Literature DB >> 22468952

Preclinical mouse models and methods for the discovery of the causes and treatments of atherosclerosis.

Bernd Hewing1, Edward A Fisher.   

Abstract

INTRODUCTION: Atherosclerosis is the leading cause of death in the Western world. Despite huge advances in understanding its pathophysiological mechanisms, current treatment is mostly based on 'traditional' risk factors. The introduction of statins more than 20 years ago reduced morbidity and mortality of atherosclerosis by 30%, leaving a residual cardiovascular risk. Therefore, efforts continue toward the development of novel therapies that can be added to established treatments. Besides targeting dyslipidemia, recent focus has been put on preventing or resolving inflammatory processes involved in atherosclerosis. AREAS COVERED: The article discusses therapeutic and diagnostic targets in atherosclerosis and how they can be discovered and studied in preclinical animal models. The roles of immune cells, specifically macrophages and monocytes, in plaque inflammation are discussed. The article also describes current preclinical models of atherosclerosis, specifically the mouse, study designs (for progression and regression studies), basic and advanced methods of analysis of atherosclerotic lesions, and discusses the challenges of translating the findings to humans. EXPERT OPINION: Advances in genomics, proteomics, lipidomics and the development of high-throughput screening techniques help to improve our understanding of atherosclerosis disease mechanisms immensely and facilitate the discovery of new diagnostic and therapeutic targets. Preclinical studies in animals are still indispensable to uncover pathways involved in atherosclerotic disease and to evaluate novel drug targets. The translation of these targets, however, from animal studies to humans remains challenging. There is a strong need for novel biomarkers that can be used to prove the concept of a new target in humans.

Entities:  

Mesh:

Year:  2012        PMID: 22468952      PMCID: PMC3612348          DOI: 10.1517/17460441.2012.660143

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  62 in total

Review 1.  Macrophage polarization comes of age.

Authors:  Alberto Mantovani; Antonio Sica; Massimo Locati
Journal:  Immunity       Date:  2005-10       Impact factor: 31.745

2.  Reversal of hyperlipidemia with a genetic switch favorably affects the content and inflammatory state of macrophages in atherosclerotic plaques.

Authors:  Jonathan E Feig; Sajesh Parathath; James X Rong; Stephanie L Mick; Yuliya Vengrenyuk; Lisa Grauer; Stephen G Young; Edward A Fisher
Journal:  Circulation       Date:  2011-02-21       Impact factor: 29.690

Review 3.  A systems biology approach to understanding atherosclerosis.

Authors:  Stephen A Ramsey; Elizabeth S Gold; Alan Aderem
Journal:  EMBO Mol Med       Date:  2010-03       Impact factor: 12.137

4.  Antagonism of miR-33 in mice promotes reverse cholesterol transport and regression of atherosclerosis.

Authors:  Katey J Rayner; Frederick J Sheedy; Christine C Esau; Farah N Hussain; Ryan E Temel; Saj Parathath; Janine M van Gils; Alistair J Rayner; Aaron N Chang; Yajaira Suarez; Carlos Fernandez-Hernando; Edward A Fisher; Kathryn J Moore
Journal:  J Clin Invest       Date:  2011-06-06       Impact factor: 14.808

5.  MiR-33 contributes to the regulation of cholesterol homeostasis.

Authors:  Katey J Rayner; Yajaira Suárez; Alberto Dávalos; Saj Parathath; Michael L Fitzgerald; Norimasa Tamehiro; Edward A Fisher; Kathryn J Moore; Carlos Fernández-Hernando
Journal:  Science       Date:  2010-05-13       Impact factor: 47.728

Review 6.  Macrophage death and defective inflammation resolution in atherosclerosis.

Authors:  Ira Tabas
Journal:  Nat Rev Immunol       Date:  2009-12-04       Impact factor: 53.106

7.  Gene expression changes in foam cells and the role of chemokine receptor CCR7 during atherosclerosis regression in ApoE-deficient mice.

Authors:  Eugene Trogan; Jonathan E Feig; Snjezana Dogan; George H Rothblat; Véronique Angeli; Frank Tacke; Gwendalyn J Randolph; Edward A Fisher
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-01       Impact factor: 11.205

Review 8.  Genomics and cardiovascular drug development.

Authors:  Andrew S Plump; Pek Yee Lum
Journal:  J Am Coll Cardiol       Date:  2009-03-31       Impact factor: 24.094

9.  Expression of cholesteryl ester transfer protein in mice promotes macrophage reverse cholesterol transport.

Authors:  Hiroyuki Tanigawa; Jeffrey T Billheimer; Jun-ichiro Tohyama; YuZhen Zhang; George Rothblat; Daniel J Rader
Journal:  Circulation       Date:  2007-08-20       Impact factor: 29.690

10.  The neuroimmune guidance cue netrin-1 promotes atherosclerosis by inhibiting the emigration of macrophages from plaques.

