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Ling Z, Lan Z, Cheng Y, Liu X, Li Z, Yu Y, Wang Y, Shao L, Zhu Z, Gao J, Lei W, Ding W, Liao R. Altered gut microbiota and systemic immunity in Chinese patients with schizophrenia comorbid with metabolic syndrome. J Transl Med 2024; 22:729. [PMID: 39103909 PMCID: PMC11302365 DOI: 10.1186/s12967-024-05533-9] [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: 05/04/2024] [Accepted: 07/23/2024] [Indexed: 08/07/2024] Open
Abstract
BACKGROUND Metabolic syndrome (MetS) is highly prevalent in individuals with schizophrenia (SZ), leading to negative consequences like premature mortality. Gut dysbiosis, which refers to an imbalance of the microbiota, and chronic inflammation are associated with both SZ and MetS. However, the relationship between gut dysbiosis, host immunological dysfunction, and SZ comorbid with MetS (SZ-MetS) remains unclear. This study aims to explore alterations in gut microbiota and their correlation with immune dysfunction in SZ-MetS, offering new insights into its pathogenesis. METHODS AND RESULTS We enrolled 114 Chinese patients with SZ-MetS and 111 age-matched healthy controls from Zhejiang, China, to investigate fecal microbiota using Illumina MiSeq sequencing targeting 16 S rRNA gene V3-V4 hypervariable regions. Host immune responses were assessed using the Bio-Plex Pro Human Cytokine 27-Plex Assay to examine cytokine profiles. In SZ-MetS, we observed decreased bacterial α-diversity and significant differences in β-diversity. LEfSe analysis identified enriched acetate-producing genera (Megamonas and Lactobacillus), and decreased butyrate-producing bacteria (Subdoligranulum, and Faecalibacterium) in SZ-MetS. These altered genera correlated with body mass index, the severity of symptoms (as measured by the Scale for Assessment of Positive Symptoms and Scale for Assessment of Negative Symptoms), and triglyceride levels. Altered bacterial metabolic pathways related to lipopolysaccharide biosynthesis, lipid metabolism, and various amino acid metabolism were also found. Additionally, SZ-MetS exhibited immunological dysfunction with increased pro-inflammatory cytokines, which correlated with the differential genera. CONCLUSION These findings suggested that gut microbiota dysbiosis and immune dysfunction play a vital role in SZ-MetS development, highlighting potential therapeutic approaches targeting the gut microbiota. While these therapies show promise, further mechanistic studies are needed to fully understand their efficacy and safety before clinical implementation.
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Affiliation(s)
- Zongxin Ling
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, China.
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, 250000, China.
| | - Zhiyong Lan
- Department of Psychiatry, Quzhou Third Hospital, Quzhou, Zhejiang, 324003, China
| | - Yiwen Cheng
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, 250000, China
| | - Xia Liu
- Department of Intensive Care Unit, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, China
| | - Zhimeng Li
- Department of Psychiatry, Quzhou Third Hospital, Quzhou, Zhejiang, 324003, China
| | - Ying Yu
- Department of Psychiatry, Quzhou Third Hospital, Quzhou, Zhejiang, 324003, China
| | - Yuwei Wang
- Department of Psychiatry, Quzhou Third Hospital, Quzhou, Zhejiang, 324003, China
| | - Li Shao
- School of Clinical Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, 310015, China
| | - Zhangcheng Zhu
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China
| | - Jie Gao
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, China
| | - Wenhui Lei
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, 250000, China
- Department of Basic Medicine, Shandong First Medical University, Jinan, Shandong, 250000, China
| | - Wenwen Ding
- Department of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226001, China
| | - Rongxian Liao
- Department of Psychiatry, Quzhou Third Hospital, Quzhou, Zhejiang, 324003, China.
