Key result
Human-based in vitro models of atherosclerosis offer potential advantages over traditional animal models in scalability, reproducibility, and the ability to manipulate specific variables.
Why the study?
Animal models of atherosclerosis pose economic, ethical, and translational concerns, driving the need for robust human-based in vitro systems to recapitulate key disease features.
Answers are grounded in this paper and cite their sources.
In vitro models of human atherosclerosis offer potential advantages in scalability and reproducibility over traditional animal models, facilitating a deeper understanding of disease mechanisms.
Atherosclerotic cardiovascular diseases remain a leading cause of morbidity and mortality worldwide. Atherogenesis is a slow and life-long process characterized by the accumulation of lipoproteins and immune cells within the arterial wall. Atherosclerosis has been successfully modeled in animals: However, there are economic, ethical, and translational concerns when using these models. There is also growing recognition of the need for robust human-based in vitro systems that can faithfully recapitulate key aspects of human atherosclerosis. Such systems may offer advantages in terms of scalability, reproducibility, and ability to manipulate specific variables, thereby facilitating a deeper understanding of disease mechanisms and accelerating the development of targeted therapeutics. Leveraging innovative in vitro platforms holds promise in complementing traditional animal models of atherosclerosis. In the present review, we discuss the advantages and disadvantages of recently developed models of atherosclerosis and propose ideas to be considered when developing future generations of models.
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Melo et al. (2024) conducted a review in Atherosclerosis. In vitro models of atherosclerosis vs. Animal models was evaluated. Human-based in vitro models of atherosclerosis offer potential advantages over traditional animal models in scalability, reproducibility, and the ability to manipulate specific variables.
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