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IFITM3, TLR3, and CD55 Gene SNPs and Cumulative Genetic Risks for Severe Outcomes in Chinese Patients With H7N9/H1N1(pdm09) Influenza

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单位: [1]Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, China [2]Centre for Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, and National Clinical Research Centre for Respiratory Disease, Capital Medical University, Beijing, China [3]Institute of Pathogenic Microbiology, Guangdong Provincial Centre for Disease Control and Prevention, Guangzhou, China [4]Department of Infectious Diseases, Huashan Hospital Affiliated to Fudan University, Shanghai, China [5]Key Laboratory of Medical Molecular Virology of the Ministries of Education, Shanghai Medical College, Fudan University, China [6]Department of Infectious Diseases and Clinical Microbiology, Beijing Chaoyang Hospital, Capital Medical University, China [7]Southern Medical University, Guangzhou,The Chinese University of Hong Kong, People’s Republic of China [8]Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, People’s Republic of China [9]Centre for Tropical Medicine and Global Health, University of Oxford, United Kingdom
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关键词: IFITM3 influenza outcomes SNP TLR3

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We examined associations between single-nucleotide polymorphisms (SNPs) ofIFITM3,TLR3, andCD55 genes and influenza clinical outcomes in Chinese. A multicenter study was conducted on 275 adult cases of avian (H7N9) and pandemic (H1N1(pdm09)) influenza. Host DNA was extracted from diagnostic respiratory samples;IFITM3 rs12252,TLR3 rs5743313,CD55 rs2564978, andTLR4 rs4986790/4986791 were targeted for genotyping (Sanger sequencing). The primary outcome analyzed was death. IFITM3 andTLR3 SNPs were in Hardy-Weinberg equilibrium; their allele frequencies (IFITM3/C-allele 0.56, TLR3/C-allele 0.88) were comparable to 1000 Genomes Han Chinese data. We found over-representation of homozygousIFITM3 CC (54.5% vs 33.2%;P = .02) andTLR3 CC (93.3% vs 76.9%;P = .04) genotypes among fatal cases. Recessive genetic models showed their significant independent associations with higher death risks (adjusted hazard ratio [aHR] 2.78, 95% confidence interval [CI] 1.29-6.02, and aHR 4.85, 95% CI 1.11-21.06, respectively). Cumulative effects were found (aHR 3.53, 95% CI 1.64-7.59 per risk genotype; aHR 9.99, 95% CI 1.27-78.59 with both). Results were consistent for each influenza subtype and other severity indicators. TheCD55 TT genotype was linked to severity. TLR4 was nonpolymorphic. Host genetic factors may influence clinical outcomes of avian and pandemic influenza infections. Such findings have important implications on disease burden and patient care in at-risk populations.

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出版当年[2016]版:
大类 | 1 区 医学
小类 | 2 区 免疫学 2 区 传染病学 2 区 微生物学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 免疫学 2 区 传染病学 2 区 微生物学
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出版当年[2015]版:
Q1 IMMUNOLOGY Q1 INFECTIOUS DISEASES Q1 MICROBIOLOGY
最新[2023]版:
Q1 INFECTIOUS DISEASES Q1 MICROBIOLOGY Q2 IMMUNOLOGY

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2015版] 出版当年五年平均[2011-2015] 出版前一年[2014版] 出版后一年[2016版]

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第一作者单位: [1]Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, China
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通讯机构: [8]Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, People’s Republic of China [*1]Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, 1/F Lui Chee Woo Clinical Sciences Building, Prince of Wales Hospital, Shatin, Hong Kong SAR, PRC
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