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Dagli-Hernandez C, Ferreira GM, Freitas RCCD, Borges JB, Oliveira VFD, Gonçalves RM, Faludi AA, Marçal EDSR, Bastos GM, Bortolin RH, Hirata MH, Hirata RDC. Predicted deleterious variants in ABCA1, LPL, LPA and KIF6 are associated with statin response and adverse events in patients with familial hypercholesterolemia and disturb protein structure and stability. Pharmacogenet Genomics 2024; 34:91-104. [PMID: 38682317 DOI: 10.1097/fpc.0000000000000524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
OBJECTIVES This study explored the association of deleterious variants in pharmacodynamics (PD) genes with statin response and adverse effects in patients with familial hypercholesterolemia (FH) and analyzed their potential effects on protein structure and stability. METHODS Clinical and laboratory data were obtained from 144 adult FH patients treated with statins. A panel of 32 PD genes was analyzed by exon-targeted gene sequencing. Deleterious variants were identified using prediction algorithms and their structural effects were analyzed by molecular modeling studies. RESULTS A total of 102 variants were predicted as deleterious (83 missense, 8 stop-gain, 4 frameshift, 1 indel, 6 splicing). The variants ABCA1 rs769705621 (indel), LPA rs41267807 (p.Tyr2023Cys) and KIF6 rs20455 (p.Trp719Arg) were associated with reduced low-density lipoprotein cholesterol (LDLc) response to statins, and the LPL rs1801177 (p.Asp36Asn) with increased LDLc response (P < 0.05). LPA rs3124784 (p.Arg2016Cys) was predicted to increase statin response (P = 0.022), and ABCA1 rs769705621 to increase the risk of statin-related adverse events (SRAE) (P = 0.027). LPA p.Arg2016Cys and LPL p.Asn36Asp maintained interactions with solvent, LPA p.Tyr2023Cys reduced intramolecular interaction with Gln1987, and KIF6 p.Trp719Arg did not affect intramolecular interactions. DDMut analysis showed that LPA p.Arg2016Cys and p.Tyr2023Cys and LPL p.Asp36Asn caused energetically favorable changes, and KIF6 p.Trp719Arg resulted in unfavorable energetic changes, affecting protein stability. CONCLUSION Deleterious variants in ABCA1, LPA, LPL and KIF6 are associated with variability in LDLc response to statins, and ABCA1 rs769705621 is associated with SRAE risk in FH patients. Molecular modeling studies suggest that LPA p.Tyr2023Cys and KIF6 p.Trp719Arg disturb protein conformational structure and stability.
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Affiliation(s)
- Carolina Dagli-Hernandez
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil
| | - Glaucio Monteiro Ferreira
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil
| | - Renata Caroline Costa de Freitas
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil
- Department of Cardiac Surgery, Boston Children's Hospital, Boston, Massachusetts, USA
| | | | - Victor Fernandes de Oliveira
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil
| | | | | | | | | | - Raul Hernandes Bortolin
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil
- Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Mario Hiroyuki Hirata
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil
| | - Rosario Dominguez Crespo Hirata
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo, Brazil
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Lusiki Z, Blom D, Soko ND, Malema S, Jones E, Rayner B, Blackburn J, Sinxadi P, Dandara MT, Dandara C. Major Genetic Drivers of Statin Treatment Response in African Populations and Pharmacogenetics of Dyslipidemia Through a One Health Lens. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2024; 28:261-279. [PMID: 37956269 DOI: 10.1089/omi.2023.0122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
A One Health lens is increasingly significant to address the intertwined challenges in planetary health concerned with the health of humans, nonhuman animals, plants, and ecosystems. A One Health approach can benefit the public health systems in Africa that are overburdened by noncommunicable, infectious, and environmental diseases. Notably, the COVID-19 pandemic revealed the previously overlooked two-fold importance of pharmacogenetics (PGx), for individually tailored treatment of noncommunicable diseases and environmental pathogens. For example, dyslipidemia, a common cardiometabolic risk factor, has been identified as an independent COVID-19 severity risk factor. Observational data suggest that patients with COVID-19 infection receiving lipid-lowering therapy may have better outcomes. However, among African patients, the response to these drugs varies from patient to patient, pointing to the possible contribution of genetic variation in important pharmacogenes. The PGx of lipid-lowering therapies may underlie differences in treatment responses observed among dyslipidemia patients as well as patients comorbid with COVID-19 and dyslipidemia. Genetic variations in APOE, ABCB1, CETP, CYP2C9, CYP3A4, CYP3A5, HMGCR, LDLR, NPC1L1, and SLCO1B1 genes affect the pharmacogenomics of statins, and they have individually been linked to differential responses to dyslipidemia and COVID-19 treatment. African populations are underrepresented in PGx research. This leads to poor accounting of additional diverse genetic variants that could be important in understanding interindividual and between-population variations in therapeutic responses to dyslipidemia and COVID-19. This expert review examines and synthesizes the salient and priority PGx variations, as seen through a One Health lens in Africa, to improve and inform personalized medicine in both dyslipidemia and COVID-19.
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Affiliation(s)
- Zizo Lusiki
- Division of Human Genetics, Department of Pathology, Institute of Infectious Diseases and Molecular Medicine (IDM), University of Cape Town, Cape Town, South Africa
- Platform for Pharmacogenomics Research and Translation (PREMED) Unit, South African Medical Research Council (SAMRC), Cape Town, South Africa
| | - Dirk Blom
- Platform for Pharmacogenomics Research and Translation (PREMED) Unit, South African Medical Research Council (SAMRC), Cape Town, South Africa
- Division of Lipidology and Cape Heart Institute, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Nyarai D Soko
- Division of Human Genetics, Department of Pathology, Institute of Infectious Diseases and Molecular Medicine (IDM), University of Cape Town, Cape Town, South Africa
- Platform for Pharmacogenomics Research and Translation (PREMED) Unit, South African Medical Research Council (SAMRC), Cape Town, South Africa
| | - Smangele Malema
- Platform for Pharmacogenomics Research and Translation (PREMED) Unit, South African Medical Research Council (SAMRC), Cape Town, South Africa
| | - Erika Jones
- Platform for Pharmacogenomics Research and Translation (PREMED) Unit, South African Medical Research Council (SAMRC), Cape Town, South Africa
- Division of Nephrology and Hypertension, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Brian Rayner
- Platform for Pharmacogenomics Research and Translation (PREMED) Unit, South African Medical Research Council (SAMRC), Cape Town, South Africa
- Division of Nephrology and Hypertension, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Jonathan Blackburn
- Division of Chemical and Systems Biology, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa
| | - Phumla Sinxadi
- Platform for Pharmacogenomics Research and Translation (PREMED) Unit, South African Medical Research Council (SAMRC), Cape Town, South Africa
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Michelle T Dandara
- Platform for Pharmacogenomics Research and Translation (PREMED) Unit, South African Medical Research Council (SAMRC), Cape Town, South Africa
| | - Collet Dandara
- Division of Human Genetics, Department of Pathology, Institute of Infectious Diseases and Molecular Medicine (IDM), University of Cape Town, Cape Town, South Africa
- Platform for Pharmacogenomics Research and Translation (PREMED) Unit, South African Medical Research Council (SAMRC), Cape Town, South Africa
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Čereškevičius D, Zabiela V, Aldujeli A, Lesauskaitė V, Zubielienė K, Raškevičius V, Čiapienė I, Žaliaduonytė D, Giedraitienė A, Žvikas V, Jakštas V, Skipskis V, Dobilienė O, Šakalytė G, Tatarūnas V. Impact of CYP2C19 Gene Variants on Long-Term Treatment with Atorvastatin in Patients with Acute Coronary Syndromes. Int J Mol Sci 2024; 25:5385. [PMID: 38791422 PMCID: PMC11120965 DOI: 10.3390/ijms25105385] [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: 04/04/2024] [Revised: 05/02/2024] [Accepted: 05/12/2024] [Indexed: 05/26/2024] Open
Abstract
The effectiveness of lipid-lowering therapies may be insufficient in high-risk cardiovascular patients and depends on the genetic variability of drug-metabolizing enzymes. Customizing statin therapy, including treatment with atorvastatin, may improve clinical outcomes. Currently, there is a lack of guidelines allowing the prediction of the therapeutic efficacy of lipid-lowering statin therapy. This study aimed to determine the effects of clinically significant gene variants of CYP2C19 on atorvastatin therapy in patients with acute coronary syndromes. In total, 92 patients with a confirmed diagnosis of ST-elevation myocardial infarction (STEMI) or non-ST-elevation myocardial infarction (NSTEMI) were sequenced for target regions within the CYP2C19 gene on the Illumina Miniseq system. The CYP2C19 poor metabolizer phenotype (carriers of CYP2C19*2, CYP2C19*4, and CYP2C19*8 alleles) was detected in 29% of patients. These patients had significantly lower responses to treatment with atorvastatin than patients with the normal metabolizer phenotype. CYP2C19-metabolizing phenotype, patient age, and smoking increased the odds of undertreatment in patients (∆LDL-C (mmol/L) < 1). These results revealed that the CYP2C19 phenotype may significantly impact atorvastatin therapy personalization in patients requiring LDL lipid-lowering therapy.
