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Vita A, Nibbio G, Barlati S. Conceptualization and characterization of "primary" and "secondary" cognitive impairment in schizophrenia. Psychiatry Res 2024; 340:116126. [PMID: 39128169 DOI: 10.1016/j.psychres.2024.116126] [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: 05/07/2024] [Revised: 07/25/2024] [Accepted: 08/04/2024] [Indexed: 08/13/2024]
Abstract
Cognitive impairment represents one of the core features of schizophrenia, involves both neurocognition and social cognition domains, and has a significant negative impact on real-world functioning. The present review provides a framework for the conceptualization and characterization of "primary" and "secondary" cognitive impairment in schizophrenia. In this conceptualization, primary cognitive impairment can be defined as a consequence of the neurobiological alterations that underlie psychopathological manifestations of the disorder, while secondary cognitive impairment can be defined as the results of a source issue that has a negative impact on cognitive performance. Sources of secondary cognitive impairment are frequent in people with schizophrenia and include several different factors, such as positive and negative symptoms, depressive symptoms, autistic symptoms, pharmacotherapy, substance abuse, metabolic syndrome, social deprivation, and sleep disorders. It can be hypothesized that secondary cognitive impairment may be improved by effectively resolving the source issue, while primary cognitive impairment may benefit from dedicated treatment. Further research is required to confirm this hypothesis, to better characterize the distinction between primary and secondary cognitive impairment in a clinical and in a neurobiological perspective, and to evaluate the impact of systematically assessing and treating secondary cognitive impairment.
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Affiliation(s)
- Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy.
| | - Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Stefano Barlati
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
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Cohen-Laroque J, Grangier I, Perez N, Kirschner M, Kaiser S, Sabé M. Positive and negative symptoms in methamphetamine-induced psychosis compared to schizophrenia: A systematic review and meta-analysis. Schizophr Res 2024; 267:182-190. [PMID: 38554698 DOI: 10.1016/j.schres.2024.03.037] [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: 04/26/2023] [Revised: 03/06/2024] [Accepted: 03/24/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND The clinical profiles of methamphetamine-induced psychosis (MIP) and schizophrenia are largely overlapping making differentiation challenging. In this systematic review and meta-analysis, we aim to compare the positive and negative symptoms of MIP and schizophrenia to better understand the differences between them. STUDY DESIGN In accordance with our pre-registered protocol (CRD42021286619), we conducted a search of English-language studies up to December 16th, 2022, in PubMed, EMBASE, and PsycINFO, including stable outpatients with MIP and schizophrenia. We used the Newcastle-Ottawa Scale to measure the quality of cross-sectional, case-control, and cohort studies. STUDY RESULTS Of the 2052 articles retrieved, we included 12 studies (6 cross-sectional, 3 case-control, and 2 cohort studies) in our meta-analysis, involving 624 individuals with MIP and 524 individuals with schizophrenia. Our analysis found no significant difference in positive symptoms between the two groups (SMD, -0.01; 95%CI, -0.13 to +0.11; p = 1). However, individuals with MIP showed significantly less negative symptoms compared to those with schizophrenia (SMD, -0.35; 95CI%, -0.54 to -0.16; p = 0.01; I2 = 54 %). Our sensitivity analysis, which included only studies with a low risk of bias, did not change the results. However, our meta-analysis is limited by its cross-sectional approach, which limits the interpretation of causal associations. Furthermore, differences in population, inclusion criteria, methodology, and drug exposure impact our findings. CONCLUSIONS Negative symptoms are less prominent in individuals with MIP. While both groups do not differ regarding positive symptoms, raises the possibility of shared and partly different underlying neurobiological mechanisms related to MIP and schizophrenia.
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Affiliation(s)
| | - Inès Grangier
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.
| | - Natacha Perez
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Switzerland
| | - Matthias Kirschner
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Switzerland
| | - Stefan Kaiser
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Switzerland
| | - Michel Sabé
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Adult Psychiatry, Department of Psychiatry, Geneva University Hospitals, Switzerland.
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Janssen H, van den Berg KC, Paulik G, Newman-Taylor K, Taylor CDJ, Steel C, Keijsers GPJ, Marcelis MC. Emotional and non-emotional mental imagery and auditory verbal hallucinations (hearing voices): A systematic review of imagery assessment tools. Clin Psychol Psychother 2023. [PMID: 37905563 DOI: 10.1002/cpp.2920] [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: 11/14/2022] [Revised: 07/19/2023] [Accepted: 10/07/2023] [Indexed: 11/02/2023]
Abstract
It is unknown to what extent mental imagery and auditory verbal hallucinations (AVHs) are related. Trials evaluating this issue used both emotional and non-emotional mental imagery tools, thereby complicating outcomes comparisons. Therefore, the present study aimed to systematically review the literature on mental imagery in individuals with AVHs to (1) inventory imagery assessment tools used in this population, (2) to collect information on the relation between emotional and non-emotional mental imagery in all sensory domains and AVHs and (3) to integrate the outcomes of this systematic review in a model of different mental imagery domains and related assessment tools. We conducted a systematic literature search in the PubMed Database. After full-text screening, 17 papers were included. Findings showed that a variety of assessment methods have been used to assess various aspects of mental imagery in people with AVHs, suggesting that there is a lack of agreed theoretical conceptualization of mental imagery and AVHs. In addition, the studies confirmed as was expected that non-emotional mental imagery seemed unrelated to AVHs whereas emotional mental imagery was related to AVHs. Lastly, we proposed a model of mental imagery domains and corresponding assessment methods distinguishing between emotional and non-emotional mental imagery.
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Affiliation(s)
- Hella Janssen
- Medical Psychiatric Research Group, Geestelijke Gezondheidszorg Eindhoven (GGzE), Eindhoven, Netherlands
- Department of Psychiatry and Neuropsychology, MHeNs Maastricht University, Maastricht, Netherlands
| | - Karin C van den Berg
- Medical Psychiatric Research Group, Geestelijke Gezondheidszorg Eindhoven (GGzE), Eindhoven, Netherlands
- Department of Clinical Psychological Sciences, Maastricht University, Maastricht, Netherlands
| | - Georgie Paulik
- Perth Voices Clinic, Murdoch, Australia
- School of Psychological Science, University of Western Australia, Perth, Australia
- School of Psychology and Exercise Science, Murdoch University, Perth, Australia
| | - Katherine Newman-Taylor
- Psychology Department, University of Southampton, Southampton, UK
- Psychology Department, College Keep, Southern Health NHSF Trust, Southampton, UK
| | - Christopher D J Taylor
- Secondary Care Psychological Therapies Service, Pennine Care National Health Service (NHS) Foundation Trust, Lancashire, UK
- Division of Psychology and Mental Health, The University of Manchester, Manchester, UK
| | - Craig Steel
- Oxford Centre for Psychological Health, Oxford, UK
- Oxford Institute of Clinical Psychology Training and Research, Oxford, UK
| | - Ger P J Keijsers
- Department of Clinical Psychological Sciences, Maastricht University, Maastricht, Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, Netherlands
| | - Machteld C Marcelis
- Medical Psychiatric Research Group, Geestelijke Gezondheidszorg Eindhoven (GGzE), Eindhoven, Netherlands
- Department of Psychiatry and Neuropsychology, MHeNs Maastricht University, Maastricht, Netherlands
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Blose BA, Lai A, Crosta C, Thompson JL, Silverstein SM. Retinal Neurodegeneration as a Potential Biomarker of Accelerated Aging in Schizophrenia Spectrum Disorders. Schizophr Bull 2023; 49:1316-1324. [PMID: 37459382 PMCID: PMC10483469 DOI: 10.1093/schbul/sbad102] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Abstract
BACKGROUND AND HYPOTHESES Several biological markers are believed to reflect accelerated aging in schizophrenia spectrum disorders; however, retinal neural changes have not yet been explored as potential CNS biomarkers of accelerated aging in this population. The aim of this study was to determine whether retinal neural layer thinning is more strongly related to age in schizophrenia and schizoaffective disorder patients (SZ) than in a psychiatrically healthy control group (CON). STUDY DESIGN Schizophrenia (n = 60) and CON participants (n = 69) underwent spectral domain optical coherence tomography (OCT) scans to examine the following variables in both eyes: retinal nerve fiber layer (RNFL) thickness, macula central subfield (CSF) thickness, macula volume, ganglion cell layer-inner plexiform layer (GCL-IPL) thickness, optic cup volume, and cup-to-disc ratio. Eleven participants in each group had diabetes or hypertension. STUDY RESULTS Significant negative relationships between age and RNFL thickness, macula volume, and GCL-IPL thickness were observed in the SZ group, while no significant relationships were observed in the CON group. However, many of the findings in the SZ group lost significance when participants with diabetes/hypertension were removed from analyses. A notable exception to this was that the age × SZ interaction accounted for a unique proportion of variance in GCL-IPL thinning over and above the effect of diabetes/hypertension. CONCLUSIONS The results suggest that retinal atrophy occurs at an increased rate in schizophrenia spectrum disorders, potentially reflecting accelerated aging inherent to these conditions, with considerable contributions from systemic medical diseases closely linked to this population.
