1
|
Nani JV, Muotri AR, Hayashi MAF. Peering into the mind: unraveling schizophrenia's secrets using models. Mol Psychiatry 2024:10.1038/s41380-024-02728-w. [PMID: 39245692 DOI: 10.1038/s41380-024-02728-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 08/21/2024] [Accepted: 08/27/2024] [Indexed: 09/10/2024]
Abstract
Schizophrenia (SCZ) is a complex mental disorder characterized by a range of symptoms, including positive and negative symptoms, as well as cognitive impairments. Despite the extensive research, the underlying neurobiology of SCZ remain elusive. To overcome this challenge, the use of diverse laboratory modeling techniques, encompassing cellular and animal models, and innovative approaches like induced pluripotent stem cell (iPSC)-derived neuronal cultures or brain organoids and genetically engineered animal models, has been crucial. Immortalized cellular models provide controlled environments for investigating the molecular and neurochemical pathways involved in neuronal function, while iPSCs and brain organoids, derived from patient-specific sources, offer significant advantage in translational research by facilitating direct comparisons of cellular phenotypes between patient-derived neurons and healthy-control neurons. Animal models can recapitulate the different psychopathological aspects that should be modeled, offering valuable insights into the neurobiology of SCZ. In addition, invertebrates' models are genetically tractable and offer a powerful approach to dissect the core genetic underpinnings of SCZ, while vertebrate models, especially mammals, with their more complex nervous systems and behavioral repertoire, provide a closer approximation of the human condition to study SCZ-related traits. This narrative review provides a comprehensive overview of the diverse modeling approaches, critically evaluating their strengths and limitations. By synthesizing knowledge from these models, this review offers a valuable source for researchers, clinicians, and stakeholders alike. Integrating findings across these different models may allow us to build a more holistic picture of SCZ pathophysiology, facilitating the exploration of new research avenues and informed decision-making for interventions.
Collapse
Affiliation(s)
- João V Nani
- Department of Pharmacology, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
- National Institute for Translational Medicine (INCT-TM, CNPq/FAPESP/CAPES), Ribeirão Preto, Brazil.
| | - Alysson R Muotri
- Department of Pediatrics and Department of Molecular and Cellular Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Mirian A F Hayashi
- Department of Pharmacology, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil.
- National Institute for Translational Medicine (INCT-TM, CNPq/FAPESP/CAPES), Ribeirão Preto, Brazil.
| |
Collapse
|
2
|
Brandt SJ, Oral HY, Arellano-Bravo C, Plawecki MH, Hummer TA, Francis MM. Repetitive Transcranial Magnetic Stimulation as a Therapeutic and Probe in Schizophrenia: Examining the Role of Neuroimaging and Future Directions. Neurotherapeutics 2021; 18:827-844. [PMID: 33844154 PMCID: PMC8423934 DOI: 10.1007/s13311-021-01046-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2021] [Indexed: 12/31/2022] Open
Abstract
Schizophrenia is a complex condition associated with perceptual disturbances, decreased motivation and affect, and disrupted cognition. Individuals living with schizophrenia may experience myriad poor outcomes, including impairment in independent living and function as well as decreased life expectancy. Though existing treatments may offer benefit, many individuals still experience treatment resistant and disabling symptoms. In light of the negative outcomes associated with schizophrenia and the limitations in currently available treatments, there is a significant need for novel therapeutic interventions. Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive brain stimulation technique that can modulate the activity of discrete cortical regions, allowing direct manipulation of local brain activation and indirect manipulation of the target's associated neural networks. rTMS has been studied in schizophrenia for the treatment of auditory hallucinations, negative symptoms, and cognitive deficits, with mixed results. The field's inability to arrive at a consensus on the use rTMS in schizophrenia has stemmed from a variety of issues, perhaps most notably the significant heterogeneity amongst existing trials. In addition, it is likely that factors specific to schizophrenia, rather than the rTMS itself, have presented barriers to the interpretation of existing results. However, advances in approaches to rTMS as a biologic probe and therapeutic, many of which include the integration of neuroimaging with rTMS, offer hope that this technology may still play a role in improving the understanding and treatment of schizophrenia.
