Which can Predict the Outcome of Antidepressants: Metabolic Genes or Pharmacodynamic Genes?
This study provides a comprehensive review of the literature on the clinical applications of pharmacogenomics for antidepressant therapy. The polymorphisms of metabolizing enzymes (CYP2D6, CYP2C19, and others) governing the pharmacokinetic behavior of drugs are potential predictors of side effects or treatment failure with medications and there are good pharmacogenetic clinical recommendations for a wide selection of psychopharmacological agents based on functional diplotypes of CYP2C19 and CYP2D6. The relationship between pharmacodynamic genes, including FKBP5, SLC6A4, BDNF, ABCB1, HTR1A, and HTR2A, and clinical outcomes ...
Source: Current Drug Metabolism - September 11, 2023 Category: Drugs & Pharmacology Authors: Nan Zheng Menxi Niu Yan-Nan Zang Hong Yan Zhuang Fei Jia Shuang Bao Shan-Shan Liu Source Type: research
Which can Predict the Outcome of Antidepressants: Metabolic Genes or Pharmacodynamic Genes?
This study provides a comprehensive review of the literature on the clinical applications of pharmacogenomics for antidepressant therapy. The polymorphisms of metabolizing enzymes (CYP2D6, CYP2C19, and others) governing the pharmacokinetic behavior of drugs are potential predictors of side effects or treatment failure with medications and there are good pharmacogenetic clinical recommendations for a wide selection of psychopharmacological agents based on functional diplotypes of CYP2C19 and CYP2D6. The relationship between pharmacodynamic genes, including FKBP5, SLC6A4, BDNF, ABCB1, HTR1A, and HTR2A, and clinical outcomes ...
Source: Current Drug Metabolism - September 11, 2023 Category: Drugs & Pharmacology Authors: Nan Zheng Menxi Niu Yan-Nan Zang Hong Yan Zhuang Fei Jia Shuang Bao Shan-Shan Liu Source Type: research
Which can Predict the Outcome of Antidepressants: Metabolic Genes or Pharmacodynamic Genes?
This study provides a comprehensive review of the literature on the clinical applications of pharmacogenomics for antidepressant therapy. The polymorphisms of metabolizing enzymes (CYP2D6, CYP2C19, and others) governing the pharmacokinetic behavior of drugs are potential predictors of side effects or treatment failure with medications and there are good pharmacogenetic clinical recommendations for a wide selection of psychopharmacological agents based on functional diplotypes of CYP2C19 and CYP2D6. The relationship between pharmacodynamic genes, including FKBP5, SLC6A4, BDNF, ABCB1, HTR1A, and HTR2A, and clinical outcomes ...
Source: Current Drug Metabolism - September 11, 2023 Category: Drugs & Pharmacology Authors: Nan Zheng Menxi Niu Yan-Nan Zang Hong Yan Zhuang Fei Jia Shuang Bao Shan-Shan Liu Source Type: research
Which can Predict the Outcome of Antidepressants: Metabolic Genes or Pharmacodynamic Genes?
This study provides a comprehensive review of the literature on the clinical applications of pharmacogenomics for antidepressant therapy. The polymorphisms of metabolizing enzymes (CYP2D6, CYP2C19, and others) governing the pharmacokinetic behavior of drugs are potential predictors of side effects or treatment failure with medications and there are good pharmacogenetic clinical recommendations for a wide selection of psychopharmacological agents based on functional diplotypes of CYP2C19 and CYP2D6. The relationship between pharmacodynamic genes, including FKBP5, SLC6A4, BDNF, ABCB1, HTR1A, and HTR2A, and clinical outcomes ...
