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Sun Y, Bo Q, Mao Z, Tian Q, Dong F, Li L, Wang C. Different levels of prepulse inhibition among patients with first-episode schizophrenia, bipolar disorder and major depressive disorder. J Psychiatry Neurosci 2024; 49:E1-E10. [PMID: 38238035 PMCID: PMC10803101 DOI: 10.1503/jpn.230083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/10/2023] [Accepted: 09/27/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND Deficits in prepulse inhibition may be a common feature in first-episode schizophrenia, bipolar disorder (BD) and major depressive disorder (MDD). We sought to explore the levels and viability of prepulse inhibition to differentiate first-episode schizophrenia, BD and MDD in patient populations. METHODS We tested patients with first-episode schizophrenia, BD or MDD and healthy controls using prepulse inhibition paradigms, namely perceived spatial co-location (PSC-PPI) and perceived spatial separation (PSS-PPI). RESULTS We included 53 patients with first-episode schizophrenia, 30 with BD and 25 with MDD, as well as 82 healthy controls. The PSS-PPI indicated that the levels of prepulse inhibition were smallest to largest, respectively, in the first-episode schizophrenia, BD, MDD and control groups. Relative to the healthy controls, the prepulse inhibition deficits in the first-episode schizophrenia group were significant (p < 0.001), but the prepulse inhibitions were similar between patients with BD and healthy controls, and between patients with MDD and healthy controls. The receiver operating characteristic curve analysis showed that PSS-PPI (area under the curve [AUC] 0.73, p < 0.001) and latency (AUC 0.72, p < 0.001) were significant for differentiating patients with first-episode schizophrenia or BD from healthy controls. LIMITATIONS The demographics of the 4 groups were not ideally matched. We did not perform cognitive assessments. The possible confounding effect of medications on prepulse inhibition could not be eliminated. CONCLUSION The level of prepulse inhibition among patients with first-episode schizophrenia was the lowest, with levels among patients with BD, patients with MDD and healthy controls increasingly higher. The PSS-PPI paradigm was more effective than PSC-PPI to recognize deficits in prepulse inhibition. These results provide a basis for further research on biological indicators that can assist differential diagnoses in psychosis.
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Affiliation(s)
- Yue Sun
- From the National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China (Li)
| | - Qijing Bo
- From the National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China (Li)
| | - Zhen Mao
- From the National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China (Li)
| | - Qing Tian
- From the National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China (Li)
| | - Fang Dong
- From the National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China (Li)
| | - Liang Li
- From the National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China (Li)
| | - Chuanyue Wang
- From the National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the Advanced Innovation Center for Human Brain Protection, Capital Medical University (Sun, Bo, Mao, Tian, Dong, Wang); the School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China (Li)
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Huang L, Mut-Arbona P, Varga B, Török B, Brunner J, Arszovszki A, Iring A, Kisfali M, Vizi ES, Sperlágh B. P2X7 purinergic receptor modulates dentate gyrus excitatory neurotransmission and alleviates schizophrenia-like symptoms in mouse. iScience 2023; 26:107560. [PMID: 37649698 PMCID: PMC10462828 DOI: 10.1016/j.isci.2023.107560] [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: 06/01/2023] [Revised: 07/11/2023] [Accepted: 08/02/2023] [Indexed: 09/01/2023] Open
Abstract
ATP-gated P2X7 receptors (P2X7Rs) play a crucial role in brain disorders. However, how they affect normal and pathological synaptic transmission is still largely unclear. Here, by using whole-cell patch-clamp technique to record AMPA- and NMDA receptor-mediated excitatory postsynaptic currents (s/mEPSCs) in dentate gyrus granule cells (DG GCs), we revealed a modulation by P2X7Rs of presynaptic sites, especially originated from entorhinal cortex (EC)-GC path but not the mossy cell (MC)-GC path. The involvement of P2X7Rs was confirmed using a pharmacological approach. Additionally, the acute activation of P2X7Rs directly elevated calcium influx from EC-GC terminals. In postnatal phencyclidine (PCP)-induced mouse model of schizophrenia, we observed that P2X7R deficiency restored the EC-GC synapse alteration and alleviated PCP-induced symptoms. To summarize, P2X7Rs participate in the modulation of GC excitatory neurotransmission in the DG via EC-GC pathway, contributing to pathological alterations of neuronal functions leading to neurodevelopmental disorders.
