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Angelin M, Gopinath P, Raghavan V, Thara R, Ahmad F, Munirajan AK, Sudesh R. Global DNA and RNA Methylation Signature in Response to Antipsychotic Treatment in First-Episode Schizophrenia Patients. Neuropsychiatr Dis Treat 2024; 20:1435-1444. [PMID: 39049939 PMCID: PMC11268744 DOI: 10.2147/ndt.s466502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 06/18/2024] [Indexed: 07/27/2024] Open
Abstract
Background Schizophrenia is a heterogeneous chronic psychiatric disorder influenced by genetic and environmental factors. Environmental factors can alter epigenetic marks, which regulate gene expression and cause an array of systemic changes. Several studies have demonstrated the association of epigenetic modulations in schizophrenia, which can influence clinical course, symptoms, and even treatment. Based on this, we have examined the global DNA methylation patterns, namely the 5-methylcytosine (5mC), 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC); and the global RNA modification N6-methyladenosine (m6A) RNA methylation status in peripheral blood cells. First-Episode Psychosis (FEP) patients who were diagnosed with Schizophrenia (SCZ) and undergoing treatment were stratified as Treatment-Responsive (TR) and Treatment-Non-Responsive (TNR). Age- and sex-matched healthy subjects served as controls. Results The methylation pattern of 5mC and 5hmC showed significant increases in patients in comparison to controls. Further, when patients were classified based on their response to treatment, there was a statistically significant increase in methylation patterns in the treatment non-responder group. 5fC and m6A levels did not show any statistical significance across the groups. Further, gender-based stratification did not yield any significant difference for the markers. Conclusion The study highlights the increased global methylation pattern in SCZ patients and a significant difference between the TR versus TNR groups. Global 5mC and 5hmC epigenetic marks suggest their potential roles in schizophrenia pathology, and also in the treatment response to antipsychotics. Since not many studies were available on the treatment response, further validation and the use of more sensitive techniques to study methylation status could unravel the potential of these epigenetic modifications as biomarkers for SCZ as well as distinguishing the antipsychotic treatment response in patients.
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Affiliation(s)
- Mary Angelin
- Department of Genetics, University of Madras, Dr ALM PG Institute of Basic Medical Sciences, Taramani Campus, Chennai, Tamil Nadu, 600 113, India
| | - Padmavathi Gopinath
- Department of Genetics, University of Madras, Dr ALM PG Institute of Basic Medical Sciences, Taramani Campus, Chennai, Tamil Nadu, 600 113, India
| | - Vijaya Raghavan
- Department of Genetics, University of Madras, Dr ALM PG Institute of Basic Medical Sciences, Taramani Campus, Chennai, Tamil Nadu, 600 113, India
- Schizophrenia Research Foundation, Chennai, Tamil Nadu, 600 101, India
| | - Rangaswamy Thara
- Schizophrenia Research Foundation, Chennai, Tamil Nadu, 600 101, India
| | - Faraz Ahmad
- Department of Biotechnology, School of Bioscience and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
| | - Arasamabattu Kannan Munirajan
- Department of Genetics, University of Madras, Dr ALM PG Institute of Basic Medical Sciences, Taramani Campus, Chennai, Tamil Nadu, 600 113, India
| | - Ravi Sudesh
- Department of Biomedical Sciences, School of Bioscience and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India
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Guldager MB, Chaves Filho AM, Biojone C, Joca S. Therapeutic potential of cannabidiol in depression. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2024; 177:251-293. [PMID: 39029987 DOI: 10.1016/bs.irn.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/21/2024]
Abstract
Major depressive disorder (MDD) is a widespread and debilitating condition affecting a significant portion of the global population. Traditional treatment for MDD has primarily involved drugs that increase brain monoamines by inhibiting their uptake or metabolism, which is the basis for the monoaminergic hypothesis of depression. However, these treatments are only partially effective, with many patients experiencing delayed responses, residual symptoms, or complete non-response, rendering the current view of the hypothesis as reductionist. Cannabidiol (CBD) has shown promising results in preclinical models and human studies. Its mechanism is not well-understood, but may involve monoamine and endocannabinoid signaling, control of neuroinflammation and enhanced neuroplasticity. This chapter will explore CBD's effects in preclinical and clinical studies, its molecular mechanisms, and its potential as a treatment for MDD.
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Affiliation(s)
- Matti Bock Guldager
- Department of Biomedicine, Health Faculty, Aarhus University, Aarhus, Denmark; Translational Neuropsychiatry Unit (TNU), Department of Clinical Medicine, Health Faculty, Aarhus University, Aarhus, Denmark
| | | | - Caroline Biojone
- Department of Biomedicine, Health Faculty, Aarhus University, Aarhus, Denmark; Translational Neuropsychiatry Unit (TNU), Department of Clinical Medicine, Health Faculty, Aarhus University, Aarhus, Denmark
| | - Sâmia Joca
- Department of Biomedicine, Health Faculty, Aarhus University, Aarhus, Denmark; Translational Neuropsychiatry Unit (TNU), Department of Clinical Medicine, Health Faculty, Aarhus University, Aarhus, Denmark.
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Dahrendorff J, Currier G, Uddin M. Leveraging DNA methylation to predict treatment response in major depressive disorder: A critical review. Am J Med Genet B Neuropsychiatr Genet 2024:e32985. [PMID: 38650309 DOI: 10.1002/ajmg.b.32985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 03/18/2024] [Accepted: 04/02/2024] [Indexed: 04/25/2024]
Abstract
Major depressive disorder (MDD) is a debilitating and prevalent mental disorder with a high disease burden. Despite a wide array of different treatment options, many patients do not respond to initial treatment attempts. Selection of the most appropriate treatment remains a significant clinical challenge in psychiatry, highlighting the need for the development of biomarkers with predictive utility. Recently, the epigenetic modification DNA methylation (DNAm) has emerged to be of great interest as a potential predictor of MDD treatment outcomes. Here, we review efforts to date that seek to identify DNAm signatures associated with treatment response in individuals with MDD. Searches were conducted in the databases PubMed, Scopus, and Web of Science with the concepts and keywords MDD, DNAm, antidepressants, psychotherapy, cognitive behavior therapy, electroconvulsive therapy, transcranial magnetic stimulation, and brain stimulation therapies. We identified 32 studies implicating DNAm patterns associated with MDD treatment outcomes. The majority of studies (N = 25) are focused on selected target genes exploring treatment outcomes in pharmacological treatments (N = 22) with a few studies assessing treatment response to electroconvulsive therapy (N = 3). Additionally, there are few genome-scale efforts (N = 7) to characterize DNAm patterns associated with treatment outcomes. There is a relative dearth of studies investigating DNAm patterns in relation to psychotherapy, electroconvulsive therapy, or transcranial magnetic stimulation; importantly, most existing studies have limited sample sizes. Given the heterogeneity in both methods and results of studies to date, there is a need for additional studies before existing findings can inform clinical decisions.
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Affiliation(s)
- Jan Dahrendorff
- Genomics Program, College of Public Health, University of South Florida, Tampa, Florida, USA
| | - Glenn Currier
- Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa, Florida, USA
| | - Monica Uddin
- Genomics Program, College of Public Health, University of South Florida, Tampa, Florida, USA
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Zhang Y, Yue W, Li J. The association of FKBP5 gene polymorphism with genetic susceptibility to depression and response to antidepressant treatment- a systematic review. BMC Psychiatry 2024; 24:274. [PMID: 38609904 PMCID: PMC11010372 DOI: 10.1186/s12888-024-05717-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 03/25/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Given the inconsistencies in current studies regarding the impact of FKBP5 gene polymorphisms on depression, arising from variations in study methods, subjects, and treatment strategies, this paper provides a comprehensive review of the relationship between FKBP5 gene polymorphisms and genetic susceptibility to depression, as well as their influence on response to antidepressant treatment. METHODS Electronic databases were searched up to April 11, 2023, for all literature in English and Chinese on depression, FKBP5 gene polymorphisms, and antidepressant treatment. Data extraction and quality assessment were performed for key study characteristics. Qualitative methods were used to synthesize the study results. RESULTS A total of 21 studies were included, with the majority exhibiting average to moderate quality. Six SNPs (rs3800373, rs1360780, rs9470080, rs4713916, rs9296158, rs9394309) were broadly implicated in susceptibility to depression, while rs1360780 and rs3800373 were linked to antidepressant treatment sensitivity. Additionally, rs1360780 was associated with adverse reactions to antidepressant drug treatment. However, these associations were largely unconfirmed in replication studies. CONCLUSIONS Depression is recognized as a polygenic genetic disorder, with multiple genes contributing, each exerting relatively small effects. Future studies should explore not only multiple gene interactions but also epigenetic changes. Presently, research on FKBP5 in affective disorders remains notably limited, highlighting the necessity for further investigations in this domain.
