Evidence map›Paper›PMID 31032262›Full record

ReviewFrontiers in cardiovascular medicine2019

Mouse Models for Atherosclerosis Research-Which Is My Line?

Sara Oppi, Thomas F Lüscher, Sokrates Stein

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 2 pooled it
8.5field-weighted citation impact, top 2% 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

113 citing papers in PubMed, 2 syntheses or guidelines pooled it, 174 citations in OpenAlex.

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  16. Engineering chimeric PCSK9 for a vaccine against atherosclerosis.Molecular therapy. Methods & clinical development · 2025
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53 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

3 authors at 2 institutions in 2 countries.

Sara OppiCenter for Molecular Cardiology, University of Zurich, Zurich, Switzerland.
Thomas F LüscherCenter for Molecular Cardiology, University of Zurich, Zurich, Switzerland.
Sokrates SteinCenter for Molecular Cardiology, University of Zurich, Zurich, Switzerland.
University of Zurich · CHImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis is one of the primary causes of cardiovascular disease and mortality. This chronic immunometabolic disease evolves during decades in humans and encompasses different organs and immune cell types, as well as local and systemic processes that promote the progression of the disease. The most frequently used animal model to study these atherogenic processes and inter-organ crosstalk in a short time frame are genetically modified mouse models. Some models have been used throughout the last decades, and some others been developed recently. These models have important differences in cholesterol and lipoprotein metabolism, reverse cholesterol transport pathway, obesity and diabetes as well as inflammatory processes. Therefore, the disease develops and progresses differently in the various mouse models. Since atherosclerosis is a multifaceted disease and many processes contribute to its progression, the choice of the right mouse model is important to study specific aspects of the disease. We will describe the different mouse models and provide a roadmap to facilitate current and future atherosclerosis researchers to choose the right model depending on their scientific question.

Indexed as

atherosclerosiscardiovascular disease (CV disease)Fibrillin 1immunometabolic diseaseinflammatory signalinglipoprotein metabolismmouse modelsPCSK9 (proprotein convertase subtilisin kexin type 9)

Identifiers

PMID31032262
PMCPMC6473202
OpenAlexW2938688210

What OpenQuestion 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 OpenQuestion graph.