马拉维农村儿童发病率和肠道菌群的前瞻性研究。

Emma Kortekangas, Rebecca T. Young, Y. Cheung, Yue-Mei Fan, J. Jorgensen, A. Kamng’ona, D. Chaima, U. Ashorn, K. Dewey, K. Maleta, P. Ashorn
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引用次数: 9

摘要

目的肠道菌群组成的决定因素及其对常见儿童疾病的影响仅部分被了解,特别是在低收入环境中。本研究的目的是调查发病率是否能预测马拉维儿童的肠道微生物群组成,以及微生物群是否能预测随后的发病率。我们检验了一种假设,即常见的传染病症状可以预测较低的微生物群成熟度和多样性。方法:我们使用631名随机对照营养干预试验参与者的数据,在该试验中,为怀孕和哺乳期母亲及其6至18个月大的孩子提供少量基于脂质的营养补充剂。在6、12、18和30个月大的儿童中收集粪便样本,并使用16S rRNA测序进行分析。微生物群变量包括微生物群多样性(Shannon指数)、微生物群成熟度(微生物群年龄z分数)和分类群相对丰度。发病变量包括胃肠道、呼吸道症状和发热。结果11 ~ 12个月腹泻和呼吸道症状分别预示着较低的年龄微生物群z评分和较高的Shannon指数(P = 0.035和P = 0.023)。样品采集前的发病率可预测各时间点几种细菌分类群的相对丰度。6个月时较高的微生物群成熟度和多样性预示着随后6个月的发热发生率较低(P = 0.007和P = 0.031)。结论:我们的研究结果一般不支持发病率预测马拉维农村儿童肠道微生物群成熟度或多样性随后下降的假设。某些发病症状可能预示着微生物群的成熟度、多样性和几种细菌分类群的相对丰度。此外,微生物群的多样性和成熟度可能与随后的发热发生率有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Prospective Study on Child Morbidity and Gut Microbiota in Rural Malawi.
OBJECTIVES The determinants of gut microbiota composition and its effects on common childhood illnesses are only partly understood, especially in low-income settings. The aim of the present study was to investigate whether morbidity predicts gut microbiota composition in Malawian children and whether microbiota predicts subsequent morbidity. We tested the hypothesis that common infectious disease symptoms would be predictive of lower microbiota maturity and diversity. METHODS We used data from 631 participants in a randomized-controlled nutrition intervention trial, in which a small-quantity lipid-based nutrient supplement was provided to pregnant and lactating mothers and their children at 6 to 18 months of age. Fecal samples were collected from the children at 6, 12, 18, and 30 months of age and analyzed using 16S rRNA sequencing. Microbiota variables consisted of measures of microbiota diversity (Shannon Index), microbiota maturity (microbiota-for-age z score), and the relative abundances of taxa. Morbidity variables included gastrointestinal and respiratory symptoms and fever. RESULTS Diarrhea and respiratory symptoms from 11 to 12 months were predictive of lower microbiota-for-age z score and higher Shannon Index, respectively (P = 0.035 and P = 0.023). Morbidity preceding sample collection was predictive of the relative abundances of several bacterial taxa at all time points. Higher microbiota maturity and diversity at 6 months were predictive of a lower incidence rate of fever in the subsequent 6 months (P = 0.007 and P = 0.031). CONCLUSIONS Our findings generally do not support the hypothesis that morbidity prevalence predicts a subsequent decrease in gut microbiota maturity or diversity in rural Malawian children. Certain morbidity symptoms may be predictive of microbiota maturity and diversity and relative abundances of several bacterial taxa. Furthermore, microbiota diversity and maturity may be associated with the subsequent incidence of fever.
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