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Affiliation(s)
- Ying Zhang
- Institute of Mental Health, Peking University Sixth Hospital, 100191, Beijing, China
- Tianjin Anding Hospital, Tianjin Municipal Mental Health Center, 300222, Tianjin, China
| | - Weihua Yue
- Institute of Mental Health, Peking University Sixth Hospital, 100191, Beijing, China.
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital), 100191, Beijing, China.
- NHC Key Laboratory of Mental Health, Peking University, 100191, Beijing, China.
- PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China.
- Chinese Institute for Brain Research, 102206, Beijing, China.
| | - Jie Li
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 300222, Tianjin, China.
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Dubath C, Porcu E, Delacrétaz A, Grosu C, Laaboub N, Piras M, von Gunten A, Conus P, Plessen KJ, Kutalik Z, Eap CB. DNA methylation may partly explain psychotropic drug-induced metabolic side effects: results from a prospective 1-month observational study. Clin Epigenetics 2024; 16:36. [PMID: 38419113 PMCID: PMC10903022 DOI: 10.1186/s13148-024-01648-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 02/19/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Metabolic side effects of psychotropic medications are a major drawback to patients' successful treatment. Using an epigenome-wide approach, we aimed to investigate DNA methylation changes occurring secondary to psychotropic treatment and evaluate associations between 1-month metabolic changes and both baseline and 1-month changes in DNA methylation levels. Seventy-nine patients starting a weight gain inducing psychotropic treatment were selected from the PsyMetab study cohort. Epigenome-wide DNA methylation was measured at baseline and after 1 month of treatment, using the Illumina Methylation EPIC BeadChip. RESULTS A global methylation increase was noted after the first month of treatment, which was more pronounced (p < 2.2 × 10-16) in patients whose weight remained stable (< 2.5% weight increase). Epigenome-wide significant methylation changes (p < 9 × 10-8) were observed at 52 loci in the whole cohort. When restricting the analysis to patients who underwent important early weight gain (≥ 5% weight increase), one locus (cg12209987) showed a significant increase in methylation levels (p = 3.8 × 10-8), which was also associated with increased weight gain in the whole cohort (p = 0.004). Epigenome-wide association analyses failed to identify a significant link between metabolic changes and methylation data. Nevertheless, among the strongest associations, a potential causal effect of the baseline methylation level of cg11622362 on glycemia was revealed by a two-sample Mendelian randomization analysis (n = 3841 for instrument-exposure association; n = 314,916 for instrument-outcome association). CONCLUSION These findings provide new insights into the mechanisms of psychotropic drug-induced weight gain, revealing important epigenetic alterations upon treatment, some of which may play a mediatory role.
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Affiliation(s)
- Céline Dubath
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Hôpital de Cery, 1008, Prilly, Lausanne, Switzerland.
| | - Eleonora Porcu
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Aurélie Delacrétaz
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Hôpital de Cery, 1008, Prilly, Lausanne, Switzerland
| | - Claire Grosu
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Hôpital de Cery, 1008, Prilly, Lausanne, Switzerland
| | - Nermine Laaboub
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Hôpital de Cery, 1008, Prilly, Lausanne, Switzerland
| | - Marianna Piras
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Hôpital de Cery, 1008, Prilly, Lausanne, Switzerland
| | - Armin von Gunten
- Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Philippe Conus
- Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Kerstin Jessica Plessen
- Service of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Zoltán Kutalik
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
| | - Chin Bin Eap
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Hôpital de Cery, 1008, Prilly, Lausanne, 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, Geneva, Switzerland.
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Delphin N, Aust C, Griffiths L, Fernandez F. Epigenetic Regulation in Schizophrenia: Focus on Methylation and Histone Modifications in Human Studies. Genes (Basel) 2024; 15:272. [PMID: 38540331 PMCID: PMC10970389 DOI: 10.3390/genes15030272] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 02/17/2024] [Accepted: 02/19/2024] [Indexed: 06/15/2024] Open
Abstract
Despite extensive research over the last few decades, the etiology of schizophrenia (SZ) remains unclear. SZ is a pathological disorder that is highly debilitating and deeply affects the lifestyle and minds of those affected. Several factors (one or in combination) have been reported as contributors to SZ pathogenesis, including neurodevelopmental, environmental, genetic and epigenetic factors. Deoxyribonucleic acid (DNA) methylation and post-translational modification (PTM) of histone proteins are potentially contributing epigenetic processes involved in transcriptional activity, chromatin folding, cell division and apoptotic processes, and DNA damage and repair. After establishing a summary of epigenetic processes in the context of schizophrenia, this review aims to highlight the current understanding of the role of DNA methylation and histone PTMs in this disorder and their potential roles in schizophrenia pathophysiology and pathogenesis.
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Affiliation(s)
- Natasha Delphin
- School of Health and Behavioural Sciences, Faculty of Health Sciences, Australian Catholic University, 1100 Nudgee Rd, Banyo, QLD 4014, Australia; (N.D.)
| | - Caitlin Aust
- School of Health and Behavioural Sciences, Faculty of Health Sciences, Australian Catholic University, 1100 Nudgee Rd, Banyo, QLD 4014, Australia; (N.D.)
| | - Lyn Griffiths
- Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology, 60 Musk Ave, Kelvin Grove, QLD 4059, Australia;
| | - Francesca Fernandez
- School of Health and Behavioural Sciences, Faculty of Health Sciences, Australian Catholic University, 1100 Nudgee Rd, Banyo, QLD 4014, Australia; (N.D.)
- Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology, 60 Musk Ave, Kelvin Grove, QLD 4059, Australia;
- Healthy Brain and Mind Research Centre, Australian Catholic University, Melbourne, VIC 3000, Australia
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7
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Hernandez M, Cullell N, Cendros M, Serra-Llovich A, Arranz MJ. Clinical Utility and Implementation of Pharmacogenomics for the Personalisation of Antipsychotic Treatments. Pharmaceutics 2024; 16:244. [PMID: 38399298 PMCID: PMC10893329 DOI: 10.3390/pharmaceutics16020244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 01/24/2024] [Accepted: 01/29/2024] [Indexed: 02/25/2024] Open
Abstract
Decades of pharmacogenetic research have revealed genetic biomarkers of clinical response to antipsychotics. Genetic variants in antipsychotic targets, dopamine and serotonin receptors in particular, and in metabolic enzymes have been associated with the efficacy and toxicity of antipsychotic treatments. However, genetic prediction of antipsychotic response based on these biomarkers is far from accurate. Despite the clinical validity of these findings, the clinical utility remains unclear. Nevertheless, genetic information on CYP metabolic enzymes responsible for the biotransformation of most commercially available antipsychotics has proven to be effective for the personalisation of clinical dosing, resulting in a reduction of induced side effects and in an increase in efficacy. However, pharmacogenetic information is rarely used in psychiatric settings as a prescription aid. Lack of studies on cost-effectiveness, absence of clinical guidelines based on pharmacogenetic biomarkers for several commonly used antipsychotics, the cost of genetic testing and the delay in results delivery hamper the implementation of pharmacogenetic interventions in clinical settings. This narrative review will comment on the existing pharmacogenetic information, the clinical utility of pharmacogenetic findings, and their current and future implementations.
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Affiliation(s)
- Marta Hernandez
- PHAGEX Research Group, University Ramon Llull, 08022 Barcelona, Spain;
- School of Health Sciences Blanquerna, University Ramon Llull, 08022 Barcelona, Spain
| | - Natalia Cullell
- Fundació Docència i Recerca Mútua Terrassa, 08221 Terrassa, Spain; (N.C.); (A.S.-L.)
