ReviewAmerican journal of translational research2019
Modelling of atherosclerosis in genetically modified animals.
Review in American journal of translational research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 23 citations in OpenAlex.
- Sex Differences in Dietary-Induced Liver Steatosis and Insulin Receptor-Related Signaling in Aged Mice Lacking Serotonin Transporter.International journal of molecular sciences · 2026Article
- Non-rodent Models of Atherosclerosis: Repurposing of Existing Drugs and Search for Novel Treatment Strategies.Current cardiology reviews · 2025Review
- Multi-omics reveals protective effects of Ling Gui Zhu Gan Decoction on hyperlipidaemia in hamster.Heliyon · 2024Article
- Integrating Computational and Biological Hemodynamic Approaches to Improve Modeling of Atherosclerotic Arteries.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Tackling Atherosclerosis via Selected Nutrition.International journal of molecular sciences · 2022Review
- Dosage of Dual-Protein Nutrition Differentially Impacts the Formation of Atherosclerosis inNutrients · 2022Article
- Disturbance of Mitochondrial Dynamics and Mitochondrial Therapies in Atherosclerosis.Life (Basel, Switzerland) · 2021Review
- Stiffness of aortic arch and carotid arteries increases inAmerican journal of translational research · 2021Article
- Recent Application of Zebrafish Models in Atherosclerosis Research.Frontiers in cell and developmental biology · 2021Review
- Monitoring Endothelin-A Receptor Expression during the Progression of Atherosclerosis.Biomedicines · 2020Article
- High Pathological Reproducibility of Diet-induced Atherosclerosis in MicrominipigsIn vivo (Athens, Greece)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atherosclerosis is a lipid-driven, chronic inflammatory disease that leads to plaque formation at specific sites of the arterial tree. Being the common cause of many cardiovascular disorders, atherosclerosis makes a tremendous impact on morbidity and mortality rates of cardiovascular diseases (CVDs) in countries with higher income. Animal models of atherosclerosis are utilized as useful tools for studying the aetiology, pathogenesis and complications of atherosclerosis, thus, providing a valuable platform for the efficacy testing of different pharmacological therapies and validation of imaging techniques. To date, a large variety of models is available. Pathophysiological changes can be induced in animals by either an atherogenic diet or genetic manipulations. The discussion of advantages and disadvantages of some murine, rabbit and porcine genetic models currently available for the atherosclerosis research is the scope of the following review.
Indexed as
Identifiers
31497187PMC6731422W2995531801What Socratic holds
Registered trials
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 Socratic graph.