The Journal of infectious diseases · 2018
Clinical Correlations of Transcriptional Profile in Patients Infected With Avian Influenza H7N9 Virus.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Guan Wenda, Yang Zifeng, Wu Nicholas C, Lee Horace H Y, Li Yimin, Jiang Wenxin, Shen Lihan, Wu Douglas C, Chen Rongchang, Zhong Nanshan, Wilson Ian A, Peiris Malik, Mok Chris K P
Аннотация
BACKGROUND: Avian influenza A (H7N9) viruses emerged in China in 2013 and caused zoonotic disease associated with a case-fatality ratio of over 30%. Transcriptional profiles in peripheral blood reflect host responses and can help to elucidate disease pathogenesis.
METHODS: We correlated serial blood transcriptomic profiles of patients with avian influenza A (H7N9) virus infection and determined the biological significances from the analysis.
RESULTS: We found that specific gene expression profiles in the blood were strongly correlated with the Pao 2/Fio 2 ratio and viral load in the lower respiratory tract. Cell cycle and leukocyte-related immunity were activated at the acute stage of the infection while T-cell functions and various metabolic processes were associated with the recovery phase of the illness. A transition from systemic innate to adaptive immunity was found.
CONCLUSIONS: We developed a novel approach for transcriptomic analysis to identify key host responses that were strongly correlated with specific clinical and virologic parameters in patients with H7N9 infection.
METHODS: We correlated serial blood transcriptomic profiles of patients with avian influenza A (H7N9) virus infection and determined the biological significances from the analysis.
RESULTS: We found that specific gene expression profiles in the blood were strongly correlated with the Pao 2/Fio 2 ratio and viral load in the lower respiratory tract. Cell cycle and leukocyte-related immunity were activated at the acute stage of the infection while T-cell functions and various metabolic processes were associated with the recovery phase of the illness. A transition from systemic innate to adaptive immunity was found.
CONCLUSIONS: We developed a novel approach for transcriptomic analysis to identify key host responses that were strongly correlated with specific clinical and virologic parameters in patients with H7N9 infection.