Evidence map›Paper›PMID 29266008›Full record

ReviewCurrent opinion in gastroenterology2018

Mouse models of gallstone disease.

Tony Y Wang, Piero Portincasa, Min Liu, Patrick Tso, David Q-H Wang

Abstract readReview
In one paragraph

Review in Current opinion in gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genetics of Gallstone Disease and Their Clinical Significance: A Narrative Review.Journal of clinical and translational hepatology · 2024
    Review
  5. Article
  6. Genetic Analysis ofGenes · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Rodent models of cholestatic liver disease: A practical guide for translational research.Liver international : official journal of the International Association for the Study of the Liver · 2021
    Review
  12. Article
  13. Frontiers in pharmacology · 2021
    Article
  14. Article
  15. Article
  16. Review
  17. Gallstone Disease and Microbiome.Microorganisms · 2020
    Review
  18. Article
  19. Article
  20. Physical Activity Modulating Lipid Metabolism in Gallbladder Diseases.Journal of gastrointestinal and liver diseases : JGLD · 2020
    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

5 authors.

Tony Y WangDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Piero PortincasaDepartment of Biomedical Sciences and Human Oncology, Clinica Medica 'A. Murri', University of Bari 'Aldo Moro' Medical School, Bari, Italy.
Min LiuDepartment of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio.
Patrick TsoDepartment of Pathology and Laboratory Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio.
David Q-H WangDepartment of Medicine, Division of Gastroenterology and Liver Diseases, Marion Bessin Liver Research Center, Albert Einstein College of Medicine, Bronx, New York, USA.

Funding

Special Animal CoreP30DK041296 · NIDDK · YESHIVA UNIVERSITY · PI GUPTA, SANJEEV · 1989 to 2018
$22.9M
Lipid profile, lipoprotein and apolipoprotein composition, and intestinal fat absorption efficiency in germ-free and conventional miceU2CDK059630 · NIDDK · UNIVERSITY OF CINCINNATI · PI LIU, MIN · 2016 to 2021
$4.9M
Apolipoprotein AV and intestinal transportR01DK103557 · NIDDK · UNIVERSITY OF CINCINNATI · PI TSO, PATRICK · 2015 to 2019
$1.9M
Apolipoprotein A5 and Gallstone FormationR01DK114516 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI WANG, DAVID Q · 2018 to 2021
$1.5M
GPR30 and Hepatic Cholesterol HomeostasisR01DK106249 · NIDDK · SAINT LOUIS UNIVERSITY · PI WANG, DAVID Q · 2015 to 2017
$1.0M
Gene therapy of alcoholic liver diseaseR21AA025737 · NIAAA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI WANG, DAVID Q · 2017 to 2018
$438k
NIAAA NIH HHS R21 AA025737NIDDK NIH HHS P30 DK041296NIDDK NIH HHS R01 DK103557NIDDK NIH HHS R01 DK106249NIDDK NIH HHS R01 DK114516NIDDK NIH HHS U2C DK059630
6 · The paper itself

Abstract

purpose of reviewThe establishment of mouse models of gallstones, and the contribution of mouse models to genetic studies of gallstone disease, as well as the latest advances in the pathophysiology of gallstones from mouse experiments are summarized. RECENT

findingsThe combined uses of genomic strategies and phenotypic studies in mice have successfully led to the identification of many Lith genes, which pave the way for the discovery of human LITH genes. The physical-chemical, genetic, and molecular biological studies of gallstone disease in mice with knockout or transgene of specific target genes have provided many novel insights into the complex pathophysiological mechanisms of this very common hepatobiliary disease worldwide, showing that interactions of five primary defects play a critical role in the pathogenesis of cholesterol gallstones. Based on mouse studies, a new concept has been proposed that hepatic hypersecretion of biliary cholesterol is induced by multiple Lith genes, with insulin resistance as part of the metabolic syndrome interacting with cholelithogenic environmental factors to cause the phenotype. SUMMARY: The mouse model of gallstones is crucial for elucidating the physical-chemical and genetic mechanisms of cholesterol crystallization and gallstone formation, which greatly increase our understanding of the pathogenesis of this disease in humans.

Indexed as

Disease Models, AnimalAnimalsATP Binding Cassette Transporter, Subfamily GCholelithiasisGallstonesGenetic Predisposition to DiseaseHumansMiceATP Binding Cassette Transporter, Subfamily G

Identifiers

PMID29266008
PMCPMC5938553

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Registered trials

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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.