Evidence map›Paper›PMID 40212835›Full record

ArticleFrontiers in psychiatry2025

Estimating the incidence of actionable drug-gene interactions in Japanese patients with major depressive disorder.

Masakazu Hatano, Masashi Ikeda, Takeo Saito, Masami Miyata, Nakao Iwata, Shigeki Yamada

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Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Masakazu HatanoDepartment of Pharmacotherapeutics and Informatics, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Masashi IkedaDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Takeo SaitoDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Masami MiyataResearch Promotion Headquarters Development Office for Genomic Medical Research Center, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Nakao IwataDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Shigeki YamadaDepartment of Pharmacotherapeutics and Informatics, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although several guidelines provide dosing recommendations for antidepressants based on patients' genetic information, pharmacogenetic testing for antidepressant use is rarely routinely performed in Japan. To clarify the clinical impact of pharmacogenetic testing, this study estimated the potential drug-gene interactions for first-time antidepressant treatment in Japanese patients with major depressive disorder. Methods: This study retrospectively included Japanese patients who were registered for depressive episodes (F32, International Classification of Diseases, Tenth Revision) and initiated on antidepressants between July 2022 and March 2023. Antidepressant prescription rates were calculated using a nationwide hospital-based database (Medical Data Vision Co., Ltd). The incidence of actionable drug-gene interactions was estimated by multiplying the first-time prescription rate of each relevant antidepressant by the frequency of its corresponding actionable phenotype. Results: A total of 3,197 patients were included in the analysis. Escitalopram was the most frequently prescribed antidepressant (18.7%, n = 597), followed by mirtazapine (17.5%, n = 561), and sertraline (15.4%, n = 493). Of the patients receiving their first treatment of major depressive disorder, 56.5% (n = 1,807) were prescribed a drug with actionable pharmacogenetic implications, and 26.4% (n = 844) were estimated to have required actionable therapeutic recommendations. The highest incidence of actionable drug-gene interactions was observed in escitalopram and CYP2C19 pairs (12.4%, n = 398). For sertraline and CYP2C19 or CYP2B6 pairs, the incidence was 11.0% (n = 352). Among all antidepressants, paroxetine had the highest incidence of actionable drug-gene interactions related to CYP2D6 at 1.8% (n = 56); this interaction was rarely observed with other antidepressants (<1%). Conclusions: We estimated that one in four Japanese patients with major depressive disorder who were prescribed first-time antidepressants had actionable drug-gene interactions. These results suggest that pre-emptive pharmacogenetic testing in the treatment of major depressive disorder could have important clinical implications.

Indexed as

antidepressive agentsCYP2B6CYP2C19CYP2D6depressive disorderpharmacogenetics

Identifiers

PMID40212835
PMCPMC11983551

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