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Affiliation(s)
- Brittany A Blose
- Department of Psychology, University of Rochester, Rochester, NY, USA
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - Adriann Lai
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
- University Behavioral Health Care, Rutgers University, Piscataway, NJ, USA
| | - Christen Crosta
- Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, USA
| | - Judy L Thompson
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
- Department of Psychiatric Rehabilitation and Counseling Professions, Rutgers University, Piscataway, NJ, USA
| | - Steven M Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
- University Behavioral Health Care, Rutgers University, Piscataway, NJ, USA
- Department of Psychiatry, Rutgers University, Piscataway, NJ, USA
- Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, USA
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA
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McCutcheon RA, Keefe RSE, McGuire PK. Cognitive impairment in schizophrenia: aetiology, pathophysiology, and treatment. Mol Psychiatry 2023; 28:1902-1918. [PMID: 36690793 PMCID: PMC10575791 DOI: 10.1038/s41380-023-01949-9] [Citation(s) in RCA: 91] [Impact Index Per Article: 91.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 01/03/2023] [Accepted: 01/06/2023] [Indexed: 01/25/2023]
Abstract
Cognitive deficits are a core feature of schizophrenia, account for much of the impaired functioning associated with the disorder and are not responsive to existing treatments. In this review, we first describe the clinical presentation and natural history of these deficits. We then consider aetiological factors, highlighting how a range of similar genetic and environmental factors are associated with both cognitive function and schizophrenia. We then review the pathophysiological mechanisms thought to underlie cognitive symptoms, including the role of dopamine, cholinergic signalling and the balance between GABAergic interneurons and glutamatergic pyramidal cells. Finally, we review the clinical management of cognitive impairments and candidate novel treatments.
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Affiliation(s)
- Robert A McCutcheon
- Department of Psychiatry, University of Oxford, Oxford, UK.
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, London, UK.
- Oxford health NHS Foundation Trust, Oxford health NHS Foundation Trust, Oxford, UK.
| | - Richard S E Keefe
- Departments of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Philip K McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford health NHS Foundation Trust, Oxford health NHS Foundation Trust, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
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P50 sensory gating, cognitive deficits and depressive symptoms in first-episode antipsychotics-naïve schizophrenia. J Affect Disord 2023; 324:153-161. [PMID: 36587903 DOI: 10.1016/j.jad.2022.12.143] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 12/21/2022] [Accepted: 12/25/2022] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Sensory gating P50 (SG-P50) may be involved in the pathophysiological mechanisms of impaired cognition in schizophrenia (SCZ). Comorbid depressive symptoms are common in SCZ patients and are also found to be associated with their cognitive impairment. However, it is unclear whether SG-P50 is abnormal in first episode antipsychotics naïve (FEAN) SCZ patients with depressive symptoms. Our aimed to investigate the relationships between SG-P50, depressive symptoms and neurocognition in FEAN-SCZ patients. METHODS We recruited 103 FEAN-SCZ patients (depression: n = 63; non-depression: n = 40) and 55 healthy controls. SG-P50 was measured using the standard auditory dual-click (S1&S2) paradigm. Clinical symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS) and the Hamilton Depression Rating Scale-17 (HDRS-17). Cognitive performance was evaluated using the MATRICS Consensus Cognitive Battery (MCCB). RESULTS Compared with non-depressive patients, depressive patients had a significantly larger S2 amplitude (p = 0.005) and a higher S2/S1 ratio at trend level (p = 0.075) after corrected. There were significant differences in the scores of CPT-IP and Mazes (NAB) between depressive and non-depressive FEAN-SCZ patients (both p values < 0.05). For all patients, the SG-P50 S2/S1 ratio was significantly correlated with HDRS-17 score (r = 0.23, p = 0.020) and MCCB-Symbol coding (r = -0.16, p = 0.043). For depressive FEAN-SCZ patients, S2 amplitude was an independent predictor of the MCCB-Mazes (NAB) (β = -0.31, t = -2.52, p = 0.015). CONCLUSIONS SG-P50 deficit may be an informational biomarker for depressive symptoms and neurocognitive impairments in FEAN-SCZ patients.
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Li X, Deng W, Xue R, Wang Q, Ren H, Wei W, Zhang Y, Li M, Zhao L, Du X, Meng Y, Ma X, Hall MH, Li T. Auditory event-related potentials, neurocognition, and global functioning in drug naïve first-episode schizophrenia and bipolar disorder. Psychol Med 2023; 53:785-794. [PMID: 34474699 DOI: 10.1017/s0033291721002130] [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] [Indexed: 02/05/2023]
Abstract
BACKGROUND Deficits in event-related potential (ERP) including duration mismatch negativity (MMN) and P3a have been demonstrated widely in chronic schizophrenia (SZ) but inconsistent findings were reported in first-episode patients. Psychotropic medications and diagnosis might contribute to different findings on MMN/P3a ERP in first-episode patients. The present study examined MMN and P3a in first episode drug naïve SZ and bipolar disorder (BPD) patients and explored the relationships among ERPs, neurocognition and global functioning. METHODS Twenty SZ, 24 BPD and 49 age and sex-matched healthy controls were enrolled in this study. Data of clinical symptoms [Positive and Negative Symptoms Scale (PANSS), Young Manic Rating Scale (YMRS), Hamilton Depression Rating Scale (HAMD)], neurocognition [Wechsler Adult Intelligence Scale (WAIS), Cattell's Culture Fair Intelligence Test (CCFT), Delay Matching to Sample (DMS), Rapid Visual Information Processing (RVP)], and functioning [Functioning Assessment Short Test (FAST)] were collected. P3a and MMN were elicited using a passive auditory oddball paradigm. RESULTS Significant MMN and P3a deficits and impaired neurocognition were found in both SZ and BPD patients. In SZ, MMN was significantly correlated with FAST (r = 0.48) and CCFT (r = -0.31). In BPD, MMN was significantly correlated with DMS (r = -0.54). For P3a, RVP and FAST scores were significant predictors in SZ, whereas RVP, WAIS and FAST were significant predictors in BPD. CONCLUSIONS The present study found deficits in MMN, P3a, neurocognition in drug naïve SZ and BPD patients. These deficits appeared to link with levels of higher-order cognition and functioning.
