Literature DB >> 18644233

Considerations for selecting the correct animal model for dermal wound-healing studies.

William J Lindblad1.   

Abstract

An array of animal models has been described to elucidate wound-healing processes and access the impact of various therapies on healing. However, which model to use for different applications may not be immediately apparent. This article will highlight less frequently used animal models so as to illustrate their utility and increase their use. Selection of an animal model should include consideration of inter-species anatomical and physiological attributes that may confound data interpretation, differences in how different types of wounds heal, and sample size and analytical techniques to be applied. Importantly, the use of human beings should be considered, as techniques have been developed that allow for histological, biochemical and molecular analyses of healing parameters on a scale that could be used in humans.

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Year:  2008        PMID: 18644233     DOI: 10.1163/156856208784909390

Source DB:  PubMed          Journal:  J Biomater Sci Polym Ed        ISSN: 0920-5063            Impact factor:   3.517


  34 in total

1.  Computational Modeling of Inflammation and Wound Healing.

Authors:  Cordelia Ziraldo; Qi Mi; Gary An; Yoram Vodovotz
Journal:  Adv Wound Care (New Rochelle)       Date:  2013-11       Impact factor: 4.730

Review 2.  Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine: A Multidisciplinary Perspective.

Authors:  Ghassan S Kassab; Gary An; Edward A Sander; Michael I Miga; Julius M Guccione; Songbai Ji; Yoram Vodovotz
Journal:  Ann Biomed Eng       Date:  2016-03-25       Impact factor: 3.934

3.  Investigation of Skin Wound Healing Using a Mouse Model.

Authors:  Jianmin Wu; Ning Xu Landén
Journal:  Methods Mol Biol       Date:  2020

4.  Murine model of wound healing.

Authors:  Louise Dunn; Hamish C G Prosser; Joanne T M Tan; Laura Z Vanags; Martin K C Ng; Christina A Bursill
Journal:  J Vis Exp       Date:  2013-05-28       Impact factor: 1.355

5.  Platelet-rich fibrin matrix improves wound angiogenesis via inducing endothelial cell proliferation.

Authors:  Sashwati Roy; Jason Driggs; Haytham Elgharably; Sabyasachi Biswas; Muna Findley; Savita Khanna; Urmila Gnyawali; Valerie K Bergdall; Chandan K Sen
Journal:  Wound Repair Regen       Date:  2011-11       Impact factor: 3.617

6.  Human skin wounds: a major and snowballing threat to public health and the economy.

Authors:  Chandan K Sen; Gayle M Gordillo; Sashwati Roy; Robert Kirsner; Lynn Lambert; Thomas K Hunt; Finn Gottrup; Geoffrey C Gurtner; Michael T Longaker
Journal:  Wound Repair Regen       Date:  2009 Nov-Dec       Impact factor: 3.617

7.  A RHAMM mimetic peptide blocks hyaluronan signaling and reduces inflammation and fibrogenesis in excisional skin wounds.

Authors:  Cornelia Tolg; Sara R Hamilton; Ewa Zalinska; Lori McCulloch; Ripal Amin; Natalia Akentieva; Francoise Winnik; Rashmin Savani; Darius J Bagli; Len G Luyt; Mary K Cowman; Jim B McCarthy; Eva A Turley
Journal:  Am J Pathol       Date:  2012-08-11       Impact factor: 4.307

8.  Thiol-ene Michael-type formation of gelatin/poly(ethylene glycol) biomatrices for three-dimensional mesenchymal stromal/stem cell administration to cutaneous wounds.

Authors:  Kedi Xu; David Antonio Cantu; Yao Fu; Jaehyup Kim; Xiaoxiang Zheng; Peiman Hematti; W John Kao
Journal:  Acta Biomater       Date:  2013-06-27       Impact factor: 8.947

Review 9.  Keratinocyte-Secreted Heat Shock Protein-90alpha: Leading Wound Reepithelialization and Closure.

Authors:  Ayesha Bhatia; Kathryn O'Brien; Mei Chen; David T Woodley; Wei Li
Journal:  Adv Wound Care (New Rochelle)       Date:  2016-04-01       Impact factor: 4.730

Review 10.  Axolotl as a Model to Study Scarless Wound Healing in Vertebrates: Role of the Transforming Growth Factor Beta Signaling Pathway.

Authors:  Jean-François Denis; Mathieu Lévesque; Simon D Tran; Aldo-Joseph Camarda; Stéphane Roy
Journal:  Adv Wound Care (New Rochelle)       Date:  2013-06       Impact factor: 4.730

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