Pharmaceuticals· 2026Q1· Review
Beyond Genotype: Integrating Phenoconversion into Pharmacogenetic Decision-Making in Psychiatry
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- Q1SCImago
- 2026year
Short summary
Psychiatric drug response can be improved by integrating phenoconversion—the mismatch between predicted and actual drug metabolism—with genotype data, considering factors like drug interactions, smoking, and inflammation.
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Key points
- Genotype alone is insufficient to predict psychotropic drug response due to phenoconversion.
- Phenoconversion arises from drug-drug interactions, smoking, inflammation, and physiological changes altering drug metabolism.
- A dynamic framework combining pharmacogenetics with clinical factors (concomitant meds, lifestyle, TDM) can refine treatment.
- Integrating longitudinal clinical data with pharmacogenetics is crucial for individualized psychopharmacological treatment.
AI-generated from the title and abstract; the full text is not read.
Abstract
Interindividual variability in psychotropic drug response contributes to treatment failure, adverse drug reactions, and repeated medication adjustments. Pharmacogenetics supports precision prescribing by identifying genetic variants associated with drug metabolism, efficacy, and tolerability, and evidence-based recommendations are available for several psychotropic medications. However, genotype predicts metabolic capacity rather than the enzyme activity actually expressed in vivo or the systemic drug exposure achieved at a given time. This narrative review examines phenoconversion, the mismatch between genotype-predicted and observed metabolic phenotype, and its implications for psychiatric pharmacotherapy. Drug–drug interactions, smoking, inflammation, physiological changes, and disease-related factors can modify drug-metabolizing enzyme activity or otherwise alter systemic drug exposure despite an unchanged genotype. We discuss how these influences can limit the applicability of genotype-based dosing recommendations and propose a dynamic framework integrating pharmacogenetic results with concomitant medications, clinical conditions, lifestyle factors, therapeutic drug monitoring, and longitudinal changes in patient status. This framework may also refine the assessment of treatment adequacy, because prescribed dose, duration, and adherence do not necessarily ensure adequate drug exposure. Future clinical decision-support systems should combine pharmacogenetic and longitudinal clinical data to enable more individualized and dynamically informed psychopharmacological treatment.
The authors' abstract, as published at the source. Pharmaceuticals, 2026 · DOI ↗
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Field: Pharmacology (Pharmacology, Toxicology and Pharmaceutics)
PharmacologyPharmacology, Toxicology and Pharmaceutics