151 results on '"Marquis, P."'
Search Results
2. PCR144 Mosaic: A Qualitative Study of the Humanistic and Financial Burden on Unpaid Caregivers of Patients with Geographic Atrophy (GA)
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Amoaku, W, primary, Altman, D, additional, Sarda, SP, additional, Lui, B, additional, Carpenter-Conlin, J, additional, Marquis, P, additional, Rams, A, additional, Desgraz, R, additional, Lovell, T, additional, Jones, DL, additional, and Nielsen, JS, additional
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- 2022
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3. PCR179 Development of a Conceptual Model of the Patient Experience in Small Cell Lung Cancer (SCLC): A Qualitative Interview Study
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Altman, D, primary, Fu, AC, additional, Marquis, P, additional, Rams, A, additional, Baldasaro, J, additional, Ali, Ahmad S, additional, Schlichting, M, additional, and Zhang, X, additional
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- 2022
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4. PCR153 Navigating Barriers to Patient Participation in Qualitative Interviews from International Clinical Trials in Biliary Tract Cancer (BTC)
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Reese, ES, primary, Ciesluk, A, additional, Marquis, P, additional, Bachini, M, additional, and Bobiak, S, additional
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- 2022
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5. PCR151 A Patient-Focused Approach to Understand Unmet Needs in Non-Metastatic Cutaneous Squamous Cell Carcinoma (CSCC)
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Rofail, D, primary, Chen, CI, additional, Ciesluk, A, additional, Lovell, T, additional, Fury, M, additional, and Marquis, P, additional
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- 2022
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6. Homer1a Undergoes Bimodal Transcriptional Regulation by CREB and the Circadian Clock
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Shogo Sato, William E. Bunney, Marquis P. Vawter, Blynn G. Bunney, and Paolo Sassone-Corsi
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0301 basic medicine ,Regulation of gene expression ,General Neuroscience ,Circadian clock ,HOMER1 ,ARNTL Transcription Factors ,CLOCK Proteins ,Biology ,CREB ,Circadian Rhythm ,Cell biology ,Mice ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Gene Expression Regulation ,Circadian Clocks ,Transcriptional regulation ,biology.protein ,Animals ,Circadian rhythm ,Transcription factor ,Immediate early gene ,030217 neurology & neurosurgery - Abstract
Accumulating evidence points to a significant link between disrupted circadian rhythms and neuronal disfunctions, though the molecular mechanisms underlying this connection are virtually unexplored. The transcript Homer1a, an immediate early gene related to postsynaptic signaling, has been demonstrated to exhibit robust circadian oscillation in the brain, which supports the hypothesis that Homer1a mediates the communication between circadian inputs and neuronal activity. Here, we determined how the circadian clock is implicated in Homer1a gene regulation by using circadian clock Bmal1-mutant mice either in the presence or absence of stress stimulation. The Homer1 gene generates multiple transcripts, but only the short variant Homer1a responds to acute stress with sleep deprivation (SD) in mice. Chromatin immunoprecipitation assays revealed that both transcription factor CREB and the circadian clock component BMAL1 bind to the Homer1 promoter in mouse brain. Importantly, circadian Homer1a gene expression is unaltered in the absence of BMAL1, while its immediate early response to SD relies on BMAL1. Deletion of Bmal1 results in attenuated CREB activity in mouse brain, which appears to contribute to decreased expression of Homer1a in response to SD. In conclusion, Homer1a undergoes bimodal control by the circadian clock and CREB.
