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Ma L, Mei B, Zhang M, Tao Q, Sun J, Dang J, Lang Y, Wang W, Wei Y, Han S, Cheng J, Zhang Y. Integrative gray matter volume and molecular analyses of altered intrinsic neural timescale in internet gaming disorder. Prog Neuropsychopharmacol Biol Psychiatry 2025; 137:111296. [PMID: 39988256 DOI: 10.1016/j.pnpbp.2025.111296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Revised: 02/02/2025] [Accepted: 02/19/2025] [Indexed: 02/25/2025]
Abstract
BACKGROUND Internet gaming disorder (IGD) frequently features abnormalities in emotional and cognitive processing, for which the specific neurobiological mechanisms are not known. The intrinsic neural timescale (INT) gradient reflects how long neural information is stored in a specialized brain region and represents its function. Therefore, we investigated whether IGD exhibited altered INT and accompanying gray matter volume (GMV) and underlying molecular architectural abnormalities. METHODS Resting-state functional magnetic resonance data from 57 patients with IGD (IGDs) and 50 demographically matched healthy controls (HCs) were collected, and INT was calculated by assessing the autocorrelation of intrinsic neural signals. Voxel-based morphometric analysis was conducted to calculate whole-brain GMV. Then, comparing INT between groups and correlation analysis with clinical characteristics was performed. Furthermore, correlations between INT and PET- and SPECT-driven maps were used to examine specific neurotransmitter system alternations. RESULT Compared to HCs, IGDs exhibited shorter timescales in the bilateral insula, bilateral parahippocampal gyrus, left amygdala, and left superior temporal pole. The decreased INT in the right insula was positively correlated with the severity of internet addiction. Interestingly, the shorter timescales are spatially associated with the serotonergic system. CONCLUSION This study suggests atypical emotional and cognitive processing deficits in localized brain regions of IGDs. And these findings establish a link between abnormal local neurodynamics and structures and neurotransmitters, which facilitates synthesized comprehension of IGDs and provides new perspectives for treatment.
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Affiliation(s)
- Longyao Ma
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China
| | - Bohui Mei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China
| | - Jieping Sun
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China
| | - Yan Lang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, PR China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, PR China; Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, PR China; Henan Engineering Technology Research Center for Detection and Application of Brain Function, PR China; Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, PR China; Henan Key Laboratory of Imaging Intelligence Research, PR China; Henan Engineering Research Center of Brain Function Development and Application, PR China.
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Ricci V, De Berardis D, Martinotti G, Maina G. Glial Derived Neurotrophic Factor and Schizophrenia Spectrum Disorders: A Scoping Review. Curr Neuropharmacol 2025; 23:564-578. [PMID: 39679463 DOI: 10.2174/011570159x340124241205095729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 06/24/2024] [Accepted: 06/28/2024] [Indexed: 12/17/2024] Open
Abstract
BACKGROUND Psychotic disorders, characterized by altered brain function, significantly impair reality perception. The neurodevelopmental hypothesis suggests these disorders originate from early brain development disruptions. Glial-derived neurotrophic factor (GDNF) is crucial for neuronal survival and differentiation, especially in dopaminergic neurons, and shows promise in neurodegenerative and neuropsychiatric conditions. OBJECTIVES This scoping review aims to examine the role of GDNF in schizophrenia spectrum disorders and substance-induced psychoses, integrating knowledge on the neurobiological mechanisms and therapeutic potential of GDNF. METHODS A comprehensive literature search was conducted using PubMed and Scopus databases from January 2001 onwards. Data extraction focused on GDNF levels, cognitive function, antipsychotic treatment effects, and genetic studies. RESULTS The review included 25 studies (18 human, 7 animal). While some studies demonstrated inconsistent results regarding GDNF serum levels in schizophrenic patients, the majority reported correlations between GDNF levels and cognitive functions. Animal studies underscored GDNF's role in stress response, drug-induced neurotoxicity, and dopamine signaling abnormalities. Genetic studies revealed potential associations between GDNF gene polymorphisms and schizophrenia susceptibility, though findings were mixed. DISCUSSION GDNF plays a significant role in cognitive functions and neuroprotection in schizophrenia. The variability in study results underscores the complexity of GDNF's involvement. The therapeutic potential of GDNF in psychotic disorders remains unclear, necessitating further research to clarify its efficacy and safety. CONCLUSION This review emphasizes the importance of integrated biomarker strategies, gene therapy approaches, and precision medicine in advancing the understanding and treatment of psychotic disorders.
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Affiliation(s)
- Valerio Ricci
- Ospedale San Luigi Gonzaga, Università degli Studi di Torino, Italia; Regione Gonzole, 10, Orbassano 10043, Torino, Italia
| | - Domenico De Berardis
- Dipartimento di Salute Mentale, Servizio Psichiatrico di Diagnosi e Cura, Ospedale "Giuseppe Mazzini", Azienda Sanitaria Locale 4, 64100 Teramo, Italia
| | - Giovanni Martinotti
- Dipartimento di Neuroscienze, Imaging e Scienze Cliniche, Università degli Studi Gabriele d'Annunzio Chieti-Pescara, 66100 Chieti, Italia
| | - Giuseppe Maina
- Ospedale San Luigi Gonzaga, Università degli Studi di Torino, Italia; Regione Gonzole, 10, Orbassano 10043, Torino, Italia
- Dipartimento di Neuroscienze "Rita Levi Montalcini", Università degli Studi di Torino, Torino, Italia
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Zhu T, Wang Z, Wu W, Ling Y, Wang Z, Zhou C, Fang X, Huang C, Xie C, Chen J, Zhang X. Altered brain functional networks in schizophrenia with persistent negative symptoms: an activation likelihood estimation meta-analysis. Front Hum Neurosci 2023; 17:1204632. [PMID: 37954938 PMCID: PMC10637389 DOI: 10.3389/fnhum.2023.1204632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 10/10/2023] [Indexed: 11/14/2023] Open
Abstract
Objective To investigate brain structural and functional characteristics of three brain functional networks including default mode network (DMN), central executive network (CEN), and salience network (SN) in persistent negative symptoms (PNS) patients. Methods We performed an activation likelihood estimation (ALE) meta-analysis of functional connectivity (FC) studies and voxel-based morphometry (VBM) studies to detect specific structural and functional alterations of brain networks between PNS patients and healthy controls. Results Seventeen VBM studies and twenty FC studies were included. In the DMN, PNS patients showed decreased gray matter in the bilateral medial frontal gyrus and left anterior cingulate gyrus and a significant reduction of FC in the right precuneus. Also, PNS patients had a decrease of gray matter in the left inferior parietal lobules and medial frontal gyrus, and a significant reduction of FC in the bilateral superior frontal gyrus in the CEN. In comparison with healthy controls, PNS patients exhibited reduced gray matter in the bilateral insula, anterior cingulate gyrus, left precentral gyrus and right claustrum and lower FC in these brain areas in the SN, including the left insula, claustrum, inferior frontal gyrus and extra-nuclear. Conclusion This meta-analysis reveals brain structural and functional imaging alterations in the three networks and the interaction among these networks in PNS patients, which provides neuroscientific evidence for more personalized treatment.Systematic Review RegistrationThe PROSPERO (https://www.crd.york.ac.uk/PROSPERO/, registration number: CRD42022335962).
