Literature DB >> 32180510

Fibrate pharmacogenomics: expanding past the genome.

John S House1, Alison A Motsinger-Reif1.   

Abstract

Fibrates are a medication class prescribed for decades as 'broad-spectrum' lipid-modifying agents used to lower blood triglyceride levels and raise high-density lipoprotein cholesterol levels. Such lipid changes are associated with a decrease in cardiovascular disease, and fibrates are commonly used to reduce risk of dangerous cardiovascular outcomes. As with most drugs, it is well established that response to fibrate treatment is variable, and this variation is heritable. This has motivated the investigation of pharmacogenomic determinants of response, and multiple studies have discovered a number of genes associated with fibrate response. Similar to other complex traits, the interrogation of single nucleotide polymorphisms using candidate gene or genome-wide approaches has not revealed a substantial portion of response variation. However, recent innovations in technological platforms and advances in statistical methodologies are revolutionizing the use and integration of other 'omes' in pharmacogenomics studies. Here, we detail successes, challenges, and recent advances in fibrate pharmacogenomics.

Entities:  

Keywords:  cardiovascular disease; fibrates; triglycerides

Year:  2020        PMID: 32180510      PMCID: PMC7202259          DOI: 10.2217/pgs-2019-0140

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  109 in total

1.  Pioglitazone increases apolipoprotein A-I production by directly enhancing PPRE-dependent transcription in HepG2 cells.

Authors:  Lin-Hua Zhang; Vaijinath S Kamanna; Shobha H Ganji; Xi-Ming Xiong; Moti L Kashyap
Journal:  J Lipid Res       Date:  2010-04-06       Impact factor: 5.922

2.  Long-term effects of intensive glucose lowering on cardiovascular outcomes.

Authors:  Hertzel C Gerstein; Michael E Miller; Saul Genuth; Faramarz Ismail-Beigi; John B Buse; David C Goff; Jeffrey L Probstfield; William C Cushman; Henry N Ginsberg; J Thomas Bigger; Richard H Grimm; Robert P Byington; Yves D Rosenberg; William T Friedewald
Journal:  N Engl J Med       Date:  2011-03-03       Impact factor: 91.245

3.  Diabetes, plasma insulin, and cardiovascular disease: subgroup analysis from the Department of Veterans Affairs high-density lipoprotein intervention trial (VA-HIT).

Authors:  Hanna Bloomfield Rubins; Sander J Robins; Dorothea Collins; David B Nelson; Marshall B Elam; Ernst J Schaefer; Fred H Faas; James W Anderson
Journal:  Arch Intern Med       Date:  2002 Dec 9-23

4.  Effect of liver fatty acid binding protein (FABP) T94A missense mutation on plasma lipoprotein responsiveness to treatment with fenofibrate.

Authors:  Charles Brouillette; Yohan Bossé; Louis Pérusse; Daniel Gaudet; Marie-Claude Vohl
Journal:  J Hum Genet       Date:  2004-07-13       Impact factor: 3.172

5.  Polymorphisms in the gene encoding lipoprotein lipase in men with low HDL-C and coronary heart disease: the Veterans Affairs HDL Intervention Trial.

Authors:  Margaret E Brousseau; Allison L Goldkamp; Dorothea Collins; Serkalem Demissie; Allison C Connolly; L Adrienne Cupples; Jose M Ordovas; Hanna E Bloomfield; Sander J Robins; Ernst J Schaefer
Journal:  J Lipid Res       Date:  2004-08-01       Impact factor: 5.922

6.  Lipid changes due to fenofibrate treatment are not associated with changes in DNA methylation patterns in the GOLDN study.

Authors:  Mithun Das; M Ryan Irvin; Jin Sha; Stella Aslibekyan; Bertha Hidalgo; Rodney T Perry; Degui Zhi; Hemant K Tiwari; Devin Absher; Jose M Ordovas; Donna K Arnett
Journal:  Front Genet       Date:  2015-09-29       Impact factor: 4.599

Review 7.  DNA methylation in human lipid metabolism and related diseases.

Authors:  Kirstin Mittelstraß; Melanie Waldenberger
Journal:  Curr Opin Lipidol       Date:  2018-04       Impact factor: 4.776

8.  Variants identified in a GWAS meta-analysis for blood lipids are associated with the lipid response to fenofibrate.

Authors:  Stella Aslibekyan; Mark O Goodarzi; Alexis C Frazier-Wood; Xiaofei Yan; Marguerite R Irvin; Eric Kim; Hemant K Tiwari; Xiuqing Guo; Robert J Straka; Kent D Taylor; Michael Y Tsai; Paul N Hopkins; Stanley G Korenman; Ingrid B Borecki; Yii-Der I Chen; Jose M Ordovas; Jerome I Rotter; Donna K Arnett
Journal:  PLoS One       Date:  2012-10-31       Impact factor: 3.240

9.  Association between APOE, SCARB1, PPARα polymorphisms and serum lipids in a population of Lithuanian adults.

Authors:  Alina Smalinskiene; Janina Petkeviciene; Dalia Luksiene; Kristina Jureniene; Jurate Klumbiene; Vaiva Lesauskaite
Journal:  Lipids Health Dis       Date:  2013-08-06       Impact factor: 3.876

10.  Reliability of genomic predictions of complex human phenotypes.

Authors:  Arthur Porto; Juan M Peralta; Nicholas B Blackburn; John Blangero
Journal:  BMC Proc       Date:  2018-09-17
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  1 in total

Review 1.  Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.

Authors:  Ramón Cacabelos; Vinogran Naidoo; Lola Corzo; Natalia Cacabelos; Juan C Carril
Journal:  Int J Mol Sci       Date:  2021-12-10       Impact factor: 5.923

  1 in total

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