Literature DB >> 26680072

Key Points in Establishing a Model of Mouse Liver Transplantation.

D-Y Li1, X-J Shi1, W Li2, X-H Du1, G-Y Wang3.   

Abstract

The explosion of interest in research into the mouse genome and immune system has meant that the mouse orthotopic liver transplantation (MOLT) model has become a popular means of studying transplantation immunity, organ preservation, ischemia-reperfusion injury, and surgical techniques, among others. Although numerous modifications and refinements of surgical techniques have simplified the operation, the relatively short duration of postoperative survival after MOLT remains an obstacle to longer-term follow-up studies. Here, we summarize the scientific basis of MOLT and our experience improving and refining the model in six key areas: anesthesia, operative technique, perfusion and preservation of the liver, cuff technique, anhepatic time, and the value of rearterialization for the liver graft. We also compare the characteristics of different surgical techniques, and give recommendations for the best means of tailoring technique to the objectives of a study. In doing so, we aim to assist other investigators in establishing and perfecting the MOLT model in their routine research practice.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26680072     DOI: 10.1016/j.transproceed.2015.07.031

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  2 in total

1.  Impact of combined ischemic preconditioning and remote ischemic perconditioning on ischemia-reperfusion injury after liver transplantation.

Authors:  Ding-Yang Li; Wen-Tao Liu; Guang-Yi Wang; Xiao-Ju Shi
Journal:  Sci Rep       Date:  2018-12-19       Impact factor: 4.379

Review 2.  Details determining the success in establishing a mouse orthotopic liver transplantation model.

Authors:  Ting Li; Zheng Hu; Lei Wang; Guo-Yue Lv
Journal:  World J Gastroenterol       Date:  2020-07-21       Impact factor: 5.742

  2 in total

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