T-Cell Cytokines as Predictive Markers of the Risk of Allograft Rejection

免疫抑制 医学 免疫学 移植 药效学 促炎细胞因子 免疫系统 移植排斥反应 代理终结点 药理学 药代动力学 内科学 炎症
作者
Mercé Brunet,Olga Millán López,Marcos López‐Hoyos
出处
期刊:Therapeutic Drug Monitoring [Ovid Technologies (Wolters Kluwer)]
卷期号:38 (Supplement 1): S21-S28 被引量:13
标识
DOI:10.1097/ftd.0000000000000253
摘要

Over the last decade, several biomarkers and surrogate markers have surfaced as promising predictive markers of risk of rejection in solid organ transplantation. The monitoring of these markers can help to improve graft and recipient care by personalizing immunomodulatory therapies. The complex immune system response against an implanted graft can change during long-term follow-up, and the dynamic balance between effector and regulatory T-cell populations is a crucial factor in antidonor response, risk of rejection, and immunosuppression requirements. Therefore, at any time before and after transplantation, T-effector activity, which is associated with increased production and release of proinflammatory cytokines, can be a surrogate marker of the risk of rejection and need for immunosuppression. In addition, immunosuppressive drugs may have a different effect in each individual patient. The pharmacokinetics and pharmacodynamics of these drugs show high interpatient variability, and pharmacodynamic markers, strongly associated with the specific mechanism of action, can potentially be used to measure individual susceptibility to a specific immunosuppressive agent. The monitoring of a panel of valid biomarkers can improve patient stratification and the selection of immunosuppressive drugs. After transplantation, therapy can be adjusted based on the prediction of rejection episodes (maintained alloreactivity), the prognosis of allograft damage, and the individual's response to the drugs. This review will focus on current data indicating that changes in the T-cell production of the intracellular cytokines interferon-γ and interleukin-2 could be used to predict the risk of rejection and to guide immunosuppressive therapy in transplant recipients.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
毛毛完成签到,获得积分10
刚刚
黑闷蛋完成签到,获得积分10
1秒前
2秒前
阿迪发布了新的文献求助10
2秒前
3秒前
万能图书馆应助黑闷蛋采纳,获得10
3秒前
Lian发布了新的文献求助10
4秒前
6秒前
FashionBoy应助zjq采纳,获得10
6秒前
自家老王发布了新的文献求助10
7秒前
偏i意气用事完成签到,获得积分10
7秒前
Echo完成签到,获得积分10
8秒前
Blue发布了新的文献求助10
9秒前
9秒前
cgh发布了新的文献求助10
11秒前
11秒前
隐形曼青应助SSU采纳,获得10
12秒前
zhangjian19237完成签到,获得积分10
13秒前
NING完成签到,获得积分10
15秒前
TORCH完成签到,获得积分10
15秒前
哈喽发布了新的文献求助10
16秒前
zm发布了新的文献求助10
16秒前
qiu发布了新的文献求助10
16秒前
W_G完成签到,获得积分10
17秒前
18秒前
18秒前
andrele应助七羽采纳,获得50
18秒前
我有一个博士梦完成签到,获得积分10
19秒前
大模型应助TORCH采纳,获得10
20秒前
21秒前
月明完成签到,获得积分10
21秒前
22秒前
23秒前
SSU发布了新的文献求助10
24秒前
香蕉觅云应助微澜采纳,获得10
25秒前
桐桐应助kb采纳,获得10
25秒前
马华化完成签到,获得积分10
25秒前
Lee完成签到,获得积分10
26秒前
小新同学完成签到,获得积分20
27秒前
27秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
Write Like a Chemist: A Guide and Resource (第二版) 600
Mixed-anion Compounds 600
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Earth System Geophysics 500
Aspects of Babylonian celestial divination: the lunar eclipse tablets of Enūma Anu Enlil 500
Geochemistry, 2nd Edition 地球化学经典教科书第二版 401
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3200070
求助须知:如何正确求助?哪些是违规求助? 2849818
关于积分的说明 8070095
捐赠科研通 2513658
什么是DOI,文献DOI怎么找? 1346482
科研通“疑难数据库(出版商)”最低求助积分说明 640227
邀请新用户注册赠送积分活动 610102