Source: Current Drug Metabolism - September 11, 2023 Category: Drugs & Pharmacology Authors: Nan Zheng Menxi Niu Yan-Nan Zang Hong Yan Zhuang Fei Jia Shuang Bao Shan-Shan Liu Source Type: research
Novel Techniques and Models for Studying Drug Metabolism and Transport
Curr Drug Metab. 2023;24(3):150-151. doi: 10.2174/138920022403230706145440.NO ABSTRACTPMID:37638615 | DOI:10.2174/138920022403230706145440 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 28, 2023 Category: Drugs & Pharmacology Authors: Su Zeng Huichang Bi Eric Chun Yong Chan Source Type: research
Novel Techniques and Models for Studying Drug Metabolism and Transport
Curr Drug Metab. 2023;24(3):150-151. doi: 10.2174/138920022403230706145440.NO ABSTRACTPMID:37638615 | DOI:10.2174/138920022403230706145440 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 28, 2023 Category: Drugs & Pharmacology Authors: Su Zeng Huichang Bi Eric Chun Yong Chan Source Type: research
Novel Techniques and Models for Studying Drug Metabolism and Transport
Curr Drug Metab. 2023;24(3):150-151. doi: 10.2174/138920022403230706145440.NO ABSTRACTPMID:37638615 | DOI:10.2174/138920022403230706145440 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 28, 2023 Category: Drugs & Pharmacology Authors: Su Zeng Huichang Bi Eric Chun Yong Chan Source Type: research
Novel Techniques and Models for Studying Drug Metabolism and Transport
Curr Drug Metab. 2023;24(3):150-151. doi: 10.2174/138920022403230706145440.NO ABSTRACTPMID:37638615 | DOI:10.2174/138920022403230706145440 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 28, 2023 Category: Drugs & Pharmacology Authors: Su Zeng Huichang Bi Eric Chun Yong Chan Source Type: research
Novel Techniques and Models for Studying Drug Metabolism and Transport
Curr Drug Metab. 2023;24(3):150-151. doi: 10.2174/138920022403230706145440.NO ABSTRACTPMID:37638615 | DOI:10.2174/138920022403230706145440 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 28, 2023 Category: Drugs & Pharmacology Authors: Su Zeng Huichang Bi Eric Chun Yong Chan Source Type: research
Novel Techniques and Models for Studying Drug Metabolism and Transport
Curr Drug Metab. 2023;24(3):150-151. doi: 10.2174/138920022403230706145440.NO ABSTRACTPMID:37638615 | DOI:10.2174/138920022403230706145440 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 28, 2023 Category: Drugs & Pharmacology Authors: Su Zeng Huichang Bi Eric Chun Yong Chan Source Type: research
Novel Techniques and Models for Studying Drug Metabolism and Transport
Curr Drug Metab. 2023;24(3):150-151. doi: 10.2174/138920022403230706145440.NO ABSTRACTPMID:37638615 | DOI:10.2174/138920022403230706145440 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 28, 2023 Category: Drugs & Pharmacology Authors: Su Zeng Huichang Bi Eric Chun Yong Chan Source Type: research
Novel Techniques and Models for Studying Drug Metabolism and Transport
Curr Drug Metab. 2023;24(3):150-151. doi: 10.2174/138920022403230706145440.NO ABSTRACTPMID:37638615 | DOI:10.2174/138920022403230706145440 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 28, 2023 Category: Drugs & Pharmacology Authors: Su Zeng Huichang Bi Eric Chun Yong Chan Source Type: research
Novel Techniques and Models for Studying Drug Metabolism and Transport
Curr Drug Metab. 2023;24(3):150-151. doi: 10.2174/138920022403230706145440.NO ABSTRACTPMID:37638615 | DOI:10.2174/138920022403230706145440 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 28, 2023 Category: Drugs & Pharmacology Authors: Su Zeng Huichang Bi Eric Chun Yong Chan Source Type: research
Novel Techniques and Models for Studying Drug Metabolism and Transport
Curr Drug Metab. 2023;24(3):150-151. doi: 10.2174/138920022403230706145440.NO ABSTRACTPMID:37638615 | DOI:10.2174/138920022403230706145440 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 28, 2023 Category: Drugs & Pharmacology Authors: Su Zeng Huichang Bi Eric Chun Yong Chan Source Type: research
In vivo Metabolism of Nifurtimox and the Drug-Drug Interaction Potential Including its Major Metabolites
CONCLUSION: This contemporary analysis of the complex metabolite profile and associated exposures emerging after oral dosing of nifurtimox in rats and humans, together with the expected low risk for clinically relevant DDIs, expands the understanding of this important anti-trypanosomal drug.PMID:37592798 | DOI:10.2174/1389200224666230817114758 (Source: Current Drug Metabolism)
Source: Current Drug Metabolism - August 18, 2023 Category: Drugs & Pharmacology Authors: Simone I Schulz Dieter Lang Gabriele Schmuck Michael Gerisch Michaela Bairlein Robert Fricke Heino Stass Source Type: research