Authors:  Janine M van Gils; Merran C Derby; Luciana R Fernandes; Bhama Ramkhelawon; Tathagat D Ray; Katey J Rayner; Sajesh Parathath; Emilie Distel; Jessica L Feig; Jacqueline I Alvarez-Leite; Alistair J Rayner; Thomas O McDonald; Kevin D O'Brien; Lynda M Stuart; Edward A Fisher; Adam Lacy-Hulbert; Kathryn J Moore
Journal:  Nat Immunol       Date:  2012-01-08       Impact factor: 25.606

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  7 in total

1.  Effects of native and myeloperoxidase-modified apolipoprotein a-I on reverse cholesterol transport and atherosclerosis in mice.

Authors:  Bernd Hewing; Saj Parathath; Tessa Barrett; Wing Ki Kellie Chung; Yaritzy M Astudillo; Tadateru Hamada; Bhama Ramkhelawon; Thomas C Tallant; Mohamed Shaif S Yusufishaq; Joseph A Didonato; Ying Huang; Jennifer Buffa; Stela Z Berisha; Jonathan D Smith; Stanley L Hazen; Edward A Fisher
Journal:  Arterioscler Thromb Vasc Biol       Date:  2014-01-09       Impact factor: 8.311

2.  Cyclodextrin promotes atherosclerosis regression via macrophage reprogramming.

Authors:  Sebastian Zimmer; Alena Grebe; Siril S Bakke; Niklas Bode; Bente Halvorsen; Thomas Ulas; Mona Skjelland; Dominic De Nardo; Larisa I Labzin; Anja Kerksiek; Chris Hempel; Michael T Heneka; Victoria Hawxhurst; Michael L Fitzgerald; Jonel Trebicka; Ingemar Björkhem; Jan-Åke Gustafsson; Marit Westerterp; Alan R Tall; Samuel D Wright; Terje Espevik; Joachim L Schultze; Georg Nickenig; Dieter Lütjohann; Eicke Latz
Journal:  Sci Transl Med       Date:  2016-04-06       Impact factor: 17.956

3.  Genetic determinants of atherosclerosis, obesity, and energy balance in consomic mice.

Authors:  Sabrina H Spiezio; Lynn M Amon; Timothy S McMillen; Cynthia M Vick; Barbara A Houston; Mark Caldwell; Kayoko Ogimoto; Gregory J Morton; Elizabeth A Kirk; Michael W Schwartz; Joseph H Nadeau; Renée C LeBoeuf
Journal:  Mamm Genome       Date:  2014-07-08       Impact factor: 2.957

4.  The androgen receptor confers protection against diet-induced atherosclerosis, obesity, and dyslipidemia in female mice.

Authors:  Johan B Fagman; Anna S Wilhelmson; Benedetta M Motta; Carlo Pirazzi; Camilla Alexanderson; Karel De Gendt; Guido Verhoeven; Agneta Holmäng; Fredrik Anesten; John-Olov Jansson; Malin Levin; Jan Borén; Claes Ohlsson; Alexandra Krettek; Stefano Romeo; Åsa Tivesten
Journal:  FASEB J       Date:  2014-12-30       Impact factor: 5.191

5.  Epigenome-guided analysis of the transcriptome of plaque macrophages during atherosclerosis regression reveals activation of the Wnt signaling pathway.

Authors:  Stephen A Ramsey; Yuliya Vengrenyuk; Prashanthi Menon; Irina Podolsky; Jonathan E Feig; Alan Aderem; Edward A Fisher; Elizabeth S Gold
Journal:  PLoS Genet       Date:  2014-12-04       Impact factor: 5.917

6.  EVALUATION OF THE ANTI-INFLAMMATORY CAPACITY OF BETA-SITOSTEROL IN RODENT ASSAYS.

Authors:  Rogelio Paniagua-Pérez; Gabriela Flores-Mondragón; Celia Reyes-Legorreta; Brígida Herrera-López; Isabel Cervantes-Hernández; Osiris Madrigal-Santillán; José Antonio Morales-González; Isela Álvarez-González; Eduardo Madrigal-Bujaidar
Journal:  Afr J Tradit Complement Altern Med       Date:  2016-11-23

Review 7.  GPR109A and vascular inflammation.

Authors:  Joshua T Chai; Janet E Digby; Robin P Choudhury
Journal:  Curr Atheroscler Rep       Date:  2013-05       Impact factor: 5.113

  7 in total

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