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Fractal circuit sensors enable rapid quantification of biomarkers for donor lung assessment for transplantation
Biomarker profiling is being rapidly incorporated in many areas of modern medical practice to improve the precision of clinical decision-making. This potential improvement, however, has not been transferred to the practice of organ assessment and transplantation because previously developed gene-pro...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4643795/ https://www.ncbi.nlm.nih.gov/pubmed/26601233 http://dx.doi.org/10.1126/sciadv.1500417 |
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author | Sage, Andrew T. Besant, Justin D. Mahmoudian, Laili Poudineh, Mahla Bai, Xiaohui Zamel, Ricardo Hsin, Michael Sargent, Edward H. Cypel, Marcelo Liu, Mingyao Keshavjee, Shaf Kelley, Shana O. |
author_facet | Sage, Andrew T. Besant, Justin D. Mahmoudian, Laili Poudineh, Mahla Bai, Xiaohui Zamel, Ricardo Hsin, Michael Sargent, Edward H. Cypel, Marcelo Liu, Mingyao Keshavjee, Shaf Kelley, Shana O. |
author_sort | Sage, Andrew T. |
collection | PubMed |
description | Biomarker profiling is being rapidly incorporated in many areas of modern medical practice to improve the precision of clinical decision-making. This potential improvement, however, has not been transferred to the practice of organ assessment and transplantation because previously developed gene-profiling techniques require an extended period of time to perform, making them unsuitable in the time-sensitive organ assessment process. We sought to develop a novel class of chip-based sensors that would enable rapid analysis of tissue levels of preimplantation mRNA markers that correlate with the development of primary graft dysfunction (PGD) in recipients after transplant. Using fractal circuit sensors (FraCS), three-dimensional metal structures with large surface areas, we were able to rapidly (<20 min) and reproducibly quantify small differences in the expression of interleukin-6 (IL-6), IL-10, and ATP11B mRNA in donor lung biopsies. A proof-of-concept study using 52 human donor lungs was performed to develop a model that was used to predict, with excellent sensitivity (74%) and specificity (91%), the incidence of PGD for a donor lung. Thus, the FraCS-based approach delivers a key predictive value test that could be applied to enhance transplant patient outcomes. This work provides an important step toward bringing rapid diagnostic mRNA profiling to clinical application in lung transplantation. |
format | Online Article Text |
id | pubmed-4643795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46437952015-11-23 Fractal circuit sensors enable rapid quantification of biomarkers for donor lung assessment for transplantation Sage, Andrew T. Besant, Justin D. Mahmoudian, Laili Poudineh, Mahla Bai, Xiaohui Zamel, Ricardo Hsin, Michael Sargent, Edward H. Cypel, Marcelo Liu, Mingyao Keshavjee, Shaf Kelley, Shana O. Sci Adv Research Articles Biomarker profiling is being rapidly incorporated in many areas of modern medical practice to improve the precision of clinical decision-making. This potential improvement, however, has not been transferred to the practice of organ assessment and transplantation because previously developed gene-profiling techniques require an extended period of time to perform, making them unsuitable in the time-sensitive organ assessment process. We sought to develop a novel class of chip-based sensors that would enable rapid analysis of tissue levels of preimplantation mRNA markers that correlate with the development of primary graft dysfunction (PGD) in recipients after transplant. Using fractal circuit sensors (FraCS), three-dimensional metal structures with large surface areas, we were able to rapidly (<20 min) and reproducibly quantify small differences in the expression of interleukin-6 (IL-6), IL-10, and ATP11B mRNA in donor lung biopsies. A proof-of-concept study using 52 human donor lungs was performed to develop a model that was used to predict, with excellent sensitivity (74%) and specificity (91%), the incidence of PGD for a donor lung. Thus, the FraCS-based approach delivers a key predictive value test that could be applied to enhance transplant patient outcomes. This work provides an important step toward bringing rapid diagnostic mRNA profiling to clinical application in lung transplantation. American Association for the Advancement of Science 2015-08-28 /pmc/articles/PMC4643795/ /pubmed/26601233 http://dx.doi.org/10.1126/sciadv.1500417 Text en Copyright © 2015, The Authors http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Sage, Andrew T. Besant, Justin D. Mahmoudian, Laili Poudineh, Mahla Bai, Xiaohui Zamel, Ricardo Hsin, Michael Sargent, Edward H. Cypel, Marcelo Liu, Mingyao Keshavjee, Shaf Kelley, Shana O. Fractal circuit sensors enable rapid quantification of biomarkers for donor lung assessment for transplantation |
title | Fractal circuit sensors enable rapid quantification of biomarkers for donor lung assessment for transplantation |
title_full | Fractal circuit sensors enable rapid quantification of biomarkers for donor lung assessment for transplantation |
title_fullStr | Fractal circuit sensors enable rapid quantification of biomarkers for donor lung assessment for transplantation |
title_full_unstemmed | Fractal circuit sensors enable rapid quantification of biomarkers for donor lung assessment for transplantation |
title_short | Fractal circuit sensors enable rapid quantification of biomarkers for donor lung assessment for transplantation |
title_sort | fractal circuit sensors enable rapid quantification of biomarkers for donor lung assessment for transplantation |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4643795/ https://www.ncbi.nlm.nih.gov/pubmed/26601233 http://dx.doi.org/10.1126/sciadv.1500417 |
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