Pharmacogenetic considerations for cardiovascular drugs discusses several drugs where genetic factors can influence drug response, including clopidogrel, warfarin, and statins. For clopidogrel, CYP2C19 metabolizer status is important as poor metabolizers have lower drug levels and diminished effects. Warfarin dosing is affected by variants in CYP2C9, VKORC1, and CYP4F2. Statins like simvastatin are affected by SLCO1B1 variants which influence drug transport and risk of muscle symptoms. Clinical guidelines provide recommendations on genotype-guided dosing for these drugs.
pharmacogenomics is a new drug discovry approach. It is the study of how genes affect a person's response to drugs, combining pharmacology and genomics
Pharmacogenomics in Cardiovascular Diseasesarna318
- Pharmacogenomics uses genetic information to guide treatment for cardiovascular diseases. Variations in genes like SLCO1B1, CYP2C19, and VKORC1 influence patient responses to common cardiovascular drugs like statins, clopidogrel, and coumarins. Testing for these genetic biomarkers can optimize drug therapy, reducing adverse effects and improving outcomes. Considering a patient's genetic profile may help select the most effective statin or coumarin dosage and avoid less effective clopidogrel treatment. Pharmacogenomics holds promise for more personalized medicine that cures disease while minimizing health risks.
This document discusses genetic polymorphisms in drug transport proteins and how they can impact drug pharmacokinetics and toxicity. It introduces two major superfamilies of transport proteins - ATP-binding cassette (ABC) transporters and solute carrier (SLC) proteins. Specific ABC transporters discussed include P-glycoprotein (ABCB1), the multidrug resistance proteins ABCC1 and ABCG2. The document also summarizes key SLC transporters and provides examples of important substrates for each. Genetic variations in these transport proteins can significantly influence individual responses to drugs like irinotecan used in cancer chemotherapy.
The document discusses pharmacogenomics and how genetic variations can affect individual responses to drugs. It describes how pharmacogenomics examines genomic loci and biological pathways to determine drug variability. It also discusses pharmacogenetics which focuses on single gene variants. The document outlines some merits of pharmacogenomics like improving drug safety and personalized treatment. It then discusses various scenarios on how genetic polymorphisms can impact different drug metabolism pathways. Finally, it examines how specific genetic variations in drug metabolizing enzymes and transporters can influence drug pharmacokinetics and potential adverse effects.
This document provides an introduction to pharmacogenomics. It defines pharmacogenomics as the study of how genetic variations affect drug response and metabolism. It discusses key concepts like interracial and individual variability in drug metabolism due to single nucleotide polymorphisms and variable number tandem repeats. Case studies on tamoxifen metabolism and alcohol metabolism are presented. Challenges to implementing pharmacogenomics in clinical practice are noted. Applications to drug development and personalized medicine are mentioned.
Pharmacogenomics is the study of how an individual's genetic inheritance affects their body's response to drugs. It involves studying the genetic basis for variability in drug efficacy and toxicity. The goal is to develop personalized medicine by understanding how genetic factors influence an individual's ability to metabolize and respond to drugs. Key factors that can vary between individuals include drug metabolizing enzymes, drug transporters, and drug targets. Genetic variations in these factors are associated with differences in drug efficacy or risk of adverse effects. Pharmacogenomic testing helps identify genetic polymorphisms that can predict drug response and dosing requirements.
Pharmacogenetics and pharmacogenomics is an upcoming branch in therapeutics. Various pharmacogenomic tests are currently available to aid in actual clinical practice. It has shown to have promising results in personalized medicine It is my attempt to compile the basic concepts from various books, articles, and online journals. Please feel free to comment.
This document discusses the pharmacogenetics of response to antidepressant drugs. It covers the basics of pharmacogenetics and defines key terms. It then explores genetic factors that can cause variations in drug metabolism, including polymorphisms in drug metabolizing enzymes, transporters, receptors, and intracellular pathways. Specifically, it examines the roles of cytochrome P450 enzymes and P-glycoprotein in the pharmacokinetics of antidepressant response. It also looks at pharmacodynamics factors like monoamine metabolic enzymes and transporters that can influence individual responses to antidepressant treatment.
pharmacogenomics is a new drug discovry approach. It is the study of how genes affect a person's response to drugs, combining pharmacology and genomics
Pharmacogenomics in Cardiovascular Diseasesarna318
- Pharmacogenomics uses genetic information to guide treatment for cardiovascular diseases. Variations in genes like SLCO1B1, CYP2C19, and VKORC1 influence patient responses to common cardiovascular drugs like statins, clopidogrel, and coumarins. Testing for these genetic biomarkers can optimize drug therapy, reducing adverse effects and improving outcomes. Considering a patient's genetic profile may help select the most effective statin or coumarin dosage and avoid less effective clopidogrel treatment. Pharmacogenomics holds promise for more personalized medicine that cures disease while minimizing health risks.
This document discusses genetic polymorphisms in drug transport proteins and how they can impact drug pharmacokinetics and toxicity. It introduces two major superfamilies of transport proteins - ATP-binding cassette (ABC) transporters and solute carrier (SLC) proteins. Specific ABC transporters discussed include P-glycoprotein (ABCB1), the multidrug resistance proteins ABCC1 and ABCG2. The document also summarizes key SLC transporters and provides examples of important substrates for each. Genetic variations in these transport proteins can significantly influence individual responses to drugs like irinotecan used in cancer chemotherapy.
The document discusses pharmacogenomics and how genetic variations can affect individual responses to drugs. It describes how pharmacogenomics examines genomic loci and biological pathways to determine drug variability. It also discusses pharmacogenetics which focuses on single gene variants. The document outlines some merits of pharmacogenomics like improving drug safety and personalized treatment. It then discusses various scenarios on how genetic polymorphisms can impact different drug metabolism pathways. Finally, it examines how specific genetic variations in drug metabolizing enzymes and transporters can influence drug pharmacokinetics and potential adverse effects.
This document provides an introduction to pharmacogenomics. It defines pharmacogenomics as the study of how genetic variations affect drug response and metabolism. It discusses key concepts like interracial and individual variability in drug metabolism due to single nucleotide polymorphisms and variable number tandem repeats. Case studies on tamoxifen metabolism and alcohol metabolism are presented. Challenges to implementing pharmacogenomics in clinical practice are noted. Applications to drug development and personalized medicine are mentioned.
Pharmacogenomics is the study of how an individual's genetic inheritance affects their body's response to drugs. It involves studying the genetic basis for variability in drug efficacy and toxicity. The goal is to develop personalized medicine by understanding how genetic factors influence an individual's ability to metabolize and respond to drugs. Key factors that can vary between individuals include drug metabolizing enzymes, drug transporters, and drug targets. Genetic variations in these factors are associated with differences in drug efficacy or risk of adverse effects. Pharmacogenomic testing helps identify genetic polymorphisms that can predict drug response and dosing requirements.
Pharmacogenetics and pharmacogenomics is an upcoming branch in therapeutics. Various pharmacogenomic tests are currently available to aid in actual clinical practice. It has shown to have promising results in personalized medicine It is my attempt to compile the basic concepts from various books, articles, and online journals. Please feel free to comment.
This document discusses the pharmacogenetics of response to antidepressant drugs. It covers the basics of pharmacogenetics and defines key terms. It then explores genetic factors that can cause variations in drug metabolism, including polymorphisms in drug metabolizing enzymes, transporters, receptors, and intracellular pathways. Specifically, it examines the roles of cytochrome P450 enzymes and P-glycoprotein in the pharmacokinetics of antidepressant response. It also looks at pharmacodynamics factors like monoamine metabolic enzymes and transporters that can influence individual responses to antidepressant treatment.
Therapeutic drug monitoring (TDM) of drugs used in seizure disordersAbel C. Mathew
Therapeutic drug monitoring (TDM) of drugs used in seizure disorders- Phenytoin, Valproic acid, Carbamazepine are major drugs used in epilepsy disorders. These drug need TDM to ensure their proper usage.