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Affiliation(s)
- Darius Čereškevičius
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, LT 50103 Kaunas, Lithuania; (D.Č.); (V.Z.); (A.A.); (V.L.); (V.R.); (I.Č.); (V.S.); (G.Š.)
| | - Vytautas Zabiela
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, LT 50103 Kaunas, Lithuania; (D.Č.); (V.Z.); (A.A.); (V.L.); (V.R.); (I.Č.); (V.S.); (G.Š.)
| | - Ali Aldujeli
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, LT 50103 Kaunas, Lithuania; (D.Č.); (V.Z.); (A.A.); (V.L.); (V.R.); (I.Č.); (V.S.); (G.Š.)
| | - Vaiva Lesauskaitė
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, LT 50103 Kaunas, Lithuania; (D.Č.); (V.Z.); (A.A.); (V.L.); (V.R.); (I.Č.); (V.S.); (G.Š.)
| | - Kristina Zubielienė
- Department of Cardiology, Kaunas Hospital of the Lithuanian University of Health Sciences, Hipodromo 13, LT 45130 Kaunas, Lithuania; (K.Z.); (D.Ž.)
| | - Vytautas Raškevičius
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, LT 50103 Kaunas, Lithuania; (D.Č.); (V.Z.); (A.A.); (V.L.); (V.R.); (I.Č.); (V.S.); (G.Š.)
| | - Ieva Čiapienė
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, LT 50103 Kaunas, Lithuania; (D.Č.); (V.Z.); (A.A.); (V.L.); (V.R.); (I.Č.); (V.S.); (G.Š.)
| | - Diana Žaliaduonytė
- Department of Cardiology, Kaunas Hospital of the Lithuanian University of Health Sciences, Hipodromo 13, LT 45130 Kaunas, Lithuania; (K.Z.); (D.Ž.)
| | - Agnė Giedraitienė
- Institute of Microbiology and Virology, Lithuanian University of Health Sciences, Eivenių 4, LT 50161 Kaunas, Lithuania;
| | - Vaidotas Žvikas
- Institute of Pharmaceutical Technologies, Sukileliu 13, LT 50103 Kaunas, Lithuania; (V.Ž.); (V.J.)
| | - Valdas Jakštas
- Institute of Pharmaceutical Technologies, Sukileliu 13, LT 50103 Kaunas, Lithuania; (V.Ž.); (V.J.)
| | - Vilius Skipskis
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, LT 50103 Kaunas, Lithuania; (D.Č.); (V.Z.); (A.A.); (V.L.); (V.R.); (I.Č.); (V.S.); (G.Š.)
| | - Olivija Dobilienė
- Department of Cardiology, Lithuanian University of Health Sciences, Eivenių 2, LT 50009 Kaunas, Lithuania;
| | - Gintarė Šakalytė
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, LT 50103 Kaunas, Lithuania; (D.Č.); (V.Z.); (A.A.); (V.L.); (V.R.); (I.Č.); (V.S.); (G.Š.)
| | - Vacis Tatarūnas
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, LT 50103 Kaunas, Lithuania; (D.Č.); (V.Z.); (A.A.); (V.L.); (V.R.); (I.Č.); (V.S.); (G.Š.)
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Li Y, Huang Q, Zeng X, Wang R, Li W. Population Pharmacokinetics of Atorvastatin in High-Altitude and Plain Patients with Hyperlipidemic. J Clin Pharmacol 2024; 64:345-352. [PMID: 37864509 DOI: 10.1002/jcph.2376] [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: 06/27/2023] [Accepted: 10/12/2023] [Indexed: 10/23/2023]
Abstract
The pharmacokinetic (PK) characteristics of drugs were altered under high-altitude hypoxia. We aim to describe the population PK of atorvastatin (ATV) to identify patient characteristics that are predictive of variability in the PK parameters of the ATV and investigate the effects of high-altitude hypoxia on the blood concentration of ATV in patients with hyperlipidemia. A total of 160 plasma concentrations were collected from 40 patients with hyperlipidemia in plateau areas and 40 in plain areas. The population pharmacokinetic model of patients with hyperlipidemia in plateau and plain areas of China was established by a nonlinear mixed-effects model. The PK of ATV were described by a 1-compartment model with first-order elimination. The main PK parameters of ATV were the first-order absorption rate (0.76 hour-1 fixed); clearance (174.22 L/h) and apparent volume of distribution (1119.62 L). The values of area and age were identified as significant covariates for the clearance, area, age, and urea for the volume of distribution. The steady-state peak concentration in the plateau area was higher than that in the plain area. This study may suggest dose reduction is necessary for patients with hyperlipidemia in high altitudes.
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Affiliation(s)
- Yu Li
- Department of Pharmacy, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou, China
- School of Pharmacy, Ningxia Medical University, Ningxia, China
| | - Qin Huang
- Department of Pharmacy, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou, China
| | - Xianghai Zeng
- Department of Pharmacy, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou, China
- School of Pharmacy, Ningxia Medical University, Ningxia, China
| | - Rong Wang
- Department of Pharmacy, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou, China
| | - Wenbin Li
- Department of Pharmacy, The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Lanzhou, China
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Yow HY, Hamzah S, Abdul Rahim N, Suppiah V. Pharmacogenomics of response to statin treatment and susceptibility to statin-induced adverse drug reactions in Asians: a scoping review. ASIAN BIOMED 2023; 17:95-114. [PMID: 37818163 PMCID: PMC10561688 DOI: 10.2478/abm-2023-0050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2023]
Abstract
Background Statins are the most widely used lipid-lowering agents for patients with hyperlipidemia. However, interindividual variations in efficacy and risk of adverse drug reactions to statin treatment have been widely reported. Ethnicity is well known to be one of the contributing factors to this variation, particularly among Asians. Objectives To identify genetic variants associated with statin treatment responses among Asian populations with a focus on four commonly prescribed statins: atorvastatin, rosuvastatin, simvastatin, and pravastatin. Methods A literature search was conducted in Medline and Embase databases. Studies published from 2008 to 2021 were included. The title and abstract of each article were screened by two reviewers and verified by another two reviewers. Data charted include information on authors, year of study, study population, statin studied, gene studied, study findings, and data of significant statistical value. Results A total of 35 articles were included from the 1,939 original studies related to treatment efficacy and 5 articles out of the 284 original studies related to adverse effects. Genetic variants in transmembrane transporters, cytochrome P450 isoenzymes, and apolipoproteins are the most extensively studied among Asian populations, with a main focus on ethnic Chinese. However, Asia consists of genetically different populations, and the results of this review indicated that there is a paucity of studies on other ethnic groups within Asia. Conclusions Considering the ethnicity of patients could provide a potential value to personalized medicine in statin therapy.
