Bai Lu, Zhou Panpan, Li Dong, Ju Xiuli
Department of Pediatrics, Qilu Hospital of Shandong University, Jinan 250012, PR China.
Cryomedicine Lab, Qilu Hospital of Shandong University, Jinan 250012, PR China.
J Med Microbiol. 2017 Sep;66(9):1297-1307. doi: 10.1099/jmm.0.000568.
To detect the alteration of gut bacteria in children with ALL and analyse the impact of short-term-use of antibiotics on the changes caused by ALL. We collected faecal samples from both children with ALL and healthy children. According to their medication history with antibiotics, we classified the samples into ALL+ATBx, ALL, CON+ATBx and CON groups. Next-generation sequencing was performed to identify the gut bacteria according to the MiSeq platform. The Shannon index, Simpson index, Chao index and Ace index were used to represent the alpha diversity of gut bacteria. The beta diversity was estimated using the principles of co-ordinate analysis and non-metric multi-dimensional scaling. The taxon composition and presence of biomarkers were then determined through bioinformatics. With regard to alpha diversity, the Shannon index and Simpson index differed significantly between the ALL and CON groups, as well as the CON+ATBx and CON groups, but not the ALL+ATBx and CON+ATBx groups. With regard to beta diversity, the ALL and CON separated clearly into clusters, as did ALL+ATBx and CON+ATBx. There were differences in composition among the four groups at different taxonomy hierarchies. More bacteria showed an obvious difference between the paired groups ALL and CON than did for the paired groups ALL+ATBx and CON+ATBx. The area under the receiver operating characteristic curves for and used to predict ALL were 0.735 and 0.724, respectively. ALL induced structural changes of the gut microbiota, with the alpha diversity being significantly weakened by antibiotics, but not beta diversity. and can be referred to as biomarkers for ALL.
为检测急性淋巴细胞白血病(ALL)患儿肠道细菌的变化,并分析短期使用抗生素对ALL所致变化的影响。我们收集了ALL患儿和健康儿童的粪便样本。根据他们使用抗生素的用药史,将样本分为ALL+ATBx组、ALL组、CON+ATBx组和CON组。采用二代测序技术,根据MiSeq平台鉴定肠道细菌。使用香农指数、辛普森指数、 Chao指数和Ace指数来表示肠道细菌的α多样性。利用坐标分析和非度量多维标度原理估计β多样性。然后通过生物信息学确定分类群组成和生物标志物的存在情况。关于α多样性,ALL组与CON组之间、CON+ATBx组与CON组之间的香农指数和辛普森指数存在显著差异,但ALL+ATBx组与CON+ATBx组之间无显著差异。关于β多样性,ALL组和CON组明显聚为不同簇,ALL+ATBx组和CON+ATBx组也是如此。在不同分类层次上,四组之间的组成存在差异。与ALL+ATBx组和CON+ATBx组这对配对组相比,ALL组和CON组这对配对组之间有更多细菌表现出明显差异。用于预测ALL的受试者工作特征曲线下面积分别为0.735和0.724。ALL诱导肠道微生物群的结构变化,抗生素显著削弱了α多样性,但未削弱β多样性。 和 可作为ALL的生物标志物。