Label-Free Proteomics Approach Characterizes Plasma Protein Signature of Donor Brain Death

医学 签名(拓扑) 蛋白质组学 计算生物学 遗传学 基因 生物 几何学 数学
作者
J Lukác,M. Saraswata,S. Joenvääräa,E. Holmström,Kishor Dhaygude,R. Krebs,Antti I. Nykänen,Risto Renkonen,Karl Lemström
出处
期刊:Journal of Heart and Lung Transplantation [Elsevier BV]
卷期号:38 (4): S159-S159 被引量:1
标识
DOI:10.1016/j.healun.2019.01.380
摘要

Purpose

Despite recent advances in donation after circulatory death, transplants from brain-dead donors remain the sole source in heart transplantation (HTx) worldwide. Due to organ shortage, marginal donors are increasingly used and the utilization of transplants becomes markedly more challenging. They undergo invariably brain death that induces a systemic cytokine and catecholamine storm that lead to systemic inflammation, labile hemodynamics, and organ hypoperfusion. Together, these can damage the heart and aggravate later occurring graft injury, and ultimately, compromise graft function. However, the effect of donor brain death on allografts is not well understood.

Methods

In a separate prospective, blinded single-center trial, we collected donor plasma samples and relevant clinical patient data from 50 HTx brain-dead donors and as controls plasma samples from age- and gender-matched 23 healthy volunteers. Quantitative label-free proteomics in high definition MSE mode (HDMSE) was carried out on the samples. Various statistical analyses were performed on quantitative proteomics data to obtain the most reliably distinguishing proteins, which classify the donors vs controls.

Results

With two or more unique proteins per identification, 463 proteins were quantified in our pilot study. A complete separation between donors and controls based on a set of 278 proteins (p-value <0.05) was seen in supervised and unsupervised classification techniques such as orthogonal projections on latent structure-discriminant analysis (OPLS-DA) and self-organizing maps. The set of proteins was studied further with network, pathway and protein-protein interaction analyses. Using OPLS-DA S-plot, we identified a protein set that completely separated donors from healthy individuals.

Conclusion

To our knowledge, we are the first one elucidating the proteomic signature of brain-death in human blood samples with open-label proteomics. We show that brain death alters protein expression, and that these changes are dependent on the donor demographics. The molecular pathway analyses characterize these changes in a systemic perspective. We found a set of plasma proteins that we suggest as a diagnostic blood biomarker panel to detect high risk heart transplants and we believe that we may identify novel treatment targets induced in noxious pathways after brain death.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
dgz应助天道酬勤采纳,获得30
刚刚
zxtwins完成签到,获得积分10
刚刚
烟花应助27758采纳,获得10
刚刚
aaaaaa完成签到,获得积分20
1秒前
HXW发布了新的文献求助10
1秒前
醒醒完成签到,获得积分10
2秒前
2秒前
MchemG应助艺术家采纳,获得20
2秒前
赵牛牛发布了新的文献求助10
2秒前
3秒前
3秒前
3秒前
GSQ发布了新的文献求助10
3秒前
木头发布了新的文献求助10
3秒前
CR7发布了新的文献求助10
4秒前
Yuanyuan发布了新的文献求助10
4秒前
5秒前
Lucas应助aaaaaa采纳,获得10
5秒前
XHL完成签到,获得积分10
5秒前
汉堡包应助钱念波采纳,获得10
5秒前
缓慢发卡完成签到,获得积分10
5秒前
醒醒发布了新的文献求助10
6秒前
6秒前
7秒前
小喜完成签到,获得积分10
7秒前
王旭东完成签到,获得积分10
7秒前
ivy完成签到,获得积分10
7秒前
依牧发布了新的文献求助10
8秒前
王瑞媛发布了新的文献求助10
8秒前
Yu发布了新的文献求助10
8秒前
9秒前
科研通AI6.3应助GSQ采纳,获得10
9秒前
sandra完成签到,获得积分10
9秒前
D33sama完成签到,获得积分0
10秒前
深情安青应助澳子哥采纳,获得10
10秒前
mczhu发布了新的文献求助10
10秒前
bkagyin应助mingjing采纳,获得10
10秒前
ZDY0506发布了新的文献求助10
10秒前
不回首完成签到 ,获得积分10
11秒前
科研通AI6.4应助YML采纳,获得10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Pulse width control of a 3-phase inverter with non sinusoidal phase voltages 777
Signals, Systems, and Signal Processing 610
Research Methods for Applied Linguistics: A Practical Guide 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6400713
求助须知:如何正确求助?哪些是违规求助? 8217528
关于积分的说明 17414225
捐赠科研通 5453742
什么是DOI,文献DOI怎么找? 2882258
邀请新用户注册赠送积分活动 1858825
关于科研通互助平台的介绍 1700576