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Affiliation(s)
- Tingting Zhu
- Department of Psychiatry, The Third People’s Hospital of Huai’an, Huaian, Jiangsu, China
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zengxiu Wang
- Department of Hepatology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Weifeng Wu
- Department of Hepatology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yuru Ling
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zixu Wang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chao Zhou
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyu Fang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chengbing Huang
- Department of Psychiatry, The Third People’s Hospital of Huai’an, Huaian, Jiangsu, China
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chunming Xie
- Department of Neurology, Affiliated Zhongda Hospital, School of Medicine Southeast University, Nanjing, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
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Li X, Hu S, Liu P. Vascular-related biomarkers in psychosis: a systematic review and meta-analysis. Front Psychiatry 2023; 14:1241422. [PMID: 37692299 PMCID: PMC10486913 DOI: 10.3389/fpsyt.2023.1241422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 08/14/2023] [Indexed: 09/12/2023] Open
Abstract
Background While the molecular underpinnings of vascular dysfunction in psychosis are under active investigation, their implications remain unclear due to inconsistent and sometimes sparse observations. We conducted a comprehensive meta-analysis to critically assess the alterations of vascular-related molecules in the cerebrospinal fluid (CSF) and blood of patients with psychotic disorders compared with healthy individuals. Methods Databases were searched from inception to February 23, 2023. Meta-analyses were performed using a random-effects model. Meta-regression and subgroup analyses were conducted to assess the effects of clinical correlates. Results We identified 93 eligible studies with 30 biomarkers investigated in the CSF and/or blood. Among the biomarkers examined, psychotic disorders were associated with elevated CSF-to-serum albumin ratio (standardized mean difference [SMD], 0.69; 95% confidence interval [CI], 0.35-1.02); blood S100B (SMD, 0.88; 95% CI, 0.59-1.17), matrix metalloproteinase-9 (MMP-9; SMD, 0.66; 95% CI, 0.46-0.86), and zonulin (SMD, 1.17; 95% CI, 0.04-2.30). The blood levels of S100B, MMP-9, nerve growth factor (NGF), vascular endothelial growth factor (VEGF), intercellular adhesion molecule 1 (ICAM-1), and vascular adhesion molecule 1 (VCAM-1) were altered in patient subgroups differing in demographic and clinical characteristics. Blood S100B level was positively correlated with age and duration of illness. Substantial between-study heterogeneity was observed in most molecules. Conclusion The alterations in certain vascular-related fluid markers in psychotic disorders suggest disturbances in normal vascular structures and functions. However, not all molecules examined displayed clear evidence of changes. While potential impacts of clinical factors, including the administered treatment, were identified, the exploration remained limited. Further studies are needed to investigate the diverse patterns of expression, and understand how these abnormalities reflect the pathophysiology of psychosis and the impact of clinical factors.
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Affiliation(s)
- Xiaojun Li
- Tsinghua University School of Medicine, Beijing, China
| | - Shuang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Pozi Liu
- Tsinghua University School of Medicine, Beijing, China
- Department of Psychiatry, Beijing Yuquan Hospital, Tsinghua University, Beijing, China
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Keshri N, Nandeesha H. Dysregulation of Synaptic Plasticity Markers in Schizophrenia. Indian J Clin Biochem 2023; 38:4-12. [PMID: 36684500 PMCID: PMC9852406 DOI: 10.1007/s12291-022-01068-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 07/05/2022] [Indexed: 01/25/2023]
Abstract
Schizophrenia is a mental disorder characterized by cognitive impairment resulting in compromised quality of life. Since the regulation of synaptic plasticity has functional implications in various aspects of cognition such as learning, memory, and neural circuit maturation, the dysregulation of synaptic plasticity is considered as a pathobiological feature of schizophrenia. The findings from our recently concluded studies indicate that there is an alteration in levels of synaptic plasticity markers such as neural cell adhesion molecule-1 (NCAM-1), Neurotropin-3 (NT-3) and Matrix-mettaloproteinase-9 (MMP-9) in schizophrenia patients. The objective of the present article is to review the role of markers of synaptic plasticity in schizophrenia. PubMed database (http;//www.ncbi.nlm.nih.gov/pubmed) was used to perform an extensive literature search using the keywords schizophrenia and synaptic plasticity. We conclude that markers of synaptic plasticity are altered in schizophrenia and may lead to complications of schizophrenia including cognitive dysfunction.
