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Hart XM, Gründer G, Ansermot N, Conca A, Corruble E, Crettol S, Cumming P, Hefner G, Frajerman A, Howes O, Jukic MM, Kim E, Kim S, Maniscalco I, Moriguchi S, Müller DJ, Nakajima S, Osugo M, Paulzen M, Ruhe HG, Scherf-Clavel M, Schoretsanitis G, Serretti A, Spina E, Spigset O, Steimer W, Süzen SH, Uchida H, Unterecker S, Vandenberghe F, Verstuyft C, Zernig G, Hiemke C, Eap CB. Optimisation of pharmacotherapy in psychiatry through therapeutic drug monitoring, molecular brain imaging and pharmacogenetic tests: Focus on antipsychotics. World J Biol Psychiatry 2024:1-86. [PMID: 38913780 DOI: 10.1080/15622975.2024.2366235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 05/12/2024] [Accepted: 06/06/2024] [Indexed: 06/26/2024]
Abstract
BACKGROUND For psychotic disorders (i.e. schizophrenia), pharmacotherapy plays a key role in controlling acute and long-term symptoms. To find the optimal individual dose and dosage strategy, specialised tools are used. Three tools have been proven useful to personalise drug treatments: therapeutic drug monitoring (TDM) of drug levels, pharmacogenetic testing (PG), and molecular neuroimaging. METHODS In these Guidelines, we provide an in-depth review of pharmacokinetics, pharmacodynamics, and pharmacogenetics for 45 antipsychotics. Over 30 international experts in psychiatry selected studies that have measured drug concentrations in the blood (TDM), gene polymorphisms of enzymes involved in drug metabolism, or receptor/transporter occupancies in the brain (positron emission tomography (PET)). RESULTS Study results strongly support the use of TDM and the cytochrome P450 (CYP) genotyping and/or phenotyping to guide drug therapies. Evidence-based target ranges are available for titrating drug doses that are often supported by PET findings. CONCLUSION All three tools discussed in these Guidelines are essential for drug treatment. TDM goes well beyond typical indications such as unclear compliance and polypharmacy. Despite its enormous potential to optimise treatment effects, minimise side effects and ultimately reduce the global burden of diseases, personalised drug treatment has not yet become the standard of care in psychiatry.
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Affiliation(s)
- Xenia Marlene Hart
- Department of Molecular Neuroimaging, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Gerhard Gründer
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
- German Center for Mental Health (DZPG), Partner Site Mannheim, Heidelberg, Germany
| | - Nicolas Ansermot
- Department of Psychiatry, Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Lausanne University Hospital, Prilly, Switzerland
| | - Andreas Conca
- Dipartimento di Psichiatria, Comprensorio Sanitario di Bolzano, Bolzano, Italy
| | - Emmanuelle Corruble
- Service Hospitalo-Universitaire de Psychiatrie, Hôpital de Bicêtre, Université Paris-Saclay, AP-HP, Le Kremlin-Bicêtre, France
- Equipe MOODS, Inserm U1018, CESP (Centre de Recherche en Epidémiologie et Sante des Populations), Le Kremlin-Bicêtre, France
| | - Severine Crettol
- Department of Psychiatry, Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Lausanne University Hospital, Prilly, Switzerland
| | - Paul Cumming
- Department of Nuclear Medicine, Bern University Hospital, Bern, Switzerland
- School of Psychology and Counseling, Queensland University of Technology, Brisbane, Australia
| | - Gudrun Hefner
- Forensic Psychiatry, Vitos Clinic for Forensic Psychiatry, Eltville, Germany
| | - Ariel Frajerman
- Service Hospitalo-Universitaire de Psychiatrie, Hôpital de Bicêtre, Université Paris-Saclay, AP-HP, Le Kremlin-Bicêtre, France
- Equipe MOODS, Inserm U1018, CESP (Centre de Recherche en Epidémiologie et Sante des Populations), Le Kremlin-Bicêtre, France
| | - Oliver Howes
- Department of Psychosis Studies, IoPPN, King's College London, London, UK
- Faculty of Medicine, Institute of Clinical Sciences (ICS), Imperial College London, London, UK
| | - Marin M Jukic
- Department of Physiology, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia
- Pharmacogenetics Section, Department of Physiology and Pharmacology, Karolinska Institutet, Solna, Sweden
| | - Euitae Kim
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seoyoung Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - Ignazio Maniscalco
- Dipartimento di Psichiatria, Comprensorio Sanitario di Bolzano, Bolzano, Italy
| | - Sho Moriguchi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Daniel J Müller
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Martin Osugo