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Rawani NS, Chan AW, Dursun SM, Baker GB. The Underlying Neurobiological Mechanisms of Psychosis: Focus on Neurotransmission Dysregulation, Neuroinflammation, Oxidative Stress, and Mitochondrial Dysfunction. Antioxidants (Basel) 2024; 13:709. [PMID: 38929148 PMCID: PMC11200831 DOI: 10.3390/antiox13060709] [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: 03/25/2024] [Revised: 05/16/2024] [Accepted: 05/28/2024] [Indexed: 06/28/2024] Open
Abstract
Psychosis, defined as a set of symptoms that results in a distorted sense of reality, is observed in several psychiatric disorders in addition to schizophrenia. This paper reviews the literature relevant to the underlying neurobiology of psychosis. The dopamine hypothesis has been a major influence in the study of the neurochemistry of psychosis and in development of antipsychotic drugs. However, it became clear early on that other factors must be involved in the dysfunction involved in psychosis. In the current review, it is reported how several of these factors, namely dysregulation of neurotransmitters [dopamine, serotonin, glutamate, and γ-aminobutyric acid (GABA)], neuroinflammation, glia (microglia, astrocytes, and oligodendrocytes), the hypothalamic-pituitary-adrenal axis, the gut microbiome, oxidative stress, and mitochondrial dysfunction contribute to psychosis and interact with one another. Research on psychosis has increased knowledge of the complexity of psychotic disorders. Potential new pharmacotherapies, including combinations of drugs (with pre- and probiotics in some cases) affecting several of the factors mentioned above, have been suggested. Similarly, several putative biomarkers, particularly those related to the immune system, have been proposed. Future research on both pharmacotherapy and biomarkers will require better-designed studies conducted on an all stages of psychotic disorders and must consider confounders such as sex differences and comorbidity.
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Affiliation(s)
| | | | | | - Glen B. Baker
- Neurochemical Research Unit and Bebensee Schizophrenia Research Unit, Department of Psychiatry and Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB T6G 2G3, Canada; (N.S.R.); (A.W.C.); (S.M.D.)
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Minichino A, Preston T, Fanshawe JB, Fusar-Poli P, McGuire P, Burnet PWJ, Lennox BR. Psycho-Pharmacomicrobiomics: A Systematic Review and Meta-Analysis. Biol Psychiatry 2024; 95:611-628. [PMID: 37567335 DOI: 10.1016/j.biopsych.2023.07.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/13/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023]
Abstract
BACKGROUND Understanding the interactions between the gut microbiome and psychotropic medications (psycho-pharmacomicrobiomics) could improve treatment stratification strategies in psychiatry. In this systematic review and meta-analysis, we first explored whether psychotropics modify the gut microbiome; second, we investigated whether the gut microbiome affects the efficacy and tolerability of psychotropics. METHODS Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we searched (November 2022) for longitudinal and cross-sectional studies that investigated the effect of psychotropics on the gut microbiome. The primary outcome was the difference in diversity metrics (alpha and beta) before and after treatment with psychotropics (longitudinal studies) and in medicated compared with unmedicated individuals (cross-sectional studies). Secondary outcomes included the association between gut microbiome and efficacy and tolerability outcomes. Random effect meta-analyses were conducted on alpha diversity metrics, while beta diversity metrics were pooled using distance data extracted from graphs. Summary statistics included standardized mean difference and Higgins I2 for alpha diversity metrics and F and R values for beta diversity metrics. RESULTS Nineteen studies were included in our synthesis; 12 investigated antipsychotics and 7 investigated antidepressants. Results showed significant changes in alpha (4 studies; standard mean difference: 0.12; 95% CI: 0.01-0.23; p = .04; I2: 14%) and beta (F = 15.59; R2 = 0.05; p < .001) diversity metrics following treatment with antipsychotics and antidepressants, respectively. Altered gut microbiome composition at baseline was associated with tolerability and efficacy outcomes across studies, including response to antidepressants (2 studies; alpha diversity; standard mean difference: 2.45; 95% CI: 0.50-4.40; p < .001, I2: 0%). CONCLUSIONS Treatment with psychotropic medications is associated with altered gut microbiome composition, and the gut microbiome may in turn influence the efficacy and tolerability of these medications.