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Affiliation(s)
- Neha Keshri
- Department of Biochemistry, JIPMER, Puducherry, 605006 India
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6
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Khan MM, Parikh V. Prospects for Neurotrophic Factor-Based Early Intervention in Schizophrenia: Lessons Learned from the Effects of Antipsychotic Drugs on Cognition, Neurogenesis, and Neurotrophic Factors. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2023; 22:289-303. [PMID: 35366786 DOI: 10.2174/1871527321666220401124151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 02/13/2022] [Accepted: 02/18/2022] [Indexed: 12/16/2022]
Abstract
Although reducing psychotic symptoms in schizophrenia has been a major focus of therapeutic interventions for decades, improving cognition is considered a better predictor of functional outcomes. However, the most commonly prescribed antipsychotic drugs (APDs) show only marginal beneficial effects on cognition in patients with schizophrenia. The neural mechanisms underlying cognitive disturbances in schizophrenia remain unknown that making drug development efforts very challenging. Since neurotrophic factors are the primary architects of neurogenesis, synaptic plasticity, learning, and memory, the findings from preclinical and clinical studies that assess changes in neurogenesis and neurotrophic factors and their relationship to cognitive performance in schizophrenia, and how these mechanisms might be impacted by APD treatment, may provide valuable clues in developing therapies to combat cognitive deficit in schizophrenia. Numerous evidence produced over the years suggests a deficit in a wide spectrum of neurotrophic factors in schizophrenia. Since schizophrenia is considered a neurodevelopmental disorder, early intervention with neurotrophic factors may be more effective in ameliorating the cognitive deficits and psychopathological symptoms associated with this pathology. In this context, results from initial clinical trials with neurotrophic factors and their future potential to improve cognition and psychosocial functioning in schizophrenia are discussed.
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Affiliation(s)
- Mohammad M Khan
- Laboratory of Translational Neurology and Molecular Psychiatry, Department of Biotechnology, Era\'s Lucknow Medical College and Hospital, and Faculty of Science, Era University, Lucknow, UP, India
| | - Vinay Parikh
- Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA, USA
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Huang Z, Kang M, Li G, Xiong P, Chen H, Kang L, Li S, Lu C, Li Q, Bai M. Predictive effect of Bayes discrimination in the level of serum protein factors and cognitive dysfunction in schizophrenia. J Psychiatr Res 2022; 151:539-545. [PMID: 35636029 DOI: 10.1016/j.jpsychires.2022.05.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 03/23/2022] [Accepted: 05/09/2022] [Indexed: 01/19/2023]
Abstract
Finding molecular biomarkers that can be related to the degree of cognitive dysfunction in schizophrenia remains a challenge. The levels of 6 Serum Protein Factors (NGF, BDNF, IL-6, TNF-α, S100β, GFAP) in peripheral blood of patients with schizophrenia were measured. The cognitive function of patients with schizophrenia was assessed by MATRICS Consensus Cognitive Battery (MCCB), a systematic assessment tool of international gold standard for cognitive function assessment of schizophrenia. To explore the correlation between these 6 biomarkers and the degree of cognitive dysfunction in schizophrenia,78 schizophrenic patients and 71 healthy controls were included in the study. The serum concentrations of BDNF and GFAP were lower in the patient group, but the concentrations of IL-6, TNF-α and S100β were higher. The speed of information processing, word learning, reasoning and problem solving, visual learning T-score of the patient group were lower than the control group. Bayes discriminant function model has a high correct discriminant rate for the severity of cognitive dysfunction in schizophrenia. The level of serum protein factor and clinical symptom score of schizophrenia may forecast the degree of cognitive dysfunction, which is expected to be a potential biomarker to identify the degree of cognitive dysfunction of schizophrenia, and provide objective basis for the clinical diagnosis and treatment of patients with schizophrenia.
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Affiliation(s)
- Zhengyuan Huang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, #295 Xichang, Road, Kunming, Yunnan, 650032, China
| | - Minmin Kang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, #295 Xichang, Road, Kunming, Yunnan, 650032, China; Department of Psychiatry, The Affiliated Hospital of Hubei Minzu University, #39 Xueyuan Road, Enshi, Hubei,445000, China
| | - Guangyu Li
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, #295 Xichang, Road, Kunming, Yunnan, 650032, China
| | - Peng Xiong
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, #295 Xichang, Road, Kunming, Yunnan, 650032, China; Yunnan Clinical Research Center for Mental Health, Kunming, Yunnan, 650032, China.
| | - Hongxu Chen
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, #295 Xichang, Road, Kunming, Yunnan, 650032, China
| | - Lin Kang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, #295 Xichang, Road, Kunming, Yunnan, 650032, China
| | - Shan Li
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, #295 Xichang, Road, Kunming, Yunnan, 650032, China
| | - Cailian Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, #295 Xichang, Road, Kunming, Yunnan, 650032, China
| | - Qianqian Li
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, #295 Xichang, Road, Kunming, Yunnan, 650032, China
| | - Meiyan Bai
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, #295 Xichang, Road, Kunming, Yunnan, 650032, China
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Lin P, Sun J, Lou X, Li D, Shi Y, Li Z, Ma P, Li P, Chen S, Jin W, Liu S, Chen Q, Gao Q, Zhu L, Xu J, Zhu M, Wang M, Liang K, Zhao L, Xu H, Dong K, Li Q, Cheng X, Chen J, Guo X. Consensus on potential biomarkers developed for use in clinical tests for schizophrenia. Gen Psychiatr 2022; 35:e100685. [PMID: 35309241 PMCID: PMC8867318 DOI: 10.1136/gpsych-2021-100685] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 01/07/2022] [Indexed: 12/12/2022] Open
Abstract
BackgroundSchizophrenia is a serious mental illness affecting approximately 20 million individuals globally. Both genetic and environmental factors contribute to the illness. If left undiagnosed and untreated, schizophrenia results in impaired social function, repeated hospital admissions, reduced quality of life and decreased life expectancy. Clinical diagnosis largely relies on subjective evidence, including self-reported experiences, and reported behavioural abnormalities followed by psychiatric evaluation. In addition, psychoses may occur along with other conditions, and the symptoms are often episodic and transient, posing a significant challenge to the precision of diagnosis. Therefore, objective, specific tests using biomarkers are urgently needed for differential diagnosis of schizophrenia in clinical practice.AimsWe aimed to provide evidence-based and consensus-based recommendations, with a summary of laboratory measurements that could potentially be used as biomarkers for schizophrenia, and to discuss directions for future research.MethodsWe searched publications within the last 10 years with the following keywords: ‘schizophrenia’, ‘gene’, ‘inflammation’, ‘neurotransmitter’, ‘protein marker’, ‘gut microbiota’, ‘pharmacogenomics’ and ‘biomarker’. A draft of the consensus was discussed and agreed on by all authors at a round table session.ResultsWe summarised the characteristics of candidate diagnostic markers for schizophrenia, including genetic, inflammatory, neurotransmitter, peripheral protein, pharmacogenomic and gut microbiota markers. We also proposed a novel laboratory process for diagnosing schizophrenia in clinical practice based on the evidence summarised in this paper.ConclusionsFurther efforts are needed to identify schizophrenia-specific genetic and epigenetic markers for precise diagnosis, differential diagnosis and ethnicity-specific markers for the Chinese population. The development of novel laboratory techniques is making it possible to use these biomarkers clinically to diagnose disease.
