Mouse Models for Atherosclerosis Research—Which Is My Line?

التفاصيل البيبلوغرافية
العنوان: Mouse Models for Atherosclerosis Research—Which Is My Line?
المؤلفون: Oppi, Sara, Lüscher, Thomas F., Stein, Sokrates
المصدر: Frontiers in Cardiovascular Medicine
بيانات النشر: Frontiers Media S.A., 2019.
سنة النشر: 2019
مصطلحات موضوعية: lipoprotein metabolism, Fibrillin 1, immunometabolic disease, Mini Review, mouse models, inflammatory signaling, PCSK9 (proprotein convertase subtilisin kexin type 9), Cardiovascular Medicine, atherosclerosis, Cardiology and Cardiovascular Medicine, cardiovascular disease (CV disease)
الوصف: 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.
اللغة: English
تدمد: 2297-055X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::dce8324aed693fa13728556dd9190e84
http://europepmc.org/articles/PMC6473202
حقوق: OPEN
رقم الأكسشن: edsair.pmid.dedup....dce8324aed693fa13728556dd9190e84
قاعدة البيانات: OpenAIRE