Advanced detection of cervical cancer biomarkers using engineered filamentous phage nanofibers.
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| Title: | Advanced detection of cervical cancer biomarkers using engineered filamentous phage nanofibers. |
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| Authors: | Zhou, Xu1 (AUTHOR), Wang, Yicun2 (AUTHOR) wangyicun@jlu.edu.cn, Bao, Meijing1 (AUTHOR), Chu, Yuqing1 (AUTHOR), Liu, Ruixue1 (AUTHOR), Chen, Qi1 (AUTHOR), Lin, Yang1 (AUTHOR) linyang@jlu.edu.cn |
| Source: | Applied Microbiology & Biotechnology. 2/19/2024, Vol. 108 Issue 1, p1-10. 10p. |
| Subjects: | Cervical cancer, Papillomaviruses, Programmed death-ligand 1, Bacteriophages, Enzyme-linked immunosorbent assay, Vascular endothelial growth factors, Tumor markers, Nanofibers, Early detection of cancer |
| Abstract: | Cervical cancer is a major global health concern, characterized by its high incidence and mortality rates. The detection of tumor markers is crucial for managing cancer, making treatment decisions, and monitoring disease progression. Vascular endothelial growth factor (VEGF) and programmed death-ligand 1 (PDL-1) are key targets in cervical cancer therapy and valuable biomarkers in predicting treatment response and prognosis. In this study, we found that combining the measurement of VEGF and soluble PDL-1 can be used for diagnosing and evaluating the progression of cervical cancer. To explore a more convenient approach for detecting and assessing cervical cancer, we designed and prepared an engineered fd bacteriophage, a human-safe viral nanofiber, equipped with two peptides targeting VEGF and PD-L1. The dual-display phage nanofiber specifically recognizes and binds to both proteins. Utilizing this nanofiber as a novel capture agent, we developed a new enzyme-linked immunosorbent assay (ELISA) method. This method shows significantly enhanced detection sensitivity compared to conventional ELISA methods, which use either anti-VEGF or anti-PD-L1 antibodies as capture agents. Therefore, the phage dual-display nanofiber presents significant potential in detecting cancer markers, evaluating medication efficacy, and advancing immunotherapy drug development. Key points: • The combined measurement of VEGF and soluble Programmed Death-Ligand 1(sPD-L1) demonstrates an additive effect in the diagnosis of cervical cancer. Fd phage nanofibers have been ingeniously engineered to display peptides that bind to VEGF and PD-L1, enabling the simultaneous detection of both proteins within a single assay • Genetically engineered phage nanofibers, adorned with two distinct peptides, can be utilized for the diagnosis and prognosis of cancer and can be mass-produced cost-effectively through bacterial infections • Employing dual-display fd phage nanofibers as capture probes, the phage ELISA method exhibited significantly enhanced detection sensitivity compared to traditional sandwich ELISA. Furthermore, phage ELISA facilitates the detection of a single protein or the simultaneous detection of multiple proteins, rendering them powerful tools for protein analysis and diagnosis across various fields, including cancer research [ABSTRACT FROM AUTHOR] |
| Copyright of Applied Microbiology & Biotechnology is the property of Springer Nature 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.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 177880036 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Advanced detection of cervical cancer biomarkers using engineered filamentous phage nanofibers. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhou%2C+Xu%22">Zhou, Xu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yicun%22">Wang, Yicun</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> wangyicun@jlu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Bao%2C+Meijing%22">Bao, Meijing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chu%2C+Yuqing%22">Chu, Yuqing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Ruixue%22">Liu, Ruixue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Qi%22">Chen, Qi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Yang%22">Lin, Yang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> linyang@jlu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Microbiology+%26+Biotechnology%22">Applied Microbiology & Biotechnology</searchLink>. 2/19/2024, Vol. 108 Issue 1, p1-10. