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Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

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Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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Genetic polymorphisms in drug targets have emerged as critical determinants of interindividual variability in drug response and toxicity. Pharmacogenomic investigations increasingly focus on identifying these variations to personalize and optimize therapeutic interventions. A drug target may be a receptor, enzyme, or signaling protein involved in pharmacologic responses or disease-related pathways. While early pharmacogenetic studies focused primarily on drug metabolism, current research...
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Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
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Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
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Related Experiment Video

Updated: Apr 21, 2026

A Phenotyping Regimen for Genetically Modified Mice Used to Study Genes Implicated in Human Diseases of Aging
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Systematic Druggable Genome-Wide Analysis Identifies Therapeutic Targets for Aging: A Mendelian Randomization Study.

Yanfang Zhang1, Menglong Wang2,3, Hang Li1

  • 1Department of Geriatrics Zhongnan Hospital of Wuhan University Wuhan Hubei China.

Health Science Reports
|April 20, 2026
PubMed
Summary

Scientists identified five druggable genes, including ATP1B3, as potential targets for anti-aging therapies. This research may accelerate the development of new drugs to combat aging.

Keywords:
Mendelian randomizationagingcolocalization analysisdrug repurposingdruggable genesplasma proteinstelomere length

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Area of Science:

  • Genetics and Bioinformatics
  • Pharmacology
  • Aging Research

Background:

  • No effective drug treatments currently exist for aging.
  • Mendelian randomization (MR) is a powerful tool for drug repurposing and identifying therapeutic targets.
  • Aging presents a significant unmet medical need, driving the search for novel interventions.

Purpose of the Study:

  • To identify druggable genes associated with aging.
  • To evaluate potential adverse effects of targeting these genes.
  • To explore underlying mechanisms and identify actionable drugs for aging.

Main Methods:

  • Integrated druggable genome, cis-expression quantitative trait loci (eQTL), and genome-wide association study (GWAS) data.
  • Employed two-sample Mendelian randomization (MR) to analyze gene-aging relationships.
  • Conducted sensitivity analyses, Bayesian colocalization, phenome-wide MR (Phe-MR), and mediation MR for validation and mechanistic insights.

Main Results:

  • Identified five key druggable genes linked to aging: ATP1B3, VKORC1, SLC5A11, HNRNPA1, and SMN2.
  • Phenome-wide MR (Phe-MR) indicated no significant adverse effects associated with targeting these genes.
  • Mediation MR revealed ten plasma proteins involved in the gene-aging pathway, and identified cardiac glycosides, Bisacodyl, Olsalazine, and Tegoprazan as potential therapeutics targeting ATP1B3.

Conclusions:

  • ATP1B3, VKORC1, SLC5A11, HNRNPA1, and SMN2 represent promising targets for anti-aging drug development.
  • These findings provide a foundation for prioritizing therapeutic strategies against aging.
  • The study highlights potential drug repurposing opportunities for existing medications.