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Chaemsaithong P, Biswas M, Lertrut W, Warintaksa P, Wataganara T, Poon LC, Sukasem C. Pharmacogenomics of Preeclampsia therapies: Current evidence and future challenges for clinical implementation. Best Pract Res Clin Obstet Gynaecol 2024; 92:102437. [PMID: 38103508 DOI: 10.1016/j.bpobgyn.2023.102437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 10/03/2023] [Accepted: 11/20/2023] [Indexed: 12/19/2023]
Abstract
Preeclampsia is a pregnancy-specific disorder, and it is a leading cause of maternal and perinatal morbidity and mortality. The application of pharmacogenetics to antihypertensive agents and dose selection in women with preeclampsia is still in its infancy. No current prescribing guidelines from the clinical pharmacogenetics implementation consortium (CPIC) exist for preeclampsia. Although more studies on pharmacogenomics are underway, there is some evidence for the pharmacogenomics of preeclampsia therapies, considering both the pharmacokinetic (PK) and pharmacodynamic (PD) properties of drugs used in preeclampsia. It has been revealed that the CYP2D6*10 variant is significantly higher in women with preeclampsia who are non-responsive to labetalol compared to those who are in the responsive group. Various genetic variants of PD targets, i.e., NOS3, MMP9, MMP2, TIMP1, TIMP3, VEGF, and NAMPT, have been investigated to assess the responsiveness of antihypertensive therapies in preeclampsia management, and they indicated that certain genetic variants of MMP9, TIMP1, and NAMPT are more frequently observed in those who are non-responsive to anti-hypertensive therapies compared to those who are responsive. Further, gene-gene interactions have revealed that NAMPT, TIMP1, and MMP2 genotypes are associated with an increased risk of preeclampsia, and they are more frequently observed in the non-responsive subgroup of women with preeclampsia. The current evidence is not rigorous enough for clinical implementation; however, an institutional or regional-based retrospective analysis of audited data may help close the knowledge gap during the transitional period from a traditional approach (a "one-size-fits-all" strategy) to the pharmacogenomics of preeclampsia therapies.
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Affiliation(s)
- Piya Chaemsaithong
- Department of Obstetrics and Gynecology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Mohitosh Biswas
- Department of Pharmacy, University of Rajshahi, Rajshahi, Bangladesh; Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand; Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
| | - Waranyu Lertrut
- Department of Obstetrics and Gynecology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Puntabut Warintaksa
- Department of Obstetrics and Gynecology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Tuangsit Wataganara
- Division of Maternal-Fetal-Medicine, Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Prannok Road, Bangkoknoi, Bangkok, 10700, Thailand
| | - Liona Cy Poon
- Department of Obstetrics and Gynaecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand; Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand; Pharmacogenomics Clinic, Bumrungrad Genomic Medicine Institute, Bumrungrad International Hospital, Bangkok, 10110, Thailand; Research and Development Laboratory, Bumrungrad International Hospital, Bangkok, Thailand; Faculty of Pharmaceutical Sciences, Burapha University, Saensuk, Mueang, Chonburi 20131, Thailand; Department of Pharmacology and Therapeutics, MRC Centre for Drug Safety Science, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool, UK.
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Grossini E, De Zanet D, Apostolo D, Mallela VR, La Rocca G, Greco A, Coratza G, Minisini R, Pirisi M. rs1801253 Gly/Gly carriage in the ADRB1 gene leads to unbalanced cardiac sympathetic modulation as assessed by spectral analysis of heart rate variability. Clin Auton Res 2024; 34:205-208. [PMID: 38032435 DOI: 10.1007/s10286-023-01001-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/04/2023] [Indexed: 12/01/2023]
Affiliation(s)
- E Grossini
- Laboratory of Physiology, Department of Translational Medicine, Università del Piemonte Orientale, Via Solaroli 17, 28100, Novara, Italy.
| | - D De Zanet
- Laboratory of Physiology, Department of Translational Medicine, Università del Piemonte Orientale, Via Solaroli 17, 28100, Novara, Italy
| | - D Apostolo
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, "Maggiore Della Carità" Hospital, Novara, Italy
| | - V R Mallela
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, "Maggiore Della Carità" Hospital, Novara, Italy
| | - G La Rocca
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, "Maggiore Della Carità" Hospital, Novara, Italy
| | - A Greco
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, "Maggiore Della Carità" Hospital, Novara, Italy
| | - G Coratza
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, "Maggiore Della Carità" Hospital, Novara, Italy
| | - R Minisini
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, "Maggiore Della Carità" Hospital, Novara, Italy
| | - M Pirisi
- Internal Medicine Unit, Department of Translational Medicine, Università del Piemonte Orientale, "Maggiore Della Carità" Hospital, Novara, Italy
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Fayed MS, Saleh MA, Sabri NA, Elkholy AA. β1-adrenergic receptor polymorphisms: a possible genetic predictor of bisoprolol response in acute coronary syndrome. Future Sci OA 2023; 9:FSO895. [PMID: 37753361 PMCID: PMC10518825 DOI: 10.2144/fsoa-2023-0113] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 08/04/2023] [Indexed: 09/28/2023] Open
Abstract
Aim To investigate the association between beta1-adrenergic receptor (ADRB1) polymorphisms and response to bisoprolol treatment in beta-blocker naive patients with acute coronary syndrome (ACS). Patients & methods Seventy-seven patients received bisoprolol for four weeks. Blood pressure and heart rate were measured at baseline and during treatment. TaqMan allelic discrimination method was utilized for ADRB1 Ser49Gly and Arg389Gly genotyping. Results Arg389Arg carriers showed greater reductions in systolic and diastolic blood pressure (-8.5% ± 7.8% vs -0.76% ± 8.7%, p = 0.000218), and (-9.5% ± 9.7% vs -0.80% ± 11.5%, p = 0.000149), respectively, compared with Gly389 carriers. No statistical difference was found for study's outcomes based on codon 49. Conclusion Arg389Gly polymorphism is a promising bisoprolol response predictor in ACS patients.
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Affiliation(s)
- Mohamed S Fayed
- Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt
| | - Mohamed Ayman Saleh
- Department of Cardiology, Faculty of Medicine, Ain Shams University, Cairo, 1181, Egypt
| | - Nagwa A Sabri
- Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt
| | - Amal A Elkholy
- Department of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt
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Bello L, Hoffman EP, Pegoraro E. Is it time for genetic modifiers to predict prognosis in Duchenne muscular dystrophy? Nat Rev Neurol 2023; 19:410-423. [PMID: 37308617 DOI: 10.1038/s41582-023-00823-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2023] [Indexed: 06/14/2023]
Abstract
Patients with Duchenne muscular dystrophy (DMD) show clinically relevant phenotypic variability, despite sharing the same primary biochemical defect (dystrophin deficiency). Factors contributing to this clinical variability include allelic heterogeneity (specific DMD mutations), genetic modifiers (trans-acting genetic polymorphisms) and variations in clinical care. Recently, a series of genetic modifiers have been identified, mostly involving genes and/or proteins that regulate inflammation and fibrosis - processes increasingly recognized as being causally linked with physical disability. This article reviews genetic modifier studies in DMD to date and discusses the effect of genetic modifiers on predicting disease trajectories (prognosis), clinical trial design and interpretation (inclusion of genotype-stratified subgroup analyses) and therapeutic approaches. The genetic modifiers identified to date underscore the importance of progressive fibrosis, downstream of dystrophin deficiency, in driving the disease process. As such, genetic modifiers have shown the importance of therapies aimed at slowing this fibrotic process and might point to key drug targets.
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Affiliation(s)
- Luca Bello
- Department of Neurosciences (DNS), University of Padova, Padova, Italy
| | - Eric P Hoffman
- School of Pharmacy and Pharmaceutical Sciences, Binghamton University (State University of New York), Binghamton, NY, USA
| | - Elena Pegoraro
- Department of Neurosciences (DNS), University of Padova, Padova, Italy.
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Li Y, Li B, Chen WD, Wang YD. Role of G-protein coupled receptors in cardiovascular diseases. Front Cardiovasc Med 2023; 10:1130312. [PMID: 37342437 PMCID: PMC10277692 DOI: 10.3389/fcvm.2023.1130312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 05/09/2023] [Indexed: 06/22/2023] Open
Abstract
Cardiovascular diseases (CVDs) are the leading cause of death globally, with CVDs accounting for nearly 30% of deaths worldwide each year. G-protein-coupled receptors (GPCRs) are the most prominent family of receptors on the cell surface, and play an essential regulating cellular physiology and pathology. Some GPCR antagonists, such as β-blockers, are standard therapy for the treatment of CVDs. In addition, nearly one-third of the drugs used to treat CVDs target GPCRs. All the evidence demonstrates the crucial role of GPCRs in CVDs. Over the past decades, studies on the structure and function of GPCRs have identified many targets for the treatment of CVDs. In this review, we summarize and discuss the role of GPCRs in the function of the cardiovascular system from both vascular and heart perspectives, then analyze the complex ways in which multiple GPCRs exert regulatory functions in vascular and heart diseases. We hope to provide new ideas for the treatment of CVDs and the development of novel drugs.
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Affiliation(s)
- Yuanqiang Li
- State Key Laboratory of Chemical Resource Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Boyu Li
- Department of Gastroenterology and Hematology, The People's Hospital of Hebi, Henan, China
| | - Wei-Dong Chen
- Key Laboratory of Receptors-Mediated Gene Regulation and Drug Discovery, School of Basic Medical Science, Inner Mongolia Medical University, Hohhot, China
- Key Laboratory of Receptors-Mediated Gene Regulation, School of Medicine, The People’s Hospital of Hebi, Henan University, Kaifeng, China
| | - Yan-Dong Wang
- State Key Laboratory of Chemical Resource Engineering, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
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Kelley EF, Cross TJ, McDonald CM, Investigators C, Hoffman EP, Spurney CF, Bello L. Influence of β 1 Adrenergic Receptor Genotype on Longitudinal Measures of Left Ventricular Ejection Fraction and Responsiveness to ß-Blocker Therapy in Patients With Duchenne Muscular Dystrophy. CLINICAL MEDICINE INSIGHTS-CARDIOLOGY 2022; 16:11795468221116838. [PMID: 36046180 PMCID: PMC9421016 DOI: 10.1177/11795468221116838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 07/11/2022] [Indexed: 11/15/2022]
Abstract
The purpose of this study was to determine whether the longitudinal progression of decline in left ventricular ejection fraction (LVEF) in Duchenne muscular dystrophy (DMD) patients is moderated by ADRB1 genotype and whether the efficacy of ß-blocker therapy is influenced by genotype status. About 147 DMD patients (6-34 years.) were analyzed with a focus on β1 adrenergic receptor (ADRB1) genotype variants. Patients were grouped by ADRB1 genotype resulting in Gly389 patients and Arg389 patients. A generalized additive mixed effects model was used to examine differences in the nonlinear trend of LVEF across patient ages between genotype groups and for ß-blocker use. Both genotype groups displayed a progressive decline in LVEF starting around the mean age of ambulation loss (~12 years). However, there was no difference between genotype groups in the progression of decline in LVEF. There was a significant effect of ß-blocker use on longitudinal LVEF, wherein patients on ß-blockers had systematically lower LVEF when compared to patients not on ß-blockers. However, the effect of ß-blocker therapy on LVEF was not affected by ADRB1 genotype. The current study did not demonstrate an influence of patient ADRB1 genotype on longitudinal LVEF in our cohort. Despite previous literature suggesting a positive influence of ß-blocker use on cardiac function in DMD patients and of an ADRB1 genotypic difference in responsiveness to ß-blocker use, we did not observe this in our cohort. Interestingly, our cohort did not demonstrate a positive influence of ß-blocker use on LVEF measures.