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Affiliation(s)
- Lumei Huang
- Laboratory of Molecular Pharmacology, Institute of Experimental Medicine, 1083 Budapest, Hungary
- János Szentágothai Doctoral School, Semmelweis University, 1085 Budapest, Hungary
| | - Paula Mut-Arbona
- Laboratory of Molecular Pharmacology, Institute of Experimental Medicine, 1083 Budapest, Hungary
- János Szentágothai Doctoral School, Semmelweis University, 1085 Budapest, Hungary
| | - Bernadett Varga
- Laboratory of Molecular Pharmacology, Institute of Experimental Medicine, 1083 Budapest, Hungary
- János Szentágothai Doctoral School, Semmelweis University, 1085 Budapest, Hungary
| | - Bibiana Török
- Laboratory of Molecular Pharmacology, Institute of Experimental Medicine, 1083 Budapest, Hungary
| | - János Brunner
- Laboratory of Cellular Neuropharmacology, Institute of Experimental Medicine, 1083 Budapest, Hungary
| | - Antonia Arszovszki
- Laboratory of Cellular Neuropharmacology, Institute of Experimental Medicine, 1083 Budapest, Hungary
| | - András Iring
- Laboratory of Molecular Pharmacology, Institute of Experimental Medicine, 1083 Budapest, Hungary
| | - Máté Kisfali
- Laboratory of Molecular Neurobiology, Institute of Experimental Medicine, 1083 Budapest, Hungary
| | - E. Sylvester Vizi
- Laboratory of Molecular Pharmacology, Institute of Experimental Medicine, 1083 Budapest, Hungary
- János Szentágothai Doctoral School, Semmelweis University, 1085 Budapest, Hungary
| | - Beáta Sperlágh
- Laboratory of Molecular Pharmacology, Institute of Experimental Medicine, 1083 Budapest, Hungary
- János Szentágothai Doctoral School, Semmelweis University, 1085 Budapest, Hungary
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Ding Y, Tian Q, Hou W, Chen Z, Mao Z, Bo Q, Dong F, Wang C. Core of sensory gating deficits in first-episode schizophrenia: attention dysfunction. Front Psychiatry 2023; 14:1160715. [PMID: 37181885 PMCID: PMC10169682 DOI: 10.3389/fpsyt.2023.1160715] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/05/2023] [Indexed: 05/16/2023] Open
Abstract
Background Sensory gating deficits are a common feature of schizophrenia and may be indicative of higher-order psychopathological impairments. It has been proposed that incorporating subjective attention components into prepulse inhibition (PPI) measures may improve the accuracy of assessing these deficits. This study aimed to investigate the relationship between modified PPI and cognitive function, with a specific focus on subjective attention, to gain a better understanding of the underlying mechanisms of sensory processing deficits in schizophrenia. Methods Fifty-four unmedicated first-episode schizophrenia (UMFE) patients and 53 healthy controls participated in this study. The modified Prepulse Inhibition paradigm, including Perceived Spatial Separation PPI (PSSPPI) and Perceived Spatial Colocation PPI (PSCPPI), was used to evaluate sensorimotor gating deficits. Cognitive function was assessed in all participants using the Chinese version of the MATRICS Consensus Cognitive Suite Test (MCCB). Results UMFE patients had lower MCCB scores and deficient PSSPPI scores than healthy controls. PSSPPI was negatively correlated with total PANSS scores and positively correlated with the speed of processing, attention/ vigilance, and social cognition. Multiple linear regression analysis showed that the PSSPPI at 60 ms had a significant effect on attentional/ vigilance and social cognition, even after controlling for gender, age, years of education, and smoking. Conclusion The study revealed notable impairments in sensory gating and cognitive function in UMFE patients, best reflected by the PSSPPI measure. Specifically, PSSPPI at 60 ms was significantly associated with both clinical symptoms and cognitive performance, suggesting that PSSPPI at 60 ms may capture psychopathological symptoms related to psychosis.
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Affiliation(s)
- Yushen Ding
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qing Tian
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, The Institute of Mental Health, Suzhou, China
| | - Wenpeng Hou
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhenzhu Chen
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhen Mao
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qijing Bo
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Fang Dong
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chuanyue Wang
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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Test-retest reliability of prepulse inhibition (PPI) and PPI correlation with working memory. Acta Neuropsychiatr 2022; 34:344-353. [PMID: 35959694 DOI: 10.1017/neu.2022.19] [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] [Indexed: 11/07/2022]
Abstract
OBJECTIVE Sensorimotor gating is experimentally operationalized by the prepulse inhibition (PPI) of the startle response (SR). Previous studies suggest high test-retest reliability of PPI and potential correlation with working memory (WM). Here, we aimed to validate and extend the test-retest reliability of PPI in healthy humans and its correlation with WM performance. METHODS We applied an acoustic startle PPI paradigm with four different prepulse intensities (64, 68, 72 and 76 dB) and two different WM tasks [n-back, change detection task (CDT)] in a group of 26 healthy adults (final sample size n = 23). To assess test-retest reliability, we performed all tests on two separate days ~27 days (range: 21-32 days) apart. RESULTS We were able to confirm high test-retest reliability of the PPI with a mean intraclass correlation (ICC) of > 0.80 and significant positive correlation of PPI with n-back but not with CDT performance. Detailed analysis showed that PPI across all prepulse intensities significantly correlated with both the 2-back and 0-back conditions, suggesting regulation by cross-conditional processes (e.g. attention). However, when removing the 0-back component from the 2-back data, we found a specific and significant correlation with WM for the 76-dB PPI condition. CONCLUSION With the present study, we were able to confirm the high test-retest reliability of the PPI in humans and could validate and expand on its correlation with WM performance.
