Shi Jiayu, Zhao Yiting, Chen Qionglei, Liao Xiaolan, Chen Jiaxin, Xie Huijia, Liu Jiaming, Sun Jing, Chen Songfang
Department of Geriatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China.
Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China.
Microorganisms. 2023 Oct 30;11(11):2667. doi: 10.3390/microorganisms11112667.
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, and , were characteristic microbiota of the good-BGRI group, while pro-inflammatory taxa, , were characteristic microbiota of the poor-BGRI group. Furthermore, the differential bacteria showed extensive associations with clinical indices. ROC curves, separately plotted based on and , 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.
先前的研究已经暗示了肠道微生物群对急性缺血性中风（AIS）的潜在影响，但肠道微生物群与基底节区梗死（BGRI）的关系以及肠道微生物群对BGRI预后的预测能力尚不清楚。本研究的目的是确定具有不同功能结局的BGRI患者的特征性分类群，并确定它们的预测价值。在入院时收集了65例BGRI患者的粪便样本，并用16S rRNA基因测序进行分析。使用改良Rankin量表（mRS）评估BGRI患者3个月时的功能结局，mRS评分为0-1分的患者被分配到良好BGRI组，而其他患者被分配到不良BGRI组。我们使用线性判别分析效应大小进一步确定特征微生物群，并使用受试者工作特征（ROC）曲线来确定差异细菌的预测价值。根据中风发作3个月后评估的mRS评分，22例患者被分配到不良BGRI组，而43例患者被分配到良好BGRI组。产生短链脂肪酸的细菌[具体细菌名称1]和[具体细菌名称2]是良好BGRI组的特征微生物群，而促炎分类群[具体细菌名称3]是不良BGRI组的特征微生物群。此外，差异细菌与临床指标显示出广泛的关联。分别基于[具体细菌名称1]和[具体细菌名称3]绘制的ROC曲线，曲线下面积值分别为0.7193和0.6839。本研究确定了特征微生物群对不同结局BGRI患者的有效判别能力，并为肠道微生物群与相关危险因素的关联提供了新的见解。