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Affiliation(s)
- Hui-Yin Yow
- Department of Pharmaceutical Life Sciences, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur50603, Malaysia
- School of Pharmacy, Faculty of Health and Medical Sciences, Taylor's University, Selangor47500, Malaysia
| | - Sharina Hamzah
- School of Pharmacy, Faculty of Health and Medical Sciences, Taylor's University, Selangor47500, Malaysia
- Medical Advancement for Better Quality of Life Impact Lab, Taylor's University, Selangor47500, Malaysia
| | - Nusaibah Abdul Rahim
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur50603, Malaysia
| | - Vijayaprakash Suppiah
- Clinical and Health Sciences, University of South Australia, Adelaide, SA5001, Australia
- Australian Centre for Precision Health, University of South Australia, Adelaide, SA5001, Australia
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Chekanova V, Abolhassani N, Vaucher J, Marques-Vidal P. Association of clinical and genetic risk factors with management of dyslipidaemia: analysis of repeated cross-sectional studies in the general population of Lausanne, Switzerland. BMJ Open 2023; 13:e065409. [PMID: 36810165 PMCID: PMC9945309 DOI: 10.1136/bmjopen-2022-065409] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
OBJECTIVES To assess the importance of clinical and genetic factors in management of dyslipidaemia in the general population. DESIGN Repeated cross-sectional studies (2003-2006; 2009-2012 and 2014-2017) from a population-based cohort. SETTING Single centre in Lausanne, Switzerland. PARTICIPANTS 617 (42.6% women, mean±SD: 61.6±8.5 years), 844 (48.5% women, 64.5±8.8 years) and 798 (50.3% women, 68.1±9.2) participants of the baseline, first and second follow-ups receiving any type of lipid-lowering drug. Participants were excluded if they had missing information regarding lipid levels, covariates or genetic data. PRIMARY AND SECONDARY OUTCOME MEASURES Management of dyslipidaemia was assessed according to European or Swiss guidelines. Genetic risk scores (GRSs) for lipid levels were computed based on the existing literature. RESULTS Prevalence of adequately controlled dyslipidaemia was 52%, 45% and 46% at baseline, first and second follow-ups, respectively. On multivariable analysis, when compared with intermediate or low-risk individuals, participants at very high cardiovascular risk had an OR for dyslipidaemia control of 0.11 (95% CI: 0.06 to 0.18), 0.12 (0.08 to 0.19) and 0.38 (0.25 to 0.59) at baseline, first and second follow-ups, respectively. Use of newer generation or higher potency statins was associated with better control: OR of 1.90 (1.18 to 3.05) and 3.62 (1.65 to 7.92) for second and third generations compared with first in the first follow-up, with the corresponding values in the second follow-up being 1.90 (1.08 to 3.36) and 2.18 (1.05 to 4.51). No differences in GRSs were found between controlled and inadequately controlled subjects. Similar findings were obtained using Swiss guidelines. CONCLUSION Management of dyslipidaemia is suboptimal in Switzerland. The effectiveness of high potency statins is hampered by low posology. The use of GRSs in the management of dyslipidaemia is not recommended.
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Affiliation(s)
- Valeriya Chekanova
- National Medical Research Center of Cardiology, Moscow, Russian Federation
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nazanin Abolhassani
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Institute of Primary Health Care, Bern, Switzerland
| | - Julien Vaucher
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Dai R, Zhao X, Zhuo H, Wang W, Xu Y, Hu Z, Zhang T, Zhao J. CYP2C19 metabolizer phenotypes may affect the efficacy of statins on lowering small dense low-density lipoprotein cholesterol of patients with coronary artery disease. Front Cardiovasc Med 2022; 9:1016126. [PMID: 36601065 PMCID: PMC9806256 DOI: 10.3389/fcvm.2022.1016126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 11/21/2022] [Indexed: 12/23/2022] Open
Abstract
Background Dyslipidemia is a major cause of arteriosclerotic cardiovascular disease (ASCVD), and low-density lipoprotein cholesterol (LDL-C) is the profile to be reduced to prevent disease progression. Small dense low-density lipoprotein cholesterol (sdLDL-C) has been proven to be a more effective biomarker than LDL-C for ASCVD primary and secondary prevention. CYP2C19 is an important drug metabolism gene. This study aimed to investigate the relationship between sdLDL-C and coronary artery disease (CAD) risk factors and explore the influence of CYP2C19 metabolizer phenotypes on the sdLDL-C lowering efficacy of statins. Methods This study recruited 182 patients with CAD and 200 non-CAD controls. Baseline laboratory indices of fasting blood were detected, including blood lipids, glucose, and creatinine. In addition, LDL-C subfractions were separated and quantified. Gene polymorphisms of SLCO1B1 and CYP2C19 were detected in patients with CAD. The LDL-C subfractions levels of patients with CAD were followed up after statin drug treatment. Results Total cholesterol, LDL-C, LDLC-2, LDLC-3, LDLC-4, LDLC-5, LDLC-6, LDLC-7, and sdLDL-C levels of patients with CAD were significantly higher than those in non-CAD controls. Meanwhile, sdLDL-C (AUC = 0.838) and LDLC-4 (AUC = 0.835) performed outstandingly in distinguishing patients with CAD from controls. Based on CYP2C19 metabolizer phenotypes, 113 patients with CAD were divided into the extensive metabolizer (EM, n = 49), intermediate metabolizer (IM, n = 52), and poor metabolizer (PM, n = 12) groups. The patients with IM and PM metabolizer phenotypes had better sdLDL-C lowering efficacy after taking statin drugs than patients with EM phenotype (P = 0.0268, FDR = 0.0536). The SLCO1B1 genotype had no significant impact on the efficacy of statins (P = 0.1611, FDR = 0.1611). Conclusion sdLDL-C and LDLC-4 outperformed other blood lipids such as LDL-C for CAD risk screening. CYP2C19 metabolizer phenotypes had the potential to predict the efficacy of statins in lowering sdLDL-C.