- Department of Psychosis Studies, IoPPN, King's College London, London, UK
- Faculty of Medicine, Institute of Clinical Sciences (ICS), Imperial College London, London, UK
| | - Michael Paulzen
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- JARA - Translational Brain Medicine, Alexianer Center for Mental Health, Aachen, Germany
| | - Henricus Gerardus Ruhe
- Department of Psychiatry, Radboudumc, Nijmegen, Netherlands
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, Netherlands
| | - Maike Scherf-Clavel
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Georgios Schoretsanitis
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | | | - Edoardo Spina
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Olav Spigset
- Department of Clinical Pharmacology, St. Olav University Hospital, Trondheim, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Werner Steimer
- Institute of Clinical Chemistry and Pathobiochemistry, Technical University Munich, Munich, Germany
| | - Sinan H Süzen
- Department of Pharmaceutic Toxicology, Faculty of Pharmacy, Ankara University, Ankara, Turkey
| | - Hiroyuki Uchida
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Stefan Unterecker
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Frederik Vandenberghe
- Department of Psychiatry, Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Lausanne University Hospital, Prilly, Switzerland
| | - Celine Verstuyft
- Equipe MOODS, Inserm U1018, CESP (Centre de Recherche en Epidémiologie et Sante des Populations), Le Kremlin-Bicêtre, France
- Department of Molecular Genetics, Pharmacogenetics and Hormonology, Bicêtre University Hospital Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Gerald Zernig
- Department of Pharmacology, Medical University Innsbruck, Hall in Tirol, Austria
- Private Practice for Psychotherapy and Court-Certified Witness, Hall in Tirol, Austria
| | - Christoph Hiemke
- Department of Psychiatry and Psychotherapy and Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center of Mainz, Mainz, Germany
| | - Chin B Eap
- Department of Psychiatry, Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Lausanne University Hospital, Prilly, Switzerland
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland
- Center for Research and Innovation in Clinical Pharmaceutical Sciences, University of Lausanne, Lausanne, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, University of Lausanne, Lausanne, Switzerland
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Huang Z, Zhang L, Li Y, Yu Y, Shen Y, Sun X, Lou K, Luo H, Meng Z, Li H, Wei Y. Population Pharmacodynamic Models of Risperidone on PANSS Total Scores and Prolactin Levels in Schizophrenia. Pharmaceuticals (Basel) 2024; 17:148. [PMID: 38399363 PMCID: PMC10891722 DOI: 10.3390/ph17020148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/18/2024] [Accepted: 01/18/2024] [Indexed: 02/25/2024] Open
Abstract
Currently, research predominantly focuses on evaluating clinical effects at specific time points while neglecting underlying patterns within the treatment process. This study aims to analyze the dynamic alterations in PANSS total scores and prolactin levels in patients with schizophrenia treated with risperidone, along with the influencing covariates. Using data from an 8-week randomized, double-blind, multicenter clinical trial, a population pharmacodynamic model was established for the PANSS total scores of and prolactin levels in patients treated with risperidone. The base model employed was the Emax model. Covariate selection was conducted using a stepwise forward inclusion and backward elimination approach. A total of 144 patients were included in this analysis, with 807 PANSS total scores and 531 prolactin concentration values. The PANSS total scores of the patients treated with risperidone decreased over time, fitting a proportionally parameterized sigmoid Emax model with covariates including baseline score, course of the disease, gender, plasma calcium ions, and lactate dehydrogenase levels. The increase in prolactin levels conformed to the ordinary Emax model, with covariates encompassing course of the disease, gender, weight, red blood cell count, and triglyceride levels. The impacts of the baseline scores and the course of the disease on the reduction of the PANSS scores, as well as the influence of gender on the elevation of prolactin levels, each exceeded 20%. This study provides valuable quantitative data regarding PANSS total scores and prolactin levels among patients undergoing risperidone treatment across various physiological conditions.