GENETIC POLYMORPHISM IN DRUG METABOLISM.pptxAmeena Kadar
Genetic Polymorphism is one of the factors that affects the Drug metabolism. Cytochrome P - 450, one of the prominent group of metabolizing enzymes. In this ppt, genetic polymorphism of cytochrome p 450 is discussed.
This document summarizes the pharmacogenetics of warfarin, an anticoagulant drug with a narrow therapeutic index. Variants in the CYP2C9 and VKORC1 genes influence patients' warfarin dose requirements by affecting the drug's metabolism and mechanism of action. Studies show pharmacogenetic testing can identify patients who require lower or higher than average warfarin doses to achieve therapeutic anticoagulation more accurately than clinical algorithms alone. Further research is still needed, but pharmacogenetic testing may help improve warfarin dosing and reduce bleeding risks.
- Pharmacogenomics deals with how genetic variations influence individual responses to drugs in terms of efficacy and toxicity. It aims to identify individuals who are more or less likely to respond to drugs or require altered doses.
- Pharmacogenetics studies variations in targeted genes or related genes, while pharmacogenomics uses genetic information to guide individualized drug and dose choice.
- Genetic polymorphisms like SNPs can result in different amino acids, protein changes, or no effect. They influence drug metabolism and response.
- Pharmacogenomics offers advantages like personalized medicine but faces barriers like complexity, education needs, and drug company incentives. It is being applied in various stages of clinical trials from target identification to dosing.
This document provides an overview of pharmacogenetics and discusses:
1. Pharmacogenetics is the study of how genetic factors influence individual responses to drugs. It considers both environmental and genetic factors that impact drug metabolism and effects.
2. Key concepts include how genetic polymorphisms affect drug metabolizing enzymes and transporters, leading to variability in drug efficacy and risk of adverse reactions between individuals.
3. The field has progressed from early discoveries of genetic disorders affecting drug response to now understanding the effects of common gene variants, with the goal of personalized medicine to optimize drug therapy for each patient.
- The document discusses recent advances in the treatment of Parkinson's disease. It describes several new drug treatments including safinamide, istradefylline, and duodopa. Safinamide and istradefylline are FDA-approved as adjunctive treatments for Parkinson's patients experiencing "off" episodes. Duodopa is indicated for motor fluctuations. The document also discusses non-pharmacological treatments like deep brain stimulation and potential future therapies including gene therapy and stem cell transplantation. Overall, the treatment of Parkinson's disease continues to evolve with new targets and pathways being explored through various clinical trials to improve symptom management beyond levodopa.
This document discusses pharmacogenomics, which is the study of how genetic factors influence individual responses to drugs. It begins by defining pharmacogenomics and noting its relationship to pharmacogenetics. The document then provides background on the origins of pharmacogenomics and its promise for personalized medicine by optimizing drug therapy for each person's unique genetics. Several examples are given of pharmacogenomic tests that guide treatment decisions. The rest of the document outlines challenges and applications of pharmacogenomics, including improving drug safety and efficacy through predictive prescribing based on a person's metabolic status.
Genetic polymorphism in drug transport and drug targets.pavithra vinayak
This document discusses genetic polymorphisms in drug transporters and drug targets. It defines genetic polymorphisms as variations in gene sequences that occur in at least 1% of the general population. The most common type is a single nucleotide polymorphism (SNP) resulting from a change in a single nucleotide base pair. SNPs can be synonymous or non-synonymous, with non-synonymous SNPs potentially altering the protein's structure and function. The document outlines various drug transporters including P-glycoprotein and discusses genetic polymorphisms that can affect their expression and activity levels. It also discusses how genetic polymorphisms in drug metabolizing enzymes and drug receptors can influence drug response and side effects.
A Markov model is a mathematical modeling technique derived from matrix algebra that describes the transitions a cohort of patients make among a finite number of mutually exclusive and exhaustive health states over a series of short intervals or cycles. In a Markov model, patients are always in one of the defined health states and events are modeled as transitions between states. The contribution of utility to overall prognosis depends on the length of time spent in each health state. Transition probabilities are used to represent the likelihood of moving between states in each cycle. An example Markov model was provided to demonstrate these concepts.
This document discusses ligand-based drug design approaches. It defines ligand-based drug design as relying on knowledge of other molecules that bind to the biological target to derive a pharmacophore model or quantitative structure-activity relationship (QSAR) model. The most important method is pharmacophore modeling, which develops a model of interactions between ligands and the target receptor from the ligand perspective. Key ligand-based design approaches covered are pharmacophore modeling, QSAR, scaffold hoping, and pseudo receptors.
Genetic variation and its role in health pharmacologyDeepak Kumar
Genetic variation exists at different scales, from single nucleotide polymorphisms within individuals of a species to larger structural differences between species. Genetic variation arises through mutations, recombination, gene flow, genetic drift, and the interaction of these processes over time. The effective population size of a species influences how genetic variation is shaped by these evolutionary forces.
This document summarizes a seminar on pharmacogenomics presented by Mr. Madhan Mohan Elsani. Pharmacogenomics is the study of how genes influence individual responses to drugs. Understanding genetic variations between individuals can help explain differences in drug efficacy and risk of adverse reactions. Single nucleotide polymorphisms (SNPs) are variations in DNA sequences that can impact how the body processes and metabolizes drugs. Pharmacogenomic testing can help optimize drug selection and dosing for individual patients based on their genetic makeup. This could improve drug safety and reduce adverse reactions.
Dr Jeenal Mistry_Recent Advances in DM_8th Sept 2022.pptxDr Jeenal Mistry
The pharmacotherapy of DM has evolved tremendously in the last
100 years since the successful extraction of insulin in 1921. The efficacy of multiple drugs has been established for microvascular and
macrovascular outcomes. Despite manufacturing successful insulinanalogues, newer analogues such as icodec and newer automated
insulin delivery pumps are in the pipeline to further improve glycaemic
control. CVOTs were initiated to establish the safety of antidiabetics;
however, apart from establishing efficacy as well, some drugs have
grown to the extent of establishing efficacy and safety in nondiabetic
patients as well. Current research must be directed towards new therapeutic options for TIDM and evaluating efficacy of antidiabetics for
diseases concomitantly associated with DM, such as cerebrovascular
diseases, neuropathies, retinopathies and cancers. Diabetes with
COVID-19 provides a therapeutic dilemma for establishing adequate
glycaemic control as well as managing complications. Numerous
hypotheses exist for the management of COVID-19 with diabetics,
which need to be evaluated. Various new drug delivery systems and
drugs with novel mechanisms of action, are in the pipeline for the
management of TIDM and TIIDM, with some of them demonstrating
adequate promise in clinical trials or other diseases.
Precision Medicine: Opportunities and Challenges for Clinical TrialsMedpace
The momentum and muscle behind "finding the right drug for the right patient at the right dose" has further escalated with President Barack Obama’s announcement of a $215 million dollar Precision Medicine Initiative earlier this year. In this webinar, Dr. Frank Smith will explore advances in precision medicine and how it is affecting clinical research. As a pediatric hematologist/oncologist, he will use his extensive clinical and research background as a backdrop for the discussion.
Topics will include:
The evolution of "personalized medicine" to "precision medicine"
How state-of-the-art molecular biology is creating new diagnostic and prognostic strategies
How these new strategies are helping inform the design of clinical trials
Case study: How precision medicine is improving clinical trials in hematology and oncology
Pharmacogenomics is the study of how genes affect individual responses to drugs. It combines pharmacology and genomics to develop safe and effective personalized medications and dosages based on a person's genetic makeup. The goal is to improve treatment outcomes by predicting drug effectiveness and reducing adverse reactions. Challenges include implementing genetic tests in clinical practice and addressing cost, ethical and legal issues. Future applications include developing tailored drugs for many diseases and faster, more targeted clinical trials through biomarkers.
This document discusses personalized medicine and pharmacogenomics. It begins by noting that current drug treatment is only effective for 60% of patients, with 40% experiencing poor effects or no effect at all. It then introduces pharmacogenomics as the application of genomics to understand how genes influence individual responses to drugs. The document outlines several ways that pharmacogenomic research could improve drug development and clinical practice, such as identifying genetic variants that influence drug metabolism and toxicity. It envisions that in the future, pharmacogenomic testing may allow for "made-to-order" drugs tailored to a patient's genetic profile. However, it also notes some bioethical challenges will need to be addressed for personalized medicine to be realized.
