Literature DB >> 17257685

ACE phenotyping as a first step toward personalized medicine for ACE inhibitors. Why does ACE genotyping not predict the therapeutic efficacy of ACE inhibition?

A H Jan Danser1, Wendy W Batenburg, Anton H van den Meiracker, Sergei M Danilov.   

Abstract

Angiotensin (Ang)-converting enzyme (ACE) inhibitors are widely used for the treatment of cardiovascular diseases. Not all patients respond to ACE inhibitors, and it has been suggested that genetic variation might be a useful marker to predict the therapeutic efficacy of these drugs. In particular, the ACE insertion (I)/deletion (D) polymorphism has been investigated in this regard. Despite a decade of intensive research involving the genotyping of thousands of patients, we still do not know whether ACE genotyping helps in predicting the success of ACE inhibition. This review critically addresses the concept that predictive information on therapeutic efficacy of ACE inhibitors might be obtained based on ACE genotyping. It answers the following questions: Do higher ACE levels really result in higher Ang II levels? Is ACE the only converting enzyme in humans? Does ACE inhibition affect ACE expression? Why does ACE have 2 catalytically active domains? What is the relevance of ACE inhibitor-induced signaling through membrane-bound ACE? The review ends with the proposal that ACE phenotyping may prove to be a better first step toward personalized medicine for ACE inhibitors than ACE genotyping.

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Year:  2006        PMID: 17257685     DOI: 10.1016/j.pharmthera.2006.12.001

Source DB:  PubMed          Journal:  Pharmacol Ther        ISSN: 0163-7258            Impact factor:   12.310


  24 in total

1.  Renal angiotensin-converting enzyme upregulation: a prerequisite for nitric oxide synthase inhibition-induced hypertension?

Authors:  Lodi C W Roksnoer; Ewout J Hoorn; A H Jan Danser
Journal:  J Am Soc Nephrol       Date:  2014-07-10       Impact factor: 10.121

Review 2.  Urinary markers of intrarenal renin-angiotensin system activity in vivo.

Authors:  Lodi C W Roksnoer; Koen Verdonk; Anton H van den Meiracker; Ewout J Hoorn; Robert Zietse; A H Jan Danser
Journal:  Curr Hypertens Rep       Date:  2013-04       Impact factor: 5.369

3.  Interlaboratory reproducibility of selective reaction monitoring assays using multiple upfront analyte enrichment strategies.

Authors:  Amol Prakash; Taha Rezai; Bryan Krastins; David Sarracino; Michael Athanas; Paul Russo; Hui Zhang; Yuan Tian; Yan Li; Vathany Kulasingam; Andrei Drabovich; Christopher R Smith; Ihor Batruch; Paul E Oran; Claudia Fredolini; Alessandra Luchini; Lance Liotta; Emanuel Petricoin; Eleftherios P Diamandis; Daniel W Chan; Randall Nelson; Mary F Lopez
Journal:  J Proteome Res       Date:  2012-07-03       Impact factor: 4.466

Review 4.  Pharmacogenetics of heart failure: evidence, opportunities, and challenges for cardiovascular pharmacogenomics.

Authors:  Matthew T Wheeler; Michael Ho; Joshua W Knowles; Aleks Pavlovic; Euan A Ashley
Journal:  J Cardiovasc Transl Res       Date:  2008-01-29       Impact factor: 4.132

Review 5.  Pharmacoeconomic evaluations of pharmacogenetic and genomic screening programmes: a systematic review on content and adherence to guidelines.

Authors:  Stefan Vegter; Cornelis Boersma; Mark Rozenbaum; Bob Wilffert; Gerjan Navis; Maarten J Postma
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

6.  Angiotensin-converting enzyme gene polymorphism is associated with type 2 diabetes: a meta-analysis.

Authors:  Jian-Bo Zhou; Jin-Kui Yang; Jing-Kai Lu; Yan-Hua An
Journal:  Mol Biol Rep       Date:  2009-08-05       Impact factor: 2.316

Review 7.  Keeping pace with ACE: are ACE inhibitors and angiotensin II type 1 receptor antagonists potential doping agents?

Authors:  Pei Wang; Matthew N Fedoruk; Jim L Rupert
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

8.  Conformational changes of blood ACE in chronic uremia.

Authors:  Maxim N Petrov; Valery Y Shilo; Alexandr V Tarasov; David E Schwartz; Joe G N Garcia; Olga A Kost; Sergei M Danilov
Journal:  PLoS One       Date:  2012-11-16       Impact factor: 3.240

9.  Functional Proteomic Profiling of Phosphodiesterases Using SeraFILE Separations Platform.

Authors:  Amita R Oka; Matthew P Kuruc; Ketan M Gujarathi; Swapan Roy
Journal:  Int J Proteomics       Date:  2012-11-25

10.  The angiotensin converting enzyme insertion/deletion polymorphism alters the response of muscle energy supply lines to exercise.

Authors:  David Vaughan; Felicitas A Huber-Abel; Franziska Graber; Hans Hoppeler; Martin Flück
Journal:  Eur J Appl Physiol       Date:  2013-02-09       Impact factor: 3.078

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