Evidence map›Paper›PMID 30072974›Full record

ReviewFrontiers in microbiology2018

When Hepatitis B Virus Meets Interferons.

Guangyun Tan, Hongxiao Song, Fengchao Xu, Genhong Cheng

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

59 citing papers in PubMed, 91 citations in OpenAlex.

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  11. Conserved Functions ofInternational journal of molecular sciences · 2024
    Article
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  14. Baicalin inhibits the replication of the hepatitis B virus by targeting TRIM25.Journal of traditional and complementary medicine · 2023
    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

4 authors at 2 institutions in 2 countries.

Guangyun TanDepartment of Immunology, Institute of Translational Medicine, The First Hospital of Jilin University, Changchun, China.
Hongxiao SongDepartment of Immunology, Institute of Translational Medicine, The First Hospital of Jilin University, Changchun, China.
Fengchao XuDepartment of Immunology, Institute of Translational Medicine, The First Hospital of Jilin University, Changchun, China.
Genhong ChengDepartment of Immunology, Institute of Translational Medicine, The First Hospital of Jilin University, Changchun, China.
First Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic hepatitis B virus (HBV) infection imposes a severe burden on global public health. Currently, there are no curative therapies for millions of chronic HBV-infected patients (Lok et al., 2017). Interferon (IFN; including pegylated IFN) is an approved anti-HBV drug that not only exerts direct antiviral activity, but also augments immunity against HBV infection. Through a systematic review of the literature, here we summarize and present recent progress in research regarding the interactions between IFN and HBV as well as dissect the antiviral mechanisms of IFN. We focus on inhibition of HBV replication by IFN-stimulated genes (ISGs) as well as inhibition of IFN signaling by HBV and viral proteins. Finally, we briefly discuss current IFN-based HBV treatment strategies. This review may help to better understand the mechanisms involved in the therapeutic action of IFN as well as the crosstalk between IFN and HBV, and facilitate the development of both direct-acting and immunology-based new HBV drugs.

Indexed as

cccDNAHBVHBV druginterferonISGsTRIMs

Identifiers

PMID30072974
PMCPMC6058040
OpenAlexW2884709702

What OpenQuestion holds

Textmetadata
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.