Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada.
Division of Gastroenterology, Department of Pediatrics, IWK Health Centre, Halifax, NS, Canada.
Front Cell Infect Microbiol. 2019 Feb 19;9:28. doi: 10.3389/fcimb.2019.00028. eCollection 2019.
Acute lymphoblastic leukemia is the most common pediatric cancer. Fortunately, survival rates exceed 90%, however, infectious complications remain a significant issue that can cause reductions in the quality of life and prognosis of patients. Recently, numerous studies have linked shifts in the gut microbiome composition to infection events in various hematological malignances including acute lymphoblastic leukemia (ALL). These studies have been limited to observing broad taxonomic changes using 16S rRNA gene profiling, while missing possible differences within microbial functions encoded by individual species. In this study we present the first combined 16S rRNA gene and metagenomic shotgun sequencing study on the gut microbiome of an independent pediatric ALL cohort during treatment. In this study we found distinctive differences in alpha diversity and beta diversity in samples from patients with infectious complications in the first 6 months of therapy. We were also able to find specific species and functional pathways that were significantly different in relative abundance between samples that came from patients with infectious complications. Finally, machine learning models based on patient metadata and bacterial species were able to classify samples with high accuracy (84.09%), with bacterial species being the most important classifying features. This study strengthens our understanding of the association between infection and pediatric acute lymphoblastic leukemia treatment and warrants further investigation in the future.
急性淋巴细胞白血病是最常见的儿科癌症。幸运的是,存活率超过 90%,然而,感染并发症仍然是一个严重的问题,会降低患者的生活质量和预后。最近,许多研究将肠道微生物组组成的变化与各种血液恶性肿瘤(包括急性淋巴细胞白血病)的感染事件联系起来。这些研究仅限于使用 16S rRNA 基因谱观察广泛的分类变化,而忽略了个别物种所编码的微生物功能可能存在的差异。在这项研究中,我们展示了第一个关于治疗期间独立儿科急性淋巴细胞白血病队列的肠道微生物组的 16S rRNA 基因和宏基因组鸟枪法测序的联合研究。在这项研究中,我们发现治疗的前 6 个月有感染并发症的患者的样本在 alpha 多样性和 beta 多样性方面存在显著差异。我们还能够发现相对丰度在有感染并发症的患者样本之间存在显著差异的特定物种和功能途径。最后,基于患者元数据和细菌物种的机器学习模型能够以很高的准确性(84.09%)对样本进行分类,其中细菌物种是最重要的分类特征。这项研究加强了我们对感染与儿科急性淋巴细胞白血病治疗之间关联的理解,并为未来的进一步研究提供了依据。