Evidence map›Paper›PMID 34558834›Full record

ArticleHepatology communications2022

Transcriptomic Cross-Species Analysis of Chronic Liver Disease Reveals Consistent Regulation Between Humans and Mice.

Christian H Holland, Ricardo O Ramirez Flores, Maiju Myllys, Reham Hassan, Karolina Edlund, Ute Hofmann, Rosemarie Marchan, Cristina Cadenas, Jörg Reinders, Stefan Hoehme and 12 more

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.4field-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

36 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  5. CIDEC Restricts Liver Regeneration by Disturbing Lipid Droplet Triglyceride Turnover.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Bile acid regulation of xenobiotic nuclear receptors on the expressions of orosomucoids in the liver.American journal of physiology. Endocrinology and metabolism · 2025
    Article
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  11. Review
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  15. 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

22 authors at 5 institutions in 3 countries.

Christian H HollandInstitute of Computational Biomedicine, Faculty of Medicine, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-3060-5786
Ricardo O Ramirez FloresInstitute of Computational Biomedicine, Faculty of Medicine, Heidelberg University, Heidelberg, Germany.ORCID 0000-0003-0087-371X
Maiju MyllysSystems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.ORCID 0000-0001-9117-4572
Reham HassanSystems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
Karolina EdlundSystems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
Ute HofmannDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
Rosemarie MarchanSystems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
Cristina CadenasSystems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
Jörg ReindersSystems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
Stefan HoehmeInstitute for Computer Science & Saxonian Incubator for Clinical Research, University of Leipzig, Leipzig, Germany.
Abdel-Latif SeddekDepartment of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, South Valley University, Qena, Egypt.
Steven DooleyDepartment of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Verena KeitelClinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Düsseldorf, Medical Faculty at Heinrich-Heine-University, Düsseldorf, Germany.
Patricio GodoySystems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
Brigitte Begher-TibbeSystems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
Christian TrautweinDepartment of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
Christian RuppInternal Medicine IV, University Hospital Heidelberg, Heidelberg, Germany.
Sebastian MuellerSalem Medical Center and Center for Alcohol Research, University of Heidelberg, Heidelberg, Germany.
Thomas LongerichTranslational Gastrointestinal Pathology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.
Jan G HengstlerSystems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.ORCID 0000-0002-1427-5246
Julio Saez-RodriguezInstitute of Computational Biomedicine, Faculty of Medicine, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-8552-8976
Ahmed GhallabSystems Toxicology, Leibniz Research Centre for Working Environment and Human Factors at the Technical University Dortmund, Dortmund, Germany.
TU Dortmund University · DEHeidelberg University · DESouth Valley University · EGDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DEDüsseldorf University Hospital · DE

Funding

EU-ToxRisk 681002LiSyM 031L0045LiSyM 031L0049LiSyM 031L0052TransQST 116030
6 · The paper itself

Abstract

Mouse models are frequently used to study chronic liver diseases (CLDs). To assess their translational relevance, we quantified the similarity of commonly used mouse models to human CLDs based on transcriptome data. Gene-expression data from 372 patients were compared with data from acute and chronic mouse models consisting of 227 mice, and additionally to nine published gene sets of chronic mouse models. Genes consistently altered in humans and mice were mapped to liver cell types based on single-cell RNA-sequencing data and validated by immunostaining. Considering the top differentially expressed genes, the similarity between humans and mice varied among the mouse models and depended on the period of damage induction. The highest recall (0.4) and precision (0.33) were observed for the model with 12-months damage induction by CCl

Indexed as

Disease Models, AnimalGene Expression ProfilingTranscriptomeAnimalsChronic DiseaseDown-RegulationHumansLiver DiseasesMiceSpecies SpecificityUp-Regulation

Identifiers

PMID34558834
PMCPMC8710791
OpenAlexW3197201262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.