Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region

Previous studies have implied the potential impact of gut microbiota on acute ischemic stroke (AIS), but the relationships of gut microbiota with basal ganglia region infarction (BGRI) and the predictive power of gut microbiota in BGRI prognosis is unclear. The aim of this study was to ascertain cha...

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Main Authors: Jiayu Shi, Yiting Zhao, Qionglei Chen, Xiaolan Liao, Jiaxin Chen, Huijia Xie, Jiaming Liu, Jing Sun, Songfang Chen
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Microorganisms
Subjects:
Online Access:https://www.mdpi.com/2076-2607/11/11/2667
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author Jiayu Shi
Yiting Zhao
Qionglei Chen
Xiaolan Liao
Jiaxin Chen
Huijia Xie
Jiaming Liu
Jing Sun
Songfang Chen
author_facet Jiayu Shi
Yiting Zhao
Qionglei Chen
Xiaolan Liao
Jiaxin Chen
Huijia Xie
Jiaming Liu
Jing Sun
Songfang Chen
author_sort Jiayu Shi
collection DOAJ
description Previous studies have implied the potential impact of gut microbiota on acute ischemic stroke (AIS), but the relationships of gut microbiota with basal ganglia region infarction (BGRI) and the predictive power of gut microbiota in BGRI prognosis is unclear. The aim of this study was to ascertain characteristic taxa of BGRI patients with different functional outcomes and identify their predictive value. Fecal samples of 65 BGRI patients were collected at admission and analyzed with 16s rRNA gene sequencing. Three-month functional outcomes of BGRI were evaluated using modified Rankin Scale (mRS), and patients with mRS score of 0–1 were assigned to good-BGRI group while others were assigned to poor-BGRI group. We further identified characteristic microbiota using linear discriminant analysis effect size, and receiver operating characteristic (ROC) curve was used to determine the predictive value of differential bacteria. According to the mRS score assessed after 3 months of stroke onset, 22 patients were assigned to poor-BGRI group, while 43 patients were assigned to good-BGRI group. Short chain fatty acids-producing bacteria, <i>Romboutsia</i> and <i>Fusicatenibacter</i>, were characteristic microbiota of the good-BGRI group, while pro-inflammatory taxa, <i>Acetanaerobacterium</i>, were characteristic microbiota of the poor-BGRI group. Furthermore, the differential bacteria showed extensive associations with clinical indices. ROC curves, separately plotted based on <i>Romboutsia</i> and <i>Fusicatenibacter</i>, achieved area under the curve values of 0.7193 and 0.6839, respectively. This study identified the efficient discriminative power of characteristic microbiota in BGRI patients with different outcomes and provided novel insights into the associations of gut microbiota with related risk factors.
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spelling doaj.art-d1e4d08bf1d340c0b657a2d6c59b4ddd2023-11-24T14:56:51ZengMDPI AGMicroorganisms2076-26072023-10-011111266710.3390/microorganisms11112667Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia RegionJiayu Shi0Yiting Zhao1Qionglei Chen2Xiaolan Liao3Jiaxin Chen4Huijia Xie5Jiaming Liu6Jing Sun7Songfang Chen8Department of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, ChinaDepartment of Geriatrics, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaDepartment of Neurology, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, ChinaPrevious studies have implied the potential impact of gut microbiota on acute ischemic stroke (AIS), but the relationships of gut microbiota with basal ganglia region infarction (BGRI) and the predictive power of gut microbiota in BGRI prognosis is unclear. The aim of this study was to ascertain characteristic taxa of BGRI patients with different functional outcomes and identify their predictive value. Fecal samples of 65 BGRI patients were collected at admission and analyzed with 16s rRNA gene sequencing. Three-month functional outcomes of BGRI were evaluated using modified Rankin Scale (mRS), and patients with mRS score of 0–1 were assigned to good-BGRI group while others were assigned to poor-BGRI group. We further identified characteristic microbiota using linear discriminant analysis effect size, and receiver operating characteristic (ROC) curve was used to determine the predictive value of differential bacteria. According to the mRS score assessed after 3 months of stroke onset, 22 patients were assigned to poor-BGRI group, while 43 patients were assigned to good-BGRI group. Short chain fatty acids-producing bacteria, <i>Romboutsia</i> and <i>Fusicatenibacter</i>, were characteristic microbiota of the good-BGRI group, while pro-inflammatory taxa, <i>Acetanaerobacterium</i>, were characteristic microbiota of the poor-BGRI group. Furthermore, the differential bacteria showed extensive associations with clinical indices. ROC curves, separately plotted based on <i>Romboutsia</i> and <i>Fusicatenibacter</i>, achieved area under the curve values of 0.7193 and 0.6839, respectively. This study identified the efficient discriminative power of characteristic microbiota in BGRI patients with different outcomes and provided novel insights into the associations of gut microbiota with related risk factors.https://www.mdpi.com/2076-2607/11/11/2667ischemic strokebasal ganglia region infarctiongut microbiotafunctional outcomeROC curve
spellingShingle Jiayu Shi
Yiting Zhao
Qionglei Chen
Xiaolan Liao
Jiaxin Chen
Huijia Xie
Jiaming Liu
Jing Sun
Songfang Chen
Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region
Microorganisms
ischemic stroke
basal ganglia region infarction
gut microbiota
functional outcome
ROC curve
title Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region
title_full Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region
title_fullStr Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region
title_full_unstemmed Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region
title_short Association Analysis of Gut Microbiota and Prognosis of Patients with Acute Ischemic Stroke in Basal Ganglia Region
title_sort association analysis of gut microbiota and prognosis of patients with acute ischemic stroke in basal ganglia region
topic ischemic stroke
basal ganglia region infarction
gut microbiota
functional outcome
ROC curve
url https://www.mdpi.com/2076-2607/11/11/2667
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