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Tian Q, Yang NB, Fan Y, Dong F, Bo QJ, Zhou FC, Zhang JC, Li L, Yin GZ, Wang CY, Fan M. Detection of Schizophrenia Cases From Healthy Controls With Combination of Neurocognitive and Electrophysiological Features. Front Psychiatry 2022; 13:810362. [PMID: 35449564 PMCID: PMC9016153 DOI: 10.3389/fpsyt.2022.810362] [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: 11/06/2021] [Accepted: 02/21/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND The search for a method that utilizes biomarkers to identify patients with schizophrenia from healthy individuals has occupied researchers for decades. However, no single indicator can be employed to achieve the good in clinical practice. We aim to develop a comprehensive machine learning pipeline based on neurocognitive and electrophysiological combined features for distinguishing schizophrenia patients from healthy people. METHODS In the present study, 69 patients with schizophrenia and 50 healthy controls participated. Neurocognitive (contains seven specific domains of cognition) and electrophysiological [prepulse inhibition, electroencephalography (EEG) power spectrum, detrended fluctuation analysis, and fractal dimension (FD)] features were collected, all these features were taken together to generate the identification models of schizophrenia by applying logistics, random forest, and extreme gradient boosting algorithm. The classification capabilities of these models were also evaluated. RESULTS Both the neurocognitive and electrophysiological feature sets showed a good classification effect with the highest accuracy greater than 85% and AUC greater than 90%. Specifically, the performances of the combined neurocognitive and electrophysiological feature sets achieved the highest accuracy of 93.28% and AUC of 97.91%. The extreme gradient boosting algorithm as a whole presented more stably and precisely in classification efficiency. CONCLUSION The highest classification accuracy of 93.28% by combination of neurocognitive and electrophysiological features shows that both measurements are appropriate indicators to be used in discriminating schizophrenia patients and healthy individuals. Also, among three algorithms, extreme gradient boosting had better classified performances than logistics and random forest algorithms.
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Affiliation(s)
- Qing Tian
- Laboratory of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Beijing Institute of Brain Disorders, Capital Medical University, Ministry of Science and Technology, Beijing, China.,Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, The Institute of Mental Health, Suzhou, China.,Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing Institute for Brain Disorders Center of Schizophrenia, Capital Medical University, Beijing, China
| | - Ning-Bo Yang
- Department of Psychiatry, First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Yu Fan
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, The Institute of Mental Health, Suzhou, China.,Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing Institute for Brain Disorders Center of Schizophrenia, Capital Medical University, Beijing, China
| | - Fang Dong
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing Institute for Brain Disorders Center of Schizophrenia, Capital Medical University, Beijing, China
| | - Qi-Jing Bo
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing Institute for Brain Disorders Center of Schizophrenia, Capital Medical University, Beijing, China
| | - Fu-Chun Zhou
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing Institute for Brain Disorders Center of Schizophrenia, Capital Medical University, Beijing, China
| | - Ji-Cong Zhang
- Beijing Advanced Innovation Centre for Biomedical Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, The School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Liang Li
- Department of Psychology, Peking University, Beijing, China
| | - Guang-Zhong Yin
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, The Institute of Mental Health, Suzhou, China
| | - Chuan-Yue Wang
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Beijing Institute for Brain Disorders Center of Schizophrenia, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ming Fan
- Laboratory of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Beijing Institute of Brain Disorders, Capital Medical University, Ministry of Science and Technology, Beijing, China.,Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing, China
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6
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Effects of prepulse format and lead interval on the assessment of automatic and attention-modulated prepulse inhibition. Cogn Process 2021; 22:559-567. [PMID: 33772712 DOI: 10.1007/s10339-021-01023-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 02/25/2021] [Indexed: 10/21/2022]
Abstract
Prepulse inhibition (PPI) of the acoustic startle response can index automatic and attention-modulated aspects of sensorimotor gating. Automatic sensorimotor gating is typically assessed by a no-task PPI protocol in which participants are presented with discrete white noise prepulse and startle stimuli over continuous background broadband noise at brief short-lead intervals (e.g., 60-120 ms). In contrast, attention-modulated sensorimotor gating is typically assessed through a task-based PPI protocol using continuous format pure tone prepulses and white noise startle stimuli presented over an ambient background at a lead interval of 120 ms. The present study sought to test the extent that the assessment of attention-modulated PPI is dependent on prepulse type and lead interval across two experiments. Experiment 1 assessed attention effects on PPI produced by discrete prepulses at lead intervals of 60 and 120 ms. Experiment 2 examined attention effects on PPI with matched stimulus conditions apart from continuous prepulses. Results indicated that the use of discrete prepulses failed to elicit attentional-modulation of PPI and that assessment therein was dependent on the use of continuous prepulses at a lead interval of 120 ms. These results highlight additional methods to concurrently assess automatic and attention-modulated PPI in a single testing session using a task-based tone counting task.
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Shelton HW, Gabbita SP, Gill WD, Burgess KC, Whicker WS, Brown RW. The effects of a novel inhibitor of tumor necrosis factor (TNF) alpha on prepulse inhibition and microglial activation in two distinct rodent models of schizophrenia. Behav Brain Res 2021; 406:113229. [PMID: 33684425 DOI: 10.1016/j.bbr.2021.113229] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/14/2021] [Accepted: 03/02/2021] [Indexed: 12/17/2022]
Abstract
Increased neuroinflammation has been shown in individuals diagnosed with schizophrenia (SCHZ). This study evaluated a novel immune modulator (PD2024) that targets the pro-inflammatory cytokine tumor necrosis factor-alpha (TNFα) to alleviate sensorimotor gating deficits and microglial activation employing two different rodent models of SCHZ. In Experiment 1, rats were neonatally treated with saline or the dopamine D2-like agonist quinpirole (NQ; 1 mg/kg) from postnatal day (P) 1-21 which produces increases of dopamine D2 receptor sensitivity throughout the animal's lifetime. In Experiment 2, rats were neonatally treated with saline or the immune system stimulant polyinosinic:polycytidylic acid (Poly I:C) from P5-7. Neonatal Poly I:C treatment mimics immune system activation associated with SCHZ. In both experiments, rats were raised to P30 and administered a control diet or a novel TNFα inhibitor PD2024 (10 mg/kg) in the diet from P30 until P67. At P45-46 and from P60-67, animals were behaviorally tested on auditory sensorimotor gating as measured through prepulse inhibition (PPI). NQ or Poly I:C treatment resulted in PPI deficits, and PD2024 treatment alleviated PPI deficits in both models. Results also revealed that increased hippocampal and prefrontal cortex microglial activation produced by neonatal Poly I:C was significantly reduced to control levels by PD2024. In addition, a separate group of animals neonatally treated with saline or Poly I:C from P5-7 demonstrated increased TNFα protein levels in the hippocampus but not prefrontal cortex, verifying increased TNFα in the brain produced by Poly I:C. Results from this study suggests that that brain TNFα is a viable pharmacological target to treat the neuroinflammation known to be associated with SCHZ.