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Affiliation(s)
- Eli F Kelley
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Troy J Cross
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Craig M McDonald
- University of California Davis Medical Center, Sacramento, CA, USA
| | - Cinrg Investigators
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.,Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.,University of California Davis Medical Center, Sacramento, CA, USA.,Binghamton University-SUNY, Binghamton, NY, USA.,Center for Genetic Medicine, Children's Research Institute, Children's National Health System, Washington, DC, USA.,Division of Cardiology, Children's National Heart Institute, Children's National Hospital, Washington, DC, USA.,Department of Neurosciences, University of Padova, Padova, Italy
| | - Eric P Hoffman
- Binghamton University-SUNY, Binghamton, NY, USA.,Center for Genetic Medicine, Children's Research Institute, Children's National Health System, Washington, DC, USA
| | - Christopher F Spurney
- Division of Cardiology, Children's National Heart Institute, Children's National Hospital, Washington, DC, USA
| | - Luca Bello
- Department of Neurosciences, University of Padova, Padova, Italy
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Carnovale C, Perrotta C, Baldelli S, Cattaneo D, Montrasio C, Barbieri SS, Pompilio G, Vantaggiato C, Clementi E, Pozzi M. Antihypertensive drugs and brain function: mechanisms underlying therapeutically beneficial and harmful neuropsychiatric effects. Cardiovasc Res 2022; 119:647-667. [PMID: 35895876 PMCID: PMC10153433 DOI: 10.1093/cvr/cvac110] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 06/15/2022] [Accepted: 06/21/2022] [Indexed: 11/14/2022] Open
Abstract
A bidirectional relationship exists between hypertension and psychiatric disorders, including unipolar and bipolar depression, anxiety, post-traumatic stress disorder (PTSD), psychosis, schizophrenia, mania, and dementia/cognitive decline. Repurposing of antihypertensive drugs to treat mental disorders is thus being explored. A systematic knowledge of the mechanisms of action and clinical consequences of the use of antihypertensive agents on neuropsychiatric functions has not been achieved yet. In this article, we review the putative role of antihypertensive agents in psychiatric disorders, discuss the targets and mechanisms of action, and examine how and to what extent specific drug classes/molecules may trigger, worsen, or mitigate psychiatric symptoms. In addition, we review pharmacokinetics (brain penetration of drugs) and pharmacogenetics data that add important information to assess risks and benefits of antihypertensive drugs in neuropsychiatric settings. The scientific literature shows robust evidence of a positive effect of α1 blockers on PTSD symptoms, nightmares and sleep quality, α2 agonists on core symptoms, executive function and quality of life in Attention-Deficit/Hyperactivity Disorder, PTSD, Tourette's syndrome, and β blockers on anxiety, aggression, working memory, and social communication. Renin-angiotensin system modulators exert protective effects on cognition, depression, and anxiety, and the loop diuretic bumetanide reduced the core symptoms of autism in a subset of patients. There is no evidence of clear benefits of calcium channel blockers in mood disorders in the scientific literature. These findings are mainly from preclinical studies; clinical data are still insufficient or of anecdotal nature, and seldom systematic. The information herewith provided can support a better therapeutic approach to hypertension, tailored to patients with, or with high susceptibility to, psychiatric illness. It may prompt clinical studies exploring the potential benefit of antihypertensive drugs in selected patients with neuropsychiatric comorbidities that include outcomes of neuropsychiatric interest and specifically assess undesirable effects or interactions.
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Affiliation(s)
- Carla Carnovale
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, 20157 Milano, Italy
| | - Cristiana Perrotta
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, 20157 Milano, Italy
| | - Sara Baldelli
- Unit of Clinical Pharmacology, ASST Fatebenefratelli-Sacco University Hospital, 20157 Milano, Italy
| | - Dario Cattaneo
- Unit of Clinical Pharmacology, ASST Fatebenefratelli-Sacco University Hospital, 20157 Milano, Italy
| | - Cristina Montrasio
- Unit of Clinical Pharmacology, ASST Fatebenefratelli-Sacco University Hospital, 20157 Milano, Italy
| | - Silvia S Barbieri
- Unit of Brain-Heart axis: cellular and molecular mechanisms - Centro Cardiologico Monzino IRCCS, 20138 Milano, Italy
| | - Giulio Pompilio
- Unit of Vascular Biology and Regenerative Medicine - Centro Cardiologico Monzino IRCCS, 20138, Milan, Italy.,Department of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, Milan, Italy
| | | | - Emilio Clementi
- Unit of Clinical Pharmacology, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, 20157 Milano, Italy.,Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | - Marco Pozzi
- Scientific Institute IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
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Zeng W, Chu TTW, Ho CS, Lo CWS, Chan ASL, Kong APS, Tomlinson B, Chan SW. Lack of Effects of Renin-Angiotensin-Aldosterone System Activity and Beta-Adrenoceptor Pathway Polymorphisms on the Response to Bisoprolol in Hypertension. Front Cardiovasc Med 2022; 9:842875. [PMID: 35433877 PMCID: PMC9010557 DOI: 10.3389/fcvm.2022.842875] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 02/10/2022] [Indexed: 01/02/2023] Open
Abstract
Purpose This study examined the effects of plasma renin activity (PRA), angiotensin II (Ang II) and aldosterone (PAC) concentrations as well as common polymorphisms in the β1-Adrenoceptor gene (ADRB1) and the G-protein α-Subunit (Gαs) protein gene the G protein α-Subunit 1 gene (GNAS) on the blood pressure (BP) and heart rate (HR) response to bisoprolol in Chinese patients with hypertension. Methods Patients with sitting clinic systolic BP (SBP) 140–169 mmHg and/or diastolic BP (DBP) 90–109 mmHg after placebo run-in were treated with open-label bisoprolol 2.5 mg daily for 6 weeks. Patients diagnosed as having primary aldosteronism or renal artery stenosis were excluded. PRA, Ang II and PAC concentrations were measured after the placebo run-in and after 6 weeks of treatment. The Ser49Gly and Arg389Gly polymorphisms in ADRB1 and the c.393C > T polymorphism in GNAS were genotyped by the TaqMan® assay. Results In 99 patients who completed the study, baseline PAC levels were significantly associated with baseline DBP and plasma potassium on univariate but not on multivariate linear regression analysis. PRA, Ang II, and PAC concentrations at baseline were not associated with changes in BP with bisoprolol treatment, but the values were all significantly reduced (PRA −0.141 ± 0.595 ng/mL/h, Ang II −2.390 ± 5.171 pmol/L and aldosterone −51.86 ± 119.1 pg/mL; all P < 0.05) following 6 weeks of bisoprolol treatment. There were no significant differences in BP or HR responses in patients with baseline PRA above or below the PRA cut-point of 0.65 ng/mL/h or the median value of 0.9 ng/ml/hour. There were no significant associations of the ADRB1 and GNAS polymorphisms with the clinic and ambulatory BP and HR responses to bisoprolol. Conclusion Baseline PRA, PAC and Ang II concentrations showed no significant association with the BP response to bisoprolol treatment, but all these parameters were reduced after 6 weeks of treatment with bisoprolol. The two common polymorphisms in ADRB1 and the c.393C > T polymorphism in GNAS had no significant association with the BP and HR response to bisoprolol in these patients.
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Affiliation(s)
- Weiwei Zeng
- Shenzhen Baoan Women’s and Children’s Hospital, Jinan University, Shenzhen, China
| | - Tanya T. W. Chu
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Chung Shun Ho
- Department of Chemical Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Clara W. S. Lo
- Department of Chemical Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Alan S. L. Chan
- Department of Chemical Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Alice P. S. Kong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Brian Tomlinson
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Faculty of Medicine, Macau University of Science and Technology, Macau, Macau SAR, China
- *Correspondence: Brian Tomlinson,
| | - Sze Wa Chan
- School of Health Sciences, Caritas Institute of Higher Education, Hong Kong, Hong Kong SAR, China
- Sze Wa Chan,
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Genetic polymorphisms in ADRB2 and ADRB1 are associated with differential survival in heart failure patients taking β-blockers. THE PHARMACOGENOMICS JOURNAL 2022; 22:62-68. [PMID: 34642472 PMCID: PMC8799480 DOI: 10.1038/s41397-021-00257-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/22/2021] [Accepted: 09/28/2021] [Indexed: 02/07/2023]
Abstract
Single nucleotide polymorphisms (SNPs) have been associated with differential beta-blocker (BB) effects on heart rate, blood pressure, and left ventricular ejection fraction in various patient populations. This study aimed to determine if SNPs previously associated with BB response are also associated with differential survival in heart failure (HF) patients receiving BBs. HF patient data were derived from electronic health records and the Social Security Death Index. Associations and interactions between BB dose, SNP genotype, and the outcome of death were assessed using a Cox proportional-hazard model adjusting for covariates known to be associated with differential survival in HF patients. Two SNPs, ADRB1 Arg389Gly and ADRB2 Glu27Gln, displayed significant interactions (Pint = 0.043 and Pint = 0.017, respectively) with BB dose and their association with mortality. Our study suggests that ADRB2 27Glu and ADRB1 389Arg may confer a larger survival benefit with higher BB doses in patients with HF.
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Matušková L, Javorka M. Adrenergic receptors gene polymorphisms and autonomic nervous control of heart and vascular tone. Physiol Res 2022; 70:S495-S510. [DOI: 10.33549/physiolres.934799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Adrenergic receptors (ARs) are the primary targets of catecholamines released from the sympathetic nerve endings during their activation. ARs play a central role in autonomic nervous system and serve as important targets of widely used drugs. Several ARs gene polymorphisms were found to be associated with cardiovascular disease in previous clinical studies. Although more precise mechanism of the polymorphisms influence on autonomic control of cardiovascular system was studied in many previous physiological studies, their results are not unequivocal. This paper reviews the results of clinical and physiological studies focused on the impact of selected common single nucleotide polymorphisms of ARs genes involved in sympathetic control on cardiovascular system and its control. In summary, many studies assessed only a very limited range of cardiovascular control related parameters providing only very limited view on the complex cardiovascular control. The overview of partially contradicting results underlines a need to examine wider range of cardiovascular measures including their reactivity under various stress conditions requiring further study. It is expected that an effect of one given polymorphism is not very prominent, but it is suggested that even subtle differences in cardiovascular control could – on a longer time scale – lead to the development of severe pathological consequences.
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Affiliation(s)
- L Matušková
- Department of Physiology, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Martin, Slovakia.
| | - M Javorka
- Department of Physiology, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Martin, Slovakia
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Matuskova L, Czippelova B, Turianikova Z, Svec D, Kolkova Z, Lasabova Z, Javorka M. Beta-adrenergic receptors gene polymorphisms are associated with cardiac contractility and blood pressure variability. Physiol Res 2021; 70:S327-S337. [PMID: 35099251 DOI: 10.33549/physiolres.934837] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Beta-adrenergic receptors (beta-ARs) play a pivotal role in the cardiovascular regulation. In the human heart beta1- and beta2-ARs dominate in atria as well as in ventricle influencing heart rate and myocardial contractility. Some single nucleotide polymorphisms (SNPs) of beta-ARs might influence cardiovascular function. However, the influence of beta-AR genes SNPs on hemodynamic parameters at rest and their reactivity under stress is still not well known. We aimed to explore the associations between four selected beta-ARs gene polymorphisms and selected cardiovascular measures in eighty-seven young healthy subjects. While in beta1-AR polymorphism rs1801252 no significant association was observed, second beta1-AR polymorphism rs1801253 was associated with decreased cardiac output and cardiac index during all phases and with decreased flow time corrected and ejection time index at rest and during mental arithmetics. Polymorphism rs1042713 in beta2-AR was associated with alterations in blood pressure variability at rest and during head-up-tilt, while rs1042714 was associated predominantly with decreased parameters of cardiac contractility at rest and during mental arithmetics. We conclude that complex analysis of various cardiovascular characteristics related to the strength of cardiac contraction and blood pressure variability can reveal subtle differences in cardiovascular sympathetic nervous control associated with beta-ARs polymorphisms.
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Affiliation(s)
- L Matuskova
- Department of Physiology, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Martin, Slovakia.
