Literature DB >> 30273979

Characterisation of impaired wound healing in a preclinical model of induced diabetes using wide-field imaging and conventional immunohistochemistry assays.

Mayer Saidian1,2, Jonathan R T Lakey3, Adrien Ponticorvo2, Rebecca Rowland2, Melissa Baldado2, Joshua Williams2, Maaikee Pronda2, Michael Alexander3, Antonio Flores3, Li Shiri3, Stellar Zhang3, Bernard Choi2,4,5, Roni Kohen1, Bruce J Tromberg2,4, Anthony J Durkin2,4.   

Abstract

Major complications of diabetes lead to inflammation and oxidative stress, delayed wound healing, and persistent ulcers. The high morbidity, mortality rate, and associated costs of management suggest a need for non-invasive methods that will enable the early detection of at-risk tissue. We have compared the wound-healing process that occurs in streptozotocin (STZ)-treated diabetic rats with non-diabetic controls using contrast changes in colour photography (ie, Weber Contrast) and the non-invasive optical method Spatial Frequency Domain Imaging (SFDI). This technology can be used to quantify the structural and metabolic properties of in-vivo tissue by measuring oxyhaemoglobin concentration (HbO2 ), deoxyhaemoglobin concentration (Hb), and oxygen saturation (StO2 ) within the visible boundaries of each wound. We also evaluated the changes in inducible nitric oxide synthase (iNOS) in the dermis using immunohistochemistry. Contrast changes in colour photographs showed that diabetic rats healed at a slower rate in comparison with non-diabetic control, with the most significant change occurring at 7 days after the punch biopsy. We observed lower HbO2 , StO2 , and elevated Hb concentrations in the diabetic wounds. The iNOS level was higher in the dermis of the diabetic rats compared with the non-diabetic rats. Our results showed that, in diabetes, there is higher level of iNOS that can lead to an observed reduction in HbO2 levels. iNOS is linked to increased inflammation, leading to prolonged wound healing. Our results suggest that SFDI has potential as a non-invasive assessment of markers of wound-healing impairment.
© 2018 Medicalhelplines.com Inc and John Wiley & Sons Ltd.

Entities:  

Keywords:  diabetes; haemodynamics; inflammation; spatial frequency domain imaging; wound healing

Mesh:

Substances:

Year:  2018        PMID: 30273979      PMCID: PMC6329645          DOI: 10.1111/iwj.13005

Source DB:  PubMed          Journal:  Int Wound J        ISSN: 1742-4801            Impact factor:   3.315


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2.  A Quantitative Assessment of Wound Healing With Oxygenated Micro/Nanobubbles in a Preclinical Burn Model.

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3.  Characterisation of impaired wound healing in a preclinical model of induced diabetes using wide-field imaging and conventional immunohistochemistry assays.

Authors:  Mayer Saidian; Jonathan R T Lakey; Adrien Ponticorvo; Rebecca Rowland; Melissa Baldado; Joshua Williams; Maaikee Pronda; Michael Alexander; Antonio Flores; Li Shiri; Stellar Zhang; Bernard Choi; Roni Kohen; Bruce J Tromberg; Anthony J Durkin
Journal:  Int Wound J       Date:  2018-10-01       Impact factor: 3.315

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