Serum Proteomic Fingerprints of Adult Patients with Severe Acute Respiratory Syndrome
| Autor: | Yu Kwan Tong, Rossa W.K. Chiu, K.C. Allen Chan, Stephen S.C. Chim, Ronald T.K. Pang, Terence C.W. Poon, Nelson Lee, Joseph J.Y. Sung, Y.M. Dennis Lo, Ronald Man Yeung Wong, Sai M. Ngai |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Adult
Male Serum Proteome Clinical Biochemistry Protein Array Analysis Biology Severe Acute Respiratory Syndrome medicine.disease_cause Immunoglobulin light chain Fibrinogen medicine Cluster Analysis Humans skin and connective tissue diseases Aged Coronavirus Aged 80 and over fungi Biochemistry (medical) Respiratory disease Middle Aged medicine.disease Blood proteins body regions ROC Curve Severe acute respiratory syndrome-related coronavirus Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Immunology biology.protein Proteomics and Protein Markers Female Viral disease Antibody Viral load Biomarkers medicine.drug |
| Zdroj: | Clinical Chemistry |
| ISSN: | 1530-8561 0009-9147 |
| DOI: | 10.1373/clinchem.2005.061689 |
| Popis: | Background: Severe acute respiratory syndrome (SARS) is an emerging infectious disease caused by a new coronavirus strain, SARS-CoV. Specific proteomic patterns might be present in serum in response to the infection and could be useful for early detection of the disease.Methods: Using surface-enhanced laser desorption/ionization (SELDI) ProteinChip technology, we profiled and compared serum proteins of 39 patients with early-stage SARS infection and 39 non-SARS patients who were suspected cases during the SARS outbreak period. Proteomic patterns associated with SARS were identified by bioinformatic and biostatistical analyses. Features of interest were then purified and identified by tandem mass spectrometry.Results: Twenty proteomic features were significantly different between the 2 groups. Fifteen were increased in the SARS group, and 5 were decreased. Their concentrations were correlated with 2 or more clinical and/or biochemical variables. Two were correlated with the SARS-CoV viral load. Hierarchical clustering analysis showed that a majority of the SARS patients (95%) had similar serum proteomic profiles and identified 2 subgroups with poor prognosis. ROC curve analysis identified individual features as potential biomarkers for SARS diagnosis (areas under ROC curves, 0.733–0.995). ROC curve areas were largest for an N-terminal fragment of complement C3c α chain (m/z 28 119) and an internal fragment of fibrinogen α-E chain (m/z 5908). Immunoglobulin κ light chain (m/z 24 505) positively correlated with viral load.Conclusions: Specific proteomic fingerprints in the sera of adult SARS patients could be used to identify SARS cases early during onset with high specificity and sensitivity. |
| Databáze: | OpenAIRE |
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