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Advances in non-invasive biosensing measures to monitor wound healing progression
Impaired wound healing is a significant financial and medical burden. The synthesis and deposition of extracellular matrix (ECM) in a new wound is a dynamic process that is constantly changing and adapting to the biochemical and biomechanical signaling from the extracellular microenvironments of the...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539744/ https://www.ncbi.nlm.nih.gov/pubmed/36213059 http://dx.doi.org/10.3389/fbioe.2022.952198 |
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author | Short, Walker D. Olutoye, Oluyinka O. Padon, Benjamin W. Parikh, Umang M. Colchado, Daniel Vangapandu, Hima Shams, Shayan Chi, Taiyun Jung, Jangwook P. Balaji, Swathi |
author_facet | Short, Walker D. Olutoye, Oluyinka O. Padon, Benjamin W. Parikh, Umang M. Colchado, Daniel Vangapandu, Hima Shams, Shayan Chi, Taiyun Jung, Jangwook P. Balaji, Swathi |
author_sort | Short, Walker D. |
collection | PubMed |
description | Impaired wound healing is a significant financial and medical burden. The synthesis and deposition of extracellular matrix (ECM) in a new wound is a dynamic process that is constantly changing and adapting to the biochemical and biomechanical signaling from the extracellular microenvironments of the wound. This drives either a regenerative or fibrotic and scar-forming healing outcome. Disruptions in ECM deposition, structure, and composition lead to impaired healing in diseased states, such as in diabetes. Valid measures of the principal determinants of successful ECM deposition and wound healing include lack of bacterial contamination, good tissue perfusion, and reduced mechanical injury and strain. These measures are used by wound-care providers to intervene upon the healing wound to steer healing toward a more functional phenotype with improved structural integrity and healing outcomes and to prevent adverse wound developments. In this review, we discuss bioengineering advances in 1) non-invasive detection of biologic and physiologic factors of the healing wound, 2) visualizing and modeling the ECM, and 3) computational tools that efficiently evaluate the complex data acquired from the wounds based on basic science, preclinical, translational and clinical studies, that would allow us to prognosticate healing outcomes and intervene effectively. We focus on bioelectronics and biologic interfaces of the sensors and actuators for real time biosensing and actuation of the tissues. We also discuss high-resolution, advanced imaging techniques, which go beyond traditional confocal and fluorescence microscopy to visualize microscopic details of the composition of the wound matrix, linearity of collagen, and live tracking of components within the wound microenvironment. Computational modeling of the wound matrix, including partial differential equation datasets as well as machine learning models that can serve as powerful tools for physicians to guide their decision-making process are discussed. |
format | Online Article Text |
id | pubmed-9539744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95397442022-10-08 Advances in non-invasive biosensing measures to monitor wound healing progression Short, Walker D. Olutoye, Oluyinka O. Padon, Benjamin W. Parikh, Umang M. Colchado, Daniel Vangapandu, Hima Shams, Shayan Chi, Taiyun Jung, Jangwook P. Balaji, Swathi Front Bioeng Biotechnol Bioengineering and Biotechnology Impaired wound healing is a significant financial and medical burden. The synthesis and deposition of extracellular matrix (ECM) in a new wound is a dynamic process that is constantly changing and adapting to the biochemical and biomechanical signaling from the extracellular microenvironments of the wound. This drives either a regenerative or fibrotic and scar-forming healing outcome. Disruptions in ECM deposition, structure, and composition lead to impaired healing in diseased states, such as in diabetes. Valid measures of the principal determinants of successful ECM deposition and wound healing include lack of bacterial contamination, good tissue perfusion, and reduced mechanical injury and strain. These measures are used by wound-care providers to intervene upon the healing wound to steer healing toward a more functional phenotype with improved structural integrity and healing outcomes and to prevent adverse wound developments. In this review, we discuss bioengineering advances in 1) non-invasive detection of biologic and physiologic factors of the healing wound, 2) visualizing and modeling the ECM, and 3) computational tools that efficiently evaluate the complex data acquired from the wounds based on basic science, preclinical, translational and clinical studies, that would allow us to prognosticate healing outcomes and intervene effectively. We focus on bioelectronics and biologic interfaces of the sensors and actuators for real time biosensing and actuation of the tissues. We also discuss high-resolution, advanced imaging techniques, which go beyond traditional confocal and fluorescence microscopy to visualize microscopic details of the composition of the wound matrix, linearity of collagen, and live tracking of components within the wound microenvironment. Computational modeling of the wound matrix, including partial differential equation datasets as well as machine learning models that can serve as powerful tools for physicians to guide their decision-making process are discussed. Frontiers Media S.A. 2022-09-23 /pmc/articles/PMC9539744/ /pubmed/36213059 http://dx.doi.org/10.3389/fbioe.2022.952198 Text en Copyright © 2022 Short, Olutoye, Padon, Parikh, Colchado, Vangapandu, Shams, Chi, Jung and Balaji. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Short, Walker D. Olutoye, Oluyinka O. Padon, Benjamin W. Parikh, Umang M. Colchado, Daniel Vangapandu, Hima Shams, Shayan Chi, Taiyun Jung, Jangwook P. Balaji, Swathi Advances in non-invasive biosensing measures to monitor wound healing progression |
title | Advances in non-invasive biosensing measures to monitor wound healing progression |
title_full | Advances in non-invasive biosensing measures to monitor wound healing progression |
title_fullStr | Advances in non-invasive biosensing measures to monitor wound healing progression |
title_full_unstemmed | Advances in non-invasive biosensing measures to monitor wound healing progression |
title_short | Advances in non-invasive biosensing measures to monitor wound healing progression |
title_sort | advances in non-invasive biosensing measures to monitor wound healing progression |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539744/ https://www.ncbi.nlm.nih.gov/pubmed/36213059 http://dx.doi.org/10.3389/fbioe.2022.952198 |
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