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Multi-modal assessment of liver grafts undergoing normothermic machine perfusion to stratify quality and deliver therapy

Multi-modal assessment of liver grafts undergoing normothermic machine perfusion to stratify quality and deliver therapy
对接受常温机器灌注的肝移植物进行多模式评估,以分层质量并提供治疗
批准号:
MR/V03779X/1
负责人:
Gabriel Oniscu
金额:
$29.57万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
未结题
起止时间:
2021 至 --

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中文摘要
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英文摘要
Liver transplantation is a curative treatment for patients with end stage liver disease but a global shortage of donor organs means that many patients die waiting for suitable liver. To address this, livers from older donors with increasing comorbidity and livers donated after circulatory death areroutinely considered. Many of these livers are turned down for transplantation due to concerns about function and appearance. The critical decisions are based on scarce functional data availableat the time of donation and subjective appearance as judged by the retrieving surgeons.Normothermic perfusion technology is now increasingly used in clinical practice and appears to improve the utilisation of organs for transplantation and provide better clinical outcomes. Normothermic perfusion of the liver maintains the organ in a functional state outside the body and delivers oxygen and nutrients at normal body temperature for up to a week. This allows a dynamic assessment of the function of the organ increasing surgeons' confidence to use the organ. At present this assessment is based on limited biochemical parameters.Normothermic perfusion of the organs offer several additional opportunities which are yet to be developed in the clinical setting, which include an in-depth assessment of liver quality and function, delivery of new therapies directly into the liver and evaluation of how these therapies affect the quality and function of the organ. We want to explore some of these opportunities by perfusing human organs retrieved for the purpose of transplantation from consenting donors.In the first instance, we want to assess the liver in real time combining imaging modalities (such as Raman spectroscopy or multiplex multi-sensing fiber optics) with analysis of the metabolic function of the liver using technologies such as proteinomics, cell free DNA, single cell sequencing. This will allow us to understand the difference in how brain death (DBD) and circulatory death (DCD) affect the livers and its various cells and develop potential therapies to target and repair these negative effects.Secondly, we want to deliver cell therapies directly into the liver whilst kept alive on the machine. We will focus on therapies directed at improving the quality of the liver as identified in the first part of the project and isolate the cells for these therapies from livers that are unsuitable for human transplantation to maximise organ utilisation.Using the multi-modal assessment strategies developed in the first stage of the project we will evaluate how effective these therapies are in improving the quality of the liver.If the organs are transplanted, we will use machine learning and informatics to analyse data generated from these assays and correlate with the clinical outcome post transplant. If the organs are found unsuitable by clinicians and there is the next of kin has consented to use these organs for research, we will isolate the cells from these liver to use as therapies.This proposed research will generate novel clinically relevant biomarkers and develop new real time technology to assess in depth the quality of the liver grafts and the effect of any interventional therapy. This will have a significant clinical impact allowing an increase in organ utilisation and minimise organ discard. Secondly, establishing the concept of liver derived cell therapies and delivery of therapies targeted to the organ during machine perfusion, will allow the utilisation of all donated organs and enable the development of organ repair centres where such therapies can be delivered in appropriate environments and their effects assessed using the multi-modal assessment tools developed.
期刊论文(5)
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会议论文
DOI: 10.3389/ti.2022.10493
发表时间: 2022
期刊: TRANSPLANT INTERNATIONAL
影响因子: 3.1
作者: [Hunt, Fiona, Johnston, Chris J. C., Coutts, Lesley, Sherif, Ahmed E., Farwell, Lynsey, Stutchfield, Ben M., Sewpaul, Avi, Sutherland, Andrew, Babu, Benoy I., Currie, Ian S., Oniscu, Gabriel C.]
通讯作者: Oniscu, Gabriel C.
DOI: 10.1002/lt.26512
发表时间: 2022-10
期刊: Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
影响因子: --
作者: []
通讯作者:
国内基金
海外基金
基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
  • 批准号:
    61672236
  • 项目类别:
    面上项目
  • 资助金额:
    64.0万元
  • 批准年份:
    2016
  • 负责人:
    王骏
  • 依托单位: