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Zhang X, Cai W, Wang C, Tian J. N-methyl-d-aspartate receptors (NMDARs): a glutamate-activated cation channel with biased signaling and therapeutic potential in brain disorders. Pharmacol Ther 2025:108888. [PMID: 40412765 DOI: 10.1016/j.pharmthera.2025.108888] [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: 12/11/2024] [Revised: 04/21/2025] [Accepted: 05/15/2025] [Indexed: 05/27/2025]
Abstract
N-methyl-d-aspartate receptors (NMDARs) are a type of calcium-permeable ion channel receptors that are extensively distributed throughout the body, composed of various subunits. The presence of diverse ligands and subcellular localizations of the receptors confer biased signaling and distinct functional roles. Activation of the NMDARs induces calcium influx, which plays a pivotal role in neurotransmitter release, synaptic plasticity, and intracellular signaling. Differential localization of NMDARs at synaptic and extrasynaptic sites results in divergent physiological effects; excessive or insufficient activation of NMDARs disrupts calcium homeostasis, leading to neuronal damage and subsequent neurological dysfunction as well as related diseases. Therefore, it is crucial to develop drugs targeting NMDAR with high efficacy with low toxicity for treating disorders associated with NMDARs abnormalities. In this review, we summarize both fundamental and clinical studies on NMDARs while discussing potential therapeutic targets aimed at modulating ion channel activity through regulating mechanisms, subunit rearrangement, membrane expression, and the specific targeting of synaptic versus extrasynaptic NMDARs. Our goal is to provide new insights for innovative drug development.
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Affiliation(s)
- Xuan Zhang
- Institute of Brain Disease and Data Analysis, College of Life Sciences and Oceanography, Shenzhen University, 518060, Guangdong, PR China
| | - Wensheng Cai
- Institute of Brain Disease and Data Analysis, College of Life Sciences and Oceanography, Shenzhen University, 518060, Guangdong, PR China
| | - Chao Wang
- Chemical Analysis & Physical Testing Institute, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, Guang Dong, PR China
| | - Jing Tian
- Institute of Brain Disease and Data Analysis, College of Life Sciences and Oceanography, Shenzhen University, 518060, Guangdong, PR China.
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Gao S, Sun Y, Wu F, Jiang J, Peng T, Zhang R, Ling C, Han Y, Xu Q, Zou L, Liao Y, Liang C, Zhang D, Qi S, Tang J, Xu X. Effects on Multimodal Connectivity Patterns in Female Schizophrenia During 8 Weeks of Antipsychotic Treatment. Schizophr Bull 2025; 51:829-840. [PMID: 39729483 PMCID: PMC12061653 DOI: 10.1093/schbul/sbae176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2024]
Abstract
BACKGROUND AND HYPOTHESIS Respective abnormal structural connectivity (SC) and functional connectivity (FC) have been reported in individuals with schizophrenia. However, transmodal associations between SC and FC following antipsychotic treatment, especially in female schizophrenia, remain unclear. We hypothesized that increased SC-FC coupling may be found in female schizophrenia, and could be normalized after antipsychotic treatment. STUDY DESIGN Sixty-four female drug-naïve patients with first-diagnosed schizophrenia treated with antipsychotic drugs for 8 weeks, and 55 female healthy controls (HCs) were enrolled. Magnetic resonance imaging (MRI) data were collected from HCs at baseline and from patients at baseline and after treatment. SC and FC were analyzed by network-based statistics, calculating nonzero SC-FC coupling of the whole brain and altered connectivity following treatment. Finally, an Elastic-net logistic regression analysis was employed to establish a predictive model for evaluating the clinical efficacy treatment. STUDY RESULTS At baseline, female schizophrenia patients exhibited abnormal SC in cortico-cortical, frontal-limbic, frontal-striatal, limbic-striatal, and limbic-cerebellar connectivity compared to HCs, while FC showed no abnormalities. Following treatment, cortico-cortical, frontal-limbic, frontal-striatal, limbic-striatal, temporal-cerebellar, and limbic-cerebellar connectivity were altered in both SC and FC. Additionally, SC-FC coupling of altered connectivity was higher in patients at baseline than in HC, trending toward normalization after treatment. Furthermore, identified FC or/and SC predicted changes in psychopathological symptoms and cognitive impairment among female schizophrenia following treatment. CONCLUSIONS SC-FC coupling may be a potential predictive biomarker of treatment response. Cortico-cortical, frontal-limbic, frontal-striatal, limbic-striatal, temporal-cerebellar, and limbic-cerebellar could represent major targets for antipsychotic drugs in female schizophrenia.