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Affiliation(s)
- Ruozhu Dai
- Department of Cardiology, Quanzhou First Hospital Afliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Xiaoyu Zhao
- Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai Zhangjiang Institute of Medical Innovation, Shanghai, China
| | - Huilin Zhuo
- Department of Cardiology, Quanzhou First Hospital Afliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Wei Wang
- Department of Cardiology, Quanzhou First Hospital Afliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Yue Xu
- Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai Zhangjiang Institute of Medical Innovation, Shanghai, China
| | - Zixin Hu
- Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai Zhangjiang Institute of Medical Innovation, Shanghai, China,Artificial Intelligence Innovation and Incubation Institute, Fudan University, Shanghai, China,Fudan Zhangjiang Institute, Shanghai, China,*Correspondence: Zixin Hu ✉
| | - Tiexu Zhang
- Department of Cardiovascular Medicine, The First People's Hospital of Pingdingshan, Pingdingshan, Henan, China,Tiexu Zhang ✉
| | - Jiangman Zhao
- Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai Zhangjiang Institute of Medical Innovation, Shanghai, China,Jiangman Zhao ✉
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Petry NJ, Baye JF, Frear S, Jacobsen K, Massmann A, Schultz A, Heukelom JV, Christensen K. Progression of precision statin prescribing for reduction of statin-associated muscle symptoms. Pharmacogenomics 2022; 23:585-596. [PMID: 35775396 DOI: 10.2217/pgs-2022-0055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background: Statins are among the most commonly prescribed medications, and improve patient outcomes by lowering cholesterol levels, but also have side effects. Variations in statin response can be attributed to a handful of factors that include pharmacogenetics. Methods: While not a true review article, this work was written using various search engines and terms and previous and newly published Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines for statins to provide a historical perspective in addition to the current status of statin-related pharmacogenetics and future perspectives. Results: This article provides historical background on statins and associated adverse effects, reviews pharmacogenetic implications, applies clinical-decision support, incorporates the latest CPIC guidelines and addresses future implications. Conclusion: Statins are a beneficial medication, but not without risk. Pharmacogenomics can help mitigate some risk factors. Clinical-decision support, implementation, research and guidelines will continue to influence statin prescribing.
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Affiliation(s)
- Natasha J Petry
- Sanford Health Imagenetics, 1321 W 22nd St, Sioux Falls, SD 57105, USA.,Department of Pharmacy Practice, North Dakota State University, Fargo, ND 58108, USA
| | - Jordan F Baye
- Sanford Health Imagenetics, 1321 W 22nd St, Sioux Falls, SD 57105, USA.,South Dakota State University, College of Pharmacy & Allied Health Professions, SD 57007, USA.,University of South Dakota, Department of Internal Medicine, SD 57105, USA
| | - Samantha Frear
- Sanford Health Imagenetics, 1321 W 22nd St, Sioux Falls, SD 57105, USA
| | - Kristen Jacobsen
- Sanford Health Imagenetics, 1321 W 22nd St, Sioux Falls, SD 57105, USA
| | - Amanda Massmann
- Sanford Health Imagenetics, 1321 W 22nd St, Sioux Falls, SD 57105, USA.,University of South Dakota, Department of Internal Medicine, SD 57105, USA
| | - April Schultz
- Sanford Health Imagenetics, 1321 W 22nd St, Sioux Falls, SD 57105, USA.,University of South Dakota, Department of Internal Medicine, SD 57105, USA
| | - Joel Van Heukelom
- Sanford Health Imagenetics, 1321 W 22nd St, Sioux Falls, SD 57105, USA.,University of South Dakota, Department of Internal Medicine, SD 57105, USA
| | - Kurt Christensen
- Department of Population Medicine, PRecisiOn Medicine Translational Research (PROMoTeR) Center, Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA.,Department of Population Medicine, Harvard Medical School, Boston, MA 02215, USA.,Broad Institute of MIT & Harvard, Cambridge, MA 02142, USA
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9
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Kim S, Seo JD, Yun YM, Kim H, Kim TE, Lee T, Lee TR, Lee JH, Cho EH, Ki CS. Pharmacokinetics and Genetic Factors of Atorvastatin in Healthy Korean Subjects. Front Genet 2022; 13:836970. [PMID: 35664336 PMCID: PMC9160745 DOI: 10.3389/fgene.2022.836970] [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: 12/16/2021] [Accepted: 04/13/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Statins are the most popular agents for the primary and secondary prevention of cardiovascular disease; however, the pharmacokinetic parameters and associated genetic factors in the Korean population have not been fully elucidated. This study explored the pharmacokinetic properties of atorvastatin and the association between genetic variations and atorvastatin pharmacokinetics in healthy Korean subjects. Methods: Atorvastatin (80 mg) was administered to 35 healthy Korean volunteers. Plasma levels of atorvastatin and its metabolites were measured sequentially using liquid chromatography-tandem mass spectrometry from 0 to 24 h after atorvastatin administration. Customized next-generation sequencing analysis was performed covering all coding exons of 15 genes, as well as 46 single-nucleotide variants in 29 genes related to statin pharmacokinetics. Results: The mean area under the concentration-time (AUC) and Cmax (maximum peak concentration) were 269.0 ng/ml∙h and 84.3 ng/ml, respectively, which were approximately two times higher than those reported in Caucasians. Genetic analysis revealed that eight genetic variants in ABCB1, ABCG2, APOA5, CETP, and CYP7A1 contributed to the AUC of atorvastatin. The atorvastatin AUC0–24 h prediction model was developed based on age and eight genetic variants using multivariate linear regression (adjusted R2 = 0.878, p < 0.0001). Conclusion: This study shows that the pharmacokinetic properties of atorvastatin in Koreans are different from those in Caucasians and that atorvastatin AUC0–24 h could be predicted based on age and eight genetic variants of ABCB1, ABCG2, APOA5, CETP, and CYP7A1.
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Affiliation(s)
- Serim Kim
- Department of Laboratory Medicine, Shinwon Medical Foundation, Gwangmyeong-si, South Korea
| | - Jong Do Seo
- Department of Laboratory Medicine, Konkuk University Medical Center, Seoul, South Korea
| | - Yeo-Min Yun
- Department of Laboratory Medicine, Konkuk University Medical Center, Seoul, South Korea
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, South Korea
- *Correspondence: Yeo-Min Yun,
| | - Hanah Kim
- Department of Laboratory Medicine, Konkuk University Medical Center, Seoul, South Korea
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, South Korea
| | - Tae-Eun Kim
- Department of Clinical Pharmacology, Konkuk University Medical Center, Seoul, South Korea
| | | | | | - Jun Hyung Lee
- Department of Laboratory Medicine, GC Labs, Yongin-si, South Korea
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Dagli-Hernandez C, Borges JB, Marçal EDSR, de Freitas RCC, Mori AA, Gonçalves RM, Faludi AA, de Oliveira VF, Ferreira GM, Bastos GM, Zhou Y, Lauschke VM, Cerda A, Hirata MH, Hirata RDC. Genetic Variant ABCC1 rs45511401 Is Associated with Increased Response to Statins in Patients with Familial Hypercholesterolemia. Pharmaceutics 2022; 14:pharmaceutics14050944. [PMID: 35631530 PMCID: PMC9144204 DOI: 10.3390/pharmaceutics14050944] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/28/2022] [Accepted: 04/19/2022] [Indexed: 11/16/2022] Open
Abstract
Statins are the first-line treatment for familial hypercholesterolemia (FH), but response is highly variable due to genetic and nongenetic factors. Here, we explored the association between response and genetic variability in 114 Brazilian adult FH patients. Specifically, a panel of 84 genes was analyzed by exon-targeted gene sequencing (ETGS), and the functional impact of variants in pharmacokinetic (PK) genes was assessed using an array of functionality prediction methods. Low-density lipoprotein cholesterol (LDL-c) response to statins (reduction ≥ 50%) and statin-related adverse event (SRAE) risk were assessed in carriers of deleterious variants in PK-related genes using multivariate linear regression analyses. Fifty-eight (50.8%) FH patients responded to statins, and 24 (21.0%) had SRAE. Results of the multivariate regression analysis revealed that ABCC1 rs45511401 significantly increased LDL-c reduction after statin treatment (p < 0.05). In silico analysis of the amino-acid change using molecular docking showed that ABCC1 rs45511401 possibly impairs statin efflux. Deleterious variants in PK genes were not associated with an increased risk of SRAE. In conclusion, the deleterious variant ABCC1 rs45511401 enhanced LDL-c response in Brazilian FH patients. As such, this variant might be a promising candidate for the individualization of statin therapy.
