Design of a Continuous GAA-Producing Probiotic as a Potential Mitigator of the Effects of Sleep Deprivation

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Brandon D. Fields, Daniel G. Pascal, Olivia K. Rando, Mary E. Huddleston, Katherine Ingram, Rachel Hopton, Matthew W. Grogg, M. Tyler Nelson and Christopher A. Voigt*, 
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Abstract

Creatine is a popular athletic supplement that has also been shown to improve cognitive performance upon sleep deprivation. However, it is rapidly cleared from the gastrointestinal tract a few hours after consumption. Toward providing a persistent creatine dose, we engineered the human probiotic Escherichia coli Nissle (EcN) to produce guanidinoacetic acid (GAA), which is converted to creatine in the liver. We find GAA-producing enzymes present in the human microbiome and compare their activities to known enzymes. Three copies of arginine:glycine amidinotransferase (AGAT) from Actinokineospora terrae are expressed from the genome, and native gcvP, argR, and argA are edited or deleted to improve substrate availability without negatively impacting cell viability. A standard EcN dose (1012 cells) produces 41 ± 7 mg GAA per hour under laboratory conditions. This work demonstrates that a probiotic bacterium can be engineered to produce sustained GAA titers known to impact cognitive performance.

Abstract Image

连续产生gaa的益生菌作为睡眠剥夺影响的潜在缓解剂的设计
肌酸是一种流行的运动补充剂,也被证明可以在睡眠不足的情况下提高认知能力。然而,它在食用几个小时后迅速从胃肠道中清除。为了提供持久的肌酸剂量,我们设计了人类益生菌大肠杆菌鼻喷剂(EcN)来产生胍基乙酸(GAA),它在肝脏中转化为肌酸。我们在人类微生物组中发现了产生gaa的酶,并将其活性与已知酶进行了比较。从基因组中表达来自放线动孢菌的三个精氨酸:甘氨酸氨基转移酶(AGAT)拷贝,并编辑或删除天然gcvP, argR和argA以提高底物利用率,而不会对细胞活力产生负面影响。在实验室条件下,标准EcN剂量(1012个细胞)每小时产生41±7 mg GAA。这项工作表明,益生菌可以被设计成产生持续的GAA滴度,已知会影响认知表现。
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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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