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- 2020
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7. Psychiatric drugs impact mitochondrial function in brain and other tissues
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Michael McCarthy, Shawna T. Chan, and Marquis P. Vawter
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Mitochondrial DNA ,medicine.medical_treatment ,Mitochondrion ,Pharmacology ,Medical and Health Sciences ,Article ,Antipsychotic drug ,03 medical and health sciences ,0302 clinical medicine ,Humans ,Medicine ,Psychiatric drugs ,Antipsychotic ,Biological Psychiatry ,Psychiatry ,Membrane potential ,business.industry ,musculoskeletal, neural, and ocular physiology ,Psychology and Cognitive Sciences ,Mitochondria function ,Neurosciences ,Brain ,Antidepressant drug ,Serious Mental Illness ,medicine.disease ,Metabolic syndrome ,Pathophysiology ,Brain Disorders ,Mitochondria ,030227 psychiatry ,Psychiatry and Mental health ,Mental Health ,Pharmaceutical Preparations ,5.1 Pharmaceuticals ,Schizophrenia ,cardiovascular system ,Development of treatments and therapeutic interventions ,business ,030217 neurology & neurosurgery ,Function (biology) ,Antipsychotic Agents ,circulatory and respiratory physiology - Abstract
Mitochondria have been linked to the etiology of schizophrenia (SZ). However, studies of mitochondria in SZ might be confounded by the effects of pharmacological treatment with antipsychotic drugs (APDs) and other common medications. This review summarizes findings on relevant mitochondria mechanisms underlying SZ, and the potential impact of psychoactive drugs including primarily APDs, but also antidepressants and anxiolytics. The summarized data suggest that APDs impair mitochondria function by decreasing Complex I activity and ATP production and dissipation of the mitochondria membrane potential. At the same time, in the brains of patients with SZ, antipsychotic drug treatment normalizes gene expression modules enriched in mitochondrial genes that are decreased in SZ. This indicates that APDs may have both positive and negative effects on mitochondria. The available evidence suggests three conclusions i) alterations in mitochondria functions in SZ exist prior to APD treatment, ii) mitochondria alterations in SZ can be reversed by APD treatment, and iii) APDs directly cause impairment of mitochondria function. Overall, the mechanisms of action of psychiatric drugs on mitochondria are both direct and indirect; we conclude the effects of APDs on mitochondria may contribute to both their therapeutic and metabolic side effects. These studies support the hypothesis that neuronal mitochondria are an etiological factor in SZ. Moreover, APDs and other drugs must be considered in the evaluation of this pathophysiological role of mitochondria in SZ. Considering these effects, pharmacological actions on mitochondria may be a worthwhile target for further APD development.
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- 2020
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8. PCN220 Conceptual Framework of Symptoms and Impacts Experienced By Patients with Nut Carcinoma
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Pompilus, F., primary, Voorhaar, M., additional, Griebsch, I., additional, Levine, A., additional, Ciesluk, A., additional, Baldasaro, J., additional, Crews, C., additional, and Marquis, P., additional
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- 2021
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9. A Comprehensive Analysis of Nuclear-Encoded Mitochondrial Genes in Schizophrenia
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Carolina Cappi, Patrick F. Sullivan, Jonas Bybjerg-Grauholm, James L. Kennedy, Marquis P. Vawter, Christian M. Hagen, Ari B. Cuperfain, Clement C. Zai, Andriy Derkach, Vanessa F. Gonçalves, Lei Sun, Adolfo Sequeira, Michael Christiansen, Jennie G. Pouget, and Paula L. Hedley
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Adult ,Male ,0301 basic medicine ,Stratified FDR ,Mitochondrial DNA ,GWAS-HD ,Adolescent ,Genomics ,Oxidative phosphorylation ,Mitochondrion ,Biology ,Article ,Young Adult ,03 medical and health sciences ,MAGMA ,Humans ,Genetic Predisposition to Disease ,Genetic risk ,Gene-gene interaction ,Gene ,Biological Psychiatry ,Aged ,Genetic association ,Genetics ,Middle Aged ,Control subjects ,Mitochondria ,Genes, Mitochondrial ,030104 developmental biology ,Schizophrenia ,Female ,Genome-Wide Association Study - Abstract
