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Gut microbiota characteristics and prognostic value in patients with aneurysmal subarachnoid hemorrhage: A clinical
Pengzhao Zhang1, Yang Liu2, Mengyuan Xu2
1Graduate School of Xinxiang Medical University, Xinxiang, PR China.
Background:
This study aims to explore the characteristics of gut microbiota in the aneurysmal subarachnoid hemorrhage (aSAH) group and the healthy control group, as well as in the good prognosis group and the poor prognosis group. It also investigates the relationship between the severity of aSAH and gut microbiota, and the predictive value of gut microbiota for the prognosis outcome of patients with aSAH.
Methods:
Stool samples from 22 patients with aSAH and 11 healthy controls were subjected to metagenomic sequencing, and species annotations were obtained through the taxonomic information database corresponding to the NR database. The characteristics of the gut microbiota in the aSAH group versus the healthy control group, and the good prognosis group versus the poor prognosis group were analyzed.The correlations between differential microbiota and clinical hematology markers between the aSAH and control groups and between gut microbiota and aSAH severity were analyzed. The prognosis of patients with aSAH after three months was assessed. Finally, gut microbiota with significant effects were screened for potential as biomarkers, and the predictive value of gut microbiota for different prognostic outcomes in patients with aSAH was explored.
Results:
Gut microbiota composition, diversity, and abundance differed significantly between patients in the aSAH group and the control group. Additionally, the composition, diversity, and abundance differed between patients with good and poor prognosis. Five dominant genera--Bacillus, Eggerthia, Hominisplanchenecus, Carnobacterium, and Bifidobacterium were identified as potential biomarkers for predicting aSAH outcomes.
Conclusion:
Patients with aSAH have altered gut microbiota composition, structure, and diversity compared with the healthy population. These alterations may be potential biomarkers for aSAH diagnosis and outcome prediction.
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