- Department of Neurology, Hospital Universitari Mútua Terrassa, 08221 Terrassa, Spain
| | - Marc Cendros
- EUGENOMIC Genómica y Farmacogenética, 08029 Barcelona, Spain;
| | | | - Maria J. Arranz
- PHAGEX Research Group, University Ramon Llull, 08022 Barcelona, Spain;
- Fundació Docència i Recerca Mútua Terrassa, 08221 Terrassa, Spain; (N.C.); (A.S.-L.)
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8
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Narykov O, Zhu Y, Brettin T, Evrard YA, Partin A, Shukla M, Xia F, Clyde A, Vasanthakumari P, Doroshow JH, Stevens RL. Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models. Cancers (Basel) 2023; 16:50. [PMID: 38201477 PMCID: PMC10777918 DOI: 10.3390/cancers16010050] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/01/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024] Open
Abstract
Cancer is a heterogeneous disease in that tumors of the same histology type can respond differently to a treatment. Anti-cancer drug response prediction is of paramount importance for both drug development and patient treatment design. Although various computational methods and data have been used to develop drug response prediction models, it remains a challenging problem due to the complexities of cancer mechanisms and cancer-drug interactions. To better characterize the interaction between cancer and drugs, we investigate the feasibility of integrating computationally derived features of molecular mechanisms of action into prediction models. Specifically, we add docking scores of drug molecules and target proteins in combination with cancer gene expressions and molecular drug descriptors for building response models. The results demonstrate a marginal improvement in drug response prediction performance when adding docking scores as additional features, through tests on large drug screening data. We discuss the limitations of the current approach and provide the research community with a baseline dataset of the large-scale computational docking for anti-cancer drugs.
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Affiliation(s)
- Oleksandr Narykov
- Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL 60439, USA; (Y.Z.); (T.B.); (A.P.); (M.S.); (F.X.); (P.V.); (R.L.S.)
| | - Yitan Zhu
- Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL 60439, USA; (Y.Z.); (T.B.); (A.P.); (M.S.); (F.X.); (P.V.); (R.L.S.)
| | - Thomas Brettin
- Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL 60439, USA; (Y.Z.); (T.B.); (A.P.); (M.S.); (F.X.); (P.V.); (R.L.S.)
| | - Yvonne A. Evrard
- Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA;
| | - Alexander Partin
- Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL 60439, USA; (Y.Z.); (T.B.); (A.P.); (M.S.); (F.X.); (P.V.); (R.L.S.)
| | - Maulik Shukla
- Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL 60439, USA; (Y.Z.); (T.B.); (A.P.); (M.S.); (F.X.); (P.V.); (R.L.S.)
| | - Fangfang Xia
- Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL 60439, USA; (Y.Z.); (T.B.); (A.P.); (M.S.); (F.X.); (P.V.); (R.L.S.)
| | - Austin Clyde
- Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL 60439, USA; (Y.Z.); (T.B.); (A.P.); (M.S.); (F.X.); (P.V.); (R.L.S.)
- Department of Computer Science, The University of Chicago, Chicago, IL 60637, USA
| | - Priyanka Vasanthakumari
- Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL 60439, USA; (Y.Z.); (T.B.); (A.P.); (M.S.); (F.X.); (P.V.); (R.L.S.)
| | - James H. Doroshow
- Developmental Therapeutics Branch, National Cancer Institute, Bethesda, MD 20892, USA;
| | - Rick L. Stevens
- Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont, IL 60439, USA; (Y.Z.); (T.B.); (A.P.); (M.S.); (F.X.); (P.V.); (R.L.S.)
- Department of Computer Science, The University of Chicago, Chicago, IL 60637, USA
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9
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Bourdon C, Etain B, Spano L, Belzeaux R, Leboyer M, Delahaye-Duriez A, Ibrahim EC, Lutz PE, Gard S, Schwan R, Polosan M, Courtet P, Passerieux C, Bellivier F, Marie-Claire C. Accelerated aging in bipolar disorders: An exploratory study of six epigenetic clocks. Psychiatry Res 2023; 327:115373. [PMID: 37542794 DOI: 10.1016/j.psychres.2023.115373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/18/2023] [Accepted: 07/24/2023] [Indexed: 08/07/2023]
Abstract
Bipolar disorder (BD) is a chronic and severe psychiatric disorder associated with significant medical morbidity and reduced life expectancy. In this study, we assessed accelerated epigenetic aging in individuals with BD using various DNA methylation (DNAm)-based markers. For this purpose, we used five epigenetic clocks (Horvath, Hannum, EN, PhenoAge, and GrimAge) and a DNAm-based telomere length clock (DNAmTL). DNAm profiles were obtained using Infinium MethylationEPIC Arrays from whole-blood samples of 184 individuals with BD. We also estimated blood cell counts based on DNAm levels for adjustment. Significant correlations between chronological age and each epigenetic age estimated using the six different clocks were observed. Following adjustment for blood cell counts, we found that the six epigenetic AgeAccels (age accelerations) were significantly associated with the body mass index. GrimAge AgeAccel was significantly associated with male sex, smoking status and childhood maltreatment. DNAmTL AgeAccel was significantly associated with smoking status. Overall, this study showed that distinct epigenetic clocks are sensitive to different aspects of aging process in BD. Further investigations with comprehensive epigenetic clock analyses and large samples are required to confirm our findings of potential determinants of an accelerated epigenetic aging in BD.
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Affiliation(s)
- Céline Bourdon
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France.
| | - Bruno Etain
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France; Département de Psychiatrie et de Médecine Addictologique, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, F-75010, France; Fondation Fondamental, F-94010, Créteil, France
| | - Luana Spano
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France
| | - Raoul Belzeaux
- Pôle Universitaire de Psychiatrie, CHU de Montpellier, France; Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, INT-UMR7289, CNRS Aix-Marseille Université, Marseille, France; Université Paris Est Créteil, INSERM U955, IMRB, Translational Neuro-Psychiatry, Créteil, France
| | - Marion Leboyer
- Fondation Fondamental, F-94010, Créteil, France; Université Paris Est Créteil, INSERM U955, IMRB, Translational Neuro-Psychiatry, Créteil, France; AP-HP, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France
| | | | - El Chérif Ibrahim
- Aix-Marseille Univ, CNRS, INT, Inst Neurosci Timone, 13005 Marseille, France
| | - Pierre-Eric Lutz
- Centre National de la Recherche Scientifique, Université de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives UPR3212, F-67000 Strasbourg, France
| | - Sébastien Gard
- Fondation Fondamental, F-94010, Créteil, France; Pôle de Psychiatrie Générale et Universitaire, Centre Hospitalier Charles Perrens, Bordeaux, France
| | - Raymund Schwan
- Fondation Fondamental, F-94010, Créteil, France; Université de Lorraine, Centre Psychothérapique de Nancy, Inserm U1254, Nancy, France
| | - Mircea Polosan
- Fondation Fondamental, F-94010, Créteil, France; Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble, Institut Neurosciences, Grenoble, France
| | - Philippe Courtet
- Fondation Fondamental, F-94010, Créteil, France; IGF, Univ. Montpellier France, CNRS, INSERM, Montpellier, France; Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - Christine Passerieux
- Fondation Fondamental, F-94010, Créteil, France; Centre Hospitalier de Versailles, Service Universitaire de Psychiatrie d'adulte et d'addictologie, Le Chesnay, France; DisAP-DevPsy-CESP, INSERM UMR1018, Université de Versailles Saint-Quentin-En-Yvelines, Université Paris-Saclay, Villejuif, France
| | - Frank Bellivier
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France; Département de Psychiatrie et de Médecine Addictologique, Hôpitaux Lariboisière-Fernand Widal, GHU APHP.Nord - Université de Paris, Paris, F-75010, France; Fondation Fondamental, F-94010, Créteil, France
| | - Cynthia Marie-Claire
- Université Paris Cité, Inserm, Optimisation Thérapeutique en Neuropsychopharmacologie, F-75006 Paris, France
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10
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Smith DA, Sadler MC, Altman RB. Promises and challenges in pharmacoepigenetics. CAMBRIDGE PRISMS. PRECISION MEDICINE 2023; 1:e18. [PMID: 37560024 PMCID: PMC10406571 DOI: 10.1017/pcm.2023.6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 08/11/2023]
Abstract
Pharmacogenetics, the study of how interindividual genetic differences affect drug response, does not explain all observed heritable variance in drug response. Epigenetic mechanisms, such as DNA methylation, and histone acetylation may account for some of the unexplained variances. Epigenetic mechanisms modulate gene expression and can be suitable drug targets and can impact the action of nonepigenetic drugs. Pharmacoepigenetics is the field that studies the relationship between epigenetic variability and drug response. Much of this research focuses on compounds targeting epigenetic mechanisms, called epigenetic drugs, which are used to treat cancers, immune disorders, and other diseases. Several studies also suggest an epigenetic role in classical drug response; however, we know little about this area. The amount of information correlating epigenetic biomarkers to molecular datasets has recently expanded due to technological advances, and novel computational approaches have emerged to better identify and predict epigenetic interactions. We propose that the relationship between epigenetics and classical drug response may be examined using data already available by (1) finding regions of epigenetic variance, (2) pinpointing key epigenetic biomarkers within these regions, and (3) mapping these biomarkers to a drug-response phenotype. This approach expands on existing knowledge to generate putative pharmacoepigenetic relationships, which can be tested experimentally. Epigenetic modifications are involved in disease and drug response. Therefore, understanding how epigenetic drivers impact the response to classical drugs is important for improving drug design and administration to better treat disease.