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Affiliation(s)
- Ping Lin
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medical Microbiology and Parasitology, Fudan University School of Basic Medical Sciences, Shanghai, China
| | - Junyu Sun
- Department of Psychosis, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Xiaoyan Lou
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dan Li
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Shi
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenhua Li
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peijun Ma
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Li
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuzi Chen
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weifeng Jin
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuai Liu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qing Chen
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiong Gao
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lili Zhu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Xu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengyuan Zhu
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengxia Wang
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kangyi Liang
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ling Zhao
- Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huabin Xu
- Clinical Laboratory, Affiliated Hospital of West Anhui Health Vocational College, Lu’an, Anhui, China
| | - Ke Dong
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qingtian Li
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xunjia Cheng
- Department of Medical Microbiology and Parasitology, Fudan University School of Basic Medical Sciences, Shanghai, China
| | - Jinghong Chen
- Editorial Office of General Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaokui Guo
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zhu T, Wang Z, Zhou C, Fang X, Huang C, Xie C, Ge H, Yan Z, Zhang X, Chen J. Meta-analysis of structural and functional brain abnormalities in schizophrenia with persistent negative symptoms using activation likelihood estimation. Front Psychiatry 2022; 13:957685. [PMID: 36238945 PMCID: PMC9552970 DOI: 10.3389/fpsyt.2022.957685] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/05/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Persistent negative symptoms (PNS) include both primary and secondary negative symptoms that persist after adequate treatment, and represent an unmet therapeutic need. Published magnetic resonance imaging (MRI) evidence of structural and resting-state functional brain abnormalities in schizophrenia with PNS has been inconsistent. Thus, the purpose of this meta-analysis is to identify abnormalities in structural and functional brain regions in patients with PNS compared to healthy controls. METHODS We systematically searched PubMed, Web of Science, and Embase for structural and functional imaging studies based on five research methods, including voxel-based morphometry (VBM), diffusion tensor imaging (DTI), functional connectivity (FC), the amplitude of low-frequency fluctuation or fractional amplitude of low-frequency fluctuation (ALFF/fALFF), and regional homogeneity (ReHo). Afterward, we conducted a coordinate-based meta-analysis by using the activation likelihood estimation algorithm. RESULTS Twenty-five structural MRI studies and thirty-two functional MRI studies were included in the meta-analyses. Our analysis revealed the presence of structural alterations in patients with PNS in some brain regions including the bilateral insula, medial frontal gyrus, anterior cingulate gyrus, left amygdala, superior temporal gyrus, inferior frontal gyrus, cingulate gyrus and middle temporal gyrus, as well as functional differences in some brain regions including the bilateral precuneus, thalamus, left lentiform nucleus, posterior cingulate gyrus, medial frontal gyrus, and superior frontal gyrus. CONCLUSION Our study suggests that structural brain abnormalities are consistently located in the prefrontal, temporal, limbic and subcortical regions, and functional alterations are concentrated in the thalamo-cortical circuits and the default mode network (DMN). This study provides new insights for targeted treatment and intervention to delay further progression of negative symptoms. SYSTEMATIC REVIEW REGISTRATION [https://www.crd.york.ac.uk/prospero/], identifier [CRD42022338669].
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Affiliation(s)
- Tingting Zhu
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zixu Wang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chao Zhou
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyu Fang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chengbing Huang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Department of Psychiatry, The Third People's Hospital of Huai'an, Huaian, China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine Southeast University, Nanjing, China
| | - Honglin Ge
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zheng Yan
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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10
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Fiore M, Petrella C, Coriale G, Rosso P, Fico E, Ralli M, Greco A, De Vincentiis M, Minni A, Polimeni A, Vitali M, Messina MP, Ferraguti G, Tarani F, de Persis S, Ceccanti M, Tarani L. Markers of Neuroinflammation in the Serum of Prepubertal Children with Fetal Alcohol Spectrum Disorders. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2022; 21:854-868. [PMID: 34852752 DOI: 10.2174/1871527320666211201154839] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 09/27/2021] [Accepted: 10/11/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Fetal Alcohol Spectrum Disorders (FASD) are the manifestation of the damage caused by alcohol consumption during pregnancy. Children with Fetal Alcohol Syndrome (FAS), the extreme FASD manifestation, show both facial dysmorphology and mental retardation. Alcohol consumed during gestational age prejudices brain development by reducing, among others, the synthesis and release of neurotrophic factors and neuroinflammatory markers. Alcohol drinking also induces oxidative stress. HYPOTHESIS/OBJECTIVE The present study aimed to investigate the potential association between neurotrophins, neuroinflammation, and oxidative stress in 12 prepubertal male and female FASD children diagnosed as FAS or partial FAS (pFAS). METHODS Accordingly, we analyzed, in the serum, the level of BDNF and NGF and the oxidative stress, as Free Oxygen Radicals Test (FORT) and Free Oxygen Radicals Defense (FORD). Moreover, serum levels of inflammatory mediators (IL-1α, IL-2, IL-6, IL-10, IL-12, MCP-1, TGF-β, and TNF-α) involved in neuroinflammatory and oxidative processes have been investigated. RESULTS We demonstrated low serum levels of NGF and BDNF in pre-pubertal FASD children with respect to healthy controls. These changes were associated with higher serum presence of TNF- α and IL-1α. Quite interestingly, an elevation in the FORD was also found despite normal FORT levels. Moreover, we found a potentiation of IL-1α, IL-2, IL-10, and IL-1α1 in the analyzed female compared to male children. CONCLUSION The present investigation shows an imbalance in the peripheral neuroimmune pathways that could be used in children as early biomarkers of the deficits observed in FASD.