BACKGROUND: The genetic risk factors of schizophrenia (SCZ), a severe psychiatric disorder, are not yet fully understood. Multiple lines of evidence suggest mitochondrial dysfunction may play a role in SCZ, but comprehensive association studies are lacking. We hypothesized that variants in nuclear-encoded mitochondrial genes influence susceptibility to SCZ. METHODS: We conducted gene-based and gene-set analyses using summary association results from the Schizophrenia Psychiatric Genomics Consortium GWAS (PGC-SCZ2) comprising 35,476 cases and 46,839 controls. We applied the MAGMA method to three sets of nuclear-encoded mitochondrial genes: oxidative phosphorylation genes, other nuclear-encoded mitochondrial genes, and genes involved in nucleus-mitochondria crosstalk. Furthermore, we conducted a replication study using the iPSYCH SCZ sample of 2,290 cases and 21,621 controls. RESULTS: In the PGC-SCZ2 sample, 1,186 mitochondrial genes were analyzed among which 159 had p-values
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- 2018
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10. Homer1a Undergoes Bimodal Transcriptional Regulation by CREB and the Circadian Clock
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Sato, Shogo, primary, Bunney, Blynn G., additional, Vawter, Marquis P., additional, Bunney, William E., additional, and Sassone-Corsi, Paolo, additional
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- 2020
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11. Psychiatric drugs impact mitochondrial function in brain and other tissues
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Chan, Shawna T., primary, McCarthy, Michael J., additional, and Vawter, Marquis P., additional
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- 2020
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12. A Circadian Genomic Signature Common to Ketamine and Sleep Deprivation in the Anterior Cingulate Cortex
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Paolo Sassone-Corsi, Marquis P. Vawter, Ricardo Orozco-Solis, Emilie Montellier, Lorena Aguilar-Arnal, William E. Bunney, Shogo Sato, and Blynn G. Bunney
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Male ,0301 basic medicine ,medicine.medical_specialty ,Candidate gene ,Circadian clock ,Gene Expression ,Bioinformatics ,Gyrus Cinguli ,Article ,Anterior cingulate cortex ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Animals ,Circadian rhythm ,Biological Psychiatry ,Depressive Disorder ,Depression ,Circadian Rhythm Signaling Peptides and Proteins ,Computational Biology ,Microarray Analysis ,medicine.disease ,Antidepressive Agents ,Mice, Inbred C57BL ,CLOCK ,PER2 ,Sleep deprivation ,Disease Models, Animal ,030104 developmental biology ,Endocrinology ,Sleep Deprivation ,Major depressive disorder ,Antidepressant ,Ketamine ,medicine.symptom ,Transcriptome ,Psychology ,030217 neurology & neurosurgery - Abstract
Background Conventional antidepressants usually require several weeks to achieve a full clinical response in patients with major depressive disorder, an illness associated with dysregulated circadian rhythms and a high incidence of suicidality. Two rapid-acting antidepressant strategies, low-dose ketamine (KT) and sleep deprivation (SD) therapies, dramatically reduce depressive symptoms within 24 hours in a subset of major depressive disorder patients. However, it is unknown whether they exert their actions through shared regulatory mechanisms. To address this question, we performed comparative transcriptomics analyses to identify candidate genes and relevant pathways common to KT and SD. Methods We used the forced swim test, a standardized behavioral approach to measure antidepressant-like activity of KT and SD. We investigated gene expression changes using high-density microarrays and pathway analyses (Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Gene Set Enrichment Analysis) in KT- and SD-treated mice compared with saline-treated control male mice. Results We show that KT and SD elicit common transcriptional responses implicating distinct elements of the circadian clock and processes involved in neuronal plasticity. There is an overlap of 64 genes whose expression is common in KT and SD. Specifically, there is downregulation of clock genes including Ciart, Per2, Npas4, Dbp, and Rorb in both KT- and SD-treated mice. Conclusions We demonstrate a potential involvement of the circadian clock in rapid antidepressant responses. These findings could open new research avenues to help design chronopharmacological strategies to treat major depressive disorder.
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- 2017
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13. Patterns of cilia gene dysregulations in major psychiatric disorders
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Pierre Baldi, Brianna Robbins, Anton Schulmann, Wedad Alhassen, Surya M. Nauli, Henry Nguyen, Marquis P. Vawter, Thant Myint, Yumiko Saito, Olivier Civelli, Siwei Chen, and Amal Alachkar
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medicine.medical_specialty ,Bipolar disorder ,Autism ,Intellectual and Developmental Disabilities (IDD) ,Clinical Sciences ,Biology ,Medical and Health Sciences ,Ciliopathies ,Article ,Databases ,03 medical and health sciences ,0302 clinical medicine ,Genetic ,2.3 Psychological ,Databases, Genetic ,Genetics ,medicine ,Humans ,2.1 Biological and endogenous factors ,Cilia ,Aetiology ,Psychiatry ,Gene ,Biological Psychiatry ,Compartments ,Pharmacology ,Depression ,Gene Expression Profiling ,Mental Disorders ,Cilium ,Psychology and Cognitive Sciences ,DEGs ,Neurosciences ,Brain ,Serious Mental Illness ,medicine.disease ,Brain Disorders ,030227 psychiatry ,Mental Health ,Gene Expression Regulation ,Autism spectrum disorder ,Schizophrenia ,Major depressive disorder ,social and economic factors - Abstract
Primary cilia function as cells' antennas to detect and transduce external stimuli and play crucial roles in cell signaling and communication. The vast majority of cilia genes that are causally linked with ciliopathies are also associated with neurological deficits, such as cognitive impairments. Yet, the roles of cilia dysfunctions in the pathogenesis of psychiatric disorders have not been studied. Our aim is to identify patterns of cilia gene dysregulation in the four major psychiatric disorders: schizophrenia (SCZ), autism spectrum disorder (ASD), bipolar disorder (BP), and major depressive disorder (MDD). For this purpose, we acquired differentially expressed genes (DEGs) from the largest and most recent publicly available databases. We found that 42%, 24%, 17%, and 15% of brain-expressed cilia genes were significantly differentially expressed in SCZ, ASD, BP, and MDD, respectively. Several genes exhibited cross-disorder overlap, suggesting that typical cilia signaling pathways' dysfunctions determine susceptibility to more than one psychiatric disorder or may partially underlie their pathophysiology. Our study revealed that genes encoding proteins of almost all sub-cilia structural and functional compartments were dysregulated in the four psychiatric disorders. Strikingly, the genes of 75% of cilia GPCRs and 50% of the transition zone proteins were differentially expressed in SCZ. The present study is the first to draw associations between cilia and major psychiatric disorders, and is the first step toward understanding the role that cilia components play in their pathophysiological processes, which may lead to novel therapeutic targets for these disorders.
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- 2021
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14. Targets of polyamine dysregulation in major depression and suicide: Activity-dependent feedback, excitability, and neurotransmission
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Brooke E. Hjelm, Firoza Mamdani, Agenor Limon, Marquis P. Vawter, and Adolfo Sequeira
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0301 basic medicine ,Cognitive Neuroscience ,Poison control ,Context (language use) ,Neurotransmission ,Synaptic Transmission ,Article ,03 medical and health sciences ,Behavioral Neuroscience ,0302 clinical medicine ,Neurotransmitter receptor ,Polyamines ,medicine ,Humans ,Premovement neuronal activity ,Depression (differential diagnoses) ,Depressive Disorder, Major ,Brain ,medicine.disease ,Suicide ,030104 developmental biology ,Neuropsychology and Physiological Psychology ,Major depressive disorder ,Psychology ,Neuroscience ,030217 neurology & neurosurgery ,Homeostasis - Abstract
Major depressive disorder (MDD) is a leading cause of disability worldwide characterized by altered neuronal activity in brain regions involved in the control of stress and emotion. Although multiple lines of evidence suggest that altered stress-coping mechanisms underlie the etiology of MDD, the homeostatic control of neuronal excitability in MDD at the molecular level is not well established. In this review, we examine past and current evidence implicating dysregulation of the polyamine system as a central factor in the homeostatic response to stress and the etiology of MDD. We discuss the cellular effects of abnormal metabolism of polyamines in the context of their role in sensing and modulation of neuronal, electrical, and synaptic activity. Finally, we discuss evidence supporting an allostatic model of depression based on a chronic elevation in polyamine levels resulting in self-sustained stress response mechanisms maintained by maladaptive homeostatic mechanisms.
