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Journal articles on the topic 'Translational psychiatry'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

Chauhan, Vinay Singh, and Markanday Sharma. "Translational research in psychiatry." Industrial Psychiatry Journal 33, Suppl 1 (2024): S233—S235. http://dx.doi.org/10.4103/ipj.ipj_67_24.

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Translational research in psychiatry bridges the gap between basic scientific discoveries and clinical applications, aiming to improve the diagnosis, treatment, and prevention of mental illnesses. By elucidating the neurobiological mechanisms underlying psychiatric disorders through neuroimaging, genetics, and animal models, researchers can identify novel therapeutic targets and biomarkers for personalized interventions. This brief communication provides an overview of the importance, approaches, and a few examples of translation psychiatry research and challenges. Moving forward, collaboration between researchers, clinicians, industry partners, and regulatory agencies is essential to address the unmet needs of individuals affected by mental illness and to realize the full potential of translational psychiatry.

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Kirolos, Eskandar. "From Theory to Practice: Bridging the Gap in Translational Psychiatry Research." World Journal of Health and Medicine 1, no. 1 (2023): 29–40. https://doi.org/10.5281/zenodo.8308836.

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Abstract According to the World Health Organization, psychiatric disorders affect a significant portion of the global population, with an estimated one in four individuals experiencing a mental health condition at some point in their lives. In light of this pressing need, this comprehensive literature review delves into the field of translational psychiatry, examining the challenges, advancements, and future directions in bridging the gap between theoretical knowledge and practical application. It explores various subtopics, including neurobiological research, biomarkers, interventions, precision psychiatry, implementation science, and ethical considerations, to shed light on the progress and limitations in translating fundamental insights into innovative diagnostic tools, novel treatments, and personalized approaches for psychiatric disorders. By critically analyzing recent research findings, this review aims to provide valuable insights and recommendations to accelerate the translation of research findings into effective clinical interventions, ultimately striving to improve mental healthcare delivery and outcomes for individuals affected by psychiatric disorders. Keywords: Translational psychiatry; Research-to-practice gap; Biomarkers; Precision psychiatry; Implementation science

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Thome, Johannes. "Conceptualising molecular psychiatry and translational psychiatry." World Journal of Biological Psychiatry 12, sup1 (2011): 3–5. http://dx.doi.org/10.3109/15622975.2011.602213.

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Sawa, Akira. "Translational neuroscience in psychiatry." Schizophrenia Research 160, no. 1-3 (2014): e10. http://dx.doi.org/10.1016/j.schres.2014.09.075.

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Weissman, Myrna M., Alan S. Brown, and Ardesheer Talati. "Translational Epidemiology in Psychiatry." Archives of General Psychiatry 68, no. 6 (2011): 600. http://dx.doi.org/10.1001/archgenpsychiatry.2011.47.

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Hall, Jeremy, and Mandy Johnstone. "EMERGING TECHNOLOGIES IN TRANSLATIONAL PSYCHIATRY." European Neuropsychopharmacology 29 (2019): S1021. http://dx.doi.org/10.1016/j.euroneuro.2018.07.003.

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Schellekens, A. "Translational perspectives in addiction psychiatry." European Psychiatry 33, S1 (2016): S60. http://dx.doi.org/10.1016/j.eurpsy.2016.01.946.

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BackgroundHeritable factors account for approximately 50–60% of the risk for alcohol dependence. However, which genes confer this risk remains to elucidate. Moreover, genetic association studies are hampered by non-replication. Several strategies can be applied to approach this issue. One option is the application of intermediate phenotypes. Neurobiological measures that are closely related to the addiction phenotype may be more directly related to genetic variation. Intermediate phenotypes related to dopamine function seem particularly suitable, given the strong dopamine hypothesis in addiction. Another strategy is to include environmental factors, such as childhood adverse experience, in genetic association studies. We tested the effect of COMT Val158Met and DRD2 Taq1A genotypes, as modulators of brain dopamine function in the context of self-reported environmental factors, like childhood adverse experience.MethodsAlcohol-dependent patients (n = 110) and healthy controls (n = 99) were genotyped for the COMT Val158Met and DRD2 Taq1A genotypes. Childhood adversity was measured using self-report questionnaires. Dopamine sensitivity was assessed using an apomorphine challenge with cognitive performance and plasma growth hormone levels as main outcome measures.ResultsCOMT genotype modulated the effect of apomorphine on cognitive performance, but was not directly associated with alcohol dependence. Yet, the interaction between childhood adversity and COMT genotype did predict alcohol dependence. DRD2 genotype modulated the effect of apomorphine on plasma growth hormone levels and was also not directly associated with alcohol dependence. Yet, the interaction between parental rule setting and DRD2 genotype did predict alcohol use in a separate population-based sample of adolescents.ConclusionThis study provides evidence for a role of COMT and DRD2 genotypes in alcohol dependence using both the GxE and intermediate phenotype approach. This confirms that both an intermediate phenotype approach and GxE interaction analyses can be useful tools in understanding mechanisms mediating addiction vulnerability. The clinical relevance of dopamine genes and intermediate phenotypes for staging and profiling of alcohol use disorders remains to be investigated.Disclosure of interestThe author has not supplied his declaration of competing interest.

