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Gut microbial dysbiosis correlates with stroke severity markers in aged rats.
Hammond, Tyler C; Messmer, Sarah; Frank, Jacqueline A; Lukins, Doug; Colwell, Rita; Lin, Ai-Ling; Pennypacker, Keith R.
Afiliação
  • Hammond TC; Lin Brain Lab, Department of Neuroscience, Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States.
  • Messmer S; Department of Neurology, The Center for Advanced Translational Stroke Science, University of Kentucky, Lexington, KY, United States.
  • Frank JA; Department of Neurology, The Center for Advanced Translational Stroke Science, University of Kentucky, Lexington, KY, United States.
  • Lukins D; Department of Radiology, University of Kentucky, Lexington, KY, United States.
  • Colwell R; CosmosID Inc, Rockville, MD, United States.
  • Lin AL; Division of Biological Sciences and Institute for Data Science and Informatics, Department of Radiology, University of Missouri, Columbia, MO, United States.
  • Pennypacker KR; Department of Neurology, The Center for Advanced Translational Stroke Science, University of Kentucky, Lexington, KY, United States.
Article em En | MEDLINE | ID: mdl-36825211
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article