Pharmacogenomics is the study of how an individual's genetic inheritance affects their response to drugs. It aims to develop personalized medicine by determining the "right dose of the right drug to the right person". Genetic variations can influence drug pharmacokinetics, pharmacodynamics, and disease mechanisms. Examples include CYP2C19 polymorphisms affecting clopidogrel metabolism and VKORC1/CYP2C9 variants influencing warfarin dosing. While pharmacogenomics holds promise for optimizing drug therapy, barriers include complexity in identifying clinically-relevant genetic factors and challenges in educating healthcare providers and patients.
This presentation gives complete in-depth information about therapeutic drug monitoring of DIGOXIN. Points covered are:
1. Basic pharmacokinetics
2. Target concentration levels
3. Dosage forms available and their bioavailability
4. Procedure to conduct TDM
5. The principle of DIGOXIN estimation
6. Interpretation of TDM results.
7. TDM algorithm
This document discusses pharmacogenetics and how genetic differences can influence drug response. It introduces key concepts like the human genome project, pharmacogenomic effects on drug metabolism and transport, and how genetic testing can help determine who will respond to or be toxic to specific drugs. The goal is to develop personalized medicine where a person's genetic makeup is used to optimize drug selection and dosing for safety and effectiveness.
This document discusses drug-drug-gene interactions (DDGIs) and their role in adverse drug reactions. It begins by introducing that genetic variation plays a crucial role in the development of adverse drug reactions. It then outlines the main categories of DDGIs: inhibitory interactions, induction interactions, and phenoconversion interactions. It provides examples of specific drug-gene interactions involving cytochrome P450 enzymes and drug transporters. The document discusses challenges in considering DDGIs in clinical practice and strategies to better incorporate pharmacogenomic information. It concludes by emphasizing the need for more research on DDGIs using large bioresource datasets.
Therapeutic drug monitoring (TDM) of drugs used in seizure disordersAbel C. Mathew
Therapeutic drug monitoring (TDM) of drugs used in seizure disorders- Phenytoin, Valproic acid, Carbamazepine are major drugs used in epilepsy disorders. These drug need TDM to ensure their proper usage.
GENETIC POLYMORPHISM IN DRUG METABOLISM.pptxAmeena Kadar
Genetic Polymorphism is one of the factors that affects the Drug metabolism. Cytochrome P - 450, one of the prominent group of metabolizing enzymes. In this ppt, genetic polymorphism of cytochrome p 450 is discussed.
This document summarizes the pharmacogenetics of warfarin, an anticoagulant drug with a narrow therapeutic index. Variants in the CYP2C9 and VKORC1 genes influence patients' warfarin dose requirements by affecting the drug's metabolism and mechanism of action. Studies show pharmacogenetic testing can identify patients who require lower or higher than average warfarin doses to achieve therapeutic anticoagulation more accurately than clinical algorithms alone. Further research is still needed, but pharmacogenetic testing may help improve warfarin dosing and reduce bleeding risks.
- Pharmacogenomics deals with how genetic variations influence individual responses to drugs in terms of efficacy and toxicity. It aims to identify individuals who are more or less likely to respond to drugs or require altered doses.
- Pharmacogenetics studies variations in targeted genes or related genes, while pharmacogenomics uses genetic information to guide individualized drug and dose choice.
- Genetic polymorphisms like SNPs can result in different amino acids, protein changes, or no effect. They influence drug metabolism and response.
- Pharmacogenomics offers advantages like personalized medicine but faces barriers like complexity, education needs, and drug company incentives. It is being applied in various stages of clinical trials from target identification to dosing.
This document provides an overview of pharmacogenetics and discusses:
1. Pharmacogenetics is the study of how genetic factors influence individual responses to drugs. It considers both environmental and genetic factors that impact drug metabolism and effects.
2. Key concepts include how genetic polymorphisms affect drug metabolizing enzymes and transporters, leading to variability in drug efficacy and risk of adverse reactions between individuals.
3. The field has progressed from early discoveries of genetic disorders affecting drug response to now understanding the effects of common gene variants, with the goal of personalized medicine to optimize drug therapy for each patient.
- The document discusses recent advances in the treatment of Parkinson's disease. It describes several new drug treatments including safinamide, istradefylline, and duodopa. Safinamide and istradefylline are FDA-approved as adjunctive treatments for Parkinson's patients experiencing "off" episodes. Duodopa is indicated for motor fluctuations. The document also discusses non-pharmacological treatments like deep brain stimulation and potential future therapies including gene therapy and stem cell transplantation. Overall, the treatment of Parkinson's disease continues to evolve with new targets and pathways being explored through various clinical trials to improve symptom management beyond levodopa.
This document discusses pharmacogenomics, which is the study of how genetic factors influence individual responses to drugs. It begins by defining pharmacogenomics and noting its relationship to pharmacogenetics. The document then provides background on the origins of pharmacogenomics and its promise for personalized medicine by optimizing drug therapy for each person's unique genetics. Several examples are given of pharmacogenomic tests that guide treatment decisions. The rest of the document outlines challenges and applications of pharmacogenomics, including improving drug safety and efficacy through predictive prescribing based on a person's metabolic status.
Genetic polymorphism in drug transport and drug targets.pavithra vinayak
This document discusses genetic polymorphisms in drug transporters and drug targets. It defines genetic polymorphisms as variations in gene sequences that occur in at least 1% of the general population. The most common type is a single nucleotide polymorphism (SNP) resulting from a change in a single nucleotide base pair. SNPs can be synonymous or non-synonymous, with non-synonymous SNPs potentially altering the protein's structure and function. The document outlines various drug transporters including P-glycoprotein and discusses genetic polymorphisms that can affect their expression and activity levels. It also discusses how genetic polymorphisms in drug metabolizing enzymes and drug receptors can influence drug response and side effects.
A Markov model is a mathematical modeling technique derived from matrix algebra that describes the transitions a cohort of patients make among a finite number of mutually exclusive and exhaustive health states over a series of short intervals or cycles. In a Markov model, patients are always in one of the defined health states and events are modeled as transitions between states. The contribution of utility to overall prognosis depends on the length of time spent in each health state. Transition probabilities are used to represent the likelihood of moving between states in each cycle. An example Markov model was provided to demonstrate these concepts.
This document discusses ligand-based drug design approaches. It defines ligand-based drug design as relying on knowledge of other molecules that bind to the biological target to derive a pharmacophore model or quantitative structure-activity relationship (QSAR) model. The most important method is pharmacophore modeling, which develops a model of interactions between ligands and the target receptor from the ligand perspective. Key ligand-based design approaches covered are pharmacophore modeling, QSAR, scaffold hoping, and pseudo receptors.
Genetic variation and its role in health pharmacologyDeepak Kumar
Genetic variation exists at different scales, from single nucleotide polymorphisms within individuals of a species to larger structural differences between species. Genetic variation arises through mutations, recombination, gene flow, genetic drift, and the interaction of these processes over time. The effective population size of a species influences how genetic variation is shaped by these evolutionary forces.
This document summarizes a seminar on pharmacogenomics presented by Mr. Madhan Mohan Elsani. Pharmacogenomics is the study of how genes influence individual responses to drugs. Understanding genetic variations between individuals can help explain differences in drug efficacy and risk of adverse reactions. Single nucleotide polymorphisms (SNPs) are variations in DNA sequences that can impact how the body processes and metabolizes drugs. Pharmacogenomic testing can help optimize drug selection and dosing for individual patients based on their genetic makeup. This could improve drug safety and reduce adverse reactions.
