微生物特征作为克罗恩病患者术后内镜复发预测指标的定义

Frontiers in molecular medicine Pub Date : 2023-02-03 eCollection Date: 2023-01-01 DOI:10.3389/fmmed.2023.1046414
Lia Oliver, Blau Camps, David Julià-Bergkvist, Joan Amoedo, Sara Ramió-Pujol, Marta Malagón, Anna Bahí, Paola Torres, Eugeni Domènech, Jordi Guardiola, Mariona Serra-Pagès, Jesus Garcia-Gil, Xavier Aldeguer
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引用次数: 0

摘要

背景和目的:尽管有几种有效的药物可以治疗克罗恩病(CD),但近70%的患者在一生中需要手术切除。这种手术并不总是可以治愈的,因为65%–90%的患者在手术后的第一年会出现内镜复发。复发的病因尚不清楚;然而,几项研究表明,手术后常驻微生物群是如何改变的。本研究的目的是评估克罗恩病患者在肠道切除前后的样本,以确定不同微生物标志物的丰度是否存在差异,这可能预测基线时的内镜复发。方法:在这项观察性研究中,从加泰罗尼亚三家医院招募的25名克罗恩病患者在接受手术前采集粪便样本。从每个样品中纯化DNA,并使用qPCR定量九种微生物标记的相对丰度。结果:由四种微生物标记物(大肠杆菌、普氏菌门群I、拟杆菌门和真细菌)组成的算法的敏感性和特异性分别为90.91%和85.71%,阳性和阴性预测值分别为83.33%和92.31%。结论:确定了一种确定术后复发患者的微生物特征。该工具在日常临床实践中可能非常有用,可以安排个性化治疗,并仅对真正需要的患者进行预防性治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Definition of a microbial signature as a predictor of endoscopic post-surgical recurrence in patients with Crohn's disease.

Background and aims: Although there are several effective drugs for the treatment of Crohn's disease (CD), almost 70% of patients will require surgical resection during their lifetime. This procedure is not always curative, as endoscopic recurrence occurs in 65%-90% of patients in the first year after surgery. The aetiology of the recurrence is unknown; however, several studies have shown how the resident microbiota is modified after surgery. The aim of this study was to evaluate samples from patients with Crohn's disease before and after an intestinal resection to determine whether there were differences in the abundance of different microbial markers, which may predict endoscopic recurrence at baseline. Methods: In this observational study, a stool sample was obtained from 25 patients with Crohn's disease before undergoing surgery, recruited at three Catalan hospitals. From each sample, DNA was purified and the relative abundance of nine microbial markers was quantified using qPCR. Results: An algorithm composed of four microbial markers (E. coli, F. prausnitzii phylogroup I, Bacteroidetes, and Eubacteria) showed a sensitivity and specificity of 90.91% and 85.71%, respectively, and a positive and negative predictive value of 83.33% and 92.31%, respectively. Conclusion: A microbial signature to determine patients who will have post-surgical recurrence was identified. This tool might be very useful in daily clinical practice, allowing the scheduling of personalized therapy and enabling preventive treatment only in patients who really require it.

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