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- 2016
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15. Mitochondria and Nuclear Interactions
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Anton Schulmann and Marquis P. Vawter
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Mitochondrion ,Biological Psychiatry ,Cell biology - Published
- 2020
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16. Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders
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Lee, Phil H., primary, Anttila, Verneri, additional, Won, Hyejung, additional, Feng, Yen-Chen A., additional, Rosenthal, Jacob, additional, Zhu, Zhaozhong, additional, Tucker-Drob, Elliot M., additional, Nivard, Michel G., additional, Grotzinger, Andrew D., additional, Posthuma, Danielle, additional, Wang, Meg M.-J., additional, Yu, Dongmei, additional, Stahl, Eli A., additional, Walters, Raymond K., additional, Anney, Richard J.L., additional, Duncan, Laramie E., additional, Ge, Tian, additional, Adolfsson, Rolf, additional, Banaschewski, Tobias, additional, Belangero, Sintia, additional, Cook, Edwin H., additional, Coppola, Giovanni, additional, Derks, Eske M., additional, Hoekstra, Pieter J., additional, Kaprio, Jaakko, additional, Keski-Rahkonen, Anna, additional, Kirov, George, additional, Kranzler, Henry R., additional, Luykx, Jurjen J., additional, Rohde, Luis A., additional, Zai, Clement C., additional, Agerbo, Esben, additional, Arranz, M.J., additional, Asherson, Philip, additional, Bækvad-Hansen, Marie, additional, Baldursson, Gísli, additional, Bellgrove, Mark, additional, Belliveau, Richard A., additional, Buitelaar, Jan, additional, Burton, Christie L., additional, Bybjerg-Grauholm, Jonas, additional, Casas, Miquel, additional, Cerrato, Felecia, additional, Chambert, Kimberly, additional, Churchhouse, Claire, additional, Cormand, Bru, additional, Crosbie, Jennifer, additional, Dalsgaard, Søren, additional, Demontis, Ditte, additional, Doyle, Alysa E., additional, Dumont, Ashley, additional, Elia, Josephine, additional, Grove, Jakob, additional, Gudmundsson, Olafur O., additional, Haavik, Jan, additional, Hakonarson, Hakon, additional, Hansen, Christine S., additional, Hartman, Catharina A., additional, Hawi, Ziarih, additional, Hervás, Amaia, additional, Hougaard, David M., additional, Howrigan, Daniel P., additional, Huang, Hailiang, additional, Kuntsi, Jonna, additional, Langley, Kate, additional, Lesch, Klaus-Peter, additional, Leung, Patrick W.L., additional, Loo, Sandra K., additional, Martin, Joanna, additional, Martin, Alicia R., additional, McGough, James J., additional, Medland, Sarah E., additional, Moran, Jennifer L., additional, Mors, Ole, additional, Mortensen, Preben B., additional, Oades, Robert D., additional, Palmer, Duncan S., additional, Pedersen, Carsten B., additional, Pedersen, Marianne G., additional, Peters, Triinu, additional, Poterba, Timothy, additional, Poulsen, Jesper B., additional, Ramos-Quiroga, Josep Antoni, additional, Reif, Andreas, additional, Ribasés, Marta, additional, Rothenberger, Aribert, additional, Rovira, Paula, additional, Sánchez-Mora, Cristina, additional, Satterstrom, F. Kyle, additional, Schachar, Russell, additional, Artigas, Maria Soler, additional, Steinberg, Stacy, additional, Stefansson, Hreinn, additional, Turley, Patrick, additional, Walters, G. Bragi, additional, Werge, Thomas, additional, Zayats, Tetyana, additional, Arking, Dan E., additional, Bettella, Francesco, additional, Buxbaum, Joseph D., additional, Christensen, Jane H., additional, Collins, Ryan L., additional, Coon, Hilary, additional, De Rubeis, Silvia, additional, Delorme, Richard, additional, Grice, Dorothy E., additional, Hansen, Thomas F., additional, Holmans, Peter A., additional, Hope, Sigrun, additional, Hultman, Christina