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Affiliation(s)
- Amedeo Minichino
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
| | - Tabitha Preston
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Jack B Fanshawe
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-Detection Lab, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; OASIS Service, South London and Maudsley NHS Foundation Trust, London, United Kingdom; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Philip W J Burnet
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Belinda R Lennox
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
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Vasileva SS, Yang Y, Baker A, Siskind D, Gratten J, Eyles D. Associations of the Gut Microbiome With Treatment Resistance in Schizophrenia. JAMA Psychiatry 2024; 81:292-302. [PMID: 38294805 PMCID: PMC10831632 DOI: 10.1001/jamapsychiatry.2023.5371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 11/09/2023] [Indexed: 02/01/2024]
Abstract
Importance There is growing interest in the role of gut microbiome composition in schizophrenia. However, lifestyle factors are often neglected, and few studies have investigated microbiome composition in treatment-resistant schizophrenia. Objective To explore associations between the gut microbiome and schizophrenia diagnosis, treatment resistance, clozapine response, and treatment-related adverse effects while adjusting for demographic and lifestyle factors. Design, Setting, and Participants In this case-control study of adults aged 20 to 63 years, stool samples and data on demographic characteristics, lifestyle, and medication use were collected and gut microbiome measures obtained using shotgun metagenomics. Participants with a schizophrenia diagnosis were referred through psychiatric inpatient units and outpatient clinics. Data were collected for 4 distinct groups: control individuals without a psychiatric diagnosis (past or present), individuals with treatment-responsive schizophrenia taking nonclozapine antipsychotic medications, clozapine-responsive individuals with treatment-resistant schizophrenia, and clozapine-nonresponsive individuals with treatment-resistant schizophrenia. Participants were recruited between November 2020 and November 2021. Control individuals were recruited in parallel through posters and online advertisements and matched for age, sex, and body mass index (BMI) to the individuals with schizophrenia. Participants were excluded if taking antibiotics in the past 2 months, if unable to communicate in English or otherwise follow study instructions, were pregnant or planning to become pregnant, or had any concomitant disease or condition making them unsuited to the study per investigator assessment. Data were analyzed from January 2022 to March 2023. Main Outcomes and Measures Omics relationship matrices, α and β diversity, and relative abundance of microbiome features. Results Data were collected for 97 individuals (71 [74%] male; mean [SD] age, 40.4 [10.3] years; mean [SD] BMI, 32.8 [7.4], calculated as weight in kilograms divided by height in meters squared). Significant microbiome associations with schizophrenia were observed at multiple taxonomic and functional levels (eg, common species: b2, 30%; SE, 13%; adjusted P = .002) and treatment resistance (eg, common species: b2, 27%; SE, 16%; adjusted P = .03). In contrast, limited evidence was found for microbiome associations with clozapine response, constipation, or metabolic syndrome. Significantly decreased microbial richness was found in individuals with schizophrenia compared to control individuals (t95 = 4.25; P < .001; mean [SD] for control individuals, 151.8 [32.31]; mean [SD] for individuals with schizophrenia, 117.00 [36.2]; 95% CI, 18.6-51.0), which remained significant after a covariate and multiple comparison correction. However, limited evidence was found for differences in β diversity (weighted UniFrac) for schizophrenia diagnosis (permutational multivariate analysis of variance [PERMANOVA]: R2, 0.03; P = .02), treatment resistance (R2, 0.02; P = .18), or clozapine response (R2, 0.04; P = .08). Multiple differentially abundant bacterial species (19) and metabolic pathways (162) were found in individuals with schizophrenia, which were primarily associated with treatment resistance and clozapine exposure. Conclusions and Relevance The findings in this study are consistent with the idea that clozapine induces alterations to gut microbiome composition, although the possibility that preexisting microbiome differences contribute to treatment resistance cannot be ruled out. These findings suggest that prior reports of microbiome alterations in individuals with chronic schizophrenia may be due to medication or lifestyle factors and that future studies should incorporate these variables in their design and interpretation.