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Affiliation(s)
- Zhiwei Huang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; (Z.H.)
| | - Lei Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; (Z.H.)
| | - Yan Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; (Z.H.)
| | - Yimin Yu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; (Z.H.)
| | - Yifeng Shen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; (Z.H.)
| | - Xiujia Sun
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; (Z.H.)
| | - Kun Lou
- CSPC Zhongqi Pharmaceutical Technology (Shijiazhuang) Co., Ltd., Shijiazhuang 050000, China
| | - Hongmei Luo
- CSPC Zhongqi Pharmaceutical Technology (Shijiazhuang) Co., Ltd., Shijiazhuang 050000, China
| | - Zhibin Meng
- CSPC Zhongqi Pharmaceutical Technology (Shijiazhuang) Co., Ltd., Shijiazhuang 050000, China
| | - Huafang Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; (Z.H.)
- Shanghai Clinical Research Center for Mental Health, Shanghai 200030, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China
| | - Yumei Wei
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; (Z.H.)
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Ghanbarzehi A, Sepehrinezhad A, Hashemi N, Karimi M, Shahbazi A. Disclosing common biological signatures and predicting new therapeutic targets in schizophrenia and obsessive-compulsive disorder by integrated bioinformatics analysis. BMC Psychiatry 2023; 23:40. [PMID: 36641432 PMCID: PMC9840830 DOI: 10.1186/s12888-023-04543-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 01/11/2023] [Indexed: 01/15/2023] Open
Abstract
Schizophrenia (SCZ) is a severe mental illness mainly characterized by a number of psychiatric symptoms. Obsessive-compulsive disorder (OCD) is a long-lasting and devastating mental disorder. SCZ has high co-occurrence with OCD resulting in the emergence of a concept entitled "schizo-obsessive disorder" as a new specific clinical entity with more severe psychiatric symptoms. Many studies have been done on SCZ and OCD, but the common pathogenesis between them is not clear yet. Therefore, this study aimed to identify shared genetic basis, potential biomarkers and therapeutic targets between these two disorders. Gene sets were extracted from the Geneweaver and Harmonizome databases for each disorder. Interestingly, the combination of both sets revealed 89 common genes between SCZ and OCD, the most important of which were BDNF, SLC6A4, GAD1, HTR2A, GRIN2B, DRD2, SLC6A3, COMT, TH and DLG4. Then, we conducted a comprehensive bioinformatics analysis of the common genes. Receptor activity as the molecular functions, neuron projection and synapse as the cellular components as well as serotonergic synapse, dopaminergic synapse and alcoholism as the pathways were the most significant commonalities in enrichment analyses. In addition, transcription factor (TFs) analysis predicted significant TFs such as HMGA1, MAPK14, HINFP and TEAD2. Hsa-miR-3121-3p and hsa-miR-495-3p were the most important microRNAs (miRNAs) associated with both disorders. Finally, our study predicted 19 existing drugs (importantly, Haloperidol, Fluoxetine and Melatonin) that may have a potential influence on this co-occurrence. To summarize, this study may help us to better understand and handle the co-occurrence of SCZ and OCD by identifying potential biomarkers and therapeutic targets.
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Affiliation(s)
- Abdolhakim Ghanbarzehi
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Sepehrinezhad
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
- Neuroscience Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Nazanin Hashemi
- Department of Biotechnology, Bangalore University, Bangalore, Karnataka, India
| | - Minoo Karimi
- Department of Audiology, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Shahbazi
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran.
