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Gallego-Fabrega C, Temprano-Sagrera G, Cárcel-Márquez J, Muiño E, Cullell N, Lledós M, Llucià-Carol L, Martin-Campos JM, Sobrino T, Castillo J, Millán M, Muñoz-Narbona L, López-Cancio E, Ribó M, Alvarez-Sabin J, Jiménez-Conde J, Roquer J, Tur S, Obach V, Arenillas JF, Segura T, Serrano-Heras G, Marti-Fabregas J, Freijo-Guerrero M, Moniche F, Castellanos MDM, Morrison AC, Smith NL, de Vries PS, Fernández-Cadenas I, Sabater-Lleal M. A multitrait genetic study of hemostatic factors and hemorrhagic transformation after stroke treatment. J Thromb Haemost 2024; 22:936-950. [PMID: 38103737 PMCID: PMC11103592 DOI: 10.1016/j.jtha.2023.11.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 11/08/2023] [Accepted: 11/27/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND Thrombolytic recombinant tissue plasminogen activator (r-tPA) treatment is the only pharmacologic intervention available in the ischemic stroke acute phase. This treatment is associated with an increased risk of intracerebral hemorrhages, known as hemorrhagic transformations (HTs), which worsen the patient's prognosis. OBJECTIVES To investigate the association between genetically determined natural hemostatic factors' levels and increased risk of HT after r-tPA treatment. METHODS Using data from genome-wide association studies on the risk of HT after r-tPA treatment and data on 7 hemostatic factors (factor [F]VII, FVIII, von Willebrand factor [VWF], FXI, fibrinogen, plasminogen activator inhibitor-1, and tissue plasminogen activator), we performed local and global genetic correlation estimation multitrait analyses and colocalization and 2-sample Mendelian randomization analyses between hemostatic factors and HT. RESULTS Local correlations identified a genomic region on chromosome 16 with shared covariance: fibrinogen-HT, P = 2.45 × 10-11. Multitrait analysis between fibrinogen-HT revealed 3 loci that simultaneously regulate circulating levels of fibrinogen and risk of HT: rs56026866 (PLXND1), P = 8.80 × 10-10; rs1421067 (CHD9), P = 1.81 × 10-14; and rs34780449, near ROBO1 gene, P = 1.64 × 10-8. Multitrait analysis between VWF-HT showed a novel common association regulating VWF and risk of HT after r-tPA at rs10942300 (ZNF366), P = 1.81 × 10-14. Mendelian randomization analysis did not find significant causal associations, although a nominal association was observed for FXI-HT (inverse-variance weighted estimate [SE], 0.07 [-0.29 to 0.00]; odds ratio, 0.87; 95% CI, 0.75-1.00; raw P = .05). CONCLUSION We identified 4 shared loci between hemostatic factors and HT after r-tPA treatment, suggesting common regulatory mechanisms between fibrinogen and VWF levels and HT. Further research to determine a possible mediating effect of fibrinogen on HT risk is needed.
