Literature DB >> 16832167

And then there were acyl coenzyme A:cholesterol acyl transferase inhibitors.

Marijn C Meuwese1, Remco Franssen, Erik S G Stroes, John J P Kastelein.   

Abstract

PURPOSE OF REVIEW: The reputation of acyl coenzyme A:cholesterol acyltransferase (ACAT) inhibitors has changed profoundly from promising new drugs for cardiovascular prevention to drugs without clinical benefits or possibly even with adverse effects. RECENT
FINDINGS: ACAT inhibitors decrease the intracellular conversion of free cholesterol into cholesteryl ester in a number of tissues, including intestine, liver and macrophages. In contrast to promising results in experimental animal models, all subsequent clinical studies in humans with ACAT inhibitors failed to show lipid profile changes as well as reductions in surrogate markers for coronary artery disease. In fact, there was even a tendency towards an increase in atheroma burden in the most recent and well executed clinical trials. In addition, the inhibition of this pivotal enzyme in cholesterol esterification may interfere with reverse cholesterol transport.
SUMMARY: In our opinion, the consistent negative findings in recent clinical trials have virtually eliminated the chances for this class of drugs to be introduced for cardiovascular prevention. Possible strategies focused on selective ACAT 2 inhibition or the combination of ACAT inhibitors with compounds that stimulate reverse cholesterol transport may prove to have clinical benefit. This will have to await further clinical research in humans, however, as, obviously, rodent models cannot provide reliable data as to the efficacy of this class of drugs in humans.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16832167     DOI: 10.1097/01.mol.0000236369.50378.6e

Source DB:  PubMed          Journal:  Curr Opin Lipidol        ISSN: 0957-9672            Impact factor:   4.776


  2 in total

Review 1.  Cholesterol-metabolizing cytochromes P450: implications for cholesterol lowering.

Authors:  Irina A Pikuleva
Journal:  Expert Opin Drug Metab Toxicol       Date:  2008-11       Impact factor: 4.481

2.  Using self-organizing map (SOM) and support vector machine (SVM) for classification of selectivity of ACAT inhibitors.

Authors:  Ling Wang; Maolin Wang; Aixia Yan; Bin Dai
Journal:  Mol Divers       Date:  2012-11-04       Impact factor: 2.943

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.