Unraveling the impact of Lactobacillus spp. and other urinary microorganisms on the efficacy of mirabegron in female patients with overactive bladder.

Unraveling the impact of Lactobacillus spp. and other urinary microorganisms on the efficacy of mirabegron in female patients with overactive bladder.
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揭示乳杆菌属的影响。

DOI:
10.3389/fcimb.2022.1030315
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发表时间:
2022
影响因子:
5.7
通讯作者:
--
中科院分区:
医学2区
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--
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膀胱过度活动症(OAB)是严重影响患者生活质量和心理健康的疾病。为了解决这个问题,越来越多的研究人员正在研究OAB治疗与尿微生态的关系。在这项研究中,我们试图确定治疗效果的差异是否与微生物组的多样性和组成以及特定属的丰度有关。机器学习算法被用来构建基于尿微生物群的OAB治疗的预测模型。对成年女性OAB患者的尿样进行16SRRNA基因测序。记录治疗前后患者的膀胱过度活动症症状评分(OABSS),并将患者分为有效组和无效组。分析了某些属的相对丰度与OABSS的关系。采用随机森林(RF)、支持向量机(SVM)和极梯度增强(XGBoost)三种机器学习算法,根据OAB患者尿菌群中某些属的相对丰度来预测米雷贝格隆的疗效。两个类群的物种组成不同。其一,乳酸菌的相对丰度在有效组显著高于无效组。此外,有效组的加德纳氏菌和普雷沃特氏菌的相对丰度显著低于无效组。α-多样性和β-多样性在两组之间存在显著差异。Lefse分析显示,有效组乳杆菌丰度增加,普氏杆菌和加德纳氏菌丰度降低。乳酸菌丰度ROC曲线具有较高的预测准确性。治疗后OABSS与乳杆菌丰度呈负相关,与普氏杆菌和加德纳氏菌呈相反趋势。此外,RF、支持向量机和XGBoost模型在评估测试队列中OAB患者的米拉贝格隆疗效方面显示出很高的预测能力。本研究结果提示,尿微生物区系可能影响米拉贝格隆的疗效,乳酸杆菌可能成为评价米拉贝格隆治疗OAB疗效的潜在指标。
Overactive bladder (OAB) is a disease that seriously affects patients’ quality of life and mental health. To address this issue, more and more researchers are examining the relationship between OAB treatment and urinary microecology. In this study, we sought to determine whether differences in treatment efficacy were related to microbiome diversity and composition as well as the abundance of specific genera. Machine learning algorithms were used to construct predictive models for urine microbiota-based treatment of OAB. Urine samples were obtained from 64 adult female OAB patients for 16S rRNA gene sequencing. Patients’ overactive bladder symptom scores (OABSS) were collected before and after mirabegron treatment and patients were divided into effective and ineffective groups. The relationship between the relative abundance of certain genera and OABSS were analyzed. Three machine learning algorithms, including random forest (RF), supporting vector machine (SVM) and eXtreme gradient boosting (XGBoost) were utilized to predict the therapeutic effect of mirabegron based on the relative abundance of certain genera in OAB patients’ urine microbiome. The species composition of the two groups differed. For one, the relative abundance of Lactobacillus was significantly higher in the effective group than in the ineffective group. In addition, the relative abundance of Gardnerella and Prevotella in the effective group was significantly lower than in the ineffective group. Alpha-diversity and beta-diversity differed significantly between the two groups. LEfSe analysis revealed that Lactobacillus abundance increased while Prevotella and Gardnerella abundance decreased in the effective group. The Lactobacillus abundance ROC curve had high predictive accuracy. The OABSS after treatment was negatively correlated with the abundance of Lactobacillus, whereas the relationship between OABSS and Prevotella and Gardnerella showed the opposite trend. In addition, RF, SVM and XGBoost models demonstrated high predictive ability to assess the effect of mirabegron in OAB patients in the test cohort. The results of this study indicate that urinary microbiota might influence the efficacy of mirabegron, and that Lactobacillus might be a potential marker for evaluating the therapeutic efficacy of mirabegron in OAB patients.
膀胱微生物群与膀胱过度活动症症状严重程度之间的相互作用:一项横断面研究
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发表时间: 2017-07-01
影响因子: 2.6
作者:
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