About: Proteomic Fingerprints for Potential Application to Early Diagnosis of Severe Acute Respiratory Syndrome

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Proteomic Fingerprints for Potential Application to Early Diagnosis of Severe Acute Respiratory Syndrome
Creator	Xu, Yang Cheng, Jing Lu, Hong Zhang, Liqun Wang, Chen »more»
source	Medline; PMC
abstract	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.
has issue date	2005-01-01(xsd:dateTime)
bibo:doi	10.1373/clinchem.2004.032458
bibo:pmid	15550479
has license	no-cc
sha1sum (hex)	936d6133d9a02ae489d4379698839dc86acfb4d0
schema:url	https://doi.org/10.1373/clinchem.2004.032458
resource representing a document's title	Proteomic Fingerprints for Potential Application to Early Diagnosis of Severe Acute Respiratory Syndrome
has PubMed Central identifier	PMC7108460
has PubMed identifier	15550479
schema:publication	Clin Chem
resource representing a document's body	covid:936d6133d9a02ae489d4379698839dc86acfb4d0#body_text
is schema:about of	named entity 'performed' named entity 'Results' named entity 'grouped' named entity 'Application' named entity 'DECISION TREE' »more»

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