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Nestler, Eric. "Promoting Translational Approaches in Psychiatry." Biological Psychiatry 95, no. 10 (2024): S1. http://dx.doi.org/10.1016/j.biopsych.2024.02.008.

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Raphael, B. "IS11 Translational Psychiatry: Translating Disaster Psychiatry Research into Practice." Asian Journal of Psychiatry 4 (July 2011): S6. http://dx.doi.org/10.1016/s1876-2018(11)60025-7.

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Uhlhaas, Peter J., Tineke Grent-'t-Jong, and Joachim Gross. "Magnetoencephalography and Translational Neuroscience in Psychiatry." JAMA Psychiatry 75, no. 9 (2018): 969. http://dx.doi.org/10.1001/jamapsychiatry.2018.0775.

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Honer, W. G. "A translational medicine approach to molecular psychiatry." Die Psychiatrie 9, no. 01 (2012): 25–30. http://dx.doi.org/10.1055/s-0038-1671756.

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SummaryThe place of molecular medicine in psychiatry is rapidly evolving. Research findings appear with great frequency, but the integration and impact of molecular research into the clinical practice of psychiatry is negligible. The present paper uses a translational medicine framework to provide a critical review of the possibilities for molecular medicine in psychiatry, focused on schizophrenia as an example illness.

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Pike, Alexandra C., Millie Lowther, and Oliver J. Robinson. "The Importance of Common Currency Tasks in Translational Psychiatry." Current Behavioral Neuroscience Reports 8, no. 1 (2021): 1–10. http://dx.doi.org/10.1007/s40473-021-00225-w.

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Abstract Purpose of Review Common currency tasks are tasks that investigate the same phenomenon in different species. In this review, we discuss how to ensure the translational validity of common currency tasks, summarise their benefits, present recent research in this area and offer future directions and recommendations. Recent Findings We discuss the strengths and limitations of three specific examples where common currency tasks have added to our understanding of psychiatric constructs—affective bias, reversal learning and goal-based decision making. Summary Overall, common currency tasks offer the potential to improve drug discovery in psychiatry. We recommend that researchers prioritise construct validity above face validity when designing common currency tasks and suggest that the evidence for construct validity is summarised in papers presenting research in this area.

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Marková, Ivana S. "Translational neuroscience and psychiatry: A conceptual analysis." Journal of Evaluation in Clinical Practice 24, no. 4 (2018): 791–96. http://dx.doi.org/10.1111/jep.12914.

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Keck, Martin E., Nils Kappelmann, and Johannes Kopf-Beck. "Translational research as prerequisite for personalized psychiatry." European Archives of Psychiatry and Clinical Neuroscience 268, no. 3 (2018): 215–17. http://dx.doi.org/10.1007/s00406-018-0885-3.

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Post, Robert M., and Trevor Young. "Translational research in psychiatry: new developments in Brazil." Revista Brasileira de Psiquiatria 31, no. 3 (2009): 200–201. http://dx.doi.org/10.1590/s1516-44462009000300003.

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Kalueff, Allan V., and Adam Michael Stewart. "Modeling neuropsychiatric spectra to empower translational biological psychiatry." Behavioural Brain Research 276 (January 2015): 1–7. http://dx.doi.org/10.1016/j.bbr.2014.01.038.