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Affiliation(s)
- Delaney A Smith
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Marie C Sadler
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- University Center for Primary Care and Public Health, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Russ B Altman
- Department of Bioengineering, Stanford University, Stanford, CA, USA
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11
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Castle D, Feusner J, Laposa JM, Richter PMA, Hossain R, Lusicic A, Drummond LM. Psychotherapies and digital interventions for OCD in adults: What do we know, what do we need still to explore? Compr Psychiatry 2023; 120:152357. [PMID: 36410261 PMCID: PMC10848818 DOI: 10.1016/j.comppsych.2022.152357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 08/07/2022] [Accepted: 11/14/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Despite significant advances in the understanding and treatment of obsessive compulsive disorder (OCD), current treatment options are limited in terms of efficacy for symptom remission. Thus, assessing the potential role of iterative or alternate psychotherapies is important. Also, the potential role of digital technologies to enhance the accessibility of these therapies, should not be underestimated. We also need to embrace the idea of a more personalized treatment choice, being cognisant of clinical, genetic and neuroimaging predictors of treatment response. PROCEDURES Non-systematic review of current literature on emerging psychological and digital therapies for OCD, as well as of potential biomarkers of treatment response. FINDINGS A number of 'third wave' therapies (e.g., Acceptance and Commitment Therapy, Mindfulness-Based Cognitive Therapy) have an emerging and encouraging evidence base in OCD. Other approaches entail employment of elements of other psychotherapies such as Dialectical Behaviour Therapy; or trauma-focussed therapies such as Eye Movement Desensitisation and Reprocessing, and Imagery Rescripting and Narrative Therapy. Further strategies include Danger Ideation Reduction Therapy and Habit Reversal. For these latter approaches, large-scale randomised controlled trials are largely lacking, and the precise role of these therapies in treating people with OCD, remains to be clarified. A concentrated 4-day program (the Bergen program) has shown promising short- and long-term results. Exercise, music, and art therapy have not been adequately tested in people with OCD, but may have an adjunctive role. Digital technologies are being actively investigated for enhancing reach and efficacy of psychological therapies for OCD. Biomarkers, including genetic and neuroimaging, are starting to point to a future with more 'personalised medicine informed' treatment strategizing for OCD. CONCLUSIONS There are a number of potential psychological options for the treatment of people with OCD who do not respond adequately to exposure/response prevention or cognitive behaviour therapy. Adjunctive exercise, music, and art therapy might be useful, albeit the evidence base for these is very small. Consideration should be given to different ways of delivering such interventions, including group-based, concentrated, inpatient, or with outreach, where appropriate. Digital technologies are an emerging field with a number of potential applications for aiding the treatment of OCD. Biomarkers for treatment response determination have much potential capacity and deserve further empirical testing.
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Affiliation(s)
- David Castle
- Centre for Addiction and Mental Health, 60 White Squirrel Way, Toronto, Ontario M6J 1H4, Canada; Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario M5T 1R8, Canada.
| | - Jamie Feusner
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario M5T 1R8, Canada; Centre for Addiction and Mental Health, 250 College Street, Toronto, Ontario M5T 1RB, Canada
| | - Judith M Laposa
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario M5T 1R8, Canada; Campbell Family Mental Health Research Institute, Center for Addiction and Mental Health, 100 Stokes St., Toronto, Ontario M6J 1H4, Canada
| | - Peggy M A Richter
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario M5T 1R8, Canada; Frederick W Thompson Anxiety Disorders Centre, Sunnybrook Health Sciences Centre, 2075 Bayview, Toronto, Ontario M4N 3M5, Canada
| | - Rahat Hossain
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario M5T 1R8, Canada
| | - Ana Lusicic
- Centre for Addiction and Mental Health, 60 White Squirrel Way, Toronto, Ontario M6J 1H4, Canada; Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario M5T 1R8, Canada
| | - Lynne M Drummond
- Service for OCD/ BDD, South-West London and St George's NHS Trust, Glenburnie Road, London SW17 7DJ, United Kingdom
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12
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Cubillos S, Engmann O, Brancato A. BDNF as a Mediator of Antidepressant Response: Recent Advances and Lifestyle Interactions. Int J Mol Sci 2022; 23:ijms232214445. [PMID: 36430921 PMCID: PMC9698349 DOI: 10.3390/ijms232214445] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/08/2022] [Accepted: 11/16/2022] [Indexed: 11/22/2022] Open
Abstract
Conventional antidepressants are widely employed in several psychiatric and neurologic disorders, yet the mechanisms underlying their delayed and partial therapeutic effects are only gradually being understood. This narrative review provides an up-to-date overview of the interplay between antidepressant treatment and Brain-Derived Neurotrophic Factor (BDNF) signaling. In addition, the impact of nutritional, environmental and physiological factors on BDNF and the antidepressant response is outlined. This review underlines the necessity to include information on lifestyle choices in testing and developing antidepressant treatments in the future.
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Affiliation(s)
- Susana Cubillos
- Institute for Biochemistry and Biophysics, Friedrich-Schiller-University Jena, 07745 Jena, Germany
| | - Olivia Engmann
- Institute for Biochemistry and Biophysics, Friedrich-Schiller-University Jena, 07745 Jena, Germany
- Correspondence:
| | - Anna Brancato
- Department of Sciences for Health Promotion and Mother and Child Care “G. D’Alessandro”, University of Palermo, 90127 Palermo, Italy
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13
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Domingos LB, Silva NR, Chaves Filho AJM, Sales AJ, Starnawska A, Joca S. Regulation of DNA Methylation by Cannabidiol and Its Implications for Psychiatry: New Insights from In Vivo and In Silico Models. Genes (Basel) 2022; 13:2165. [PMID: 36421839 PMCID: PMC9690868 DOI: 10.3390/genes13112165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/11/2022] [Accepted: 11/16/2022] [Indexed: 12/24/2023] Open
Abstract
Cannabidiol (CBD) is a non-psychotomimetic compound present in cannabis sativa. Many recent studies have indicated that CBD has a promising therapeutic profile for stress-related psychiatric disorders, such as anxiety, schizophrenia and depression. Such a diverse profile has been associated with its complex pharmacology, since CBD can target different neurotransmitter receptors, enzymes, transporters and ion channels. However, the precise contribution of each of those mechanisms for CBD effects is still not yet completely understood. Considering that epigenetic changes make the bridge between gene expression and environment interactions, we review and discuss herein how CBD affects one of the main epigenetic mechanisms associated with the development of stress-related psychiatric disorders: DNA methylation (DNAm). Evidence from in vivo and in silico studies indicate that CBD can regulate the activity of the enzymes responsible for DNAm, due to directly binding to the enzymes and/or by indirectly regulating their activities as a consequence of neurotransmitter-mediated signaling. The implications of this new potential pharmacological target for CBD are discussed in light of its therapeutic and neurodevelopmental effects.
