产前抑郁对新生儿肠道菌群影响的综合分析。

Wafaa Taha, Oumaima Anachad, Amine Taouil, Chaimaa Saadoune, Mariame El Messal, Faiza Bennis, Fatima Chegdani
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引用次数: 0

摘要

背景:超过15%的妇女在怀孕期间出现抑郁症状,这通常通过改变新生儿的肠道微生物群来影响新生儿的智力和身体发育。先前的研究表明,肠道微生物群在肠-脑轴相关系统的成熟中起着至关重要的作用,包括胃肠道系统、免疫系统和下丘脑-垂体-肾上腺系统轴。方法:本研究旨在探讨产前抑郁过程与新生儿肠道菌群多样性之间的交互作用。从各种科学出版物和数据库中收集了100个与产前抑郁相关的差异表达基因(DEGs)。使用生物信息学工具分析这些deg。STRING数据库。采用ToppGene数据库和DICE进行综合分析。结果:STRING数据库生成的网络确定了6个关键基因:TNF、BDNF、IL-6、NR3C1、IGF2和POMC。这些基因调节对内源性激素的反应,特别是新生儿皮质醇的分泌,以及抑制血清素的分泌。此外,这些基因与重度抑郁症和其他精神疾病有关,导致孕产妇和新生儿肠道微生物群失调。ToppGene和DICE的分析进一步验证了String识别的生物过程,包括细胞皮质醇分泌的调节、代谢过程和血清素抑制。结论:本研究中使用的生物信息学工具使我们能够确定参与产前抑郁的关键基因,其相关的信号通路,以及它们在调节母体和新生儿肠道微生物群中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrative Analysis of the Impact of Prenatal Depression on the Newborn Intestinal Microbiota.

Background: More than 15% of women develop symptoms of depression during pregnancy, which often affects the mental and physical development of the newborn by altering its intestinal microbiota. Previous studies revealed that the gut microbiota plays a crucial role in the maturation of systems involved in the gut-brain axis, including the gastrointestinal system, the immune system, and the hypothalamic-pituitary-adrenal system axis.

Methods: This study aims to explore the cross-talk between the prenatal depression process and neonatal intestinal microbiota diversity. A total of 100 differentially expressed genes (DEGs) associated with prenatal depression were collected from various scientific publications and databases. Bioinformatics tools were used to analyze these DEGs. The STRING database. ToppGene database and DICE were employed for this integrative analysis.

Results: The network generated by the STRING database identified six pivotal genes: TNF, BDNF, IL-6, NR3C1, IGF2, and POMC. These genes regulate response to endogenous hormones, particularly cortisol secretion in newborns, as well as inhibiting serotonin secretion. Moreover, these genes are linked to major depressive disorder and other mental diseases, contributing to maternal and neonatal gut microbiota dysbiosis. Analysis using ToppGene and DICE's further validated the biological processes identified by String, including the regulation of cellular cortisol secretion, metabolic processes, and serotonin inhibition.

Conclusion: The bioinformatics tools employed in this study allowed us to identify pivotal genes involved in prenatal depression, their associated signaling pathways, and their roles in modulating maternal and neonatal gut microbiota.

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