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Affiliation(s)
- Marco Fiore
- Institute of Biochemistry and Cell Biology, IBBC-CNR, Rome, Italy
| | - Carla Petrella
- Institute of Biochemistry and Cell Biology, IBBC-CNR, Rome, Italy
| | - Giovanna Coriale
- Centro Riferimento Alcologico Regione Lazio, ASL Roma 1, Rome, Italy
| | - Pamela Rosso
- Institute of Biochemistry and Cell Biology, IBBC-CNR, Rome, Italy
| | - Elena Fico
- Institute of Biochemistry and Cell Biology, IBBC-CNR, Rome, Italy
| | - Massimo Ralli
- Department of Sense Organs, Sapienza University of Rome, Italy
| | - Antonio Greco
- Department of Sense Organs, Sapienza University of Rome, Italy
| | | | - Antonio Minni
- Department of Sense Organs, Sapienza University of Rome, Italy
| | - Antonella Polimeni
- Department of Odontostomatological and Maxillofacial Sciences, Sapienza University of Rome, Italy
| | | | | | | | - Francesca Tarani
- Department of Pediatrics, Sapienza University Hospital of Rome, Italy
| | | | - Mauro Ceccanti
- SITAC, Societa' Italiana per il Trattamento dell'Alcolismo, Roma Italy SIFASD, Società Italiana Sindrome Feto-Alcolica, Roma, Italy
| | - Luigi Tarani
- Department of Pediatrics, Sapienza University Hospital of Rome, Italy
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11
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Malashenkova I, Ushakov V, Zakharova N, Krynskiy S, Ogurtsov D, Hailov N, Chekulaeva E, Ratushnyy A, Kartashov S, Kostyuk G, Didkovsky N. Neuro-Immune Aspects of Schizophrenia with Severe Negative Symptoms: New Diagnostic Markers of Disease Phenotype. Sovrem Tekhnologii Med 2021; 13:24-33. [PMID: 35265356 PMCID: PMC8858398 DOI: 10.17691/stm2021.13.6.03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Indexed: 11/30/2022] Open
Abstract
The aim of the study was to analyze the immune-inflammatory profile of patients with paranoid schizophrenia and relate it to the severity of negative symptoms and the MRI data in order to identify biomarkers of schizophrenia severity, search for new approaches to therapy, and control its effectiveness. Materials and Methods The main group included 51 patients with paranoid schizophrenia, the control group - 30 healthy subjects. Patients underwent MRI scans and immunological studies, which included an assessment of natural and adaptive immunity, the systemic level of key pro-inflammatory and anti-inflammatory cytokines, and other markers of inflammation. Results Disorders of immunity and immunoinflammatory profile in patients with paranoid schizophrenia with severe negative symptoms were revealed for the first time: in the presence of severe negative symptoms (>15 points according to the NSA-4 scale), the levels of humoral immunity factors, cytokines IL-10 and IL-12p40 and neurotrophin NGF were increased as well as the markers of systemic inflammation. Morphometric changes in the brain, typical for patients with schizophrenia, and also specific for patients with severe negative symptoms, were determined. The data analysis revealed correlations between the immune changes with structural changes in some of the brain areas, including the frontal cortex and hippocampus. Associations were found between the levels of anti-inflammatory IL-10, IL-12p40 cytokines and morphometric parameters of the brain, specific only for schizophrenic patients with severe negative symptoms. Conclusion The interdisciplinary approach, combining brain morphometry with in-depth immunological and clinical studies, made it possible to determine neurobiological, immune, and neurocognitive markers of paranoid schizophrenia with severe negative symptoms. The results are important for further deciphering the pathogenesis of schizophrenia and its subtypes, as well as for the search for new approaches to the treatment of severe forms of the disease.
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Affiliation(s)
- I.K. Malashenkova
- Head of the Laboratory of Molecular Immunology and Virology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia; Leading Researcher, Laboratory of Clinical Immunology; Federal Research and Clinical Center of Physical-Chemical Medicine
| | - V.L. Ushakov
- Associate Professor, Senior Researcher; National Research Nuclear University MEPhI, 31 Kashirskoe Shosse, Moscow, 115409, Russia; Department Head; Alekseev Psychiatric Clinical Hospital No.1, Moscow Department of Health, 2 Zagorodnoe Shosse, Moscow, 117152, Russia; Leading Researcher, Institute for Advanced Brain Research; Lomonosov Moscow State University, 27/1 Lomonosov Avenue, Moscow, 119192, Russia
| | - N.V. Zakharova
- Head of the Laboratory for Fundamental Research Methods; Alekseev Psychiatric Clinical Hospital No.1, Moscow Department of Health, 2 Zagorodnoe Shosse, Moscow, 117152, Russia
| | - S.A. Krynskiy
- Researcher, Laboratory of Molecular Immunology and Virology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia
| | - D.P. Ogurtsov
- Researcher, Laboratory of Molecular Immunology and Virology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia; Researcher, Laboratory of Clinical Immunology; Federal Research and Clinical Center of Physical-Chemical Medicine
| | - N.A. Hailov
- Senior Researcher, Resource Center for Molecular and Cellular Biology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia
| | - E.I. Chekulaeva
- Junior Researcher, Resource Center for Molecular and Cellular Biology; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia
| | - A.Y. Ratushnyy
- Researcher, Laboratory of Cell Physiology; Russian Federation State Research Center Institute of Biomedical Problems of the Russian Academy of Sciences, 76A Khoroshevskoe Shosse, Moscow, 123007, Russia
| | - S.I. Kartashov
