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Su L, Li G, Chow BKC, Cardoso JCR. Neuropeptides and receptors in the cephalochordate: A crucial model for understanding the origin and evolution of vertebrate neuropeptide systems. Mol Cell Endocrinol 2024; 592:112324. [PMID: 38944371 DOI: 10.1016/j.mce.2024.112324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/26/2024] [Accepted: 06/25/2024] [Indexed: 07/01/2024]
Abstract
Genomes and transcriptomes from diverse organisms are providing a wealth of data to explore the evolution and origin of neuropeptides and their receptors in metazoans. While most neuropeptide-receptor systems have been extensively studied in vertebrates, there is still a considerable lack of understanding regarding their functions in invertebrates, an extraordinarily diverse group that account for the majority of animal species on Earth. Cephalochordates, commonly known as amphioxus or lancelets, serve as the evolutionary proxy of the chordate ancestor. Their key evolutionary position, bridging the invertebrate to vertebrate transition, has been explored to uncover the origin, evolution, and function of vertebrate neuropeptide systems. Amphioxus genomes exhibit a high degree of sequence and structural conservation with vertebrates, and sequence and functional homologues of several vertebrate neuropeptide families are present in cephalochordates. This review aims to provide a comprehensively overview of the recent findings on neuropeptides and their receptors in cephalochordates, highlighting their significance as a model for understanding the complex evolution of neuropeptide signaling in vertebrates.
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Affiliation(s)
- Liuru Su
- School of Biological Sciences, The University of Hong Kong, Hong Kong, China; State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Guang Li
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China.
| | - Billy K C Chow
- School of Biological Sciences, The University of Hong Kong, Hong Kong, China.
| | - João C R Cardoso
- Comparative Endocrinology and Integrative Biology, Centre of Marine Sciences, Universidade do Algarve, 8005-139, Faro, Portugal.
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2
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Zhao T, Chen A, Dai D, Li Z, Gao XF, Xiong L. Role of the GRP/GRPR System in Regulating Brain Functions. ACS Chem Neurosci 2023; 14:3588-3598. [PMID: 37702025 DOI: 10.1021/acschemneuro.3c00392] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023] Open
Abstract
Re-examining the relationship between neuropeptide systems and neural circuits will help us to understand more intensively the critical role of neuropeptides in brain function as the neural circuits responsible for specific brain functions are gradually revealed. Gastrin-releasing peptide receptors (GRPRs) are Gαq-coupling neuropeptide receptors and widely distributed in the brain, including hippocampus, amygdala, hypothalamus, nucleus tractus solitarius (NTS), suprachiasmatic nucleus (SCN), paraventricular nucleus of the hypothalamus (PVN), preoptic area of the hypothalamus (POA), preBötzinger complex (preBötC), etc., implying the GRP/GRPR system is involved in modulating multiple brain functions. In this review, we focus on the functionality of GRPR neurons and the regulatory role of the GRP/GRPR system in memory and cognition, fear, depression and anxiety, circadian rhythms, contagious itch, gastric acid secretion, food intake, body temperature, and sighing behavior. It can be found that GRPR is usually centered on a certain brain nucleus or anatomical structure and modulates richer or more specific behaviors by connecting with additional different nuclei. In order to explain the regulatory mechanism of the GRP/GRPR system, more precise intervention methods are needed.
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Affiliation(s)
- Tiantian Zhao
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, No.1481, Xinshi North Road, Shanghai 200434, China
| | - Aiwen Chen
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, No.1481, Xinshi North Road, Shanghai 200434, China
| | - Danqing Dai
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, No.1481, Xinshi North Road, Shanghai 200434, China
| | - Zhen Li
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, No.1481, Xinshi North Road, Shanghai 200434, China
| | - Xiao-Fei Gao
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, No.1481, Xinshi North Road, Shanghai 200434, China
| | - Lize Xiong
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Clinical Research Center for Anesthesiology and Perioperative Medicine, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, No.1481, Xinshi North Road, Shanghai 200434, China
- Department of Anesthesiology and Perioperative Medicine, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, No. 1279, Sanmen Road, Shanghai 200434, China
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Zhang L, Li L, Meng F, Yu J, He F, Lin Y, Su Y, Hu M, Liu X, Liu Y, Luo B, Peng G. Serum Metabolites Differentiate Amnestic Mild Cognitive Impairment From Healthy Controls and Predict Early Alzheimer's Disease via Untargeted Lipidomics Analysis. Front Neurol 2021; 12:704582. [PMID: 34408722 PMCID: PMC8365883 DOI: 10.3389/fneur.2021.704582] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 07/05/2021] [Indexed: 11/24/2022] Open
Abstract
Background and Aim: Alzheimer's disease (AD) is the most common type of dementia and presents with metabolic perturbations early in the disease process. In order to explore biomarkers useful in predicting early AD, we compared serum metabolites among patients suffering different stages of AD. Methods: We recruited 107 participants including 23 healthy controls (HC), 21 amnestic mild cognitive impairment (aMCI), 24 non-amnestic mild cognitive impairment (naMCI) and 39 AD patients. Via liquid chromatography-mass spectrometry based serum untargeted lipidomics analysis, we compared differences in serum lipid metabolites among these patient groups and further elucidated biomarkers that differentiate aMCI from HC. Results: There were significant differences of serum lipid metabolites among the groups, and 20 metabolites were obtained under negative ion mode from HC and aMCI comparison. Notably, 16:3 cholesteryl ester, ganglioside GM3 (d18:1/9z-18:1) and neuromedin B were associated with cognition and increased the predictive effect of aMCI to 0.98 as revealed by random forest classifier. The prediction model composed of MoCA score, 16:3 cholesteryl ester and ganglioside GM3 (d18:1/9z-18:1) had good predictive performance for aMCI. Glycerophospholipid metabolism was a pathway common among HC/aMCI and aMCI/AD groups. Conclusion: This study provides preliminary evidence highlighting that 16:3 cholesteryl ester were useful for AD disease monitoring while ganglioside GM3 (d18:1/9z-18:1) and neuromedin B discriminated aMCI from HC, which can probably be applied in clinic for early predicting of AD.
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Affiliation(s)
- Lumi Zhang
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lingxiao Li
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fanxia Meng
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jie Yu
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fangping He
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yajie Lin
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yujie Su
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Mengjie Hu
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoyan Liu
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yang Liu
- Department of Neurology, Saarland University, Homburg, Germany
| | - Benyan Luo
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guoping Peng
- Department of Neurology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Yang J, Yang X, Xiao X, Ming D. The effects of gastrin-releasing peptide on the voltage-gated channels in rat hippocampal neurons. Neuropeptides 2020; 84:102080. [PMID: 33059246 DOI: 10.1016/j.npep.2020.102080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 08/09/2020] [Accepted: 08/09/2020] [Indexed: 11/20/2022]
Abstract
Gastrin-releasing peptide (GRP) has been implicated in several aspects of physiology and behavior including digestion, cancer, lung development, and memory process. Increasing evidence in rodents shows that GRP may contribute to hippocampal circuit function. Though the central role of GRP in the brain has been established, the cellular and molecular mechanisms of its actions have not been well defined. Thus in this study, we verified the expression of GRPR in the rat hippocampal CA1 region. Then we examined the mechanisms closely related to neuronal excitability, the effects of GRP on voltage-gated ion channels in CA1 neurons using patch-clamp. The results showed that GRP could decrease voltage-gated sodium currents mainly by affecting the kinetics of recovery from the inactivated state. However, GRP enhanced both kinds of voltage-gated potassium channels, the A-type channels were more sensitive to GRP than K-type channels. In conclusion, we found that GRP could alter the voltage-gated Na+ and K+ ion channel characteristics which might be the ionic mechanisms of the physiological function of GRP in the brain.
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Affiliation(s)
- Jiajia Yang
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, PR China; School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, PR China
| | - Xuening Yang
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, PR China
| | - Xi Xiao
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, PR China
| | - Dong Ming
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, PR China; School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, PR China.
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Wang F, Yang J, Yang X, Wang L, Zheng C, Ming D. Effects of Gastrin-releasing Peptide on Hippocampal Neural Networks in Vascular Dementia Rats .. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2019:4400-4403. [PMID: 31946842 DOI: 10.1109/embc.2019.8857771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Gastrin-releasing peptide (GRP) has been confirmed to exhibit a variety of physiological functions in the brain and play a role in many neurological diseases. Our previous research found that GRP could restore the impaired synaptic plasticity and the spatial learning and memory impairments induced by vascular dementia (VD). However, the specific mechanisms of GRP affecting hippocampus, especially the effects on the neuronal oscillations were still poorly understood. In this study, we examined the effects of GRP on the changes of the interactions between theta and gamma oscillations in the hippocampal CA3-CA1 pathway of VD rats and explored the potential electrophysiological mechanism. To this purpose, local field potentials (LFPs) simultaneously collected from hippocampal CA3 and CA1 were measured by the power spectrum, phase synchronization, phase-phase coupling (PPC) and phase-amplitude coupling (PAC). We found that GRP substantially restored the phase synchronization of the theta and gamma oscillations. The GRP also significantly improved the strength of theta-gamma cross-frequency coupling (including theta-gamma PPC and theta-gamma PAC) in the CA3-CA1 network. The results indicated that GRP could alleviate the changes of neural activities in hippocampal CA3-CA1 pathway induced by VD. This might be an electrophysiological mechanism for GRP preventing cognitive impairments induced by VD.
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Wang P, Zhang L, Li H, Wang Y, Zhang S, Liu Z. Characterization of GRP as a functional neuropeptide in basal chordate amphioxus. Int J Biol Macromol 2019; 142:384-394. [PMID: 31593737 DOI: 10.1016/j.ijbiomac.2019.09.109] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Revised: 09/12/2019] [Accepted: 09/14/2019] [Indexed: 01/14/2023]
Abstract
Amphioxus belongs to the subphylum cephalochordata, an extant representative of the most basal chordates, whose regulation of endocrine system remains ambiguous. Here we clearly demonstrated the existence of a functional GRP neuropeptide in amphioxus, which was able to interact with GRP receptor, activate both PKC and PKA pathways, increase gh, igf, and vegf expression. We also showed that the transcription level of amphioxus grp was affected by temperature and light, indicating the role of this gene in the regulation of energy balance and circadian rhythms. In addition, the expression of the amphioxus grp was detected in cerebral vesicle that has been proposed to be the homologous organ of vertebrate brain. These data collectively suggested that a functional GRP neuropeptide had already emerged in amphioxus, which provided insights into the evolutionary origin of GRP in chordate and the functional homology between the cerebral vesicle and vertebrate brain.
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Affiliation(s)
- Peng Wang
- Institute of Evolution & Marine Biodiversity and Department of Marine Biology, Ocean University of China, Qingdao 266003, China
| | - Liping Zhang
- Institute of Evolution & Marine Biodiversity and Department of Marine Biology, Ocean University of China, Qingdao 266003, China
| | - Haoyi Li
- Institute of Evolution & Marine Biodiversity and Department of Marine Biology, Ocean University of China, Qingdao 266003, China
| | - Yunsheng Wang
- Institute of Evolution & Marine Biodiversity and Department of Marine Biology, Ocean University of China, Qingdao 266003, China
| | - Shicui Zhang
- Institute of Evolution & Marine Biodiversity and Department of Marine Biology, Ocean University of China, Qingdao 266003, China; Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266003, China
| | - Zhenhui Liu
- Institute of Evolution & Marine Biodiversity and Department of Marine Biology, Ocean University of China, Qingdao 266003, China; Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266003, China.
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7
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Trakadis YJ, Sardaar S, Chen A, Fulginiti V, Krishnan A. Machine learning in schizophrenia genomics, a case-control study using 5,090 exomes. Am J Med Genet B Neuropsychiatr Genet 2019; 180:103-112. [PMID: 29704323 DOI: 10.1002/ajmg.b.32638] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 02/28/2018] [Accepted: 03/30/2018] [Indexed: 12/21/2022]
Abstract
Our hypothesis is that machine learning (ML) analysis of whole exome sequencing (WES) data can be used to identify individuals at high risk for schizophrenia (SCZ). This study applies ML to WES data from 2,545 individuals with SCZ and 2,545 unaffected individuals, accessed via the database of genotypes and phenotypes (dbGaP). Single nucleotide variants and small insertions and deletions were annotated by ANNOVAR using the reference genome hg19/GRCh37. Rare (predicted functional) variants with a minor allele frequency ≤1% and genotype quality ≥90 including missense, frameshift, stop gain, stop loss, intronic, and exonic splicing variants were selected. A file containing all cases and controls, the names of genes with variants meeting our criteria, and the number of variants per gene for each individual, was used for ML analysis. The supervised machine-learning algorithm used the patterns of variants observed in the different genes to determine which subset of genes can best predict that an individual is affected. Seventy percent of the data was used to train the algorithm and the remaining 30% of data (n = 1,526) was used to evaluate its efficiency. The supervised ML algorithm, gradient boosted trees with regularization (eXtreme Gradient Boosting implementation) was the best performing algorithm yielding promising results (accuracy: 85.7%, specificity: 86.6%, sensitivity: 84.9%, area under the receiver-operator characteristic curve: 0.95). The top 50 features (genes) of the algorithm were analyzed using bioinformatics resources for new insights about the pathophysiology of SCZ. This manuscript presents a novel predictor which could potentially enable studies exploring disease-modifying intervention in the early stages of the disease.
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Affiliation(s)
- Yannis J Trakadis
- Department of Human Genetics, McGill University, Montreal, Québec, Canada
| | - Sameer Sardaar
- Department of Human Genetics, McGill University, Montreal, Québec, Canada
| | - Anthony Chen
- Department of Human Genetics, McGill University, Montreal, Québec, Canada
| | - Vanessa Fulginiti
- Department of Human Genetics, McGill University, Montreal, Québec, Canada
| | - Ankur Krishnan
- Department of Human Genetics, McGill University, Montreal, Québec, Canada
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8
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Joseph J, Kremen WS, Franz CE, Glatt SJ, van de Leemput J, Chandler SD, Tsuang MT, Twamley EW. Predictors of current functioning and functional decline in schizophrenia. Schizophr Res 2017; 188:158-164. [PMID: 28139356 PMCID: PMC5529271 DOI: 10.1016/j.schres.2017.01.038] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Revised: 01/20/2017] [Accepted: 01/23/2017] [Indexed: 12/19/2022]
Abstract
Positive, negative, and cognitive symptoms of schizophrenia may affect functional outcomes. However, these factors alone do not account for a large percentage of variance in outcomes. We investigated demographic, cognitive, symptom, and functional capacity predictors of current functional status in 280 outpatients with schizophrenia or schizoaffective disorder. Functional decline over the lifespan was also examined in a subset of participants. Stepwise regressions modeled predictors of current functional status and functional decline as measured by the Assessment of Lifespan Functioning Attainment (ALFA). ALFA functional domains included paid employment, independence in living situation, romantic relationships, close friendships, and recreational engagement. More severe depressive symptoms were consistently associated with worse current community integration (lower levels of close friendships and recreational engagement). Better working memory performance was associated with higher rates of current paid employment. There were no consistent modifiable predictors of decline in functioning, but women reported less functional decline in the domains of employment and close friendships than men. Better cognitive performance was associated with less decline in living independence and romantic relationships, but more decline in paid employment and recreational engagement. Increased assessment and treatment of comorbid depressive symptoms may improve functional outcomes in people with schizophrenia.
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Affiliation(s)
- Jamie Joseph
- Center for Behavioral Genomics, Department of Psychiatry, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093, USA
| | - William S Kremen
- Center for Behavioral Genomics, Department of Psychiatry, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, USA
| | - Carol E Franz
- Center for Behavioral Genomics, Department of Psychiatry, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093, USA
| | - Stephen J Glatt
- Psychiatric Genetic Epidemiology & Neurobiology Laboratory, Department of Psychiatry, SUNY Upstate Medical University, 750 East Adams Street, 3710 Neuroscience Research Building, Syracuse, NY 13210, USA
| | - Joyce van de Leemput
- Center for Behavioral Genomics, Department of Psychiatry, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093, USA
| | - Sharon D Chandler
- Center for Behavioral Genomics, Department of Psychiatry, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093, USA
| | - Ming T Tsuang
- Center for Behavioral Genomics, Department of Psychiatry, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, USA; Institute for Genomic Medicine, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093, USA
| | - Elizabeth W Twamley
- Center for Behavioral Genomics, Department of Psychiatry, School of Medicine, University of California, San Diego, 9500 Gilman Drive, San Diego, CA 92093, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, USA.
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Chen F, Moran JT, Zhang Y, Ates KM, Yu D, Schrader LA, Das PM, Jones FE, Hall BJ. The transcription factor NeuroD2 coordinates synaptic innervation and cell intrinsic properties to control excitability of cortical pyramidal neurons. J Physiol 2017; 594:3729-44. [PMID: 27146976 DOI: 10.1113/jp271953] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 04/13/2016] [Indexed: 12/22/2022] Open
Abstract
KEY POINTS Synaptic excitation and inhibition must be properly balanced in individual neurons and neuronal networks to allow proper brain function. Disrupting this balance may lead to autism spectral disorders and epilepsy. We show the basic helix-loop-helix transcription factor NeuroD2 promotes inhibitory synaptic drive but also decreases cell-intrinsic neuronal excitability of cortical pyramidal neurons both in vitro and in vivo. We identify two genes potentially downstream of NeuroD2-mediated transcription that regulate these parameters: gastrin-releasing peptide and the small conductance, calcium-activated potassium channel, SK2. Our results reveal an important function for NeuroD2 in balancing synaptic neurotransmission and intrinsic excitability. Our results offer insight into how synaptic innervation and intrinsic excitability are coordinated during cortical development. ABSTRACT Synaptic excitation and inhibition must be properly balanced in individual neurons and neuronal networks for proper brain function. Disruption of this balance during development may lead to autism spectral disorders and epilepsy. Synaptic excitation is counterbalanced by synaptic inhibition but also by attenuation of cell-intrinsic neuronal excitability. To maintain proper excitation levels during development, neurons must sense activity over time and regulate the expression of genes that control these parameters. While this is a critical process, little is known about the transcription factors involved in coordinating gene expression to control excitatory/inhibitory synaptic balance. We show here that the basic helix-loop-helix transcription factor NeuroD2 promotes inhibitory synaptic drive but also decreases cell-intrinsic neuronal excitability of cortical pyramidal neurons both in vitro and in vivo as shown by ex vivo analysis of a NeuroD2 knockout mouse. Using microarray analysis and comparing wild-type and NeuroD2 knockout cortical networks, we identified two potential gene targets of NeuroD2 that contribute to these processes: gastrin-releasing peptide (GRP) and the small conductance, calcium-activated potassium channel, SK2. We found that the GRP receptor antagonist RC-3059 and the SK2 specific blocker apamin partially reversed the effects of increased NeuroD2 expression on inhibitory synaptic drive and action potential repolarization, respectively. Our results reveal an important function for NeuroD2 in balancing synaptic neurotransmission and intrinsic excitability and offer insight into how these processes are coordinated during cortical development.
