产后抑郁对子代6月龄肠道菌群的影响
Effect of postnatal depressive symptoms on gut microbiota of the offspring aged 6 months
陈香旭 1范肖肖 1臧恬滋 1曹亚男 1刘燕群1
作者信息
- 1. 武汉大学护理学院 湖北 武汉 430071
- 折叠
摘要
目的:探讨产后抑郁对子代6月龄肠道菌群多样性与组成的影响.方法:在已建立的母婴队列中筛选出13例患有产后抑郁的产妇和25例未患产后抑郁的产妇,采用MiSeq高通量测序技术对其子代6月龄粪便样本中16S rRNA基因V3-V4区序列进行测序,分析抑郁组与对照组子代肠道菌群样本间的多样性和组成差异,采用多元线性回归分析子代6月龄肠道菌群的影响因素.结果:抑郁组与对照组子代6月龄肠道菌群多样性之间无显著差异,在菌群组成上,拟杆菌(Bacteroides)、类杆菌(Bacteroidaceae)、Megamonas、芽孢杆菌(Bacillaceae)、Acidaminococcaceae等在两组之间存在明显差异.产后抑郁与子代6月龄肠道菌群的芽孢杆菌属(Bacillus)呈正相关.结论:母亲产后抑郁症状会显著影响子代6月龄的肠道菌群,管理产后抑郁症状可能有助于子代肠道菌群的建立与稳定.
Abstract
Objective:To explore the impact of postpartum depression on the diversity and composition of the gut microbiota of the offspring aged 6 months.Methods:Thirteen mothers with postpartum de-pression and 25 mothers without postpartum depression were selected from the established mother-infant cohort.MiSeq high-throughput sequencing technology was used to sequence the 16S rRNA gene V3-V4 region in fecal samples of their offspring aged 6 months and to analyze the diversity and composition of infant gut microbiota between the depression group and the control group.Multi-ple linear regression was used to analyze the factors affecting the gut microbiota of offspring.Results:There was no significant difference in the diversity of 6-month-old infant gut microbiota between the depression group and control group,in terms of gut microbiota composition.Bacteroides,Bacteroida-ceae,Megamonas,Bacillaceae,and Acidaminococcaceae were significantly different between the two groups.Postpartum depression was positively associated with Bacillus in the gut microbiota of the offspring at 6 months of age.Conclusion:Maternal postnatal depression significantly impacts the gut microbiota of the offspring aged 6 months,and management of postnatal depression may contrib-ute to the establishment and stability of the offspring's gut microbiota.
关键词
产后抑郁/肠道菌群/高通量测序/子代Key words
Postpartum Depression/Gut Microbiota/High-Throughput Sequencing/Offspring引用本文复制引用
基金项目
国家自然科学基金资助项目(81903334)
出版年
2024
NETL
NSTL
万方数据