Recent advances in biomarker discovery in solid organ transplant by proteomics.
Recent advances in biomarker discovery in solid organ transplant by proteomics.
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DOI：
10.1586/epr.11.66
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发表时间：
2011-12
影响因子：
3.4
通讯作者：
Sarwal MM
中科院分区：
文献类型：
--
作者：
Sigdel TK;Sarwal MM
在实体器官移植领域中鉴定和临床使用更敏感和特异的生物标志物是医学上的迫切需要。由于免疫抑制治疗的最新进展，实体器官移植在移植器官的短期存活率方面有所改善。然而，目前可用的同种异体移植物监测方法并不是最佳的。生物分子（如基因、mRNA和蛋白质）测定方法的最新进展有助于确定可用于监测移植器官的替代生物标志物。这些高通量“组学”方法可以帮助研究人员显着加快鉴定和验证步骤，这是生物标志物发现工作的关键因素。尽管如此，识别更敏感和更特异的生物标志物的进展仍然比预期的要慢得多。在这篇文章中，我们评估了近年来在不同实体器官移植中使用蛋白质组学工具发现生物标志物的现状。本文综述了蛋白质组学方法在生物标志物发现中的研究进展和现状，并沿着了蛋白质组学方法在生物标志物发现中存在的问题。最后，我们将触及个性化医疗作为未来更好地管理移植器官的方向，并提供我们认为可能是在这一领域取得成功的秘诀。
The identification and clinical use of more sensitive and specific biomarkers in the field of solid organ transplantation is an urgent need in medicine. Solid organ transplantation has seen improvements in the short-term survival of transplanted organs due to recent advancements in immunosuppressive therapy. However, the currently available methods of allograft monitoring are not optimal. Recent advancements in assaying methods for biomolecules such as genes, mRNA and proteins have helped to identify surrogate biomarkers that can be used to monitor the transplanted organ. These high-throughput ‘omic’ methods can help researchers to significantly speed up the identification and the validation steps, which are crucial factors for biomarker discovery efforts. Still, the progress towards identifying more sensitive and specific biomarkers remains a great deal slower than expected. In this article, we have evaluated the current status of biomarker discovery using proteomics tools in different solid organ transplants in recent years. This article summarizes recent reports and current status, along with the hurdles in efficient biomarker discovery of protein biomarkers using proteomics approaches. Finally, we will touch upon personalized medicine as a future direction for better management of transplanted organs, and provide what we think could be a recipe for success in this field.
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影响因子：
30.8
作者：
Holt, Kathryn E.;Parkhill, Julian;Mazzoni, Camila J.;Roumagnac, Philippe;Weill, Francois-Xavier;Goodhead, Ian;Rance, Richard;Baker, Stephen;Maskell, Duncan J.;Wain, John;Dolecek, Christiane;Achtman, Mark;Dougan, Gordon
通讯作者：
Dougan, Gordon
影响因子：
64.5
作者：
Cox, Juergen;Mann, Matthias
通讯作者：
Mann, Matthias
影响因子：
3.7
作者：
Folli, Franco;Guzzi, Valeria;Fiorina, Paolo
通讯作者：
Fiorina, Paolo
影响因子：
19.6
作者：
Hollmen, Maria E.;Kyllonen, Lauri E.;Salmela, Kaija T.
通讯作者：
Salmela, Kaija T.
DOI：
10.1164/rccm.200201-003pp
发表时间：
2002-08-15
影响因子：
24.7
作者：
Estenne, M;Hertz, MI
通讯作者：
Hertz, MI