M., additional, Klei, Lambertus, additional, Ladd-Acosta, Christine, additional, Magnusson, Pall, additional, Nærland, Terje, additional, Nyegaard, Mette, additional, Pinto, Dalila, additional, Qvist, Per, additional, Rehnström, Karola, additional, Reichenberg, Abraham, additional, Reichert, Jennifer, additional, Roeder, Kathryn, additional, Rouleau, Guy A., additional, Saemundsen, Evald, additional, Sanders, Stephan J., additional, Sandin, Sven, additional, St Pourcain, Beate, additional, Stefansson, Kari, additional, Sutcliffe, James S., additional, Talkowski, Michael E., additional, Weiss, Lauren A., additional, Willsey, A. Jeremy, additional, Agartz, Ingrid, additional, Akil, Huda, additional, Albani, Diego, additional, Alda, Martin, additional, Als, Thomas D., additional, Anjorin, Adebayo, additional, Backlund, Lena, additional, Bass, Nicholas, additional, Bauer, Michael, additional, Baune, Bernhard T., additional, Bellivier, Frank, additional, Bergen, Sarah E., additional, Berrettini, Wade H., additional, Biernacka, Joanna M., additional, Blackwood, Douglas H.R., additional, Bøen, Erlend, additional, Budde, Monika, additional, Bunney, William, additional, Burmeister, Margit, additional, Byerley, William, additional, Byrne, Enda M., additional, Cichon, Sven, additional, Clarke, Toni-Kim, additional, Coleman, Jonathan R.I., additional, Craddock, Nicholas, additional, Curtis, David, additional, Czerski, Piotr M., additional, Dale, Anders M., additional, Dalkner, Nina, additional, Dannlowski, Udo, additional, Degenhardt, Franziska, additional, Di Florio, Arianna, additional, Elvsåshagen, Torbjørn, additional, Etain, Bruno, additional, Fischer, Sascha B., additional, Forstner, Andreas J., additional, Forty, Liz, additional, Frank, Josef, additional, Frye, Mark, additional, Fullerton, Janice M., additional, Gade, Katrin, additional, Gaspar, Héléna A., additional, Gershon, Elliot S., additional, Gill, Michael, additional, Goes, Fernando S., additional, Gordon, Scott D., additional, Gordon-Smith, Katherine, additional, Green, Melissa J., additional, Greenwood, Tiffany A., additional, Grigoroiu-Serbanescu, Maria, additional, Guzman-Parra, José, additional, Hauser, Joanna, additional, Hautzinger, Martin, additional, Heilbronner, Urs, additional, Herms, Stefan, additional, Hoffmann, Per, additional, Holland, Dominic, additional, Jamain, Stéphane, additional, Jones, Ian, additional, Jones, Lisa A., additional, Kandaswamy, Radhika, additional, Kelsoe, John R., additional, Kennedy, James L., additional, Joachim, Oedegaard Ketil, additional, Kittel-Schneider, Sarah, additional, Kogevinas, Manolis, additional, Koller, Anna C., additional, Lavebratt, Catharina, additional, Lewis, Cathryn M., additional, Li, Qingqin S., additional, Lissowska, Jolanta, additional, Loohuis, Loes M.O., additional, Lucae, Susanne, additional, Maaser, Anna, additional, Malt, Ulrik F., additional, Martin, Nicholas G., additional, Martinsson, Lina, additional, McElroy, Susan L., additional, McMahon, Francis J., additional, McQuillin, Andrew, additional, Melle, Ingrid, additional, Metspalu, Andres, additional, Millischer, Vincent, additional, Mitchell, Philip B., additional, Montgomery, Grant W., additional, Morken, Gunnar, additional, Morris, Derek W., additional, Müller-Myhsok, Bertram, additional, Mullins, Niamh, additional, Myers, Richard M., additional, Nievergelt, Caroline M., additional, Nordentoft, Merete, additional, Adolfsson, Annelie Nordin, additional, Nöthen, Markus M., additional, Ophoff, Roel A., additional, Owen, Michael J., additional, Paciga, Sara A., additional, Pato, Carlos N., additional, Pato, Michele T., additional, Perlis, Roy H., additional, Perry, Amy, additional, Potash, James B., additional, Reinbold, Céline S., additional, Rietschel, Marcella, additional, Rivera, Margarita, additional, Roberson, Mary, additional, Schalling, Martin, additional, Schofield, Peter R., additional, Schulze, Thomas G., additional, Scott, Laura J., additional, Serretti, Alessandro, additional, Sigurdsson, Engilbert, additional, Smeland, Olav B., additional, Stordal, Eystein, additional, Streit, Fabian, additional, Strohmaier, Jana, additional, Thorgeirsson, Thorgeir