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Affiliation(s)
- Cristina Gallego-Fabrega
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain. https://twitter.com/FabregaGallego
| | - Gerard Temprano-Sagrera
- Genomics of Complex Disease Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain
| | - Jara Cárcel-Márquez
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain
| | - Elena Muiño
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain
| | - Natalia Cullell
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain; Neurology Unit, Hospital Universitari MútuaTerrassa, Terrassa, Spain
| | - Miquel Lledós
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain
| | - Laia Llucià-Carol
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain
| | - Jesús M Martin-Campos
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain
| | - Tomás Sobrino
- Clinical Neurosciences Research Laboratories, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - José Castillo
- Department of Neurology, Hospital Clínico Universitario de Santiago (CHUS), Santiago de Compostela, Spain
| | - Mònica Millán
- Department of Neuroscience, Hospital Universitario Hermanos Trias y Pujol (HUGTP), Badalona, Spain
| | - Lucía Muñoz-Narbona
- Department of Neuroscience, Hospital Universitario Hermanos Trias y Pujol (HUGTP), Badalona, Spain
| | - Elena López-Cancio
- Stroke Unit, Neurology Department, Hospital Universitario Central de Asturias (HUCA), Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
| | - Marc Ribó
- Stroke Unit, Hospital Universitario Valle de Hebrón (HUVH), Barcelona, Spain
| | - Jose Alvarez-Sabin
- Department of Neurology, Hospital Universitario Valle de Hebrón (HUVH), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Jordi Jiménez-Conde
- Department of Neurology, Neurovascular Research Group, Instituto de investigaciones médicas Hospital del Mar (IMIM) Hospital del Mar, Barcelona, Spain
| | - Jaume Roquer
- Department of Neurology, Neurovascular Research Group, Instituto de investigaciones médicas Hospital del Mar (IMIM) Hospital del Mar, Barcelona, Spain
| | - Silvia Tur
- Department of Neurology, Hospital Universitario Son Espases (HUSE), Mallorca, Spain
| | - Victor Obach
- Department of Neurology, Hospital Clínic i Provincial de Barcelona, Barcelona, Spain
| | - Juan F Arenillas
- Department of Neurology, Hospital Clínico Universitario, University of Valladolid, Valladolid, Spain
| | - Tomas Segura
- Department of Neurology, Complejo Hospitalario Universitario de Albacete (CHUA), Universidad de Castilla-La Mancha (UCLM), Albacete, Spain
| | - Gemma Serrano-Heras
- Research Unit, Complejo Hospital Universitario de Albacete (CHUA), Albacete, Spain
| | - Joan Marti-Fabregas
- Department of Neurology, Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, Barcelona, Spain
| | | | - Francisco Moniche
- Department of Neurology, Hospital Universitario Virgen del Rocio, Instituto de Biomedicina de Sevilla (IBIS), Seville, Spain
| | - Maria Del Mar Castellanos
- Department of Neurology, Hospital Universitario de A Coruña (CHUAC), Biomedical Research Institute, A Coruña, Spain
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, the University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, Washington, USA; Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, USA; Department of Veterans Affairs Office of Research and Development, Seattle Epidemiologic Research and Information Center, Seattle, Washington, USA
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, the University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Israel Fernández-Cadenas
- Stroke Pharmacogenomics and Genetics Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain.
| | - Maria Sabater-Lleal
- Genomics of Complex Disease Group, Institut de Recerca Sant Pau (IR SANT PAU), Barcelona, Spain; Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
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Chekka LMS, Tantawy M, Langaee T, Wang D, Renne R, Chapman AB, Gums JG, Boerwinkle E, Cooper-DeHoff RM, Johnson JA. Circulating microRNA Biomarkers of Thiazide Response in Hypertension. J Am Heart Assoc 2024; 13:e032433. [PMID: 38353215 PMCID: PMC11010084 DOI: 10.1161/jaha.123.032433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/21/2023] [Indexed: 02/21/2024]
Abstract
BACKGROUND Thiazide diuretics are the second most frequently prescribed class of antihypertensives, but up to 50% of patients with hypertension have minimal antihypertensive response to thiazides. We explored circulating microRNAs (miRNAs) in search of predictive biomarkers of thiazide response. METHODS AND RESULTS We profiled 754 miRNAs in baseline plasma samples of 36 hypertensive European American adults treated with hydrochlorothiazide, categorized into responders (n=18) and nonresponders (n=18) on the basis of diastolic blood pressure response to hydrochlorothiazide. miRNAs with ≥2.5-fold differential expression between responders and nonresponders were considered for validation in 3 cohorts (n=50 each): hydrochlorothiazide-treated European Americans, chlorthalidone-treated European Americans, and hydrochlorothiazide-treated Black individuals. Different blood pressure phenotypes including categorical (responder versus nonresponder) and continuous diastolic blood pressure and systolic blood pressure were tested for association with the candidate miRNA expression using multivariate regression analyses adjusting for age, sex, and baseline blood pressure. After quality control, 74 miRNAs were available for screening, 19 of which were considered for validation. In the validation cohort, miR-193b-3p and 30d-5p showed significant associations with continuous SBP or diastolic blood pressure response or both, to hydrochlorothiazide in European Americans at Benjamini-Hochberg adjusted P<0.05. In the combined analysis of validation cohorts, let-7g (odds ratio, 0.6 [95% CI, 0.4-0.8]), miR-142-3p (odds ratio, 1.1 [95% CI, 1.0, 1.2]), and miR-423-5p (odds ratio, 0.7 [95% CI, 0.5-0.9]) associated with categorical diastolic blood pressure response at Benjamini-Hochberg adjusted P<0.05. Predicted target genes of the 5 miRNAs were mapped to key hypertension pathways: lysine degradation, fatty acid biosynthesis, and metabolism. CONCLUSIONS The above identified circulating miRNAs may have a potential for clinical use as biomarkers for thiazide diuretic selection in hypertension. REGISTRATION URL: ClinicalTrials.gov. Unique identifiers: NCT00246519, NCT01203852, NCT00005520.
