Functional characterization of engineered bacterial biosensors for kynurenine detection

The kynurenine (KYN) pathway is the major catabolic pathway for tryptophan in humans, producing several metabolites that influence health. In clinical settings, KYN levels serve as a valuable biomarker for the diagnosis and prognosis of inflammatory and neurological diseases. Nevertheless, KYN detection relies on mass spectrometry analysis, which requires specialized knowledge and expertise with high operational costs. The bacterial biosensor presents as a promising tool for rapid and cost-effective targeted substance detection due to its ease of genetic modification. Therefore, this study aimed to develop an engineered bacterial biosensor by integrating a genetic module in a plasmid designed for KYN detection harboured in an <i>Escherichia coli</i> chassis. The KYN biosensing component in the genetic module encodes a KYN pathway regulator (KynR) from <i>Pseudomonas aeruginosa</i>, driven by the <i>P<sub>BAD</sub></i> arabinose-inducible promoter. Upon expression, KynR would bind to the exogenous KYN and the bacterial responding <i>kyn</i> promoter to express the downstream green fluorescent protein gene to emit a fluorescence signal. However, despite successful induction by arabinose and the presence of KYN, biosensors with different gene orientations and genetic components failed to produce a significant fluorescence signal. These findings suggest that the sensitivity of <i>P. aeruginosa</i> KynR is insufficient to detect physiological levels of KYN. Further exploration of alternative biological sensing components is warranted.

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Publication Details

Journal
Access Microbiology
Published
2025-08-01
DOI
https://doi.org/10.1099/acmi.0.001031.v5
Citations
1
Primary Topic
Tryptophan and brain disorders
Type
article
Field-Weighted Citation Impact
0.58

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article

Functional characterization of engineered bacterial biosensors for kynurenine detection

J. B. S. Coulter, Halah Ahmed, Chien‐Yi Chang, Pisit Charoenwongwatthana et al.
1 citations
Access Microbiology
Tryptophan and brain disorders
0.58
article

Functional characterization of engineered bacterial biosensors for kynurenine detection

J. B. S. Coulter, Halah Ahmed, Chien‐Yi Chang, Pisit Charoenwongwatthana, Wojciech Cajdler
article en
1 citations

Abstract

The kynurenine (KYN) pathway is the major catabolic pathway for tryptophan in humans, producing several metabolites that influence health. In clinical settings, KYN levels serve as a valuable biomarker for the diagnosis and prognosis of inflammatory and neurological diseases. Nevertheless, KYN detection relies on mass spectrometry analysis, which requires specialized knowledge and expertise with high operational costs. The bacterial biosensor presents as a promising tool for rapid and cost-effective targeted substance detection due to its ease of genetic modification. Therefore, this study aimed to develop an engineered bacterial biosensor by integrating a genetic module in a plasmid designed for KYN detection harboured in an <i>Escherichia coli</i> chassis. The KYN biosensing component in the genetic module encodes a KYN pathway regulator (KynR) from <i>Pseudomonas aeruginosa</i>, driven by the <i>P<sub>BAD</sub></i> arabinose-inducible promoter. Upon expression, KynR would bind to the exogenous KYN and the bacterial responding <i>kyn</i> promoter to express the downstream green fluorescent protein gene to emit a fluorescence signal. However, despite successful induction by arabinose and the presence of KYN, biosensors with different gene orientations and genetic components failed to produce a significant fluorescence signal. These findings suggest that the sensitivity of <i>P. aeruginosa</i> KynR is insufficient to detect physiological levels of KYN. Further exploration of alternative biological sensing components is warranted.

Access MicrobiologyVol. 7(8)
Mahidol University (TH), Newcastle University (GB)
Newcastle University, Rosetrees Trust, Mahidol University, NIHR Newcastle Biomedical Research Centre
Good health and well-being
Openalex Percentile: Top 34%
Tryptophan and brain disorders
0.58
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