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Eadon MT, Maddatu J, Moe SM, Sinha AD, Melo Ferreira R, Miller BW, Sher SJ, Su J, Pratt VM, Chapman AB, Skaar TC, Moorthi RN. Pharmacogenomics of Hypertension in CKD: The CKD-PGX Study. KIDNEY360 2021; 3:307-316. [PMID: 35342886 PMCID: PMC8953763 DOI: 10.34067/kid.0005362021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background Patients with CKD often have uncontrolled hypertension despite polypharmacy. Pharmacogenomic drug-gene interactions (DGIs) may affect the metabolism or efficacy of antihypertensive agents. We report changes in hypertension control after providing a panel of 11 pharmacogenomic predictors of antihypertensive response. Methods A prospective cohort with CKD and hypertension was followed to assess feasibility of pharmacogenomic testing implementation, self-reported provider utilization, and BP control. The analysis population included 382 subjects with hypertension who were genotyped for cross-sectional assessment of DGIs, and 335 subjects followed for 1 year to assess systolic BP (SBP) and diastolic BP (DBP). Results Most participants (58%) with uncontrolled hypertension had a DGI reducing the efficacy of one or more antihypertensive agents. Subjects with a DGI had 1.85-fold (95% CI, 1.2- to 2.8-fold) higher odds of uncontrolled hypertension, as compared with those without a DGI, adjusted for race, health system (safety-net hospital versus other locations), and advanced CKD (eGFR <30 ml/min). CYP2C9-reduced metabolism genotypes were associated with losartan response and uncontrolled hypertension (odds ratio [OR], 5.2; 95% CI, 1.9 to 14.7). CYP2D6-intermediate or -poor metabolizers had less frequent uncontrolled hypertension compared with normal metabolizers taking metoprolol or carvedilol (OR, 0.55; 95% CI, 0.3 to 0.95). In 335 subjects completing 1-year follow-up, SBP (-4.0 mm Hg; 95% CI, 1.6 to 6.5 mm Hg) and DBP (-3.3 mm Hg; 95% CI, 2.0 to 4.6 mm Hg) were improved. No significant difference in SBP or DBP change were found between individuals with and without a DGI. Conclusions There is a potential role for the addition of pharmacogenomic testing to optimize antihypertensive regimens in patients with CKD.
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Affiliation(s)
- Michael T. Eadon
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana,Richard L. Roudebush Veterans Administration Medical Center, Indianapolis, Indiana
| | - Judith Maddatu
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Sharon M. Moe
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Arjun D. Sinha
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana,Richard L. Roudebush Veterans Administration Medical Center, Indianapolis, Indiana
| | - Ricardo Melo Ferreira
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Brent W. Miller
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - S. Jawad Sher
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Jing Su
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana
| | - Victoria M. Pratt
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | | | - Todd C. Skaar
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Ranjani N. Moorthi
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
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13
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Larina VN, Leonova MV. Genetic Polymorphism of beta1-adrenergic Receptors and the Effect on the Clinical Efficacy of beta-adrenoblockers. RATIONAL PHARMACOTHERAPY IN CARDIOLOGY 2021. [DOI: 10.20996/1819-6446-2021-10-13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Beta-adrenergic blockers are a valuable class of cardiovascular drugs and are widely used in the treatment of arterial hypertension (AH), coronary heart disease, chronic heart failure (CHF), cardiac arrhythmias, significantly improving the prognosis of patients. However, the clinical efficacy of betablockers is largely dependent on the genetic polymorphism of beta1-adrenergic receptors (ADRB1). The aim of the review was a systematic analysis of scientific data from pharmacogenetic studies on the role of beta1-adrenergic receptor polymorphism in the clinical efficacy of beta-blockers in the treatment of hypertension, chronic heart failure, and atrial fibrillation. The results of clinical trials and meta-analyzes were used. Of greatest importance is the genetic polymorphism of beta1-adrenergic receptors of two loci – Arg389Gly and Ser49Gly; the frequency of occurrence of variant and less functionally active alleles Gly389 and Gly49 in Europeans reaches 27% and 15%. The variant Gly389 allele has reduced functional activity and carriers have a weak response to the use of beta-blockers. In carriers of variant alleles Gly389 and Gly49 a reduced hypotensive effect on the use of beta-blockers was observed, and in studies of long-term efficacy, carriage of variant alleles was accompanied by an increase in the frequency and risk of unfavorable outcomes of hypertension. In pharmacogenetic studies, a reduced effect of the effect on myocardial remodeling in patients with CHF for beta-blockers in carriers of the variant Gly389 allele were confirmed. According to two meta-analyzes of trials on use of beta-blockers in patients with CHF, the frequency of increased left ventricle ejection fraction was significantly higher in carriers of the wild Arg389Arg gene type (risk ratio=1.83, p=0,001). In contrast, in atrial fibrillation, the frequency of rhythm control with beta-blockers was achieved better in the presence of the variant allele Gly389 with “loss of function”. Another polymorphic Gly49 allele plays a role in desensitization and down-regulation of beta1-receptor activity, although clinically this effect has been less obvious and contradictory. However, in studies, a more pronounced clinical effect of beta-blockers was observed in carriers of the wild genotype Ser49Ser, as well as in carriers of the haplotype Ser49Ser/Arg389Arg. Thus, genetic polymorphism ADRB1 may be another important predictor of the effectiveness of beta-blockers in clinical practice, which must be taken into account in the treatment of cardiovascular diseases.
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Affiliation(s)
- V. N. Larina
- Interregional Public Organization Association of Clinical Pharmacologists
| | - M. V. Leonova
- Pirogov Russian National Research Medical University
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14
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Castaño-Amores C, Díaz-Villamarín X, Pérez-Gutiérrez AM, Antúnez-Rodríguez A, Pozo-Agundo A, Moreno-Escobar E, Sánchez-Ramos JG, Martínez-González LJ, Dávila-Fajardo CL. Pharmacogenetic polymorphisms affecting bisoprolol response. Biomed Pharmacother 2021; 142:112069. [PMID: 34470728 DOI: 10.1016/j.biopha.2021.112069] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/13/2021] [Accepted: 08/17/2021] [Indexed: 12/30/2022] Open
Abstract
β-blockers are commonly prescribed to treat multiple cardiovascular (CV) diseases, but, frequently, adverse drug reactions and intolerance limit their use in clinical practice. Interindividual variability in response to β-blockers may be explained by genetic differences. In fact, pharmacogenetic interactions for some of these drugs have been widely studied, such as metoprolol. But studies that explore genetic variants affecting bisoprolol response are inconclusive, limited or confusing because of mixed results with other β-Blockers, different genetic polymorphisms observed, endpoint studied etc. Because of this, we performed a systematic review in order to find relevant genetic variants affecting bisoprolol response. We have found genetic polymorphism in several genes, but most of the studies focused in ADRB variants. The ADRB1 Arg389Gly (rs1801253) was the most studied genetic polymorphism and it seems to influence the response to bisoprolol, although studies are inconclusive. Even, we performed a meta-analysis about its influence on systolic/diastolic blood pressure in patients treated with bisoprolol, but this did not show statistically significant results. In conclusion, many genetic polymorphisms have been assessed about their influence on patients´ response to bisoprolol and the ADRB1 Arg389Gly (rs1801253) seems the most relevant genetic polymorphism in this regard but results have not been confirmed with a meta-analysis. Our results support the need of further studies about the impact of genetic variants on bisoprolol response, considering different genetic polymorphisms and conducting single and multiple SNPs analysis, including other clinical parameters related to bisoprolol response in a multivariate study.
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Affiliation(s)
- Celia Castaño-Amores
- Pharmacy Unit; Hospital Universitario clínico San Cecilio - Instituto de investigación biosanitaria (ibs.Granada), Granada, Spain
| | - Xando Díaz-Villamarín
- Pharmacy Unit; Hospital Universitario clínico San Cecilio - Instituto de investigación biosanitaria (ibs.Granada), Granada, Spain; Genomics Unit; Pfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research (GENyO), Granada, Spain.
| | - Ana María Pérez-Gutiérrez
- Department of Biochemistry and Molecular Biology II; School of Pharmacy, University of Granada, Granada, Spain
| | - Alba Antúnez-Rodríguez
- Genomics Unit; Pfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research (GENyO), Granada, Spain
| | - Ana Pozo-Agundo
- Genomics Unit; Pfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research (GENyO), Granada, Spain
| | - Eduardo Moreno-Escobar
- Cardiology Unit; Hospital Universitario clínico San Cecilio - Instituto de investigación biosanitaria (ibs.Granada), Granada, Spain
| | - Jesús Gabriel Sánchez-Ramos
- Cardiology Unit; Hospital Universitario clínico San Cecilio - Instituto de investigación biosanitaria (ibs.Granada), Granada, Spain
| | - Luis Javier Martínez-González
- Genomics Unit; Pfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research (GENyO), Granada, Spain
| | - Cristina Lucía Dávila-Fajardo
- Pharmacy Unit; Hospital Universitario Virgen de las Nieves - Instituto de investigación biosanitaria (ibs.Granada), Granada, Spain
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15
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Abstract
Over the past decade, pharmacogenetic testing has emerged in clinical practice to guide selected cardiovascular therapies. The most common implementation in practice is CYP2C19 genotyping to predict clopidogrel response and assist in selecting antiplatelet therapy after percutaneous coronary intervention. Additional examples include genotyping to guide warfarin dosing and statin prescribing. Increasing evidence exists on outcomes with genotype-guided cardiovascular therapies from multiple randomized controlled trials and observational studies. Pharmacogenetic evidence is accumulating for additional cardiovascular medications. However, data for many of these medications are not yet sufficient to support the use of genotyping for drug prescribing. Ultimately, pharmacogenetics might provide a means to individualize drug regimens for complex diseases such as heart failure, in which the treatment armamentarium includes a growing list of medications shown to reduce morbidity and mortality. However, sophisticated analytical approaches are likely to be necessary to dissect the genetic underpinnings of responses to drug combinations. In this Review, we examine the evidence supporting pharmacogenetic testing in cardiovascular medicine, including that available from several clinical trials. In addition, we describe guidelines that support the use of cardiovascular pharmacogenetics, provide examples of clinical implementation of genotype-guided cardiovascular therapies and discuss opportunities for future growth of the field.
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16
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Rahman F, Muthaiah N, Kumaramanickavel G. Current concepts and molecular mechanisms in pharmacogenetics of essential hypertension. Indian J Pharmacol 2021; 53:301-309. [PMID: 34414909 PMCID: PMC8411967 DOI: 10.4103/ijp.ijp_593_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Hypertension is a leading age-related disease in our society and if left untreated, leads to fatal cardiovascular complications. The prevalence of hypertension has increased and becomes a significant global health economic burden, particularly in lower-income societies. Many loci associated with blood pressure and hypertension have been reported by genome-wide association studies that provided potential targets for pharmacotherapy. Pharmacogenetic research had shown interindividual variations in drug efficacy, safety, and tolerability. This could be due to genetic polymorphisms in the pharmacokinetics (genes involved in a transporter, plasma protein binding, and metabolism) or pharmacodynamic pathway (receptors, ion channels, enzymes). Pharmacogenetics promises great hope toward targeted therapy, but challenges remain in implementing pharmacogenetic aided antihypertensive therapy in clinical practice. Using various databases, we analyzed the underlying mechanisms between the candidate gene polymorphisms and antihypertensive drug interactions and the challenges of implementing precision medicine. We review the emergence of pharmacogenetics and its relevance to clinical pharmacological practice.