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Affiliation(s)
- Heath W Shelton
- Department of Biomedical Sciences, James H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, 37614, United States
| | | | - W Drew Gill
- Department of Biomedical Sciences, James H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, 37614, United States
| | - Katherine C Burgess
- Department of Biomedical Sciences, James H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, 37614, United States
| | - Wyatt S Whicker
- Department of Biomedical Sciences, James H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, 37614, United States
| | - Russell W Brown
- Department of Biomedical Sciences, James H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN, 37614, United States.
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Zhukov DA, Vinogradova EP. Trace Amines and Behavior. NEUROCHEM J+ 2020. [DOI: 10.1134/s1819712420040108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Jahan MS, Ito T, Ichihashi S, Masuda T, Bhuiyan MER, Takahashi I, Takamatsu H, Kumanogoh A, Tsuzuki T, Negishi T, Yukawa K. PlexinA1 deficiency in BALB/cAJ mice leads to excessive self-grooming and reduced prepulse inhibition. IBRO Rep 2020; 9:276-289. [PMID: 33163687 PMCID: PMC7607060 DOI: 10.1016/j.ibror.2020.10.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 10/20/2020] [Indexed: 11/17/2022] Open
Abstract
PlexinA1 (PlxnA1) is a transmembrane receptor for semaphorins, a large family of proteins that act as axonal guidance cues during nervous system development. However, there are limited studies on PlxnA1 function in neurobehavior. The present study examined if PlxnA1 deficiency leads to behavioral abnormalities in BALB/cAJ mice. PlxnA1 knockout (KO) mice were generated by homologous recombination and compared to wild type (WT) littermates on a comprehensive battery of behavioral tests, including open field assessment of spontaneous ambulation, state anxiety, and grooming, home cage grooming, the wire hang test of muscle strength, motor coordination on the rotarod task, working memory on the Y maze alternation task, cued and contextual fear conditioning, anxiety on the elevated plus maze, sociability to intruders, and sensory processing as measured by prepulse inhibition (PPI). Measures of motor performance, working memory, fear memory, and sociability did not differ significantly between genotypes, while PlxnA1 KO mice displayed excessive self-grooming, impaired PPI, and slightly lower anxiety. These results suggest a crucial role for PlxnA1 in the development and function of brain regions controlling self-grooming and sensory gating. PlxnA1 KO mice may be a valuable model to investigate the repetitive behaviors and information processing deficits characteristic of many neurodevelopmental and psychiatric disorders.
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Affiliation(s)
- Mst Sharifa Jahan
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Takuji Ito
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Sachika Ichihashi
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Takanobu Masuda
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | | | - Ikuko Takahashi
- Radioisotope Center, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Hyota Takamatsu
- Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Suita, Japan
| | - Atsushi Kumanogoh
- Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Suita, Japan
| | - Takamasa Tsuzuki
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Takayuki Negishi
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
| | - Kazunori Yukawa
- Department of Physiology, Faculty of Pharmacy, Meijo University, Nagoya, Japan
- Corresponding author.
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10
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Bo Q, Mao Z, Tian Q, Yang N, Li X, Dong F, Zhou F, Li L, Wang C. Impaired Sensorimotor Gating Using the Acoustic Prepulse Inhibition Paradigm in Individuals at a Clinical High Risk for Psychosis. Schizophr Bull 2020; 47:128-137. [PMID: 32743658 PMCID: PMC7825103 DOI: 10.1093/schbul/sbaa102] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Many robust studies have investigated prepulse inhibition (PPI) in patients with schizophrenia. Recent evidence indicates that PPI may help identify individuals who are at clinical high risk for psychosis (CHR). Selective attention to prepulse stimulus can specifically enhance PPI in healthy subjects; however, this enhancement effect is not observed in patients with schizophrenia. Modified PPI measurement with selective attentional modulation using perceived spatial separation (PSS) condition may be a more robust and sensitive index of PPI impairment in CHR individuals. The current study investigated an improved PSSPPI condition in CHR individuals compared with patients with first-episode schizophrenia (FES) and healthy controls (HC) and evaluated the accuracy of PPI in predicting CHR from HC. We included 53 FESs, 55 CHR individuals, and 53 HCs. CHRs were rated on the Structured Interview for Prodromal Syndromes. The measures of perceived spatial co-location PPI (PSCPPI) and PSSPPI conditions were applied using 60- and 120-ms lead intervals. Compared with HC, the CHR group had lower PSSPPI level (Inter-stimulus interval [ISI] = 60 ms, P < .001; ISI = 120 ms, P < .001). PSSPPI showed an effect size (ES) between CHR and HC (ISI = 60 ms, Cohen's d = 0.91; ISI = 120 ms, Cohen's d = 0.98); on PSSPPI using 60-ms lead interval, ES grade increased from CHR to FES. The area under the receiver operating characteristic curve for PSSPPI was greater than that for PSCPPI. CHR individuals showed a PSSPPI deficit similar to FES, with greater ES and sensitivity. PSSPPI appears a promising objective approach for preliminary identification of CHR individuals.
