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16S rRNA 和宏基因组鸟枪法测序数据揭示了儿童溃疡性结肠炎肠道微生物组特征的一致模式。

16S rRNA and metagenomic shotgun sequencing data revealed consistent patterns of gut microbiome signature in pediatric ulcerative colitis.

机构信息

Quantitative and Computational Biology Department, University of Southern California, Los Angeles, CA, 90089, USA.

School of Mathematics, Shandong University, Jinan, 250100, Shandong, China.

出版信息

Sci Rep. 2022 Apr 19;12(1):6421. doi: 10.1038/s41598-022-07995-7.

Abstract

Dysbiosis of human gut microbiota has been reported in association with ulcerative colitis (UC) in both children and adults using either 16S rRNA gene or shotgun sequencing data. However, these studies used either 16S rRNA or metagenomic shotgun sequencing but not both. We sequenced feces samples from 19 pediatric UC and 23 healthy children ages between 7 to 21 years using both 16S rRNA and metagenomic shotgun sequencing. The samples were analyzed using three different types of data: 16S rRNA genus level abundance, microbial species and pathway abundance profiles. We demonstrated that (a) the alpha diversity of pediatric UC cases is lower than that of healthy controls; (b) the beta diversity within children with UC is more variable than within the healthy children; (c) several microbial families including Akkermansiaceae, Clostridiaceae, Eggerthellaceae, Lachnospiraceae, and Oscillospiraceae, contain species that are depleted in pediatric UC compared to controls; (d) a few associated species unique to pediatric UC, but not adult UC, were also identified, e.g. some species in the Christensenellaceae family were found to be depleted and some species in the Enterobacteriaceae family were found to be enriched in pediatric UC; and (e) both 16S rRNA and shotgun sequencing data can predict pediatric UC status with area under the receiver operating characteristic curve (AUROC) of close to 0.90 based on cross validation. We showed that 16S rRNA data yielded similar results as shotgun data in terms of alpha diversity, beta diversity, and prediction accuracy. Our study demonstrated that pediatric UC subjects harbor a dysbiotic and less diverse gut microbial population with distinct differences from healthy children. We also showed that 16S rRNA data yielded accurate disease prediction results in comparison to shotgun data, which can be more expensive and laborious. These conclusions were confirmed in an independent data set of 7 pediatric UC cases and 8 controls.

摘要

人类肠道微生物群落的失调与溃疡性结肠炎(UC)有关,这在儿童和成人中均有报道,无论是使用 16S rRNA 基因还是宏基因组测序数据。然而,这些研究使用的是 16S rRNA 或宏基因组测序,但不是两者都用。我们使用 16S rRNA 和宏基因组测序对 19 名儿科 UC 和 23 名年龄在 7 至 21 岁之间的健康儿童的粪便样本进行了测序。这些样本使用三种不同类型的数据进行了分析:16S rRNA 属水平丰度、微生物物种和途径丰度图谱。我们证明了:(a)儿科 UC 病例的α多样性低于健康对照组;(b)UC 儿童的β多样性比健康儿童更具变异性;(c)阿克曼氏菌科、梭菌科、 Eggerthellaceae 科、lachnospiraceae 科和 Oscillospiraceae 科等几个微生物家族包含的物种在儿科 UC 中比对照中减少;(d)还确定了一些与儿科 UC 相关但与成人 UC 无关的特有物种,例如 Christensenellaceae 科的一些物种被耗尽,而肠杆菌科的一些物种在儿科 UC 中被富集;(e)基于交叉验证,16S rRNA 和宏基因组测序数据都可以预测儿科 UC 状态,其受试者工作特征曲线(AUROC)接近 0.90。我们表明,16S rRNA 数据在 α 多样性、β 多样性和预测准确性方面与宏基因组数据产生了相似的结果。我们的研究表明,儿科 UC 患者的肠道微生物群存在失调和多样性降低的现象,与健康儿童有明显的不同。我们还表明,16S rRNA 数据在与宏基因组数据相比,可以更准确地预测疾病,宏基因组数据更昂贵且费力。这些结论在 7 名儿科 UC 病例和 8 名对照的独立数据集上得到了验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ace/9018687/791346766513/41598_2022_7995_Fig1_HTML.jpg

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