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Affiliation(s)
- Shuzhan Gao
- Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
- Department of Psychiatry, Nanjing Brain Hospital, Medical School, Nanjing University, Nanjing, 210029, China
| | - Yunkai Sun
- Department of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China
| | - Fan Wu
- Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Jing Jiang
- Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Ting Peng
- Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Rongrong Zhang
- Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Chenxi Ling
- Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yanlin Han
- Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Qing Xu
- Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Lulu Zou
- Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yanhui Liao
- Department of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China
| | - Chuang Liang
- College of Computer Science and Technology and the Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
| | - Daoqiang Zhang
- College of Computer Science and Technology and the Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
| | - Shile Qi
- College of Computer Science and Technology and the Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China
| | - Jinsong Tang
- Department of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China
| | - Xijia Xu
- Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
- Department of Psychiatry, Nanjing Brain Hospital, Medical School, Nanjing University, Nanjing, 210029, China
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3
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Holter KM, Klausner MG, Hite MH, Moriarty CT, Barth SH, Pierce BE, Iannucci AN, Sheffler DJ, Cosford NDP, Bimonte-Nelson HA, Raab-Graham KF, Gould RW. 17β-estradiol status alters NMDAR function and antipsychotic-like activity in female rats. Mol Psychiatry 2025:10.1038/s41380-025-02996-0. [PMID: 40185905 DOI: 10.1038/s41380-025-02996-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 03/14/2025] [Accepted: 03/26/2025] [Indexed: 04/07/2025]
Abstract
Low 17β-estradiol (E2) in females of reproductive age, and marked E2 decline with menopause, contributes to heightened symptom severity in schizophrenia (i.e. cognitive dysfunction) and diminished response to antipsychotic medications. However, the underlying mechanisms are unknown. N-methyl-D-aspartate receptor (NMDAR) hypofunction contributes to the pathophysiology of schizophrenia, yet impact of E2 depletion on NMDAR function is not well characterized. Quantitative electroencephalography (qEEG), specifically gamma power, is a well-established functional readout of cortical activity that is elevated in patients with schizophrenia and is sensitive to alterations in NMDAR function. Using qEEG and touchscreen cognitive assessments, present studies investigated the effects of E2 on NMDAR function by administering MK-801 (NMDAR antagonist) to ovariectomized rats with or without E2 implants (Ovx+E and Ovx, respectively). Ovx rats were more sensitive to MK-801-induced elevations in gamma power and attentional impairments compared to Ovx+E rats. Further investigation revealed these effects were mediated by reduced synaptic GluN2A expression. Consistent with clinical reports, olanzapine (second-generation antipsychotic) was less effective in mitigating MK-801-induced elevations in gamma power in Ovx rats. Lastly, we examined antipsychotic-like activity of a Group II metabotropic glutamate receptor (mGlu2/3) positive allosteric modulator (PAM), SBI-0646535, as a novel therapeutic in E2-deprived conditions. SBI-0646535 reversed MK-801-induced elevations in gamma power regardless of E2 status. Collectively, these studies established a relationship between E2 deprivation and NMDAR function that is in part GluN2A-dependent, supporting the notion that E2 deprivation increases susceptibility to NMDAR hypofunction. This highlights the need to examine age/hormone-specific factors when considering antipsychotic response and designing novel pharmacotherapies.
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Affiliation(s)
- Kimberly M Holter
- Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - McKenna G Klausner
- Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Mary Hunter Hite
- Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Carson T Moriarty
- Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Samuel H Barth
- Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Bethany E Pierce
- Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Alexandria N Iannucci
- Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Douglas J Sheffler
- Cancer Molecular Therapeutics Program. NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Nicholas D P Cosford
- Cancer Molecular Therapeutics Program. NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | | | - Kimberly F Raab-Graham
- Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Robert W Gould
- Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
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4
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Holter KM, Klausner M, Hite MH, Moriarty C, Barth S, Pierce B, Iannucci A, Sheffler D, Cosford N, Bimonte-Nelson H, Raab-Graham KF, Gould RW. 17β-estradiol status alters NMDAR function and antipsychotic-like activity in female rats. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.02.10.637465. [PMID: 39990384 PMCID: PMC11844370 DOI: 10.1101/2025.02.10.637465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
Low 17β-estradiol (E2) in females of reproductive age, and marked E2 decline with menopause, contributes to heightened symptom severity in schizophrenia (i.e. cognitive dysfunction) and diminished response to antipsychotic medications. However, the underlying mechanisms are unknown. N-methyl-D-aspartate receptor (NMDAR) hypofunction contributes to the pathophysiology of schizophrenia, yet impact of E2 depletion on NMDAR function is not well characterized. Quantitative electroencephalography (qEEG), specifically gamma power, is a well-established functional readout of cortical activity that is elevated in patients with schizophrenia and is sensitive to alterations in NMDAR function. Using qEEG and touchscreen cognitive assessments, present studies investigated the effects of E2 on NMDAR function by administering MK-801 (NMDAR antagonist) to ovariectomized rats with or without E2 implants (Ovx+E and Ovx, respectively). Ovx rats were more sensitive to MK-801-induced elevations in gamma power and attentional impairments compared to Ovx+E rats. Further investigation revealed these effects were mediated by reduced synaptic GluN2A expression. Consistent with clinical reports, olanzapine (second-generation antipsychotic) was less effective in mitigating MK-801-induced elevations in gamma power in Ovx rats. Lastly, we examined antipsychotic-like activity of a Group II metabotropic glutamate receptor (mGlu2/3) positive allosteric modulator (PAM), SBI-0646535, as a novel therapeutic in E2-deprived conditions. SBI-0646535 reversed MK-801-induced elevations in gamma power equally regardless of E2 status. Collectively, these studies established a relationship between E2 deprivation and NMDAR function that is in part GluN2A-dependent, supporting the notion that E2 deprivation increases susceptibility to NMDAR hypofunction. This highlights the need to examine age/hormone-specific factors when considering antipsychotic response and designing novel pharmacotherapies.
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