Challenges in translating plasma proteomics from bench to bedside: update from the NHLBI Clinical Proteomics Programs

被引:73
作者
Gerszten, Robert E. [1 ,2 ]
Accurso, Frank [3 ]
Bernard, Gordon R. [4 ]
Caprioli, Richard M. [5 ]
Klee, Eric W. [6 ]
Klee, George G. [6 ]
Kullo, Iftikhar [7 ]
Laguna, Theresa A. [3 ]
Roth, Frederick P.
Sabatine, Marc [8 ,9 ]
Srinivas, Pothur [10 ]
Wang, Thomas J. [1 ,2 ]
Ware, Lorraine B. [4 ]
机构
[1] Massachusetts Gen Hosp, Div Cardiol, Boston, MA 02114 USA
[2] Massachusetts Gen Hosp, Ctr Immunol & Inflammatory Dis, Boston, MA 02114 USA
[3] Univ Colorado Denver & Hlth Sci, Dept Pediat, Denver, CO USA
[4] Vanderbilt Univ, Dept Med, Div Allergy Pulm & Crit Care Med, Nashville, TN USA
[5] Vanderbilt Univ, Med Ctr, Mass Spectrometry Res Ctr, Nashville, TN USA
[6] Mayo Clin & Mayo Fdn, Dept Lab Med & Pathol, Rochester, MN 55905 USA
[7] Mayo Clin, Div Cardiovasc Dis, Rochester, MN USA
[8] Harvard Univ, Sch Med, Brigham & Womens Hosp, Div Cardiovasc, Boston, MA USA
[9] Harvard Univ, Sch Med, Dept Med, Boston, MA USA
[10] NHLBI, NIH, Bethesda, MD 20892 USA
关键词
protein content; proteome;
D O I
10.1152/ajplung.00044.2008
中图分类号
Q4 [生理学];
学科分类号
071003 [生理学];
摘要
The emerging scientific field of proteomics encompasses the identification, characterization, and quantification of the protein content or proteome of whole cells, tissues, or body fluids. The potential for proteomic technologies to identify and quantify novel proteins in the plasma that can function as biomarkers of the presence or severity of clinical disease states holds great promise for clinical use. However, there are many challenges in translating plasma proteomics from bench to bedside, and relatively few plasma biomarkers have successfully transitioned from proteomic discovery to routine clinical use. Key barriers to this translation include the need for "orthogonal" biomarkers (i.e., uncorrelated with existing markers), the complexity of the proteome in biological samples, the presence of high abundance proteins such as albumin in biological samples that hinder detection of low abundance proteins, false positive associations that occur with analysis of high dimensional datasets, and the limited understanding of the effects of growth, development, and age on the normal plasma proteome. Strategies to overcome these challenges are discussed.
引用
收藏
页码:L16 / L22
页数:7
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