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Affiliation(s)
- Qijing Bo
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhen Mao
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qing Tian
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ningbo Yang
- Department of Psychiatry, First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Xianbin Li
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Fang Dong
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Fuchun Zhou
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Liang Li
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China,To whom correspondence should be addressed; Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing 100088, China; tel: +86-10-58303195, fax: +86-10-58303133, e-mail:
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11
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Kaushik R, Lipachev N, Matuszko G, Kochneva A, Dvoeglazova A, Becker A, Paveliev M, Dityatev A. Fine structure analysis of perineuronal nets in the ketamine model of schizophrenia. Eur J Neurosci 2020; 53:3988-4004. [PMID: 32510674 DOI: 10.1111/ejn.14853] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 05/12/2020] [Accepted: 05/30/2020] [Indexed: 12/12/2022]
Abstract
Perineuronal nets (PNNs) represent a highly condensed specialized form of brain extracellular matrix (ECM) enwrapping mostly parvalbumin-positive interneurons in the brain in a mesh-like fashion. PNNs not only regulate the onset and completion of the critical period during postnatal brain development, control cell excitability, and synaptic transmission but are also implicated in several brain disorders including schizophrenia. Holes in the perineuronal nets, harboring the synaptic contacts, along with hole-surrounding ECM barrier can be viewed as PNN compartmentalization units that might determine the properties of synapses and heterosynaptic communication. In this study, we developed a novel open-source script for Fiji (ImageJ) to semi-automatically quantify structural alterations of PNNs such as the number of PNN units, area, mean intensity of PNN marker expression in 2D and 3D, shape parameters of PNN units in the ketamine-treated Sprague-Dawley rat model of schizophrenia using high-resolution confocal microscopic images. We discovered that the mean intensity of ECM within PNN units is inversely correlated with the area and the perimeter of the PNN holes. The intensity, size, and shape of PNN units proved to be three major principal factors to describe their variability. Ketamine-treated rats had more numerous but smaller and less circular PNN units than control rats. These parameters allowed to correctly classify individual PNNs as derived from control or ketamine-treated groups with ≈85% reliability. Thus, the proposed multidimensional analysis of PNN units provided a robust and comprehensive morphometric fingerprinting of fine ECM structure abnormalities in the experimental model of schizophrenia.
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Affiliation(s)
- Rahul Kaushik
- Molecular Neuroplasticity, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Nikita Lipachev
- Molecular Neuroplasticity, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Physics, Kazan Federal University, Kazan, Russia
| | - Gabriela Matuszko
- Molecular Neuroplasticity, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Anastasia Kochneva
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Anastasia Dvoeglazova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia
| | - Axel Becker
- Institute of Pharmacology and Toxicology, Faculty of Medicine, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Mikhail Paveliev
- Danish Research Institute of Translational Neuroscience, Aarhus University, Aarhus, Denmark.,Neuroscience Center, University of Helsinki, Helsinki, Finland
| | - Alexander Dityatev
- Molecular Neuroplasticity, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany.,Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany
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12
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Spatial specificity in attentional modulation of prepulse inhibition of the startle reflex in rats. Exp Brain Res 2020; 238:1555-1561. [DOI: 10.1007/s00221-020-05818-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 04/17/2020] [Indexed: 10/24/2022]
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13
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Togay B, Çıkrıkçılı U, Bayraktaroglu Z, Uslu A, Noyan H, Üçok A. Lower prepulse inhibition in clinical high-risk groups but not in familial risk groups for psychosis compared with healthy controls. Early Interv Psychiatry 2020; 14:196-202. [PMID: 31264797 DOI: 10.1111/eip.12845] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 04/18/2019] [Accepted: 06/09/2019] [Indexed: 10/26/2022]
Abstract
AIM Although the lower level of prepulse inhibition (PPI) of the startle response is well known in schizophrenia, the onset of this difference is not clear. The aim of the present study was to compare PPI in individuals with clinical and familial high risk for psychosis, and healthy controls. METHODS We studied PPI in individuals within three groups: ultra-high risk for psychosis (UHR, n = 29), familial high risk for psychosis (FHR, n = 24) and healthy controls (HC, n = 28). The FHR group was chosen among siblings of patients with schizophrenia, whereas UHR was defined based on the Comprehensive Assessment of At-Risk Mental States (CAARMS). We collected clinical data using the BPRS-E, SANS and SAPS when individuals with UHR were antipsychotic-naïve. A cognitive battery that assessed attention, cognitive flexibility, working memory, verbal learning and memory domains was applied to all participants. RESULTS PPI was lower in the UHR group compared with both the FHR and HC groups. Those with a positive family history for schizophrenia had lower PPI than others in the UHR group. There was no difference in PPI between the FHR and HC groups. We found no relationship between PPI and cognitive performance in the three groups. Startle reactivity was not different among the three groups. Positive and negative symptoms were not related to PPI and startle reactivity in the UHR group. CONCLUSIONS Our findings suggest that clinical and familial high-risk groups for psychosis have different patterns of PPI.
