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
1秒前
1秒前
锦鲤完成签到,获得积分10
2秒前
3秒前
3秒前
杳鸢给苗苗043的求助进行了留言
3秒前
科研通AI2S应助阿冰采纳,获得10
4秒前
5秒前
God发布了新的文献求助10
7秒前
彭于晏应助Tessa采纳,获得10
9秒前
跳跃的土豆完成签到,获得积分10
9秒前
guangweiyan发布了新的文献求助10
10秒前
乔巧发布了新的文献求助10
10秒前
11秒前
Hello应助蝶步韶华采纳,获得10
11秒前
情怀应助normankasimodo采纳,获得10
11秒前
小马甲应助kls采纳,获得10
12秒前
陈帅帅发布了新的文献求助10
12秒前
13秒前
上官若男应助负责冰烟采纳,获得10
14秒前
16秒前
jcduoduo发布了新的文献求助10
17秒前
英俊的铭应助dan_1314采纳,获得10
17秒前
18秒前
qiqi发布了新的文献求助10
19秒前
北雁完成签到,获得积分10
19秒前
19秒前
19秒前
19秒前
19秒前
情怀应助无所吊谓采纳,获得10
21秒前
23秒前
24秒前
干雅柏发布了新的文献求助10
24秒前
25秒前
25秒前
kls发布了新的文献求助10
25秒前
劲秉应助十三不靠采纳,获得10
26秒前
跳跃的土豆关注了科研通微信公众号
26秒前
白桦林泪发布了新的文献求助10
28秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
Evolution 3rd edition 1500
保险藏宝图 1000
Lire en communiste 1000
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 700
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 700
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
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 3185517
求助须知:如何正确求助?哪些是违规求助? 2835837
关于积分的说明 8006683
捐赠科研通 2498311
什么是DOI,文献DOI怎么找? 1333375
科研通“疑难数据库(出版商)”最低求助积分说明 636828
邀请新用户注册赠送积分活动 604526