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探讨重度抑郁症患者肠道微生物群与粪便 microRNAs 的关系。

Exploration of the relationship between gut microbiota and fecal microRNAs in patients with major depressive disorder.

机构信息

Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, 100, Taiwan.

Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, 350, Taiwan.

出版信息

Sci Rep. 2022 Dec 5;12(1):20977. doi: 10.1038/s41598-022-24773-7.

Abstract

Microbiota-gut-brain axis signaling plays a pivotal role in mood disorders. The communication between the host and the gut microbiota may involve complex regulatory networks. Previous evidence showed that host-fecal microRNAs (miRNAs) interactions partly shaped gut microbiota composition. We hypothesized that some miRNAs are correlated with specific bacteria in the fecal samples in patients with major depressive disorder (MDD), and these miRNAs would show enrichment in pathways associated with MDD. MDD patients and healthy controls were recruited to collect fecal samples. We performed 16S ribosome RNA sequence using the Illumina MiSeq sequencers and analysis of 798 fecal miRNAs using the nCounter Human-v2 miRNA Panel in 20 subjects. We calculated the Spearman correlation coefficient for bacteria abundance and miRNA expressions, and analyzed the predicted miRNA pathways by enrichment analysis with false-discovery correction (FDR). A total of 270 genera and 798 miRNAs were detected in the fecal samples. Seven genera (Anaerostipes, Bacteroides, Bifidobacterium, Clostridium, Collinsella, Dialister, and Roseburia) had fold changes greater than one and were present in over 90% of all fecal samples. In particular, Bacteroides and Dialister significantly differed between the MDD and control groups (p-value < 0.05). The correlation coefficients between the seven genera and miRNAs in patients with MDD showed 48 pairs of positive correlations and 36 negative correlations (p-value < 0.01). For miRNA predicted functions, there were 57 predicted pathways with a p-value < 0.001, including MDD-associated pathways, axon guidance, circadian rhythm, dopaminergic synapse, focal adhesion, long-term potentiation, and neurotrophin signaling pathway. In the current pilot study, our findings suggest specific genera highly correlated with the predicted miRNA functions, which might provide clues for the interaction between host factors and gut microbiota via the microbiota-gut-brain axis. Follow-up studies with larger sample sizes and refined experimental design are essential to dissect the roles between gut microbiota and miRNAs for depression.

摘要

微生物群-肠-脑轴信号在情绪障碍中起着关键作用。宿主与肠道微生物群之间的通信可能涉及复杂的调控网络。先前的证据表明,宿主-粪便 microRNAs(miRNAs)相互作用部分塑造了肠道微生物群的组成。我们假设在重度抑郁症(MDD)患者的粪便样本中,一些 miRNAs 与特定细菌相关,这些 miRNAs 在与 MDD 相关的途径中表现出富集。招募 MDD 患者和健康对照者收集粪便样本。我们使用 Illumina MiSeq 测序仪进行 16S 核糖体 RNA 序列分析,使用 nCounter Human-v2 miRNA 面板分析 798 个粪便 miRNA,在 20 名受试者中进行分析。我们计算了细菌丰度和 miRNA 表达之间的 Spearman 相关系数,并通过错误发现率校正(FDR)进行富集分析分析预测的 miRNA 途径。在粪便样本中检测到 270 个属和 798 个 miRNA。有 7 个属(拟杆菌属、双歧杆菌属、梭菌属、柯林斯氏菌属、迪氏杆菌属、罗氏菌属和玫瑰杆菌属)的丰度变化大于 1,并且存在于超过 90%的所有粪便样本中。特别是,MDD 组和对照组之间的拟杆菌属和迪氏杆菌属有显著差异(p 值<0.05)。MDD 患者的 7 个属与 miRNA 之间的相关系数显示有 48 对正相关和 36 对负相关(p 值<0.01)。对于 miRNA 预测功能,有 57 个预测途径的 p 值<0.001,包括与 MDD 相关的途径、轴突导向、昼夜节律、多巴胺能突触、黏附斑、长时程增强和神经营养素信号通路。在当前的初步研究中,我们的发现表明特定的属与预测的 miRNA 功能高度相关,这可能为通过微生物群-肠-脑轴研究宿主因素与肠道微生物群的相互作用提供线索。未来需要更大样本量和更精细实验设计的研究来剖析肠道微生物群和 miRNA 在抑郁症中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/870b/9722658/63f16f108fa1/41598_2022_24773_Fig1_HTML.jpg

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