Journal of Lipid Research (Jan 2012)
Plasma lipid profiling across species for the identification of optimal animal models of human dyslipidemia[S]
- Wu Yin,
- Ester Carballo-Jane,
- David G. McLaren,
- Vivienne H. Mendoza,
- Karen Gagen,
- Neil S. Geoghagen,
- Lesley Ann McNamara,
- Judith N. Gorski,
- George J. Eiermann,
- Aleksandr Petrov,
- Michael Wolff,
- Xinchun Tong,
- Larissa C. Wilsie,
- Taro E. Akiyama,
- Jing Chen,
- Anil Thankappan,
- Jiyan Xue,
- Xiaoli Ping,
- Genevieve Andrews,
- L. Alexandra Wickham,
- Cesaire L. Gai,
- Tu Trinh,
- Alison A. Kulick,
- Marcie J. Donnelly,
- Gregory O. Voronin,
- Ray Rosa,
- Anne-Marie Cumiskey,
- Kavitha Bekkari,
- Lyndon J. Mitnaul,
- Oscar Puig,
- Fabian Chen,
- Richard Raubertas,
- Peggy H. Wong,
- Barbara C. Hansen,
- Ken S. Koblan,
- Thomas P. Roddy,
- Brian K Hubbard,
- Alison M. Strack
Affiliations
- Wu Yin
- To whom correspondence should be addressed. (A.M.S.); (W.Y.); Departments of Atherosclerosis, Merck Research Laboratories, Rahway, NJ 07065; To whom correspondence should be addressed. (A.M.S.); (W.Y.)
- Ester Carballo-Jane
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- David G. McLaren
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- Vivienne H. Mendoza
- Departments of Atherosclerosis, Merck Research Laboratories, Rahway, NJ 07065
- Karen Gagen
- Departments of Atherosclerosis, Merck Research Laboratories, Rahway, NJ 07065
- Neil S. Geoghagen
- Departments of Atherosclerosis, Merck Research Laboratories, Rahway, NJ 07065
- Lesley Ann McNamara
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- Judith N. Gorski
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- George J. Eiermann
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- Aleksandr Petrov
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- Michael Wolff
- Drug Metabolism Pharmacokinetics, Merck Research Laboratories, Rahway, NJ 07065
- Xinchun Tong
- Drug Metabolism Pharmacokinetics, Merck Research Laboratories, Rahway, NJ 07065
- Larissa C. Wilsie
- Departments of Atherosclerosis, Merck Research Laboratories, Rahway, NJ 07065
- Taro E. Akiyama
- Departments of Diabetes, Merck Research Laboratories, Rahway, NJ 07065
- Jing Chen
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- Anil Thankappan
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- Jiyan Xue
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- Xiaoli Ping
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- Genevieve Andrews
- Laboratory Animal Resources, Merck Research Laboratories, Rahway, NJ 07065
- L. Alexandra Wickham
- Laboratory Animal Resources, Merck Research Laboratories, Rahway, NJ 07065
- Cesaire L. Gai
- Laboratory Animal Resources, Merck Research Laboratories, Rahway, NJ 07065
- Tu Trinh
- Laboratory Animal Resources, Merck Research Laboratories, Rahway, NJ 07065
- Alison A. Kulick
- Laboratory Animal Resources, Merck Research Laboratories, Rahway, NJ 07065
- Marcie J. Donnelly
- Laboratory Animal Resources, Merck Research Laboratories, Rahway, NJ 07065
- Gregory O. Voronin
- Laboratory Animal Resources, Merck Research Laboratories, Rahway, NJ 07065
- Ray Rosa
- Departments of Atherosclerosis, Merck Research Laboratories, Rahway, NJ 07065
- Anne-Marie Cumiskey
- Departments of Atherosclerosis, Merck Research Laboratories, Rahway, NJ 07065
- Kavitha Bekkari
- Molecular Profiling Research Informatics, Merck Research Laboratories, Rahway, NJ 07065
- Lyndon J. Mitnaul
- Departments of Atherosclerosis, Merck Research Laboratories, Rahway, NJ 07065
- Oscar Puig
- Molecular Profiling Research Informatics, Merck Research Laboratories, Rahway, NJ 07065
- Fabian Chen
- Early Development Statistics, Merck Research Laboratories, Rahway, NJ 07065
- Richard Raubertas
- Early Development Statistics, Merck Research Laboratories, Rahway, NJ 07065
- Peggy H. Wong
- Early Development Statistics, Merck Research Laboratories, Rahway, NJ 07065
- Barbara C. Hansen
- University of South Florida, Obesity, Diabetes and Aging Research Center, Tampa, FL 33612
- Ken S. Koblan
- Alnylam Pharmaceuticals, Cambridge, MA 02140
- Thomas P. Roddy
- Central Pharmacology, Merck Research Laboratories, Rahway, NJ 07065
- Brian K Hubbard
- Departments of Atherosclerosis, Merck Research Laboratories, Rahway, NJ 07065
- Alison M. Strack
- To whom correspondence should be addressed. (A.M.S.); (W.Y.); Departments of Atherosclerosis, Merck Research Laboratories, Rahway, NJ 07065; To whom correspondence should be addressed. (A.M.S.); (W.Y.)
- Journal volume & issue
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Vol. 53,
no. 1
pp. 51 – 65
Abstract
In an attempt to understand the applicability of various animal models to dyslipidemia in humans and to identify improved preclinical models for target discovery and validation for dyslipidemia, we measured comprehensive plasma lipid profiles in 24 models. These included five mouse strains, six other nonprimate species, and four nonhuman primate (NHP) species, and both healthy animals and animals with metabolic disorders. Dyslipidemic humans were assessed by the same measures. Plasma lipoprotein profiles, eight major plasma lipid fractions, and FA compositions within these lipid fractions were compared both qualitatively and quantitatively across the species. Given the importance of statins in decreasing plasma low-density lipoprotein cholesterol for treatment of dyslipidemia in humans, the responses of these measures to simvastatin treatment were also assessed for each species and compared with dyslipidemic humans. NHPs, followed by dog, were the models that demonstrated closest overall match to dyslipidemic humans. For the subset of the dyslipidemic population with high plasma triglyceride levels, the data also pointed to hamster and db/db mouse as representative models for practical use in target validation. Most traditional models, including rabbit, Zucker diabetic fatty rat, and the majority of mouse models, did not demonstrate overall similarity to dyslipidemic humans in this study.