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Affiliation(s)
- Luana B. Domingos
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Nicole R. Silva
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Adriano J. M. Chaves Filho
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, 8200 Aarhus, Denmark
| | - Amanda J. Sales
- Department of Pharmacology, School of Medicine of Ribeirao Preto, University of Sao Paulo, Ribeirao Preto 14049-900, SP, Brazil
| | - Anna Starnawska
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, 8000 Aarhus, Denmark
- Center for Genomics and Personalized Medicine, CGPM, Center for Integrative Sequencing, iSEQ, 8000 Aarhus, Denmark
| | - Sâmia Joca
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
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14
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Mohammadi S, Beh-Pajooh A, Ahmadimanesh M, Amini M, Ghazi-Khansari M, Moallem SA, Hosseini R, Nourian YH, Ghahremani MH. Evaluation of DNA methylation in BDNF, SLC6A4, NR3C1 and FKBP5 before and after treatment with selective serotonin-reuptake inhibitor in major depressive disorder. Epigenomics 2022; 14:1269-1280. [DOI: 10.2217/epi-2022-0246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Aim: To identify the DNA methylation status of related genes in major depressive disorder following selective serotonin-reuptake inhibitor treatment. Materials & methods: 45 patients with major depressive disorder and 45 healthy volunteers were considered experimental and control groups, respectively. High-resolution melting real-time PCR was implemented to evaluate DNA methylation. Results: After 100 days of selective serotonin-reuptake inhibitor treatment, methylation of promoter CpG sites of BDNF, NR3C1, FKBP5 and SLC6A4 was significantly reduced. Compared with before treatment, patients' Hamilton Depression Rating Scale scores were significantly reduced after selective serotonin-reuptake inhibitor treatment (p ≤ 0.0001). Conclusion: Based on the proven effect of antidepressants on DNA methylation and gene expression, these medications can improve the treatment process and reduce depression scores after treatment.
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Affiliation(s)
- Saeid Mohammadi
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Abbas Beh-Pajooh
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahnaz Ahmadimanesh
- Department of Pharmacodynamics and Toxicology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohsen Amini
- Department of Medicinal Chemistry, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahmoud Ghazi-Khansari
- Department of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Adel Moallem
- Department of Pharmacodynamics and Toxicology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Pharmacology and Toxicology, College of Pharmacy, Al-Zahraa University for Women, Karbala, Iraq
| | - Rohollah Hosseini
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Yazdan Hasani Nourian
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hossein Ghahremani
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
- Toxicology and Poisoning Research Center, Tehran University of Medical Sciences, Tehran, Iran
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15
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Bowler S, Papoutsoglou G, Karanikas A, Tsamardinos I, Corley MJ, Ndhlovu LC. A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severity. Sci Rep 2022; 12:17480. [PMID: 36261477 PMCID: PMC9580434 DOI: 10.1038/s41598-022-22201-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 10/11/2022] [Indexed: 01/12/2023] Open
Abstract
Since the onset of the COVID-19 pandemic, increasing cases with variable outcomes continue globally because of variants and despite vaccines and therapies. There is a need to identify at-risk individuals early that would benefit from timely medical interventions. DNA methylation provides an opportunity to identify an epigenetic signature of individuals at increased risk. We utilized machine learning to identify DNA methylation signatures of COVID-19 disease from data available through NCBI Gene Expression Omnibus. A training cohort of 460 individuals (164 COVID-19-infected and 296 non-infected) and an external validation dataset of 128 individuals (102 COVID-19-infected and 26 non-COVID-associated pneumonia) were reanalyzed. Data was processed using ChAMP and beta values were logit transformed. The JADBio AutoML platform was leveraged to identify a methylation signature associated with severe COVID-19 disease. We identified a random forest classification model from 4 unique methylation sites with the power to discern individuals with severe COVID-19 disease. The average area under the curve of receiver operator characteristic (AUC-ROC) of the model was 0.933 and the average area under the precision-recall curve (AUC-PRC) was 0.965. When applied to our external validation, this model produced an AUC-ROC of 0.898 and an AUC-PRC of 0.864. These results further our understanding of the utility of DNA methylation in COVID-19 disease pathology and serve as a platform to inform future COVID-19 related studies.
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Affiliation(s)
- Scott Bowler
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, 413 E 69th St, New York, NY, 10021, USA
| | - Georgios Papoutsoglou
- JADBio - Gnosis DA S.A, Science and Technology Park of Crete, 70013, Heraklion, Greece
| | - Aristides Karanikas
- JADBio - Gnosis DA S.A, Science and Technology Park of Crete, 70013, Heraklion, Greece
| | - Ioannis Tsamardinos
- JADBio - Gnosis DA S.A, Science and Technology Park of Crete, 70013, Heraklion, Greece
- Department of Computer Science, University of Crete, 70013, Heraklion, Greece
| | - Michael J Corley
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, 413 E 69th St, New York, NY, 10021, USA
| | - Lishomwa C Ndhlovu
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, 413 E 69th St, New York, NY, 10021, USA.
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16
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Šalamon Arčan I, Kouter K, Videtič Paska A. Depressive disorder and antidepressants from an epigenetic point of view. World J Psychiatry 2022; 12:1150-1168. [PMID: 36186508 PMCID: PMC9521527 DOI: 10.5498/wjp.v12.i9.1150] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/27/2022] [Accepted: 08/05/2022] [Indexed: 02/05/2023] Open
Abstract
Depressive disorder is a complex, heterogeneous disease that affects approximately 280 million people worldwide. Environmental, genetic, and neurobiological factors contribute to the depressive state. Since the nervous system is susceptible to shifts in activity of epigenetic modifiers, these allow for significant plasticity and response to rapid changes in the environment. Among the most studied epigenetic modifications in depressive disorder is DNA methylation, with findings centered on the brain-derived neurotrophic factor gene, the glucocorticoid receptor gene, and the serotonin transporter gene. In order to identify biomarkers that would be useful in clinical settings, for diagnosis and for treatment response, further research on antidepressants and alterations they cause in the epigenetic landscape throughout the genome is needed. Studies on cornerstone antidepressants, such as selective serotonin reuptake inhibitors, selective serotonin and norepinephrine reuptake inhibitors, norepinephrine, and dopamine reuptake inhibitors and their effects on depressive disorder are available, but systematic conclusions on their effects are still hard to draw due to the highly heterogeneous nature of the studies. In addition, two novel drugs, ketamine and esketamine, are being investigated particularly in association with treatment of resistant depression, which is one of the hot topics of contemporary research and the field of precision psychiatry.
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Affiliation(s)
- Iris Šalamon Arčan
- Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana SI-1000, Slovenia
| | - Katarina Kouter
- Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana SI-1000, Slovenia
| | - Alja Videtič Paska
- Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana SI-1000, Slovenia
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17
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Olashore AA, Brooks W, Roy H, Adebayo FA, Chiliza B. Psychiatric disorders and associated risk factors in a sample of adolescents in Gaborone, Botswana: a cross-sectional study. BMC Pediatr 2022; 22:381. [PMID: 35768787 PMCID: PMC9244366 DOI: 10.1186/s12887-022-03435-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/20/2022] [Indexed: 11/10/2022] Open
Abstract
Background Despite the high proportion of adolescents living with mental health issues in low- to middle-income countries (LMICs), especially in Botswana, there is a significant deficit of local research to guide an increase in prevention and treatment. We, therefore, aimed to assess the prevalence and associated risk factors of psychiatric disorders (PD) in a sample of secondary school students in Botswana. Methods This cross-sectional study included 750 students from the 13 public secondary schools in Gaborone using a multi-stage sampling technique. The Mini-International Neuropsychiatric Interview for Children and Adolescents (MINI-KID) was used to screen for PDs. Results The participant’s mean age was 15.26 and SD 1.57 years, with 53.6% being female. Approximately 34% had a PD, with depression being the commonest, of whom 35% were neither receiving treatment nor aware of the available services. Perinatal complications (AOR = 4.29; 95%CI: 1.04–17.70), a family history of mental illness (AOR = 2.19; 95%CI: 1.17–4.11) and substance-related problems (AOR = 1.80; 95% CI:1.22–2.65) predicted the likelihood of developing PD. Conclusions Our findings revealed that adolescents in Botswana have many mental health issues which may affect their developmental phases. A multi-sectoral collaboration is needed for the timely detection of identified risk factors and initiation of the necessary prevention and treatment measures.
