肠道微生物菌群失调与老年大鼠中风严重程度标志物相关。

Frontiers in stroke Pub Date : 2022-01-01 Epub Date: 2022-12-21 DOI:10.3389/fstro.2022.1026066
Tyler C Hammond, Sarah Messmer, Jacqueline A Frank, Doug Lukins, Rita Colwell, Ai-Ling Lin, Keith R Pennypacker
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引用次数: 0

摘要

背景:研究表明,中风后会出现肠道微生物群落失衡或菌群失调。这种菌群失调可能会对中风的恢复和康复产生负面影响。需要对中风后的肠道微生物群进行物种水平分辨率测量,以开发和测试精准干预措施,如针对肠道微生物群的益生菌或粪便微生物群移植疗法。之前的研究使用 16S rRNA 扩增子测序法对年轻雄性小鼠进行了测序,获得了中风后肠道微生物组属水平的广泛图谱,但还需要对老年雌雄大鼠进行全基因组霰弹枪测序,以在模型中获得物种水平的分辨率,从而更好地转化为人类中风患者的人口统计学特征:方法:39 只雌雄老年大鼠接受了大脑中动脉闭塞治疗。中风前和中风后 3 天收集粪便样本,测量肠道微生物组。使用机器学习识别中风后发生变化的排名靠前的细菌。利用核磁共振成像获取梗死和水肿大小以及脑血流量(CBF)。用酶联免疫吸附法检测炎症标志物:结果:菌群失调表现为致病菌的增加,如丁酸杆菌(15.52 倍变化,p < 0.0001)、硫杆菌(7.36 倍变化,p < 0.0001)和大肠杆菌(47.67 倍变化,p < 0.0001)。这些细菌与梗死和水肿大小以及炎症标志物 Ccl19、Ccl24、IL17a、IL3 和补体 C5 呈正相关;与 CBF 呈负相关。相反,有益菌如 Ruminococcus flavefaciens(0.14 倍的变化,p < 0.0001)、Akkermansia muciniphila(0.78 倍的变化,p < 0.0001)和 Lactobacillus murinus(0.40 倍的变化,p < 0.0001)在中风后减少,并与之前的所有参数相关,方向与致病菌相反。两性之间的微生物组差异不明显:结论:本文发现的物种水平分辨率测量结果可作为开发和测试针对中风后肠道微生物组的精准干预措施的基础。应开发包括 Ruminococcus flavefaciens、Akkermansia muciniphila 和 Lactobacillus murinus 在内的益生菌,以针对中风后肠道微生物组的缺失,测量其对中风严重程度的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Gut microbial dysbiosis correlates with stroke severity markers in aged rats.

Gut microbial dysbiosis correlates with stroke severity markers in aged rats.

Gut microbial dysbiosis correlates with stroke severity markers in aged rats.

Gut microbial dysbiosis correlates with stroke severity markers in aged rats.

Background: An imbalanced gut microbial community, or dysbiosis, has been shown to occur following stroke. It is possible that this dysbiosis negatively impacts stroke recovery and rehabilitation. Species level resolution measurements of the gut microbiome following stroke are needed to develop and test precision interventions such as probiotic or fecal microbiota transplant therapies that target the gut microbiome. Previous studies have used 16S rRNA amplicon sequencing in young male mice to obtain broad profiling of the gut microbiome at the genus level following stroke, but further investigations will be needed with whole genome shotgun sequencing in aged rats of both sexes to obtain species level resolution in a model which will better translate to the demographics of human stroke patients.

Methods: Thirty-nine aged male and female rats underwent middle cerebral artery occlusion. Fecal samples were collected before stroke and 3 days post stroke to measure gut microbiome. Machine learning was used to identify the top ranked bacteria which were changed following stroke. MRI imaging was used to obtain infarct and edema size and cerebral blood flow (CBF). ELISA was used to obtain inflammatory markers.

Results: Dysbiosis was demonstrated by an increase in pathogenic bacteria such as Butyricimonas virosa (15.52 fold change, p < 0.0001), Bacteroides vulgatus (7.36 fold change, p < 0.0001), and Escherichia coli (47.67 fold change, p < 0.0001). These bacteria were positively associated with infarct and edema size and with the inflammatory markers Ccl19, Ccl24, IL17a, IL3, and complement C5; they were negatively correlated with CBF. Conversely, beneficial bacteria such as Ruminococcus flavefaciens (0.14 fold change, p < 0.0001), Akkermansia muciniphila (0.78 fold change, p < 0.0001), and Lactobacillus murinus (0.40 fold change, p < 0.0001) were decreased following stroke and associated with all the previous parameters in the opposite direction of the pathogenic species. There were not significant microbiome differences between the sexes.

Conclusion: The species level resolution measurements found here can be used as a foundation to develop and test precision interventions targeting the gut microbiome following stroke. Probiotics that include Ruminococcus flavefaciens, Akkermansia muciniphila, and Lactobacillus murinus should be developed to target the deficit following stroke to measure the impact on stroke severity.

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