ReviewBritish journal of pharmacology2014
Identifying novel interventional strategies for psychiatric disorders: integrating genomics, 'enviromics' and gene-environment interactions in valid preclinical models.
Review in British journal of pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Pharmacological rescue of social deficits in rats featuring Disrupted-in-Schizophrenia-1 (DISC1) protein aggregation.Schizophrenia (Heidelberg, Germany) · 2026Article
- Phage-Microbiota Crosstalk: Implications for Central Nervous System Disorders.International journal of molecular sciences · 2025Review
- The pathobiology of depression in Huntington's disease: an unresolved puzzle.Journal of neural transmission (Vienna, Austria : 1996) · 2024Review
- Unraveling the Endocannabinoid System: Exploring Its Therapeutic Potential in Autism Spectrum Disorder.Neuromolecular medicine · 2024Review
- Expanding horizons of tandem repeats in biology and medicine: Why 'genomic dark matter' matters.Emerging topics in life sciences · 2023Article
- Chorea me a river: depression in Huntington's disease as an exemplar of precision medicine.Brain communications · 2022Article
- Differential impact of stress and environmental enrichment on corticolimbic circuits.Pharmacology, biochemistry, and behavior · 2020Review
- Transgenerational epigenetic influences of paternal environmental exposures on brain function and predisposition to psychiatric disorders.Molecular psychiatry · 2019Review
- An Overview of Animal Models Related to Schizophrenia.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2019Review
- Tandem repeats mediating genetic plasticity in health and disease.Nature reviews. Genetics · 2018Review
- Psychiatric behaviors associated with cytoskeletal defects in radial neuronal migration.Cellular and molecular life sciences : CMLS · 2017Review
- Transgenerational paternal transmission of acquired traits: Stress-induced modification of the sperm regulatory transcriptome and offspring phenotypes.Current opinion in behavioral sciences · 2017Article
- Different Paths to Core Pathology: The Equifinal Model of the Schizophrenia Syndrome.Schizophrenia bulletin · 2016Review
- The Role of Psychotropic Medications in the Management of Anorexia Nervosa: Rationale, Evidence and Future Prospects.CNS drugs · 2016Review
- Striatal Circuits as a Common Node for Autism Pathophysiology.Frontiers in neuroscience · 2016Review
- Animal models of gene-environment interaction in schizophrenia: A dimensional perspective.Progress in neurobiology · 2016Review
- Metagenomic Sequencing Indicates That the Oropharyngeal Phageome of Individuals With Schizophrenia Differs From That of Controls.Schizophrenia bulletin · 2015Article
- Found in translation? Commentary on a BJP themed issue about animal models in neuropsychiatry research.British journal of pharmacology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Psychiatric disorders affect a substantial proportion of the population worldwide. This high prevalence, combined with the chronicity of the disorders and the major social and economic impacts, creates a significant burden. As a result, an important priority is the development of novel and effective interventional strategies for reducing incidence rates and improving outcomes. This review explores the progress that has been made to date in establishing valid animal models of psychiatric disorders, while beginning to unravel the complex factors that may be contributing to the limitations of current methodological approaches. We propose some approaches for optimizing the validity of animal models and developing effective interventions. We use schizophrenia and autism spectrum disorders as examples of disorders for which development of valid preclinical models, and fully effective therapeutics, have proven particularly challenging. However, the conclusions have relevance to various other psychiatric conditions, including depression, anxiety and bipolar disorders. We address the key aspects of construct, face and predictive validity in animal models, incorporating genetic and environmental factors. Our understanding of psychiatric disorders is accelerating exponentially, revealing extraordinary levels of genetic complexity, heterogeneity and pleiotropy. The environmental factors contributing to individual, and multiple, disorders also exhibit breathtaking complexity, requiring systematic analysis to experimentally explore the environmental mediators and modulators which constitute the 'envirome' of each psychiatric disorder. Ultimately, genetic and environmental factors need to be integrated via animal models incorporating the spatiotemporal complexity of gene-environment interactions and experience-dependent plasticity, thus better recapitulating the dynamic nature of brain development, function and dysfunction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.