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Affiliation(s)
- Anthony A Olashore
- Department of Psychiatry, Faculty of Medicine, University of Botswana, Gaborone, Botswana. .,Department of Psychiatry, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
| | - Wendy Brooks
- Department of Psychiatry, Faculty of Medicine, University of Botswana, Gaborone, Botswana
| | - Hlanganiso Roy
- Department of Psychiatry, Faculty of Medicine, University of Botswana, Gaborone, Botswana
| | | | - Bonginkosi Chiliza
- Department of Psychiatry, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
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18
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Han KM, Choi KW, Kim A, Kang W, Kang Y, Tae WS, Han MR, Ham BJ. Association of DNA Methylation of the NLRP3 Gene with Changes in Cortical Thickness in Major Depressive Disorder. Int J Mol Sci 2022; 23:ijms23105768. [PMID: 35628578 PMCID: PMC9143533 DOI: 10.3390/ijms23105768] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/19/2022] [Accepted: 05/20/2022] [Indexed: 11/16/2022] Open
Abstract
The Nod-like receptor pyrin containing 3 (NLRP3) inflammasome has been reported to be a convergent point linking the peripheral immune response induced by psychological stress and neuroinflammatory processes in the brain. We aimed to identify differences in the methylation profiles of the NLRP3 gene between major depressive disorder (MDD) patients and healthy controls (HCs). We also investigated the correlation of the methylation score of loci in NLRP3 with cortical thickness in the MDD group using magnetic resonance imaging (MRI) data. A total of 220 patients with MDD and 82 HCs were included in the study, and genome-wide DNA methylation profiling of the NLRP3 gene was performed. Among the total sample, 88 patients with MDD and 74 HCs underwent T1-weighted structural MRI and were included in the neuroimaging–methylation analysis. We identified five significant differentially methylated positions (DMPs) in NLRP3. In the MDD group, the methylation scores of cg18793688 and cg09418290 showed significant positive or negative correlations with cortical thickness in the occipital, parietal, temporal, and frontal regions, which showed significant differences in cortical thickness between the MDD and HC groups. Our findings suggest that NLRP3 DNA methylation may predispose to depression-related brain structural changes by increasing NLRP3 inflammasome-related neuroinflammatory processes in MDD.
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Affiliation(s)
- Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea; (K.-M.H.); (K.W.C.)
| | - Kwan Woo Choi
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea; (K.-M.H.); (K.W.C.)
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Korea; (A.K.); (W.K.); (Y.K.)
| | - Wooyoung Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Korea; (A.K.); (W.K.); (Y.K.)
| | - Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Korea; (A.K.); (W.K.); (Y.K.)
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University College of Medicine, Seoul 02841, Korea;
| | - Mi-Ryung Han
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea
- Correspondence: (M.-R.H.); (B.-J.H.)
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul 02841, Korea; (K.-M.H.); (K.W.C.)
- Correspondence: (M.-R.H.); (B.-J.H.)
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19
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de Witte LD, Wang Z, Snijders GLJL, Mendelev N, Liu Q, Sneeboer MAM, Boks MPM, Ge Y, Haghighi F. Contribution of Age, Brain Region, Mood Disorder Pathology, and Interindividual Factors on the Methylome of Human Microglia. Biol Psychiatry 2022; 91:572-581. [PMID: 35027166 PMCID: PMC11181298 DOI: 10.1016/j.biopsych.2021.10.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 10/20/2021] [Accepted: 10/21/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Transcriptome studies have revealed age-, disease-, and region-associated microglial phenotypes reflecting changes in microglial function during development, aging, central nervous system homeostasis, and pathology. The molecular mechanisms that contribute to these transcriptomic changes are largely unknown. The aim of this study was to characterize the DNA methylation landscape of human microglia and the factors that contribute to variations in the microglia methylome. We hypothesized that both age and brain region would have a large impact on DNA methylation in microglia. METHODS Microglia from postmortem brain tissue of four different brain regions of 22 donors, encompassing 1 patient with schizophrenia, 13 patients with mood disorder pathology, and 8 control subjects, were isolated and assayed using a genome-wide methylation array. RESULTS We found that human microglial cells have a methylation profile distinct from bulk brain tissue and neurons, and age explained a considerable part of the variation. Additionally, we showed that interindividual factors had a much larger effect on the methylation landscape of microglia than brain region, which was also seen at the transcriptome level. In our exploratory analysis, we found various differentially methylated regions that were related to disease status (mood disorder vs. control). This included differentially methylated regions that are linked to gene expression in microglia, as well as to myeloid cell function or neuropsychiatric disorders. CONCLUSIONS Although based on relatively small samples, these findings suggest that the methylation profile of microglia is responsive to interindividual variations and thereby plays an important role in the heterogeneity of microglia observed at the transcriptome level.
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Affiliation(s)
- Lot D de Witte
- Mental Illness Research, Education and Clinical Center, James J Peters VA Medical Center, Bronx, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Zhaoyu Wang
- Mental Illness Research, Education and Clinical Center, James J Peters VA Medical Center, Bronx, New York; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Gijsje L J L Snijders
- Mental Illness Research, Education and Clinical Center, James J Peters VA Medical Center, Bronx, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Natalia Mendelev
- Mental Illness Research, Education and Clinical Center, James J Peters VA Medical Center, Bronx, New York; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Qingkun Liu
- Mental Illness Research, Education and Clinical Center, James J Peters VA Medical Center, Bronx, New York; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Marjolein A M Sneeboer
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, University Medical Center Utrecht, UMC Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands; Department of Translational Neuroscience, University Medical Center Utrecht, UMC Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Marco P M Boks
- Department of Psychiatry, University Medical Center Utrecht, UMC Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands
| | - Yongchao Ge
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Fatemeh Haghighi
- Mental Illness Research, Education and Clinical Center, James J Peters VA Medical Center, Bronx, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York.
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20
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Metabolizing status of CYP2C19 in response and side effects to medications for depression: Results from a naturalistic study. Eur Neuropsychopharmacol 2022; 56:100-111. [PMID: 35152032 DOI: 10.1016/j.euroneuro.2022.01.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 01/17/2022] [Accepted: 01/19/2022] [Indexed: 12/19/2022]
Abstract
Major depressive disorder (MDD) is one of the leading causes of disability worldwide. Polymorphisms in cytochrome P450 genes (CYP450) were demonstrated to play a significant role in antidepressant response and side effects, but their effect in real-world clinical practice is poorly known. We determined the metabolic status of CYP2C19 based on the combination of *1, *2, *3 and *17 alleles extracted from genome-wide data in 1239 patients with MDD, pharmacologically treated in a naturalistic setting. Symptom improvement and side effects were assessed using the Montgomery and Åsberg Depression Rating Scale and the Udvalg for Kliniske Undersøgelse scale, respectively. We tested if symptom improvement, response and side effects were associated with CYP2C19 metabolic status adjusting for potential confounders. We considered patients treated with drugs for depression having CYP2C19 genotyping recommended by guidelines (T1 Drugs); secondarily, with all psychotropic drugs having CYP2C19 as relevant metabolic path (T2 Drugs). In the group treated with T1 drugs (n = 540), poor metabolizers (PMs) showed higher response and higher symptom improvement compared to normal metabolizers (p = 0.023 and p = 0.009, respectively), but also higher risk of autonomic and neurological side effects (p = 0.022 and p = 0.022 respectively). In patients treated with T2 drugs (n = 801), similar results were found. No associations between metabolizer status and other types of side effects were found (psychic and other side effects). Our study suggests potential advantages of CYP2C19 pharmacogenetic testing to guide treatment prescription, that may not be limited to the drugs currently recommended by guidelines.