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Affiliation(s)
- Svetlina S. Vasileva
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
| | - Yuanhao Yang
- Mater Research Institute, University of Queensland, Brisbane, Queensland, Australia
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Andrea Baker
- Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
- Metro South Addiction and Mental Health Service, Metro South Health, Brisbane, Brisbane South, Queensland, Australia
| | - Dan Siskind
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
- Metro South Addiction and Mental Health Service, Metro South Health, Brisbane, Brisbane South, Queensland, Australia
- University of Queensland School of Clinical Medicine, Brisbane, Queensland, Australia
| | - Jacob Gratten
- Mater Research Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Darryl Eyles
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, Wacol, Queensland, Australia
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Ali S, Wright E, Charlson F. Using a systems thinking approach to explore the complex relationships between schizophrenia and premature mortality. Int J Soc Psychiatry 2024; 70:70-79. [PMID: 37644696 PMCID: PMC10860352 DOI: 10.1177/00207640231194477] [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] [Indexed: 08/31/2023]
Abstract
BACKGROUND People with schizophrenia have a higher risk of mortality compared to the general population, which has not improved over time. The majority of premature deaths are due to comorbid physical diseases, driven by interrelated factors operating at the individual level, through health systems and influenced by social determinants of health. A holistic understanding of this problem and the causal pathways linking these factors together is lacking. AIMS This study aims to understand why the mortality gap between people with schizophrenia and the general population is not improving by developing a causal loop diagram (CLD), a systems thinking approach which enables empirical research and theoretical knowledge to be combined into a visual representation of causal relationships and feedback loops. METHOD The CLD was constructed using published literature, including both quantitative and qualitative studies, to identify key variables and relationships, and refined through consultation with experts in the topic area. RESULTS A total of 21 variables and 68 connections were included in the CLD, with 23 distinct feedback loops identified. Stigma and social support had the most connections, while unemployment was involved in the greatest number of feedback loops. Most feedback mechanisms served to reinforce behavioural risk factors, inadequate healthcare and social disadvantage. CONCLUSIONS The CLD has created a holistic and dynamic understanding of the causal pathways driving the mortality gap between people with schizophrenia and the general population, providing insights into why it has persisted over time. One of the key findings was the critical role of social determinants in shaping health outcomes, highlighting the need for person-centred models of care and multisectoral government action.
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Affiliation(s)
- Suhailah Ali
- School of Public Health, The University of Queensland, Brisbane, Australia
- Queensland Centre for Mental Health Research, Brisbane, Australia
| | - Eryn Wright
- School of Public Health, The University of Queensland, Brisbane, Australia
- Queensland Centre for Mental Health Research, Brisbane, Australia
| | - Fiona Charlson
- School of Public Health, The University of Queensland, Brisbane, Australia
- Queensland Centre for Mental Health Research, Brisbane, Australia
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Kowalski K, Żebrowska-Różańska P, Karpiński P, Kujawa D, Łaczmański Ł, Samochowiec J, Chęć M, Piotrowski P, Misiak B. Profiling gut microbiota signatures associated with the deficit subtype of schizophrenia: Findings from a case-control study. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110834. [PMID: 37473955 DOI: 10.1016/j.pnpbp.2023.110834] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 07/12/2023] [Accepted: 07/17/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Previous studies have reported a variety of gut microbiota alterations in patients with schizophrenia. However, none of these studies has investigated gut microbiota in patients with the deficit subtype of schizophrenia (D-SCZ) that can be characterized by primary and enduring negative symptoms. Therefore, in this study we aimed to profile gut microbiota of individuals with D-SCZ, compared to those with non-deficit schizophrenia (ND-SCZ) and healthy controls (HCs). METHODS A total of 115 outpatients (44 individuals with D-SCZ and 71 individuals with ND-SCZ) during remission of positive and disorganization symptoms as well as 120 HCs were enrolled. Gut microbiota was analyzed using the 16 rRNA amplicon sequencing. Additionally, the levels of C-reactive protein (CRP), glucose and lipid metabolism markers were determined in the peripheral blood samples. RESULTS Altogether 14 genera showed differential abundance in patients with D-SCZ compared to ND-SCZ and HCs, including Candidatus Soleaferrea, Eubacterium, Fusobacterium, Lachnospiraceae UCG-002, Lachnospiraceae UCG-004, Lachnospiraceae UCG-010, Libanicoccus, Limosilactobacillus, Mogibacterium, Peptococcus, Prevotella, Prevotellaceae NK3B31 group, Rikenellaceae RC9 gut group, and Slackia after adjustment for potential confounding factors. Observed alterations were significantly associated with cognitive performance in both groups of patients. Moreover, several significant correlations of differentially abundant genera with the levels of CRP, lipid profile parameters, glucose and insulin were found across all subgroups of participants. CONCLUSION Findings from the present study indicate that individuals with D-SCZ show a distinct profile of gut microbiota alterations that is associated with cognitive performance, metabolic parameters and subclinical inflammation.