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Affiliation(s)
- Xiaojing Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Rui Xue
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Hongyan Ren
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Wei Wei
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Yamin Zhang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Mingli Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiangdong Du
- Suzhou Psychiatry hospital, The Affiliated Guangji Hospital of Soochow University, Jiangsu, China
| | - Yajing Meng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
- Suzhou Psychiatry hospital, The Affiliated Guangji Hospital of Soochow University, Jiangsu, China
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Ivanova E, Maslinkova D, Polnareva N, Milanova V. Case series: Cariprazine in early-onset schizophrenia. Front Psychiatry 2023; 14:1155518. [PMID: 37124247 PMCID: PMC10140560 DOI: 10.3389/fpsyt.2023.1155518] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 03/28/2023] [Indexed: 05/02/2023] Open
Abstract
Introduction Negative symptoms are part of the clinical manifestations of schizophrenia and their presence is associated with a poorer prognosis, significantly limited vocational opportunities, impaired quality of life and social functioning. In the clinical practice, treatment of negative symptoms in patients with schizophrenia, is a challenge. Cariprazine is a novel partial agonist of D3 and D2 receptors, and shows a high affinity for D3, with good tolerability, good response to schizophrenic symptoms and limited side effects. We present two cases of young patients with predominantly negative symptoms during treatment with an atypical antipsychotic, administered in a stable dose and therapeutic range, and for at least 4 weeks prior to the Cariprazine switch. Methods Two patients (men aged 21 and 22) with schizophrenia, exhibiting predominantly negative symptoms, are presented. Their diagnosis was based on, DSM-5 criteria (295.10).Patients were treated with Cariprazine at a daily dose of 4.5 mg. They were followed for a period of 18 months and assessed with Positive and Negative Syndrome Scale (PANSS), Global Assessment of Functioning (GAF) and Clinical Global Impression-Severity (CGI-S), at the fourth week of initiation of treatment with Cariprazine, at 6 months, at 12 months and at 18 months. Their mean initial value was 75.5 on PANSS, 4.0 on CGI-S, and 52.5 on GAF. Both patients were treated with stable doses of atypical antipsychotic-Risperidone at a daily dose of 4,5 mg. Cross-titration to Cariprazine was initiated, from 1.5 mg daily dose up to 4,5 mg daily dose, during a period of 2 weeks. Results After 18 months of treatment with Cariprazine at a daily dose of 4.5 mg, the following results were reported: mean value was 57.5 on PANSS, 3.0 on CGI-S, and 74.5 on GAF. The overall PANSS mean score decreased by 23.8%, the CGI-S mean score improved by 25% and the mean GAF score increased by 29.5%. The positive PANSS subscale score decreased minimally, from 20 to 16, while for the negative subscale the improvement was 29.8%.Cariprazine was well tolerated by patients and no side effects were observed from it during therapy. Discussion After 18 months Cariprazine succeeded in improving negative symptoms, global functioning, and global clinical impression. In young schizophrenic patients with a predominance of negative symptoms, the cariprazine may be a successful alternative.
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Affiliation(s)
- Elena Ivanova
- Clinic of Child Psychiatry “St. Nicholas”, University Hospital “Alexandrovska”, Sofia, Bulgaria
- Department of Psychiatry and Medical Psychology, Medical University - Sofia, Sofia, Bulgaria
| | - Desislava Maslinkova
- Clinic of Child Psychiatry “St. Nicholas”, University Hospital “Alexandrovska”, Sofia, Bulgaria
- Department of Psychiatry and Medical Psychology, Medical University - Sofia, Sofia, Bulgaria
- *Correspondence: Desislava Maslinkova,
| | - Nadia Polnareva
- Clinic of Child Psychiatry “St. Nicholas”, University Hospital “Alexandrovska”, Sofia, Bulgaria
| | - Vihra Milanova
- Clinic of Psychiatry, University Hospital “Alexandrovska”, Sofia, Bulgaria
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Zierhut M, Böge K, Bergmann N, Hahne I, Braun A, Kraft J, Ta TMT, Ripke S, Bajbouj M, Hahn E. The Relationship Between the Recognition of Basic Emotions and Negative Symptoms in Individuals With Schizophrenia Spectrum Disorders - An Exploratory Study. Front Psychiatry 2022; 13:865226. [PMID: 35573376 PMCID: PMC9091587 DOI: 10.3389/fpsyt.2022.865226] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
Current research suggests that emotion recognition is impaired in individuals affected by schizophrenia spectrum disorders (SSD). However, the specific impact of negative symptoms on the ability to recognize single basic emotions has not yet been explored sufficiently and is the aim of the present study. A sample of N = 66 individuals diagnosed with SSD was recruited at the Charité - Universitätsmedizin Berlin. In a first step, correlation analyses were conducted between seven different negative symptom subdomains of the Positive and Negative Syndrome Scale (PANSS) and the accuracy and latency in recognizing the six basic emotions (anger, disgust, fear, happiness, sadness, surprise) using the Emotion Recognition Task (ERT) of the Cambridge Neuropsychological Test Automated Battery (CANTAB). The significant correlations were subjected to linear regression models that controlled for the significant covariates diagnoses, age, sex, and education. Results revealed that in individuals with SSD the negative symptom domain of blunted affect significantly predicted the accuracy of emotion recognition performance (p < 0.05), particularly, when recognizing happiness (p < 0.05). Additionally, we found that stereotyped thinking also predicted the performance of emotion recognition, especially the response latency (p < 0.05) and difficulty in abstract thinking predicted the recognition of fear (p < 0.05). However, the nominal significances did not withstand correction for multiple tests and therefore need to be followed up in further studies with a larger sample.
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Affiliation(s)
- Marco Zierhut
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany.,BIH Charitè Junior Clinician Scientist Program, BIH Biomedical Innovation Academy, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Kerem Böge
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Niklas Bergmann
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Inge Hahne
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Alice Braun
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Julia Kraft
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Thi Minh Tam Ta
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Malek Bajbouj
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Eric Hahn
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
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No Effect of Coenzyme Q10 on Cognitive Function, Psychological Symptoms, and Health-related Outcomes in Schizophrenia and Schizoaffective Disorder: Results of a Randomized, Placebo-Controlled Trial. J Clin Psychopharmacol 2021; 41:53-57. [PMID: 33347024 DOI: 10.1097/jcp.0000000000001330] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Cognitive impairments, negative symptoms, affective symptoms, and low energy are highly prevalent features of schizophrenia. Mitochondrial dysfunction has been hypothesized as one of the numerous factors to underlie the manifestation of these symptoms. The objective of this study was to evaluate whether Coenzyme Q10 (CoQ10) has a role in the treatment of schizophrenia and schizoaffective disorder. METHODS A double-blind, randomized, placebo-controlled trial was conducted to assess the effects of CoQ10 supplementation (300 mg/day) on the co-primary outcomes of attention and working memory performance after 3 and 6 months. Secondary outcomes included plasma CoQ10 levels, mitochondrial function, energy, depression, anxiety, negative symptoms, and quality oflife. FINDINGS In total, 72 patients were randomized to intervention groups. Overall, there was no effect of CoQ10 supplementation on the primary outcome measures at 3 or 6 months. Further, with the exception of plasma CoQ10 levels, CoQ10 supplementation also had no effect on the secondary outcomes. At 3 months, CoQ10 concentration was significantly higher in the CoQ10 group (3.85 μg/mL) compared with placebo (1.13 μg/mL); this difference was not present at 6 months. CONCLUSIONS The results of the study suggest that CoQ10 supplementation at 300 mg/day for 6 months is unlikely to be beneficial for cognitive, psychological and health-related outcomes in schizophrenia and schizoaffective disorder. However, a number of limitations including low adherence, modest sample size, and attrition, likely reduce estimates of effects. As such, results should be considered preliminary.