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Affiliation(s)
- Lakshmi Manasa S Chekka
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine University of Florida Gainesville FL
| | - Marwa Tantawy
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine University of Florida Gainesville FL
| | - Taimour Langaee
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine University of Florida Gainesville FL
| | - Danxin Wang
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine University of Florida Gainesville FL
| | - Rolf Renne
- Department of Molecular Genetics and Microbiology, College of Medicine University of Florida Gainesville FL
| | | | - John G Gums
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine University of Florida Gainesville FL
| | - Eric Boerwinkle
- University of Texas at Houston Center for Human Genetics Houston TX
| | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine University of Florida Gainesville FL
- Division of Cardiovascular Medicine, Department of Medicine University of Florida Gainesville FL
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine University of Florida Gainesville FL
- Division of Cardiovascular Medicine, Department of Medicine University of Florida Gainesville FL
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The clinical impact of anti-hypertensive treatment drug-gene pairs in the asian population: a systematic review of publications in the past decade. J Hum Hypertens 2023; 37:170-180. [PMID: 36302845 DOI: 10.1038/s41371-022-00765-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 07/17/2022] [Accepted: 09/30/2022] [Indexed: 11/08/2022]
Abstract
Pharmacogenetics play an important role in determining the anti-hypertensive effects of blood pressure-lowering medications and have the potential to improve future patient care. Current literature on the topic, however, has a heavy focus on Caucasians and may not be generalisable to the Asian populations. Therefore, we have conducted this systematic review to summarise and evaluate the literature of the past decade. PubMed, Embase, and the Cochrane Register of Controlled Trials were searched for relevant studies from 1 January 2011 to 23 July 2021. The outcome of interest was the response to anti-hypertensive treatment in Asians according to each genetic polymorphism. A total of 26 studies with a total of 8837 patients were included in our review, covering five classes of anti-hypertensive agents-namely, angiotensin-converting enzyme inhibitors (ACEI), angiotensin II receptor blockers (ARB), beta-blockers (BB), calcium channel blockers (CCB), and thiazide-like diuretics. Response to ACEI therapy was most susceptible to genotypic variations, while the efficacy of ARB and CCB were affected by pharmacogenetic differences to varying extent. For BB, only variations in the ADRB1 genotype significantly affects therapeutic response, while the therapeutic efficacy of thiazide-like diuretics was correlated with genotypic variations in the REN and ACE. This systematic review evaluated the impact of pharmacogenetic variations on the therapeutic efficacy of anti-hypertensive treatment in Asians and has described numerous drug-gene pairs that are potentially clinically important. Future prospective studies with larger sample sizes and longer follow-up periods are needed to better elucidate the impact of these drug-gene pairs.
