在大肠杆菌 Nissle 1917 中设计新型益生菌工具包,用于感知和缓解肠道炎症性疾病。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2024-08-16 Epub Date: 2024-08-08 DOI:10.1021/acssynbio.4c00036
Nathalie Weibel, Martina Curcio, Atilla Schreiber, Gabriel Arriaga, Marine Mausy, Jana Mehdy, Lea Brüllmann, Andreas Meyer, Len Roth, Tamara Flury, Valerie Pecina, Kim Starlinger, Jan Dernič, Kenny Jungfer, Fabian Ackle, Jennifer Earp, Martin Hausmann, Martin Jinek, Gerhard Rogler, Cauã Antunes Westmann
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引用次数: 0

摘要

炎症性肠病(IBD)以慢性肠道炎症为特征,目前尚无根治方法,而且治疗方案有限,往往会产生全身副作用。在这项研究中,我们通过对益生菌大肠杆菌 Nissle 1917(EcN)进行工程改造,开发了一种靶向特异性系统,用于治疗 IBD。我们的模块化系统由三个部分组成:能检测炎症生物标志物一氧化氮(NO)的基于转录因子的传感器(NorR)、1型溶血素分泌系统和由人源化抗肿瘤坏死因子α纳米抗体库组成的治疗货物。尽管灵敏度有所降低,但我们的系统仍表现出了对 NO 的浓度依赖性反应,成功分泌出了功能性纳米抗体,其结合亲和力与常用药物阿达木单抗相当,这一点已通过酶联免疫吸附试验和体外试验得到证实。这个新验证的纳米抗体库扩展了 EcN 的治疗能力。所采用的分泌系统也是首次在 EcN 中进行表征,可进一步用作筛选和纯化感兴趣蛋白质的平台。此外,我们还提供了一个数学框架,用于评估益生菌系统工程中的关键参数,包括相关分子的产生和扩散、细菌定植率和颗粒相互作用。这种综合方法为基于 EcN 的疗法扩展了合成生物学工具箱,提供了新的部件、电路和炎症热点可调反应模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Engineering a Novel Probiotic Toolkit in <i>Escherichia coli</i> <i>Nissle 1917</i> for Sensing and Mitigating Gut Inflammatory Diseases.

Engineering a Novel Probiotic Toolkit in Escherichia coli Nissle 1917 for Sensing and Mitigating Gut Inflammatory Diseases.

Inflammatory bowel disease (IBD) is characterized by chronic intestinal inflammation with no cure and limited treatment options that often have systemic side effects. In this study, we developed a target-specific system to potentially treat IBD by engineering the probiotic bacterium Escherichia coli Nissle 1917 (EcN). Our modular system comprises three components: a transcription factor-based sensor (NorR) capable of detecting the inflammation biomarker nitric oxide (NO), a type 1 hemolysin secretion system, and a therapeutic cargo consisting of a library of humanized anti-TNFα nanobodies. Despite a reduction in sensitivity, our system demonstrated a concentration-dependent response to NO, successfully secreting functional nanobodies with binding affinities comparable to the commonly used drug Adalimumab, as confirmed by enzyme-linked immunosorbent assay and in vitro assays. This newly validated nanobody library expands EcN therapeutic capabilities. The adopted secretion system, also characterized for the first time in EcN, can be further adapted as a platform for screening and purifying proteins of interest. Additionally, we provided a mathematical framework to assess critical parameters in engineering probiotic systems, including the production and diffusion of relevant molecules, bacterial colonization rates, and particle interactions. This integrated approach expands the synthetic biology toolbox for EcN-based therapies, providing novel parts, circuits, and a model for tunable responses at inflammatory hotspots.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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