用。本报告强调了纵向、平行描述口腔真菌和细菌的重要性,以便更好地阐明在化疗和抗生素暴露引起的损伤过程中微生物群落结构和种间功能相互作用的动态变化,以及这些相互关联的变化的临床后果。