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Affiliation(s)
- Bilge Togay
- University of Health Sciences, Tepecik Training and Research Hospital, Clinic of Psychiatry, Izmir, Turkey
| | | | - Zubeyir Bayraktaroglu
- Istanbul Medipol University, International School of Medicine, Department of Physiology, Beykoz, Istanbul, Turkey.,Istanbul Medipol University, Regenerative and Restorative Medicine Research Center (REMER), Beykoz, Istanbul, Turkey
| | - Atilla Uslu
- Istanbul Faculty of Medicine, Department of Physiology, Istanbul University, Istanbul, Turkey
| | - Handan Noyan
- Institute of Experimental Medicine and Research, Istanbul University, Istanbul, Turkey
| | - Alp Üçok
- Istanbul Faculty of Medicine, Department of Psychiatry, Istanbul University, Istanbul, Turkey
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14
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Meng Q, Ding Y, Chen L, Li L. The medial agranular cortex mediates attentional enhancement of prepulse inhibition of the startle reflex. Behav Brain Res 2020; 383:112511. [DOI: 10.1016/j.bbr.2020.112511] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Revised: 01/15/2020] [Accepted: 01/24/2020] [Indexed: 12/12/2022]
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15
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Heidinger L, Reilly JL, Wang L, Goldman MB. Circuit activity underlying a distinct modulator of prepulse inhibition. Psychiatry Res Neuroimaging 2019; 288:1-11. [PMID: 31030001 DOI: 10.1016/j.pscychresns.2019.04.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 01/01/2019] [Accepted: 04/15/2019] [Indexed: 12/20/2022]
Abstract
Prepulse inhibition (PPI), the diminished eye blink response to a startling pulse induced by a prepulse, is regulated by brainstem, and modulated by cerebral, processes. Attentional modulation by the prepulse (AMP), a potential biomarker of psychotic disorders, differs from other modulatory processes because it only occurs if the interval between the prepulse and pulse exceeds 100 ms (>PP100). Videotaped eye blinks were measured during fMRI scanning in 15 healthy subjects hearing 64 pulse alone, 64 PP60 and 64 PP120 trials in a rapid event-related design. Because attentional influences on PPI vary spontaneously, we posited AMP could be isolated by comparing eye blink and Blood Oxygen Level Dependent covariation during the two PP trial types. Behavioral regressor coefficients reflecting significant covariation covered the insula and auditory cortices during PP120 but not PP60 trials. Clusters within the right anterior insula and auditory cortex were specific to AMP. Functional connections (FCs) between cerebral ROIs implicated in PPI were stronger during PP120 trials. The four FCs that were individually stronger during PP120 trials involved the right insula or auditory cortex and three were not present during PP60 trials. Converging evidence indicates the right insula is the hub of a network underlying AMP.
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Affiliation(s)
- Linda Heidinger
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, 446 East Ontario, Suite 7-100, Chicago, IL 60611, USA
| | - James L Reilly
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, 446 East Ontario, Suite 7-100, Chicago, IL 60611, USA
| | - Lei Wang
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, 446 East Ontario, Suite 7-100, Chicago, IL 60611, USA; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Morris B Goldman
- Department of Psychiatry, Northwestern University Feinberg School of Medicine, 446 East Ontario, Suite 7-100, Chicago, IL 60611, USA.
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16
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Ding Y, Xu N, Gao Y, Wu Z, Li L. The role of the deeper layers of the superior colliculus in attentional modulations of prepulse inhibition. Behav Brain Res 2019; 364:106-113. [DOI: 10.1016/j.bbr.2019.01.052] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 12/30/2018] [Accepted: 01/27/2019] [Indexed: 01/19/2023]
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17
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Effects of early postnatal MK-801 treatment on behavioral properties in rats: Differences according to treatment schedule. Behav Brain Res 2019; 370:111926. [PMID: 31029708 DOI: 10.1016/j.bbr.2019.111926] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 03/24/2019] [Accepted: 04/24/2019] [Indexed: 12/12/2022]
Abstract
It has been proposed that animals administered early postnatal NMDA (N-methyl-d-aspartate) glutamate receptor antagonists represent a model of schizophrenia; however, drug treatment schedules remain quite different among these animal studies. In this study, we compared the behavioral effects of long-term (14-day) and short-term (5-day) early postnatal treatment of the NMDA receptor antagonist MK-801 (dizocilpine; 5-methyl-10,11-dihydro-5H-dibenzo[a,d]-cyclohepten-5,10-imine). In addition, different drug treatment periods were applied to the short-term treatment study in order to determine the critical developmental period of drug effects. For experiment 1, rats were treated with MK-801 (0.2 or 0.4 mg/kg, twice daily) during postnatal days (PNDs) 7-20. For experiment 2, MK-801 (0.2 mg/kg, twice daily) was administered during the periods of PNDs 7-11, 12-16, and 17-21. In adulthood, several behavioral tests, including prepulse inhibition, open-field, and spontaneous alternation tests, were performed in experiments 1 and 2. The delayed nonmatching-to-position task was also conducted in experiment 2 on separate rats treated for 5 days in the same manner. Our results indicated that the 14-day MK-801 treatment inhibited the prepulse inhibition and decreased immobility in the forced-swim test, whereas the 5-day MK-801 treatment induced only slight behavioral effects. Collectively, our findings suggest that long-term early postnatal treatment with an NMDA receptor antagonist may be detrimental to some behavioral functions, such as sensorimotor gating and stress coping; however, treatment for longer periods is needed to elicit detrimental effects.