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Glas, Gerrit. "Translatie als filosofisch programma." Algemeen Nederlands Tijdschrift voor Wijsbegeerte 111, no. 3 (2019): 453–76. http://dx.doi.org/10.5117/antw2019.3.009.glas.

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Abstract Translation as philosophical program: An explorative reviewWhat does the concept of translation mean in the expression ‘translational neuroscience’? What are the different steps, or components, in the translation of neuroscientific findings to psychiatry? There are serious concerns about the validity and productivity of the traditional idea of a translational pipeline, starting in the fundamental sciences (chemistry, molecular and cellular biology) and ending in the practice of clinical medicine, including psychiatry. The article defends the thesis that the difficulties in the traditional approach result, at least partially, from insufficient reflection on the philosophical premises upon which the concept of translation is based. The linear pipeline model is strongly determined by the traditional biomedical approach to disease. The translation crisis signifies some of the limitations of this approach, especially in the realm of clinical practice and patient experience. The biomedical model suggests that illness manifestations should be conceived as causally determined expressions of an underlying biological derailment or dysfunction. This model lacks the language and conceptual tools to address the role of contextual and person-bound factors in the manifestation of illness. It is only recently that personalized and context-sensitive approaches to psychopathology have gained scientific attention. In the wake of this conceptual and practical reform, network-like approaches to translation have emerged. These network approaches are based on a different conception of transdisciplinarity. They address all stakeholders, by asking them what kind of translation they need. Stakeholders are not only scientists and clinicians, but also patient- and family support groups; and parties that are responsible for the institutional embedding, the financial and logistic infrastructure, and the legal frameworks that support psychiatric care. It is the interaction between science (as producer of knowledge) and the contexts that are supposed to benefit from this knowledge, that should be put at the centre of conceptual reflection. The degree and fruitfulness of this interaction will be decisive for the future of both psychiatry and clinical neuroscience. Philosophy can play an important role in this interaction, by making explicit underlying logical and practical tensions and ambiguities in this interaction.

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Caldieraro, Marco Antonio. "The future of psychiatric research." Trends in Psychiatry and Psychotherapy 38, no. 4 (2016): 185–89. http://dx.doi.org/10.1590/2237-6089-2016-0046.

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Abstract Psychiatric disorders place considerable burden on individuals and on public health. Funding for research in psychiatry is less than ideal, but even so high quality research is being conducted at many centers. However, these studies have not impacted clinical practice as much as expected. The complexity of psychiatric disorders is one of the reasons why we face difficulties in translating research results to patient care. New technologies and improved methodologies are now available and must be incorporated to deal with this complexity and to accelerate the translational process. I discuss the application of modern techniques for data acquisition and analysis and also the new possibilities for performing trials in virtual models of biological systems. Adoption of new technologies is necessary, but will not reduce the importance of some of the fundamentals of all psychiatry research, such as the developmental and translational perspectives. Psychiatrists wishing to integrate these novelties into their research will need to work with contributors with whom they are unaccustomed to working, such as computer experts, a multidisciplinary team, and stakeholders such as patients and caregivers. This process will allow us to further understand and alleviate the suffering and impairment of people with psychiatric disorders.

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Kwok, Ho Ling, Sara Laviosa, and Kanglong Liu. "Lexical simplification in learner translation: A corpus-based approach." Corpus-based Translation Studies (CBTS) 11, no. 2 (2023): 103–24. http://dx.doi.org/10.32714/ricl.11.02.06.

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The advance of corpus-based methodology in translation studies has greatly enhanced our understanding of the nature of translational language. While most research efforts have focused on identifying the unique features of translations carried out by professionals, comparatively fewer studies have investigated the linguistic features of student translations. In this corpus-based study, we examine if learner translations carried out by Hong Kong students exhibit lexical simplification features vis-à-vis comparable written texts. The study is based on two comparable corpora: the International Corpus of English in Hong Kong (ICE-HK) and the Parallel Learner Translation Corpus (PLTC) compiled at The Hong Kong Polytechnic University. Following Laviosa (1998), we compare four main lexical features (lexical density, type-token ratio, core vocabulary coverage, and list head coverage) to investigate if student translations show a simplification trend. The results demonstrate that Chinese-to-English translation is not lexically simpler than English as a Second Language (ESL) writing. Furthermore, it is lexically denser than ESL writing. Our study aims to provide new insights into learner translation as a form of constrained communication.