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Affiliation(s)
- Farhana Rahman
- Department of Pharmacology, Sree Balaji Medical College and Hospital, Bharat University, Chennai, Tamil Nadu, India
| | - Nagasundaram Muthaiah
- Department of Pharmacology, Sree Balaji Medical College and Hospital, Bharat University, Chennai, Tamil Nadu, India
| | - Govindasamy Kumaramanickavel
- Genomic Research Centre, Sree Balaji Medical College and Hospital, Bharat University, Chennai, Tamil Nadu, India
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17
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Nevola KT, Nagarajan A, Hinton AC, Trajanoska K, Formosa MM, Xuereb-Anastasi A, van der Velde N, Stricker BH, Rivadeneira F, Fuggle NR, Westbury LD, Dennison EM, Cooper C, Kiel DP, Motyl KJ, Lary CW. Pharmacogenomic Effects of β-Blocker Use on Femoral Neck Bone Mineral Density. J Endocr Soc 2021; 5:bvab092. [PMID: 34195528 PMCID: PMC8237849 DOI: 10.1210/jendso/bvab092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Indexed: 11/19/2022] Open
Abstract
CONTEXT Recent studies have shown that β-blocker (BB) users have a decreased risk of fracture and higher bone mineral density (BMD) compared to nonusers, likely due to the suppression of adrenergic signaling in osteoblasts, leading to increased BMD. There is also variability in the effect size of BB use on BMD in humans, which may be due to pharmacogenomic effects. OBJECTIVE To investigate potential single-nucleotide variations (SNVs) associated with the effect of BB use on femoral neck BMD, we performed a cross-sectional analysis using clinical data, dual-energy x-ray absorptiometry, and genetic data from the Framingham Heart Study's (FHS) Offspring Cohort. We then sought to validate our top 4 genetic findings using data from the Rotterdam Study, the BPROOF Study, the Malta Osteoporosis Fracture Study (MOFS), and the Hertfordshire Cohort Study. METHODS We used sex-stratified linear mixed models to determine SNVs that had a significant interaction effect with BB use on femoral neck (FN) BMD across 11 gene regions. We also evaluated the association of our top SNVs from the FHS with microRNA (miRNA) expression in blood and identified potential miRNA-mediated mechanisms by which these SNVs may affect FN BMD. RESULTS One variation (rs11124190 in HDAC4) was validated in females using data from the Rotterdam Study, while another (rs12414657 in ADRB1) was validated in females using data from the MOFS. We performed an exploratory meta-analysis of all 5 studies for these variations, which further validated our findings. CONCLUSION This analysis provides a starting point for investigating the pharmacogenomic effects of BB use on BMD measures.
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Affiliation(s)
- Kathleen T Nevola
- Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA
| | - Archana Nagarajan
- Graduate School of Biomedical Sciences, Tufts University, Boston, MA, 02111, USA
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME 04101, USA
| | - Alexandra C Hinton
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME 04101, USA
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam 3015 GD, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam 3015 GD, the Netherlands
| | - Melissa M Formosa
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida MSD 2080, Malta
- Centre for Molecular Medicine and Biobanking, MSD 2080, Malta
| | - Angela Xuereb-Anastasi
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida MSD 2080, Malta
- Centre for Molecular Medicine and Biobanking, MSD 2080, Malta
| | - Nathalie van der Velde
- Department of Internal Medicine, Geriatrics, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, 1105 AZ, the Netherlands
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam 3015 GD, the Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam 3015 GD, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam 3015 GD, the Netherlands
| | - Nicholas R Fuggle
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
| | - Leo D Westbury
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
- Victoria University of Wellington, Wellington, New Zealand
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Douglas P Kiel
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
- Hinda and Arthur Marcus Institute for Aging Research Hebrew SeniorLife, Boston, MA 02131, USA
| | - Katherine J Motyl
- Center for Molecular Medicine, Maine Medical Center Research Institute, Maine Medical Center, Scarborough, ME 04074, USA
| | - Christine W Lary
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME 04101, USA
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18
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Sinha R, Kachru D, Ricchetti RR, Singh-Rambiritch S, Muthukumar KM, Singaravel V, Irudayanathan C, Reddy-Sinha C, Junaid I, Sharma G, Francis-Lyon PA. Leveraging Genomic Associations in Precision Digital Care for Weight Loss: Cohort Study. J Med Internet Res 2021; 23:e25401. [PMID: 33849843 PMCID: PMC8173391 DOI: 10.2196/25401] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/18/2020] [Accepted: 04/11/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has highlighted the urgency of addressing an epidemic of obesity and associated inflammatory illnesses. Previous studies have demonstrated that interactions between single-nucleotide polymorphisms (SNPs) and lifestyle interventions such as food and exercise may vary metabolic outcomes, contributing to obesity. However, there is a paucity of research relating outcomes from digital therapeutics to the inclusion of genetic data in care interventions. OBJECTIVE This study aims to describe and model the weight loss of participants enrolled in a precision digital weight loss program informed by the machine learning analysis of their data, including genomic data. It was hypothesized that weight loss models would exhibit a better fit when incorporating genomic data versus demographic and engagement variables alone. METHODS A cohort of 393 participants enrolled in Digbi Health's personalized digital care program for 120 days was analyzed retrospectively. The care protocol used participant data to inform precision coaching by mobile app and personal coach. Linear regression models were fit of weight loss (pounds lost and percentage lost) as a function of demographic and behavioral engagement variables. Genomic-enhanced models were built by adding 197 SNPs from participant genomic data as predictors and refitted using Lasso regression on SNPs for variable selection. Success or failure logistic regression models were also fit with and without genomic data. RESULTS Overall, 72.0% (n=283) of the 393 participants in this cohort lost weight, whereas 17.3% (n=68) maintained stable weight. A total of 142 participants lost 5% bodyweight within 120 days. Models described the impact of demographic and clinical factors, behavioral engagement, and genomic risk on weight loss. Incorporating genomic predictors improved the mean squared error of weight loss models (pounds lost and percent) from 70 to 60 and 16 to 13, respectively. The logistic model improved the pseudo R2 value from 0.193 to 0.285. Gender, engagement, and specific SNPs were significantly associated with weight loss. SNPs within genes involved in metabolic pathways processing food and regulating fat storage were associated with weight loss in this cohort: rs17300539_G (insulin resistance and monounsaturated fat metabolism), rs2016520_C (BMI, waist circumference, and cholesterol metabolism), and rs4074995_A (calcium-potassium transport and serum calcium levels). The models described greater average weight loss for participants with more risk alleles. Notably, coaching for dietary modification was personalized to these genetic risks. CONCLUSIONS Including genomic information when modeling outcomes of a digital precision weight loss program greatly enhanced the model accuracy. Interpretable weight loss models indicated the efficacy of coaching informed by participants' genomic risk, accompanied by active engagement of participants in their own success. Although large-scale validation is needed, our study preliminarily supports precision dietary interventions for weight loss using genetic risk, with digitally delivered recommendations alongside health coaching to improve intervention efficacy.
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Affiliation(s)
| | - Dashyanng Kachru
- Digbi Health, Los Altos, CA, United States
- Health Informatics, University of San Francisco, San Francisco, CA, United States
| | | | | | | | | | | | | | | | | | - Patricia Alice Francis-Lyon
- Digbi Health, Los Altos, CA, United States
- Health Informatics, University of San Francisco, San Francisco, CA, United States
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19
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Stein R, Beuren T, Cela LR, Ferrari F. Farmacogenômica e Doença Cardiovascular: Onde Estamos e Para Onde Vamos. Arq Bras Cardiol 2020; 115:690-700. [PMID: 33111871 PMCID: PMC8386961 DOI: 10.36660/abc.20200151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 06/10/2020] [Indexed: 11/18/2022] Open
Abstract
A farmacogenômica (FGx) investiga a interação entre genes e medicamentos. Através da análise de regiões específicas do DNA, informações sobre o perfil de metabolização do paciente para um determinado fármaco podem ser descritas, assim como o perfil esperado de resposta ao tratamento. Objetivamente, esse tipo de teste pode ter impacto no tratamento de pacientes que não estão respondendo adequadamente a um determinado medicamento, seja pela ausência dos efeitos esperados ou em virtude do aparecimento de efeitos adversos. Neste cenário, o objetivo desta revisão é o de informar o cardiologista clínico sobre esta importante área do conhecimento e atualizá-lo sobre o tema, procurando preencher as lacunas no que diz respeito à relação custo-benefício da aplicação da FGx nas doenças cardiovasculares, além de fornecer informações para a implementação da terapia guiada pela FGx na prática clínica.
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20
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Thomas CD, Johnson JA. Pharmacogenetic factors affecting β-blocker metabolism and response. Expert Opin Drug Metab Toxicol 2020; 16:953-964. [PMID: 32726152 DOI: 10.1080/17425255.2020.1803279] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION β-blockers are among the most widely prescribed of all drugs, used for treatment of a large number of cardiovascular diseases. Herein we evaluate literature pertaining to pharmacogenetics of β-blocker therapy, provide insight into the robustness of the genetic associations, and determine the appropriateness for translating these genetic associations into clinical practice. AREAS COVERED A literature search was conducted using PubMed to collate evidence on associations between CYP2D6, ADRB1, ADRB2, and GRK5 genetic variation and drug-response outcomes in the presence of β-blocker exposure. Pharmacokinetic, pharmacodynamic, and clinical outcomes studies were included if genotype data and β-blocker exposure were documented. EXPERT OPINION Substantial data suggest that specific ADRB1 and GRK5 genotypes are associated with improved β-blocker efficacy and have potential for use to guide therapy decisions in the clinical setting. While the data do not justify ordering a CYP2D6 pharmacogenetic test, if CYP2D6 genotype is available in the electronic health record, there may be clinical utility for understanding dosing of β-blockers.
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Affiliation(s)
- Cameron D Thomas
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida , Gainesville, FL, USA
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida , Gainesville, FL, USA
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21
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Rysz J, Franczyk B, Rysz-Górzyńska M, Gluba-Brzózka A. Pharmacogenomics of Hypertension Treatment. Int J Mol Sci 2020; 21:ijms21134709. [PMID: 32630286 PMCID: PMC7369859 DOI: 10.3390/ijms21134709] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 06/21/2020] [Accepted: 06/26/2020] [Indexed: 12/12/2022] Open
Abstract
Hypertension is one of the strongest modifiable cardiovascular risk factors, affecting an increasing number of people worldwide. Apart from poor medication adherence, the low efficacy of some therapies could also be related to inter-individual genetic variability. Genetic studies of families revealed that heritability accounts for 30% to 50% of inter-individual variation in blood pressure (BP). Genetic factors not only affect blood pressure (BP) elevation but also contribute to inter-individual variability in response to antihypertensive treatment. This article reviews the recent pharmacogenomics literature concerning the key classes of antihypertensive drugs currently in use (i.e., diuretics, β-blockers, ACE inhibitors, ARB, and CCB). Due to the numerous studies on this topic and the sometimes-contradictory results within them, the presented data are limited to several selected SNPs that alter drug response. Genetic polymorphisms can influence drug responses through genes engaged in the pathogenesis of hypertension that are able to modify the effects of drugs, modifications in drug–gene mechanistic interactions, polymorphisms within drug-metabolizing enzymes, genes related to drug transporters, and genes participating in complex cascades and metabolic reactions. The results of numerous studies confirm that genotype-based antihypertension therapies are the most effective and may help to avoid the occurrence of major adverse events, as well as decrease the costs of treatment. However, the genetic heritability of drug response phenotypes seems to remain hidden in multigenic and multifactorial complex traits. Therefore, further studies are required to analyze all associations and formulate final genome-based treatment recommendations.
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Affiliation(s)
- Jacek Rysz
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, 90-549 Lodz, Poland; (J.R.); (B.F.)
| | - Beata Franczyk
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, 90-549 Lodz, Poland; (J.R.); (B.F.)
| | - Magdalena Rysz-Górzyńska
- Department of Ophthalmology and Visual Rehabilitation, Medical University of Lodz, 90-549 Lodz, Poland;
| | - Anna Gluba-Brzózka
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, 90-549 Lodz, Poland; (J.R.); (B.F.)