E., additional, Treutlein, Jens, additional, Turecki, Gustavo, additional, Vaaler, Arne E., additional, Vieta, Eduard, additional, Vincent, John B., additional, Wang, Yunpeng, additional, Witt, Stephanie H., additional, Zandi, Peter, additional, Adan, Roger A.H., additional, Alfredsson, Lars, additional, Ando, Tetsuya, additional, Aschauer, Harald, additional, Baker, Jessica H., additional, Bencko, Vladimir, additional, Bergen, Andrew W., additional, Birgegård, Andreas, additional, Perica, Vesna Boraska, additional, Brandt, Harry, additional, Burghardt, Roland, additional, Carlberg, Laura, additional, Cassina, Matteo, additional, Clementi, Maurizio, additional, Courtet, Philippe, additional, Crawford, Steven, additional, Crow, Scott, additional, Crowley, James J., additional, Danner, Unna N., additional, Davis, Oliver S.P., additional, Degortes, Daniela, additional, DeSocio, Janiece E., additional, Dick, Danielle M., additional, Dina, Christian, additional, Docampo, Elisa, additional, Egberts, Karin, additional, Ehrlich, Stefan, additional, Espeseth, Thomas, additional, Fernández-Aranda, Fernando, additional, Fichter, Manfred M., additional, Foretova, Lenka, additional, Forzan, Monica, additional, Gambaro, Giovanni, additional, Giegling, Ina, additional, Gonidakis, Fragiskos, additional, Gorwood, Philip, additional, Mayora, Monica Gratacos, additional, Guo, Yiran, additional, Halmi, Katherine A., additional, Hatzikotoulas, Konstantinos, additional, Hebebrand, Johannes, additional, Helder, Sietske G., additional, Herpertz-Dahlmann, Beate, additional, Herzog, Wolfgang, additional, Hinney, Anke, additional, Imgart, Hartmut, additional, Jiménez-Murcia, Susana, additional, Johnson, Craig, additional, Jordan, Jennifer, additional, Julià, Antonio, additional, Kaminská, Deborah, additional, Karhunen, Leila, additional, Karwautz, Andreas, additional, Kas, Martien J.H., additional, Kaye, Walter H., additional, Kennedy, Martin A., additional, Kim, Youl-Ri, additional, Klareskog, Lars, additional, Klump, Kelly L., additional, Knudsen, Gun Peggy S., additional, Landén, Mikael, additional, Le Hellard, Stephanie, additional, Levitan, Robert D., additional, Li, Dong, additional, Lichtenstein, Paul, additional, Maj, Mario, additional, Marsal, Sara, additional, McDevitt, Sara, additional, Mitchell, James, additional, Monteleone, Palmiero, additional, Monteleone, Alessio Maria, additional, Munn-Chernoff, Melissa A., additional, Nacmias, Benedetta, additional, Navratilova, Marie, additional, O’Toole, Julie K., additional, Padyukov, Leonid, additional, Pantel, Jacques, additional, Papezova, Hana, additional, Rabionet, Raquel, additional, Raevuori, Anu, additional, Ramoz, Nicolas, additional, Reichborn-Kjennerud, Ted, additional, Ricca, Valdo, additional, Roberts, Marion, additional, Rujescu, Dan, additional, Rybakowski, Filip, additional, Scherag, André, additional, Schmidt, Ulrike, additional, Seitz, Jochen, additional, Slachtova, Lenka, additional, Slof-Op‘t Landt, Margarita C.T., additional, Slopien, Agnieszka, additional, Sorbi, Sandro, additional, Southam, Lorraine, additional, Strober, Michael, additional, Tortorella, Alfonso, additional, Tozzi, Federica, additional, Treasure, Janet, additional, Tziouvas, Konstantinos, additional, van Elburg, Annemarie A., additional, Wade, Tracey D., additional, Wagner, Gudrun, additional, Walton, Esther, additional, Watson, Hunna J., additional, Wichmann, H-Erich, additional, Woodside, D. Blake, additional, Zeggini, Eleftheria, additional, Zerwas, Stephanie, additional, Zipfel, Stephan, additional, Adams, Mark J., additional, Andlauer, Till F.M., additional, Berger, Klaus, additional, Binder, Elisabeth B., additional, Boomsma, Dorret I., additional, Castelao, Enrique, additional, Colodro-Conde, Lucía, additional, Direk, Nese, additional, Docherty, Anna R., additional, Domenici, Enrico, additional, Domschke, Katharina, additional, Dunn, Erin C., additional, Foo, Jerome C., additional, de. Geus, E.J.C., additional, Grabe, Hans