Dr Jeenal Mistry_Recent Advances in DM_8th Sept 2022.pptxDr Jeenal Mistry
The pharmacotherapy of DM has evolved tremendously in the last
100 years since the successful extraction of insulin in 1921. The efficacy of multiple drugs has been established for microvascular and
macrovascular outcomes. Despite manufacturing successful insulinanalogues, newer analogues such as icodec and newer automated
insulin delivery pumps are in the pipeline to further improve glycaemic
control. CVOTs were initiated to establish the safety of antidiabetics;
however, apart from establishing efficacy as well, some drugs have
grown to the extent of establishing efficacy and safety in nondiabetic
patients as well. Current research must be directed towards new therapeutic options for TIDM and evaluating efficacy of antidiabetics for
diseases concomitantly associated with DM, such as cerebrovascular
diseases, neuropathies, retinopathies and cancers. Diabetes with
COVID-19 provides a therapeutic dilemma for establishing adequate
glycaemic control as well as managing complications. Numerous
hypotheses exist for the management of COVID-19 with diabetics,
which need to be evaluated. Various new drug delivery systems and
drugs with novel mechanisms of action, are in the pipeline for the
management of TIDM and TIIDM, with some of them demonstrating
adequate promise in clinical trials or other diseases.
Precision Medicine: Opportunities and Challenges for Clinical TrialsMedpace
The momentum and muscle behind "finding the right drug for the right patient at the right dose" has further escalated with President Barack Obama’s announcement of a $215 million dollar Precision Medicine Initiative earlier this year. In this webinar, Dr. Frank Smith will explore advances in precision medicine and how it is affecting clinical research. As a pediatric hematologist/oncologist, he will use his extensive clinical and research background as a backdrop for the discussion.
Topics will include:
The evolution of "personalized medicine" to "precision medicine"
How state-of-the-art molecular biology is creating new diagnostic and prognostic strategies
How these new strategies are helping inform the design of clinical trials
Case study: How precision medicine is improving clinical trials in hematology and oncology
Pharmacogenomics is the study of how genes affect individual responses to drugs. It combines pharmacology and genomics to develop safe and effective personalized medications and dosages based on a person's genetic makeup. The goal is to improve treatment outcomes by predicting drug effectiveness and reducing adverse reactions. Challenges include implementing genetic tests in clinical practice and addressing cost, ethical and legal issues. Future applications include developing tailored drugs for many diseases and faster, more targeted clinical trials through biomarkers.
This document discusses personalized medicine and pharmacogenomics. It begins by noting that current drug treatment is only effective for 60% of patients, with 40% experiencing poor effects or no effect at all. It then introduces pharmacogenomics as the application of genomics to understand how genes influence individual responses to drugs. The document outlines several ways that pharmacogenomic research could improve drug development and clinical practice, such as identifying genetic variants that influence drug metabolism and toxicity. It envisions that in the future, pharmacogenomic testing may allow for "made-to-order" drugs tailored to a patient's genetic profile. However, it also notes some bioethical challenges will need to be addressed for personalized medicine to be realized.
Pharmacogenomics is the study of how an individual's genetic inheritance affects their response to drugs. It aims to develop personalized medicine by determining the "right dose of the right drug to the right person". Genetic variations can influence drug pharmacokinetics, pharmacodynamics, and disease mechanisms. Examples include CYP2C19 polymorphisms affecting clopidogrel metabolism and VKORC1/CYP2C9 variants influencing warfarin dosing. While pharmacogenomics holds promise for optimizing drug therapy, barriers include complexity in identifying clinically-relevant genetic factors and challenges in educating healthcare providers and patients.
This presentation gives complete in-depth information about therapeutic drug monitoring of DIGOXIN. Points covered are:
1. Basic pharmacokinetics
2. Target concentration levels
3. Dosage forms available and their bioavailability
4. Procedure to conduct TDM
5. The principle of DIGOXIN estimation
6. Interpretation of TDM results.
7. TDM algorithm
This document discusses pharmacogenetics and how genetic differences can influence drug response. It introduces key concepts like the human genome project, pharmacogenomic effects on drug metabolism and transport, and how genetic testing can help determine who will respond to or be toxic to specific drugs. The goal is to develop personalized medicine where a person's genetic makeup is used to optimize drug selection and dosing for safety and effectiveness.
This document discusses drug-drug-gene interactions (DDGIs) and their role in adverse drug reactions. It begins by introducing that genetic variation plays a crucial role in the development of adverse drug reactions. It then outlines the main categories of DDGIs: inhibitory interactions, induction interactions, and phenoconversion interactions. It provides examples of specific drug-gene interactions involving cytochrome P450 enzymes and drug transporters. The document discusses challenges in considering DDGIs in clinical practice and strategies to better incorporate pharmacogenomic information. It concludes by emphasizing the need for more research on DDGIs using large bioresource datasets.
Pharmacogenomics is the study of how genetic variations affect individual responses to drugs. It examines genomic loci and biological pathways to determine variability in drug metabolism and effects. Pharmacogenetics focuses on clinical effects of single gene variants. Pharmacogenomics can improve drug safety, efficacy and discovery by tailoring treatments based on a person's genetics. It allows optimization of drug metabolism and dosing based on an individual's genetic profile. Variations in genes that encode drug targets, metabolizing enzymes, transporters and those associated with adverse drug reactions can impact drug responses. Pharmacogenomics aims to incorporate genetic insights to develop safer and more effective precision medicines.
Genetic variations effects on some drug responsesAhmad K
Genetic variations can affect how individuals respond to common medications. The study examines how inherited traits influence drug metabolism and response for several drugs. For example, variations in CYP2C9 and VKORC1 genes impact warfarin dosing requirements and bleeding risk. CYP2C19 polymorphisms also influence the effectiveness of clopidogrel by affecting its conversion to active metabolites. Testing for genetic polymorphisms may help predict treatment outcomes and risk of side effects from certain medications.
This document discusses clopidogrel (Plavix) metabolism and response variability. It describes how CYP2C19 polymorphisms can affect clopidogrel's conversion to its active metabolite, leading to increased risk of therapeutic failure or adverse effects. It also discusses the drug interaction between clopidogrel and proton pump inhibitors like omeprazole, which inhibits CYP2C19 and reduces clopidogrel's efficacy through the same metabolic pathway. Healthcare providers should consider a patient's CYP2C19 genotype and avoid concurrent use of clopidogrel with omeprazole or other inhibitors when possible.
This document discusses how gene therapy can be used to treat cardiovascular diseases by replacing defective genes. It then focuses on three commonly prescribed cardiovascular drugs - statins, clopidogrel, and coumarin derivatives - and how patient responses to these drugs can vary due to genetic factors. Specifically, it describes genes like SLCO1B1, CYP2C19, CYP2C9, and VKORC1 that influence how effectively the body metabolizes and makes use of these drugs. Understanding a patient's genetic profile could allow doctors to select the most appropriate drug or dosage for that individual to maximize efficacy and safety.
This study examined whether genetic variants affecting the metabolism and activity of clopidogrel were associated with cardiovascular outcomes in patients taking clopidogrel after a myocardial infarction. The study found that variants in the ABCB1 and CYP2C19 genes were associated with increased risk of death, heart attack or stroke within one year. Carriers of two CYP2C19 loss-of-function alleles had nearly double the risk. The risk was highest in those who underwent stent placement and carried CYP2C19 variants. The results suggest genetic testing could help identify high-risk patients.
pharmacogenomics helps to improve healthcare sector by providing information about variability among genes for a particular class of drug hence reduces adverse drug reactions.
NON-ALCOHOLIC STEATOHEPATITIS (NASH): AN ANALYSIS OF DISEASE PREVALENCE, DRUG...MP ADVISORS
This report will provide detailed analysis on NASH disease and Drugs in development in broader pharma market. This report list all the drugs in clinical trial and their design and the population recruited, also tells about the pathways representing possible targets for the treatment of NASH
This study evaluated the implementation of a clinical algorithm that uses CYP2C19 genotype and clinical factors to guide selection of P2Y12 inhibitor antiplatelet therapy in high-risk patients undergoing percutaneous coronary intervention (PCI). The algorithm was retrospectively applied to 264 patients who received PCI. CYP2C19 genotype testing was performed in 86.7% of patients, of which 30% were found to have an intermediate or poor metabolizer genotype. Having an intermediate or poor metabolizer genotype was among the strongest predictors for selecting prasugrel or ticagrelor as the maintenance therapy. The findings suggest using CYP2C19 genotype to guide P2Y12 inhibitor selection in high-risk PCI patients is
This document discusses several potential drug-drug interactions involving various medications:
1. A woman taking simvastatin, diltiazem, aspirin is prescribed clarithromycin. Clarithromycin is a strong CYP3A4 inhibitor and may significantly increase simvastatin levels, increasing risk of side effects like rhabdomyolysis. The patient's simvastatin dose should not exceed 40 mg daily while taking clarithromycin.