- Correspondence:
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22
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Van Driest SL, Sleeper LA, Gelb BD, Morris SA, Dietz HC, Forbus GA, Goldmuntz E, Hoskoppal A, James J, Lee TM, Levine JC, Li JS, Loeys BL, Markham LW, Meester JAN, Mital S, Mosley JD, Olson AK, Renard M, Shaffer CM, Sharkey A, Young L, Lacro RV, Roden DM. Variants in ADRB1 and CYP2C9: Association with Response to Atenolol and Losartan in Marfan Syndrome. J Pediatr 2020; 222:213-220.e5. [PMID: 32586526 PMCID: PMC7323908 DOI: 10.1016/j.jpeds.2020.03.064] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 03/03/2020] [Accepted: 03/31/2020] [Indexed: 12/26/2022]
Abstract
OBJECTIVE To test whether variants in ADRB1 and CYP2C9 genes identify subgroups of individuals with differential response to treatment for Marfan syndrome through analysis of data from a large, randomized trial. STUDY DESIGN In a subset of 250 white, non-Hispanic participants with Marfan syndrome in a prior randomized trial of atenolol vs losartan, the common variants rs1801252 and rs1801253 in ADRB1 and rs1799853 and rs1057910 in CYP2C9 were analyzed. The primary outcome was baseline-adjusted annual rate of change in the maximum aortic root diameter z-score over 3 years, assessed using mixed effects models. RESULTS Among 122 atenolol-assigned participants, the 70 with rs1801253 CC genotype had greater rate of improvement in aortic root z-score compared with 52 participants with CG or GG genotypes (Time × Genotype interaction P = .005, mean annual z-score change ± SE -0.20 ± 0.03 vs -0.09 ± 0.03). Among participants with the CC genotype in both treatment arms, those assigned to atenolol had greater rate of improvement compared with the 71 of the 121 assigned to losartan (interaction P = .002; -0.20 ± 0.02 vs -0.07 ± 0.02; P < .001). There were no differences in atenolol response by rs1801252 genotype or in losartan response by CYP2C9 metabolizer status. CONCLUSIONS In this exploratory study, ADRB1-rs1801253 was associated with atenolol response in children and young adults with Marfan syndrome. If these findings are confirmed in future studies, ADRB1 genotyping has the potential to guide therapy by identifying those who are likely to have greater therapeutic response to atenolol than losartan.
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Affiliation(s)
- Sara L. Van Driest
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA,Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lynn A. Sleeper
- Department of Cardiology, Boston Children’s Hospital; and Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute, Departments of Pediatrics and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Shaine A. Morris
- Division of Cardiology, Department of Pediatrics, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX, USA
| | - Harry C. Dietz
- Institute of Genetic Medicine, Johns Hopkins University School of Medicine and Howard Hughes Medical Institute, Baltimore, MD, USA
| | - Geoffrey A. Forbus
- Department of Pediatrics, Division of Pediatric Cardiology, Medical University of South Carolina, Charleston, SC, USA
| | - Elizabeth Goldmuntz
- Division of Cardiology, Children’s Hospital of Philadelphia, Department of Pediatrics University of Pennsylvania Perlman School of Medicine, Philadelphia, PA, USA
| | - Arvind Hoskoppal
- Departments of Pediatrics and Internal Medicine, University of Utah and Intermountain Healthcare, Salt Lake City, UT, USA
| | - Jeanne James
- Department of Pediatrics, Section of Cardiology, Medical College of Wisconsin and Children’s Hospital of Wisconsin, Milwaukee, WI, USA
| | - Teresa M. Lee
- Department of Pediatrics, Columbia University Medical Center, New York, NY, USA
| | - Jami C. Levine
- Department of Cardiology, Boston Children’s Hospital; and Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Jennifer S. Li
- Department of Pediatrics, Division of Cardiology, Duke University Medical Center, Durham, NC, USA
| | - Bart L. Loeys
- Center of Medical Genetics, Faculty of Medicine and Health Sciences, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - Larry W. Markham
- Department of Pediatrics, Division of Pediatric Cardiology, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Josephina A. N. Meester
- Center of Medical Genetics, Faculty of Medicine and Health Sciences, University of Antwerp and Antwerp University Hospital, Antwerp, Belgium
| | - Seema Mital
- Department of Pediatrics, Division of Cardiology, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Jonathan D. Mosley
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Aaron K. Olson
- Department of Pediatrics, Seattle Children’s Hospital, Seattle, WA, USA
| | - Marjolijn Renard
- Center for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Christian M. Shaffer
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Angela Sharkey
- Department of Pediatrics, Washington University, St. Louis, MO, USA
| | - Luciana Young
- Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital, Chicago, IL, USA
| | - Ronald V. Lacro
- Department of Cardiology, Boston Children’s Hospital; and Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Dan M. Roden
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA,Departments of Pharmacology and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
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Chera-Aree P, Tengtrakulcharoen P, Leetheeragul J, Sampaojarean U, Surasereewong S, Wataganara T. Clinical Experiences of Intravenous Hydralazine and Labetalol for Acute Treatment of Severe Hypertension in Pregnant Thai Women. J Clin Pharmacol 2020; 60:1662-1670. [PMID: 32598488 DOI: 10.1002/jcph.1685] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 06/04/2020] [Indexed: 12/28/2022]
Abstract
Response to acute treatment of severe hypertension during pregnancy in Asian women was not known. Labor and delivery checklists of Thai women treated with intravenous hydralazine or labetalol for systolic blood pressure (SBP) ≥ 160 or diastolic blood pressure (DBP) ≥ 110 mm Hg from January 2011 to December 2013 were reviewed as parts of an audit. Primary outcome was prompt achievement of SBP 140-150 and DBP 90-100 mm Hg after the first bolus. Secondary outcomes were medication-related undesired effects. The mean ± standard deviation age and prevalence of chronic hypertension in hydralazine (n = 62) versus labetalol (n = 64) groups were 32.5 ± 6 versus 29.9 ± 6.8 years and 50% versus 21.9%, respectively (P < .05). Magnesium sulfate was promptly administered on admission to every woman to prevent seizure. Targeted blood pressure was timely achieved in 41.9% and 67.2% of the hydralazine and labetalol groups, respectively (P < .05). Nonreassuring fetal heart rate occurred in 51.6% and 32.8% of the hydralazine and labetalol groups, respectively (P = .05). The prevalence of cesarean section and Apgar score < 7 were not significantly different (P > .05). Real-life clinical experiences suggested significant advantages of intravenous labetalol over hydralazine in pregnant women with severe hypertension.
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Affiliation(s)
- Pattraporn Chera-Aree
- Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Bangkok, Thailand
| | | | - Jarunee Leetheeragul
- Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Bangkok, Thailand
| | - Urai Sampaojarean
- Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Bangkok, Thailand
| | - Supitchaya Surasereewong
- Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Bangkok, Thailand
| | - Tuangsit Wataganara
- Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Bangkok, Thailand
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Oliveira-Paula GH, Pereira SC, Tanus-Santos JE, Lacchini R. Pharmacogenomics And Hypertension: Current Insights. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2019; 12:341-359. [PMID: 31819590 PMCID: PMC6878918 DOI: 10.2147/pgpm.s230201] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Accepted: 11/05/2019] [Indexed: 11/23/2022]
Abstract
Hypertension is a multifactorial disease that affects approximately one billion subjects worldwide and is a major risk factor associated with cardiovascular events, including coronary heart disease and cerebrovascular accidents. Therefore, adequate blood pressure control is important to prevent these events, reducing premature mortality and disability. However, only one third of patients have the effective control of blood pressure, despite several classes of antihypertensive drugs available. These disappointing outcomes may be at least in part explained by interpatient variability in drug response due to genetic polymorphisms. To address the effects of genetic polymorphisms on blood pressure responses to the antihypertensive drug classes, studies have applied candidate genes and genome wide approaches. More recently, a third approach that considers gene-gene interactions has also been applied in hypertension pharmacogenomics. In this article, we carried out a comprehensive review of recent findings on the pharmacogenomics of antihypertensive drugs, including diuretics, β-blockers, angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers, and calcium channel blockers. We also discuss the limitations and inconsistences that have been found in hypertension pharmacogenomics and the challenges to implement this valuable approach in clinical practice.
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Affiliation(s)
- Gustavo H Oliveira-Paula
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Albert Einstein College of Medicine, New York, NY, USA.,Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, SP, Brazil
| | - Sherliane C Pereira
- Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, SP, Brazil
| | - Jose E Tanus-Santos
- Department of Pharmacology, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, SP, Brazil
| | - Riccardo Lacchini
- Department of Psychiatric Nursing and Human Sciences, Ribeirao Preto College of Nursing, University of Sao Paulo, Ribeirao Preto, SP, Brazil
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25
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Snyder EM, Kelley EF, Sprissler R, Olson TP. The importance and challenges of developing a pharmacogenetics test for hypertension. Pharmacogenomics 2019; 20:563-566. [PMID: 31136254 DOI: 10.2217/pgs-2019-0056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
| | - Eli F Kelley
- School of Kinesiology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Ryan Sprissler
- Geneticure, Inc., Rochester, MN 55902, USA.,University of Arizona Genomics Core, Tucson, Arizona, AZ 85721 USA
| | - Thomas P Olson
- Geneticure, Inc., Rochester, MN 55902, USA.,Division of Cardiovascular Diseases, Mayo Clinic College of Medicine, Rochester, MN 55905, USA
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Kelley EF, Olson TP, Curry TB, Sprissler R, Snyder EM. The Effect of Genetically Guided Mathematical Prediction and the Blood Pressure Response to Pharmacotherapy in Hypertension Patients. Clin Med Insights Cardiol 2019; 13:1179546819845883. [PMID: 31105432 PMCID: PMC6501483 DOI: 10.1177/1179546819845883] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 04/03/2019] [Indexed: 01/13/2023] Open
Abstract
Purpose: The purpose of this study was to determine the effectiveness of a simple algorithm to mathematically predict a patients’ response to blood pressure (BP) therapy using functional genes in the 3 major organ systems involved in hypertension. Methods: Eighty-six patients with controlled hypertension completed 1 study visit consisting of a buccal swab collection, measurement of office BP, and a medical chart review for BP history. Genes in the analysis included 14 functional alleles in 11 genes. These genotypes were mathematically summed per organ system to determine whether a patient would likely respond to target therapy. Results: Patients recommended to and taking a diuretic had significantly higher rates of control (<120/<80) than patients recommended but not taking this drug class (0.2 ± 0.1 and 0.03 ± 0.03, respectively). Furthermore, there was a difference between patients genetically recommended and taking an angiotensin receptor blocker (ARB) vs patients recommended but not taking an ARB for the lowest diastolic blood pressure (DBP) and mean arterial pressure (MAP) recorded in the past 2 years (DBP = 66.2 ± 2.9 and 75.3 ± 1.7, MAP = 82.3 ± 2.8 and 89.3 ± 1.5, respectively). In addition, there was a nonsignificant trend for greater reductions in ΔSBP, ΔDBP, and ΔMAP in patients on recommended drug class for beta-blockers, diuretics, and angiotensin II receptor blockers vs patients not on these classes. Conclusion: The present study suggests that simple mathematical weighting of functional genotypes known to control BP may be ineffective in predicting control. This study demonstrates the need for a more complex, weighted, multigene algorithm to more accurately predict BP therapy response.
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Affiliation(s)
- Eli F Kelley
- School of Kinesiology, University of Minnesota, Minneapolis, MN, USA
| | - Thomas P Olson
- Geneticure, Inc, Rochester, MN, USA.,College of Medicine and Science, Mayo Clinic, Rochester, MN, USA
| | - Timothy B Curry
- Geneticure, Inc, Rochester, MN, USA.,College of Medicine and Science, Mayo Clinic, Rochester, MN, USA
| | - Ryan Sprissler
- Geneticure, Inc, Rochester, MN, USA.,Department of Genetics, University of Arizona Genomics Core, Tucson, AZ, USA
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Phelps PK, Kelley EF, Walla DM, Ross JK, Simmons JJ, Bulock EK, Ayres A, Akre MK, Sprissler R, Olson TP, Snyder EM. Relationship between a Weighted Multi-Gene Algorithm and Blood Pressure Control in Hypertension. J Clin Med 2019; 8:jcm8030289. [PMID: 30823438 PMCID: PMC6463118 DOI: 10.3390/jcm8030289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Revised: 02/16/2019] [Accepted: 02/25/2019] [Indexed: 01/01/2023] Open
Abstract
Hypertension (HTN) is a complex disease with interactions among multiple organ systems, including the heart, vasculature, and kidney with a strong heritable component. Despite the multifactorial nature of HTN, no clinical guidelines utilize a multi-gene approach to guide blood pressure (BP) therapy. Non-smokers with a family history of HTN were included in the analysis (n = 384; age = 61.0 ± 0.9, 11% non-white). A total of 17 functional genotypes were weighted according to the previous effect size in the literature and entered into an algorithm. Pharmacotherapy was ranked from 1–4 as most to least likely to respond based on the algorithmic assessment of individual patient’s genotypes. Three-years of data were assessed at six-month intervals for BP and medication history. There was no difference in BP at diagnosis between groups matching the top drug recommendation using the multi-gene weighted algorithm (n = 92) vs. those who did not match (n = 292). However, from diagnosis to nadir, patients who matched the primary recommendation had a significantly greater drop in BP when compared to patients who did not. Further, the difference between diagnosis to current 1-year average BP was lower in the group that matched the top recommendation. These data suggest an association between a weighted multi-gene algorithm on the BP response to pharmacotherapy.
