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Lack of predictability of classical animal models for hypolipidemic activity: a good time for mice?

B R Krause1, H M Princen

  • 1Parke-Davis Pharmaceutical Research, Warner-Lambert Company, Ann Arbor, MI 48105, USA. kraus01@aa.wl.com

Atherosclerosis
|September 11, 1998
PubMed

Insights

Genetic mouse models are improving the study of hypolipidemic drugs. These models better predict how drugs like statins and fibrates will work in humans, advancing dyslipidemia research.

Area of Science:

  • Pharmacology
  • Genetics
  • Biochemistry

Background:

  • Classical animal models often fail to predict human responses to hypolipidemic drugs.
  • Established drugs like statins and fibrates show limited efficacy in traditional models such as rats and hamsters.
  • Existing models do not fully recapitulate human lipid metabolism, hindering drug development.

Purpose of the Study:

  • To evaluate the utility of genetically modified mouse models for studying hypolipidemic drugs.
  • To determine if these novel models can better predict human drug responses compared to classical models.
  • To explore the application of these models in characterizing new hypolipidemic compounds.

Main Methods:

  • Utilizing genetically engineered mice with specific human genes or disrupted genes.
  • Re-examining the effects of established hypolipidemic drugs (statins, fibrates) in these models.
  • Screening for novel compounds targeting specific human lipid parameters like Lp(a) and cholesterol in LDL receptor-deficient mice.

Main Results:

  • Genetically modified mice exhibit drug responses mirroring those seen in humans, such as HDL elevation with fenofibrate in mice expressing the human apo A-I gene.
  • These models allow for the study of drug action on human-specific targets, like lowering human Lp(a).
  • The models facilitate the identification of compounds effective in scenarios lacking LDL receptors.

Conclusions:

  • Genetically modified mouse models offer a more focused approach to examining drug action in dyslipidemia.
  • These advanced models provide improved prediction of hypolipidemic drug efficacy in humans.
  • The use of these models is crucial for the development and characterization of novel therapeutic agents for lipid disorders.

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