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Jung J, Kim H. Shared genetic etiology and antagonistic relationship of plasma renin activity and systolic blood pressure in a Korean cohorts. Genomics 2022; 114:110334. [PMID: 35278618 DOI: 10.1016/j.ygeno.2022.110334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 02/11/2022] [Accepted: 03/06/2022] [Indexed: 01/14/2023]
Abstract
Despite extensive studies on blood pressure, its genetic risk factors remain uncertain. Even one of the most researched blood pressure-related traits - renin - is not fully understood genetically. Here, we determine the genetic relationship and associated predisposition between blood pressure and baseline renin. In 8840 Korean individuals, we observed a strong negative genome-wide genetic correlation (rg = -0.484) between systolic blood pressure (SBP) and plasma renin activity (PRA), suggesting that antagonistic genetic signals explain the variance in the two traits. We found 51 significant pleiotropic SNPs affecting the two traits, which could contribute to the Renin-Angiotensin-Aldosterone System (RAAS). Our findings provide insight into studies on RAAS by identifying the genome-wide relationship and susceptibility loci of SBP and PRA.
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Affiliation(s)
- Jaehoon Jung
- Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 151-742, Republic of Korea; eGnome, 26 Beobwon-ro, Songpa-gu, Seoul 05836, Republic of Korea.
| | - Heebal Kim
- Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 151-742, Republic of Korea; eGnome, 26 Beobwon-ro, Songpa-gu, Seoul 05836, Republic of Korea; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Republic of Korea.
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Thorn CF, Whirl-Carrillo M, Hachad H, Johnson JA, McDonagh EM, Ratain MJ, Relling MV, Scott SA, Altman RB, Klein TE. Essential Characteristics of Pharmacogenomics Study Publications. Clin Pharmacol Ther 2019; 105:86-91. [PMID: 30406943 DOI: 10.1002/cpt.1279] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Accepted: 11/02/2018] [Indexed: 12/17/2022]
Abstract
Pharmacogenomics (PGx) can be seen as a model for biomedical studies: it includes all disease areas of interest and spans in vitro studies to clinical trials, while focusing on the relationships between genes and drugs and the resulting phenotypes. This review will examine different characteristics of PGx study publications and provide examples of excellence in framing PGx questions and reporting their resulting data in a way that maximizes the knowledge that can be built on them.
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Affiliation(s)
- Caroline F Thorn
- Department of Biomedical Data Sciences, Stanford University, Stanford, California, USA
| | | | - Houda Hachad
- Translational Software, Bellevue, Washington, USA
| | - Julie A Johnson
- College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | | | - Mark J Ratain
- Department of Medicine, The University of Chicago, Chicago, Illinois, USA
| | - Mary V Relling
- Pharmaceutical Department, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Stuart A Scott
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Sema4, a Mount Sinai Venture, Stamford, Connecticut, USA
| | - Russ B Altman
- Department of Genetics, Department of Computer Science, Department of Biomedical Engineering, Stanford University, Stanford, California, USA.,Department of Medicine, Stanford University, Stanford, California, USA
| | - Teri E Klein
- Department of Biomedical Data Sciences, Stanford University, Stanford, California, USA
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8
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Abstract
PURPOSE OF REVIEW The purpose of this review is to discuss the implications of personalized medicine for the treatment of hypertension, including resistant hypertension. RECENT FINDINGS We suggest a framework for the personalized treatment of hypertension based on the concept of a trade-off between simplicity and personalization. This framework is based on treatment strategies classified as low, medium, or high information burden personalization approaches. The extent to which a higher information burden is justified depends on the clinical scenario, particularly the ease with which the blood pressure can be controlled. A one-size-fits-many treatment strategy for hypertension is efficacious for most people; however, a more personalized approach could be useful in patients with subtypes of hypertension that do not respond as expected to treatment. Clinicians seeing patients with unusual hypertension phenotypes should be familiar with emerging trends in personalized treatment of hypertension.
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Affiliation(s)
- Sarah Melville
- CardioVascular Research New Brunswick, Saint John Regional Hospital, HHN, Saint John, Canada
- IMPART Investigator Team Canada, Saint John, New Brunswick, Canada
| | - James Brian Byrd
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan Medical School, 5570C MSRB II, 1150 West Medical Center Drive, SPC 5678, Ann Arbor, MI, 48109-5678, USA.
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