Collapse
Affiliation(s)
- Stephen J Brandt
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA
| | - Halimah Y Oral
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA
| | - Carla Arellano-Bravo
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA
| | - Martin H Plawecki
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA
| | - Tom A Hummer
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA
| | - Michael M Francis
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA.
| |
Collapse
|
3
|
Li P, Jing RX, Zhao RJ, Shi L, Sun HQ, Ding Z, Lin X, Lu L, Fan Y. Association between functional and structural connectivity of the corticostriatal network in people with schizophrenia and unaffected first-degree relatives. J Psychiatry Neurosci 2020; 45:395-405. [PMID: 32436671 PMCID: PMC7595738 DOI: 10.1503/jpn.190015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Dysfunction of the corticostriatal network has been implicated in the pathophysiology of schizophrenia, but findings are inconsistent within and across imaging modalities. We used multimodal neuroimaging to analyze functional and structural connectivity in the corticostriatal network in people with schizophrenia and unaffected first-degree relatives. METHODS We collected resting-state functional magnetic resonance imaging and diffusion tensor imaging scans from people with schizophrenia (n = 47), relatives (n = 30) and controls (n = 49). We compared seed-based functional and structural connectivity across groups within striatal subdivisions defined a priori. RESULTS Compared with controls, people with schizophrenia had altered connectivity between the subdivisions and brain regions in the frontal and temporal cortices and thalamus; relatives showed different connectivity between the subdivisions and the right anterior cingulate cortex (ACC) and the left precuneus. Post-hoc t tests revealed that people with schizophrenia had decreased functional connectivity in the ventral loop (ventral striatum-right ACC) and dorsal loop (executive striatum-right ACC and sensorimotor striatum-right ACC), accompanied by decreased structural connectivity; relatives had reduced functional connectivity in the ventral loop and the dorsal loop (right executive striatum-right ACC) and no significant difference in structural connectivity compared with the other groups. Functional connectivity among people with schizophrenia in the bilateral ventral striatum-right ACC was correlated with positive symptom severity. LIMITATIONS The number of relatives included was moderate. Striatal subdivisions were defined based on a relatively low threshold, and structural connectivity was measured based on fractional anisotropy alone. CONCLUSION Our findings provide insight into the role of hypoconnectivity of the ventral corticostriatal system in people with schizophrenia.
Collapse
Affiliation(s)
- Peng Li
- From the Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China (Li, Shi, Sun, Lin, Lu); the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Jing); the University of Chinese Academy of Sciences, Beijing, China (Jing); the Department of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China (Zhao); the National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China (Ding); the Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China (Lin, Lu); and the Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA (Fan)
| | - Ri-Xing Jing
- From the Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China (Li, Shi, Sun, Lin, Lu); the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Jing); the University of Chinese Academy of Sciences, Beijing, China (Jing); the Department of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China (Zhao); the National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China (Ding); the Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China (Lin, Lu); and the Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA (Fan)
| | - Rong-Jiang Zhao
- From the Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China (Li, Shi, Sun, Lin, Lu); the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Jing); the University of Chinese Academy of Sciences, Beijing, China (Jing); the Department of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China (Zhao); the National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China (Ding); the Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China (Lin, Lu); and the Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA (Fan)
| | - Le Shi
- From the Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China (Li, Shi, Sun, Lin, Lu); the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Jing); the University of Chinese Academy of Sciences, Beijing, China (Jing); the Department of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China (Zhao); the National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China (Ding); the Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China (Lin, Lu); and the Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA (Fan)
| | - Hong-Qiang Sun
- From the Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China (Li, Shi, Sun, Lin, Lu); the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Jing); the University of Chinese Academy of Sciences, Beijing, China (Jing); the Department of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China (Zhao); the National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China (Ding); the Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China (Lin, Lu); and the Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA (Fan)
| | - Zengbo Ding