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Jones, Kenneth A., Frank S. Menniti, and Digavalli V. Sivarao. "Translational psychiatry-light at the end of the tunnel." Annals of the New York Academy of Sciences 1344, no. 1 (2015): 1–11. http://dx.doi.org/10.1111/nyas.12725.

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Agarwal, Sri Mahavir, and Ganesan Venkatasubramanian. "The relevance of translational neuroscience in psychiatry residency training." Asian Journal of Psychiatry 17 (October 2015): 131–32. http://dx.doi.org/10.1016/j.ajp.2015.08.015.

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Guimarães, Francisco. "CANNABIDIOL IN PSYCHIATRY: HALF-A-CENTURY OF TRANSLATIONAL RESEARCH." IBRO Neuroscience Reports 15 (October 2023): S1—S2. http://dx.doi.org/10.1016/j.ibneur.2023.08.2036.

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23

Young, Allan H. "Translational psychopharmacology." Journal of Psychopharmacology 35, no. 10 (2021): 1167–68. http://dx.doi.org/10.1177/02698811211053207.

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Hina, S. "Translational inhibitors as potential therapeutic tool of human neuroblastoma through mitochondrial gene expression." European Psychiatry 41, S1 (2017): S464. http://dx.doi.org/10.1016/j.eurpsy.2017.01.517.

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Neuroblastoma is a solid neuroendocrine tumour and most common type of cancer of infancy. It is a complex heterogeneous disease and many factors such as molecular, cellular and genetic features are involved in its development. Mitochondria play a pivotal role in neuronal cell survival or death. Neurons are highly reliant on aerobic oxidative phosphorylation (OXPHOS) for their energy needs. Defective activities of mitochondrial complexes I, II, III and IV have been identified in many neurological and neurodegenerative diseases. Human mitochondria with its own genetic material meet the needs required for the assembly of subunits of the oxidative phosphorylation (OXPHOS) complexes. A number of translational inhibitors are known that could potentially effect translation of mitochondrial protein synthesis. Among these puromycin, homoharringtonine and cyclohexamide were selected for the present study. The effect of these translational inhibitors on mitochondrial gene expression for the treatment of neuroblastoma are not well established. Therefore, in this study, we have investigated the effects of these translational inhibitors on the expression of human mitochondrial gene expression in SH-SY5Y neuroblastoma cells.We observed a significant effect on the level of mitochondrial transcripts upon exposure to these translation inhibitors in SH-SY5Y cells, however, the effects on expression of mitochondrial proteins were minimal. This suggests that translational inhibitors might not directly affect the abundance of mitochondrial proteins. Translational inhibitors induce significant effect on mitochondrial gene expression that can be lead to the new-targeted therapy for treating neuroblastoma.

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Hugdahl, Kenneth. "Auditory Hallucinations as Translational Psychiatry: Evidence from Magnetic Resonance Imaging." Balkan Medical Journal 34, no. 6 (2017): 504–13. http://dx.doi.org/10.4274/balkanmedj.2017.1226.

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Davatzikos, Christos, and Theodore D. Satterthwaite. "Commentary to “Translational machine learning for child and adolescent psychiatry”." Journal of Child Psychology and Psychiatry 63, no. 4 (2022): 444–46. http://dx.doi.org/10.1111/jcpp.13593.

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Licinio, J., and M.-L. Wong. "Translational research in psychiatry: pitfalls and opportunities for career development." Molecular Psychiatry 9, no. 2 (2004): 117. http://dx.doi.org/10.1038/sj.mp.4001479.

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Vilar, Ana, Víctor Pérez-Sola, María Jesús Blasco, et al. "Translational research in psychiatry: The Research Domain Criteria Project (RDoC)." Revista de Psiquiatría y Salud Mental (English Edition) 12, no. 3 (2019): 187–95. http://dx.doi.org/10.1016/j.rpsmen.2018.04.002.

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Padberg, F. "T034 Transcranial brain stimulation in psychiatry – translational research towards treatment?" Clinical Neurophysiology 128, no. 3 (2017): e11. http://dx.doi.org/10.1016/j.clinph.2016.10.132.

