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	Proteomic fingerprints for potential application to early diagnosis of severe acute respiratory syndrome
	Kang, XX ; Xu, Y ; Wu, XY ; Liang, Y ; Wang, C ; Guo, JH ; Wang, YJ ; Chen, MH ; Wu, D ; Wang, YC ; Bi, SL ; Qiu, Y ; Lu, P ; Cheng, J ; Xiao, B ; Hu, LP ; Gao, X ; Liu, JZ ; Wang, YP ; Song, YZ ; Zhang, LQ ; Suo, FS ; Chen, TY ; Huang, Z ; Zhao, YZ ; Lu, H ; Pan, CQ ; Tang, H
	2010-05-11 ; 2010-05-11
关键词	SARS CORONAVIRUS GENOME SEQUENCE CANCER SERUM IDENTIFICATION PLASMA VIRUS Medical Laboratory Technology
中文摘要	Background: Definitive early-stage diagnosis of severe acute respiratory syndrome (SARS) is important despite the number of laboratory tests that have been developed to complement clinical features and epidemiologic data in case definition. Pathologic changes in response to viral infection might be reflected in proteomic patterns in sera of SARS patients. Methods: We developed a mass spectrometric decision tree classification algorithm using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry. Serum samples were grouped into acute SARS (n = 74; <7 days after onset of fever) and non-SARS [n = 1067; fever and influenza A (n = 203), pneumonia (n = 176); lung cancer (n = 29); and healthy controls (n = 659)] cohorts. Diluted samples were applied to WCX-2 ProteinChip arrays (Ciphergen), and the bound proteins were assessed on a ProteinChip Reader (Model PBS II). Bioinformatic calculations were performed with Biomarker Wizard software 3.1.1 (Ciphergen). Results: The discriminatory classifier with a panel of four biomarkers determined in the training set could precisely detect 36 of 37 (sensitivity, 97.3%) acute SARS and 987 of 993 (specificity, 99.4%) non-SARS samples. More importantly, this classifier accurately distinguished acute SARS from fever and influenza with 100% specificity (187 of 187). Conclusions: This method is suitable for preliminary assessment of SARS and could potentially serve as a useful tool for early diagnosis. (C) 2005 American Association for Clinical Chemistry.
语种	英语 ; 英语
出版者	AMER ASSOC CLINICAL CHEMISTRY ; WASHINGTON ; 2101 L STREET NW, SUITE 202, WASHINGTON, DC 20037-1526 USA
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/27573]
专题	清华大学
推荐引用方式 GB/T 7714	Kang, XX,Xu, Y,Wu, XY,et al. Proteomic fingerprints for potential application to early diagnosis of severe acute respiratory syndrome[J],2010, 2010.
APA	Kang, XX.,Xu, Y.,Wu, XY.,Liang, Y.,Wang, C.,...&Tang, H.(2010).Proteomic fingerprints for potential application to early diagnosis of severe acute respiratory syndrome..
MLA	Kang, XX,et al."Proteomic fingerprints for potential application to early diagnosis of severe acute respiratory syndrome".(2010).

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