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Affiliation(s)
- Carolina Dagli-Hernandez
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (J.B.B.); (E.d.S.R.M.); (R.C.C.d.F.); (A.A.M.); (V.F.d.O.); (G.M.F.); (M.H.H.)
- Department of Physiology and Pharmacology, Karolinska Institutet, 171177 Stockholm, Sweden; (Y.Z.); (V.M.L.)
- Correspondence: (C.D.-H.); (R.D.C.H.)
| | - Jéssica Bassani Borges
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (J.B.B.); (E.d.S.R.M.); (R.C.C.d.F.); (A.A.M.); (V.F.d.O.); (G.M.F.); (M.H.H.)
- Laboratory of Molecular Research in Cardiology, Institute Dante Pazzanese of Cardiology, Sao Paulo 04012-909, Brazil;
| | - Elisangela da Silva Rodrigues Marçal
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (J.B.B.); (E.d.S.R.M.); (R.C.C.d.F.); (A.A.M.); (V.F.d.O.); (G.M.F.); (M.H.H.)
- Laboratory of Molecular Research in Cardiology, Institute Dante Pazzanese of Cardiology, Sao Paulo 04012-909, Brazil;
| | - Renata Caroline Costa de Freitas
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (J.B.B.); (E.d.S.R.M.); (R.C.C.d.F.); (A.A.M.); (V.F.d.O.); (G.M.F.); (M.H.H.)
| | - Augusto Akira Mori
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (J.B.B.); (E.d.S.R.M.); (R.C.C.d.F.); (A.A.M.); (V.F.d.O.); (G.M.F.); (M.H.H.)
| | - Rodrigo Marques Gonçalves
- Medical Clinic Division, Institute Dante Pazzanese of Cardiology, Sao Paulo 04012-909, Brazil; (R.M.G.); (A.A.F.)
| | - Andre Arpad Faludi
- Medical Clinic Division, Institute Dante Pazzanese of Cardiology, Sao Paulo 04012-909, Brazil; (R.M.G.); (A.A.F.)
| | - Victor Fernandes de Oliveira
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (J.B.B.); (E.d.S.R.M.); (R.C.C.d.F.); (A.A.M.); (V.F.d.O.); (G.M.F.); (M.H.H.)
| | - Glaucio Monteiro Ferreira
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (J.B.B.); (E.d.S.R.M.); (R.C.C.d.F.); (A.A.M.); (V.F.d.O.); (G.M.F.); (M.H.H.)
| | - Gisele Medeiros Bastos
- Laboratory of Molecular Research in Cardiology, Institute Dante Pazzanese of Cardiology, Sao Paulo 04012-909, Brazil;
- Department of Teaching and Research, Real e Benemerita Associação Portuguesa de Beneficiencia, Sao Paulo 01323-001, Brazil
| | - Yitian Zhou
- Department of Physiology and Pharmacology, Karolinska Institutet, 171177 Stockholm, Sweden; (Y.Z.); (V.M.L.)
| | - Volker M. Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, 171177 Stockholm, Sweden; (Y.Z.); (V.M.L.)
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Auerbachstr. 112, 70376 Stuttgart, Germany
- University of Tuebingen, Geschwister-Scholl-Platz, 72074 Tübingen, Germany
| | - Alvaro Cerda
- Center of Excellence in Translational Medicine, CEMT-BIOREN & Department of Basic Sciences, Universidad de La Frontera, Av. Alemania 0458, Temuco 4810296, Chile;
| | - Mario Hiroyuki Hirata
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (J.B.B.); (E.d.S.R.M.); (R.C.C.d.F.); (A.A.M.); (V.F.d.O.); (G.M.F.); (M.H.H.)
| | - Rosario Dominguez Crespo Hirata
- Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of Sao Paulo, Sao Paulo 05508-000, Brazil; (J.B.B.); (E.d.S.R.M.); (R.C.C.d.F.); (A.A.M.); (V.F.d.O.); (G.M.F.); (M.H.H.)
- Correspondence: (C.D.-H.); (R.D.C.H.)
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11
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Cheng T, Li C, Shen L, Wang S, Li X, Fu C, Li T, Liu B, Gu Y, Wang W, Feng B. The Intestinal Effect of Atorvastatin: Akkermansia muciniphila and Barrier Function. Front Microbiol 2022; 12:797062. [PMID: 35185821 PMCID: PMC8847773 DOI: 10.3389/fmicb.2021.797062] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 12/06/2021] [Indexed: 12/12/2022] Open
Abstract
Studies have shown that the cholesterol-lowering medicine statins alter the gut microbiome, induce chronic metabolic inflammation, and disrupt glycemic homeostasis. In this study, we aimed to investigate whether effects of atorvastatin (Ator) on gut microbiome and metabolic inflammation could be causally correlated. Mice at 8-week age were fed with high-fat diet (HFD) or HFD with Ator (HFD+Ator) for 16 weeks. 16S rRNA sequencing of stool and RNA sequencing of colon tissue were employed to analyze the intestinal alterations that could be induced by Ator. A human colon carcinoma cell line (Caco2) was used for in vitro experiments on barrier function. Compared to HFD, HFD+Ator induced more weight gain, impaired glucose tolerance, and led to gut microbiota dysbiosis, such as suppressing Akkermansia muciniphila in mice. The expressions of tight junction (TJ) proteins were attenuated in the colon, and the serum LPS-binding-protein (LBP) level was elevated in HFD+Ator mice, so as to transcriptionally activate the intestinal nuclear factor-k-gene binding (NF-κB) signaling pathway. Consistently, Ator impaired the barrier function of Caco2, and treatment of supernatant of A. Muciniphila culture could decrease the intestinal permeability and recover the attenuated expression of TJ proteins induced by Ator. In conclusion, long-term use of Ator with HFD may alter gut microbiota, induce intestinal barrier dysfunction, and hence promote chronic inflammation that contributes to disrupted glycemic homeostasis.