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Affiliation(s)
- Krzysztof Kowalski
- Department of Psychiatry, Division of Consultation Psychiatry and Neuroscience, Wroclaw Medical University, Wroclaw, Poland
| | - Paulina Żebrowska-Różańska
- Laboratory of Genomics & Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Paweł Karpiński
- Laboratory of Genomics & Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland; Department of Genetics, Wroclaw Medical University, Wroclaw, Poland
| | - Dorota Kujawa
- Laboratory of Genomics & Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Łukasz Łaczmański
- Laboratory of Genomics & Bioinformatics, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Szczecin, Poland
| | - Magdalena Chęć
- Department of Clinical Psychology, Institute of Psychology, University of Szczecin, Szczecin, Poland
| | - Patryk Piotrowski
- Department of Psychiatry, Division of Consultation Psychiatry and Neuroscience, Wroclaw Medical University, Wroclaw, Poland
| | - Błażej Misiak
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland.
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Tamang MK, Ali A, Pertile RN, Cui X, Alexander S, Nitert MD, Palmieri C, Eyles D. Developmental vitamin D-deficiency produces autism-relevant behaviours and gut-health associated alterations in a rat model. Transl Psychiatry 2023; 13:204. [PMID: 37316481 PMCID: PMC10267107 DOI: 10.1038/s41398-023-02513-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 05/21/2023] [Accepted: 06/05/2023] [Indexed: 06/16/2023] Open
Abstract
Developmental vitamin D (DVD)-deficiency is an epidemiologically established risk factor for autism. Emerging studies also highlight the involvement of gut microbiome/gut physiology in autism. The current study aims to examine the effect of DVD-deficiency on a broad range of autism-relevant behavioural phenotypes and gut health. Vitamin D deficient rat dams exhibited altered maternal care, DVD-deficient pups showed increased ultrasonic vocalizations and as adolescents, social behaviour impairments and increased repetitive self-grooming behaviour. There were significant impacts of DVD-deficiency on gut health demonstrated by alterations to the microbiome, decreased villi length and increased ileal propionate levels. Overall, our animal model of this epidemiologically validated risk exposure for autism shows an expanded range of autism-related behavioural phenotypes and now alterations in gut microbiome that correlate with social behavioural deficits raising the possibility that DVD-deficiency induced ASD-like behaviours are due to alterations in gut health.
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Affiliation(s)
- Man Kumar Tamang
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | - Asad Ali
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | | | - Xiaoying Cui
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
- Queensland Centre for Mental Health Research, Wacol, Australia
| | - Suzy Alexander
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
- Queensland Centre for Mental Health Research, Wacol, Australia
| | - Marloes Dekker Nitert
- School of Chemistry and Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Chiara Palmieri
- School of Veterinary Science, The University of Queensland, Gatton, Australia
| | - Darryl Eyles
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
- Queensland Centre for Mental Health Research, Wacol, Australia.
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8
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Luykx JJ, Gonzalez-Diaz JM, Guu TW, van der Horst MZ, van Dellen E, Boks MP, Guloksuz S, DeLisi LE, Sommer IE, Cummins R, Shiers D, Lee J, Every-Palmer S, Mhalla A, Chadly Z, Chan SKW, Cotes RO, Takahashi S, Benros ME, Wagner E, Correll CU, Hasan A, Siskind D, Endres D, MacCabe J, Tiihonen J. An international research agenda for clozapine-resistant schizophrenia. Lancet Psychiatry 2023:S2215-0366(23)00109-8. [PMID: 37329895 DOI: 10.1016/s2215-0366(23)00109-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/24/2023] [Accepted: 03/17/2023] [Indexed: 06/19/2023]
Abstract
Treatment-resistant symptoms occur in about a third of patients with schizophrenia and are associated with a substantial reduction in their quality of life. The development of new treatment options for clozapine-resistant schizophrenia constitutes a crucial, unmet need in psychiatry. Additionally, an overview of past and possible future research avenues to optimise the early detection, diagnosis, and management of clozapine-resistant schizophrenia is unavailable. In this Health Policy, we discuss the ongoing challenges associated with clozapine-resistant schizophrenia faced by patients and health-care providers worldwide to improve the understanding of this condition. We then revisit several clozapine guidelines, the diagnostic tests and treatment options for clozapine-resistant schizophrenia, and currently applied research approaches in clozapine-resistant schizophrenia. We also suggest methodologies and targets for future research, divided into innovative nosology-oriented field trials (eg, examining dimensional symptom staging), translational approaches (eg, genetics), epidemiological research (eg, real-world studies), and interventional studies (eg, non-traditional trial designs incorporating lived experiences and caregivers' perspectives). Finally, we note that low-income and middle-income countries are under-represented in studies on clozapine-resistant schizophrenia and propose an agenda to guide multinational research on the cause and treatment of clozapine-resistant schizophrenia. We hope that this research agenda will empower better global representation of patients living with clozapine-resistant schizophrenia and ultimately improve their functional outcomes and quality of life.
