Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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
_version_ 1784803556101980160
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
work_keys_str_mv AT shortwalkerd advancesinnoninvasivebiosensingmeasurestomonitorwoundhealingprogression
AT olutoyeoluyinkao advancesinnoninvasivebiosensingmeasurestomonitorwoundhealingprogression
AT padonbenjaminw advancesinnoninvasivebiosensingmeasurestomonitorwoundhealingprogression
AT parikhumangm advancesinnoninvasivebiosensingmeasurestomonitorwoundhealingprogression
AT colchadodaniel advancesinnoninvasivebiosensingmeasurestomonitorwoundhealingprogression
AT vangapanduhima advancesinnoninvasivebiosensingmeasurestomonitorwoundhealingprogression
AT shamsshayan advancesinnoninvasivebiosensingmeasurestomonitorwoundhealingprogression
AT chitaiyun advancesinnoninvasivebiosensingmeasurestomonitorwoundhealingprogression
AT jungjangwookp advancesinnoninvasivebiosensingmeasurestomonitorwoundhealingprogression
AT balajiswathi advancesinnoninvasivebiosensingmeasurestomonitorwoundhealingprogression