- Laboratory Deputy Head; National Research Center “Kurchatov Institute”, 1 Akademika Kurchatova Square, Moscow, 123182, Russia
| | - G.P. Kostyuk
- Professor, Chief Physician; Alekseev Psychiatric Clinical Hospital No.1, Moscow Department of Health, 2 Zagorodnoe Shosse, Moscow, 117152, Russia
| | - N.A. Didkovsky
- Professor, Head of the Laboratory of Clinical Immunology; Federal Research and Clinical Center of Physical-Chemical Medicine
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12
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Turkmen BA, Yazici E, Erdogan DG, Suda MA, Yazici AB. BDNF, GDNF, NGF and Klotho levels and neurocognitive functions in acute term of schizophrenia. BMC Psychiatry 2021; 21:562. [PMID: 34763683 PMCID: PMC8588660 DOI: 10.1186/s12888-021-03578-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 11/02/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Klotho and its relationship with neurotrophic factors and cognition in schizophrenia has not yet been investigated. In this study, the hypothesis that the blood serum levels of BDNF, GDNF, NGF and Klotho in schizophrenia patients and healthy controls would be related to cognitive functions was investigated. METHODS In this study, two groups were assessed: schizophrenia patients (case group) who were hospitalised in the Psychiatry Clinic of Sakarya University Training and Research Hospital and healthy volunteers (control group). The patients were evaluated on the 1st and 20th days of their hospitalisation with the Positive and Negative Syndrome Scale (PANSS), the Brief Psychiatric Rating Scale (BPRS), the General Assessment of Functioning Scale (GAF) and the Clinical Global Impression Scale (CGI). For cognitive assessment, both groups were evaluated with the Wechsler Memory Scale-Visual Production Subtest (Wechsler Memory Scale III-Visual Reproduction Subtest) and the Stroop test. RESULTS BDNF, GDNF, NGF and Klotho levels were lower in schizophrenia patients than in healthy controls. In the schizophrenia patients, on the 20th day of treatment, there was a statistically significant increase in BDNF compared to the 1st day of treatment. BDNF, GDNF and Klotho showed positive correlations with some cognitive functions in the healthy controls. BDNF, GDNF, NGF and Klotho levels were intercorrelated and predictive of each other in both groups. CONCLUSION This study suggests a relationship between cognitive functions, neurotrophic factors and Klotho. Most of the results are the first of their kind in the extant literature, while other results are either similar to or divergent from those generated in previous studies. Therefore, new, enhanced studies are needed to clarify the role of Klotho and neurotrophic factors in schizophrenia.
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Affiliation(s)
- Betul Aslan Turkmen
- grid.459902.30000 0004 0386 5536Department of Psychiatry, Sakarya Training and Research Hospital, Sakarya, Turkey
| | - Esra Yazici
- Department of Psychiatry, Sakarya University, Medical Faculty, Sakarya, Turkey.
| | - Derya Guzel Erdogan
- grid.49746.380000 0001 0682 3030Department of Physiology, Sakarya University, Medical Faculty, Sakarya, Turkey
| | - Mehmet Akif Suda
- grid.459902.30000 0004 0386 5536Department of Psychiatry, Sakarya Training and Research Hospital, Sakarya, Turkey
| | - Ahmet Bulent Yazici
- grid.49746.380000 0001 0682 3030Department of Psychiatry, Sakarya University, Medical Faculty, Sakarya, Turkey
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13
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Ahmed AO, Kramer S, Hofman N, Flynn J, Hansen M, Martin V, Pillai A, Buckley PF. A Meta-Analysis of Brain-Derived Neurotrophic Factor Effects on Brain Volume in Schizophrenia: Genotype and Serum Levels. Neuropsychobiology 2021; 80:411-424. [PMID: 33706323 PMCID: PMC8619762 DOI: 10.1159/000514126] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/29/2020] [Indexed: 11/19/2022]
Abstract
AIM The Val66Met single-nucleotide polymorphism (SNP) on the BDNF gene has established pleiotropic effects on schizophrenia incidence and morphologic alterations in the illness. The effects of brain-derived neurotrophic factor (BDNF) on brain volume measurements are however mixed seeming to be less established for most brain regions. The current meta-analytic review examined (1) the association of the Val66Met SNP and brain volume alterations in schizophrenia by comparing Met allele carriers to Val/Val homozygotes and (2) the association of serum BDNF with brain volume measurements. METHOD Studies included in the meta-analyses were identified through an electronic search of PubMed and PsycInfo (via EBSCO) for English language publications from January 2000 through December 2017. Included studies had conducted a genotyping procedure of Val66Met or obtained assays of serum BDNF and obtained brain volume data in patients with psychotic disorders. Nonhuman studies were excluded. RESULTS Study 1 which included 52 comparisons of Met carriers and Val/Val homozygotes found evidence of lower right and left hippocampal volumes among Met allele carriers with schizophrenia. Frontal measurements, while also lower among Met carriers, did not achieve statistical significance. Study 2 which included 7 examinations of the correlation between serum BDNF and brain volume found significant associations between serum BDNF levels and right and left hippocampal volume with lower BDNF corresponding to lower volumes. DISCUSSION The meta-analyses provided evidence of associations between brain volume alterations in schizophrenia and variations on the Val66Met SNP and serum BDNF. Given the limited number of studies, it remains unclear if BDNF effects are global or regionally specific.
