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Automated Protein Biomarker Analysis: on-line extraction of clinical samples by Molecularly Imprinted Polymers
Robust biomarker quantification is essential for the accurate diagnosis of diseases and is of great value in cancer management. In this paper, an innovative diagnostic platform is presented which provides automated molecularly imprinted solid-phase extraction (MISPE) followed by liquid chromatograph...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355873/ https://www.ncbi.nlm.nih.gov/pubmed/28303910 http://dx.doi.org/10.1038/srep44298 |
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author | Rossetti, Cecilia Świtnicka-Plak, Magdalena A. Grønhaug Halvorsen, Trine Cormack, Peter A.G. Sellergren, Börje Reubsaet, Léon |
author_facet | Rossetti, Cecilia Świtnicka-Plak, Magdalena A. Grønhaug Halvorsen, Trine Cormack, Peter A.G. Sellergren, Börje Reubsaet, Léon |
author_sort | Rossetti, Cecilia |
collection | PubMed |
description | Robust biomarker quantification is essential for the accurate diagnosis of diseases and is of great value in cancer management. In this paper, an innovative diagnostic platform is presented which provides automated molecularly imprinted solid-phase extraction (MISPE) followed by liquid chromatography-mass spectrometry (LC-MS) for biomarker determination using ProGastrin Releasing Peptide (ProGRP), a highly sensitive biomarker for Small Cell Lung Cancer, as a model. Molecularly imprinted polymer microspheres were synthesized by precipitation polymerization and analytical optimization of the most promising material led to the development of an automated quantification method for ProGRP. The method enabled analysis of patient serum samples with elevated ProGRP levels. Particularly low sample volumes were permitted using the automated extraction within a method which was time-efficient, thereby demonstrating the potential of such a strategy in a clinical setting. |
format | Online Article Text |
id | pubmed-5355873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53558732017-03-22 Automated Protein Biomarker Analysis: on-line extraction of clinical samples by Molecularly Imprinted Polymers Rossetti, Cecilia Świtnicka-Plak, Magdalena A. Grønhaug Halvorsen, Trine Cormack, Peter A.G. Sellergren, Börje Reubsaet, Léon Sci Rep Article Robust biomarker quantification is essential for the accurate diagnosis of diseases and is of great value in cancer management. In this paper, an innovative diagnostic platform is presented which provides automated molecularly imprinted solid-phase extraction (MISPE) followed by liquid chromatography-mass spectrometry (LC-MS) for biomarker determination using ProGastrin Releasing Peptide (ProGRP), a highly sensitive biomarker for Small Cell Lung Cancer, as a model. Molecularly imprinted polymer microspheres were synthesized by precipitation polymerization and analytical optimization of the most promising material led to the development of an automated quantification method for ProGRP. The method enabled analysis of patient serum samples with elevated ProGRP levels. Particularly low sample volumes were permitted using the automated extraction within a method which was time-efficient, thereby demonstrating the potential of such a strategy in a clinical setting. Nature Publishing Group 2017-03-17 /pmc/articles/PMC5355873/ /pubmed/28303910 http://dx.doi.org/10.1038/srep44298 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Rossetti, Cecilia Świtnicka-Plak, Magdalena A. Grønhaug Halvorsen, Trine Cormack, Peter A.G. Sellergren, Börje Reubsaet, Léon Automated Protein Biomarker Analysis: on-line extraction of clinical samples by Molecularly Imprinted Polymers |
title | Automated Protein Biomarker Analysis: on-line extraction of clinical samples by Molecularly Imprinted Polymers |
title_full | Automated Protein Biomarker Analysis: on-line extraction of clinical samples by Molecularly Imprinted Polymers |
title_fullStr | Automated Protein Biomarker Analysis: on-line extraction of clinical samples by Molecularly Imprinted Polymers |
title_full_unstemmed | Automated Protein Biomarker Analysis: on-line extraction of clinical samples by Molecularly Imprinted Polymers |
title_short | Automated Protein Biomarker Analysis: on-line extraction of clinical samples by Molecularly Imprinted Polymers |
title_sort | automated protein biomarker analysis: on-line extraction of clinical samples by molecularly imprinted polymers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5355873/ https://www.ncbi.nlm.nih.gov/pubmed/28303910 http://dx.doi.org/10.1038/srep44298 |
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