Evidence map›Paper›PMID 32649673›Full record

ArticlePloS one2020

Hepatitis C virus genotype/subtype distribution and evolution among Chinese blood donors: Revealing recent viral expansion.

Yu Zhang, Zhan Gao, Shaoli Wang, Jing Liu, Ness Paul, Tao He, Cunxu Liu, Hongbin Zhang, Yunlai Lv, Ru'an Cao and 10 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

20 authors at 6 institutions in 2 countries.

Yu ZhangThe Fourth Affiliated Hospital Zhejiang University School of Medicine, Yiwu, China.ORCID 0000-0002-4512-5056
Zhan GaoInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Shaoli WangInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Jing LiuThe Johns Hopkins Medical Institutions, Baltimore, MD, United States of America.
Ness PaulThe Johns Hopkins Medical Institutions, Baltimore, MD, United States of America.
Tao HeChongqing Blood Center, Chongqing, China.
Cunxu LiuGuangxi Blood Center, Liuzhou, Guangxi, China.
Hongbin ZhangUrumqi Blood Center, Urumqi, Xinjiang, China.
Yunlai LvLuoyang Blood Center, Luoyang, Henan, China.
Ru'an CaoMianyang Blood Center, Mianyang, Sichuan, China.
Wei MaoChongqing Blood Center, Chongqing, China.
Jianhua WanUrumqi Blood Center, Urumqi, Xinjiang, China.
Hongli MaLuoyang Blood Center, Luoyang, Henan, China.
Mei HuangMianyang Blood Center, Mianyang, Sichuan, China.
Yu LiuInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Jingxing WangInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Pu LiaoThe People's Hospital of Chongqing, Chongqing, China.
Peibin ZengWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Miao HeInstitute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.ORCID 0000-0002-2815-1690
Hua ShanStanford University, Stanford, CA, United States of America.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNJohns Hopkins University · USSichuan Mianyang 404 Hospital · CNFirst People's Hospital of Chongqing · CNSichuan University · CNStanford University · US

Funding

NHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008I
6 · The paper itself

Abstract

Hepatitis C virus (HCV) genotype (GT) distribution in China shows significant geographical and demographic difference. As a routinely tested virus in Chinese blood bank systems, rare molecular epidemiology research in blood donors is reported. Our purpose is to investigate the HCV GT/subtypes distribution, phylogenetic analysis and population genetics in Chinese blood donors. Anti-HCV screen positive samples and donor demographics were collected. HCV Core and E1 gene fragments were amplified by RT-PCR, followed by sequencing and phylogenetic analysis to determine HCV GTs/subtypes using MEGA 7.0. The population genetics were performed using Arlequin v3.0 and Beast v1.10.4. SPSS Statistics 17.0 software was used to analyze the correlation between HCV GTs/subtypes distribution and demographic characteristics. 419 and 293 samples based on Core and E1 gene respectively were successfully amplified. HCV la, lb, 2a, 3a, 3b, 6a, 6e and 6n were found, and the corresponding proportions were 0.66% (3/455), 58.68% (267/455), 17.80% (81/455) and 5.05% (23/455), 3.52% (16/455), 12.31% (56/455), 0.88% (4/455) and 0.66% (3/455). Samples from Guangxi showed the most abundant genetic diversity with 8 subtypes were found. The number of haplotypes in HCV-1b is higher than 2a and 6a. The negative Tajima's D and Fu's Fs values of HCV-1b, 2a and 6a suggested the population expansion of those HCV subtypes. The distribution of HCV GT showed significant statistical difference by age and ethnicity. Conclusion: An abundance of HCV genetic diversity was found in Chinese blood donors with mainly 1b and then 2a subtype. There were significant geographical and demographic differences in HCV GTs/subtypes among Chinese blood donors. HCV subtype 1b has stronger viability and HCV subtype 6a has experienced significant expansion.

Indexed as

Evolution, MolecularGenotypeAdultBlood DonorsChinaFemaleGenome, ViralHepacivirusHumansMaleMiddle AgedPhylogenyYoung Adult

Identifiers

PMID32649673
PMCPMC7351211
OpenAlexW3041762206

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.