Literature DB >> 27916529

Applications and Limitations of Mouse Models for Understanding Human Atherosclerosis.

Moritz von Scheidt1, Yuqi Zhao2, Zeyneb Kurt2, Calvin Pan3, Lingyao Zeng1, Xia Yang2, Heribert Schunkert4, Aldons J Lusis5.   

Abstract

Most of the biological understanding of mechanisms underlying coronary artery disease (CAD) derives from studies of mouse models. The identification of multiple CAD loci and strong candidate genes in large human genome-wide association studies (GWASs) presented an opportunity to examine the relevance of mouse models for the human disease. We comprehensively reviewed the mouse literature, including 827 literature-derived genes, and compared it to human data. First, we observed striking concordance of risk factors for atherosclerosis in mice and humans. Second, there was highly significant overlap of mouse genes with human genes identified by GWASs. In particular, of the 46 genes with strong association signals in CAD GWASs that were studied in mouse models, all but one exhibited consistent effects on atherosclerosis-related phenotypes. Third, we compared 178 CAD-associated pathways derived from human GWASs with 263 from mouse studies and observed that the majority were consistent between the species.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CAD risk factors; common and complex disease; diabetes; engineered mouse models; genome-wide association studies; lesions analysis; lipoprotein metabolism; mouse atherosclerosis genes; passenger genes; pathway modeling

Mesh:

Year:  2016        PMID: 27916529      PMCID: PMC5484632          DOI: 10.1016/j.cmet.2016.11.001

Source DB:  PubMed          Journal:  Cell Metab        ISSN: 1550-4131            Impact factor:   27.287


  127 in total

1.  Gene expression analyses of mouse aortic endothelium in response to atherogenic stimuli.

Authors:  Ayca Erbilgin; Nathan Siemers; Paul Kayne; Wen-pin Yang; Judith Berliner; Aldons J Lusis
Journal:  Arterioscler Thromb Vasc Biol       Date:  2013-08-29       Impact factor: 8.311

Review 2.  The intima. Soil for atherosclerosis and restenosis.

Authors:  S M Schwartz; D deBlois; E R O'Brien
Journal:  Circ Res       Date:  1995-09       Impact factor: 17.367

Review 3.  High-density lipoprotein and atherosclerosis regression: evidence from preclinical and clinical studies.

Authors:  Jonathan E Feig; Bernd Hewing; Jonathan D Smith; Stanley L Hazen; Edward A Fisher
Journal:  Circ Res       Date:  2014-01-03       Impact factor: 17.367

Review 4.  Vascular calcification in chronic renal failure: what have we learned from animal studies?

Authors:  Ellen Neven; Patrick C D'Haese
Journal:  Circ Res       Date:  2011-01-21       Impact factor: 17.367

5.  High incidence of cardiovascular events in a rheumatoid arthritis cohort not explained by traditional cardiac risk factors.

Authors:  I D del Rincón; K Williams; M P Stern; G L Freeman; A Escalante
Journal:  Arthritis Rheum       Date:  2001-12

6.  Atherosclerosis in genetically obese mice: the mutants obese, diabetes, fat, tubby, and lethal yellow.

Authors:  P M Nishina; J K Naggert; J Verstuyft; B Paigen
Journal:  Metabolism       Date:  1994-05       Impact factor: 8.694

7.  Ath-1, a gene determining atherosclerosis susceptibility and high density lipoprotein levels in mice.

Authors:  B Paigen; D Mitchell; K Reue; A Morrow; A J Lusis; R C LeBoeuf
Journal:  Proc Natl Acad Sci U S A       Date:  1987-06       Impact factor: 11.205

Review 8.  Blood pressure, systolic and diastolic, and cardiovascular risks. US population data.