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Affiliation(s)
- Pamela K Phelps
- Medical Center, University of Minnesota, Fairview, Minneapolis, MN 55455, USA.
| | - Eli F Kelley
- School of Kinesiology, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Danielle M Walla
- Medical Center, University of Minnesota, Fairview, Minneapolis, MN 55455, USA.
| | - Jennifer K Ross
- Medical Center, University of Minnesota, Fairview, Minneapolis, MN 55455, USA.
| | - Jerad J Simmons
- Medical Center, University of Minnesota, Fairview, Minneapolis, MN 55455, USA.
| | - Emma K Bulock
- Medical Center, University of Minnesota, Fairview, Minneapolis, MN 55455, USA.
| | - Audrie Ayres
- Medical Center, University of Minnesota, Fairview, Minneapolis, MN 55455, USA.
| | | | - Ryan Sprissler
- Geneticure, Inc., Rochester, MN 55902, USA.
- University of Arizona Genomics Core, University of Arizona, Tucson, AZ 85705, USA.
| | - Thomas P Olson
- Geneticure, Inc., Rochester, MN 55902, USA.
- College of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
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28
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Lam YWF. Principles of Pharmacogenomics. Pharmacogenomics 2019. [DOI: 10.1016/b978-0-12-812626-4.00001-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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30
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Singh DB. The Impact of Pharmacogenomics in Personalized Medicine. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2019; 171:369-394. [PMID: 31485703 DOI: 10.1007/10_2019_110] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Recent advances in Pharmacogenomics have made it possible to understand the reasons behind the different response of a drug. Discovery of genetic variants and its association with the varying response of drug provide the basis for recommending a drug and its dose to an individual patient. Genetic makeup-based prescription, design, and implementation of therapy not only improve the outcome of treatments but also reduce the risk of toxicity and other adverse effects. A better understanding of individual variations and their effect on drug response, metabolism excretion, and toxicity will replace the trial-and-error approach of treatment. Evidence of the clinical utility of pharmacogenetics testing is only available for a few medications, and FDA labels only require pharmacogenetics testing for a small number of drugs. Although there is a great promise, there are not many examples where Pharmacogenomics impacts clinical utility. Some genetic variants related to different diseases have been reported, and many have not been studied yet. The information related to the outcome of treatment with a particular drug and a genetic variant can be used to release a warning/label for the use of that drug. There are many limitations in the way of implementing the goal of personalized medicine. Future advances in the field of genomics, diagnosis approaches, data analysis, clinical decision-making, and sustainable business model for personalization of therapy can speed up the individualization of therapy based on genetic makeup.
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Affiliation(s)
- Dev Bukhsh Singh
- Department of Biotechnology, Institute of Biosciences and Biotechnology, Chhatrapati Shahu Ji Maharaj University, Kanpur, Uttar Pradesh, India.
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Costantino S, Libby P, Kishore R, Tardif JC, El-Osta A, Paneni F. Epigenetics and precision medicine in cardiovascular patients: from basic concepts to the clinical arena. Eur Heart J 2018; 39:4150-4158. [PMID: 29069341 PMCID: PMC6293269 DOI: 10.1093/eurheartj/ehx568] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 09/04/2017] [Accepted: 09/22/2017] [Indexed: 12/11/2022] Open
Abstract
Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide and also inflict major burdens on morbidity, quality of life, and societal costs. Considering that CVD preventive medications improve vascular outcomes in less than half of patients (often relative risk reductions range from 12% to 20% compared with placebo), precision medicine offers an attractive approach to refine the targeting of CVD medications to responsive individuals in a population and thus allocate resources more wisely and effectively. New tools furnished by advances in basic science and translational medicine could help achieve this goal. This approach could reach beyond the practitioners 'eyeball' assessment or venerable markers derived from the physical examination and standard laboratory evaluation. Advances in genetics have identified novel pathways and targets that operate in numerous diseases, paving the way for 'precision medicine'. Yet the inherited genome determines only part of an individual's risk profile. Indeed, standard genomic approaches do not take into account the world of regulation of gene expression by modifications of the 'epi'genome. Epigenetic modifications defined as 'heritable changes to the genome that do not involve changes in DNA sequence' have emerged as a new layer of biological regulation in CVD and could advance individualized risk assessment as well as devising and deploying tailored therapies. This review, therefore, aims to acquaint the cardiovascular community with the rapidly advancing and evolving field of epigenetics and its implications in cardiovascular precision medicine.
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Affiliation(s)
- Sarah Costantino
- Center for Molecular Cardiology, University of Zürich, Wagistrasse 12, Schlieren, Zurich, Switzerland
| | - Peter Libby
- Brigham and Women’s Hospital, Division of Cardiovascular Medicine, Boston, MA, USA
| | - Raj Kishore
- Center for Translational Medicine, Lewis Katz School of Medicine, Temple University, MERB-953, 3500 N Broad Street, Philadelphia, PA, USA
- Department of Pharmacology, Temple University, Philadelphia, PA, USA
| | - Jean-Claude Tardif
- Montreal Health Innovations Coordinating Center (MHICC), Montreal, Canada
- Montreal Heart Institute, Université de Montréal, Montreal, Canada
| | - Assam El-Osta
- Central Clinical School, Faculty of Medicine, Monash University, Victoria, Australia
- Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia
- Hong Kong Institute of Diabetes and Obesity, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR
| | - Francesco Paneni
- Center for Molecular Cardiology, University of Zürich, Wagistrasse 12, Schlieren, Zurich, Switzerland
- University Heart Center, Cardiology, University Hospital Zürich, Zürich, Switzerland
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De T, Park CS, Perera MA. Cardiovascular Pharmacogenomics: Does It Matter If You're Black or White? Annu Rev Pharmacol Toxicol 2018; 59:577-603. [PMID: 30296897 DOI: 10.1146/annurev-pharmtox-010818-021154] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Race and ancestry have long been associated with differential risk and outcomes to disease as well as responses to medications. These differences in drug response are multifactorial with some portion associated with genomic variation. The field of pharmacogenomics aims to predict drug response in patients prior to medication administration and to uncover the biological underpinnings of drug response. The field of human genetics has long recognized that genetic variation differs in frequency between ancestral populations, with some single nucleotide polymorphisms found solely in one population. Thus far, most pharmacogenomic studies have focused on individuals of European and East Asian ancestry, resulting in a substantial disparity in the clinical utility of genetic prediction for drug response in US minority populations. In this review, we discuss the genetic factors that underlie variability to drug response and known pharmacogenomic associations and how these differ between populations, with an emphasis on the current knowledge in cardiovascular pharmacogenomics.
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Affiliation(s)
- Tanima De
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA;
| | - C Sehwan Park
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA;
| | - Minoli A Perera
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA;
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Dong OM. Excessive dietary sodium intake and elevated blood pressure: a review of current prevention and management strategies and the emerging role of pharmaconutrigenetics. BMJ Nutr Prev Health 2018; 1:7-16. [PMID: 33235949 PMCID: PMC7678480 DOI: 10.1136/bmjnph-2018-000004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 08/01/2018] [Accepted: 08/02/2018] [Indexed: 12/25/2022] Open
Affiliation(s)
- Olivia M Dong
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Galavi H, Noorzehi N, Saravani R, Sargazi S, Mollashahee-Kohkan F, Shahraki H. Genetic polymorphism in ADRB-1 is associated with type 2 diabetes susceptibility in Iranian population. GENE REPORTS 2018. [DOI: 10.1016/j.genrep.2018.06.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Kaye AD, Mahakian T, Kaye AJ, Pham AA, Hart BM, Gennuso S, Cornett EM, Gabriel RA, Urman RD. Pharmacogenomics, precision medicine, and implications for anesthesia care. Best Pract Res Clin Anaesthesiol 2018; 32:61-81. [DOI: 10.1016/j.bpa.2018.07.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 07/30/2018] [Indexed: 01/28/2023]
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Associations of polymorphisms of CYP2D6 and CYP2C9 with early onset severe pre-eclampsia and response to labetalol therapy. Arch Gynecol Obstet 2018; 298:125-132. [PMID: 29789925 DOI: 10.1007/s00404-018-4791-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Accepted: 05/16/2018] [Indexed: 12/11/2022]
Abstract
PURPOSE Early onset preeclampsia (PPE) contributes to life-threatening maternal complications and fetal demise. Pharmacogenomics is a precision medicine, and metabolizing enzymes responsive to antihypertensive remains understudied. The aim of this study was to evaluate the associations of polymorphisms of cytochrome P450, family 2, subfamily D, polypeptide 6 (CYP2D6) and cytochrome P450, family 2, subfamily C, polypeptide 9 (CYP2C9) with PPE and the relationship among CYP2D6, CYP2C9 polymorphisms and response to labetalol therapy. METHODS Totally 105 gravidas diagnosed with PPE (case) and 103 healthy gravidas (control) were recruited between August 2013 and July 2016. Labetalol was given to control blood pressures (BP) with PPE. If labetalol administration alone did not exceed the mean dose and effectively controlled the BP, it would be considered to be valid (n = 75). Genotype and allele frequencies of CYP2C9 gene (rs1057910 and rs4918758) and CYP2D6 gene (rs1065852, rs28371725, rs35742686, and rs3892097) were analyzed by TaqMan PCR. Differences in the genotype and allele frequencies were compared between case-control groups, and the responsive and nonresponsive to labetalol in PPE. RESULTS Out of six variants, only CC and CT genotypes of the CYP2D6 variants (rs28371725) in PPE were significantly higher than those in the control group [18.1% (19/105) vs 14.6% (15/103); 56.2% (59/105) vs 42.7% (44/103); χ2 = 6.707]. However, there were no differences in maternal age, diastolic pressure, BMI, BW, serum triglyceride, and creatinine were observed among women with CC, CT, or TT genotype of CYP2D6 gene rs28371725 in the experimental group (all P > 0.05). Compared with the gravidas with CT or TT genotype of CYP2D6 gene rs28371725, those with CC genotype had longer gestational age [(32.5 ± 2.1) vs (29.5 ± 1.8) and (29.8 ± 2.2) weeks] and higher plasma albumin [(27.2 ± 9.3) vs (20.3 ± 10.4) and (22.5 ± 7.4) g/L], but lower systolic pressure and 24 h urine protein (LSD test, all P < 0.05). The G allele frequency in CYP2D6 gene rs1065852 nonresponsive to labetalol group was higher than that in responsive labetalol group [93.3% (56/60) vs 76.0% (114/150), χ2 = 8.351, P = 0.004]. CONCLUSIONS The polymorphism of CYP2D6 gene rs28371725 may be associated with PPE, and the allele of G in CYP2D6 gene rs1065852 may be associated with the efficacy of labetalol in treatment of PPE.
