Literature DB >> 28353407

Replicated evidence for aminoacylase 3 and nephrin gene variations to predict antihypertensive drug responses.

Jenni M Rimpelä1,2, Kimmo K Kontula1,2, Frej Fyhrquist3, Kati M Donner4, Annukka M Tuiskula2, Antti-Pekka Sarin4, Robert P Mohney5, Steven M Stirdivant5, Timo P Hiltunen1,2.   

Abstract

AIM: To replicate the genome-wide associations of the antihypertensive effects of bisoprolol and losartan in GENRES, using the Finnish patients of LIFE study. PATIENTS &
METHODS: We analyzed association of four SNPs with atenolol and three SNPs with losartan response in 927 Finnish LIFE patients (467 for atenolol and 460 for losartan).
RESULTS: rs2514036, a variation at a transcription start site of ACY3, was associated with blood pressure response to atenolol in men in LIFE. Response to bisoprolol was correlated to baseline plasma levels of N-acetylphenylalanine and phenylalanine (ACY3 substrate and end product, respectively) in GENRES study. NPHS1 variation rs3814995 was associated with losartan effect in LIFE.
CONCLUSION: We provide support for two pharmacogenomic markers for beta-blockers and angiotensin receptor antagonists.

Entities:  

Keywords:  aminoacylase 3; atenolol; bisoprolol; genome-wide; hypertension; losartan; nephrin; pharmacogenomics

Mesh:

Substances:

Year:  2017        PMID: 28353407     DOI: 10.2217/pgs-2016-0204

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


  9 in total

1.  Pharmacogenomics of Hypertension in CKD: The CKD-PGX Study.

Authors:  Michael T Eadon; Judith Maddatu; Sharon M Moe; Arjun D Sinha; Ricardo Melo Ferreira; Brent W Miller; S Jawad Sher; Jing Su; Victoria M Pratt; Arlene B Chapman; Todd C Skaar; Ranjani N Moorthi
Journal:  Kidney360       Date:  2022-02-24

2.  Pharmacoepigenetics of hypertension: genome-wide methylation analysis of responsiveness to four classes of antihypertensive drugs using a double-blind crossover study design.

Authors:  Marja-Liisa Nuotio; Heini Sánez Tähtisalo; Alexandra Lahtinen; Kati Donner; Frej Fyhrquist; Markus Perola; Kimmo K Kontula; Timo P Hiltunen
Journal:  Epigenetics       Date:  2022-02-25       Impact factor: 4.861

3.  Integrated Bioinformatics and Clinical Correlation Analysis of Key Genes, Pathways, and Potential Therapeutic Agents Related to Diabetic Nephropathy.

Authors:  Shengnan Chen; Lei Chen; Hongli Jiang
Journal:  Dis Markers       Date:  2022-05-21       Impact factor: 3.464

4.  Analytical validity of a genotyping assay for use with personalized antihypertensive and chronic kidney disease therapy.

Authors:  Kimberly S Collins; Victoria M Pratt; Wesley M Stansberry; Elizabeth B Medeiros; Karthik Kannegolla; Marelize Swart; Todd C Skaar; Arlene B Chapman; Brian S Decker; Ranjani N Moorthi; Michael T Eadon
Journal:  Pharmacogenet Genomics       Date:  2019-01       Impact factor: 2.089

5.  Pharmacogenomic studies of hypertension: paving the way for personalized antihypertensive treatment.

Authors:  Michael T Eadon; Sri H Kanuri; Arlene B Chapman
Journal:  Expert Rev Precis Med Drug Dev       Date:  2018-01-03

6.  Effects of four different antihypertensive drugs on plasma metabolomic profiles in patients with essential hypertension.

Authors:  Timo P Hiltunen; Jenni M Rimpelä; Robert P Mohney; Steven M Stirdivant; Kimmo K Kontula
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

Review 7.  Pharmacogenomics of Hypertension Treatment.

Authors:  Jacek Rysz; Beata Franczyk; Magdalena Rysz-Górzyńska; Anna Gluba-Brzózka
Journal:  Int J Mol Sci       Date:  2020-07-01       Impact factor: 5.923

8.  Genome-wide association study of nocturnal blood pressure dipping in hypertensive patients.

Authors:  Jenni M Rimpelä; Ilkka H Pörsti; Antti Jula; Terho Lehtimäki; Teemu J Niiranen; Lasse Oikarinen; Kimmo Porthan; Antti Tikkakoski; Juha Virolainen; Kimmo K Kontula; Timo P Hiltunen
Journal:  BMC Med Genet       Date:  2018-07-04       Impact factor: 2.103

9.  Genome-Wide Meta-Analysis of Blood Pressure Response to β1-Blockers: Results From ICAPS (International Consortium of Antihypertensive Pharmacogenomics Studies).

Authors:  Sonal Singh; Helen R Warren; Timo P Hiltunen; Caitrin W McDonough; Nihal El Rouby; Erika Salvi; Zhiying Wang; Tatiana Garofalidou; Frej Fyhrquist; Kimmo K Kontula; Valeria Glorioso; Roberta Zaninello; Nicola Glorioso; Carl J Pepine; Patricia B Munroe; Stephan T Turner; Arlene B Chapman; Eric Boerwinkle; Julie A Johnson; Yan Gong; Rhonda M Cooper-DeHoff
Journal:  J Am Heart Assoc       Date:  2019-08-19       Impact factor: 5.501

  9 in total

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