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21
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Zhang Y, Wang M, Zhang X, Jiang Z, Zhang Y, Fu X, Li Y, Cao D, Han J, Tong J. Helicid Improves Lipopolysaccharide-Induced Apoptosis of C6 Cells by Regulating SH2D5 DNA Methylation via the CytC/Caspase9/Caspase3 Signaling Pathway. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:9242827. [PMID: 35173561 PMCID: PMC8820944 DOI: 10.1155/2022/9242827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/30/2021] [Accepted: 01/10/2022] [Indexed: 11/25/2022]
Abstract
DNA methylation is reportedly associated with stress responses and depression. Treatment with antidepressants can regulate DNA methylation and, subsequently, gene expression in the hippocampus. Hence, DNA methylation is a potential target for treatment of depression. Screening of high-throughput data of a rat model of chronic unpredictable mild stress revealed relatively low expression of SH2 domain-containing 5 (SH2D5). SH2D5 can be overexpressed by treatment with helicid. Therefore, in order to further explore the role of SH2D5 in depression and whether helicid mediates the DNA methylation of SH2D5 as a potential antidepressant role, SH2D5 was overexpressed in C6 cells as a lipopolysaccharides (LPS)-induced model of depression. The expression levels of Bax, Bcl-2, Bad, and Daxx, and changes to the CytC/caspase9/caspase3 signal pathway were detected by qRT-PCR and Western blot analyses. After treatment with helicid or silencing of SH2D5, the above indices were detected. The results showed that helicid regulated the CytC/caspase9/caspase3 signaling pathway and improved the apoptosis indices of C6 cells through the overexpression of SH2D5. Interestingly, silencing of SH2D5 reversed the effects of helicid on the above indices. Then, in order to study the underlying mechanism, the cells were administered to helicid or 5-aza-2'-deoxycytidine (5-AzaD) and expression of SH2D5 was detected by qRT-PCR and Western blot analyses, while to assess the DNA methylation level of SH2D5 using bisulfite sequencing/PCR. The results showed that SH2D5 was hypermethylated with low expression in LPS-induced C6 cells, which was reversed by helicid and 5-AzaD. These results suggest that helicid may affect the CytC/caspase9/caspase3 apoptosis signaling pathway and improve the apoptosis indices by mediating DNA methylation of SH2D5.
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Affiliation(s)
- Yuan Zhang
- The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu 241001, Anhui, China
- Wannan Medical College, Wuhu 241002, Anhui, China
| | - Mei Wang
- The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu 241001, Anhui, China
- Wannan Medical College, Wuhu 241002, Anhui, China
| | - Xiaotong Zhang
- The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu 241001, Anhui, China
- Wannan Medical College, Wuhu 241002, Anhui, China
| | - Zhenyi Jiang
- The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu 241001, Anhui, China
- Wannan Medical College, Wuhu 241002, Anhui, China
| | | | - Xiangjun Fu
- The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu 241001, Anhui, China
- Wannan Medical College, Wuhu 241002, Anhui, China
| | - Yanna Li
- The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu 241001, Anhui, China
- Wannan Medical College, Wuhu 241002, Anhui, China
| | - Danping Cao
- The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu 241001, Anhui, China
- Wannan Medical College, Wuhu 241002, Anhui, China
| | - Jun Han
- Wannan Medical College, Wuhu 241002, Anhui, China
- Anhui Provincial Engineering Laboratory for Screening and Re-evaluation of Active Compounds of Herbal Medicines, Southern Anhui, Wuhu 241002, Anhui, China
| | - Jiucui Tong
- The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu 241001, Anhui, China
- Anhui Provincial Engineering Laboratory for Screening and Re-evaluation of Active Compounds of Herbal Medicines, Southern Anhui, Wuhu 241002, Anhui, China
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22
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Bandeira IC, Giombelli L, Werlang IC, Abujamra AL, Secchi TL, Brondani R, Bragatti JA, Bizzi JWJ, Leistner-Segal S, Bianchin MM. Methylation of BDNF and SLC6A4 Gene Promoters in Brazilian Patients With Temporal Lobe Epilepsy Presenting or Not Psychiatric Comorbidities. Front Integr Neurosci 2021; 15:764742. [PMID: 34912196 PMCID: PMC8667271 DOI: 10.3389/fnint.2021.764742] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 10/25/2021] [Indexed: 01/09/2023] Open
Abstract
The relationship between epilepsy and psychiatric comorbidities has been recognized for centuries, but its pathophysiological mechanisms are still misunderstood. It is biologically plausible that genetic or epigenetic variations in genes that codify important neurotransmitters involved in epilepsy as well as in psychiatric disorders may influence the development of the latter in patients with epilepsy. However, this possibility remains poorly investigated. The aim of this study was to evaluate the methylation profile of the BDNF and SLC6A4, two genes importantly involved in neuroplasticity, in patients with temporal lobe epilepsy (TLE) regarding the development or not of psychiatric comorbidities. One hundred and thirty-nine patients with TLE, 90 females and 45 males, were included in the study. The mean age of patients was 44.0 (+12.0) years, and mean duration of epilepsy was 25.7 (+13.3) years. The Structured Clinical Interview for DSM-IV shows that 83 patients (59.7%) had neuropsychiatric disorders and 56 (40.3%) showed no psychiatric comorbidity. Mood disorders were the most common psychiatric disorder observed, being present in 64 (46.0%) of all 139 patients. Thirty-three (23.7%) patients showed anxiety disorders, 10 (7.2%) patients showed history of psychosis and 8 (5.8%) patients showed history of alcohol//drug abuse. Considering all 139 patients, 18 (12.9%) demonstrated methylation of the promoter region of both BDNF and SLC6A4 genes. A significant decreased methylation profile was observed only in TLE patients with mood disorders when compared with TLE patients without a history of mood disorders (O.R. = 3.45; 95% C.I. = 1.08–11.11; p = 0.04). A sub-analysis showed that TLE patients with major depressive disorder mostly account for this result (O.R. = 7.20; 95% C.I. = 1.01–56.16; p = 0.042). A logistic regression analysis showed that the independent factors associated with a history of depression in our TLE patients was female sex (O.R. = 2.30; 95% C.I. = 1.02–5.18; p = 0.044), not controlled seizures (O.R. = 2.51; 95% C.I. = 1.16–5.41; p = 0.019) and decreased methylation in BDNF and SLC6A4 genes (O.R. = 5.32; 95% C.I. = 1.14–25.00; p = 0.033). Our results suggest that BDNF or SLC6A4 genes profile methylation is independently associated with depressive disorders in patients with epilepsy. Further studies are necessary to clarify these matters.
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Affiliation(s)
- Isabel Cristina Bandeira
- Graduate Program in Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Basic Research and Advanced Investigations in Neurosciences, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Lucas Giombelli
- Basic Research and Advanced Investigations in Neurosciences, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Isabel Cristina Werlang
- Graduate Program in Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Basic Research and Advanced Investigations in Neurosciences, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Ana Lucia Abujamra
- Graduate Program in Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Thais Leite Secchi
- Graduate Program in Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Rosane Brondani
- Graduate Program in Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Division of Neurology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | | | | | - Sandra Leistner-Segal
- Basic Research and Advanced Investigations in Neurosciences, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Medical Genetics Service, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Marino Muxfeldt Bianchin
- Graduate Program in Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Basic Research and Advanced Investigations in Neurosciences, Experimental Research Center, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Division of Neurology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Centro de Tratamento de Epilepsia Refratária (CETER), Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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Adanty C, Shakeri A, Strauss J, Graff A, De Luca V. Head-to-head comparison of various antipsychotic agents on genome-wide methylation in schizophrenia. Pharmacogenomics 2021; 23:5-14. [PMID: 34787483 DOI: 10.2217/pgs-2021-0113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: To explore possible differences in genome-wide methylation between schizophrenia patients who consume various antipsychotics. Methods: We compared DNA methylation in leukocytes between the following cohorts: clozapine (n = 19) versus risperidone (n = 19), clozapine (n = 12) versus olanzapine (n = 12), clozapine (n = 9) versus quetiapine (n = 9) and clozapine (n = 33) versus healthy controls (n = 33). Subjects were matched for age, sex, ethnicity, smoking status and leukocyte proportions. Results: No single CpG site reached genome-wide significance for clozapine versus risperidone/olanzapine/quetiapine. For clozapine versus quetiapine, one significantly differentially methylated region was found - ch5: 176797920-176798049 (fwer = 0.075). Clozapine versus healthy controls yielded thousands of significantly differentially methylated CpG sites. Conclusions: Establishing antipsychotic induced genome-wide methylation patterns will further elucidate the biological and clinical effects of antipsychotic administration.