2. Minocycline is unlikely to reduce the effectiveness of a low-dose combined oral contraceptive. Any interaction would be due to suppressed gut bacteria and is considered very rare.
3. A man's phenytoin levels increased after starting flu
This document discusses proton pump inhibitors (PPIs) and their interaction with the blood thinner clopidogrel. It notes that PPIs and clopidogrel are among the most commonly prescribed medications. Studies have shown that the PPI omeprazole can reduce the effectiveness of clopidogrel by inhibiting the enzyme CYP2C19 needed to activate clopidogrel. Regulatory agencies now warn against combined use of clopidogrel and omeprazole. Alternative PPIs like pantoprazole may be safer options, and future research is still needed.
This document discusses new-onset diabetes after transplantation (NODAT), which occurs in some patients after receiving a solid organ transplant. It defines NODAT and reviews its epidemiology and risk factors. The document outlines the pathogenesis and risk of NODAT associated with different immunosuppressive drugs. It also discusses the diagnosis, screening, and management of NODAT, including monitoring patients, treating hyperglycemia, and controlling cardiovascular risk factors. The document notes ongoing areas of uncertainty around preventing NODAT and determining the long-term impacts of improved glycemic control.
myPlatelet article PCI patients Ind Heart Journal April 2015Jugnu Jain
This study evaluated 200 patients undergoing percutaneous coronary intervention (PCI) who were prescribed antiplatelet medications like clopidogrel, prasugrel, or ticagrelor. The patients underwent testing to detect mutations in the CYP2C19 gene, which impacts clopidogrel metabolism, and a platelet reactivity assay to assess drug effectiveness. Based on the results, some patients had their antiplatelet therapy modified, such as increasing the clopidogrel dose or switching to prasugrel or ticagrelor for those with CYP2C19 mutations on clopidogrel. The study found 16.5% of patients had clopidogrel resistance due to CYP2C19 mutations
Exceltox Laboratories offers genetic and pharmacogenetic testing to help guide therapy decisions for cardiovascular diseases. Their testing panel examines factors that influence thrombosis risk, and metabolism of common cardiac drugs like platelet inhibitors, beta blockers, and warfarin. This includes testing for Factor II, Factor V Leiden mutations, and CYP450 enzyme variants involved in drug metabolism. Understanding a patient's genetic profile can help identify medication risks and optimize treatment by selecting the right drug and dosage.
A case study on essential dosage adjustment in chronic renal insufficiencySriramNagarajan16
Renal disease alters the effects of many drugs. Drug doses of certain drugs have to be appropriately adjusted depending upon
the degree of renal impairment. Drug dosing errors in patients with renal impairment are common and can lead to
accumulation and toxicity leading to adverse effects and poor outcomes. A case of a 72 years old male patient with chronic
renal failure with other co morbid disease states like systemic hypertension, diabetes mellitus, osteoporosis and peripheral
artery disease has been discussed. Laboratory data revealed both elevated serum creatinine and urea levels. On the day of
admission the patient was in end stage renal disease as his calculated GFR was 12ml/min. Modified Diet for Renal Disease
equation was used to calculate the GFR and dose adjustments were made accordingly. Drugs prescribed to the patients
included ceftriaxone 1 g, Pentoxifylline 400 mg, Tapendadol 50 mg, Levocarnitine 500 mg, Alprazolam 0.5 mg, Alpha
calcidiol 0.25 mg, Atorvastatin 20 mg, Cilostazol 50 mg, Tramadol 50 mg, Esomeprazole 40mg, Calcium 250 mg, A
systematic medication chart review revealed that pentoxyfylline is the drug of choice with altered dosing recommendations in
this patient. Therapeutic duplication in the form of using pentoxyfylline and cilostazole to treat peripheral vascular disease
was also noted. Alprazolam was started at a higher dose for the geriatric patient.
This document discusses diabetic kidney disease (DKD). It provides information on the epidemiology, clinical presentation, pathogenesis, standard of care, and pharmacological interventions to reduce cardiorenal risk in patients with type 2 diabetes. Regarding standard of care, it outlines glycemic and blood pressure targets, the use of RAAS inhibitors and statins, and glucose-lowering medications. It then discusses how SGLT2 inhibitors have shown benefits in reducing cardiovascular, renal, and heart failure outcomes as well as slowing kidney disease progression in patients with DKD and type 2 diabetes.
This document summarizes various drug transport mechanisms in cancer cells and their role in drug resistance and efficacy. It discusses uptake and efflux mechanisms, intracellular transport pathways, and how modulating these mechanisms through inhibitors can increase drug permeability in brain tumors and enhance treatment outcomes. Specific transporters and signaling pathways involved in determining permeability are also reviewed, along with their impact on drug response.
Pharmacogenetics is the study of influences of a gene on therapeutic and adverse effects of drugs.
Pharmacogenetics plays an important role in drug development and drug safety.
Similar to Pharmacogenetic considerations for cardiovascular drugs 26.03.2022.pptx (20)
The document discusses various clinical trial designs for first-in-human studies. It describes traditional 3+3 designs where dose escalation occurs in cohorts of 3 patients until the maximum tolerated dose is found. It also discusses model-based designs that use statistical models to estimate the dose-toxicity relationship and assign patients to doses. The document provides an overview of factors to consider in clinical trial protocols such as study size, population, dose escalation schemes, and objectives. It also summarizes single ascending dose and multiple ascending dose study designs.
This document discusses pragmatic clinical trials. It begins by defining pragmatic trials and explaining how they differ from explanatory trials. Pragmatic trials are designed to assess effectiveness of interventions in real-world settings, while explanatory trials test efficacy under controlled conditions. The document then introduces the PRECIS-2 tool, which is used to evaluate how pragmatic or explanatory a trial is based on 9 domains. It provides examples of pragmatic and explanatory approaches for each domain to help trial designers achieve the right balance. The goal is to generate evidence that is useful for patients, clinicians and policymakers.
This document provides information on pharmacokinetics, including key terms and concepts. It discusses volume of distribution, clearance, half-life, steady state, and loading/maintenance doses. Volume of distribution relates the amount of drug in the body to its concentration in blood or plasma. Clearance is the rate of drug elimination. Half-life is the time for a drug amount to reduce by half. Steady state is reached when the dosing rate equals the elimination rate. Loading doses are used to quickly reach the target concentration for drugs with long half-lives, while maintenance doses are repeated to maintain steady state. Therapeutic drug monitoring measures drug levels to adjust doses for each patient.
1. The document discusses various aspects of vaccine trials including definitions, the first documented vaccine trial conducted by Edward Jenner in 1796, historical developments in vaccine design, types of licensed vaccines, and the vaccine development process.
2. It provides details on the different phases of clinical trials for vaccines - phase I focuses on safety and immunogenicity in healthy adults, phase II assesses immunogenicity in the target population including age de-escalation studies, and phase III evaluates efficacy in the target population.
3. Accelerated vaccine development strategies are being used for COVID-19 vaccines, with some in clinical trials evaluating safety, immunogenicity, and the ability to elicit immune responses through different mechanisms of
As this herbicide poisoning is frequent with poor outcomes so its management needs to be discussed and awareness should be raised among farmers about its use and pre-hospital treatments.
Determination of anticonvulsant activity of drugs using animal modelsDr. Nipa Mendapara
This document discusses methods for determining the anticonvulsant activity of drugs using animal models. It begins by defining seizures and epilepsy according to the International League Against Epilepsy. It then describes several in vivo and in vitro animal models used in screening for new anticonvulsant drugs, including the maximal electroshock seizure test, chemically-induced seizure models using substances like pentylenetetrazol or pilocarpine, kindling models, and genetic models using epileptic-prone animals. The goal of these tests is to evaluate a drug's ability to prevent or reduce electrically or chemically induced seizure activity and elucidate new targets for developing improved antiepileptic treatments.