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Affiliation(s)
- Fading Chen
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - Jacqueline T Moran
- The Neuroscience Program, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - Yihui Zhang
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - Kristin M Ates
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA.,The Neuroscience Program, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - Diankun Yu
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - Laura A Schrader
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA.,The Neuroscience Program, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - Partha M Das
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - Frank E Jones
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - Benjamin J Hall
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA.,The Neuroscience Program, School of Science and Engineering, Tulane University, New Orleans, LA, 70118, USA.,Neuroscience, Ophthalmology and Rare Diseases, F. Hoffmann-La Roche, Basel Innovation Centre, Basel, 4070, Switzerland
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10
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Lachen-Montes M, Zelaya MV, Segura V, Fernández-Irigoyen J, Santamaría E. Progressive modulation of the human olfactory bulb transcriptome during Alzheimer´s disease evolution: novel insights into the olfactory signaling across proteinopathies. Oncotarget 2017; 8:69663-69679. [PMID: 29050232 PMCID: PMC5642507 DOI: 10.18632/oncotarget.18193] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2017] [Accepted: 05/07/2017] [Indexed: 01/01/2023] Open
Abstract
Alzheimer´s disease (AD) is characterized by progressive dementia, initially presenting olfactory dysfunction. Despite the olfactory bulb (OB) is the first central structure of the olfactory pathway, we lack a complete molecular characterization of the transcriptional events that occurs in this olfactory area during AD progression. To address this gap in knowledge, we have assessed the genome-wide expression in postmortem OBs from subjects with varying degree of AD pathology. A stage-dependent deregulation of specific pathways was observed, revealing transmembrane transport, and neuroinflammation as part of the functional modules that are disrupted across AD grading. Potential drivers of neurodegeneration predicted by network-driven transcriptomics were monitored across different types of dementia, including progressive supranuclear palsy (PSP), mixed dementia, and frontotemporal lobar degeneration (FTLD). Epidermal growth factor receptor (EGFR) expression was significantly increased in the OB of AD and mixed dementia subjects. Moreover, a significant increment in the activation of signal transducer and activator of transcription 3 (STAT3) was exclusively detected in advanced AD stages, whereas total STAT3 levels were specifically overexpressed in mixed dementia. Furthermore, transcription factors deregulated in the OB of mixed dementia subjects such as cAMP Responsive Element Binding Protein 1 (CREB1) and AP-1 Transcription Factor Subunit (c-Jun) were not differentially modulated at olfactory level across AD grading. On the other hand, olfactory expression of this signal transducer panel was unchanged in PSP and FTLD subjects. Taken together, this study unveils cross-disease similarities and differences for specific signal transducers, providing mechanistic clues to the intriguing divergence of AD pathology across proteinopathies.
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Affiliation(s)
- Mercedes Lachen-Montes
- Clinical Neuroproteomics Group, Navarrabiomed, Departamento de Salud, Universidad Pública de Navarra, Pamplona, Spain.,IDISNA, Navarra Institute for Health Research, Pamplona, Spain
| | - María Victoria Zelaya
- Clinical Neuroproteomics Group, Navarrabiomed, Departamento de Salud, Universidad Pública de Navarra, Pamplona, Spain.,IDISNA, Navarra Institute for Health Research, Pamplona, Spain.,Pathological Anatomy Department, Navarra Hospital Complex, Pamplona, Spain
| | - Víctor Segura
- IDISNA, Navarra Institute for Health Research, Pamplona, Spain.,Bioinformatics Unit, Center for Applied Medical Research, University of Navarra, Pamplona, Spain
| | - Joaquín Fernández-Irigoyen
- Clinical Neuroproteomics Group, Navarrabiomed, Departamento de Salud, Universidad Pública de Navarra, Pamplona, Spain.,IDISNA, Navarra Institute for Health Research, Pamplona, Spain.,Proteored-ISCIII, Proteomics Unit, Navarrabiomed, Departamento de Salud, Universidad Pública de Navarra, Pamplona, Spain
| | - Enrique Santamaría
- Clinical Neuroproteomics Group, Navarrabiomed, Departamento de Salud, Universidad Pública de Navarra, Pamplona, Spain.,IDISNA, Navarra Institute for Health Research, Pamplona, Spain.,Proteored-ISCIII, Proteomics Unit, Navarrabiomed, Departamento de Salud, Universidad Pública de Navarra, Pamplona, Spain
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Matsumoto M, Walton NM, Yamada H, Kondo Y, Marek GJ, Tajinda K. The impact of genetics on future drug discovery in schizophrenia. Expert Opin Drug Discov 2017; 12:673-686. [PMID: 28521526 DOI: 10.1080/17460441.2017.1324419] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Failures of investigational new drugs (INDs) for schizophrenia have left huge unmet medical needs for patients. Given the recent lackluster results, it is imperative that new drug discovery approaches (and resultant drug candidates) target pathophysiological alterations that are shared in specific, stratified patient populations that are selected based on pre-identified biological signatures. One path to implementing this paradigm is achievable by leveraging recent advances in genetic information and technologies. Genome-wide exome sequencing and meta-analysis of single nucleotide polymorphism (SNP)-based association studies have already revealed rare deleterious variants and SNPs in patient populations. Areas covered: Herein, the authors review the impact that genetics have on the future of schizophrenia drug discovery. The high polygenicity of schizophrenia strongly indicates that this disease is biologically heterogeneous so the identification of unique subgroups (by patient stratification) is becoming increasingly necessary for future investigational new drugs. Expert opinion: The authors propose a pathophysiology-based stratification of genetically-defined subgroups that share deficits in particular biological pathways. Existing tools, including lower-cost genomic sequencing and advanced gene-editing technology render this strategy ever more feasible. Genetically complex psychiatric disorders such as schizophrenia may also benefit from synergistic research with simpler monogenic disorders that share perturbations in similar biological pathways.