- From the Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China (Li, Shi, Sun, Lin, Lu); the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Jing); the University of Chinese Academy of Sciences, Beijing, China (Jing); the Department of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China (Zhao); the National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China (Ding); the Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China (Lin, Lu); and the Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA (Fan)
| | - Xiao Lin
- From the Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China (Li, Shi, Sun, Lin, Lu); the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Jing); the University of Chinese Academy of Sciences, Beijing, China (Jing); the Department of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China (Zhao); the National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China (Ding); the Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China (Lin, Lu); and the Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA (Fan)
| | - Lin Lu
- From the Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China (Li, Shi, Sun, Lin, Lu); the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Jing); the University of Chinese Academy of Sciences, Beijing, China (Jing); the Department of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China (Zhao); the National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China (Ding); the Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China (Lin, Lu); and the Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA (Fan)
| | - Yong Fan
- From the Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), and National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China (Li, Shi, Sun, Lin, Lu); the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Jing); the University of Chinese Academy of Sciences, Beijing, China (Jing); the Department of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, China (Zhao); the National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China (Ding); the Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China (Lin, Lu); and the Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA (Fan)
| |
Collapse
|
4
|
Harper L, Spencer E, Davidson C, Hutchinson CV. Selectively reduced contrast sensitivity in high schizotypy. Exp Brain Res 2020; 238:51-62. [PMID: 31781821 PMCID: PMC6957544 DOI: 10.1007/s00221-019-05695-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Accepted: 11/15/2019] [Indexed: 11/30/2022]
Abstract
Deficits in the ability to encode small differences in contrast between adjacent parts of an image (contrast sensitivity) are well documented in schizophrenic patients. In the present study, we sought to determine whether contrast sensitivity deficits reported in schizophrenic patients are also evident in those who exhibit high schizotypy scores in a typical (i.e., non-schizophrenic) population. Using the O-Life Questionnaire, we determined the effects of schizotypy on spatial (0.5, 2 and 8 c/deg) and spatiotemporal (0.5 and 8 c/deg at 0.5 and 8 Hz) contrast sensitivity in 73 young (18-26 years), majority female (n = 68) participants. We found differences in contrast sensitivity that were spatial, spatiotemporal and O-Life subscale specific. Spatial contrast sensitivity was significantly lower in high, compared to low schizotypes at low spatial frequencies (0.5 c/deg) in those who scored highly on the Unusual Experiences and Cognitive Disorganisation O-Life subscales. For moving stimuli, individuals with high scores on the Unusual Experiences subscale exhibited lower spatiotemporal contrast sensitivity for 0.5 and 8 c/deg patterns drifting at 8 Hz. Although the effects reported here were relatively small, this is the first report of reduced contrast sensitivity in schizotypy.
Collapse
Affiliation(s)
- Lauren Harper
- Department of Neuroscience, Psychology and Behaviour, College of Life Sciences, University of Leicester, Leicester, UK
| | - Emily Spencer
- Department of Neuroscience, Psychology and Behaviour, College of Life Sciences, University of Leicester, Leicester, UK
| | - Colin Davidson
- School of Pharmacy and Biomedical Sciences, Faculty of Clinical and Biomedical Sciences, University of Central Lancashire, Preston, UK
| | - Claire V Hutchinson
- Department of Neuroscience, Psychology and Behaviour, College of Life Sciences, University of Leicester, Leicester, UK.
| |
Collapse
|
5
|
Walker VG. The Life Course Paradigm as a Lens for Holistic Nursing Research in Older Adults Diagnosed With Schizophrenia. J Holist Nurs 2019; 37:366-380. [DOI: 10.1177/0898010119867169] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Older adults diagnosed with schizophrenia (OADWS) have unique needs for care and live longer today than their forebears who were diagnosed with schizophrenia. As a result, nurses need to be prepared for the specific care of individuals who live with schizophrenia as they age. Together, Life Course Theory and holistic nursing suggest a good fit in the quest for successful solutions and/or outcomes for the unique problems that OADWS face. Holistic nursing views the patient as a whole person, considering all aspects of the patient’s experiences within life’s broader environment. The life course paradigm offers an effective way for nurses to understand issues that patients face throughout their lives, thus enhancing holistic nursing with a historical perspective. This is especially important for the care of OADWS, who face unique disparities as well as physical and psychological comorbidities over their life course. This article is intended to initiate a discussion of OADWS, focused with Life Course Theory as a holistic lens. Literature pertinent to the life course of OADWS is reviewed, followed by an analysis of the life course paradigm in relation to OADWS’ unique experiences. Conclusions support the holistic use of Life Course Theory in research and interventions for OADWS.