1. The document discusses drug receptors and signaling pathways. It defines receptors and their role in recognizing signal molecules to initiate a cellular response.
2. It describes two main types of receptors - extracellular/transmembrane receptors like G protein-coupled receptors and ion channel receptors, and intracellular/cytoplasmic receptors like nuclear receptors.
3. The key transmembrane signaling pathways discussed are the G protein pathway and its second messenger systems of cAMP, IP3/DAG, and ion channels. It also covers receptor enzyme pathways like receptor tyrosine kinases and Jak-STAT receptors.
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Promoting Wellbeing - Applied Social Psychology - Psychology SuperNotesPsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Cell Therapy Expansion and Challenges in Autoimmune DiseaseHealth Advances
There is increasing confidence that cell therapies will soon play a role in the treatment of autoimmune disorders, but the extent of this impact remains to be seen. Early readouts on autologous CAR-Ts in lupus are encouraging, but manufacturing and cost limitations are likely to restrict access to highly refractory patients. Allogeneic CAR-Ts have the potential to broaden access to earlier lines of treatment due to their inherent cost benefits, however they will need to demonstrate comparable or improved efficacy to established modalities.
In addition to infrastructure and capacity constraints, CAR-Ts face a very different risk-benefit dynamic in autoimmune compared to oncology, highlighting the need for tolerable therapies with low adverse event risk. CAR-NK and Treg-based therapies are also being developed in certain autoimmune disorders and may demonstrate favorable safety profiles. Several novel non-cell therapies such as bispecific antibodies, nanobodies, and RNAi drugs, may also offer future alternative competitive solutions with variable value propositions.
Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
Despite these headwinds, industry leaders and investors remain confident that cell therapies are poised to address significant unmet need in patients suffering from autoimmune disorders. However, the extent of this impact on the treatment landscape remains to be seen, as the industry rapidly approaches an inflection point.
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptxHolistified Wellness
We’re talking about Vedic Meditation, a form of meditation that has been around for at least 5,000 years. Back then, the people who lived in the Indus Valley, now known as India and Pakistan, practised meditation as a fundamental part of daily life. This knowledge that has given us yoga and Ayurveda, was known as Veda, hence the name Vedic. And though there are some written records, the practice has been passed down verbally from generation to generation.
Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
Basavarajeeyam is an important text for ayurvedic physician belonging to andhra pradehs. It is a popular compendium in various parts of our country as well as in andhra pradesh. The content of the text was presented in sanskrit and telugu language (Bilingual). One of the most famous book in ayurvedic pharmaceutics and therapeutics. This book contains 25 chapters called as prakaranas. Many rasaoushadis were explained, pioneer of dhatu druti, nadi pareeksha, mutra pareeksha etc. Belongs to the period of 15-16 century. New diseases like upadamsha, phiranga rogas are explained.
ABDOMINAL TRAUMA in pediatrics part one.drhasanrajab
Abdominal trauma in pediatrics refers to injuries or damage to the abdominal organs in children. It can occur due to various causes such as falls, motor vehicle accidents, sports-related injuries, and physical abuse. Children are more vulnerable to abdominal trauma due to their unique anatomical and physiological characteristics. Signs and symptoms include abdominal pain, tenderness, distension, vomiting, and signs of shock. Diagnosis involves physical examination, imaging studies, and laboratory tests. Management depends on the severity and may involve conservative treatment or surgical intervention. Prevention is crucial in reducing the incidence of abdominal trauma in children.
share - Lions, tigers, AI and health misinformation, oh my!.pptxTina Purnat
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Muktapishti is a traditional Ayurvedic preparation made from Shoditha Mukta (Purified Pearl), is believed to help regulate thyroid function and reduce symptoms of hyperthyroidism due to its cooling and balancing properties. Clinical evidence on its efficacy remains limited, necessitating further research to validate its therapeutic benefits.
2. Outline
• Introduction to pharmacogenetics
• Need for pharmacogenetic testing
• Example of cardiovascular drugs under pharmacogenetic considerations
1. Clopidogrel
2. Warfarin
3. Statins
4. Beta-blocker
5. Hydralazine
6. Anti-arrhythmics
• Benefits and limitations of pharmacogenetic study
2
3. Pharmacogenetics
• A field aimed at understanding the genetic contribution to inter-patient variability in
drug efficacy and toxicity
• “Pharmacogenetics” term used in reference to studies focusing on single gene’s
variability and it’s contribution to differences in drug response
• “Pharmacogenomics” term used to describe approaches that evaluate polymorphism
in numerous gene (or the genome) for their contribution to variable drug response
3
Jullie A, 2001
4. Single Nucleotide Polymorphism (SNP)
4
M.Roy et al., 2010
It’s a variation at a single position in a DNA sequence among individuals
5. Sequence variant nomenclature
Ex. Solute carrier organic anion transporter
(SLCO1B1) for statins encodes by SLCO1B1
c.521T>C (rs4149056)
• SLCOB1- gene
• “c” Reference sequence used (c for coding DNA)
• “521” Position of the nucleotide(s) affected
• “T>C” Change (a C changed to T)
• “rs4149056” rs ID, reference SNP ID number
5
https://varnomen.hgvs.org/bg-material/simple/
6. Allele star nomenclature
• Alleles : alternative forms of a gene
• Different alleles arise due to SNPs
Ex - CYP2C9*3
Star allele system to convey information for each variant
allele
• Fully functional reference allele is referred as *1
• Star alleles are numbered consecutively in order of
discovery irrespective of impact on function
• Thus, the *3 allele for any gene may represent 1 (or
sometimes >1) variant compared with the reference
and may or may not confer altered functional status of
the gene product
6
https://www.genome.gov/genetics-glossary/Recessive
CYP2C9*1/*1 CYP2C9*1/*3 CYP2C9*3/*3
7. It is divided into two broad area :
1. Polymorphism that alter drugs
pharmacokinetics (eg. metabolizing
enzymes, transporters)
2. Polymorphism that affects encoding
drug receptors and action of the
drug, independent of drug
concentration which alters drugs
pharmacodynamic
7
Roden DM, et al., 2018
Classification of Pharmacogenetics
9. 9
Jullie A, 2010
Examples of cardiovascular drugs with evidence of association between genetics and efficacy or toxicity
10. Levels of evidence for Gene - drug pair associations
CPIC(Clinical Pharmacogenetics Implementation Consortium) categorizes gene–drug
pairs
• Level- A Genetic information should be used to change prescribing of affected drug
• Level- B Genetic information could be used to change prescribing of the affected
drug because alternative therapies/dosing are extremely likely to be as effective and
as safe as non-genetically based dosing
• Level- C There are published studies at varying levels of evidence, some with
mechanistic rationale, but no prescribing actions are recommended
• Level- D There are few published studies, clinical actions are unclear, substantial
conflicting data. If the genes are not widely tested for clinically, evaluations are not
needed
Currently, 26 CPIC guidelines have been published, all for gene–drug pairs ranked as
level A
10
https://cpicpgx.org/prioritization-of-cpic-guidelines/
11. CPIC guidelines of cardiovascular drugs
11
GENE DRUG CURRENT CPIC LEVEL* STATUS
CYP2C19 Clopidogrel A Published
CYP2C9,VKORC1,
CYP4F2
Warfarin A Published
SLCO1B1 Statin A Published
NAT2 Hydralazine A/B -
CYP2D6 B-blockers (carvedilol,
metoprolol,
propranolol, timolol)
B/C In progress
CYP2D6 Antiarrhythmics
(quinidine, flecainide,
propafenone)
B -
12. ANTI PLATELET DRUGS
12
• Clopidogrel, ticagrelor or prasugrel are adenosine
diphosphate (ADP) antagonists that bind selectively to the
P2Y12 receptor to inhibit platelet function
• Standard of care with aspirin as (DAPT) in patients with
acute coronary syndromes (ACS) and following
percutaneous coronary intervention (PCI) to reduce the risk
of major adverse cardiovascular events
• Prasugrel and ticagrelor exhibit more prompt, potent and
consistent platelet inhibition compared with clopidogrel
but associated with higher rates of bleeding, and both have
higher cost and discontinuation rates than clopidogrel
Klein MD et al. 2019 ; Noé Corpataux, 2020
--CYP3A4, CYP2B6 &
CYP2C19 CYP3A4
--CYP2C19
13. Clopidogrel mechanism of action and metabolism
13
Duarte JD, 2021
CSE1- Carboxylesterase 1
PON1- Paraoxonase 1
14. 14
GENE GENETIC VARIANT PK/PD EFFECT RECOMMENDATION POPULATION
CYP2C19 Most common LOF are CYP2C19*2
(rs4244285, c.681G>A, splicing defect) &
CYP2C19*3 (rs4986893, c.636G>A,
premature stop codon
*3 are common among Asian
Less common LOF alleles include
CYP2C19*4, *5, *6, *7, and *8
*17 a/w increased enzyme function
PMs and IMs : lower
plasma concentrations
of the active
metabolite and
diminished inhibition of
platelet aggregation
PMs-Avoid clopidogrel if
possible. Consider an
alternative P2Y12 inhibitor
IMs - Consider an
alternative P2Y12 inhibitor
RMs or UMs- No
recommendation
IMs and PMs -≈30%
Similar in Africa,
Middle East, Europe,
US.