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Affiliation(s)
- Mitsuyuki Matsumoto
- a Unit 2, Candidate Discovery Science Labs., Drug Discovery Research , Astellas Pharma Inc. , Tsukuba , Ibaraki , Japan
| | - Noah M Walton
- b La Jolla Laboratory , Astellas Research Institute of America LLC , San Diego , CA , USA
| | - Hiroshi Yamada
- b La Jolla Laboratory , Astellas Research Institute of America LLC , San Diego , CA , USA
| | - Yuji Kondo
- a Unit 2, Candidate Discovery Science Labs., Drug Discovery Research , Astellas Pharma Inc. , Tsukuba , Ibaraki , Japan
| | - Gerard J Marek
- c Development Medical Sciences, Astellas Pharma Global Development , Northbrook , IL , USA
| | - Katsunori Tajinda
- b La Jolla Laboratory , Astellas Research Institute of America LLC , San Diego , CA , USA
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12
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Yang J, Yao Y, Wang L, Yang C, Wang F, Guo J, Wang Z, Yang Z, Ming D. Gastrin-releasing peptide facilitates glutamatergic transmission in the hippocampus and effectively prevents vascular dementia induced cognitive and synaptic plasticity deficits. Exp Neurol 2016; 287:75-83. [PMID: 27539743 DOI: 10.1016/j.expneurol.2016.08.008] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Revised: 08/01/2016] [Accepted: 08/12/2016] [Indexed: 10/21/2022]
Abstract
Neuronal gastrin-releasing peptide (GRP) has been proved to be an important neuromodulator in the brain and involved in a variety of neurological diseases. Whether GRP could attenuate cognition impairment induced by vascular dementia (VD) in rats, and the mechanism of synaptic plasticity and GRP's action on synaptic efficiency are still poorly understood. In this study, we first investigated the effects of GRP on glutamatergic transmission with patch-clamp recording. We found that acute application of GRP enhanced the excitatory synaptic transmission in hippocampal CA1 neurons via GRPR in a presynaptic mechanism. Secondly, we examined whether exogenous GRP or its analogue neuromedin B (NMB) could prevent VD-induced cognitive deficits and the mechanism of synaptic plasticity. By using Morris water maze, long-term potentiation (LTP) recording, western blot assay and immunofluorescent staining, we verified for the first time that GRP or NMB substantially improved the spatial learning and memory abilities in VD rats, restored the impaired synaptic plasticity and was able to elevate the expression of synaptic proteins, synaptophysin (SYP) and CaMKII, which play pivotal roles in synaptic plasticity. These results suggest that the facilitatory effects of GRP on glutamate release may contribute to its long-term action on synaptic efficacy which is essential in cognitive function. Our findings present a new entry point for a better understanding of physiological function of GRP and raise the possibility that GRPR agonists might ameliorate cognitive deficits associated with neurological diseases.
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Affiliation(s)
- Jiajia Yang
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, PR China
| | - Yang Yao
- Department of Neurology, Tianjin First Center Hospital, Tianjin 300192, PR China
| | - Ling Wang
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, PR China
| | - Chunxiao Yang
- School of Medicine, Nankai University, Tianjin 300071, PR China
| | - Faqi Wang
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, PR China
| | - Jie Guo
- Department of Neurology, Tianjin First Center Hospital, Tianjin 300192, PR China
| | - Zhiyun Wang
- Department of Neurology, Tianjin First Center Hospital, Tianjin 300192, PR China
| | - Zhuo Yang
- School of Medicine, Nankai University, Tianjin 300071, PR China.
| | - Dong Ming
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, PR China.
