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

Authors :
Weibel N
Curcio M
Schreiber A
Arriaga G
Mausy M
Mehdy J
Brüllmann L
Meyer A
Roth L
Flury T
Pecina V
Starlinger K
Dernič J
Jungfer K
Ackle F
Earp J
Hausmann M
Jinek M
Rogler G
Antunes Westmann C
Source :
ACS synthetic biology [ACS Synth Biol] 2024 Aug 16; Vol. 13 (8), pp. 2376-2390. Date of Electronic Publication: 2024 Aug 08.
Publication Year :
2024

Abstract

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.

Details

Language :
English
ISSN :
2161-5063
Volume :
13
Issue :
8
Database :
MEDLINE
Journal :
ACS synthetic biology
Publication Type :
Academic Journal
Accession number :
39115381
Full Text :
https://doi.org/10.1021/acssynbio.4c00036