Collapse
|
6
|
Melas PA, Rogdaki M, Ösby U, Schalling M, Lavebratt C, Ekström TJ. Epigenetic aberrations in leukocytes of patients with schizophrenia: association of global DNA methylation with antipsychotic drug treatment and disease onset. FASEB J 2012; 26:2712-8. [PMID: 22426120 DOI: 10.1096/fj.11-202069] [Citation(s) in RCA: 159] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Even though schizophrenia has a strong hereditary component, departures from simple genetic transmission are prominent. DNA methylation has emerged as an epigenetic explanatory candidate of schizophrenia's nonmendelian characteristics. To investigate this assumption, we examined genome-wide (global) and gene-specific DNA methylation levels, which are associated with genomic stability and gene expression activity, respectively. Analyses were conducted using DNA from leukocytes of patients with schizophrenia and controls. Global methylation results revealed a highly significant hypomethylation in patients with schizophrenia (P<2.0×10(-6)) and linear regression among patients generated a model in which antipsychotic treatment and disease onset explained 11% of the global methylation variance (adjusted R(2)=0.11, ANOVA P<0.001). Specifically, haloperidol was associated with higher ("control-like") methylation (P=0.001), and early onset (a putative marker of schizophrenia severity) was associated with lower methylation (P=0.002). With regard to the gene-specific methylation analyses, and in accordance with the dopamine hypothesis of psychosis, we found that the analyzed region of S-COMT was hypermethylated in patients with schizophrenia (P=0.004). In summary, these data support the notion of a dysregulated epigenome in schizophrenia, which, at least globally, is more pronounced in early-onset patients and can be partly rescued by antipsychotic medication. In addition, blood DNA-methylation signatures show promise of serving as a schizophrenia biomarker in the future.
Collapse
Affiliation(s)
- Philippe A Melas
- Department of Molecular Medicine and Surgery, Neurogenetics Unit, Karolinska Institutet, Center for Molecular Medicine, Stockholm, Sweden
| | | | | | | | | | | |
Collapse
|
7
|
Shi W, Du J, Qi Y, Liang G, Wang T, Li S, Xie S, Zeshan B, Xiao Z. Aberrant expression of serum miRNAs in schizophrenia. J Psychiatr Res 2012; 46:198-204. [PMID: 22094284 DOI: 10.1016/j.jpsychires.2011.09.010] [Citation(s) in RCA: 103] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2011] [Revised: 08/18/2011] [Accepted: 09/21/2011] [Indexed: 12/20/2022]
Abstract
The circulating miRNAs are sufficiently stable and detectable to serve as clinical biomarkers as recent studies have revealed that the aberrant expression of circulating miRNAs can directly reflect disease status. Based on the analysis of the data (using miRanda software, TargetScan software and SOLID high-throughput sequencing) obtained from the literature, Schizophrenia Gene database, NCBI database, the quantification of the nine miRNAs in the serum samples of 115 patients suffering from schizophrenia and 40 healthy individuals using qRT-PCR and semi-nested qRT-PCR was conducted. The results suggested that the miR-181b, miR-219-2-3p, miR-346, miR-195, miR-1308, miR-92a, miR-17, miR-103 and let-7g are the key players to reflect the schizophrenia illnesses status and may serve as candidate biomarkers for diagnosis of schizophrenia. In addition, we also found that the risperidone improved the serum miR-346 level of schizophrenia significantly, and therefore may not be an effective drug in regulating serum miR-346 level of schizophrenia. Furthermore, the expression level of serum miRNAs levels and schizophrenia patients were regardless of family history subtypes, ages, and gender. Collectively, these findings suggested that the serum miRNAs have strong potential to reflect schizophrenia disease status. To the best of our knowledge, this is the first report demonstrating the analysis of the circulating miRNAs in schizophrenia.