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Oliveros E, Marinescu K, Suboc T, Williams KA. Hypertension Management for the Prevention of Heart Failure: Best Strategies. CURRENT CARDIOVASCULAR RISK REPORTS 2018. [DOI: 10.1007/s12170-018-0573-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Shahin MH, Conrado DJ, Gonzalez D, Gong Y, Lobmeyer MT, Beitelshees AL, Boerwinkle E, Gums JG, Chapman A, Turner ST, Cooper-DeHoff RM, Johnson JA. Genome-Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to β-Blockers. J Am Heart Assoc 2018; 7:JAHA.117.006463. [PMID: 29478026 PMCID: PMC5866313 DOI: 10.1161/jaha.117.006463] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background For many indications, the negative chronotropic effect of β‐blockers is important to their efficacy, yet the heart rate (HR) response to β‐blockers varies. Herein, we sought to use a genome‐wide association approach to identify novel single nucleotide polymorphisms (SNPs) associated with HR response to β‐blockers. Methods and Results We first performed 4 genome‐wide association analyses for HR response to atenolol (a β1‐adrenergic receptor blocker) as: (1) monotherapy or (2) add‐on therapy, in 426 whites and 273 blacks separately from the PEAR (Pharmacogenomic Evaluation of Antihypertensive Responses) study. A meta‐analysis was then performed between the genome‐wide association analysis performed in PEAR atenolol monotherapy and add‐on therapy, in each race separately, using the inverse variance method assuming fixed effects. From this analysis, SNPs associated with HR response to atenolol at a P<1E‐05 were tested for replication in whites (n=200) and blacks (n=168) treated with metoprolol (a β1‐adrenergic receptor blocker). From the genome‐wide association meta‐analyses, SNP rs17117817 near olfactory receptor family10 subfamily‐p‐member1 (OR10P1), and SNP rs2364349 in sorting nexin‐9 (SNX9) replicated in blacks. The combined studies meta‐analysis P values for the rs17117817 and rs2364349 reached genome‐wide significance (rs17117817G‐allele; Meta‐β=5.53 beats per minute, Meta‐P=2E‐09 and rs2364349 A‐allele; Meta‐β=3.5 beats per minute, Meta‐P=1E‐08). Additionally, SNPs in the OR10P1 and SNX9 gene regions were also associated with HR response in whites. Conclusions This study highlights OR10P1 and SNX9 as novel genes associated with changes in HR in response to β‐blockers. Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT00246519.
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Affiliation(s)
- Mohamed H Shahin
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL
| | - Daniela J Conrado
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL
| | - Daniel Gonzalez
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy University of North Carolina, Chapel Hill, NC
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL
| | - Maximilian T Lobmeyer
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL
| | | | - Eric Boerwinkle
- Human Genetics Center and Institute of Molecular Medicine, University of Texas Health Science Center, Houston, TX
| | - John G Gums
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL
| | | | - Stephen T Turner
- Division of Nephrology and Hypertension, Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL
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Eadon MT, Kanuri SH, Chapman AB. Pharmacogenomic studies of hypertension: paving the way for personalized antihypertensive treatment. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2018; 3:33-47. [PMID: 29888336 DOI: 10.1080/23808993.2018.1420419] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Introduction Increasing clinical evidence supports the implementation of genotyping for anti-hypertensive drug dosing and selection. Despite robust evidence gleaned from clinical trials, the translation of genotype guided therapy into clinical practice faces significant challenges. Challenges to implementation include the small effect size of individual variants and the polygenetic nature of antihypertensive drug response, a lack of expert consensus on dosing guidelines even without genetic information, and proper definition of major antihypertensive drug toxicities. Balancing clinical benefit with cost, while overcoming these challenges, remains crucial. Areas covered This review presents the most impactful clinical trials and cohorts which continue to inform and guide future investigation. Variants were selected from among those identified in the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR), the Genetic Epidemiology of Responses to Antihypertensives study (GERA), the Genetics of Drug Responsiveness in Essential Hypertension (GENRES) study, the SOPHIA study, the Milan Hypertension Pharmacogenomics of hydro-chlorothiazide (MIHYPHCTZ), the Campania Salute Network, the International Verapamil SR Trandolapril Study (INVEST), the Nordic Diltiazem (NORDIL) Study, GenHAT, and others. Expert Commentary The polygenic nature of antihypertensive drug response is a major barrier to clinical implementation. Further studies examining clinical effectiveness are required to support broad-based implementation of genotype-based prescribing in medical practice.
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Affiliation(s)
- Michael T Eadon
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sri H Kanuri
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
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Personalized medicine-a modern approach for the diagnosis and management of hypertension. Clin Sci (Lond) 2017; 131:2671-2685. [PMID: 29109301 PMCID: PMC5736921 DOI: 10.1042/cs20160407] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2017] [Revised: 09/22/2017] [Accepted: 09/25/2017] [Indexed: 12/15/2022]
Abstract
The main goal of treating hypertension is to reduce blood pressure to physiological levels and thereby prevent risk of cardiovascular disease and hypertension-associated target organ damage. Despite reductions in major risk factors and the availability of a plethora of effective antihypertensive drugs, the control of blood pressure to target values is still poor due to multiple factors including apparent drug resistance and lack of adherence. An explanation for this problem is related to the current reductionist and ‘trial-and-error’ approach in the management of hypertension, as we may oversimplify the complex nature of the disease and not pay enough attention to the heterogeneity of the pathophysiology and clinical presentation of the disorder. Taking into account specific risk factors, genetic phenotype, pharmacokinetic characteristics, and other particular features unique to each patient, would allow a personalized approach to managing the disease. Personalized medicine therefore represents the tailoring of medical approach and treatment to the individual characteristics of each patient and is expected to become the paradigm of future healthcare. The advancement of systems biology research and the rapid development of high-throughput technologies, as well as the characterization of different –omics, have contributed to a shift in modern biological and medical research from traditional hypothesis-driven designs toward data-driven studies and have facilitated the evolution of personalized or precision medicine for chronic diseases such as hypertension.
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Pasternak AL, Ward KM, Luzum JA, Ellingrod VL, Hertz DL. Germline genetic variants with implications for disease risk and therapeutic outcomes. Physiol Genomics 2017; 49:567-581. [PMID: 28887371 PMCID: PMC5668651 DOI: 10.1152/physiolgenomics.00035.2017] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Genetic testing has multiple clinical applications including disease risk assessment, diagnosis, and pharmacogenomics. Pharmacogenomics can be utilized to predict whether a pharmacologic therapy will be effective or to identify patients at risk for treatment-related toxicity. Although genetic tests are typically ordered for a distinct clinical purpose, the genetic variants that are found may have additional implications for either disease or pharmacology. This review will address multiple examples of germline genetic variants that are informative for both disease and pharmacogenomics. The discussed relationships are diverse. Some of the agents are targeted for the disease-causing genetic variant, while others, although not targeted therapies, have implications for the disease they are used to treat. It is also possible that the disease implications of a genetic variant are unrelated to the pharmacogenomic implications. Some of these examples are considered clinically actionable pharmacogenes, with evidence-based, pharmacologic treatment recommendations, while others are still investigative as areas for additional research. It is important that clinicians are aware of both the disease and pharmacogenomic associations of these germline genetic variants to ensure patients are receiving comprehensive personalized care.
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Affiliation(s)
- Amy L Pasternak
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan
| | - Kristen M Ward
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan
| | - Jasmine A Luzum
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan
| | - Vicki L Ellingrod
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan
| | - Daniel L Hertz
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan
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Postural hand tremor and incident hypertension in young to middle-aged adults: the Bogalusa heart study. J Hypertens 2017; 34:1273-8. [PMID: 27136316 DOI: 10.1097/hjh.0000000000000963] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Hand tremor and blood pressure (BP) are both increased by adrenergic stimulation and reduced by β-blockade, indicating that they may share a common underlying pathophysiology. METHODS We prospectively examined the relationship between postural hand tremor and incident hypertension in a community-based cohort of 715 (184 blacks and 531 whites) adults without hypertension and not using medications to control tremor (e.g. β-blockers). At baseline, tremor was measured with participants holding a laser pointer aimed at a sheet of Polaroid film 8 feet away with arm outstretched for 8 s in a darkened room, and characterized by the width of the circle diameter encompassing all exposures and enumeration of exposure dots in the same area. Incident hypertension was defined as new elevation of BP (SBP ≥ 140 or DBP ≥ 90 mmHg, based on an average of six readings over two visits) or antihypertensive medication use. RESULTS During a median follow-up of 6.4 years, 198 (69 blacks and 129 whites) participants developed hypertension. Tremor measurements (by quartile) were positively associated with incident hypertension after adjustment for baseline demographics, lifestyle characteristics, and BP. There was significant interaction by race (P = 0.01). Among whites, tremor was positively associated with incident hypertension [hazard ratio highest vs. lowest quartile: 2.50 (95% confidence interval: 1.40-4.48) dot method and 3.24 (1.78-5.90) circular method; both P trend <0.01]. Among blacks, tremor was not associated with hypertension. CONCLUSION In this community-based cohort, postural hand tremor was strongly associated with the risk of incident hypertension among whites and merits further study as a potential indicator of risk for hypertension.
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Berinstein E, Levy A. Recent developments and future directions for the use of pharmacogenomics in cardiovascular disease treatments. Expert Opin Drug Metab Toxicol 2017; 13:973-983. [PMID: 28792790 DOI: 10.1080/17425255.2017.1363887] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Cardiovascular disease is still the leading cause of death worldwide. There are many environmental and genetic factors that play a role in the development of cardiovascular disease. The treatment of cardiovascular disease is beginning to move in the direction of personalized medicine by using biomarkers from the patient's genome to design more effective treatment plans. Pharmacogenomics have already uncovered many links between genetic variation and response of many different drugs. Areas covered: This article will focus on the main polymorphisms that impact the risk of adverse effects and response efficacy of statins, clopidogrel, aspirin, β-blockers, warfarin dalcetrapib and vitamin E. The genes discussed include SLCO1B1, ABCB1, CYP3A4, CYP3A5, CYP2C19, PTGS1, PTGS2, ADRB1, ADCY9, CYP2C19, PON1, CES1, PEAR1, GPIIIa, CYP2D6, CKORC1, CYP2C9 and Hp. Expert opinion: Although there are some convincing results that have already been incorporated in the labelling treatment guidelines, most gene-drug relationships have been inconsistent. A better understanding of the relationships between genetic factors and drug response will provide more opportunities for personalized diagnosis and treatment of cardiovascular disease.
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Affiliation(s)
- Elliot Berinstein
- a Technion Faculty of Medicine , Technion Israel Institute of Technology , Haifa , Israel
| | - Andrew Levy
- a Technion Faculty of Medicine , Technion Israel Institute of Technology , Haifa , Israel
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Giudicessi JR, Kullo IJ, Ackerman MJ. Precision Cardiovascular Medicine: State of Genetic Testing. Mayo Clin Proc 2017; 92:642-662. [PMID: 28385198 PMCID: PMC6364981 DOI: 10.1016/j.mayocp.2017.01.015] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Revised: 12/23/2016] [Accepted: 01/30/2017] [Indexed: 01/11/2023]
Abstract
In the 15 years following the release of the first complete human genome sequences, our understanding of rare and common genetic variation as determinants of cardiovascular disease susceptibility, prognosis, and therapeutic response has grown exponentially. As such, the use of genomics to enhance the care of patients with cardiovascular diseases has garnered increased attention from clinicians, researchers, and regulatory agencies eager to realize the promise of precision genomic medicine. However, owing to a large burden of "complex" common diseases, emphasis on evidence-based practice, and a degree of unfamiliarity/discomfort with the language of genomic medicine, the development and implementation of genomics-guided approaches designed to further individualize the clinical management of a variety of cardiovascular disorders remains a challenge. In this review, we detail a practical approach to genetic testing initiation and interpretation as well as review the current state of cardiovascular genetic and pharmacogenomic testing in the context of relevant society and regulatory agency recommendations/guidelines.
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Affiliation(s)
- John R Giudicessi
- Department of Internal Medicine, Internal Medicine Residency Program, Clinician-Investigator Training Program, Mayo Clinic, Rochester, MN
| | - Iftikhar J Kullo
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN; Gonda Vascular Center, Mayo Clinic, Rochester, MN.
| | - Michael J Ackerman
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN; Division of Heart Rhythm Services, Mayo Clinic, Rochester, MN; Department of Pediatric and Adolescent Medicine, Division of Pediatric Cardiology, Mayo Clinic, Rochester, MN; Department of Molecular Pharmacology and Experimental Therapeutics, Windland Smith Rice Sudden Death Genomics Laboratory, Mayo Clinic, Rochester, MN.