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13
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Cittaro D, Lampis V, Luchetti A, Coccurello R, Guffanti A, Felsani A, Moles A, Stupka E, D' Amato FR, Battaglia M. Histone Modifications in a Mouse Model of Early Adversities and Panic Disorder: Role for Asic1 and Neurodevelopmental Genes. Sci Rep 2016; 6:25131. [PMID: 27121911 PMCID: PMC4848503 DOI: 10.1038/srep25131] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Accepted: 04/12/2016] [Indexed: 11/20/2022] Open
Abstract
Hyperventilation following transient, CO2-induced acidosis is ubiquitous in mammals and heritable. In humans, respiratory and emotional hypersensitivity to CO2 marks separation anxiety and panic disorders, and is enhanced by early-life adversities. Mice exposed to the repeated cross-fostering paradigm (RCF) of interference with maternal environment show heightened separation anxiety and hyperventilation to 6% CO2-enriched air. Gene-environment interactions affect CO2 hypersensitivity in both humans and mice. We therefore hypothesised that epigenetic modifications and increased expression of genes involved in pH-detection could explain these relationships. Medullae oblongata of RCF- and normally-reared female outbred mice were assessed by ChIP-seq for H3Ac, H3K4me3, H3K27me3 histone modifications, and by SAGE for differential gene expression. Integration of multiple experiments by network analysis revealed an active component of 148 genes pointing to the mTOR signalling pathway and nociception. Among these genes, Asic1 showed heightened mRNA expression, coherent with RCF-mice’s respiratory hypersensitivity to CO2 and altered nociception. Functional enrichment and mRNA transcript analyses yielded a consistent picture of enhancement for several genes affecting chemoception, neurodevelopment, and emotionality. Particularly, results with Asic1 support recent human findings with panic and CO2 responses, and provide new perspectives on how early adversities and genes interplay to affect key components of panic and related disorders.
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Affiliation(s)
- Davide Cittaro
- Centre for Translational Genomics and Bioinformatics, San Raffaele Scientific Institute, Milan, Italy
| | - Valentina Lampis
- Developmental Psychopathology Unit, Vita-Salute San Raffaele University, Milan, Italy
| | - Alessandra Luchetti
- Institute of Cell Biology and Neurobiology, National Research Council/Fondazione Santa Lucia, Rome, Italy
| | - Roberto Coccurello
- Institute of Cell Biology and Neurobiology, National Research Council/Fondazione Santa Lucia, Rome, Italy
| | - Alessandro Guffanti
- Laboratory of Molecular Neuroscience, Department of Biological Chemistry, The Edmond and Lily Safra Center of Brain Science, The Hebrew University of Jerusalem, Jerusalem, Israel.,Genomnia srl, Lainate, Italy
| | - Armando Felsani
- Institute of Cell Biology and Neurobiology, National Research Council/Fondazione Santa Lucia, Rome, Italy.,Genomnia srl, Lainate, Italy
| | - Anna Moles
- Institute of Cell Biology and Neurobiology, National Research Council/Fondazione Santa Lucia, Rome, Italy.,Genomnia srl, Lainate, Italy
| | - Elia Stupka
- Centre for Translational Genomics and Bioinformatics, San Raffaele Scientific Institute, Milan, Italy
| | - Francesca R D' Amato
- Institute of Cell Biology and Neurobiology, National Research Council/Fondazione Santa Lucia, Rome, Italy
| | - Marco Battaglia
- Department of Psychiatry, University Of Toronto, Toronto, Canada.,Division of Child and Youth Mental Health, Centre for Addiction and Mental Health, Toronto, Canada
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14
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Thélie A, Desiderio S, Hanotel J, Quigley I, Van Driessche B, Rodari A, Borromeo MD, Kricha S, Lahaye F, Croce J, Cerda-Moya G, Ordoño Fernandez J, Bolle B, Lewis KE, Sander M, Pierani A, Schubert M, Johnson JE, Kintner CR, Pieler T, Van Lint C, Henningfeld KA, Bellefroid EJ, Van Campenhout C. Prdm12 specifies V1 interneurons through cross-repressive interactions with Dbx1 and Nkx6 genes in Xenopus. Development 2016; 142:3416-28. [PMID: 26443638 DOI: 10.1242/dev.121871] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
V1 interneurons are inhibitory neurons that play an essential role in vertebrate locomotion. The molecular mechanisms underlying their genesis remain, however, largely undefined. Here, we show that the transcription factor Prdm12 is selectively expressed in p1 progenitors of the hindbrain and spinal cord in the frog embryo, and that a similar restricted expression profile is observed in the nerve cord of other vertebrates as well as of the cephalochordate amphioxus. Using frog, chick and mice, we analyzed the regulation of Prdm12 and found that its expression in the caudal neural tube is dependent on retinoic acid and Pax6, and that it is restricted to p1 progenitors, due to the repressive action of Dbx1 and Nkx6-1/2 expressed in the adjacent p0 and p2 domains. Functional studies in the frog, including genome-wide identification of its targets by RNA-seq and ChIP-Seq, reveal that vertebrate Prdm12 proteins act as a general determinant of V1 cell fate, at least in part, by directly repressing Dbx1 and Nkx6 genes. This probably occurs by recruiting the methyltransferase G9a, an activity that is not displayed by the amphioxus Prdm12 protein. Together, these findings indicate that Prdm12 promotes V1 interneurons through cross-repressive interactions with Dbx1 and Nkx6 genes, and suggest that this function might have only been acquired after the split of the vertebrate and cephalochordate lineages.