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Casanova, Manuel F., Estate M. Sokhadze, Emily L. Casanova, et al. "Translational Neuroscience in Autism." Psychiatric Clinics of North America 43, no. 2 (2020): 229–48. http://dx.doi.org/10.1016/j.psc.2020.02.004.

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Braff, Lara, and David L. Braff. "The Neuropsychiatric Translational Revolution." JAMA Psychiatry 70, no. 8 (2013): 777. http://dx.doi.org/10.1001/jamapsychiatry.2013.2184.

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Tanaka, Masaru, Simone Battaglia, Lydia Giménez-Llort, et al. "Innovation at the Intersection: Emerging Translational Research in Neurology and Psychiatry." Cells 13, no. 10 (2024): 790. http://dx.doi.org/10.3390/cells13100790.

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Petrova, N. N. "Modern Psychiatry: from Theory to Practice." Personalized Psychiatry and Neurology 4, no. 4 (2024): 11–25. https://doi.org/10.52667/2712-9179-2024-4-4-11-25.

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In this review scientific papers published on eLibrary, PubMed, Google Scholar were searched and analyzed for all time till 2024 year on the problem of neuropsychiatry, translational neuro-science, biomarkers. The issues of precision psychiatry and targeted therapy of mental disorders are considered. The ways of bridging the gap between theoretical and practical (clinical) psychiatry are discussed.

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Możaryn, *Jakub Filip, and Anna Rebeka Szczegielniak. "COMPUTATIONAL PSYCHIATRY: A BRIDGE BETWEEN TRANSLATION AND PRECISION." International Journal of Neuropsychopharmacology 28, Supplement_1 (2025): i276—i277. https://doi.org/10.1093/ijnp/pyae059.489.