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Cariprazine, A Broad-Spectrum Antipsychotic for the Treatment of Schizophrenia: Pharmacology, Efficacy, and Safety. Adv Ther 2021; 38:3652-3673. [PMID: 34091867 PMCID: PMC8279990 DOI: 10.1007/s12325-021-01797-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 05/15/2021] [Indexed: 12/22/2022]
Abstract
Schizophrenia is characterized by positive, negative, cognitive, and affective symptoms. Antipsychotic medications, which work by blocking the dopamine D2 receptor, are the foundation of pharmacotherapy for schizophrenia to control positive symptoms. Cariprazine is a dopamine D3 receptor-preferring D3/D2 partial agonist antipsychotic that is approved for the treatment of schizophrenia (USA and European Union [EU]) and manic and depressive episodes associated with bipolar I disorder (USA). Partial agonist agents have a lower intrinsic activity at receptors than full agonists, so they act as either functional agonists or functional antagonists depending on the surrounding neurotransmitter environment. Beyond efficacy against positive symptoms, the unique D3-preferring partial agonist pharmacology of cariprazine suggests potential advantages against negative symptoms, and cognitive and functional impairment, which are challenging to treat. The efficacy and safety of cariprazine in adult patients with schizophrenia have been demonstrated in four short-term randomized, double-blind, placebo-controlled clinical trials, two long-term open-label studies, one relapse prevention study, and one prospective negative symptom study versus the active comparator risperidone. Additional post hoc investigations have supported efficacy across individual symptoms and domains in schizophrenia, as well as in diverse areas of interest including cognition, functioning, negative symptoms, hostility, and global well-being. This comprehensive review of cariprazine summarizes its pharmacologic profile, clinical trial evidence, and post hoc investigations. Collective evidence suggests that the pharmacology of cariprazine may offer broad-spectrum efficacy advantages for patients with schizophrenia, including effects against difficult-to-treat negative and cognitive symptoms, as well as functional improvements. Cariprazine was generally safe and well tolerated in patients with short- and long-term exposure and no new safety concerns were associated with longer-duration treatment. Trial registration ClinicalTrials.gov identifiers, NCT00404573, NCT00694707, NCT01104766, NCT01104779, NCT01412060, NCT00839852, NCT01104792.
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Maes M, Vojdani A, Sirivichayakul S, Barbosa DS, Kanchanatawan B. Inflammatory and Oxidative Pathways Are New Drug Targets in Multiple Episode Schizophrenia and Leaky Gut, Klebsiella pneumoniae, and C1q Immune Complexes Are Additional Drug Targets in First Episode Schizophrenia. Mol Neurobiol 2021; 58:3319-3334. [PMID: 33675500 DOI: 10.1007/s12035-021-02343-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/24/2021] [Indexed: 12/15/2022]
Abstract
Breakdown of paracellular and vascular pathways and activated neuroimmune and oxidative pathways was established in (deficit) schizophrenia. The aim of this study was to delineate (a) the differences in these pathways between stable-phase, first (FES) and multiple (MES) episode schizophrenia and (b) the pathways that determine the behavioral-cognitive-physical-psychosocial (BCPS) deterioration in FES/MES. This study included 21 FES and 58 FES patients and 40 healthy controls and measured indicants of serum C1q circulating immune complexes (CIC), leaky gut, immune activation, and oxidative stress toxicity (OSTOX). We constructed a BCPS-worsening index by extracting a latent vector from symptomatic, neurocognitive, and quality of life data. FES was associated with higher IgA CIC-C1q, IgA directed to cadherin, catenin, and plasmalemma vesicle-associated protein, and IgA/IgM to Gram-negative bacteria as compared with FES and controls. In FES patients, the BCPS-worsening score was predicted (48.7%) by IgA to Klebsiella pneumoniae and lowered paraoxonase 1 activity. In MES patients, the BCPS-worsening score was explained (42.7%) by increased tumor necrosis factor-α, OSTOX, and number of episodes. In schizophrenia, 34.0% of the variance in the BCPS-worsening score was explained by IgA to K. pneumoniae, OSTOX, and number of episodes. Increased IgA to K. pneumoniae was the single best predictor of residual psychotic symptoms in FES and MES. This study delineated different mechanistic processes in FES, including breakdown of adherens junctions, bacterial translocation, and IgA CIC-C1q formation, and MES, including immune and oxidative neurotoxic pathways. FES and MES comprise different staging subtypes, i.e., FES and MES with and without worsening.
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Affiliation(s)
- Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
- Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria.
- IMPACT Strategic Research Center, Deakin University, Vic, Geelong, Australia.
| | - Aristo Vojdani
- Immunosciences Lab., Inc., Los Angeles, CA, USA
- Cyrex Labs, LLC, Phoenix, AZ, USA
- Department of Preventive Medicine, Loma Linda University, Loma Linda, CA, USA
| | | | - Decio S Barbosa
- Health Sciences Graduate Program, Health Sciences Center, State University of Londrina, Londrina, PR, Brazil
| | - Buranee Kanchanatawan
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Association of depressive symptoms with cognitive impairment in patients with never-treated first-episode schizophrenia: Analysis of the Depression in Schizophrenia in China (DISC) study. Gen Hosp Psychiatry 2021; 71:108-113. [PMID: 34000518 DOI: 10.1016/j.genhosppsych.2021.04.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 04/25/2021] [Accepted: 04/29/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Depressive symptoms and cognitive dysfunction are common in patients with schizophrenia and depressive disorder. This study aimed at exploring whether and how depressive symptoms were correlated with neuro-cognitive impairment in patients with never-treated first-episode (NTFE) schizophrenia. METHODS The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was administered to 79 patients and 80 healthy controls to assess neuropsychological function. For all patients, the 17-item Hamilton Depression Rating Scale (HAMD-17) was adopted to evaluate depressive symptoms, and the Positive and Negative Syndrome Scale (PANSS) was utilized to assess psychopathological symptoms. RESULTS Thirty-nine patients (49.37%) met the criteria for comorbid depressive symptoms. The RBANS total and the four index scores in the patients were significantly lower than those in the healthy controls. Further, compared with patients without depressive symptoms, patients with depressive symptoms scored lower in attention index, but higher in PANSS general psychopathology and total scores. The HAMD-17 total score was significantly correlated with attention, PANSS total, and PANSS general psychopathology scores. Moreover, multiple regression analysis identified education and HAMD-17 score as the contributors to attention. CONCLUSION Our results suggest that the rate of depressive symptoms in NTFE schizophrenia is high, which is correlated with neuro-cognitive impairment, especially attention and psychopathology.
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Almulla AF, Al-Rawi KF, Maes M, Al-Hakeim HK. In schizophrenia, immune-inflammatory pathways are strongly associated with depressive and anxiety symptoms, which are part of a latent trait which comprises neurocognitive impairments and schizophrenia symptoms. J Affect Disord 2021; 287:316-326. [PMID: 33812245 DOI: 10.1016/j.jad.2021.03.062] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/13/2021] [Accepted: 03/19/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND The aim is to examine whether biomarkers of the immune-inflammatory response (IRS) and endogenous opioid (EOS) systems are associated with affective symptoms in schizophrenia. METHODS We recruited 115 schizophrenia patients and 43 healthy controls and assessed the Hamilton Depression (HDRS) and Anxiety (HAM-A) rating Scale scores as well as serum levels of interleukin (IL)-6, IL-10, eotaxin (CCL11), high mobility group box 1 (HMGB1), Dickkopf-related protein 1 (DKK1), and mu (MOR) and kappa (KOR) opioid receptors. RESULTS The HDRS and HAM-A scores are significantly and positively correlated with a) psychosis, hostility, excitation, mannerism, negative symptoms, psychomotor retardation, and formal thought disorders; and b) lowered scores on semantic and episodic memory, executive functions, and attention tests as measured with the Brief Assessment of Cognition in Psychiatry. Both HDRS and HAM-A are significantly increased in non-responders to treatment as compared with partial responders. Both affective scores are strongly associated with a latent vector extracted from all symptoms, reflecting overall severity of schizophrenia symptoms (OSOS), and neurocognitive test scores, reflecting a generalized cognitive decline (G-CoDe). The HDRS score was strongly and positively associated with IL-6, HMGB1, KOR, and MOR levels, and the HAM-A score with IL-6, IL-10, CCL11, HMGB1, KOR, and MOR levels. A single latent trait may be extracted from OSOS, G-CoDe, and the HDRS and HAMA scores, and this latent vector score is strongly predicted by HMGB1, MOR, and DKK1. CONCLUSION Immune-inflammatory and EOS pathways contribute to the phenome of schizophrenia, which comprises OSOS, affective, and physiosomatic symptoms, and G-CoDe.