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Ruan X, Fang S, Zheng Q, Qi S, Tian Y, Ren W. The Association between 5-Hydroxytryptamine Receptor 1B rs13212041 Polymorphism and Trait Anxiety in Chinese Han College Subjects. Life (Basel) 2021; 11:life11090882. [PMID: 34575031 PMCID: PMC8468159 DOI: 10.3390/life11090882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/19/2021] [Accepted: 08/24/2021] [Indexed: 11/16/2022] Open
Abstract
Trait anxiety is a vulnerable personality factor for anxiety and depression. High levels of trait anxiety confer an elevated risk for the development of anxiety and other psychiatric disorders. There is evidence that 5-hydroxytryptamine receptor 1B (5-HT1B) gene polymorphisms play an important role in emotional disorders. Genotyping for four single-nucleotide polymorphisms (SNP) (rs11568817, rs130058, rs6297, and rs13212041) was conducted for 388 high trait anxious (HTA) individuals and 463 low traitanxious (LTA) individuals in Chinese Han college subjects. The results showed that the frequencies of the C-allele and TC + CC genotype of rs13212041 in the LTA individuals were higher than that in the HTA individuals (p = 0.025 and p = 0.014, respectively). Both the C-allele and TC + CC genotype were associated with trait anxiety decreasing (OR = 0.771 and OR = 0.71, respectively). Furthermore, different gene model analysis also showed that the C allele was a protective factor for trait anxiety in Chinese Han college subjects. These findings suggest that 5-HT1B rs13212014 may play a role in trait anxiety among China Han college subjects. The rs13212014 polymorphism may be involved in decreasing the risk of trait anxiety. These results also provide a novel insight into the molecular mechanism underlying trait anxiety.
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Affiliation(s)
- Xiaofei Ruan
- Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi’an 710062, China;
| | - Suwen Fang
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (S.F.); (Q.Z.); (S.Q.)
| | - Qi Zheng
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (S.F.); (Q.Z.); (S.Q.)
| | - Senqing Qi
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (S.F.); (Q.Z.); (S.Q.)
| | - Yingfang Tian
- Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi’an 710062, China;
- Correspondence: (Y.T.); (W.R.)
| | - Wei Ren
- Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi’an 710062, China;
- Correspondence: (Y.T.); (W.R.)
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De Deurwaerdère P, Chagraoui A, Di Giovanni G. Serotonin/dopamine interaction: Electrophysiological and neurochemical evidence. PROGRESS IN BRAIN RESEARCH 2021; 261:161-264. [PMID: 33785130 DOI: 10.1016/bs.pbr.2021.02.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The interaction between serotonin (5-HT) and dopamine (DA) in the central nervous system (CNS) plays an important role in the adaptive properties of living animals to their environment. These are two modulatory, divergent systems shaping and regulating in a widespread manner the activity of neurobiological networks and their interaction. The concept of one interaction linking these two systems is rather elusive when looking at the mechanisms triggered by these two systems across the CNS. The great variety of their interacting mechanisms is in part due to the diversity of their neuronal origin, the density of their fibers in a given CNS region, the distinct expression of their numerous receptors in the CNS, the heterogeneity of their intracellular signaling pathway that depend on the cellular type expressing their receptors, and the state of activity of neurobiological networks, conditioning the outcome of their mutual influences. Thus, originally conceptualized as inhibition of 5-HT on DA neuron activity and DA neurotransmission, this interaction is nowadays considered as a multifaceted, mutual influence of these two systems in the regulation of CNS functions. These new ways of understanding this interaction are of utmost importance to envision the consequences of their dysfunctions underlined in several CNS diseases. It is also essential to conceive the mechanism of action of psychotropic drugs directly acting on their function including antipsychotic, antidepressant, antiparkinsonian, and drug of abuse together with the development of therapeutic strategies of Alzheimer's diseases, epilepsy, obsessional compulsive disorders. The 5-HT/DA interaction has a long history from the serendipitous discovery of antidepressants and antipsychotics to the future, rationalized treatments of CNS disorders.
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Affiliation(s)
- Philippe De Deurwaerdère
- Centre National de la Recherche Scientifique, Institut des Neurosciences Intégratives et Cognitives d'Aquitaine, UMR 5287, Bordeaux, France.
| | - Abdeslam Chagraoui
- Laboratory of Neuronal and Neuroendocrine Differentiation and Communication, Institute for Research and Innovation in Biomedicine of Normandy (IRIB), Normandie University, UNIROUEN, INSERM U1239, Rouen, France; Department of Medical Biochemistry, Rouen University Hospital, Rouen, France
| | - Giuseppe Di Giovanni
- Laboratory of Neurophysiology, Department of Physiology and Biochemistry, Faculty of Medicine and Surgery, University of Malta, Msida, Malta; Neuroscience Division, School of Biosciences, Cardiff University, Cardiff, United Kingdom.
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