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18
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Wu C, Ding Y, Chen B, Gao Y, Wang Q, Wu Z, Lu L, Luo L, Zhang C, Bao X, Yang P, Fan L, Lei M, Li L. Both Val158Met Polymorphism of Catechol-O-Methyltransferase Gene and Menstrual Cycle Affect Prepulse Inhibition but Not Attentional Modulation of Prepulse Inhibition in Younger-Adult Females. Neuroscience 2019; 404:396-406. [PMID: 30742958 DOI: 10.1016/j.neuroscience.2019.02.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 01/30/2019] [Accepted: 02/01/2019] [Indexed: 12/11/2022]
Abstract
Prepulse inhibition (PPI) can be modulated by both the Val158Met (rs4680) polymorphism of the Catechol-O-Methyltransferase (COMT) gene and the menstrual-cycle-related hormone fluctuations, each of which affects the subcortical/cortical dopamine metabolism. PPI can also be modulated by attention. The attentional modulation of PPI (AMPPI) is sensitive to psychoses. Whether the Val158Met polymorphism affects the AMPPI in female adults at different menstrual-cycle phases is unknown. This study examined whether AMPPI and/or PPI are affected by the Val158Met polymorphism in 177 younger-adult females whose menstrual cycles were mutually different across the menstruation, proliferative, or secretory phases. The AMPPI was evaluated by comparing PPI under the condition of the auditory precedence-effect-induced perceptual spatial separation between the prepulse stimulus and a masking noise (PPIPSS) against that under the condition of the precedence-effect-induced perceptual spatial co-location (PPIPSC). The results showed that both the menstrual cycle and the COMT Val158Met polymorphism affected both PPIPSC and PPIPSS, but not the AMPPI (difference between PPIPSS and PPIPSC). Moreover, throughout the menstrual cycle, both PPIPSC and PPIPSS decreased monotonously in Val/Val-carrier participants. However, the decreasing pattern was not overserved in either Met/Met-carrier or Met/Val-carrier participants. Thus, in healthy younger-adult females, PPIPSC and PPIPSS, but not the AMPPI, is vulnerable to changes of ovarian hormones, and the COMT Val158Met polymorphism also has a modulating effect on this menstrual-cycle-dependent PPI variation. In contrast, the AMPPI seems to be more steadily trait-based, less vulnerable to ovarian hormone fluctuations, and may be useful in assisting the diagnosis of schizophrenia in female adults.
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Affiliation(s)
- Chao Wu
- School of Nursing, Peking University Health Science Center, Beijing, 100191, China; PKU-IDG/McGovern Institute for Brain Research, School of Life Sciences, Peking University, Beijing 100871, China
| | - Yu Ding
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Biqing Chen
- PKU-IDG/McGovern Institute for Brain Research, School of Life Sciences, Peking University, Beijing 100871, China
| | - Yayue Gao
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Qian Wang
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Zhemeng Wu
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Lingxi Lu
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Lu Luo
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Changxin Zhang
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Xiaohan Bao
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Pengcheng Yang
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Langchen Fan
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Ming Lei
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China
| | - Liang Li
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Speech and Hearing Research Center, Key Laboratory on Machine Perception (Ministry of Education), Peking University, Beijing 100080, China; Beijing Institute for Brain Disorders, Beijing, China.
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19
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Bo Q, Mao Z, Tian Q, Wen Y, Dong F, Li X, Wang Z, Ma X, Wang C. Deficits of perceived spatial separation-induced prepulse inhibition in patients with bipolar disorder compared to healthy controls. J Affect Disord 2018; 240:63-71. [PMID: 30056171 DOI: 10.1016/j.jad.2018.07.050] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 06/06/2018] [Accepted: 07/17/2018] [Indexed: 01/06/2023]
Abstract
OBJECTIVE This study aimed to assess sensorimotor gating deficits in patients with bipolar disorder (BD) using a modified perceived spatial separation-induced prepulse inhibition (PSS-PPI) paradigm. The relationships between PSS-PPI, demographic and clinical characteristics, and cognitive functioning were also analyzed. METHODS In this cross-sectional study, 30 patients with BD were compared to 33 healthy controls (HC) with respect to prepulse inhibition measures of PSS-PPI using a 120 ms lead interval. The Young Mania Rating Scale, Hamilton Depression Scale, and Hamilton Anxiety Scale were used to assess manic, depressive, and anxiety symptoms. Cognition was evaluated using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and the Stroop color-word test. RESULTS Compared with HC, patients with BD had a lower PSS-PPI level. PSS-PPI showed medium effect size (ES) between patients with BD and HC (ES = 0.65). Among patients with BD, PSS-PPI was positively correlated with the language domain of RBANS and negatively correlated with double word time and color interference time. There were no differences in PSS-PPI levels between patients with and without psychotic symptoms or between those euthymic patients or depressive patients with BD. CONCLUSIONS Patients with BD show a sensorimotor gating deficit as measured by perceived spatial separation-induced PPI of the startle response, which was more sensitive compared to the classic PPI paradigm. Euthymic bipolar patients and depressive bipolar patients show similar PPI level. PPI deficit in patients with BD is related to cognition, but not with demographic and clinical characteristics.