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Affiliation(s)
- Tingting Cheng
- Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Changkun Li
- National Research Centre for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Institute for Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Linyan Shen
- Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shujie Wang
- National Research Centre for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Institute for Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuelin Li
- National Research Centre for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Institute for Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenyang Fu
- National Research Centre for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Institute for Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tingting Li
- National Research Centre for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Institute for Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bei Liu
- National Research Centre for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Institute for Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanyun Gu
- National Research Centre for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Institute for Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- National Research Centre for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Institute for Endocrine and Metabolic Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bo Feng
- Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
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12
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Soliemanabad SK, Rasouli K, Zakariaei Z, Soleymani M, Aliabadi PK. Rhabdomyolysis due to warfarin and atorvastatin combination therapy in a patient with ischemic heart disease: (A drug interaction). Ann Med Surg (Lond) 2022; 75:103384. [PMID: 35242328 PMCID: PMC8861410 DOI: 10.1016/j.amsu.2022.103384] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/03/2022] [Accepted: 02/10/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction Although atorvastatin has serious adverse effects, including hepatotoxicity and myopathy, it can cause drug interactions and side effects such as rhabdomyolysis and acute kidney injury, especially when combined with warfarin, which uses the same enzyme pathway for metabolism. Case presentation We describe a 66-year-old man with a history of ischemic heart disease who developed renal complications and rhabdomyolysis after concomitant use of atorvastatin and warfarin. Discussion Statins reduce serum LDL cholesterol levels significantly. It is a safe and cost-effective medicine used in the treatment of DLP as well as the primary and secondary prevention of CAD, atherosclerosis, myocardial infarction, and stroke. Despite their benefits, statins can cause side effects in various organs of the body, including the gastrointestinal tract, CNS, liver, and kidneys. Conclusion Statins are widely prescribed to patients with cardiovascular problems. Therefore, clinicians should pay attention to the patient's medical history, current prescribed doses, and drug interactions when adding new drugs or adjusting existing drugs. Rhabdomyolysis due to warfarin and atorvastatin combination therapy. Renal complications and rhabdomyolysis after concomitant use of atorvastatin and warfarin. Rhabdomyolysis is a life-threatening disease that begins with myalgia and progresses to myocyte necrosis, hyperkalemia.
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Affiliation(s)
| | - Kimia Rasouli
- Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
| | - Zakaria Zakariaei
- Toxicology and Forensic Medicine Division, Toxoplasmosis Research Center, Imam Khomeini Hospital, Mazandaran University of Medical Sciences, Sari, Iran
- Toxoplasmosis Research Center, Communicable Diseases Institute, Iranian National Registry Center for Lophomoniasis and Toxoplasmosis, Mazandaran University of Medical Sciences, Sari, Iran
- Corresponding author. Toxicology and Forensic Medicine Division, Toxoplasmosis Research Center, Imam Khomeini Hospital, Mazandaran University of Medical Sciences, Sari, P.O box: 48166-33131, Iran.
| | - Mostafa Soleymani
- Toxoplasmosis Research Center, Communicable Diseases Institute, Iranian National Registry Center for Lophomoniasis and Toxoplasmosis, Mazandaran University of Medical Sciences, Sari, Iran
| | - Parastoo Karimi Aliabadi
- Department of Family Medicine, Diabetes Research Center, Mazandaran University of Medical Sciences, Sari, Iran
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Pharmacogenomics of statins: lipid response and other outcomes in Brazilian cohorts. Pharmacol Rep 2021; 74:47-66. [PMID: 34403130 DOI: 10.1007/s43440-021-00319-y] [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: 06/09/2021] [Revised: 07/21/2021] [Accepted: 07/30/2021] [Indexed: 01/20/2023]
Abstract
Statins are inhibitors of 3-hydroxy-3-methylglutaryl-CoA reductase, a key enzyme in cholesterol biosynthesis, that are highly effective in reducing plasma low-density lipoprotein (LDL) cholesterol and decreasing the risk of cardiovascular events. In recent years, a multitude of variants in genes involved in pharmacokinetics (PK) and pharmacodynamics (PD) have been suggested to influence the cholesterol-lowering response. However, the vast majority of studies have analyzed the pharmacogenetic associations in populations in Europe and the USA, whereas data in other populations, including Brazil, are mostly lacking. This narrative review provides an update of clinical studies on statin pharmacogenomics in Brazilian cohorts exploring lipid-lowering response, adverse events and pleiotropic effects. We find that variants in drug transporter genes (SLCO1B1 and ABCB1) positively impacted atorvastatin and simvastatin response, whereas variants in genes of drug metabolizing enzymes (CYP3A5) decreased response. Furthermore, multiple associations of variants in PD genes (HMGCR, LDLR and APOB) with statin response were identified. Few studies have explored statin-related adverse events, and only ABCB1 but not SLCO1B1 variants were robustly associated with increased risk in Brazil. Statin-related pleiotropic effects were shown to be influenced by variants in PD (LDLR, NR1H2) and antioxidant enzyme (NOS3, SOD2, MTHFR, SELENOP) genes. The findings of these studies indicate that statin pharmacogenomic associations are distinctly different in Brazil compared to other populations. This review also discusses the clinical implications of pharmacogenetic studies and the rising importance of investigating rare variants to explore their association with statin response.
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Selected LDLR and APOE Polymorphisms Affect Cognitive and Functional Response to Lipophilic Statins in Alzheimer's Disease. J Mol Neurosci 2020; 70:1574-1588. [PMID: 32474901 DOI: 10.1007/s12031-020-01588-7] [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] [Received: 02/12/2020] [Accepted: 05/13/2020] [Indexed: 12/14/2022]
Abstract
Effects of statins over clinical changes in Alzheimer's disease (AD) are usually non-significant, but epistatic interactions between genetic variants involved in cholesterol metabolism could be important for such effects. We aimed to investigate whether LDLR single-nucleotide polymorphisms rs11669576 (LDLR8), rs5930 (LDLR10), and rs5925 (LDLR13) are associated with cognitive and functional changes in AD, while also considering APOE haplotypes and lipid-lowering treatment with lipophilic statins for stratification. Consecutive outpatients with late-onset AD were screened with cognitive tests, while caregivers scored functionality and caregiver burden, with prospective neurotranslational correlations documented for 1 year. For 179 patients, minor allele frequencies were 0.078 for rs11669576-A (14.5% heterozygotes), 0.346 for rs5930-A (42.5% heterozygotes), and 0.444 for rs5925-C (56.4% heterozygotes), all in Hardy-Weinberg equilibrium; 134 patients had hypercholesterolemia, and 133 used lipophilic statins. Carriers of rs11669576-G had faster cognitive decline, while functional decline was slower for carriers of rs11669576-A who used lipophilic statins. APOE-ε4 carriers who also carried rs5930-AA had improved caregiver burden, while carriers of haplotypes that included rs5930-AG had worse cognitive and functional outcomes, though carriers of the A allele of rs5930 had better cognitive and functional response to lipophilic statins. APOE-ε4 non-carriers who carried rs5925-TT had slower cognitive decline, while lipophilic statins protected carriers of the other genotypes. We preliminarily conclude that reportedly protective variants of LDLR and APOE against risk of AD also slowed cognitive decline, regardless of cholesterol variations, while therapy with lipophilic statins might benefit carriers of specific genetic variants.
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Comparative Lipid-Lowering/Increasing Efficacy of 7 Statins in Patients with Dyslipidemia, Cardiovascular Diseases, or Diabetes Mellitus: Systematic Review and Network Meta-Analyses of 50 Randomized Controlled Trials. Cardiovasc Ther 2020; 2020:3987065. [PMID: 32411300 PMCID: PMC7201823 DOI: 10.1155/2020/3987065] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Revised: 01/30/2020] [Accepted: 03/18/2020] [Indexed: 12/11/2022] Open
Abstract
Objective The drug efficacy may differ among different statins, and evidence from head-to-head comparisons is sparse and inconsistent. The study is aimed at comparing the lipid-lowering/increasing effects of 7 different statins in patients with dyslipidemia, cardiovascular diseases, or diabetes mellitus by conducting systematic review and network meta-analyses (NMA) of the lipid changes after certain statins' use. Methods In this study, we searched four electronic databases for randomized controlled trials (RCTs) published through February 25, 2020, comparing the lipid-lowering efficacy of no less than two of the included statins (or statin vs. placebo). Three reviewers independently extracted data in duplicate. Firstly, mixed treatment overall comparison analyses, in the form of frequentist NMAs, were conducted using STATA 15.0 software. Then, subgroup analyses were conducted according to different baseline diseases. At last, sensitivity analyses were conducted according to age and follow-up duration. The trial was registered with PROSPERO (number CRD42018108799). Results As a result, seven statin monotherapy treatments in 50 studies (51956 participants) were used for the analyses. The statins included simvastatin (SIM), fluvastatin (FLU), atorvastatin (ATO), rosuvastatin (ROS), lovastatin (LOV), pravastatin (PRA), and pitavastatin (PIT). In terms of LDL-C lowering, rosuvastatin ranked 1st with a surface under cumulated ranking (SUCRA) value of 93.1%. The comparative treatment efficacy for LDL-C lowering was ROS>ATO>PIT>SIM>PRA>FLU>LOV>PLA. All of the other ranking and NMA results were reported in SUCRA plots and league tables. Conclusions According to the NMAs, it can be concluded that rosuvastatin ranked 1st in LDL-C, ApoB-lowering efficacy and ApoA1-increasing efficacy. Lovastatin ranked 1st in TC- and TG-lowering efficacy, and fluvastatin ranked 1st in HDL-C-increasing efficacy. The results should be interpreted with caution due to some limitations in our review. However, they can provide references and evidence-based foundation for drug selection in both statin monotherapies and statin combination therapies.
