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Meta-analysis of pharmacogenetic clinical decision support systems for the treatment of major depressive disorder

The Pharmacogenomics Journal (2022)Cite this article

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Abstract

The study aimed to conduct a meta-analysis of studies comparing pharmacogenetically guided dosing of antidepressants with empiric standard of care. Publications referring to genotype-guided antidepressant therapy were identified via PubMed, Google Scholar, Scopus, Web of Science, Embase, and Cochrane databases from the inception of the databases to 2021. In addition, bibliographies of all articles were manually searched for additional references not identified in primary searches. Studies comparing clinical outcomes between two groups of patients who received antidepressant treatment were included in meta-analysis. Analysis of the data revealed statistically significant differences between the experimental group receiving pharmacogenetically guided dosing and the empirically treated controls. Specifically, genotype-guided treatment significantly improved response and remission of patients after both eight and twelve weeks of therapy, whereas no effect on the development of adverse drug reactions was observed. This meta-analysis indicates that the use of preemptive genotyping to guide dosing of antidepressants might increase treatment efficacy.

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Fig. 1: Forest plot of meta-analyses of studies on therapy response data at week 8 of treatment.
Fig. 2: Forest plot of meta-analyses of studies on remission onset at week 8 of treatment.
Fig. 3: Forest plot of meta-analyses of studies on therapy response at week 12 of treatment.
Fig. 4: Forest plot of meta-analyses of studies on remission onset at week 12 of treatment.
Fig. 5: Forest plot of meta-analyses of studies on adverse drug reactions development at week 12 of treatment.

Data availability

The datasets generated during and/or analyzed during the preparation of the current meta-analysis, are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. Moscow Research and Practical Centre on Addictions of the Moscow Department of Healthcare, 37/1 Lyublinskaya street, 109390, Moscow, Russian Federation

    Valentin Skryabin, Ilya Rozochkin, Mikhail Zastrozhin & Evgeny Bryun

  2. Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, 2/1 Barrikadnaya street, 123995, Moscow, Russian Federation

    Valentin Skryabin, Mikhail Zastrozhin, Evgeny Bryun & Dmitry Sychev

  3. University of California, San Francisco, 1701 Divisadero St, San Francisco, CA, 94115, USA

    Mikhail Zastrozhin

  4. Karolinska Institutet, Solnavägen 1, 171 77, Solna, Sweden

    Volker Lauschke

  5. Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Auerbachstraße 112, 70376, Stuttgart, Germany

    Volker Lauschke

  6. University of Tuebingen, Geschwister-Scholl-Platz, 72074, Tuebingen, Germany

    Volker Lauschke

  7. Karolinska Institutet, Centre for Psychiatry Research, Norra Stationsgatan 69, 113 64, Stockholm, Sweden

    Johan Franck

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Contributions

VS: Conceptualization, Investigation, Data Curation, Writing—Original Draft, Writing-Review & Editing. IR: Conceptualization, Methodology, Validation, Investigation, Data Curation, Writing—Original Draft. MZ: Conceptualization, Formal Analysis, Writing—Original Draft, Visualization. VL: Conceptualization, Validation, Writing—Original Draft, Writing—Review & Editing. JF: Methodology, Writing—Original Draft, Supervision. EB: Writing—Review & Editing, Supervision. DS: Writing—Review & Editing, Supervision.

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Correspondence to Valentin Skryabin.

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VML is co is CEO and shareholder of HepaPredict AB, co-founder and shareholder of PersoMedix AB and discloses consultancy work for Enginzyme AB.

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Skryabin, V., Rozochkin, I., Zastrozhin, M. et al. Meta-analysis of pharmacogenetic clinical decision support systems for the treatment of major depressive disorder. Pharmacogenomics J (2022). https://doi.org/10.1038/s41397-022-00295-3

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