CC BY-NC-ND 4.0 · Indian J Plast Surg 2022; 55(03): 268-271
DOI: 10.1055/s-0042-1756130
Original Article

A Novel Model of Perifascial Areolar Tissue Transplant in Rats

Junya Oshima
1   Department of Plastic, Reconstructive, and Hand Surgery, University of Tsukuba, Tsukuba, Japan
,
1   Department of Plastic, Reconstructive, and Hand Surgery, University of Tsukuba, Tsukuba, Japan
,
1   Department of Plastic, Reconstructive, and Hand Surgery, University of Tsukuba, Tsukuba, Japan
,
Mitsuru Sekido
1   Department of Plastic, Reconstructive, and Hand Surgery, University of Tsukuba, Tsukuba, Japan
› Author Affiliations
Funding The authors disclose receipt of the following partial financial support for the research, authorship, and/or publication of this article: JSPS Kakenhi, grant number 18K09475.

Abstract

Background Perifascial areolar tissue (PAT) transplant is a method of transplanting loose connective tissue harvested in a sheet form from above the fascia to the wound bed and is effective for wounds with exposed ischemic tissue. However, the engraftment mechanism is unknown, and no animal models of PAT transplant for wound healing exist.

Methods In this study, we harvested connective tissue from the backs of Wistar rats in a sheet form to simulate a human PAT transplant. The PAT was affixed to exposed bone of the head.

Results In the PAT(+) group, the wound areas gradually decreased due to epithelialization and contraction. The wound area of the PAT(+) group was significantly smaller than that of the PAT(−) group.

Conclusions This clinically relevant rat model is useful for elucidating the mechanism of the PAT transplant and establishing a reliable surgical method.

Research Ethics and Patient Consent

All the study procedures were performed in accordance with the guidelines of our institutional animal care and use committee (approval number 2019-401).




Publication History

Article published online:
25 September 2022

© 2022. Association of Plastic Surgeons of India. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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