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Marin JJG, Serrano MA, Monte MJ, Sanchez-Martin A, Temprano AG, Briz O, Romero MR. Role of Genetic Variations in the Hepatic Handling of Drugs. Int J Mol Sci 2020; 21:E2884. [PMID: 32326111 PMCID: PMC7215464 DOI: 10.3390/ijms21082884] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 04/09/2020] [Accepted: 04/17/2020] [Indexed: 12/18/2022] Open
Abstract
The liver plays a pivotal role in drug handling due to its contribution to the processes of detoxification (phases 0 to 3). In addition, the liver is also an essential organ for the mechanism of action of many families of drugs, such as cholesterol-lowering, antidiabetic, antiviral, anticoagulant, and anticancer agents. Accordingly, the presence of genetic variants affecting a high number of genes expressed in hepatocytes has a critical clinical impact. The present review is not an exhaustive list but a general overview of the most relevant variants of genes involved in detoxification phases. The available information highlights the importance of defining the genomic profile responsible for the hepatic handling of drugs in many ways, such as (i) impaired uptake, (ii) enhanced export, (iii) altered metabolism due to decreased activation of prodrugs or enhanced inactivation of active compounds, and (iv) altered molecular targets located in the liver due to genetic changes or activation/downregulation of alternative/compensatory pathways. In conclusion, the advance in this field of modern pharmacology, which allows one to predict the outcome of the treatments and to develop more effective and selective agents able to overcome the lack of effect associated with the existence of some genetic variants, is required to step forward toward a more personalized medicine.
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Affiliation(s)
- Jose J. G. Marin
- HEVEFARM Group, Center for the Study of Liver and Gastrointestinal Diseases (CIBERehd), Carlos III National Institute of Health, University of Salamanca, IBSAL, 37007 Salamanca, Spain; (M.A.S.); (M.J.M.); (A.S.-M.); (A.G.T.); (O.B.); (M.R.R.)
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Guan ZW, Wu KR, Li R, Yin Y, Li XL, Zhang SF, Li Y. Pharmacogenetics of statins treatment: Efficacy and safety. J Clin Pharm Ther 2019; 44:858-867. [PMID: 31436349 DOI: 10.1111/jcpt.13025] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Revised: 06/02/2019] [Accepted: 07/17/2019] [Indexed: 12/16/2022]
Abstract
WHAT IS KNOWN AND OBJECTIVE Statins are widely used worldwide in the prevention and treatment of coronary atherosclerotic heart disease and ischaemic stroke. However, in clinical application, statins have shown great individual differences in terms of the efficacy and safety, some of which are related to genetic factors. The purpose of this article was to summarize the recent advances about the correlation between gene polymorphisms and the efficacy/safety of statins. METHODS We searched the databases including PharmGKB and PubMed (published before June 2019) using the keywords such as 'statin', 'gene polymorphism' and 'SNP' and obtained more than 100 articles. In this review, we described the clinical studies of genetic variants associated with both the efficacy and adverse reactions of statins. We also clarified the importance of taking pharmacogenetic variation into account to improve the clinical application of statins. RESULTS AND DISCUSSION The available data were collected and analysed to present the polymorphisms of candidate genes encoding the most promising proteins including SLCO1B1 (encoding uptake transporters); ABCB1, ABCC2, ABCG2 (encoding effluent transporter); APOE, APOA5 (encoding apolipoprotein); genes encoding cytochrome P450 enzyme system; KIF6, HMGCR, LDLR, LPA, PCSK9, COQ2, CETP, etc These genes were proved to be related to the pharmacodynamics and pharmacokinetics of statins, thus affecting the efficacy and safety. WHAT IS NEW AND CONCLUSION In this paper, the correlation between gene polymorphisms and the efficacy/safety of statins was summarized. The authors reached a consensus that the variants of the genes encoding uptake and effluent transporters have the most effect on the efficacy/safety of statins. It pointed out that it is desirable to do genetic testing of these transporter genes to reduce the incidence of myopathy or to achieve better outcomes before patients use statins, especially in the regions with high frequency of risk allele.
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Affiliation(s)
- Zi-Wan Guan
- School of Pharmaceutical Sciences, Shandong University, Jinan, China.,Shandong Provincial Qianfoshan Hospital Affiliated to Shandong University, Jinan, China
| | - Kun-Rong Wu
- School of Pharmaceutical Sciences, Shandong University, Jinan, China.,Shandong Provincial Qianfoshan Hospital Affiliated to Shandong University, Jinan, China
| | - Rui Li
- School of Pharmaceutical Sciences, Shandong University, Jinan, China.,Shandong Provincial Qianfoshan Hospital Affiliated to Shandong University, Jinan, China
| | - Ying Yin
- School of Pharmacy, Shandong First Medical University, Taian, China
| | - Xiao-Li Li
- School of Pharmacy, Shandong First Medical University, Taian, China
| | - Shu-Fang Zhang
- School of Pharmacy, Shandong First Medical University, Taian, China
| | - Yan Li
- Shandong Provincial Qianfoshan Hospital Affiliated to Shandong University, Jinan, China
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Bea AM, Lamiquiz-Moneo I, Marco-Benedí V, Mateo-Gallego R, Pérez-Calahorra S, Jarauta E, Martín C, Cenarro A, Civeira F. Lipid-lowering response in subjects with the p.(Leu167del) mutation in the APOE gene. Atherosclerosis 2019; 282:143-147. [DOI: 10.1016/j.atherosclerosis.2019.01.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 01/09/2019] [Accepted: 01/16/2019] [Indexed: 01/09/2023]
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Ruiz-Iruela C, Padró-Miquel A, Pintó-Sala X, Baena-Díez N, Caixàs-Pedragós A, Güell-Miró R, Navarro-Badal R, Jusmet-Miguel X, Calmarza P, Puzo-Foncilla JL, Alía-Ramos P, Candás-Estébanez B. KIF6 gene as a pharmacogenetic marker for lipid-lowering effect in statin treatment. PLoS One 2018; 13:e0205430. [PMID: 30304062 PMCID: PMC6179259 DOI: 10.1371/journal.pone.0205430] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 09/25/2018] [Indexed: 01/24/2023] Open
Abstract
INTRODUCTION The therapeutic response to statins has a high interindividual variability with respect to reductions in plasma LDL-cholesterol (c-LDL) and increases in HDL cholesterol (c-HDL). Many studies suggest that there is a relationship between the rs20455 KIF6 gene variant (c.2155T> C, Trp719Arg) and a lower risk of cardiovascular disease in patients being treated with statins. AIM The aim of this study was to investigate whether or not the c.2155T> C KIF6 gene variant modulates the hypercholesteremic effects of treatment with simvastatin, atorvastatin, or rosuvastatin. MATERIALS AND METHODS This was a prospective, observational and multicenter study. Three hundred and forty-four patients who had not undergone prior lipid-lowering treatment were recruited. Simvastatin, atorvastatin or rosuvastatin were administered. Lipid profiles and multiple clinical and biochemical variables were assessed before and after treatment. RESULTS The c.2155T> C variant of the KIF6 gene was shown to influence physiological responses to treatment with simvastatin and atorvastatin. Patients who were homozygous for the c.2155T> C variant (CC genotype, ArgArg) had a 7.0% smaller reduction of LDL cholesterol levels (p = 0.015) in response to hypolipidemic treatment compared to patients with the TT (TrpTrp) or CT (TrpArg) genotype. After pharmacological treatment with rosuvastatin, patients carrying the genetic variant had an increase in c-HDL that was 21.9% lower compared to patients who did not carry the variant (p = 0.008). CONCLUSION Being a carrier of the c.2155T> C variant of the KIF6 gene negatively impacts patient responses to simvastatin, atorvastatin or rosuvastatin in terms of lipid lowering effect. Increasing the intensity of hypolipidemic therapy may be advisable for patients who are positive for the c.2155T> C variant.