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cervical+cancer%22">Cervical cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Papillomaviruses%22">Papillomaviruses</searchLink><br /><searchLink fieldCode="DE" term="%22Programmed+death-ligand+1%22">Programmed death-ligand 1</searchLink><br /><searchLink fieldCode="DE" term="%22Bacteriophages%22">Bacteriophages</searchLink><br /><searchLink fieldCode="DE" term="%22Enzyme-linked+immunosorbent+assay%22">Enzyme-linked immunosorbent assay</searchLink><br /><searchLink fieldCode="DE" term="%22Vascular+endothelial+growth+factors%22">Vascular endothelial growth factors</searchLink><br /><searchLink fieldCode="DE" term="%22Tumor+markers%22">Tumor markers</searchLink><br /><searchLink fieldCode="DE" term="%22Nanofibers%22">Nanofibers</searchLink><br /><searchLink fieldCode="DE" term="%22Early+detection+of+cancer%22">Early detection of cancer</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Cervical cancer is a major global health concern, characterized by its high incidence and mortality rates. The detection of tumor markers is crucial for managing cancer, making treatment decisions, and monitoring disease progression. Vascular endothelial growth factor (VEGF) and programmed death-ligand 1 (PDL-1) are key targets in cervical cancer therapy and valuable biomarkers in predicting treatment response and prognosis. In this study, we found that combining the measurement of VEGF and soluble PDL-1 can be used for diagnosing and evaluating the progression of cervical cancer. To explore a more convenient approach for detecting and assessing cervical cancer, we designed and prepared an engineered fd bacteriophage, a human-safe viral nanofiber, equipped with two peptides targeting VEGF and PD-L1. The dual-display phage nanofiber specifically recognizes and binds to both proteins. Utilizing this nanofiber as a novel capture agent, we developed a new enzyme-linked immunosorbent assay (ELISA) method. This method shows significantly enhanced detection sensitivity compared to conventional ELISA methods, which use either anti-VEGF or anti-PD-L1 antibodies as capture agents. Therefore, the phage dual-display nanofiber presents significant potential in detecting cancer markers, evaluating medication efficacy, and advancing immunotherapy drug development. Key points: • The combined measurement of VEGF and soluble Programmed Death-Ligand 1(sPD-L1) demonstrates an additive effect in the diagnosis of cervical cancer. Fd phage nanofibers have been ingeniously engineered to display peptides that bind to VEGF and PD-L1, enabling the simultaneous detection of both proteins within a single assay • Genetically engineered phage nanofibers, adorned with two distinct peptides, can be utilized for the diagnosis and prognosis of cancer and can be mass-produced cost-effectively through bacterial infections • Employing dual-display fd phage nanofibers as capture probes, the phage ELISA method exhibited significantly enhanced detection sensitivity compared to traditional sandwich ELISA. Furthermore, phage ELISA facilitates the detection of a single protein or the simultaneous detection of multiple proteins, rendering them powerful tools for protein analysis and diagnosis across various fields, including cancer research [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Applied Microbiology & Biotechnology is the property of Springer Nature 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: 10.1007/s00253-024-13058-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: Cervical cancer Type: general – SubjectFull: Papillomaviruses Type: general – SubjectFull: Programmed death-ligand 1 Type: general – SubjectFull: Bacteriophages Type: general – SubjectFull: Enzyme-linked immunosorbent assay Type: general – SubjectFull: Vascular endothelial growth factors Type: general – SubjectFull: Tumor markers Type: general – SubjectFull: Nanofibers Type: general – SubjectFull: Early detection of cancer Type: general Titles: – TitleFull: Advanced detection of cervical cancer biomarkers using engineered filamentous phage nanofibers. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou, Xu – PersonEntity: Name: NameFull: Wang, Yicun – PersonEntity: Name: NameFull: Bao, Meijing – PersonEntity: Name: NameFull: Chu, Yuqing – PersonEntity: Name: NameFull: Liu, Ruixue – PersonEntity: Name: NameFull: Chen, Qi – PersonEntity: Name: NameFull: Lin, Yang IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 02 Text: 2/19/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 01757598 Numbering: – Type: volume Value: 108 – Type: issue Value: 1 Titles: – TitleFull: Applied Microbiology & Biotechnology Type: main |
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