Authors:  J Stamler; R Stamler; J D Neaton
Journal:  Arch Intern Med       Date:  1993-03-08

9.  Modulation of atherogenic lipidome by cigarette smoke in apolipoprotein E-deficient mice.

Authors:  Stéphanie Boué; Kirill Tarasov; Minna Jänis; Stefan Lebrun; Reini Hurme; Walter Schlage; Michael Lietz; Gregory Vuillaume; Kim Ekroos; Yvonne Steffen; Manuel C Peitsch; Reijo Laaksonen; Julia Hoeng
Journal:  Atherosclerosis       Date:  2012-10-10       Impact factor: 5.162

10.  A novel mouse model that develops spontaneous arthritis and is predisposed towards atherosclerosis.

Authors:  Shawn Rose; Mesut Eren; Sheila Murphy; Heng Zhang; Colby Shad Thaxton; Jaime Chowaniec; Emily A Waters; Thomas J Meade; Douglas E Vaughan; Harris Perlman
Journal:  Ann Rheum Dis       Date:  2012-06-26       Impact factor: 19.103

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  56 in total

Review 1.  Genetic control of apoprotein A-I and atheroprotection: some insights from inbred strains of mice.

Authors:  Godfrey S Getz; Catherine A Reardon
Journal:  Curr Opin Lipidol       Date:  2017-10       Impact factor: 4.776

2.  Determination of Salivary Myeloperoxidase, Immunoglobulin E, and Tumor Necrosis Factor-α after Complete Denture Insertion.

Authors:  Milena Kostic; Marko Igic; Tatjana Jevtovic Stoimenov; Ana Pejcic; Jana Pesic Stankovic
Journal:  Med Princ Pract       Date:  2019-03-08       Impact factor: 1.927

Review 3.  Mouse Systems Genetics as a Prelude to Precision Medicine.

Authors:  Hao Li; Johan Auwerx
Journal:  Trends Genet       Date:  2020-02-06       Impact factor: 11.639

Review 4.  ATVB Distinguished Scientist Award: How Costimulatory and Coinhibitory Pathways Shape Atherosclerosis.

Authors:  Klaus Ley; Norbert Gerdes; Holger Winkels
Journal:  Arterioscler Thromb Vasc Biol       Date:  2017-03-30       Impact factor: 8.311

5.  Pressure overload leads to coronary plaque formation, progression, and myocardial events in ApoE-/- mice.

Authors:  Alice Marino; Yi Zhang; Luisa Rubinelli; Maria Antonietta Riemma; James E Ip; Annarita Di Lorenzo
Journal:  JCI Insight       Date:  2019-05-02

6.  Lack of myeloid Fatp1 increases atherosclerotic lesion size in Ldlr-/- mice.

Authors:  Liyang Zhao; Alyssa J Cozzo; Amy R Johnson; Taylor Christensen; Alex J Freemerman; James E Bear; Jeremy D Rotty; Brian J Bennett; Liza Makowski
Journal:  Atherosclerosis       Date:  2017-10-07       Impact factor: 5.162

7.  Changes in Cerebral Arteries and Parenchymal Arterioles With Aging: Role of Rho Kinase 2 and Impact of Genetic Background.

Authors:  T Michael De Silva; Mary L Modrick; Fabrice Dabertrand; Frank M Faraci
Journal:  Hypertension       Date:  2018-03-12       Impact factor: 10.190

Review 8.  Animal models to study bile acid metabolism.

Authors:  Jianing Li; Paul A Dawson
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2018-05-18       Impact factor: 5.187

9.  Simultaneous LC/MS/MS quantification of eight apolipoproteins in normal and hypercholesterolemic mouse plasma.

Authors:  Richard Wagner; Julia Dittrich; Joachim Thiery; Uta Ceglarek; Ralph Burkhardt
Journal:  J Lipid Res       Date:  2019-02-05       Impact factor: 5.922

10.  When Enough Is Enough: Decision Criteria for Moving a Known Drug into Clinical Testing for a New Indication in the Absence of Preclinical Efficacy Data.

Authors:  Jill M Pulley; Rebecca N Jerome; Nicole M Zaleski; Jana K Shirey-Rice; Andrea J Pruijssers; Robert R Lavieri; Somsundaram N Chettiar; Helen M Naylor; David M Aronoff; David A Edwards; Colleen M Niswender; Laura L Dugan; Leslie J Crofford; Gordon R Bernard; Kenneth J Holroyd
Journal:  Assay Drug Dev Technol       Date:  2017-12-01       Impact factor: 1.738

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