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Affiliation(s)
- Cristina Ruiz-Iruela
- Clinical laboratory, IDIBELL-Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ariadna Padró-Miquel
- Clinical laboratory, IDIBELL-Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Xavier Pintó-Sala
- Cardiovascular unit, IDIBELL-Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Neus Baena-Díez
- Genetics laboratory, Corporació Sanitari Parc Tauli, Sabadell, Barcelona, Spain
| | | | - Roser Güell-Miró
- Hospitalet Clinical laboratory, Centre Atenció Primària Just Oliveras, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Rosa Navarro-Badal
- Hospitalet Clinical laboratory, Centre Atenció Primària Just Oliveras, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Xavier Jusmet-Miguel
- Family medicine, Centre Atenció Primària Just Oliveras, L’Hospitalet de Llobregat, Barcelona, Spain
| | - Pilar Calmarza
- Clinical laboratory, Hospital Miguel Servet, Zaragoza, Spain
| | | | - Pedro Alía-Ramos
- Clinical laboratory, IDIBELL-Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Beatriz Candás-Estébanez
- Clinical laboratory, IDIBELL-Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain
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Bianchi CF, Petrucci O. A better treatment for saphenous vein graft disease after coronary artery bypass surgery: Might statins be the answer at the right dose to the right patient at the right time? J Thorac Cardiovasc Surg 2018; 157:162-163. [PMID: 30104062 DOI: 10.1016/j.jtcvs.2018.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 07/01/2018] [Accepted: 07/02/2018] [Indexed: 10/28/2022]
Affiliation(s)
- Cesario F Bianchi
- Technological and Biotechnological Research Centers, School of Medicine, University of Mogi das Cruzes, Mogi das Cruzes, São Paulo, Brazil.
| | - Orlando Petrucci
- Department of Surgery, Faculty of Medical Science, State University of Campinas, Campinas, São Paulo, Brazil
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Ramakumari N, Indumathi B, Katkam SK, Kutala VK. Impact of pharmacogenetics on statin-induced myopathy in South-Indian subjects. Indian Heart J 2018; 70 Suppl 3:S120-S125. [PMID: 30595243 PMCID: PMC6309567 DOI: 10.1016/j.ihj.2018.07.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 07/07/2018] [Accepted: 07/18/2018] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES Statins are the most commonly prescribed medications for the treatment of atherosclerotic cardiovascular disease. Statin-associated adverse effects occur in ∼10% of patients and are associated with polymorphisms in several key genes coding for transporters and metabolizing enzymes that affect statin pharmacokinetics. In the present study, we examine the association between cytochrome P450 3A5*3 (CYP3A5*3) T>C (rs776746), COQ G>C (rs4693075), and SLCO1B1 T>C (rs4149056) genetic variants with the risk of myopathy in South Indian patients on statin therapy. METHODS A total of 202 patients on atorvastatin or rosuvastatin therapy for 12 years were recruited in the study. Genotyping of drug metabolic CYP3A5*3 gene variant and drug transporter genes COQ G>C (rs4693075) and SLCO1B1 T>C (rs4149056) was analyzed by Sanger's sequencing. RESULTS In our study subjects, the percentage of patients diagnosed to have statin-induced myopathy was 18%. The majority of the patients were on 10 mg/day dose of either atorvastatin or rosuvastatin. The homozygous nonexpressors genotype CYP3A5*3/3 frequency of the CYP3A5 polymorphism was higher in patients with myopathy. But we could not find association of CYP3A5, COQ, and SLCO1B1 gene polymorphisms with either rosuvastatin or atorvastatin. CONCLUSION Our results clearly demonstrate that the frequency of CYP3A5*3 splicing variant is higher in myopathy group than in the tolerant group. We did not find significant association of genetic polymorphisms in CYP3A5, COQ, and SLCO1B1 with atorvastatin- or rosuvastatin-induced myopathy.
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Affiliation(s)
- Nuthalapati Ramakumari
- Department of Cardiology, Nizam's Institute of Medical Sciences, Panjagutta, Hyderabad, India.
| | - Bobbala Indumathi
- Department of Cardiology, Nizam's Institute of Medical Sciences, Panjagutta, Hyderabad, India
| | - Shiva Krishna Katkam
- Department of Cardiology, Nizam's Institute of Medical Sciences, Panjagutta, Hyderabad, India
| | - Vijay Kumar Kutala
- Department of Clinical Pharmacology & Therapeutics, Nizam's Institute of Medical Sciences, Punjagutta, Hyderabad, India
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Adam de Beaumais T, Jacqz-Aigrain E. Pharmacogenetics: Applications to Pediatric Patients. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2018; 83:191-215. [PMID: 29801575 DOI: 10.1016/bs.apha.2018.04.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Individual genomic differences may affect drug disposition and effects of many drugs, and identification of biomarkers are crucial to personalize dosage and optimize response. In children, developmental changes associated with growth and maturation translate into different relationships between genotype and phenotype and different responses to treatment compared to adults. This review aims to summarize some developmental aspects of pharmacogenetics, based on practical examples.
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Affiliation(s)
- Tiphaine Adam de Beaumais
- Department of Paediatric Pharmacology and Pharmacogenetics, Robert Debré Hospital, APHP, Paris, France
| | - Evelyne Jacqz-Aigrain
- Department of Paediatric Pharmacology and Pharmacogenetics, Robert Debré Hospital, APHP, Paris, France; University Paris Diderot Sorbonne Paris Cité, Paris, France; Clinical Investigation Center CIC1426, INSERM, Paris, France.
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Cacabelos R. Population-level pharmacogenomics for precision drug development in dementia. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2018. [DOI: 10.1080/23808993.2018.1468218] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Ramón Cacabelos
- EuroEspes Biomedical Research Center, Institute of Medical Science and Genomic Medicine, Bergondo, Corunna, Spain
- Chair of Genomic Medicine, Continental University Medical School, Huancayo, Peru
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