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维多珠单抗治疗对炎症性肠病患者微生物群和肠道通透性影响的数学建模

Mathematical Modeling of Vedolizumab Treatment's Effect on Microbiota and Intestinal Permeability in Inflammatory Bowel Disease Patients.

作者信息

D'Ambrosio Antonio, Altomare Annamaria, Boscarino Tamara, Gori Manuele, Balestrieri Paola, Putignani Lorenza, Del Chierico Federica, Carotti Simone, Cicala Michele, Guarino Michele Pier Luca, Piemonte Vincenzo

机构信息

Unit of Chemical-Physics Fundamentals in Chemical Engineering, Department of Science and Technology for Sustainable Development and One Health, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 21, 00128 Rome, Italy.

Department of Sciences and Technology of Sustainable Development and Human Health, Università Campus Biomedico di Roma, Via Alvaro del Portillo 21, 00128 Rome, Italy.

出版信息

Bioengineering (Basel). 2024 Jul 12;11(7):710. doi: 10.3390/bioengineering11070710.

Abstract

Growing evidence suggests that impaired gut permeability and gut microbiota alterations are involved in the pathogenesis of Inflammatory Bowel Diseases (IBDs), which include Ulcerative Colitis (UC) and Crohn's Disease (CD). Vedolizumab is an anti-α4β7 antibody approved for IBD treatment, used as the first treatment or second-line therapy when the first line results in inadequate effectiveness. The aim of this study is to develop a mathematical model capable of describing the pathophysiological mechanisms of Vedolizumab treatment in IBD patients. In particular, the relationship between drug concentration in the blood, colonic mucosal permeability and fecal microbiota composition was investigated and modeled to detect and predict trends in order to support and tailor Vedolizumab therapies. To pursue this aim, clinical data from a pilot study on a cluster of 11 IBD patients were analyzed. Enrolled patients underwent colonoscopy in three phases (before (t0), after 24 weeks of (t1) and after 52 weeks of (t2 ) Vedolizumab treatment) to collect mucosal biopsies for transepithelial electrical resistance (TEER) evaluation (permeability to ions), intestinal permeability measurement and histological analysis. Moreover, fecal samples were collected for the intestinal microbiota analysis at the three time points. The collected data were compared to those of 11 healthy subjects at t0, who underwent colonoscopy for screening surveillance, and used to implement a three-compartmental mathematical model (comprising central blood, peripheral blood and the intestine). The latter extends previous evidence from the literature, based on the regression of experimental data, to link drug concentration in the peripheral blood compartment with abundance and intestinal permeability. The clinical data showed that Vedolizumab treatment leads to an increase in TEER and a reduction in intestinal permeability to a paracellular probe, improving tissue inflammation status. Microbiota analysis showed increasing values of , albeit not statistically significant. This trend was adequately reproduced by the mathematical model, which offers a useful tool to describe the pathophysiological effects of Vedolizumab therapy on colonic mucosal permeability and fecal microbiota composition. The model's satisfactory predictive capabilities and simplicity shed light on the relationship between the drug, the microbiota and permeability and allow for its straightforward extension to diverse therapeutic conditions.

摘要

越来越多的证据表明,肠道通透性受损和肠道微生物群改变参与了炎症性肠病(IBD)的发病机制,炎症性肠病包括溃疡性结肠炎(UC)和克罗恩病(CD)。维多珠单抗是一种被批准用于治疗IBD的抗α4β7抗体,当一线治疗效果不佳时,可作为一线治疗或二线治疗药物。本研究的目的是建立一个能够描述维多珠单抗治疗IBD患者病理生理机制的数学模型。具体而言,研究并建立了血液中药物浓度、结肠黏膜通透性和粪便微生物群组成之间的关系模型,以检测和预测趋势,从而支持和调整维多珠单抗治疗方案。为实现这一目标,分析了一项针对11名IBD患者群体的初步研究的临床数据。入选患者在维多珠单抗治疗的三个阶段(治疗前(t0)、治疗24周后(t1)和治疗52周后(t2))接受结肠镜检查,以采集黏膜活检样本,用于跨上皮电阻(TEER)评估(离子通透性)、肠道通透性测量和组织学分析。此外,在这三个时间点采集粪便样本进行肠道微生物群分析。将收集到的数据与11名在t0时接受结肠镜筛查监测的健康受试者的数据进行比较,并用于建立一个三室数学模型(包括中央血液、外周血液和肠道)。该模型在以往文献实验数据回归的基础上进行了扩展,将外周血室中的药物浓度与丰度和肠道通透性联系起来。临床数据表明,维多珠单抗治疗可导致TEER升高,对细胞旁探针的肠道通透性降低,改善组织炎症状态。微生物群分析显示,尽管无统计学意义,但数值呈上升趋势。该数学模型充分再现了这一趋势,为描述维多珠单抗治疗对结肠黏膜通透性和粪便微生物群组成的病理生理效应提供了一个有用的工具。该模型令人满意的预测能力和简单性揭示了药物、微生物群和通透性之间的关系,并使其能够直接扩展到不同的治疗条件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3e1/11274165/84a458d35432/bioengineering-11-00710-g001.jpg

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