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Affiliation(s)
- Qijing Bo
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Zhen Mao
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Qing Tian
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Yujie Wen
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Fang Dong
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Xianbin Li
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Zhimin Wang
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Xin Ma
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China.
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20
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Li XB, Bo QJ, Tian Q, Yang NB, Mao Z, Zheng W, Wen YJ, Wang CY. Impact of childhood trauma on sensory gating in patients with first-episode schizophrenia. BMC Psychiatry 2018; 18:258. [PMID: 30115023 PMCID: PMC6097339 DOI: 10.1186/s12888-018-1807-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2017] [Accepted: 07/05/2018] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Childhood trauma (CT) has been found to contribute to the onset of schizophrenia and auditory sensory gating deficit is a leading endophenotype for schizophrenia. However, the association between the CT and sensory gating in first-episode schizophrenia remains elusive. METHODS Fifty-six patients and 49 age and sex-matched healthy controls were assessed using the Childhood Trauma Questionnaire-Short Form (CTQ-SF) for CT and Positive and Negative Syndrome Scale (PANSS) for symptoms severity. Sensory gating was tested using the modified paradigm, perceived spatial separation-induced prepulse inhibition (PSS-PPI), and the perceived spatial co-location PPI (PSC-PPI or classical PPI). RESULTS Comparing with healthy controls, the patients had significantly higher score on sexual abuse (t = 2.729, p < 0.05), lower PSS- PPI, % (ISI = 120 ms and ISI = 60 ms) (t = - 3.089, - 4.196, p < 0.05). Univariate analysis revealed the absence of a significant correlation among CT, PPI paradigms and symptoms. However, multiple linear regression analyses demonstrated the CTQ-SF total was negatively associated with PSS PPI (ISI = 120 ms) (p = 0.018). CONCLUSION The current study illustrates that the impact of CT on sensory gating in patients with first-episode schizophrenia, and thus we conclude that CT may be a risk factor to the occurrence of schizophrenia through its impact on sensory gating.
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Affiliation(s)
- Xian-Bin Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
| | - Qi-Jing Bo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
| | - Qing Tian
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
| | - Ning-Bo Yang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
| | - Zhen Mao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
| | - Wei Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Yu-Jie Wen
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
| | - Chuan-Yue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders & Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088 China
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21
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The role of N-methyl-d-aspartate receptors and metabotropic glutamate receptor 5 in the prepulse inhibition paradigms for studying schizophrenia: pharmacology, neurodevelopment, and genetics. Behav Pharmacol 2018; 29:13-27. [DOI: 10.1097/fbp.0000000000000352] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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22
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Lei M, Zhang C, Li L. Neural correlates of perceptual separation-induced enhancement of prepulse inhibition of startle in humans. Sci Rep 2018; 8:472. [PMID: 29323167 PMCID: PMC5765047 DOI: 10.1038/s41598-017-18793-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 12/04/2017] [Indexed: 12/17/2022] Open
Abstract
Prepulse inhibition (PPI) is the suppression of the startle reflex when the intense startling stimulus is shortly preceded by a weaker non-startling stimulus (prepulse). In rats, the auditory precedence-effect-induced perceived spatial separation between the fear-conditioned prepulse and a noise masker facilitates selective attention to the prepulse and enhances PPI. However, whether the perceptual separation between the prepulse and a noise masker can also enhance PPI in humans remains unclear. Also, the relationship between the PPI enhancement and the change in early cortical representations of prepulse signals is unclear. This study for the first time reveals that in a sound-attenuated laboratory environment, relative to the listening condition with perceptual co-location between the prepulse stimulus and a noise-masking stimulus, the perceptual separation between the two stimuli significantly enhances the group-mean PPI. More importantly, the early cortical responses (N1/P2 complex) to the prepulse stimulus are also enhanced by the perceptual separation in most listeners, and the perceptual-separation-induced enhancement of the N1 component is positively correlated with the perceptual-separation-induced PPI enhancement. Thus, the perceptual separation enhances PPI through facilitating selective attention to the prepulse, leading to an enhancement of the early cortical representation of the prepulse signal in temporal auditory cortical fields.
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Affiliation(s)
- Ming Lei
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavioral and Mental Health, Peking University, Beijing, 100080, China.,Department of Health Industry Management, Beijing International Studies University, Beijing, 100024, China
| | - Changxin Zhang
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavioral and Mental Health, Peking University, Beijing, 100080, China.,Faculty of Education, East China Normal University, Shanghai, 200062, China
| | - Liang Li
- School of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavioral and Mental Health, Peking University, Beijing, 100080, China. .,Key Laboratory on Machine Perception (Ministry of Education), Speech and Hearing Research Center, Peking University, Beijing, 100871, China. .,Beijing Institute for Brain Disorders, Beijing, 100069, China.
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23
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Deficient prepulse inhibition of the startle reflex in schizophrenia using a cross-modal paradigm. Biol Psychol 2017; 128:112-116. [DOI: 10.1016/j.biopsycho.2017.07.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 07/19/2017] [Accepted: 07/20/2017] [Indexed: 02/02/2023]
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