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Abstract Background Current classifications of neuropsychiatric disorders are primarily based on qualitative groupings of well-defined symptoms, whereas a change in the diagnostic framework is needed. The goal of precision psychiatry is to provide a personalized and tailored approach to prevention, diagnosis, and treatment for better individual outcomes. It is based on multiple data domains such as unique symptom expression, genetics, cognition, neuroimaging, and psychosocial factors to identify different clinical phenotypes and individual biotypes among patients. It also requires a translational approach to the underlying neurobiological mechanisms and the identification of reliable biomarkers. Computational psychiatry seems to be an essential tool to connect these two fields. Aims & Objectives The study aims to highlight the place of computational psychiatry in modern mental health care and the challenges associated with its implementation. Research objectives are as follows: 1) summarize types of computational approaches to multi-level complex data used in computational psychiatry; 2) discuss utilization areas of computational modelling in psychiatry; 3) present general limitations and challenges in implementation. Method Focusing on the basic theoretical assumptions of computational psychiatry and its applications in mental health care, a narrative review of the literature published in English in the PubMed and EMBASE databases until January 10, 2024 was conducted. Results The leading areas of medicine currently exploiting the opportunities offered by new technologies to achieve contextualized precision diagnosis and treatment are radiology, oncology, neurology, and cardiology. While computational modelling of behavior has been used in neuroscience, direct translation of the results into the context of both diagnosis and psychiatric treatment appears to be much more difficult due to the interaction of genetic, physiological, comorbidity and environmental factors on mental status. Several key methods from computational psychiatry can improve precision psychiatry. First, biophysically realistic neural network (BRNN) models allow the simulation of brain functions to understand cognitive patterns in mental disorders. Second, algorithmic reinforcement learning (ARL) models are proposed for psychiatric analysis. Finally, probabilistic approaches, such as Bayesian models (BM), can be used to predict mental states and behaviors, taking into account individual variability. These techniques facilitate a personalized approach to psychiatry, enabling tailored insights and treatments for individual patients. In addition to the methods known in other leading areas of medicine, there is an increasing interest in natural language processing (NLP) to search for the traits of the changes in mental status. In this area especially, combination of the probabilistic methods and large language models (LLM’ s) based on transformer architecture are the prospective solutions for the psychiatric treatment. Discussion & Conclusions Precision psychiatry can enhance its approach by integrating big data and machine learning techniques from computational psychiatry. However, addressing the challenges requires a multi-faceted approach, including more ecologically valid models, better integration of computational methods into clinical practice, and further research into the reliability and validity of these techniques. References [1]Fernandes, B. S., Williams, L. M., Steiner, J., Leboyer, M., Carvalho, A. F., &Berk, M. (2017). The new field of ‘precision psychiatry’. BMC medicine, 15(1), 1-7. [2]Friston, K. J. (2017). Precision psychiatry. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2(8), 640-643. [3]Zanardi, R., Prestifilippo, D., Fabbri, C., Colombo, C., Maron, E., &Serretti, A. (2021). Precision psychiatry in clinical practice. International Journal of Psychiatry in Clinical Practice, 25(1), 19-27 [4]Anticevic, A., &Murray, J. D. (Eds.). (2017). Computational psychiatry: Mathematical modeling of mental illness. Academic Press. [5]Koutsouleris, N., Hauser, T. U., Skvortsova, V., &De Choudhury, M. (2022). From promise to practice: towards the realisation of AI-informed mental health care. The Lancet Digital Health, 4(11), e829-e840. [6]Hauser, T. U., Skvortsova, V., De Choudhury, M., &Koutsouleris, N. (2022). The promise of a model- based psychiatry: building computational models of mental ill health. The Lancet Digital Health, 4(11), e816-e828. [5]Castro Martí nez, J. C., &Santamarí a-Garcí a, H. (2023). Understanding mental health through computers: An introduction to computational psychiatry. Frontiers in Psychiatry, 14, 1092471. [6]Mujica-Parodi, L. R., &Strey, H. H. (2020). Making sense of computational psychiatry. International Journal of Neuropsychopharmacology, 23(5), 339-347. [7]Bzdok, D., &Meyer-Lindenberg, A. (2018). Machine learning for precision psychiatry: opportunities and challenges. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(3), 223-230. [8]Jeon, E., Yoon, N., &Sohn, S. Y. (2023). Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa. Technological Forecasting and Social Change, 186, 122130. [9]Ray, A., Bhardwaj, A., Malik, Y. K., Singh, S., &Gupta, R. (2022). Artificial intelligence and Psychiatry: An overview. Asian Journal of Psychiatry, 70, 103021. [10]Sun, J., Dong, Q. X., Wang, S. W., Zheng, Y. B., Liu, X. X., Lu, T. S.,... &Han, Y. (2023). Artificial intelligence in psychiatry research, diagnosis, and therapy. Asian Journal of Psychiatry, 103705. [11]Rumshisky, A., Ghassemi, M., Naumann, T., Szolovits, P., Castro, V. M., McCoy, T. H., &Perlis, R. H. (2016). Predicting early psychiatric readmission with natural language processing of narrative discharge summaries. Translational psychiatry, 6(10), e921-e921. [12]Ló pez-Ojeda, W., &Hurley, R. A. (2023). Medical Metaverse, Part 2: Artificial Intelligence Algorithms and Large Language Models in Psychiatry and Clinical Neurosciences. The Journal of Neuropsychiatry and Clinical Neurosciences, 35(4), 316-320.

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Riederer, Peter. "Anxiety and Stress – Translational Perspectives." Journal of Neural Transmission 126, no. 9 (2019): 1115. http://dx.doi.org/10.1007/s00702-019-02063-3.

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Demin, Konstantin, Darya Meshalkina, Anton Lakstygal, and Allan Kalueff. "Developing translational biological psychiatry: Learning from history to build the future." Biological Communications 62, no. 4 (2017): 278–92. http://dx.doi.org/10.21638/11701/spbu03.2017.407.

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Dwyer, Dominic, and Nikolaos Koutsouleris. "Annual Research Review: Translational machine learning for child and adolescent psychiatry." Journal of Child Psychology and Psychiatry 63, no. 4 (2022): 421–43. http://dx.doi.org/10.1111/jcpp.13545.

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Ford, Charles L., and Larry J. Young. "Translational opportunities for circuit-based social neuroscience: advancing 21st century psychiatry." Current Opinion in Neurobiology 68 (June 2021): 1–8. http://dx.doi.org/10.1016/j.conb.2020.11.007.

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Venkatasubramanian, Ganesan. "Transcranial direct current stimulation in psychiatry: Clinical neurobiology & translational implications." Telangana Journal of Psychiatry 5, no. 2 (2019): 90–91. http://dx.doi.org/10.18231/j.tjp.2019.020.

