Evidence map›Paper›PMID 24719413›Full record

ArticleJournal of virology2014

Migration patterns of hepatitis C virus in China characterized for five major subtypes based on samples from 411 volunteer blood donors from 17 provinces and municipalities.

Ling Lu, Min Wang, Wenjie Xia, Linwei Tian, Ru Xu, Chunhua Li, Jingxing Wang, Xia Rong, Huaping Xiong, Ke Huang and 6 more

Abstract read
In one paragraph

Article in Journal of virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  14. Evolving Diversity of Hepatitis C Viruses in Yunnan Honghe, China.International journal of molecular sciences · 2016
    Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Ling LuLaboratory for Hepatology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China Center for Viral Oncology, University of Kansas Medical Center, Kansas City, Kansas, USA fuyongshui@sina.com llu@kumc.edu.
Min WangGuangzhou Blood Center, Guangzhou, Guangdong, China.
Wenjie XiaGuangzhou Blood Center, Guangzhou, Guangdong, China.
Linwei TianSchool of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China.
Ru XuGuangzhou Blood Center, Guangzhou, Guangdong, China.
Chunhua LiCenter for Viral Oncology, University of Kansas Medical Center, Kansas City, Kansas, USA.
Jingxing WangInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Xia RongGuangzhou Blood Center, Guangzhou, Guangdong, China.
Huaping XiongGuangzhou Blood Center, Guangzhou, Guangdong, China.
Ke HuangGuangzhou Blood Center, Guangzhou, Guangdong, China.
Jieting HuangGuangzhou Blood Center, Guangzhou, Guangdong, China.
Tatsunori NakanoDepartment of Internal Medicine, Fujita Health University Nanakuri Sanatorium, Mie, Japan.
Phil BennettMicropathology Ltd., University of Warwick Science Park, Coventry, United Kingdom.
Yong ZhangNational Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Linqi ZhangComprehensive AIDS Research Center, School of Medicine, Tsinghua University, Beijing, China.
Yongshui FuGuangzhou Blood Center, Guangzhou, Guangdong, China fuyongshui@sina.com llu@kumc.edu.

Funding

HCV Genotype 6: A Model for HCV Genetics and Molecular Epidemiology StudiesR01AI080734 · NIAID · UNIVERSITY OF UTAH · PI LU, LING · 2009 to 2011
$1.1M
NIAID NIH HHS 5 R01 AI080734-03ANIAID NIH HHS R01 AI080734
6 · The paper itself

Abstract

unlabelledWe investigated the migration patterns of hepatitis C virus (HCV) in China. Partial E1 and/or NS5B sequences from 411 volunteer blood donors sampled in 17 provinces and municipalities located in five large regions, the north-northeast, northwest, southwest, central south, and southeast, were characterized. The sequences were classified into eight subtypes (1a, n = 3; 1b, n = 183; 2a, n = 83; 3a, n = 30; 3b, n = 44; 6a, n = 55; 6n, n = 10; 6v, n = 1) and a new subtype candidate. Bayesian evolutionary analysis by sampling trees of the E1 sequences of the five major subtypes revealed distinct migration patterns. Subtype 1b showed four groups: one is prevalent nationwide with possible origins in the north-northeast; two are locally epidemic in the central south and northwest, respectively, and have spread sporadically to other regions; and the fourth one is likely linked to the long-distance dispersion among intravenous drug users from the northwest. Subtype 2a showed two groups: the larger one was mainly restricted to the northwest and seemed to show a trend toward migration via the Silk Road; the smaller one was geographically mixed and may represent descendants of those that spread widely during the contaminated plasma campaign in the 1990s. Subtype 3a exhibited three well-separated geographic groups that may be epidemically unrelated: one showed origins in the northwest, one showed origins in the southwest, and the other showed origins in the central south. In contrast, subtype 3b had a mixture of geographic origins, suggesting migrations from the southwest to the northwest and sporadically to other regions. Structurally resembling the tree for subtype 3a, the tree for subtype 6a showed four groups that may indicate migrations from the central south to southeast, southwest, and northwest. Strikingly, no subtype 6a strain was identified in the north-northeast. IMPORTANCE: With a population of greater than 1.3 billion and a territory of >9.6 million square kilometers, China has a total of 34 provinces and municipalities. In such a vast country, the epidemic history and migration trends of HCV are thought to be unique and complex but variable among regions and are unlikely to be represented by those observed in only one or at best a few provinces and municipalities. However, due to the difficulties in recruiting patients, all previous studies for this purpose have been based only on data from limited regions, and therefore, geographical biases were unavoidable. In this study, such biases were greatly reduced because we utilized samples collected from volunteer blood donors in 17 provinces and municipalities. To our knowledge, this is the first study in which the HCV isolates represented such a large portion of the country, and thus, the results should shed light on the current understanding of HCV molecular epidemiology.

Indexed as

Blood DonorsChinaGene FlowGenotypeHepacivirusHepatitis CHumansMolecular EpidemiologyPhylogenyPhylogeographyPrevalenceRNA, ViralSequence Analysis, DNAViral Envelope ProteinsViral Nonstructural ProteinsVolunteersRNA, ViralViral Envelope ProteinsViral Nonstructural Proteins

Identifiers

PMID24719413
PMCPMC4054444

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.