How can we realize the promise of personalized antidepressant medicines?
Abstract
Personalized medication that is based on pharmacogenetic data has long been expected to improve the efficacy of treatments for neurological and psychiatric disorders, including depression. However, the complexity of the regulation of gene transcription and its interactions with environmental factors means that straightforward translation of individual genetic information into tailored treatment is unlikely. Nevertheless, when data from genomics, proteomics, metabolomics, neuroimaging and neuroendocrinology are used in combination, they could lead to the development of effective personalized antidepressant treatment that is based on both genotypes and biomarkers. This process will require many further steps and collaboration between basic and clinical neuroscience.
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Although the problem of generalizability is smaller in psychotherapy research, and the efficacy of psychotherapies appears of similar magnitude between high- and low-/middle-income countries when tested in randomised trials, generalizability of research to practice needs attention in this area too.
“Although this problem is smaller in psychotherapy research, 589,590 and the efficacy of psychotherapies appears of similar magnitude between high- and low-/middle-income countries when they are tested in randomised trials, 585 generalizability of research to practice needs attention in this area too.”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [590]
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Integrative Biological Analysis For Neuropsychopharmacology
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Hypothalamic stress systems in mood disorders
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- Authors
- Holsboer, F.
- Affiliations
- Max Planck Institute of Psychiatry (DE)
- Corresponding author
- Holsboer, Florian
- Venue
- Nature Reviews Neuroscience
- Published
- 2008-07-16
- Volume
- 9
- Issue
- 8
- Pages
- 638-646
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W1963670337
- Cited by
- 177
- References
- 104
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2 · 2023: 1 · 2022: 5 · 2021: 1 · 2020: 7 · 2019: 9 · 2018: 11 · 2017: 6 · 2016: 6 · 2015: 12 · 2014: 3 · 2013: 17 · 2012: 17
- FWCI
- 2.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Max-Planck-Förderstiftung
- Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- personalized medicine, antidepressants, depression, pharmacogenetics, biomarkers, genomics, proteomics, metabolomics, neuroimaging, neuroendocrinology, gene-environment interaction, treatment efficacy, adverse drug reactions
- MeSH terms
- Antidepressive Agents, Brain Chemistry, Depressive Disorder, Genetic Markers, Genotype, Humans, Neurosciences, Genetic Variation, Drug Design, Genetic Predisposition to Disease, Interdisciplinary Communication
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