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Kirlioglu, Simge Seren, and Yasin Hasan Balcioglu. "Chronobiology Revisited in Psychiatric Disorders: From a Translational Perspective." Psychiatry Investigation 17, no. 8 (2020): 725–43. http://dx.doi.org/10.30773/pi.2020.0129.

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Objective Several lines of evidence support a relationship between circadian rhythms disruption in the onset, course, and maintenance of mental disorders. Despite the study of circadian phenotypes promising a decent understanding of the pathophysiologic or etiologic mechanisms of psychiatric entities, several questions still need to be addressed. In this review, we aimed to synthesize the literature investigating chronobiologic theories and their associations with psychiatric entities.Methods The Medline, Embase, PsycInfo, and Scopus databases were comprehensively and systematically searched and articles published between January 1990 and October 2019 were reviewed. Different combinations of the relevant keywords were polled. We first introduced molecular elements and mechanisms of the circadian system to promote a better understanding of the chronobiologic implications of mental disorders. Then, we comprehensively and systematically reviewed circadian system studies in mood disorders, schizophrenia, and anxiety disorders.Results Although subject characteristics and study designs vary across studies, current research has demonstrated that circadian pathologies, including genetic and neurohumoral alterations, represent the neural substrates of the pathophysiology of many psychiatric disorders. Impaired HPA-axis function-related glucocorticoid rhythm and disrupted melatonin homeostasis have been prominently demonstrated in schizophrenia and other psychotic disorders, while alterations of molecular expressions of circadian rhythm genes including <i>CLOCK, PER</i>, and <i>CRY</i> have been reported to be involved in the pathogenesis of mood disorders.Conclusion Further translational work is needed to identify the causal relationship between circadian physiology abnormalities and mental disorders and related psychopathology, and to develop sound pharmacologic interventions.

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Stahl, Stephen M. "Psychiatric Stress Testing: Novel Strategy for Translational Psychopharmacology." Neuropsychopharmacology 35, no. 7 (2010): 1413–14. http://dx.doi.org/10.1038/npp.2010.29.

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Navarro, Daniela, Ani Gasparyan, Francisco Navarrete, et al. "Molecular Alterations of the Endocannabinoid System in Psychiatric Disorders." International Journal of Molecular Sciences 23, no. 9 (2022): 4764. http://dx.doi.org/10.3390/ijms23094764.

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The therapeutic benefits of the current medications for patients with psychiatric disorders contrast with a great variety of adverse effects. The endocannabinoid system (ECS) components have gained high interest as potential new targets for treating psychiatry diseases because of their neuromodulator role, which is essential to understanding the regulation of many brain functions. This article reviewed the molecular alterations in ECS occurring in different psychiatric conditions. The methods used to identify alterations in the ECS were also described. We used a translational approach. The animal models reproducing some behavioral and/or neurochemical aspects of psychiatric disorders and the molecular alterations in clinical studies in post-mortem brain tissue or peripheral tissues were analyzed. This article reviewed the most relevant ECS changes in prevalent psychiatric diseases such as mood disorders, schizophrenia, autism, attentional deficit, eating disorders (ED), and addiction. The review concludes that clinical research studies are urgently needed for two different purposes: (1) To identify alterations of the ECS components potentially useful as new biomarkers relating to a specific disease or condition, and (2) to design new therapeutic targets based on the specific alterations found to improve the pharmacological treatment in psychiatry.

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Shmukler, Alexander B., Larisa G. Movina, Oleg O. Papsuev, Lyudmila I. Salnikova, Nina G. Shashkova, and Elena M. Kiryanova. "Comprehensive Clinical and Social Research at the Moscow Research Institute of Psychiatry: Translation into Clinical Practice." Consortium Psychiatricum 2, no. 3 (2021): 45–52. http://dx.doi.org/10.17816/cp95.