In Asian ≈57% and
Oceanian with 94%
population carrying a
LOF allele
CES1 Gly143Glu (rs71647871),
reduces CES1 activity
Increase exposure to
clopidogrel active
metabolites and
enhances antiplatelet
effects
---- ----
ABCB1
(P-gp)
C3435T in ABCB1 Reduced bioavailability
of clopidogrel but
have conflicting
evidence
----- ----
PON1 PON1 Q192R Glu (Q, wild type) to Argi (R,
variant) reduced PON1 activity
Early stent thrombosis
more frequent in
QQ192 compared with
QR192 and RR192
----- ----
CLOPIDOGREL
CPIC guidelines 2022
17. CLOPIDOGREL
• Clinical variables : Advanced age, BMI,
chronic kidney disease, and diabetes mellitus
are associated with high on-treatment
residual platelet aggregation
• In addition, use CYP2C19 inhibitors(proton
pump inhibitors )/inducers(Rifampicin) may
also affect clopidogrel response
• ABCD-GENE validated as a predictor of
cardiovascular events after PCI
• In patients with a high score, long-term oral
P2Y12 inhibitors other than clopidogrel
should be considered
17
Duarte JD, 2021 & Angiolillo DJ, 2020
18. Strategies for dual antiplatelet therapy after PCI
De-escalation of P2Y12 inhibitors:
• Unguided de-escalation
• Platelet function testing (PFT)-guided
de-escalation
• Genotype-guided de-escalation
(presence of the CYP2C19*2 and *3
allele)
18
Claassens DM,
2020
20. 20
GENE GENETIC VARIANT PK/PD EFFECT DOSE MODIFICATION POPULATION
CYP2C9 CYP2C9*2, *3, *5,
*6, *8 and *11 LOF
alleles
Reduce S-warfarin
(the more active
enantiomer)
metabolism
Dose reductions
requires
*2 and *3 alleles m/c
in European
*5, *6, *8 and *11
m/c in African
VKORC1 −1639 G>A,
(rs9923231)
Alters a transcription
factor binding site
and leads to lower
protein (VKORC1)
expression
Lower doses generally
observed in Asian
higher doses observed
in individuals of African
–1639 AA (highly
sensitive) in Asian
–1639 GG (highly
resistant)
in African
CYP4F2 *3 allele
(rs2108622) LOF
allele
Higher concentrations
of vitamin K1 being
available for
reduction to vitamin
K hydroquinone
higher warfarin dose
requirements
European and Asian
No association in
African
WARFARIN
CPIC 2017 update
22. Factors contributing to the interindividual variation in
warfarin maintenance dose requirements
International Warfarin
Pharmacogenetics Consortium (IWPC)
has developed Dosing algorithms
• It Includes genotype (VKORC1
−1639G>A, CYP2C9*2 and CYP2C9*3
alleles)
• Clinical variables that influence the
response to warfarin (for example,
age, height, weight and use of
CYP2C9 inhibitors (, miconazole)
amiodarone, fluconazole/CYP2C9
inducers(like Rifampicin,
carbamazepine)
22
Daniel E. Jonas, 2009
24. STATINS
First-line choice in Lipid-lowering therapy to reduce
cardiovascular risk
• More hydrophilic compounds require active transport into
the liver, are less metabolized by the cytochrome P450
(CYP) family, and exhibit more pronounced active renal
excretion
• ex. Rosuvastatin and Pitavastatin and Pravastatin,
• Less hydrophilic compounds are transported by passive
diffusion and are better substrates for both CYP enzymes
and transporters involved in biliary excretion
ex. Lovastatin, Fluvastatin, Simvastatin and Atorvastatin
Some of key genes that affect statin pharmacokinetics include
SLCO1B1, ABCG2, CYP3A4, HMGCR
24
• Solute carrier organic anion transporters
(SLCO’s)- influx transporter
• ATP-Binding Cassette Transporters (ABC
Transporters ) efflux transporter
Ahangari N et al., 2020
25. 25
GENE VARIANT DRUG PK/PD EFFECT RECOMMENDATION POPULATION
SLCO1B1 SLCO1B1*5 & *15
(rs4149056)
(c.521T>C)
decreased function
of transporter
Simvastatin,
followed by
Pitavastatin,
Lovastatin
Atorvastatin
Rosuvastatin
Increased exposure for most
statins
risk of SAMS(Statin-
associated muscle symptoms)
in CC genotype
Strong
Recommendations
based on this
variant’s effects on
PK and SAMS only
not LDL lowering
---
ABCG2 c.421C>A
(rs2231142)
decreased function
of transporter
Rosuvastatin
Atorvastatin,
Pitavastatin,
Fluvastatin
Lovastatin
Associated with increased
exposure to statin in poor
function phenotype (AA)
Weak to moderate
evidence
Higher levels
of
rosuvastatin
observed in
Asian
CYP3A4
&
CYP3A5
CYP3A4*1B &
CYP3A5*3
Atorvastatin Neither variant has been
shown to predict myopathy, it
predicts the severity of how
high the CK may go
Weak evidence
No
recommendations
-----
HMGCR rs17244841 A>T &
rs17238540 T>G
Various statins Reduce response to statin
(less reduction of LDL and TC)
No recommendation -----
STATINS
CPIC guidelines 2022
26. β-BLOCKERS
I. Metoprolol : Most extensively metabolized by CYP2D6
(70–80% of its metabolism)
II. Carvedilol, nebivolol, propranolol, and alprenolol :
Contribution of CYP2D6 is lower than for metoprolol
III. Atenolol : eliminated largely unchanged by glomerular
filtration, and their elimination is therefore independent of
CYP2D6 activity
• Evidence supporting the use of genetic information in
prescribing β-blockers is weak (CPIC level B/C)
• Three other genes have been studied in relation to β-blocker
response: ADRB1, ADRB2 and GRK5
26
Metoprolol and CYP2D6 genotype
Bijl MJ et al. 2009
27. 27
GENE GENETIC VARIANT PK/PD EFFECT CLINICAL OUTCOME
CYP2D6 • Functional alleles *1, *2
• m/c LOF CYP2D6*3,*4,*5,*6
• CYP2D6*4 is the most
common (>75% of PMs)
Poor metabolizers (PMs)
Extensive metabolizers (EMs)
Intermediate metabolizer (IMs)
Ultrarapid metabolizers (UMs)
PMs a/w increased plasma
concentration of drug, so
higher risk of bradycardia
ADRB1 encodes
β1-adrenergic
receptor
Ser49Gly (rs1801252) &
Arg389Gly (rs1801253)
Decrease receptor activity through
receptor downregulation and decreased
signal transduction, respectively.
Greater DBP response
Patients with the Ser49Ser and
Arg389Arg have a greater risk
reduction from β-blockers than
individuals with other
genotypes for indications
including heart failure, atrial
fibrillation and hypertension
ADRB2
β2-adrenergic
receptor
Arg16Gly (rs1042713) & Gln27Glu
(rs1042714)
Not associated with consistent finding.