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Affiliation(s)
- Abbas F Almulla
- Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq.
| | | | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria; IMPACT Strategic Research Centre, Deakin University, PO Box 281, Geelong, VIC, 3220, Australia.
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Maes M, Kanchanatawan B. In (deficit) schizophrenia, a general cognitive decline partly mediates the effects of neuro-immune and neuro-oxidative toxicity on the symptomatome and quality of life. CNS Spectr 2021:1-10. [PMID: 33843548 DOI: 10.1017/s1092852921000419] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Schizophrenia and deficit schizophrenia are accompanied by neurocognitive impairments. The aim of this study was to examine whether a general factor underpins impairments in key Cambridge Neuropsychological Test Automated Battery (CANTAB) probes, verbal fluency test (VFT), world list memory (WLM), True Recall, and mini mental state examination (MMSE). METHODS We recruited 80 patients with schizophrenia and 40 healthy controls. All patients were assessed using CANTAB tests, namely paired-association learning, rapid visual information processing, spatial working memory, one touch stockings of Cambridge, intra/extradimensional set-shifting (IED), and emotional recognition test. RESULTS We found that a general factor, which is essentially unidimensional, underlies those CANTAB, VFT, WLM, True Recall, and MMSE scores. This common factor shows excellent psychometric properties and fits a reflective model and, therefore, reflects a general cognitive decline (G-CoDe) comprising deficits in semantic and episodic memory, recall, executive functions, strategy use, rule acquisition, visual sustained attention, attentional set-shifting, and emotional recognition. Partial least squares analysis showed that 40.5% of the variance in G-CoDe is explained by C-C motif ligand 11, IgA to tryptophan catabolites, and increased oxidative toxicity, and that G-CoDe explains 44.8% of the variance in a general factor extracted from psychosis, hostility, excitation, mannerism, negative symptoms, formal thought disorders, and psychomotor retardation, and 40.9% in quality-of-life scores. The G-CoDe is significantly greater in deficit than in nondeficit schizophrenia. CONCLUSIONS A common core shared by a multitude of neurocognitive impairments (G-CoDe) mediates the effects of neurotoxic pathways on the phenome of (deficit) schizophrenia.
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Affiliation(s)
- Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria
- IMPACT Strategic Research Center, Deakin University, Geelong, Victoria, Australia
| | - Buranee Kanchanatawan
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Chen S, Liu Y, Liu D, Zhang G, Wu X. The difference of social cognitive and neurocognitive performance between patients with schizophrenia at different stages and influencing factors. Schizophr Res Cogn 2021; 24:100195. [PMID: 33718008 PMCID: PMC7933534 DOI: 10.1016/j.scog.2021.100195] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 02/12/2021] [Accepted: 02/14/2021] [Indexed: 01/12/2023]
Abstract
Objects To explore the specific features of cognitive function in patients with schizophrenia at different stages and its influencing factors. Methods The MATRICS Consensus Cognitive Battery (MCCB) and the Brief Psychiatric Rating Scale (BPRS) were administered to 208 patients with schizophrenia, including 158 clinically stable schizophrenia (CSS) and 50 first-episode patients with schizophrenia (FES), and 40 healthy controls (HC). Propensity score matching (PSM) was used to match the CSS and FES. Results (1) The MCCB and it,s sub-scale scores in patients with schizophrenia were lower than HC, but the score of emotion intelligence showed no significant difference between CSS and HC. (2) Before PSM, the cognitive scores of FES were significantly lower than CSS (except trail making A test, Hopkins verbal learning, category fluency). After PSM, patients with CSS still do better in performing trail making A test, emotional intelligence, continuous performances and MCCB total score. (3) BPRS total score, gender, group (FES vs CSS) and age were independent contributors to emotion intelligence, and BPRS total score had the biggest effect. (4) The effect of group (FES vs CSS) on MCCB total score and emotional intelligence was statistically significant. Conclusions There are significant cognitive deficits in patients with FES and CSS compared with HC. FES have greater cognitive impairments compared with CSS. Emotion intelligence of CSS may be even close to the level of HC. BPRS total score, gender, group (FES vs CSS) and age may be the independent contributors to social cognition. Group (FES vs CSS) may play an important effect on general cognition and social cognition.
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Affiliation(s)
- Shengyun Chen
- Psychiatry Department, The 3rd Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yaxi Liu
- Psychiatry Department, The 3rd Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Dennis Liu
- Northern Adelaide Local Health Network, Adelaide, SA, Australia.,Discipline of Psychiatry, School of Medicine, University of Adelaide, South Australia, Australia
| | - Guican Zhang
- Psychiatry Department, The 3rd Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaoli Wu
- Psychiatry Department, The 3rd Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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Mucci F, Della Vecchia A, Baroni S, Marazziti D. Cariprazine as a therapeutic option for schizophrenia: a drug evaluation. Expert Opin Pharmacother 2021; 22:415-426. [PMID: 33126812 DOI: 10.1080/14656566.2020.1845315] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Introduction: Schizophrenia is a very disabling condition that may result in a significant impairment of individual, professional, and social adjustments. Antipsychotics (APs), the first-line treatment for schizophrenia, in many cases modify the course of the disease, by reducing the institutionalization risk, at the price of severe and invalidating side effects. Cariprazine is one of the latest second-generation APs (SGAs) acting as a partial agonist of type 2 and 3 dopamine receptors, which was recently approved for the treatment of adult schizophrenia.Areas covered: The authors provide a critical review and commentary on the currently available data on the effectiveness and tolerability of cariprazine in schizophrenic patients, with a particular focus on its specific target symptoms.Expert opinion: Cariprazine appears significantly effective on both acute and maintenance treatment of schizophrenia, and in improving positive, negative, and cognitive symptoms, slightly more than other SGAs. It shows a good safety and tolerability profile, with akathisia being its most common side effect. Although further independent studies are needed to clarify its precise advantages over other SGAs, cariprazine seems a promising compound not only in schizophrenia, but also in a broad range of psychiatric conditions, including perhaps bipolar and addictive disorders.
