Evidence map›Paper›PMID 38018998›Full record

ArticleMicrobiology spectrum2024

Establishment of cell culture model and humanized mouse model of chronic hepatitis B virus infection.

Renyun Tian, Di Yang, Biaoming Xu, Rilin Deng, Binbin Xue, Luoling Wang, Huiyi Li, Qian Liu, Xiaohong Wang, Songqing Tang and 3 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Progress of Infection and Replication Systems of Hepatitis B Virus.ACS pharmacology & translational science · 2024
    Review
  3. Review
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

13 authors.

Renyun TianInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.ORCID 0009-0000-7507-5339
Di YangInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.
Biaoming XuInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.
Rilin DengInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.
Binbin XueInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.
Luoling WangInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.
Huiyi LiInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.
Qian LiuInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.
Xiaohong WangInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.
Songqing TangInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.
Mengyu WanInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.
Hua PeiDepartment of Pathogen Biology and Immunology, Department of Clinical Laboratory of the Second Affiliated Hospital, Key Laboratory of Tropical Translational Medicine of Ministry of Education,Institute of Pathogen Biology and Immunology,School of Basic Medicine and Life Science, The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, The Second Affiliated Hospital of Hainan Medical University, Hainan Medical University , Hainan, China.
Haizhen ZhuInstitute of Pathogen Biology and Immunology, College of Biology, State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University , Changsha, China.ORCID 0000-0001-5926-6186

Funding

MOST | National Major Science and Technology Projects of China (National Major Science and Technology Project of China) 2017ZX10202201-005MOST | National Natural Science Foundation of China (NSFC) 81730064MOST | National Natural Science Foundation of China (NSFC) 81971498MOST | National Natural Science Foundation of China (NSFC) 82072269
6 · The paper itself

Abstract

importanceApproximately 257 million people worldwide have been infected with hepatitis B virus (HBV), and HBV infection can cause chronic hepatitis, cirrhosis, and even liver cancer. The lack of suitable and effective infection models has greatly limited research in HBV-related fields for a long time, and it is still not possible to discover a method to completely and effectively remove the HBV genome. We have constructed a hepatocellular carcinoma cell line, HLCZ01, that can support the complete life cycle of HBV. This model can mimic the long-term stable infection of HBV in the natural state and can replace primary human hepatocytes for the development of human liver chimeric mice. This model will be a powerful tool for research in the field of HBV.

Indexed as

Hepatitis BHepatitis B, ChronicAnimalsCell Culture TechniquesDisease Models, AnimalHepatitis B virusHumansMiceVirus Replicationanimal modelcell culture modelHBV persistencekinetics of antigenvirion secretion

Identifiers

PMID38018998
PMCPMC10783038

What Socratic 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 Socratic graph.