Collapse
Affiliation(s)
- Wenting Shi
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | | | | | | | | | | | | | | | | |
Collapse
|
8
|
|
9
|
Naserbakht M, Ahmadkhaniha HR, Mokri B, Smith CL. Advanced paternal age is a risk factor for schizophrenia in Iranians. Ann Gen Psychiatry 2011; 10:15. [PMID: 21513574 PMCID: PMC3094249 DOI: 10.1186/1744-859x-10-15] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2010] [Accepted: 04/24/2011] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Since 1958 many, but not all studies have demonstrated that paternal age is a risk factor for schizophrenia. There may be many different explanations for differences between studies, including study design, sample size, collection criteria, heterogeneity and the confounding effects of environmental factors that can for example perturb epigenetic programming and lead to an increase in disease risk. The small number of children in Western families makes risk comparisons between siblings born at different paternal ages difficult. In contrast, more Eastern families have children both at early and later periods of life. In the present study, a cross-sectional population study in an Iranian population was performed to compare frequency of schizophrenia in younger offspring (that is, older paternal age) versus older offspring. METHODS A total of 220 patients with the diagnosis of schizophrenia (cases) from both psychiatric hospitals and private clinics and 220 individuals from other hospital wards (controls), matched for sex and age were recruited for this study. Patients with neurological problem, substance abuse, mental retardation and mood disorder were excluded from both groups. RESULTS Birth rank comparisons revealed that 35% vs 24% of the cases vs the controls were in the third or upper birth rank (P = 0.01). Also, the mean age of fathers at birth in case group (30 ± 6.26 years) was significantly more than the control group (26.45 ± 5.64 years; P = 0.0001). The age of 76 fathers at birth in case group was over 32 versus 33 fathers in control group. Individuals whose fathers' age was more than 32 (at birth) were at higher risk (2.77 times) for schizophrenia versus others (P < 0.0001, 95% CI 1.80 to 4.27). The maternal age at parturition of the case versus controls groups was 26.1 ± 5.41 vs 25.07 ± 4.47 (P = 0.02). Logistic regression analysis suggests that maternal age is less likely to be involved in the higher risk of schizophrenia than advanced parental age. DISCUSSION This study demonstrates a relationship between paternal age and schizophrenia in large families of an Iranian population. Arguments have been put forth that DNA bases changes or epigenetic changes in sperm account for the increased risk associated with older fathers. However, it would not be surprising that both de novo germline mutations and epigenetic changes contribute to disease occurrence because DNA replication and DNA methylation are closely linked at both the macromolecular level (that is, methylation closely follows replication), and at the metabolic level (both processes require folate), and susceptible to modulation by the environment. Further research on samples such as those collected here are needed to sort out the contributions of de novo mutations versus epigenetic changes to schizophrenia.
