Integration of substrate-specific enzymes and a peroxide biosensor for detection of glucose, uric acid, and cholesterol.
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| Title: | Integration of substrate-specific enzymes and a peroxide biosensor for detection of glucose, uric acid, and cholesterol. |
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| Authors: | Ji, Mengmeng1, Sun, Hong2, Shi, Guifang2, Huang, Wei E.1,3 wei.huang@eng.ox.ac.uk, Wang, Yun1 yun.wang@oxford-oscar.cn |
| Source: | Applied & Environmental Microbiology. Jun2026, Vol. 92 Issue 6, p1-13. 13p. |
| Subjects: | Biosensors, Uric acid, Biomarkers, Bioluminescence, Blood sugar monitoring, Cholesterol, Biocatalysis |
| Abstract: | Conventional whole-cell biosensors function as "one analyte, one sensor" systems to ensure high specificity relying on transcriptional regulatory protein cascades to induce reporter gene expression, leading to the development of distinct sensor systems to monitor multiple target substances. To address this constraint and broaden analyte detection capabilities, we developed a modular biosensing platform that couples a key metabolite-responsive biosensor with various substrate-specific enzymes to detect a range of target molecules. This study demonstrated that the integration of a general hydrogen peroxide (H2O2)-responsive biosensor with glucose oxidase, uricase, and cholesterol oxidase enabled the detection of three clinically relevant biomarkers: glucose, uric acid, and cholesterol. Upon substrate-specific enzyme conversion, these three biomarkers generate H2O2, which triggers the expression of the luxCDABE reporter gene cluster and produces bioluminescence in the H2O2-responsive biosensor Pseudomonas putida KT2440[pPahpc]. The system has demonstrated sensitive detection of glucose (10-200 µM), uric acid (5-125 µM), and cholesterol (1.25-100µM). Validation with 17 clinical urine specimens confirmed the reliability of our system for quantifying glucose and uric acid, thereby establishing its potential diagnostic utility. IMPORTANCE The increasing public focus on health management has fueled the development of decentralized diagnostic testing. While biosensors are ideally suited to this application area, their dependence on molecular specificity mandates individualized transducers for each target. Consequently, multiplied engineering efforts and resource expenditure substantially restrict practical deployment. This study addresses this challenge through the integration of a universal signal transduction pathway with multiple substrate-specific oxidases, enabling simultaneous quantification of diverse molecular targets within a single biosensing platform. Clinical validation with 17 urine specimens confirmed the system's robust analytical performance. Our findings establish a technological foundation for cost-effective, rapid, and multiplexed home-testing devices, showing substantial promise for advancing disease surveillance and personalized healthcare management. [ABSTRACT FROM AUTHOR] |
| Copyright of Applied & Environmental Microbiology is the property of American Society for Microbiology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194807056 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integration of substrate-specific enzymes and a peroxide biosensor for detection of glucose, uric acid, and cholesterol. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ji%2C+Mengmeng%22">Ji, Mengmeng</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sun%2C+Hong%22">Sun, Hong</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Shi%2C+Guifang%22">Shi, Guifang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Huang%2C+Wei+E%2E%22">Huang, Wei E.</searchLink><relatesTo>1,3</relatesTo><i> wei.huang@eng.ox.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yun%22">Wang, Yun</searchLink><relatesTo>1</relatesTo><i> yun.wang@oxford-oscar.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+%26+Environmental+Microbiology%22">Applied & Environmental Microbiology</searchLink>. Jun2026, Vol. 92 Issue 6, p1-13. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Biosensors%22">Biosensors</searchLink><br /><searchLink fieldCode="DE" term="%22Uric+acid%22">Uric acid</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Bioluminescence%22">Bioluminescence</searchLink><br /><searchLink fieldCode="DE" term="%22Blood+sugar+monitoring%22">Blood sugar monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Cholesterol%22">Cholesterol</searchLink><br /><searchLink fieldCode="DE" term="%22Biocatalysis%22">Biocatalysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Conventional whole-cell biosensors function as "one analyte, one sensor" systems to ensure high specificity relying on transcriptional regulatory protein cascades to induce reporter gene expression, leading to the development of distinct sensor systems to monitor multiple target substances. To address this constraint and broaden analyte detection capabilities, we developed a modular biosensing platform that couples a key metabolite-responsive biosensor with various substrate-specific enzymes to detect a range of target molecules. This study demonstrated that the integration of a general hydrogen peroxide (H2O2)-responsive biosensor with glucose oxidase, uricase, and cholesterol oxidase enabled the detection of three clinically relevant biomarkers: glucose, uric acid, and cholesterol. Upon substrate-specific enzyme conversion, these three biomarkers generate H2O2, which triggers the expression of the luxCDABE reporter gene cluster and produces bioluminescence in the H2O2-responsive biosensor Pseudomonas putida KT2440[pPahpc]. The system has demonstrated sensitive detection of glucose (10-200 µM), uric acid (5-125 µM), and cholesterol (1.25-100µM). Validation with 17 clinical urine specimens confirmed the reliability of our system for quantifying glucose and uric acid, thereby establishing its potential diagnostic utility. IMPORTANCE The increasing public focus on health management has fueled the development of decentralized diagnostic testing. While biosensors are ideally suited to this application area, their dependence on molecular specificity mandates individualized transducers for each target. Consequently, multiplied engineering efforts and resource expenditure substantially restrict practical deployment. This study addresses this challenge through the integration of a universal signal transduction pathway with multiple substrate-specific oxidases, enabling simultaneous quantification of diverse molecular targets within a single biosensing platform. Clinical validation with 17 urine specimens confirmed the system's robust analytical performance. Our findings establish a technological foundation for cost-effective, rapid, and multiplexed home-testing devices, showing substantial promise for advancing disease surveillance and personalized healthcare management. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Applied & Environmental Microbiology is the property of American Society for Microbiology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1128/aem.00338-26 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Biosensors Type: general – SubjectFull: Uric acid Type: general – SubjectFull: Biomarkers Type: general – SubjectFull: Bioluminescence Type: general – SubjectFull: Blood sugar monitoring Type: general – SubjectFull: Cholesterol Type: general – SubjectFull: Biocatalysis Type: general Titles: – TitleFull: Integration of substrate-specific enzymes and a peroxide biosensor for detection of glucose, uric acid, and cholesterol. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ji, Mengmeng – PersonEntity: Name: NameFull: Sun, Hong – PersonEntity: Name: NameFull: Shi, Guifang – PersonEntity: Name: NameFull: Huang, Wei E. – PersonEntity: Name: NameFull: Wang, Yun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00992240 Numbering: – Type: volume Value: 92 – Type: issue Value: 6 Titles: – TitleFull: Applied & Environmental Microbiology Type: main |
| ResultId | 1 |