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Affiliation(s)
- Anthony O. Ahmed
- Department of Psychiatry, Weill Cornell Medicine, White Plains, New York, USA,*Anthony O. Ahmed, Department of Psychiatry, Weill Cornell Medicine, 21 Bloomingdale Road, White Plains, NY 10605 (USA),
| | - Samantha Kramer
- Department of Psychology, Long Island University Post, New York, New York, USA
| | - Naama Hofman
- Department of Psychology, St. John's University, New York, New York, USA
| | - John Flynn
- Department of Psychology, Long Island University Brooklyn, New York, New York, USA
| | - Marie Hansen
- Department of Psychology, Long Island University Brooklyn, New York, New York, USA
| | - Victoria Martin
- Department of Psychology, City University of New York, New York, New York, USA
| | - Anilkumar Pillai
- Department of Psychiatry and Health Behavior, Augusta University, Augusta, Georgia, USA
| | - Peter F. Buckley
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia, USA
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14
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Tıkır B, Asan Ö, Uzdoğan A, Yalçın Şahiner Ş, Göka E. Association of Glial Cell-Line Derived Neurotrophic Factor and Nerve Growth Factor with Duration of Untreated Psychosis and Clinical Symptoms in Drug-Naive Schizophrenia. PSYCHIAT CLIN PSYCH 2021; 31:252-260. [PMID: 38765938 PMCID: PMC11079653 DOI: 10.5152/pcp.2021.21715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 07/07/2021] [Indexed: 05/22/2024] Open
Abstract
Background The neurodevelopmental hypothesis is one of the most-emphasized hypotheses in the etiology of schizophrenia. Nerve growth factor (NGF) and glial cell-line derived neurotropic factor (GDNF) are neurotrophic factors that provide growth, differentiation, and survival in nerve cells in the development process. In this study, we aimed to compare the GDNF and NGF levels of schizophrenia patients with healthy controls and to analyze the relationship between the Positive and Negative Syndrome Scale (PANSS) scores, serum GDNF and NGF levels and the duration of untreated psychosis (DUP) of the patients. Methods The study involved 45 patients with a diagnosis of schizophrenia, who had never used any antipsychotic drug, and 45 age- and sex-matched healthy participants. The participants filled a sociodemographic data form. The PANSS was applied to evaluate the clinical conditions. Before the initiation of the treatment, serum samples were collected from the patients. Results The difference between the GDNF and NGF levels of the patient group and control group was statistically significant. The serum GDNF and NGF levels in schizophrenia patients were lower than healthy controls. No correlation was found between the DUP and serum GDNF and NGF levels. There was a positive correlation between general psychopathology and negative scores of PANSS and the DUP of patients. Conclusion GDNF and NGF levels seem to be indicators of schizophrenia and its progress; nevertheless, we still do not have sufficient information about these neurotrophic factors. The results of our study indicate that the neurodevelopmental changes occurring at the early stages of the illness prominently affect the progress of disease, highlighting the importance of treatment in the early stages of disease.
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Affiliation(s)
| | - Ömer Asan
- Psychiatry - private, Ankara, Turkey
| | - Andaç Uzdoğan
- Department of Psychiatry, Sakarya University Training and Research Hospital, Sakarya, Turkey
| | | | - Erol Göka
- Department of Psychiatry, Kütahya Health Sciences University, Kütahya, Turkey
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15
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Ceci FM, Ferraguti G, Petrella C, Greco A, Tirassa P, Iannitelli A, Ralli M, Vitali M, Ceccanti M, Chaldakov GN, Versacci P, Fiore M. Nerve Growth Factor, Stress and Diseases. Curr Med Chem 2021; 28:2943-2959. [PMID: 32811396 DOI: 10.2174/0929867327999200818111654] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 07/03/2020] [Accepted: 07/06/2020] [Indexed: 11/22/2022]
Abstract
Stress is a constant threat for homeostasis and is represented by different extrinsic and intrinsic stimuli (stressors, Hans Selye's "noxious agents"), such as aggressive behavior, fear, diseases, physical activity, drugs, surgical injury, and environmental and physiological changes. Our organisms respond to stress by activating the adaptive stress system to activate compensatory responses for restoring homeostasis. Nerve Growth Factor (NGF) was discovered as a signaling molecule involved in survival, protection, differentiation, and proliferation of sympathetic and peripheral sensory neurons. NGF mediates stress with an important role in translating environmental stimuli into physiological and pathological feedbacks since NGF levels undergo important variations after exposure to stressful events. Psychological stress, lifestyle stress, and oxidative stress are well known to increase the risk of mental disorders such as schizophrenia, major depressive disorders, bipolar disorder, alcohol use disorders and metabolic disorders such as metabolic syndrome. This review reports recent works describing the activity of NGF in mental and metabolic disorders related to stress.
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Affiliation(s)
- Flavio Maria Ceci
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Giampiero Ferraguti
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Carla Petrella
- Institute of Biochemistry and Cell Biology, IBBC-CNR, Rome, Italy
| | - Antonio Greco
- Department of Sense Organs, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy
| | - Paola Tirassa
- Institute of Biochemistry and Cell Biology, IBBC-CNR, Rome, Italy
| | - Angela Iannitelli
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, Rome, Italy
| | - Massimo Ralli
- Department of Sense Organs, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy
| | | | - Mauro Ceccanti
- Centro Riferimento Alcologico Regione Lazio, ASL Roma 1, Rome, Italy
| | - George N Chaldakov
- Department of Anatomy and Cell Biology, Medical University, and Institute for Advanced Study, Varna, Bulgaria
| | - Paolo Versacci
- Department of Pediatrics, Sapienza University Hospital of Rome, Rome, Italy
| | - Marco Fiore
- Institute of Biochemistry and Cell Biology, IBBC-CNR, Rome, Italy
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16
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Sahay A, Kale A, Joshi S. Role of neurotrophins in pregnancy and offspring brain development. Neuropeptides 2020; 83:102075. [PMID: 32778339 DOI: 10.1016/j.npep.2020.102075] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 07/20/2020] [Accepted: 07/28/2020] [Indexed: 02/06/2023]
Abstract
Neurotrophins are a family of functionally and structurally related proteins which play a key role in the survival, development, and function of neurons in both the central and peripheral nervous systems. Brain-derived neurotrophic factor (BDNF), nerve growth factor (NGF), neurotrophin-3 (NT-3), and neurotrophin-4 (NT-4) are the family members of neurotrophins. Neurotrophins play a crucial role in influencing the development of the brain and learning and memory processes. Studies demonstrate that they also play crucial role in influencing reproductive and immune systems. Neurotrophins have been shown to influence various processes in the mother, placenta, and fetus during pregnancy. Development and maturation of feto-placental unit and the fetal growth trajectories are influenced by neurotrophins. In addition to neurotrophins, neuropeptides like neuropeptide Y also play a crucial role during various processes of pregnancy and during fetal brain development. Neurotrophins have also been shown to have a cross talk with various angiogenic factors and influence placental development. Alterations in the levels of neurotrophins and neuropeptides lead to placental pathologies resulting in various pregnancy complications like preeclampsia, intrauterine growth restriction and preterm births. Studies in animals have reported low levels of maternal micronutrients like folic acid, vitamin B12 and omega-3 fatty acids influence brain neurotrophins resulting in impaired cognitive functioning in the offspring. Maternal nutrition is also known to affect the expression of neuropeptides. It is essential to understand the role of various neurotrophins across various stages of pregnancy and its relationship with neurodevelopmental outcomes in children. This will lead to early prediction of poor neurodevelopmental outcomes. The present review describes evidence describing the role of neurotrophins in determining pregnancy outcome and altered neurodevelopment in the offspring. The possible mechanism through which maternal nutrition influences neurotrophins and neuropeptides to regulate offspring brain development and function is also discussed.