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Affiliation(s)
| | - Ahmad Shakeri
- Centre for Addiction & Mental Health, Toronto, Canada
| | - John Strauss
- Centre for Addiction & Mental Health, Toronto, Canada
| | - Ariel Graff
- Centre for Addiction & Mental Health, Toronto, Canada
| | - Vincenzo De Luca
- Centre for Addiction & Mental Health, Toronto, Canada.,St Michael's Hospital, Toronto, Canada
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Subtypes of schizophrenia identified by multi-omic measures associated with dysregulated immune function. Mol Psychiatry 2021; 26:6926-6936. [PMID: 34588622 DOI: 10.1038/s41380-021-01308-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 08/08/2021] [Accepted: 09/14/2021] [Indexed: 02/05/2023]
Abstract
Epigenetic modifications are plausible molecular sources of phenotypic heterogeneity across schizophrenia patients. The current study investigated biological heterogeneity in schizophrenia using peripheral epigenetic profiles to delineate illness subtypes independent of their phenomenological manifestations. We applied epigenome-wide profiling with a DNA methylation array from blood samples of 63 schizophrenia patients and 59 healthy controls. Non-negative matrix factorization (NMF) and k-means clustering were performed to identify DNA methylation-related patient subtypes. The validity of the partition was tested by assessing the profile of the T cell receptor (TCR) repertoires. The uniqueness of the identified subtypes in relation to brain structural and clinical measures were evaluated. Two distinct patterns of DNA methylation profiles were identified in patients. One subtype (60.3% of patients) showed relatively limited changes in methylation levels and cell composition compared to controls, while a second subtype (39.7% of patients) exhibited widespread methylation level alterations among genes enriched in immune cell activity, as well as a higher proportion of neutrophils and lower proportion of lymphocytes. Differentiation of the two patient subtypes was validated by TCR repertoires, which paralleled the partition based on DNA methylation profiles. The subtype with widespread methylation modifications had higher symptom severity, performed worse on cognitive measures, and displayed greater reductions in fractional anisotropy of white matter tracts and evidence of gray matter thickening compared to the other subtype. Identification of a distinct subtype of schizophrenia with unique molecular, cerebral, and clinical features provide a novel parcellation of the schizophrenia syndrome with potential to guide development of individualized therapeutics.
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Scherf-Clavel M, Weber H, Deckert J, Erhardt-Lehmann A. The role of pharmacogenetics in the treatment of anxiety disorders and the future potential for targeted therapeutics. Expert Opin Drug Metab Toxicol 2021; 17:1249-1260. [PMID: 34643143 DOI: 10.1080/17425255.2021.1991912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Anxiety disorders (AD) are among the most common mental disorders worldwide. Pharmacotherapy, including benzodiazepines, selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, and tricyclic antidepressants is currently based on 'trial-and-error,' and is effective in a subset of patients or produces partial response only. Recent research proposes that treatment response and tolerability of the drugs are associated with genetic factors. AREAS COVERED In the present review, we provide information on pharmacogenetics (PGx) in AD, including pharmacokinetic and pharmacodynamic genes. Moreover, we discuss the future potential of PGx for personalized treatment. EXPERT OPINION In psychiatry, PGx testing is still in its infancy, especially in the treatment of AD. As of today, implementation in clinical routine is recommended only for CYP2D6 and CYP2C19, mainly in terms of safety of treatment and potentially of treatment outcome in general. However, the evidence for PGx testing addressing pharmacodynamics for specific AD is limited to date. Nevertheless, PGx may develop into a valuable and promising tool to improve therapy in AD, but there is a need for more research to fully exploit its possibilities. Future perspectives include research into single genes, polygenic risk scores, and pharmacoepigenetics to provide targeted therapy.
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Affiliation(s)
- Maike Scherf-Clavel
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Heike Weber
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Angelika Erhardt-Lehmann
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany.,Translational Department, Max Planck Institute for Psychiatry, München, Germany
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26
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Xing Y, Sun T, Li G, Xu G, Cheng J, Gao S. The role of BDNF exon I region methylation in the treatment of depression with sertraline and its clinical diagnostic value. J Clin Lab Anal 2021; 35:e23993. [PMID: 34528295 PMCID: PMC8605126 DOI: 10.1002/jcla.23993] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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: 08/25/2021] [Indexed: 12/27/2022] Open
Abstract
Background Brain‐derived neurotrophic factor (BDNF) is considered to be one of the best candidate genes for depression. However, whether sertraline treatment affects the methylation level of this gene remains unknown. Methods Fifty‐three patients with depression and 51 healthy controls were included in the study. The methylation level of BDNF exon I was determined in blood samples from these subjects. The Hamilton Depression Scale was used to evaluate the depression status of patients. Single nucleotide polymorphism detection was used for genotyping, and a receiver operating characteristic (ROC) curve was used to evaluate the predictive value of the methylation level of this locus in patients with depression. Results There was a significant difference in the methylation level of BDNF exon I between the control and depression groups. No effect of sertraline monotherapy on BDNF methylation was found in subjects with depression. Moreover, no interaction was found between BDNF genotype and the per cent methylation of BDNF exon I. However, methylation at this site was positively correlated with diurnal variation and retardation scores. Blood homocysteine concentrations were significantly reduced by sertraline treatment. No influence of genotype on serum BDNF concentration was found in subjects with depression. The ROC curve showed that methylation of BDNF exon I may be used to distinguish patients from healthy people, to a certain extent. Conclusion Methylation of BDNF exon I may be used as a biomarker of depression and may be a therapeutic target for previously untreated depression.
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Affiliation(s)
- Yuhua Xing
- Department of Affective Disorder, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Ting Sun
- School of Medicine, Ningbo University, Ningbo, Zhejiang, China
| | - Guangxue Li
- Department of Affective Disorder, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Guoan Xu
- Department of Affective Disorder, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
| | - Jia Cheng
- Department of Affective Disorder, Ningbo Kangning Hospital, Ningbo, Zhejiang, China.,Zhongshan Hospital, Xiamen University, Xiamen, China
| | - Shugui Gao
- Department of Affective Disorder, Ningbo Kangning Hospital, Ningbo, Zhejiang, China
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Haga SB, Mills R, Moaddeb J, Liu Y, Voora D. Independent Community Pharmacists' Experience in Offering Pharmacogenetic Testing. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:877-886. [PMID: 34290521 PMCID: PMC8289463 DOI: 10.2147/pgpm.s314972] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/22/2021] [Indexed: 12/16/2022]
Abstract
Objective This study assessed pharmacist experiences with delivering pharmacogenetic (PGx) testing in independent community pharmacies. Methods We conducted a cluster randomized trial of independent community pharmacies in North Carolina randomized to provide either PGx testing as a standalone service or integrated into medication therapy management (MTM) services. Surveys and pharmacist data about the delivery of PGx testing were collected. Semi-structured interviews were also conducted. Results A total of 36 pharmacists participated in the study from 22 pharmacies. Sixteen pharmacists completed the pre-study and post-study surveys, and four pharmacists completed the semi-structured interviews. Thirty-one percent (11/36) of pharmacists had had some education in personalized medicine or PGx prior to the study. The only outcome that differed by study arm was the use of educational resources, with significantly higher utilization in the PGx testing only arm (p=0.007). Overall, compared to the pre-study assessment, pharmacists' knowledge about PGx significantly improved post-study (p=0.018). In the post-study survey, almost all pharmacists indicated that they felt qualified/able to provide PGx testing at their pharmacy. While 75% of pharmacists indicated that they may continue to provide PGx testing at their pharmacy after the study, the major concerns were lack of reimbursement for PGx counseling and consultation given the necessary time required. Conclusion Our findings demonstrated a positive experience with delivering PGx testing in the community pharmacy setting with little difference in pharmacists' experiences in providing PGx testing with or without MTM. Pharmacists were confident in their ability to provide PGx testing and were interested in continuing to offer testing, though sustained delivery may be challenged by lack of prescribing provider engagement and reimbursement.
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Affiliation(s)
- Susanne B Haga
- Center for Applied Genomics & Precision Medicine, Durham, NC, 27708, USA
| | - Rachel Mills
- Center for Applied Genomics & Precision Medicine, Durham, NC, 27708, USA
| | - Jivan Moaddeb
- Center for Applied Genomics & Precision Medicine, Durham, NC, 27708, USA
| | - Yiling Liu
- Center for Applied Genomics & Precision Medicine, Durham, NC, 27708, USA
| | - Deepak Voora
- Center for Applied Genomics & Precision Medicine, Durham, NC, 27708, USA
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