Advances in non-invasive biosensing measures to monitor wound healing progression

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dc.citation.articleNumber952198en_US
dc.citation.journalTitleFrontiers in Bioengineering and Biotechnologyen_US
dc.citation.volumeNumber10en_US
dc.contributor.authorShort, Walker D.en_US
dc.contributor.authorOlutoye, Oluyinka O.en_US
dc.contributor.authorPadon, Benjamin W.en_US
dc.contributor.authorParikh, Umang M.en_US
dc.contributor.authorColchado, Danielen_US
dc.contributor.authorVangapandu, Himaen_US
dc.contributor.authorShams, Shayanen_US
dc.contributor.authorChi, Taiyunen_US
dc.contributor.authorJung, Jangwook P.en_US
dc.contributor.authorBalaji, Swathien_US
dc.date.accessioned2022-12-13T19:11:18Zen_US
dc.date.available2022-12-13T19:11:18Zen_US
dc.date.issued2022en_US
dc.description.abstractImpaired 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.en_US
dc.identifier.citationShort, Walker D., Olutoye, Oluyinka O., Padon, Benjamin W., et al.. "Advances in non-invasive biosensing measures to monitor wound healing progression." <i>Frontiers in Bioengineering and Biotechnology,</i> 10, (2022) Frontiers Media S.A.: https://doi.org/10.3389/fbioe.2022.952198.en_US
dc.identifier.digitalfbioe-10-952198en_US
dc.identifier.doihttps://doi.org/10.3389/fbioe.2022.952198en_US
dc.identifier.urihttps://hdl.handle.net/1911/114098en_US
dc.language.isoengen_US
dc.publisherFrontiers Media S.A.en_US
dc.rightsThis 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.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleAdvances in non-invasive biosensing measures to monitor wound healing progressionen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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