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Engineered live bacteria as disease detection and diagnosis tools
Sensitive and minimally invasive medical diagnostics are essential to the early detection of diseases, monitoring their progression and response to treatment. Engineered bacteria as live sensors are being developed as a new class of biosensors for sensitive, robust, noninvasive, and in situ detectio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598922/ https://www.ncbi.nlm.nih.gov/pubmed/37875910 http://dx.doi.org/10.1186/s13036-023-00379-z |
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author | Tanniche, Imen Behkam, Bahareh |
author_facet | Tanniche, Imen Behkam, Bahareh |
author_sort | Tanniche, Imen |
collection | PubMed |
description | Sensitive and minimally invasive medical diagnostics are essential to the early detection of diseases, monitoring their progression and response to treatment. Engineered bacteria as live sensors are being developed as a new class of biosensors for sensitive, robust, noninvasive, and in situ detection of disease onset at low cost. Akin to microrobotic systems, a combination of simple genetic rules, basic logic gates, and complex synthetic bioengineering principles are used to program bacterial vectors as living machines for detecting biomarkers of diseases, some of which cannot be detected with other sensing technologies. Bacterial whole-cell biosensors (BWCBs) can have wide-ranging functions from detection only, to detection and recording, to closed-loop detection-regulated treatment. In this review article, we first summarize the unique benefits of bacteria as living sensors. We then describe the different bacteria-based diagnosis approaches and provide examples of diagnosing various diseases and disorders. We also discuss the use of bacteria as imaging vectors for disease detection and image-guided surgery. We conclude by highlighting current challenges and opportunities for further exploration toward clinical translation of these bacteria-based systems. |
format | Online Article Text |
id | pubmed-10598922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105989222023-10-26 Engineered live bacteria as disease detection and diagnosis tools Tanniche, Imen Behkam, Bahareh J Biol Eng Review Sensitive and minimally invasive medical diagnostics are essential to the early detection of diseases, monitoring their progression and response to treatment. Engineered bacteria as live sensors are being developed as a new class of biosensors for sensitive, robust, noninvasive, and in situ detection of disease onset at low cost. Akin to microrobotic systems, a combination of simple genetic rules, basic logic gates, and complex synthetic bioengineering principles are used to program bacterial vectors as living machines for detecting biomarkers of diseases, some of which cannot be detected with other sensing technologies. Bacterial whole-cell biosensors (BWCBs) can have wide-ranging functions from detection only, to detection and recording, to closed-loop detection-regulated treatment. In this review article, we first summarize the unique benefits of bacteria as living sensors. We then describe the different bacteria-based diagnosis approaches and provide examples of diagnosing various diseases and disorders. We also discuss the use of bacteria as imaging vectors for disease detection and image-guided surgery. We conclude by highlighting current challenges and opportunities for further exploration toward clinical translation of these bacteria-based systems. BioMed Central 2023-10-24 /pmc/articles/PMC10598922/ /pubmed/37875910 http://dx.doi.org/10.1186/s13036-023-00379-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Tanniche, Imen Behkam, Bahareh Engineered live bacteria as disease detection and diagnosis tools |
title | Engineered live bacteria as disease detection and diagnosis tools |
title_full | Engineered live bacteria as disease detection and diagnosis tools |
title_fullStr | Engineered live bacteria as disease detection and diagnosis tools |
title_full_unstemmed | Engineered live bacteria as disease detection and diagnosis tools |
title_short | Engineered live bacteria as disease detection and diagnosis tools |
title_sort | engineered live bacteria as disease detection and diagnosis tools |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598922/ https://www.ncbi.nlm.nih.gov/pubmed/37875910 http://dx.doi.org/10.1186/s13036-023-00379-z |
work_keys_str_mv | AT tannicheimen engineeredlivebacteriaasdiseasedetectionanddiagnosistools AT behkambahareh engineeredlivebacteriaasdiseasedetectionanddiagnosistools |