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Affiliation(s)
- Federico Mucci
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena Italy
| | - Alessandra Della Vecchia
- Department Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Stefano Baroni
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena Italy
| | - Donatella Marazziti
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena Italy.,Saint Camillus International University of Health and Medical Sciences, Unicamillus University of Rome, Italy
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Van Dyk K, Siddarth P, Rossetti M, Ercoli LM, Milillo MM, Lavretsky H. Memantine can protect against inflammation-based cognitive decline in geriatric depression. Brain Behav Immun Health 2020; 9:100167. [PMID: 34589902 PMCID: PMC8474499 DOI: 10.1016/j.bbih.2020.100167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 10/22/2020] [Accepted: 10/23/2020] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION Geriatric depression is frequently accompanied by cognitive complaints and inflammation that increase risk for treatment-resistant depression and dementia. Memantine, a neuroprotective drug, can improve depression, inflammation, and help prevent cognitive decline. In our six-month clinical trial, escitalopram/memantine (ESC/MEM) improved mood and cognition compared to escitalopram/placebo treatment (ESC/PBO; NCT01902004). In this report, we examined the impact of baseline inflammation on mood and cognitive outcomes. MATERIALS AND METHODS We measured a panel of inflammatory cytokine markers using Human 38-plex magnetic cytokine/chemokine kits (EMD Millipore, HCYTMAG-60K-PX38) in 90 older adults 60 years and older with major depression enrolled in a 6-month double-blind placebo-controlled trial of escitalopram + memantine (ESC/MEM) in depressed older adults with subjective memory complaints. Four cytokine factors were derived and linear models were estimated to examine the predictive ability of cytokine levels on treatment induced change in depression and cognition. RESULTS Of the 90 randomized participants, 62 completed the 6-month follow up assessment. Both groups improved significantly on depression severity (HAM-D score), but not on cognitive outcomes at six months. Cytokine factor scores were not significantly different between ESC/MEM (n = 45) and ESC/PBO (n = 45) at baseline. Pro-inflammatory biomarkers at baseline predicted a decline in executive functioning in the ESC/PBO group but not in the ESC/MEM group, interaction F(1,52) = 4.63, p = .04. DISCUSSION In this exploratory analysis, the addition of memantine to escitalopram provided a protective effect on executive functioning in older depressed adults. Future studies are needed to replicate the association of cytokine markers to antidepressant and neuroprotective treatment-related change in cognition in geriatric depression.
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Affiliation(s)
- Kathleen Van Dyk
- Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | - Prabha Siddarth
- Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | - Maura Rossetti
- UCLA Immunogenetics Center, Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Linda M. Ercoli
- Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | - Michaela M. Milillo
- Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
| | - Helen Lavretsky
- Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA
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Demetriou EA, Park SH, Ho N, Pepper KL, Song YJC, Naismith SL, Thomas EE, Hickie IB, Guastella AJ. Machine Learning for Differential Diagnosis Between Clinical Conditions With Social Difficulty: Autism Spectrum Disorder, Early Psychosis, and Social Anxiety Disorder. Front Psychiatry 2020; 11:545. [PMID: 32636768 PMCID: PMC7319094 DOI: 10.3389/fpsyt.2020.00545] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 05/27/2020] [Indexed: 12/14/2022] Open
Abstract
Differential diagnosis in adult cohorts with social difficulty is confounded by comorbid mental health conditions, common etiologies, and shared phenotypes. Identifying shared and discriminating profiles can facilitate intervention and remediation strategies. The objective of the study was to identify salient features of a composite test battery of cognitive and mood measures using a machine learning paradigm in clinical cohorts with social interaction difficulties. We recruited clinical participants who met standardized diagnostic criteria for autism spectrum disorder (ASD: n = 62), early psychosis (EP: n = 48), or social anxiety disorder (SAD: N = 83) and compared them with a neurotypical comparison group (TYP: N = 43). Using five machine-learning algorithms and repeated cross-validation, we trained and tested classification models using measures of cognitive and executive function, lower- and higher-order social cognition and mood severity. Performance metrics were the area under the curve (AUC) and Brier Scores. Sixteen features successfully differentiated between the groups. The control versus social impairment cohorts (ASD, EP, SAD) were differentiated by social cognition, visuospatial memory and mood measures. Importantly, a distinct profile cluster drawn from social cognition, visual learning, executive function and mood, distinguished the neurodevelopmental cohort (EP and ASD) from the SAD group. The mean AUC range was between 0.891 and 0.916 for social impairment versus control cohorts and, 0.729 to 0.781 for SAD vs neurodevelopmental cohorts. This is the first study that compares an extensive battery of neuropsychological and self-report measures using a machine learning protocol in clinical and neurodevelopmental cohorts characterized by social impairment. Findings are relevant for diagnostic, intervention and remediation strategies for these groups.
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Affiliation(s)
- Eleni A Demetriou
- Autism Clinic for Translational Research, Child Neurodevelopment and Mental Health Team, Brain and Mind Centre, Children's Hospital Westmead l Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Autstralia
| | - Shin H Park
- Autism Clinic for Translational Research, Child Neurodevelopment and Mental Health Team, Brain and Mind Centre, Children's Hospital Westmead l Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Autstralia
| | - Nicholas Ho
- Autism Clinic for Translational Research, Child Neurodevelopment and Mental Health Team, Brain and Mind Centre, Children's Hospital Westmead l Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Autstralia
| | - Karen L Pepper
- Autism Clinic for Translational Research, Child Neurodevelopment and Mental Health Team, Brain and Mind Centre, Children's Hospital Westmead l Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Autstralia
| | - Yun J C Song
- Autism Clinic for Translational Research, Child Neurodevelopment and Mental Health Team, Brain and Mind Centre, Children's Hospital Westmead l Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Autstralia
| | | | - Emma E Thomas
- Autism Clinic for Translational Research, Child Neurodevelopment and Mental Health Team, Brain and Mind Centre, Children's Hospital Westmead l Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Autstralia
| | - Ian B Hickie
- Autism Clinic for Translational Research, Child Neurodevelopment and Mental Health Team, Brain and Mind Centre, Children's Hospital Westmead l Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Autstralia.,Youth Mental Health Unit, Brain and Mind Centre, Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Autstralia
| | - Adam J Guastella
- Autism Clinic for Translational Research, Child Neurodevelopment and Mental Health Team, Brain and Mind Centre, Children's Hospital Westmead l Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Autstralia.,Youth Mental Health Unit, Brain and Mind Centre, Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Autstralia
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Tian Y, Liu D, Wang D, Wang J, Xu H, Dai Q, Andriescue EC, Wu HE, Xiu M, Chen D, Wang L, Chen Y, Yang R, Wu A, Wei CW, Zhang X. Obesity in Chinese patients with chronic schizophrenia: Prevalence, clinical correlates and relationship with cognitive deficits. Schizophr Res 2020; 215:270-276. [PMID: 31653580 DOI: 10.1016/j.schres.2019.10.017] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 10/08/2019] [Accepted: 10/09/2019] [Indexed: 12/18/2022]
Abstract
The prevalence of obesity in schizophrenia patients is high, especially in chronic and medicated patients. Few studies have explored the relationships between obesity, cognition and clinical correlates in patients with schizophrenia. This study was designed to assess the prevalence and clinical correlates of obesity and its relationship to cognitive impairment in Chinese patients with schizophrenia. We recruited 633 inpatients and collected clinical, demographic data and lipid parameters. The Positive and Negative Syndrome Scale (PANSS) and its five-factor model were adopted for psychopathological symptoms. The prevalence of comorbid obesity in schizophrenia patients was 16.4%. The plasma levels of glucose, triglyceride, low density lipoprotein (LDL), apolipoprotein B, and cholesterol were higher, but high density lipoprotein (HDL) levels were lower in obese patients than those in non-obese patients (all p < 0.05). Furthermore, obese patients had lower PANSS negative symptom, cognitive factor and total scores than non-obese patients (all p < 0.05). Correlation analysis showed a significant correlation between BMI and the following variables: age, marriage, gender, negative symptoms, general psychopathological symptoms, cognitive factor, PANSS total score, glucose, triglycerides, HDL, LDL, cholesterol and apolipoprotein B (all p < 0.05). Further multiple regression showed that PANSS cognitive factor, PANSS total score, and triglyceride were important independent predictors of obesity. Our results indicate a high prevalence of obesity in Chinese patients with chronic schizophrenia. Multiple demographics, clinical variables, and lipid parameters are associated with obesity in schizophrenia. Moreover, obesity appears to be a protective factor for psychological symptoms. However, not having objective assessments for cognition in this study is a limitation.
