Evidence map›Paper›PMID 25821965›Full record

ArticlePloS one2015

Pre-existing mutations in reverse transcriptase of hepatitis B virus in treatment-naive Chinese patients with chronic hepatitis B.

Jie Xu, Biao Wu, Jing-Hui Wang, Ling Huang, Deng-Yu Wang, Ling Zhao, Guo-Ping Zhao, Ying Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  13. Prevalence of mutations in HBV DNA polymerase gene associated with nucleos(t)ide resistance in treatment-naive patients with Chronic Hepatitis B in Central China.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Article
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

8 authors at 4 institutions in 1 country.

Jie XuDepartment of Infectious Diseases, No.3 People's Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Biao WuShanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai/Shanghai Academy of Science and Technology, Shanghai, China.
Jing-Hui WangShanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ling HuangDepartment of Infectious Diseases, No.3 People's Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Deng-Yu WangShanghai Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai/Shanghai Academy of Science and Technology, Shanghai, China.
Ling ZhaoDepartment of Infectious Diseases, No.3 People's Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guo-Ping ZhaoShanghai Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai/Shanghai Academy of Science and Technology, Shanghai, China.
Ying WangShanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai/Shanghai Academy of Science and Technology, Shanghai, China.
Shanghai Jiao Tong University · CNChinese National Human Genome Center · CNChinese National Human Genome Center at Shanghai · CNShanghai Academy of Science & Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High rate of viral replication and lacking of proofreading activity in hepatitis B virus (HBV) polymerase lead to the generation of mutations in HBV virus. Mutations in the reverse transcriptase (RT) region of HBV polymerase are demonstrated to be strongly associated with drug resistance during antiviral treatment. However, the presence of mutations as well as its clinical significance in treatment-naïve hepatitis patients (defined as pre-existing mutations) need to be further investigated. In the present study, a total of 168 serum samples from treatment-naive chronic hepatitis B (CHB) patients were collected, and the RT region of HBV polymerase was sequenced. The results showed that pre-existing mutations in the RT region of HBV polymerase were detected in 43 of 168 (25.6%) treatment-naive CHB patients within which there were no well-characterized primary nucleotide analogs (NAs) resistance sites. Three dominant sites at rt191, rt207 and rt226 were found mutant in 7(16.28%), 8(18.60%), and 14(32.56%) samples respectively among these 43 patients. No significant correlation was found between pre-existing mutations and gender, age, HBV genotype, ALT, HBeAg or HBV DNA loads. However, patients with pre-existing RT mutations under HBeAg sero-negative status exhibited decreased HBV DNA loads, which contributed to the decreased HBV DNA loads in the total HBeAg sero-negative patients. The above investigation indicated that there was a prevalence of pre-existing mutations in RT region of HBV polymerase which might affect the serum HBV DNA level in treatment-naive CHB patients. Its effects on the occurrence of NAs resistance and the prognosis after treatment need to be further investigated.

Indexed as

MutationAdultAgedAged, 80 and overAmino Acid SubstitutionChinaFemaleGenotypeHepatitis B, ChronicHepatitis B e AntigensHepatitis B virusHumansMaleMiddle AgedRetrospective StudiesRNA-Directed DNA PolymeraseHepatitis B e AntigensRNA-Directed DNA Polymerase

Identifiers

PMID25821965
PMCPMC4379075
OpenAlexW1978602103

What OpenQuestion holds

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LicenceCC BY
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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.