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Abstract：
BACKGROUND: Dysbiosis during childhood impacts the configuration and maturation of the microbiota. The immaturity of the infant microbiota is linked with the development of inflammatory, allergic, and dysmetabolic diseases.
OBJECTIVE: To identify taxonomic changes associated with age and GDM and classify the maturity of the intestinal microbiota of children of mothers with GDM and children without GDM (n-GDM).
METHODS: Next-generation sequencing was used to analyze the V3-V4 region of 16S rRNA gene. QIIME2 and Picrust2 were used to determine the difference in the relative abundance of bacterial genera between the study groups and to predict the functional profile of the intestinal microbiota.
RESULTS: According to age, the older GDM groups showed a lower alpha diversity and different abundance of Enterobacteriaceae, Veillonella, Clostridiales, and Bacteroides. Regarding the functional profile, PWY-7377 and K05895 associated with Vitamin B12 metabolism were reduced in GDM groups. Compared to n-GDM group, GDM offspring had microbiota immaturity as age-discriminatory taxa in random forest failed to classify GDM offspring according to developmental age (OOB error 81%). Conclusion. Offspring from mothers with GDM have a distinctive taxonomic profile related to taxa associated with gut microbiota immaturity.
OBJECTIVE: To identify taxonomic changes associated with age and GDM and classify the maturity of the intestinal microbiota of children of mothers with GDM and children without GDM (n-GDM).
METHODS: Next-generation sequencing was used to analyze the V3-V4 region of 16S rRNA gene. QIIME2 and Picrust2 were used to determine the difference in the relative abundance of bacterial genera between the study groups and to predict the functional profile of the intestinal microbiota.
RESULTS: According to age, the older GDM groups showed a lower alpha diversity and different abundance of Enterobacteriaceae, Veillonella, Clostridiales, and Bacteroides. Regarding the functional profile, PWY-7377 and K05895 associated with Vitamin B12 metabolism were reduced in GDM groups. Compared to n-GDM group, GDM offspring had microbiota immaturity as age-discriminatory taxa in random forest failed to classify GDM offspring according to developmental age (OOB error 81%). Conclusion. Offspring from mothers with GDM have a distinctive taxonomic profile related to taxa associated with gut microbiota immaturity.
摘要：
背景：儿童期菌群失调会影响微生物群的配置和成熟。婴儿微生物群的不成熟与炎症的发展有关，过敏,和代谢异常疾病。
目的：确定与年龄和GDM相关的分类变化，并对GDM母亲和无GDM（n-GDM）儿童的肠道菌群成熟度进行分类。
方法：使用下一代测序分析16SrRNA基因的V3-V4区。QIIME2和Picrust2用于确定研究组之间细菌属相对丰度的差异，并预测肠道微生物群的功能概况。
结果：根据年龄，较老的GDM组显示较低的α多样性和不同丰度的肠杆菌科，Veillonella,梭菌,和拟杆菌。关于功能概况，在GDM组中,与维生素B12代谢相关的PWY-7377和K05895降低。与n-GDM组相比，GDM后代的微生物群不成熟，因为随机森林中的年龄歧视分类单元未能根据发育年龄对GDM后代进行分类（OOB错误81％）。结论。GDM母亲的后代具有与肠道微生物群不成熟相关的分类群相关的独特分类学特征。
目的：确定与年龄和GDM相关的分类变化，并对GDM母亲和无GDM（n-GDM）儿童的肠道菌群成熟度进行分类。
方法：使用下一代测序分析16SrRNA基因的V3-V4区。QIIME2和Picrust2用于确定研究组之间细菌属相对丰度的差异，并预测肠道微生物群的功能概况。
结果：根据年龄，较老的GDM组显示较低的α多样性和不同丰度的肠杆菌科，Veillonella,梭菌,和拟杆菌。关于功能概况，在GDM组中,与维生素B12代谢相关的PWY-7377和K05895降低。与n-GDM组相比，GDM后代的微生物群不成熟，因为随机森林中的年龄歧视分类单元未能根据发育年龄对GDM后代进行分类（OOB错误81％）。结论。GDM母亲的后代具有与肠道微生物群不成熟相关的分类群相关的独特分类学特征。