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Affiliation(s)
- Yang Tian
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Dianying Liu
- Departtment of Psychiatry, The Third People's Hospital of Ganzhou City, Ganzhou, Jiangxi Province, China
| | - Dongmei Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jiesi Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Hang Xu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Qilong Dai
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Elena C Andriescue
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hanjing E Wu
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Meihong Xiu
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Dachun Chen
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Li Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yiwen Chen
- Departtment of Psychiatry, The Third People's Hospital of Ganzhou City, Ganzhou, Jiangxi Province, China
| | - Ruilang Yang
- Departtment of Psychiatry, The Third People's Hospital of Ganzhou City, Ganzhou, Jiangxi Province, China
| | - Anshi Wu
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Chang Wei Wei
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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21
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Liu J, Dong Q, Lu X, Sun J, Zhang L, Wang M, Liu B, Ju Y, Wan P, Guo H, Zhao F, Zhang X, Zhang Y, Li L. Influence of comorbid anxiety symptoms on cognitive deficits in patients with major depressive disorder. J Affect Disord 2020; 260:91-96. [PMID: 31493645 DOI: 10.1016/j.jad.2019.08.091] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 08/27/2019] [Accepted: 08/28/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) patients with comorbid anxiety symptoms showed obvious cognitive deficits. However, it remains unclear whether comorbid anxiety symptoms will make a specific contribution to cognitive deficits in MDD. METHODS Executive function, processing speed, attention and memory were assessed in 162 MDD patients, and 142 healthy controls (HCs) by a comprehensive neuropsychological battery. 14-item Hamilton Anxiety Rating Scale (HAM-A) was used for anxiety symptoms and MDD patients with HAM-A total score >14 were classified into MDD with comorbid anxiety (MDDA) group. A multivariate analysis of covariance and regression models was conducted to evaluate the effects of anxiety symptoms on cognitive deficits. RESULTS There were no significantly differences in all 4 cognitive domains between MDD alone and MDDA patients (all p < 0.05). In MDDA subgroup, HAM-A total score contributed to executive function and memory (both p < 0.05), while HAM-A psychic symptoms contributed to all 4 domains (all p < 0.05). Moreover, after controlling for the severity of depression, either anxiety symptoms shown as HAMA total score or psychic anxiety symptoms only contributed significantly to the executive function performance. LIMITATIONS The cross-sectional design made it hard to acquire a cognitive performance trajectory accompanied by the fluctuations in anxiety symptoms. CONCLUSION Our findings suggest that there is no significant difference in cognitive performance between MDD alone and MDDA patients. However, comorbid anxiety, especially psychic anxiety may contribute to extensive cognitive deficits in MDDA patients. Notably, anxiety symptoms only independently triggered executive dysfunction when eliminating effect of the severity of depression.
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Affiliation(s)
- Jin Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Qiangli Dong
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Xiaowen Lu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Jinrong Sun
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Liang Zhang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Mi Wang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Bangshan Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Yumeng Ju
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Ping Wan
- Zhumadian Psychiatric Hospital, Zhumadian, Henan 463000, China
| | - Hua Guo
- Zhumadian Psychiatric Hospital, Zhumadian, Henan 463000, China
| | - Futao Zhao
- Zhumadian Psychiatric Hospital, Zhumadian, Henan 463000, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Yan Zhang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China.
| | - Lingjiang Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China.
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22
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Giedraitiene N, Kaubrys G. Distinctive Pattern of Cognitive Disorders During Multiple Sclerosis Relapse and Recovery Based on Computerized CANTAB Tests. Front Neurol 2019; 10:572. [PMID: 31214108 PMCID: PMC6558046 DOI: 10.3389/fneur.2019.00572] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 05/15/2019] [Indexed: 01/23/2023] Open
Abstract
Background: Cognition may be affected at least as seriously as physical function during multiple sclerosis (MS) relapse, however MS relapse related cognitive disorders are still underdiagnosed and poorly characterized. The limited number of paper-pencil tests were used for assessment, and nevertheless, some significant changes were found. Unlike the paper-pencil tests, computerized batteries and tests are more sensitive and highly standardized, produce instant scoring and can minimize the learning and practice effects on follow-up. We investigated the cognition during MS relapse with the Cambridge Neuropsychological Test Automated Battery (CANTAB), which has shown sensitivity to cognitive dysfunction across different clinical groups, including patients with MS. Objective: The objective of the study was to assess the cognitive functions with CANTAB battery in MS patients during relapse, in stable MS patients, and healthy controls, and to establish the timing and pattern of cognitive recovery after relapse. Methods: Sixty relapsing, thirty stable MS patients, and thirty controls were assessed with CANTAB. The relapse group was assessed during multiple sclerosis relapse and 1 and 3 months after the first assessment. Results: The score of the difficult task of spatial planning was worse in MS relapse group than in MS stable group (p < 0.05). The scores of medium difficulty tasks of spatial planning, episodic visual recall and working memory were worse in the relapse group than in the control group (p < 0.05), while in stable MS and control groups, the scores of these tasks didn't differ. The most significant improvement of speed of response, spatial planning, episodic visual recall memory and spatial working memory, was established at 1 month after the first assessment, additional improvement of spatial planning and working memory was observed at 3 months after the first assessment. Conclusions: The results of this study indicate that cognitive function is affected during MS relapse. The difficult task of CANTAB battery, which assesses the spatial planning, showed MS relapse related cognitive dysfunction. The changes in scores of episodic visual recall and working memory may be related to MS relapse. A significant improvement in the speed of response, spatial planning, episodic visual recall and working memory was established at 1 month after MS relapse. The additional improvement in spatial planning for the most difficult task and working memory was observed at 3 months after MS relapse. It may be possible that the practice effect had the impact on the improvement of cognitive scores that was noted in relapsing MS patients.
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Affiliation(s)
- Natasa Giedraitiene
- Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
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23
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Maguire Á, Hargreaves A, Gill M. Coenzyme Q10 and neuropsychiatric and neurological disorders: relevance for schizophrenia. Nutr Neurosci 2018; 23:756-769. [PMID: 30537908 DOI: 10.1080/1028415x.2018.1556481] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objective: Mitochondrial dysfunction has been implicated in the pathophysiology of schizophrenia and other neuropsychiatric disorders. Though the exact mechanisms and clinical implications for this dysfunction are not fully determined, there is a hypothesis that deficiency in coenzyme Q10 (CoQ10) may contribute to mitochondrial impairments and be reflected in cognitive, affective, and energy disturbances in the disorders. CoQ10 is a critical component of the mitochondrial respiratory chain and an essential free radical scavenger, necessary for mitochondrial function. Here, we review the results of CoQ10 supplementation interventions for adults with various neurological and neuropsychiatric disorders and consider the therapeutic potential of CoQ10 supplementation for schizophrenia in light of these studies. Methods: A literature review of randomised controlled trials and open-label studies investigating the effect of CoQ10 as a single intervention in adults with neurological and neuropsychiatric disorders was conducted. Results: CoQ10 supplementation has some positive effects on fatigue, cognitive impairment and affective difficulties in several neurological and neuropsychiatric conditions with associated mitochondrial dysfunction. Discussion: CoQ10 may be of therapeutic value to schizophrenia given evidence of mitochondrial dysfunction in the disorder.