Collapse
Affiliation(s)
- Morteza Naserbakht
- Social Medicine, Mental Health Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamid-Reza Ahmadkhaniha
- Tehran University of Medical Science, Tehran, Iran
- Mental Health Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Tehran Psychiatric Institute, Tehran, Iran
| | - Bahareh Mokri
- Department of Internal Medicine, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Masih Daneshvari Hospital, Shahid Beheshti University. M.C, Iran
| | - Cassandra L Smith
- Biomedical Engineering Department, Boston University, Boston MA, USA
| |
Collapse
|
10
|
Taylor MA, Shorter E, Vaidya NA, Fink M. The failure of the schizophrenia concept and the argument for its replacement by hebephrenia: applying the medical model for disease recognition. Acta Psychiatr Scand 2010; 122:173-83. [PMID: 20649527 DOI: 10.1111/j.1600-0447.2010.01589.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
11
|
Coulston CM, Perdices M, Henderson AF, Malhi GS. Cannabinoids for the treatment of schizophrenia? A balanced neurochemical framework for both adverse and therapeutic effects of cannabis use. SCHIZOPHRENIA RESEARCH AND TREATMENT 2010; 2011:501726. [PMID: 22937266 PMCID: PMC3428612 DOI: 10.1155/2011/501726] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2009] [Revised: 04/29/2010] [Accepted: 06/14/2010] [Indexed: 11/17/2022]
Abstract
Recent studies have found that cannabinoids may improve neuropsychological performance, ameliorate negative symptoms, and have antipsychotic properties for a subgroup of the schizophrenia population. These findings are in contrast to the longstanding history of adverse consequences of cannabis use, predominantly on the positive symptoms, and a balanced neurochemical basis for these opposing views is lacking. This paper details a review of the neurobiological substrates of schizophrenia and the neurochemical effects of cannabis use in the normal population, in both cortical (in particular prefrontal) and subcortical brain regions. The aim of this paper is to provide a holistic neurochemical framework in which to understand how cannabinoids may impair, or indeed, serve to ameliorate the positive and negative symptoms as well as cognitive impairment. Directions in which future research can proceed to resolve the discrepancies are briefly discussed.
Collapse
Affiliation(s)
- Carissa M. Coulston
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, NSW 2006, Australia
- Department of Psychiatry, CADE Clinic, Royal North Shore Hospital, St. Leonards, Sydney, NSW 2065, Australia
| | - Michael Perdices
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, NSW 2006, Australia
- Department of Neurology, Royal North Shore Hospital, St. Leonards, Sydney, NSW 2065, Australia
| | - Antony F. Henderson
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, NSW 2006, Australia
| | - Gin S. Malhi
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, NSW 2006, Australia
- Department of Psychiatry, CADE Clinic, Royal North Shore Hospital, St. Leonards, Sydney, NSW 2065, Australia
| |
Collapse
|
12
|
Lo WS, Harano M, Gawlik M, Yu Z, Chen J, Pun FW, Tong KL, Zhao C, Ng SK, Tsang SY, Uchimura N, Stober G, Xue H. GABRB2 association with schizophrenia: commonalities and differences between ethnic groups and clinical subtypes. Biol Psychiatry 2007; 61:653-60. [PMID: 16950232 DOI: 10.1016/j.biopsych.2006.05.003] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2006] [Revised: 05/03/2006] [Accepted: 05/09/2006] [Indexed: 11/29/2022]
Abstract
BACKGROUND Single nucleotide polymorphisms (SNPs) and haplotypes in intron 8 of type A gamma-aminobutyric acid (GABA(A)) receptor beta2 subunit gene (GABRB2) were initially found to be associated with schizophrenia in Chinese. This finding was subjected to cross-validation in this study with Japanese (JP) and German Caucasian (GE) subjects. METHODS Single nucleotide polymorphisms discovery and genotyping were carried out through resequencing of a 1839 base pair (bp) region in GABRB2. Tagging SNPs (tSNPs) were selected based on linkage disequilibrium (LD), combinations of which were analyzed with Bonferroni correction and permutation for disease association. Random resampling was applied to generate size- and gender-balanced cases and control subjects. RESULTS Out of the 17 SNPs (9.2/kilobase [kb]) revealed, 6 were population-specific. Population variations in LD were observable, and at least two low LD points were identified in both populations. Although disease association at single SNP level was only shown in GE, strong association was demonstrated in both JP (p = .0002 - .0191) and GE (p = .0033 - .0410) subjects, centering on haplotypes containing rs1816072 and rs1816071. Among different clinical subtypes, the most significant association was exhibited by systematic schizophrenia. CONCLUSIONS Cross-population validation of GABRB2 association with schizophrenia has been obtained with JP and GE subjects, with the genotype-disease correlations being strongest in systematic schizophrenia, the most severe subtype of the disease.