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Affiliation(s)
- Akriti Sahay
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Anvita Kale
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Sadhana Joshi
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth (Deemed to be University), Pune, India.
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17
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Liu Y, Huang L, Tong Y, Chen J, Gao D, Yang F. Association of retinal nerve fiber abnormalities with serum CNTF and cognitive functions in schizophrenia patients. PeerJ 2020; 8:e9279. [PMID: 32676219 PMCID: PMC7335503 DOI: 10.7717/peerj.9279] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 05/12/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Recent studies have reported reductions in retinal nerve fiber layers (RNFL) in schizophrenia. Ciliary neurotrophic factor (CNTF) has shown protective effects on both the neurogenesis and retina. This study aimed at investigating retinal abnormalities and establishing their correlation with serum CNTF and cognitive impairments in schizophrenic Chinese patients. METHODS In total, 221 patients diagnosed with schizophrenia and 149 healthy controls were enrolled. Serum CNTF and clinical features of patients were investigated. Cognitive functions were evaluated with Repeatable Battery for the Assessment of Neuropsychology Status (RBANS). RNFL thickness and macular thickness (MT) of both eyes were measured with optical coherence tomography (OCT). T-tests and analysis of covariance were used to compare the variables between the patient and control groups, while multiple linear regression analysis was performed to determine the associations of RNFL thickness, CNTF and cognitive impairments. RESULTS RNFL was found thinner in patients than in healthy controls (right: 88.18 ± 25.84 µm vs.102.13 ± 14.32 µm, p = 0.001; left: 92.84 ± 13.54 µm vs.103.71 ± 11.94 µm, p < 0.001). CNTF was lower in the schizophrenia group (1755.45 ± 375.73 pg/ml vs. 1909.99 ± 368.08 pg/ml, p = 0.001). Decline in RNFL thickness was found correlated with course of illness and serum CNTF in patients (all p < 0.05). Similarly, cognitive functions such as immediate memory and visuospatial functions were also found correlated with decline in RNFL thickness. CONCLUSION Decline in RNFL thickness was associated with cognitive impairments of schizophrenia and CNFT serum concentration. The possibility of reduction in RNFL thickness as a biomarker for schizophrenia needs to be further examined.
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Affiliation(s)
- Yanhong Liu
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Peking University, Beijing, China
| | - Lvzhen Huang
- People's Hospital of Peking University, Peking University, Beijing, China
| | - Yongsheng Tong
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Peking University, Beijing, China
| | - Jingxu Chen
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Peking University, Beijing, China
| | - Dongfang Gao
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Peking University, Beijing, China
| | - Fude Yang
- Peking University Huilongguan Clinical Medical School, Beijing Huilongguan Hospital, Peking University, Beijing, China
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Hammans C, Neugebauer K, Kumar V, Mevissen L, Sternkopf MA, Novakovic A, Wensing T, Habel U, Abel T, Nickl-Jockschat T. BDNF Serum Levels are Associated With White Matter Microstructure in Schizophrenia - A Pilot Study. Front Psychiatry 2020; 11:31. [PMID: 32153434 PMCID: PMC7046752 DOI: 10.3389/fpsyt.2020.00031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 01/10/2020] [Indexed: 11/21/2022] Open
Abstract
Brain derived neurotrophic factor (BDNF) has been implicated in the pathophysiology of schizophrenia. As BDNF regulates axonal and dendritic growth, altered BDNF levels in schizophrenia patients might underlie changes in structural connectivity that have been identified by magnetic resonance imaging (MRI). We investigated a possible correlation between BDNF serum levels, fiber tract architecture, and regional grey matter volumes in 19 schizophrenia patients and a gender- and age-matched control group. Two patients had to be excluded due to abnormalities in their MRI scans. Serum samples were obtained to determine BDNF levels, and T1- as well as diffusion-weighted sequences were acquired. We, then, investigated correlations between BDNF serum levels with neuroimaging parameters, using Voxel-based Morphometry (VBM) and Tract-based Spatial Statistics (TBSS). We found a significant negative correlation between BDNF serum levels and FA values in the right inferior fronto-occipital fasciculus and the right superior longitudinal fasciculus. These regions also showed a decrease in AD values in schizophrenia patients. Grey matter volumes were reduced in patients but there was no correlation between regional grey matter volumes and BDNF. The right superior longitudinal fasciculus has been repeatedly identified to exhibit microstructural changes in schizophrenia patients. Our findings of a negative correlation between BDNF and FA values in patients might indicate that BDNF is upregulated to compensate decreased structural connectivity as it induces neural plasticity and shows increased levels in damaged tissue. These findings of our pilot study are encouraging leads for future research in larger samples.
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Affiliation(s)
- Christine Hammans
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Kristina Neugebauer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Vinod Kumar
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany.,Department of High-field Magnetic Resonance, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany
| | - Lea Mevissen
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Melanie A Sternkopf
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Ana Novakovic
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Tobias Wensing
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Ted Abel
- Carver College of Medicine, Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, United States
| | - Thomas Nickl-Jockschat
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,JARA - Translational Brain Medicine, Jülich-Aachen Research Alliance, Jülich, Germany.,Carver College of Medicine, Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, United States.,Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, United States
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