Evidence map›Paper›PMID 27916529›Full record

ReviewCell metabolism2017

Applications and Limitations of Mouse Models for Understanding Human Atherosclerosis.

Moritz von Scheidt, Yuqi Zhao, Zeyneb Kurt, Calvin Pan, Lingyao Zeng, Xia Yang, Heribert Schunkert, Aldons J Lusis

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cell metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 3 pooled it
–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

120 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Preclinical techniques to investigate exercise training in vascular pathophysiology.American journal of physiology. Heart and circulatory physiology · 2021
    Pooled it
  3. Pooled it
  4. Review
  5. Prelamin A in anArteriosclerosis, thrombosis, and vascular biology · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. NAD Metabolism Regulates Proliferation of Macrophages in Atherosclerosis.Arteriosclerosis, thrombosis, and vascular biology · 2025
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Review

60 more citing papers are in PubMed but not listed here.

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.

Moritz von ScheidtDeutsches Herzzentrum München, Technische Universität München, 80333 Munich, Germany.
Yuqi ZhaoDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Zeyneb KurtDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Calvin PanDepartments of Medicine, Microbiology, and Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Lingyao ZengDeutsches Herzzentrum München, Technische Universität München, 80333 Munich, Germany.
Xia YangDepartment of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Heribert SchunkertDeutsches Herzzentrum München, Technische Universität München, 80333 Munich, Germany; Deutsches Zentrum für Herz- und Kreislauferkrankungen (DZHK), Partner Site Munich Heart Alliance, 80336 Munich, Germany.
Aldons J LusisDepartments of Medicine, Microbiology, and Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA. Electronic address: jlusis@mednet.ucla.edu.

Funding

ULTRASTRUCTURE OF THE INTIMA IN EARLY LESION FORMATIONP01HL030568 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FOGELMAN, ALAN M · 1985 to 2019
$55.2M
Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REUE, KAREN · 1985 to 2019
$50.2M
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic SyndromeR01DK104363 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YANG, XIA · 2015 to 2019
$2.4M
NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01 HL030568NIDDK NIH HHS R01 DK104363
6 · The paper itself

Abstract

Most of the biological understanding of mechanisms underlying coronary artery disease (CAD) derives from studies of mouse models. The identification of multiple CAD loci and strong candidate genes in large human genome-wide association studies (GWASs) presented an opportunity to examine the relevance of mouse models for the human disease. We comprehensively reviewed the mouse literature, including 827 literature-derived genes, and compared it to human data. First, we observed striking concordance of risk factors for atherosclerosis in mice and humans. Second, there was highly significant overlap of mouse genes with human genes identified by GWASs. In particular, of the 46 genes with strong association signals in CAD GWASs that were studied in mouse models, all but one exhibited consistent effects on atherosclerosis-related phenotypes. Third, we compared 178 CAD-associated pathways derived from human GWASs with 263 from mouse studies and observed that the majority were consistent between the species.

Indexed as

Disease Models, AnimalAnimalsAtherosclerosisGenetic VariationGenome-Wide Association StudyHumansMiceRisk FactorsSignal TransductionCAD risk factorscommon and complex diseasediabetesengineered mouse modelsgenome-wide association studieslesions analysislipoprotein metabolismmouse atherosclerosis genespassenger genespathway modeling

Identifiers

PMID27916529
PMCPMC5484632

What OpenQuestion holds

Textmetadata
LicenceTDM
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.