Collapse
Affiliation(s)
- Wing-Sze Lo
- Department of Biochemistry and Applied Genomics Laboratory, Hong Kong University of Science and Technology, Hong Kong, China
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
13
|
Pacher P, Bátkai S, Kunos G. The endocannabinoid system as an emerging target of pharmacotherapy. Pharmacol Rev 2006; 58:389-462. [PMID: 16968947 PMCID: PMC2241751 DOI: 10.1124/pr.58.3.2] [Citation(s) in RCA: 1473] [Impact Index Per Article: 81.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The recent identification of cannabinoid receptors and their endogenous lipid ligands has triggered an exponential growth of studies exploring the endocannabinoid system and its regulatory functions in health and disease. Such studies have been greatly facilitated by the introduction of selective cannabinoid receptor antagonists and inhibitors of endocannabinoid metabolism and transport, as well as mice deficient in cannabinoid receptors or the endocannabinoid-degrading enzyme fatty acid amidohydrolase. In the past decade, the endocannabinoid system has been implicated in a growing number of physiological functions, both in the central and peripheral nervous systems and in peripheral organs. More importantly, modulating the activity of the endocannabinoid system turned out to hold therapeutic promise in a wide range of disparate diseases and pathological conditions, ranging from mood and anxiety disorders, movement disorders such as Parkinson's and Huntington's disease, neuropathic pain, multiple sclerosis and spinal cord injury, to cancer, atherosclerosis, myocardial infarction, stroke, hypertension, glaucoma, obesity/metabolic syndrome, and osteoporosis, to name just a few. An impediment to the development of cannabinoid medications has been the socially unacceptable psychoactive properties of plant-derived or synthetic agonists, mediated by CB(1) receptors. However, this problem does not arise when the therapeutic aim is achieved by treatment with a CB(1) receptor antagonist, such as in obesity, and may also be absent when the action of endocannabinoids is enhanced indirectly through blocking their metabolism or transport. The use of selective CB(2) receptor agonists, which lack psychoactive properties, could represent another promising avenue for certain conditions. The abuse potential of plant-derived cannabinoids may also be limited through the use of preparations with controlled composition and the careful selection of dose and route of administration. The growing number of preclinical studies and clinical trials with compounds that modulate the endocannabinoid system will probably result in novel therapeutic approaches in a number of diseases for which current treatments do not fully address the patients' need. Here, we provide a comprehensive overview on the current state of knowledge of the endocannabinoid system as a target of pharmacotherapy.
Collapse
Affiliation(s)
- Pál Pacher
- Laboratory of Physiological Studies, National Institute of Alcohol Abuse and Alcoholism, National Institutes of Health, 5625 Fishers Lane, Room 2S-24, Bethesda, MD 20892-9413, USA
| | | | | |
Collapse
|
14
|
Abstract
Although the second-generation or atypical antipsychotic drugs have been breakthrough medicines for the treatment of schizophrenia and other psychotic conditions, cognitive dysfunction and to some extent negative symptoms of the disease continue to be the main cause of poor vocational status of the patients. Thus, the majority of investigational drug development efforts today target these unmet medical needs. This review postulates that the field of schizophrenia research has advanced sufficiently to develop biochemical hypotheses of the etiopathology of the disease and target the same for revolutionary disease modifying therapy. This postulate is based on recent studies that have begun to provide a testable etiopathology model that integrates interactions between genetic vulnerability factors, neurodevelopmental anomalies, and neurotransmitter systems. This review begins with a brief overview of the nosology and etiopathology of schizophrenia and related psychotic disorders to establish a context for subsequent detailed discussions on drug discovery and development for psychotic disorders. Particular emphasis is placed on recent advances in genetic association studies of schizophrenia and how this can be integrated with evidence supporting neurodevelopmental abnormalities associated with the disease to generate a testable model of the disease etiopathology. An in-depth review of the plethora of new targets and approaches targeting the unmet medical need in the treatment of schizophrenia exemplify the challenges and opportunities in this area. We end the review by offering an approach based on emerging genetic, clinical, and neurobiological studies to discover and validate novel drug targets that could be classified as disease modifying approaches.
Collapse
Affiliation(s)
- Gerard Marek
- Neuroscience Division, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, Indiana 46285, USA
| | | |
Collapse
|