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Affiliation(s)
- Jurjen J Luykx
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, Netherlands; Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; GGNet Mental Health, Warnsveld, Netherlands.
| | - Jairo M Gonzalez-Diaz
- Barcelona Clínic Schizophrenia Unit, Neurosciences Institute, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain; UR Center for Mental Health, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, Colombia; Clínica Nuestra Señora de la Paz, Orden Hospitalaria de San Juan de Dios, Bogotá, Colombia
| | - Ta-Wei Guu
- Department of Old Age Psychiatry, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK; Division of Psychiatry, Department of Internal Medicine, China Medical University Beigang Hospital, Yunlin, Taiwan
| | - Marte Z van der Horst
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; GGNet Mental Health, Warnsveld, Netherlands
| | - Edwin van Dellen
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; Department of Intensive Care Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; Department of Neurology, UZ Brussel and Vrije Universiteit Brussel, Jette, Belgium
| | - Marco P Boks
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, Netherlands; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Lynn E DeLisi
- Department of Psychiatry, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - Iris E Sommer
- Department of Biomedical Sciences of Cells and Systems, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | | | - David Shiers
- Psychosis Research Unit, Greater Manchester Mental Health NHS Trust, Manchester, UK
| | - Jimmy Lee
- Department of Psychosis, Institute of Mental Health, Singapore; Neuroscience and Mental Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Susanna Every-Palmer
- Department of Psychological Medicine, University of Otago Wellington, Wellington, New Zealand
| | - Ahmed Mhalla
- Department of Psychiatry, Fattouma Bourguiba Hospital, Faculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia
| | - Zohra Chadly
- Department of Pharmacology, Fattouma Bourguiba Hospital, Faculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia
| | - Sherry K W Chan
- Department of Psychiatry, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Robert O Cotes
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Shun Takahashi
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan; Graduate School of Rehabilitation Science, Osaka Metropolitan University, Habikino, Japan; Clinical Research and Education Center, Asakayama General Hospital, Sakai, Japan; Department of Neuropsychiatry, Wakayama Medical University, Wakayama, Japan
| | - Michael E Benros
- Biological and Precision Psychiatry, Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark; Department of Immunology and Microbiology, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Elias Wagner
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Christoph U Correll
- Department of Child and Adolescent Psychiatry, Charité Universitaetsmedizin Berlin, Berlin, Germany; Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
| | - Alkomiet Hasan
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Augsburg, Medical Faculty, Augsburg, Germany
| | - Dan Siskind
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia; Metro South Addiction and Mental Health Service, Brisbane, QLD, Australia
| | - Dominique Endres
- Department of Psychiatry and Psychotherapy, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - James MacCabe
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Jari Tiihonen
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland; Department of Clinical Neuroscience, Karolinska Institutet, and Center for Psychiatry Research, Stockholm City Council, Stockholm, Sweden
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9
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O’Donnell M, Teasdale SB, Chua XY, Hardman J, Wu N, Curtis J, Samaras K, Bolton P, Morris MJ, Shannon Weickert C, Purves-Tyson T, El-Assaad F, Jiang XT, Hold GL, El-Omar E. The Role of the Microbiome in the Metabolic Health of People with Schizophrenia and Related Psychoses: Cross-Sectional and Pre-Post Lifestyle Intervention Analyses. Pathogens 2022; 11:1279. [PMID: 36365032 PMCID: PMC9695516 DOI: 10.3390/pathogens11111279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/19/2022] [Accepted: 10/24/2022] [Indexed: 03/20/2024] Open
Abstract
