Evidence map›Paper›PMID 32076943›Full record

ReviewClinical reviews in allergy & immunology2020

Animal Models of Autoimmune Liver Diseases: a Comprehensive Review.

Shou-Pei Liu, Zhen-Hua Bian, Zhi-Bin Zhao, Jinjun Wang, Weici Zhang, Patrick S C Leung, Liang Li, Zhe-Xiong Lian

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical reviews in allergy & immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Targeting pathogenic CD8Nature communications · 2024
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Single-Cell Characterization of Hepatic CD8Frontiers in immunology · 2022
    Article
  12. Article
  13. Article
  14. Stem cell therapies for autoimmune hepatitis.Stem cell research & therapy · 2021
    Review
  15. Article
  16. 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

8 authors.

Shou-Pei LiuDepartment of General Surgery, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, Guangdong, China.
Zhen-Hua BianDepartment of General Surgery, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, Guangdong, China.
Zhi-Bin ZhaoDepartment of General Surgery, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, Guangdong, China.
Jinjun WangCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou, 225127, Jiangsu, China.
Weici ZhangDivision of Rheumatology/Allergy and Clinical Immunology, University of California, Davis, CA, 95616, USA.
Patrick S C LeungDivision of Rheumatology/Allergy and Clinical Immunology, University of California, Davis, CA, 95616, USA.
Liang LiDepartment of General Surgery, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, Guangdong, China. lil2009@scut.edu.cn.
Zhe-Xiong LianDepartment of General Surgery, Guangzhou Digestive Disease Center, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, Guangdong, China. zxlian@scut.edu.cn.ORCID http://orcid.org/0000-0002-9525-1421

Funding

China Postdoctoral Science Foundation 2018M643095Guangdong Province Introduction of Innovative R&D Team 2017ZT07S054National Natural Science Foundation of China 81801607National Natural Science Foundation of China 81873877National Natural Science Foundation of China 81901652State Key Laboratory of Pathogenesis, Prevention, Treatment of Central Asian High Incidence Diseases Fund, China SKL-HIDCA-2018-4
6 · The paper itself

Abstract

Autoimmune liver diseases (AILDs) are potentially life-threatening chronic liver diseases which include autoimmune hepatitis, primary biliary cholangitis, primary sclerosing cholangitis, and recently characterized IgG4-related sclerosing cholangitis. They are caused by immune attack on hepatocytes or bile ducts, with different mechanisms and clinical manifestations. The etiologies of AILDs include a susceptible genetic background, environment insults, infections, and changes of commensal microbiota, but remain complicated. Understanding of the underlying mechanisms of AILDs is mandatory for early diagnosis and intervention, which is of great importance for better prognosis. Thus, animal models are developed to mimic the pathogenesis, find biomarkers for early diagnosis, and for therapeutic attempts of AILDs. However, no animal models can fully recapitulate features of certain AILD, especially the late stages of diseases. Certain limitations include different living condition, cell composition, and time frame of disease development and resolution. Moreover, there is no IgG4 in rodents which exists in human. Nevertheless, the understanding and therapy of AILDs have been greatly advanced by the development and mechanistic investigation of animal models. This review will provide a comprehensive overview of traditional and new animal models that recapitulate different features and etiologies of distinct AILDs.

Indexed as

Disease Models, AnimalAnimalsAutoantigensAutoimmune DiseasesAutoimmunityBiomarkersDiagnosis, DifferentialDisease SusceptibilityHumansImmunoglobulin GLiver DiseasesMice, TransgenicPrognosisAutoantigensBiomarkersImmunoglobulin GAnimal modelsAutoimmune hepatitisAutoimmune liver diseaseIgG4-related sclerosing cholangitisPrimary biliary cholangitisPrimary sclerosing cholangitis

Identifiers

What OpenQuestion holds

Textmetadata
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.