Molecular signature of clinical severity in recovering patients with severe acute respiratory syndrome coronavirus (SARS-CoV)
| Autor: | Jien Wei Liu, Tzu Hao Wang, Hsing Shih Wang, Yi Hsi Wang, Ping Cherng Chiang, Meng-Chih Lin, Min Li Wei, En Shih Chen, Angel Chao, Ying-Shiung Lee, Ting Shu Wu, Yin Jing Tien, Hock Liew Eng, Kuender D. Yang, Chung Guei Huang, Yun-Shien Lee, Chun-Houh Chen, Kuo Chein Tsao, Lung Kun Chen |
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| Jazyk: | angličtina |
| Rok vydání: | 2005 |
| Předmět: |
Gene Expression Regulation
Viral Lung Diseases DNA Complementary Genes Viral lcsh:QH426-470 lcsh:Biotechnology Gene Expression Enzyme-Linked Immunosorbent Assay Disease Biology Severe Acute Respiratory Syndrome Bioinformatics medicine.disease_cause Immunity lcsh:TP248.13-248.65 Genetics medicine Cluster Analysis Humans Respiratory system skin and connective tissue diseases Oligonucleotide Array Sequence Analysis Coronavirus Regulation of gene expression Genome Models Statistical Innate immune system Models Genetic Respiratory distress Reverse Transcriptase Polymerase Chain Reaction Mortality rate fungi Computational Biology Immunity Innate Up-Regulation body regions lcsh:Genetics Severe acute respiratory syndrome-related coronavirus Immunology Algorithms Research Article Biotechnology |
| Zdroj: | BMC Genomics, Vol 6, Iss 1, p 132 (2005) BMC Genomics |
| ISSN: | 1471-2164 |
| Popis: | Background Severe acute respiratory syndrome (SARS), a recent epidemic human disease, is caused by a novel coronavirus (SARS-CoV). First reported in Asia, SARS quickly spread worldwide through international travelling. As of July 2003, the World Health Organization reported a total of 8,437 people afflicted with SARS with a 9.6% mortality rate. Although immunopathological damages may account for the severity of respiratory distress, little is known about how the genome-wide gene expression of the host changes under the attack of SARS-CoV. Results Based on changes in gene expression of peripheral blood, we identified 52 signature genes that accurately discriminated acute SARS patients from non-SARS controls. While a general suppression of gene expression predominated in SARS-infected blood, several genes including those involved in innate immunity, such as defensins and eosinophil-derived neurotoxin, were upregulated. Instead of employing clustering methods, we ranked the severity of recovering SARS patients by generalized associate plots (GAP) according to the expression profiles of 52 signature genes. Through this method, we discovered a smooth transition pattern of severity from normal controls to acute SARS patients. The rank of SARS severity was significantly correlated with the recovery period (in days) and with the clinical pulmonary infection score. Conclusion The use of the GAP approach has proved useful in analyzing the complexity and continuity of biological systems. The severity rank derived from the global expression profile of significantly regulated genes in patients may be useful for further elucidating the pathophysiology of their disease. |
| Databáze: | OpenAIRE |
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