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Affiliation(s)
- Áine Maguire
- Department of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - April Hargreaves
- Department of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland.,Department of Psychology, National College of Ireland, Dublin, Ireland
| | - Michael Gill
- Department of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland
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24
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Sirivichayakul S, Kanchanatawan B, Thika S, Carvalho AF, Maes M. Eotaxin, an Endogenous Cognitive Deteriorating Chemokine (ECDC), Is a Major Contributor to Cognitive Decline in Normal People and to Executive, Memory, and Sustained Attention Deficits, Formal Thought Disorders, and Psychopathology in Schizophrenia Patients. Neurotox Res 2018; 35:122-138. [PMID: 30056534 DOI: 10.1007/s12640-018-9937-8] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 07/12/2018] [Accepted: 07/18/2018] [Indexed: 12/15/2022]
Abstract
Eotaxin is increased in neurodegenerative disorders and schizophrenia, and preclinical studies indicate that eotaxin may induce cognitive deficits. This study aims to examine whether peripheral levels of eotaxin impact cognitive functioning in healthy volunteers and formal thought disorder (FTD) and psychopathology in schizophrenia patients. Serum levels of eotaxin were assayed and cognitive tests were performed on a sample of 40 healthy participants and 80 schizophrenia patients. Among healthy participants, eotaxin levels were significantly associated with episodic/semantic memory, executive functions, Mini Mental State Examination, emotion recognition, and sustained attention. In addition, age-related effects on these cognitive measures were partly mediated by eotaxin. The super-variable "age-eotaxin" predicted a large part of the variance in cognitive functions among healthy participants, and hence, eotaxin may act as an "accelerated brain aging chemokine" (ABAC). In schizophrenia, eotaxin levels had a strong impact on formal thought disorders and psychopathology. In schizophrenia, increased eotaxin strongly impacts memory and sustained attention, which together to a large extent determine FTD. FTD together with memory deficits predicts around 92.5% of the variance in psychopathology. Moreover, the effects of eotaxin are partially mediated by executive functioning, while the effects of male sex on FTD and psychopathology are mediated by eotaxin. In healthy subjects, eotaxin strongly impacts executive functioning and multiple cognitive domains. In schizophrenia, peripheral levels of eotaxin strongly impact both negative symptoms and psychosis (hallucinations and delusions), and these eotaxin effects are mediated by impairments in frontal functioning, memory, sustained attention, and FTD. Eotaxin is an endogenous cognitive deteriorating chemokine (ECDC) and a novel therapeutic target for age-related cognitive decline and schizophrenia as well.
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Affiliation(s)
| | - Buranee Kanchanatawan
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Supaksorn Thika
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - André F Carvalho
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Michael Maes
- Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
- Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria.
- IMPACT Strategic Research Center, Barwon Health, Deakin University, Geelong, VIC, Australia.
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25
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Perlini C, Bellani M, Finos L, Lasalvia A, Bonetto C, Scocco P, D'Agostino A, Torresani S, Imbesi M, Bellini F, Konze A, Veronese A, Ruggeri M, Brambilla P. Non literal language comprehension in a large sample of first episode psychosis patients in adulthood. Psychiatry Res 2018; 260:78-89. [PMID: 29175503 DOI: 10.1016/j.psychres.2017.11.032] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 09/22/2017] [Accepted: 11/08/2017] [Indexed: 01/28/2023]
Abstract
To date no data still exist on the comprehension of figurative language in the early phases of psychosis. The aim of this study is to investigate for the first time the comprehension of metaphors and idioms at the onset of the illness. Two-hundred-twenty eight (228) first episode psychosis (FEP) patients (168 NAP, non-affective psychosis; 60 AP, affective psychosis) and 70 healthy controls (HC) were assessed. Groups were contrasted on: a) type of stimulus (metaphors vs idioms) and b) type of response (OPEN = spontaneous explanations vs CLOSED = multiple choice answer). Moreover, a machine learning (ML) approach was adopted to classifying participants. Both NAP and AP had a poorer performance on OPEN metaphors and idioms compared to HC, with worse results on spontaneous interpretation of idioms than metaphors. No differences were observed between NAP and AP in CLOSED tasks. The ML approach points at CLOSED idioms as the best discriminating variable, more relevant than the set of pre-frontal and IQ scores. Deficits in non-figurative language may represent a core feature of psychosis. The possibility to identify linguistic features discriminating FEP may support the early recognition of patients at risk to develop psychosis, guiding provision of personalized and timely interventions.
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Affiliation(s)
- Cinzia Perlini
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Italy
| | - Marcella Bellani
- UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - Livio Finos
- Department of Developmental Psychology and Socialization, University of Padua, Italy
| | - Antonio Lasalvia
- UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - Chiara Bonetto
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy
| | - Paolo Scocco
- Department of Mental Health, AULSS 6 Euganea, Padua, Italy
| | - Armando D'Agostino
- Department of Health Sciences, San Paolo University Hospital, University of Milan, Milano, Milan, Italy
| | - Stefano Torresani
- Department of Psychiatry, ULSS, Bolzano Suedtiroler Sanitaetbetrieb- Azienda Sanitaria dell'Alto Adige, Bolzano, Italy
| | | | | | - Angela Konze
- SOC Radiology - S.Maria Nuova Hospital, Usl Central Tuscany, Florence, Italy
| | | | - Mirella Ruggeri
- UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy; Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Psychiatric Clinic, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Psychiatry and Behavioural Neurosciences, University of Texas at Houston, TX, USA.
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26
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Kanchanatawan B, Thika S, Sirivichayakul S, Carvalho AF, Geffard M, Maes M. In Schizophrenia, Depression, Anxiety, and Physiosomatic Symptoms Are Strongly Related to Psychotic Symptoms and Excitation, Impairments in Episodic Memory, and Increased Production of Neurotoxic Tryptophan Catabolites: a Multivariate and Machine Learning Study. Neurotox Res 2018; 33:641-655. [PMID: 29380275 DOI: 10.1007/s12640-018-9868-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 01/02/2018] [Accepted: 01/11/2018] [Indexed: 12/30/2022]
Abstract
The depression, anxiety and physiosomatic symptoms (DAPS) of schizophrenia are associated with negative symptoms and changes in tryptophan catabolite (TRYCAT) patterning. The aim of this study is to delineate the associations between DAPS and psychosis, hostility, excitation, and mannerism (PHEM) symptoms, cognitive tests as measured using the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) and IgA/IgM responses to TRYCATs. We included 40 healthy controls and 80 participants with schizophrenia. Depression and anxiety symptoms were measured with The Hamilton Depression (HAM-D) and Anxiety (HAM-A) Rating Scales, respectively. Physiosomatic symptoms were assessed with the Fibromyalgia and Chronic Fatigue Syndrome Rating Scale (FF). Negative symptoms as well as CERAD tests, including Verbal Fluency Test (VFT), Mini-Mental State Examination (MMSE), Word List Memory (WLM), and WL Delayed Recall were measured, while ratios of IgA responses to noxious/protective TRYCATs (IgA NOX_PRO) were computed. Schizophrenia symptoms consisted of two dimensions, a first comprising PHEM and negative symptoms, and a second DAPS symptoms. A large part of the variance in DAPS was explained by psychotic symptoms and WLM. Of the variance in HAM-D, 58.9% was explained by the regression on excitement, IgA NOX_PRO ratio, WLM, and VFT; 29.9% of the variance in HAM-A by psychotic symptoms and IgA NOX/PRO; and 45.5% of the variance in FF score by psychotic symptoms, IgA NOX/PRO, and WLM. Neural network modeling shows that PHEM, IgA NOX_PRO, WLM, and MMSE are the dominant variables predicting DAPS. DAPS appear to be driven by PHEM and negative symptoms coupled with impairments in episodic memory, especially false memory creation, while all symptom dimension and cognitive impairments may be driven by an increased production of noxious TRYCATs, including picolinic, quinolinic, and xanthurenic acid.
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Affiliation(s)
- Buranee Kanchanatawan
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Supaksorn Thika
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | | | - André F Carvalho
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Michel Geffard
- IDRPHT, Research Department, Talence, France
- GEMAC, Saint Jean d'Illac, France
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
- Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria.
- IMPACT Strategic Research Center, Barwon Health, Deakin University, Geelong, VIC, Australia.
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