Literature DB >> 25169964

Influence of HLA-DRB alleles on haemorrhagic fever with renal syndrome in a Chinese Han population in Hubei Province, China.

N Zhu1,2, F Luo1, Q Chen1, N Li1, H Xiong1, Y Feng1, Z Yang3, W Hou4.   

Abstract

Specific human leucocyte antigen (HLA) alleles are considered a genetic risk factor for the progression of haemorrhagic fever with renal syndrome (HFRS) caused by hantaviruses. The aim of this study was to establish whether HLA-DRB alleles are associated with the severity of HFRS caused by different types of hantaviruses in a Chinese Han population from Hubei Province of central China. Twenty-two specific HLA-DRB alleles were analysed by sequence-specific primer-polymerase chain reaction (SSP-PCR) in 100 HFRS patients and 213 healthy volunteers. Associations of HLA-DRB alleles with the severity and clinical parameters of HFRS caused by Hantaan virus (HTNV) or Seoul virus (SEOV) infection were evaluated. Six alleles (HLA-DRB1*0401-0411, HLA-DRB1*1001, HLA-DRB1*1101-1105, HLA-DRB1*1201-1202, HLA-DRB1*1305 and DRB5*0101-0201) demonstrated strong associations with HFRS caused by HTNV and SEOV infections. Further comparison of these HLA-DRB1 allele frequencies between HFRS patients with differing severities and healthy controls demonstrated that the HLA-DRB1*0401-0411, HLA-DRB1*1001 and DRB1*1305 alleles were more frequent in the moderate course of HTNV-infected HFRS. Meanwhile, the DRB1*1101-1105 allele was more frequently observed in the severe course of HTNV-infected HFRS. We also found that the HLA-DRB1*1201-1202 allele frequency was higher in the moderate course of SEOV-infected HFRS, whereas the DRB5*0101-0201 allele may play a protective role in moderate HFRS caused by both HTNV and SEOV infections. These results provide evidence of the influence of HLA-DRB on the severity of HFRS and confirm the effect of HLA-DRB on HFRS during different types of hantavirus infection in a Chinese Han population in Hubei Province, China.

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Year:  2014        PMID: 25169964     DOI: 10.1007/s10096-014-2213-9

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  21 in total

1.  HLA-DR typing by PCR amplification with sequence-specific primers (PCR-SSP) in 2 hours: an alternative to serological DR typing in clinical practice including donor-recipient matching in cadaveric transplantation.

Authors:  O Olerup; H Zetterquist
Journal:  Tissue Antigens       Date:  1992-05

Review 2.  Uncovering the mysteries of hantavirus infections.

Authors:  Antti Vaheri; Tomas Strandin; Jussi Hepojoki; Tarja Sironen; Heikki Henttonen; Satu Mäkelä; Jukka Mustonen
Journal:  Nat Rev Microbiol       Date:  2013-08       Impact factor: 60.633

3.  Genetic susceptibility to severe course of nephropathia epidemica caused by Puumala hantavirus.

Authors:  J Mustonen; J Partanen; M Kanerva; K Pietilä; O Vapalahti; A Pasternack; A Vaheri
Journal:  Kidney Int       Date:  1996-01       Impact factor: 10.612

4.  HLA-A, -B, and -DRB1 polymorphism defined by sequence-based typing of the Han population in Northern China.

Authors:  G Yang; Y-J Deng; S-N Hu; D-Y Wu; S-B Li; J Zhu; B-F Zhu; Y Liu
Journal:  Tissue Antigens       Date:  2006-02

5.  Hantaan virus M RNA: coding strategy, nucleotide sequence, and gene order.

Authors:  C S Schmaljohn; A L Schmaljohn; J M Dalrymple
Journal:  Virology       Date:  1987-03       Impact factor: 3.616

6.  Genetic susceptibility to haemorrhagic fever with renal syndrome caused by Hantaan virus in Chinese Han population.

Authors:  M L Wang; J H Lai; Y Zhu; H B Zhang; C Li; J P Wang; Y M Li; A G Yang; B Q Jin
Journal:  Int J Immunogenet       Date:  2009-05-19       Impact factor: 1.466

7.  Human leukocyte antigen-B8-DR3 is a more important risk factor for severe Puumala hantavirus infection than the tumor necrosis factor-alpha(-308) G/A polymorphism.

Authors:  Satu Mäkelä; Jukka Mustonen; Ilpo Ala-Houhala; Mikko Hurme; Jukka Partanen; Olli Vapalahti; Antti Vaheri; Amos Pasternack
Journal:  J Infect Dis       Date:  2002-08-16       Impact factor: 5.226

8.  Genome-wide association study for serum complement C3 and C4 levels in healthy Chinese subjects.

Authors:  Xiaobo Yang; Jielin Sun; Yong Gao; Aihua Tan; Haiying Zhang; Yanling Hu; Junjie Feng; Xue Qin; Sha Tao; Zhuo Chen; Seong-Tae Kim; Tao Peng; Ming Liao; Xiaoling Lin; Zengfeng Zhang; Minzhong Tang; Li Li; Linjian Mo; Zhengjia Liang; Deyi Shi; Zhang Huang; Xianghua Huang; Ming Liu; Qian Liu; Shijun Zhang; Jeffrey M Trent; S Lilly Zheng; Jianfeng Xu; Zengnan Mo
Journal:  PLoS Genet       Date:  2012-09-13       Impact factor: 5.917

9.  The genetic polymorphisms of HLA are strongly correlated with the disease severity after Hantaan virus infection in the Chinese Han population.

Authors:  Ying Ma; Bin Yuan; Jing Yi; Ran Zhuang; Jiuping Wang; Yun Zhang; Zhuwei Xu; Yusi Zhang; Bei Liu; Chao Wei; Chunmei Zhang; Angang Yang; Boquan Jin
Journal:  Clin Dev Immunol       Date:  2012-10-08

10.  The epidemic characteristics and changing trend of hemorrhagic fever with renal syndrome in Hubei Province, China.

Authors:  Yi-Hui Zhang; Liang Ge; Li Liu; Xi-Xiang Huo; Hai-Rong Xiong; Yuan-Yuan Liu; Dong-Ying Liu; Fan Luo; Jin-Lin Li; Jia-Xin Ling; Wen Chen; Jing Liu; Wei Hou; Yun Zhang; Hong Fan; Zhan-Qiu Yang
Journal:  PLoS One       Date:  2014-03-21       Impact factor: 3.240

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  2 in total

1.  HLA-DRB1 the notorious gene in the mosaic of autoimmunity.

Authors:  María-Teresa Arango; Carlo Perricone; Shaye Kivity; Enrica Cipriano; Fulvia Ceccarelli; Guido Valesini; Yehuda Shoenfeld
Journal:  Immunol Res       Date:  2017-02       Impact factor: 2.829

2.  Construction of a Seasonal Difference-Geographically and Temporally Weighted Regression (SD-GTWR) Model and Comparative Analysis with GWR-Based Models for Hemorrhagic Fever with Renal Syndrome (HFRS) in Hubei Province (China).

Authors:  Liang Ge; Youlin Zhao; Zhongjie Sheng; Ning Wang; Kui Zhou; Xiangming Mu; Liqiang Guo; Teng Wang; Zhanqiu Yang; Xixiang Huo
Journal:  Int J Environ Res Public Health       Date:  2016-10-29       Impact factor: 3.390

  2 in total

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