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早年生活应激诱导的具有恢复力和共病性肠-脑表型的性别特异性肠道微生物群特征。

Sex specific gut-microbiota signatures of resilient and comorbid gut-brain phenotypes induced by early life stress.

作者信息

Wilmes Lars, Caputi Valentina, Bastiaanssen Thomaz F S, Collins James M, Crispie Fiona, Cotter Paul D, Dinan Timothy G, Cryan John F, Clarke Gerard, O'Mahony Siobhain M

机构信息

APC Microbiome Ireland, University College Cork, Cork, Ireland.

Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland.

出版信息

Neurobiol Stress. 2024 Nov 4;33:100686. doi: 10.1016/j.ynstr.2024.100686. eCollection 2024 Nov.


DOI:10.1016/j.ynstr.2024.100686
PMID:39583744
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11582825/
Abstract

BACKGROUND: Alterations in gut-brain axis communication pathways and the gut microbiota ecosystem caused by early life stress have been extensively described as critical players in the pathophysiology of stress-induced disorders. However, the extent to which stress-induced gut microbiota alterations manifest in early life and contribute to the sex-specific susceptibility to distinct gut-brain phenotypes in adulthood has yet to be defined. METHODS: Male and female Sprague-Dawley rat offspring underwent maternal separation (3h/day from postnatal day 2-12). Faecal samples were collected before weaning for gut microbiota 16S rRNA sequencing and metabolomic analysis. Visceral pain sensitivity and negative valence behaviours were assessed in adulthood using colorectal distension and the forced swim test respectively. Behavioural data were processed in a two-step cluster analysis to identify groupings within the dataset. Multi-omics analysis was carried out to investigate if the microbial signatures following early life stress were already defined according to the membership of the adult behavioural phenotypes. RESULTS: Maternal separation resulted in increased visceral hypersensitivity while showing a trend for a sex-dependent increase in negative valence behaviour in adulthood. The cluster analysis revealed four clusters within the dataset representing distinct pathophysiological domains reminiscent of the behavioural consequences of early-life stress: 1. resilient, 2. pain, 3. immobile and 4. comorbid. The early life gut microbiota of each of these clusters show distinct alterations in terms of diversity, genus level differential abundance, and functional modules. Multi-omic integrations points towards a role for different metabolic pathways underlying each cluster-specific phenotype. CONCLUSION: Our study is the first to identify distinct phenotypes defined by susceptibility or resilience to gut-brain dysfunction induced by early life stress. The gut microbiota in early life shows sex-dependent alterations in each cluster that precede specific behavioural phenotypes in adulthood. Future research is warranted to determine the causal relationship between early-life stress-induced changes in the gut microbiota and to understand the trajectory leading to the manifestation of different behavioural phenotypes in adulthood.

摘要

背景:早期生活应激引起的肠-脑轴通讯通路和肠道微生物群生态系统的改变,已被广泛描述为应激诱导性疾病病理生理学中的关键因素。然而,应激诱导的肠道微生物群改变在生命早期的表现程度,以及对成年期不同肠-脑表型的性别特异性易感性的影响,尚未明确。 方法:对雄性和雌性斯普拉格-道利大鼠后代进行母婴分离(出生后第2天至12天,每天3小时)。在断奶前收集粪便样本,进行肠道微生物群16S rRNA测序和代谢组学分析。成年后分别使用结直肠扩张和强迫游泳试验评估内脏痛敏感性和负性情绪行为。行为数据通过两步聚类分析进行处理,以识别数据集中的分组。进行多组学分析,以研究早期生活应激后的微生物特征是否已根据成年行为表型的类别进行定义。 结果:母婴分离导致成年后内脏超敏反应增加,同时负性情绪行为有性别依赖性增加的趋势。聚类分析在数据集中揭示了四个聚类,代表不同的病理生理领域,让人联想到早期生活应激的行为后果:1. 弹性型,2. 疼痛型,3. 不动型,4. 共病型。这些聚类中每一个的早期生活肠道微生物群在多样性、属水平差异丰度和功能模块方面都表现出明显的改变。多组学整合表明不同的代谢途径在每个聚类特异性表型中发挥作用。 结论:我们的研究首次确定了由对早期生活应激诱导的肠-脑功能障碍的易感性或弹性所定义的不同表型。生命早期的肠道微生物群在每个聚类中表现出性别依赖性改变,这些改变先于成年期特定的行为表型出现。未来有必要进行研究,以确定早期生活应激诱导的肠道微生物群变化之间的因果关系,并了解导致成年期不同行为表型表现的轨迹。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/9867c7c1cf74/mmcfigs3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/cdaf84023b71/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/96b4da14c042/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/434d310c33e5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/e210c9ff08c9/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/c6c03d754b81/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/fb68fa7a400d/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/53ea9e4d471a/mmcfigs1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/a2609ee34a41/mmcfigs2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/9867c7c1cf74/mmcfigs3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/cdaf84023b71/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/96b4da14c042/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/434d310c33e5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/e210c9ff08c9/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/c6c03d754b81/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/fb68fa7a400d/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/53ea9e4d471a/mmcfigs1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/a2609ee34a41/mmcfigs2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe2/11582825/9867c7c1cf74/mmcfigs3.jpg

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[3]
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