Conflicting results
---
GRK5 G protein-
coupled receptor
kinase-5
Gln41Leu (rs2230345) Increases GRK5 function (intracellularly to
blunt signalling from the β1 and β2
receptors)
A/w reduced mortality in
patients with heart failure or
hypertension, regardless of β-
block
β-BLOCKERS
Bijl MJ et al. 2009 and Duarte JD, 2021
28. HYDRALAZINE
• It metabolized primarily by acetylation, which is mostly accomplished in the liver by
N-acetyltransferase type 2 (NAT2)
• Genetic variation in NAT2 has been associated with the acetylation rate of NAT2 in
humans
I. NAT2*4 the common allele Rapid acetylator
II. NAT2*5, *6 and *7 alleles Slow acetylator
III. With one of each allele (Ex. *4/*5 genotype) Intermediate acetylators
• It’s reported that in Patients with resistant hypertension, only slow acetylators had
notable blood-pressure reductions
• Indirect evidence suggests that slow acetylators might be at higher risk of developing
these lupus-like symptoms if exposed to hydralazine, but these data are far from
conclusive
• Therefore, slow acetylators might have the greatest antihypertensive response to
hydralazine, probably due to increased drug exposure
28
Duarte JD, 2021
29. ANTIARRHYTHMIC DRUGS
• Class IC : Flecainide and Propafenone undergo CYP2D6-mediated metabolism
• CPIC level B
• CYP2D6 variation seems to affect the pharmacokinetics of these drugs. Studies have
shown differences in QTc interval response with variations in the CYP2D6 genotype
• Propafenone is metabolized by CYP2D6, CYP3A4, and CYP1A2 enzymes
• FDA-approved labelling for propafenone warns that patients with a CYP2D6 deficiency or
(inhibition secondary to concomitant drug therapy/ CYP2D6 inhibitor ) when combined
with CYP3A4 inhibitor are at greater risk of increased propafenone exposure and
associated proarrhythmia or other adverse events
• No CPIC guidelines exist to address flecainide or propafenone, the DPWG recommends
reducing the flecainide and propafenone doses to 50% and 30% of the standard dose,
respectively, in CYP2D6 PMs
29
Duarte JD, 2021
30. Potential barriers to clinical implementation of pharmacogenetics
Knowledge barriers
• Lack of awareness of the pharmacogenetic data
• Uncertainty about how to interpret a pharmacogenetic test result
• Uncertainly about what action to take based on a pharmacogenetic test result
Logistical/financial barriers
• Remembering when to order a pharmacogenetic test in a busy clinical practice
• Turnaround time for pharmacogenetic test
• Cost of pharmacogenetic test
• Concerns about lack of reimbursement for pharmacogenetic test
Evidence barriers
• Lack of randomized controlled clinical trial data documenting benefit of pharmacogenetic
guided treatment approach
• “Genetic exceptionalism” for genetic and pharmacogenetic tests
30
Johnson JA, 2013
31. References :
• Klein MD, Williams AK, Lee CR, Stouffer GA. Clinical Utility of CYP2C19 Genotyping to Guide Antiplatelet Therapy in Patients With an Acute Coronary Syndrome or
Undergoing Percutaneous Coronary Intervention. Arterioscler Thromb Vasc Biol. 2019 Apr;39(4):647-652.
• Duarte JD, Cavallari LH. Pharmacogenetics to guide cardiovascular drug therapy. Nat Rev Cardiol. 2021 Sep;18(9):649-665.
• Roden DM, Van Driest SL, Wells QS, Mosley JD, Denny JC, Peterson JF. Opportunities and Challenges in Cardiovascular Pharmacogenomics: From Discovery to
Implementation. Circ Res. 2018 Apr 27;122(9):1176-1190.
• Bijl MJ, Visser LE, van Schaik RH, Kors JA, Witteman JC, Hofman A, Vulto AG, van Gelder T, Stricker BH. Genetic variation in the CYP2D6 gene is associated with a
lower heart rate and blood pressure in beta-blocker users. Clin Pharmacol Ther. 2009 Jan;85(1):45-50.
• Johnson JA, Cavallari LH. Pharmacogenetics and cardiovascular disease--implications for personalized medicine. Pharmacol Rev. 2013 May 17;65(3):987-1009.
• M.Roy , S.Biswas and S. Barman(Mandal) jan 2010
• Jullie A johnsons and Larissa M Humma. Pharmacogenetics of cardiovascular drugs. 2001
• Daniel E. Jonas. Genetic and clinical factors relating to warfarin dosing Genetic and clinical factors relating to warfarin dosing. Pharma sci.2009; Volume 30Issue
7p331-386
• Angiolillo DJ, Capodanno D, Danchin N, Simon T, Bergmeijer TO, Ten Berg JM, Sibbing D, Price MJ. Derivation, Validation, and Prognostic Utility of a Prediction Rule
for Nonresponse to Clopidogrel: The ABCD-GENE Score. JACC Cardiovasc Interv. 2020 Mar 9;13(5):606-617
• Ahangari N, Doosti M, Ghayour Mobarhan M, Sahebkar A, Ferns GA, Pasdar A. Personalised medicine in hypercholesterolaemia: the role of pharmacogenetics in
statin therapy. Ann Med. 2020 Dec;52(8):462-470.
• Claassens DM, Sibbing D. De-Escalation of Antiplatelet Treatment in Patients with Myocardial Infarction Who Underwent Percutaneous Coronary Intervention: A
Review of the Current Literature. J Clin Med. 2020 Sep 15;9(9):2983.
• Dan M. Roden et al. Cardiovascular Pharmacogenomics. Circulation research. 2011
31
coding or regulatory variation in VKORC1, encoding the warfarin target, is a key contributor to variability in warfarin response
DAPT –dual antiplatelet therapy
Polymorphisms in the genes encoding the CYP2C9, VKORC1 and CYP4F2 proteins can affect warfarin metabolism, sensitivity to warfarin and vitamin K availability, respectively, thereby influencing warfarin dose requirements and bleeding risk
A GWAS in a population with African ancestry revealed an additional variant near the CYP2C cluster on chromosome 10, rs12777823, associated with lower dose requirements for warfarin. This SNP is also correlated with reduced S-warfarin clearance
a“Dose clinically” means to dose without genetic information, which may include use of a clinical dosing algorithm or standard dose approach
bData strongest for European and East Asian ancestry populations and consistent in other populations.
c45-50% of individuals with self-reported African ancestry carry CYP2C9*5,*6,*8,*11, or rs12777823. IF CYP2C9*5, *6, *8, and *11 WERE NOT TESTED, DOSE WARFARIN CLINICALLY. Note: these data derive primarily from African Americans, who are largely from West Africa. It is unknown if the same associations are present for those from other parts of Africa.
dMost algorithms are developed for the target INR 2-3.
eConsider an alternative agent in individuals with genotypes associated with CYP2C9 poor metabolism (e.g., CYP2C9*3/*3, *2/*3, *3/*3) or both increased sensitivity (VKORC1 A/G or A/A) and CYP2C9 poor metabolism.
fSee the EU-PACT trial for pharmacogenetics-based warfarin initiation (loading) dose algorithm (33) with the caveat that the loading dose PG algorithm has not been specifically tested or validated in populations of African ancestry.
gLarger dose reduction might be needed in variant homozygotes (i.e. 20-40%).
hAfrican American refers to individuals mainly originating from West Africa.
Carvedilol, metoprolol, nebivolol, propranolol and timolol are primarily metabolized by the highly polymorphic CYP2D6 enzyme,, ADRB2 encodes the β2-adrenergic receptor, which is antagonized by non-selective β-blockers such as bucindolol, carvedilol, labetalol and propranolol
This highly conserved mechanism of rapid desensitization is mediated by activation-induced phosphorylation of the receptor protein followed by receptor interaction with cytoplasmic accessory proteins called beta-arrestins, which interfere with receptor–G-protein coupling and promote rapid endocytosis of receptor