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Affiliation(s)
- Aurore Thélie
- Laboratory of Developmental Genetics, Université Libre de Bruxelles (ULB), Institute of Molecular Biology and Medecine (IBMM) and ULB Neuroscience Institute, Gosselies B-6041, Belgium
| | - Simon Desiderio
- Laboratory of Developmental Genetics, Université Libre de Bruxelles (ULB), Institute of Molecular Biology and Medecine (IBMM) and ULB Neuroscience Institute, Gosselies B-6041, Belgium
| | - Julie Hanotel
- Laboratory of Developmental Genetics, Université Libre de Bruxelles (ULB), Institute of Molecular Biology and Medecine (IBMM) and ULB Neuroscience Institute, Gosselies B-6041, Belgium
| | - Ian Quigley
- Molecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | | | - Anthony Rodari
- Laboratory of Molecular Virology, ULB, IBMM, Gosselies B-6041, Belgium
| | - Mark D Borromeo
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Sadia Kricha
- Laboratory of Developmental Genetics, Université Libre de Bruxelles (ULB), Institute of Molecular Biology and Medecine (IBMM) and ULB Neuroscience Institute, Gosselies B-6041, Belgium
| | - François Lahaye
- Sorbonne Universités, UPMC Université Paris 06, CNRS UMR 7009, Laboratoire de Biologie du Développement de Villefranche-sur-Mer (UMR 7009), Observatoire Océanologique de Villefranche-sur-Mer, Villefranche-sur-Mer 06230, France
| | - Jenifer Croce
- Sorbonne Universités, UPMC Université Paris 06, CNRS UMR 7009, Laboratoire de Biologie du Développement de Villefranche-sur-Mer (UMR 7009), Observatoire Océanologique de Villefranche-sur-Mer, Villefranche-sur-Mer 06230, France
| | - Gustavo Cerda-Moya
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge CB2 3EG, UK
| | - Jesús Ordoño Fernandez
- Laboratory of Developmental Genetics, Université Libre de Bruxelles (ULB), Institute of Molecular Biology and Medecine (IBMM) and ULB Neuroscience Institute, Gosselies B-6041, Belgium
| | - Barbara Bolle
- Laboratory of Developmental Genetics, Université Libre de Bruxelles (ULB), Institute of Molecular Biology and Medecine (IBMM) and ULB Neuroscience Institute, Gosselies B-6041, Belgium
| | - Katharine E Lewis
- Department of Biology, Syracuse University, 107 College Place, Syracuse, NY 13244, USA
| | - Maike Sander
- Departments of Pediatrics and Cellular and Molecular Medicine, Pediatric Diabetes Research Center, University of California, San Diego, La Jolla, CA 92093-0695, USA
| | - Alessandra Pierani
- Génétique et développement du cortex cerebral, Institut Jacques Monod, CNRS UMR 7592, Université Paris Diderot, Sorbonne Paris Cité, Paris Cedex 13 75205, France
| | - Michael Schubert
- Sorbonne Universités, UPMC Université Paris 06, CNRS UMR 7009, Laboratoire de Biologie du Développement de Villefranche-sur-Mer (UMR 7009), Observatoire Océanologique de Villefranche-sur-Mer, Villefranche-sur-Mer 06230, France
| | - Jane E Johnson
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Christopher R Kintner
- Molecular Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Tomas Pieler
- Department of Developmental Biochemistry, Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), University of Göttingen, 37077 Göttingen, Germany
| | - Carine Van Lint
- Laboratory of Molecular Virology, ULB, IBMM, Gosselies B-6041, Belgium
| | - Kristine A Henningfeld
- Department of Developmental Biochemistry, Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), University of Göttingen, 37077 Göttingen, Germany
| | - Eric J Bellefroid
- Laboratory of Developmental Genetics, Université Libre de Bruxelles (ULB), Institute of Molecular Biology and Medecine (IBMM) and ULB Neuroscience Institute, Gosselies B-6041, Belgium
| | - Claude Van Campenhout
- Laboratory of Developmental Genetics, Université Libre de Bruxelles (ULB), Institute of Molecular Biology and Medecine (IBMM) and ULB Neuroscience Institute, Gosselies B-6041, Belgium
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15
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Common Polymorphisms Within QPCT Gene Are Associated with the Susceptibility of Schizophrenia in a Han Chinese Population. Mol Neurobiol 2015; 53:6362-6366. [DOI: 10.1007/s12035-015-9541-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 11/11/2015] [Indexed: 01/09/2023]
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