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Abstract
The heritability of hypertension (HTN) is widely recognized and as a result, extensive studies ranging from genetic linkage analyses to genome-wide association studies are actively ongoing to elucidate the etiology of both monogenic and polygenic forms of HTN. Due to the complex nature of essential HTN, however, single genes affecting blood pressure (BP) variability remain difficult to isolate and identify and have rendered the development of single-gene targeted therapies challenging. The roles of other causative factors in modulating BP, such as gene-environment interactions and epigenetic factors, are increasingly being brought to the forefront. In this review, we discuss the various monogenic HTN syndromes and corresponding pathophysiologic mechanisms, the different methodologies employed in genetic studies of essential HTN, the mechanisms for epigenetic modulation of essential HTN, pharmacogenomics and HTN, and finally, recent advances in genetic studies of essential HTN in the pediatric population.
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Affiliation(s)
- Sun-Young Ahn
- Department of Nephrology, Children's National Health System, Washington, DC, United States.,The George Washington University School of Medicine, Washington, DC, United States
| | - Charu Gupta
- Department of Nephrology, Children's National Health System, Washington, DC, United States.,The George Washington University School of Medicine, Washington, DC, United States
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Fini ME, Schwartz SG, Gao X, Jeong S, Patel N, Itakura T, Price MO, Price FW, Varma R, Stamer WD. Steroid-induced ocular hypertension/glaucoma: Focus on pharmacogenomics and implications for precision medicine. Prog Retin Eye Res 2017; 56:58-83. [PMID: 27666015 PMCID: PMC5237612 DOI: 10.1016/j.preteyeres.2016.09.003] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2016] [Revised: 09/17/2016] [Accepted: 09/19/2016] [Indexed: 02/06/2023]
Abstract
Elevation of intraocular pressure (IOP) due to therapeutic use of glucocorticoids is called steroid-induced ocular hypertension (SIOH); this can lead to steroid-induced glaucoma (SIG). Glucocorticoids initiate signaling cascades ultimately affecting expression of hundreds of genes; this provides the potential for a highly personalized pharmacological response. Studies attempting to define genetic risk factors were undertaken early in the history of glucocorticoid use, however scientific tools available at that time were limited and progress stalled. In contrast, significant advances were made over the ensuing years in defining disease pathophysiology. As the genomics age emerged, it appeared the time was right to renew investigation into genetics. Pharmacogenomics is an unbiased discovery approach, not requiring an underlying hypothesis, and provides a way to pinpoint clinically significant genes and pathways that could not have been discovered any other way. Results of the first genome-wide association study to identify polymorphisms associated with SIOH, and follow-up on two novel genes linked to the disorder, GPR158 and HCG22, is discussed in the second half of the article. However, knowledge of genetic variants determining response to steroids in the eye also has value in its own right as a predictive and diagnostic tool. This article concludes with a discussion of how the Precision Medicine Initiative®, announced by U.S. President Obama in his 2015 State of the Union address, is beginning to touch the practice of ophthalmology. It is argued that SIOH/SIG may provide one of the next opportunities for effective application of precision medicine.
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Affiliation(s)
- M Elizabeth Fini
- USC Institute for Genetic Medicine and Department of Cell & Neurobiology, Keck School of Medicine of USC, University of Southern California, 2250 Alcatraz St., Suite 240, Los Angeles, CA, 90089, USA.
| | - Stephen G Schwartz
- Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, 3880 Tamiami Trail North, Naples, FL, 34103, USA.
| | - Xiaoyi Gao
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, 1905 W Taylor St., Suite 235, Chicago, IL, 60612, USA.
| | - Shinwu Jeong
- USC Institute for Genetic Medicine, USC Roski Eye Institute and Department of Ophthalmology, Keck School of Medicine of USC, University of Southern California, 2250 Alcatraz St., Suite 240, Los Angeles, CA, 90089, USA.
| | - Nitin Patel
- USC Institute for Genetic Medicine, Keck School of Medicine of USC, University of Southern California, 2250 Alcatraz St., Suite 240, Los Angeles, CA, 90089, USA.
| | - Tatsuo Itakura
- USC Institute for Genetic Medicine, Keck School of Medicine of USC, University of Southern California, 2250 Alcatraz St., Suite 240, Los Angeles, CA, 90089, USA.
| | - Marianne O Price
- Cornea Research Foundation of America, 9002 North Meridian Street, Indianapolis, IN, 46260, USA.
| | - Francis W Price
- Price Vision Group, 9002 North Meridian Street, Indianapolis, IN, 46260, USA.
| | - Rohit Varma
- Office of the Dean, USC Roski Eye Institute and Department of Ophthalmology, Keck School of Medicine of USC, University of Southern California, 1975 Zonal Ave., KAM 500, Los Angeles, CA, 90089, USA.
| | - W Daniel Stamer
- Department of Ophthalmology and Department of Biomedical Engineering, Duke University, AERI Room 4008, 2351 Erwin Rd, Durham, NC, 27705, USA.
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Zaiou M, El Amri H. Cardiovascular pharmacogenetics: a promise for genomically‐guided therapy and personalized medicine. Clin Genet 2016; 91:355-370. [DOI: 10.1111/cge.12881] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Revised: 09/30/2016] [Accepted: 10/03/2016] [Indexed: 12/28/2022]
Affiliation(s)
- M. Zaiou
- Faculté de PharmacieUniversité de Lorraine Nancy France
| | - H. El Amri
- Laboratoire de Génétique de la Gendarmerie RoyaleAvenue Ibn Sina Rabat Maroc
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Ben S, Cooper-DeHoff RM, Flaten HK, Evero O, Ferrara TM, Spritz RA, Monte AA. Multiplex SNaPshot-a new simple and efficient CYP2D6 and ADRB1 genotyping method. Hum Genomics 2016; 10:11. [PMID: 27108086 PMCID: PMC4842286 DOI: 10.1186/s40246-016-0073-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 04/12/2016] [Indexed: 12/15/2022] Open
Abstract
Background Reliable, inexpensive, high-throughput genotyping methods are required for clinical trials. Traditional assays require numerous enzyme digestions or are too expensive for large sample volumes. Our objective was to develop an inexpensive, efficient, and reliable assay for CYP2D6 and ADRB1 accounting for numerous polymorphisms including gene duplications. Materials and methods We utilized the multiplex SNaPshot® custom genotype method to genotype CYP2D6 and ADRB1. We compared the method to reference standards genotyped using the Taqman Copy Number Variant Assay followed by pyrosequencing quantification and determined assigned genotype concordance. Results We genotyped 119 subjects. Seven (5.9 %) were found to be CYP2D6 poor metabolizers (PMs), 18 (15.1 %) intermediate metabolizers (IMs), 89 (74.8 %) extensive metabolizers (EMs), and 5 (4.2 %) ultra-rapid metabolizers (UMs). We genotyped two variants in the β1-adrenoreceptor, rs1801253 (Gly389Arg) and rs1801252 (Ser49Gly). The Gly389Arg genotype is Gly/Gly 18 (15.1 %), Gly/Arg 58 (48.7 %), and Arg/Arg 43 (36.1 %). The Ser49Gly genotype is Ser/Ser 82 (68.9 %), Ser/Gly 32 (26.9), and Gly/Gly 5 (4.2 %). The multiplex SNaPshot method was concordant with genotypes in reference samples. Conclusions The multiplex SNaPshot method allows for specific and accurate detection of CYP2D6 genotypes and ADRB1 genotypes and haplotypes. This platform is simple and efficient and suited for high throughput.
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Affiliation(s)
- Songtao Ben
- Human Medical Genetics Program, University of Colorado, Aurora, CO, 80045, USA
| | - Rhonda M Cooper-DeHoff
- Center for Pharmacogenomics, College of Pharmacy, University of Florida, Gainesville, FL, 32610, USA
| | - Hanna K Flaten
- Department of Emergency Medicine, School of Medicine, University of Colorado, 12401 E. 17th Ave, B215, Aurora, CO, 80045, USA
| | - Oghenero Evero
- Department of Emergency Medicine, School of Medicine, University of Colorado, 12401 E. 17th Ave, B215, Aurora, CO, 80045, USA
| | - Tracey M Ferrara
- Human Medical Genetics Program, University of Colorado, Aurora, CO, 80045, USA
| | - Richard A Spritz
- Human Medical Genetics Program, University of Colorado, Aurora, CO, 80045, USA
| | - Andrew A Monte
- Department of Emergency Medicine, School of Medicine, University of Colorado, 12401 E. 17th Ave, B215, Aurora, CO, 80045, USA. .,Rocky Mountain Poison & Drug Center, Denver Health and Hospital Authority, Denver, CO, 80203, USA.
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Byrd JB. Personalized medicine and treatment approaches in hypertension: current perspectives. Integr Blood Press Control 2016; 9:59-67. [PMID: 27103841 PMCID: PMC4827884 DOI: 10.2147/ibpc.s74320] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
In the US, hypertension affects one in three adults. Current guideline-based treatment of hypertension involves little diagnostic testing. A more personalized approach to the treatment of hypertension might be of use. Several methods of personalized treatment have been proposed and vetted to varying degrees. The purpose of this narrative review is to discuss the rationale for personalized therapy in hypertension, barriers to its development and implementation, some influential examples of proposed personalization measures, and a view of future efforts.
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Affiliation(s)
- James Brian Byrd
- Division of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI, USA
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50
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Brozovich FV, Nicholson CJ, Degen CV, Gao YZ, Aggarwal M, Morgan KG. Mechanisms of Vascular Smooth Muscle Contraction and the Basis for Pharmacologic Treatment of Smooth Muscle Disorders. Pharmacol Rev 2016; 68:476-532. [PMID: 27037223 PMCID: PMC4819215 DOI: 10.1124/pr.115.010652] [Citation(s) in RCA: 291] [Impact Index Per Article: 36.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The smooth muscle cell directly drives the contraction of the vascular wall and hence regulates the size of the blood vessel lumen. We review here the current understanding of the molecular mechanisms by which agonists, therapeutics, and diseases regulate contractility of the vascular smooth muscle cell and we place this within the context of whole body function. We also discuss the implications for personalized medicine and highlight specific potential target molecules that may provide opportunities for the future development of new therapeutics to regulate vascular function.
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Affiliation(s)
- F V Brozovich
- Department of Health Sciences, Boston University, Boston, Massachusetts (C.J.N., Y.Z.G., M.A., K.G.M.); Department of Medicine, Mayo Clinic, Rochester, Minnesota (F.V.B.); and Paracelsus Medical University Salzburg, Salzburg, Austria (C.V.D.)
| | - C J Nicholson
- Department of Health Sciences, Boston University, Boston, Massachusetts (C.J.N., Y.Z.G., M.A., K.G.M.); Department of Medicine, Mayo Clinic, Rochester, Minnesota (F.V.B.); and Paracelsus Medical University Salzburg, Salzburg, Austria (C.V.D.)
| | - C V Degen
- Department of Health Sciences, Boston University, Boston, Massachusetts (C.J.N., Y.Z.G., M.A., K.G.M.); Department of Medicine, Mayo Clinic, Rochester, Minnesota (F.V.B.); and Paracelsus Medical University Salzburg, Salzburg, Austria (C.V.D.)
| | - Yuan Z Gao
- Department of Health Sciences, Boston University, Boston, Massachusetts (C.J.N., Y.Z.G., M.A., K.G.M.); Department of Medicine, Mayo Clinic, Rochester, Minnesota (F.V.B.); and Paracelsus Medical University Salzburg, Salzburg, Austria (C.V.D.)
| | - M Aggarwal
- Department of Health Sciences, Boston University, Boston, Massachusetts (C.J.N., Y.Z.G., M.A., K.G.M.); Department of Medicine, Mayo Clinic, Rochester, Minnesota (F.V.B.); and Paracelsus Medical University Salzburg, Salzburg, Austria (C.V.D.)
| | - K G Morgan
- Department of Health Sciences, Boston University, Boston, Massachusetts (C.J.N., Y.Z.G., M.A., K.G.M.); Department of Medicine, Mayo Clinic, Rochester, Minnesota (F.V.B.); and Paracelsus Medical University Salzburg, Salzburg, Austria (C.V.D.)
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