The microbiome has been implicated in the development of metabolic conditions which occur at high rates in people with schizophrenia and related psychoses. This exploratory proof-of-concept study aimed to: (i) characterize the gut microbiota in antipsychotic naïve or quasi-naïve people with first-episode psychosis, and people with established schizophrenia receiving clozapine therapy; (ii) test for microbiome changes following a lifestyle intervention which included diet and exercise education and physical activity. Participants were recruited from the Eastern Suburbs Mental Health Service, Sydney, Australia. Anthropometric, lifestyle and gut microbiota data were collected at baseline and following a 12-week lifestyle intervention. Stool samples underwent 16S rRNA sequencing to analyse microbiota diversity and composition. Seventeen people with established schizophrenia and five people with first-episode psychosis were recruited and matched with 22 age-sex, BMI and ethnicity matched controls from a concurrent study for baseline comparisons. There was no difference in α-diversity between groups at baseline, but microbial composition differed by 21 taxa between the established schizophrenia group and controls. In people with established illness pre-post comparison of α-diversity showed significant increases after the 12-week lifestyle intervention. This pilot study adds to the current literature that detail compositional differences in the gut microbiota of people with schizophrenia compared to those without mental illness and suggests that lifestyle interventions may increase gut microbial diversity in patients with established illness. These results show that microbiome studies are feasible in patients with established schizophrenia and larger studies are warranted to validate microbial signatures and understand the relevance of lifestyle change in the development of metabolic conditions in this population.
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Affiliation(s)
- Maryanne O’Donnell
- Discipline of Psychiatry and Mental Health, School of Medicine and Health, University of New South Wales, Kensington 2033, Australia
- Eastern Suburbs Mental Health Service, South Eastern Sydney Local Health District, Randwick 2031, Australia
| | - Scott B. Teasdale
- Discipline of Psychiatry and Mental Health, School of Medicine and Health, University of New South Wales, Kensington 2033, Australia
- Mindgardens Neuroscience Network, Sydney 2033, Australia
| | - Xin-Yi Chua
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
| | - Jamie Hardman
- Eastern Suburbs Mental Health Service, South Eastern Sydney Local Health District, Randwick 2031, Australia
| | - Nan Wu
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
- Department of Gastroenterology, The Sutherland Hospital, Caringbah 2229, Australia
| | - Jackie Curtis
- Discipline of Psychiatry and Mental Health, School of Medicine and Health, University of New South Wales, Kensington 2033, Australia
- Eastern Suburbs Mental Health Service, South Eastern Sydney Local Health District, Randwick 2031, Australia
- Mindgardens Neuroscience Network, Sydney 2033, Australia
| | - Katherine Samaras
- Department of Endocrinology, St Vincent’s Hospital Sydney, Victoria St, Darlinghurst 2010, Australia
- Clinical Obesity, Nutrition and Adipose Biology Lab, 384 Garvan Institute of Medical Research, Victoria St, Darlinghurst 2010, Australia
- School of Clinical Medicine, St Vincent’s Healthcare Clinical Campus, University of New South Wales, Darlinghurst 2010, Australia
| | - Patrick Bolton
- Eastern Suburbs Mental Health Service, South Eastern Sydney Local Health District, Randwick 2031, Australia
- School of Public Health, University of New South Wales, Kensington 2033, Australia
| | - Margaret J. Morris
- School of Medical Sciences, University of New South Wales, Kensington 2033, Australia
| | - Cyndi Shannon Weickert
- Discipline of Psychiatry and Mental Health, School of Medicine and Health, University of New South Wales, Kensington 2033, Australia
- Schizophrenia Research Laboratory, Neuroscience Research Australia, Sydney 2033, Australia
- Department of Neuroscience and Physiology, Upstate Medical University, Syracuse, NY 13210, USA
| | - Tertia Purves-Tyson
- Discipline of Psychiatry and Mental Health, School of Medicine and Health, University of New South Wales, Kensington 2033, Australia
- Schizophrenia Research Laboratory, Neuroscience Research Australia, Sydney 2033, Australia
| | - Fatima El-Assaad
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
| | - Xiao-Tao Jiang
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
| | - Georgina L. Hold
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
| | - Emad El-Omar
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
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