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The article is devoted to the work of the Moscow Research Institute of Psychiatry to improve psychiatric care for patients with psychotic disorders. An important feature of this work was an integrated approach, in which the clinical picture of the disease was assessed in close connection with the patient's personal and psychological characteristics, social conditions of his life, therapeutic opportunities, rehabilitation potential and organizational structure of care. The article reflects the results of many years of work of the department of outpatient psychiatry and the organization of psychiatric care under the guidance of Professor I.Ya. Gurovich. The results of scientific research carried out by the staff of the institute in a traditional humanistic manner are presented. The translational nature of the research is emphasized by its inextricable link with clinical and social approaches. As a result of many years of work, a concept was developed to provide assistance to various groups of patients, starting with the first manifestations of the disease and ending with cases of long-term chronic disorders with a pronounced level of social maladaptation. As a result, a whole spectrum of new organizational forms of psychiatric care was proposed, such as departments (clinics) of the first psychotic episode, medical rehabilitation departments, assertive community treatment departments, designed for the most difficult patients. These organizational forms were fixed in the regulatory documents of the Ministry of Health and Social Development of the Russian Federation. To date, the above departments have been established in psychiatric institutions in many regions of the Russian Federation. Further development of this area is associated with neurobiological research to identify complex biomarkers of psychotic spectrum disorders. Thus, the research carried out at the present time preserves the tradition of an integrated clinical and social approach to the study of mental disorders. It is shown that an important advantage of this approach is their translational nature.

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Roth, Walton T. "Translational Research for Panic Disorder." American Journal of Psychiatry 165, no. 7 (2008): 796–98. http://dx.doi.org/10.1176/appi.ajp.2008.08040533.

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Cuthbert, Bruce N. "Social anxiety disorder: trends and translational research." Biological Psychiatry 51, no. 1 (2002): 4–10. http://dx.doi.org/10.1016/s0006-3223(01)01326-9.

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Vanderschuren, Louk, Jack Bergman, Emily Jutkiewicz, and Paul Willner. "Translational Research in Behavioural Pharmacology." Behavioural Pharmacology 32, no. 2&3 (2021): 93–94. http://dx.doi.org/10.1097/fbp.0000000000000630.

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Sonuga‐Barke, Edmund J. S. "Editorial: Qualitative contributions to translational science – Practical pointers towards methodological pluralism in child psychology and psychiatry." Journal of Child Psychology and Psychiatry 65, no. 10 (2024): 1255–57. http://dx.doi.org/10.1111/jcpp.14049.

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Qualitative research is notable by its relative absence from the translational science studies in the field of child mental health and neurodevelopmental conditions in general, and the Journal of Child Psychology & Psychiatry in particular. In this editorial, I argue for a pragmatic integration of qualitative and quantitative methods to speed up the development of new and more effective interventions. I give practical examples of the benefits of qualitative methods at specific points across the discovery – development – implementation translational cycle.

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Davis, Chair: Lea, Co-chair: Jordan Smoller, and Discussant: Laura Huckins. "ACHIEVING PRECISION PSYCHIATRY IN AN IMPRECISE WORLD: USING THE EHR SYSTEM TO TEST TRANSLATIONAL PARADIGMS IN PSYCHIATRIC GENETICS." European Neuropsychopharmacology 29 (October 2019): S53—S54. http://dx.doi.org/10.1016/j.euroneuro.2019.07.111.

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Alstrup, Aage Kristian Olsen, and Christian Sonne. "3Rs as part of preclinical neuropsychiatric translational crisis, and ARRIVE guidelines as part of solution." Acta Neuropsychiatrica 31, no. 6 (2019): 348–49. http://dx.doi.org/10.1017/neu.2019.40.

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AbstractObjective:The ongoing translational and reproducibility crisis dominates preclinical research today as results from animal studies often disappoint when transferred to human clinical studies. This problem is especially relevant in the field of brain diseases and translational neuropsychiatry.Methods:Here, we discuss if the 3R concept could be part of the translational crisis.Results:The focus has been on the second R, which is to reduce the variation between the experimental animals, so that the number of animals per study can be reduced. However, the risk of obtaining false results has also increased. We, therefore, recommend that researchers use a broader perspective as also suggest by Russell and Burch who founded the 3Rs when considering the 3R concept, which involves the translational aspects described in detail in their 3R book from 1959.Conclusion:This may together with systematic reviews and well-designed and well-performed animal studies and accurate reporting of the results indeed contribute to solving the translational crisis in preclinical research.

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Onitsuka, Toshiaki, Yoji Hirano, Kiyotaka Nemoto, et al. "Trends in big data analyses by multicenter collaborative translational research in psychiatry." Psychiatry and Clinical Neurosciences 76, no. 1 (2022): 1–14. http://dx.doi.org/10.1111/pcn.13311.

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