J., additional, Hamilton, Steven P., additional, Horn, Carsten, additional, Hottenga, Jouke-Jan, additional, Howard, David, additional, Ising, Marcus, additional, Kloiber, Stefan, additional, Levinson, Douglas F., additional, Lewis, Glyn, additional, Magnusson, Patrik K.E., additional, Mbarek, Hamdi, additional, Middeldorp, Christel M., additional, Mostafavi, Sara, additional, Nyholt, Dale R., additional, Penninx, Brenda WJH., additional, Peterson, Roseann E., additional, Pistis, Giorgio, additional, Porteous, David J., additional, Preisig, Martin, additional, Quiroz, Jorge A., additional, Schaefer, Catherine, additional, Schulte, Eva C., additional, Shi, Jianxin, additional, Smith, Daniel J., additional, Thomson, Pippa A., additional, Tiemeier, Henning, additional, Uher, Rudolf, additional, van der Auwera, Sandra, additional, Weissman, Myrna M., additional, Alexander, Madeline, additional, Begemann, Martin, additional, Bramon, Elvira, additional, Buccola, Nancy G., additional, Cairns, Murray J., additional, Campion, Dominique, additional, Carr, Vaughan J., additional, Cloninger, C. Robert, additional, Cohen, David, additional, Collier, David A., additional, Corvin, Aiden, additional, DeLisi, Lynn E., additional, Donohoe, Gary, additional, Dudbridge, Frank, additional, Duan, Jubao, additional, Freedman, Robert, additional, Gejman, Pablo V., additional, Golimbet, Vera, additional, Godard, Stephanie, additional, Ehrenreich, Hannelore, additional, Hartmann, Annette M., additional, Henskens, Frans A., additional, Ikeda, Masashi, additional, Iwata, Nakao, additional, Jablensky, Assen V., additional, Joa, Inge, additional, Jönsson, Erik G., additional, Kelly, Brian J., additional, Knight, Jo, additional, Konte, Bettina, additional, Laurent-Levinson, Claudine, additional, Lee, Jimmy, additional, Lencz, Todd, additional, Lerer, Bernard, additional, Loughland, Carmel M., additional, Malhotra, Anil K., additional, Mallet, Jacques, additional, McDonald, Colm, additional, Mitjans, Marina, additional, Mowry, Bryan J., additional, Murphy, Kieran C., additional, Murray, Robin M., additional, O’Neill, F. Anthony, additional, Oh, Sang-Yun, additional, Palotie, Aarno, additional, Pantelis, Christos, additional, Pulver, Ann E., additional, Petryshen, Tracey L., additional, Quested, Digby J., additional, Riley, Brien, additional, Sanders, Alan R., additional, Schall, Ulrich, additional, Schwab, Sibylle G., additional, Scott, Rodney J., additional, Sham, Pak C., additional, Silverman, Jeremy M., additional, Sim, Kang, additional, Steixner, Agnes A., additional, Tooney, Paul A., additional, van Os, Jim, additional, Vawter, Marquis P., additional, Walsh, Dermot, additional, Weiser, Mark, additional, Wildenauer, Dieter B., additional, Williams, Nigel M., additional, Wormley, Brandon K., additional, Zhang, Fuquan, additional, Androutsos, Christos, additional, Arnold, Paul D., additional, Barr, Cathy L., additional, Barta, Csaba, additional, Bey, Katharina, additional, Bienvenu, O. Joseph, additional, Black, Donald W., additional, Brown, Lawrence W., additional, Budman, Cathy, additional, Cath, Danielle, additional, Cheon, Keun-Ah, additional, Ciullo, Valentina, additional, Coffey, Barbara J., additional, Cusi, Daniele, additional, Davis, Lea K., additional, Denys, Damiaan, additional, Depienne, Christel, additional, Dietrich, Andrea, additional, Eapen, Valsamma, additional, Falkai, Peter, additional, Fernandez, Thomas V., additional, Garcia-Delgar, Blanca, additional, Geller, Daniel A., additional, Gilbert, Donald L., additional, Grados, Marco A., additional, Greenberg, Erica, additional, Grünblatt, Edna, additional, Hagstrøm, Julie, additional, Hanna, Gregory L., additional, Hartmann, Andreas, additional, Hedderly, Tammy, additional, Heiman, Gary A., additional, Heyman, Isobel, additional, Hong, Hyun Ju, additional, Huang, Alden, additional, Huyser, Chaim, additional, Ibanez-Gomez, Laura, additional, Khramtsova, Ekaterina A., additional, Kim, Young Key, additional, Kim, Young-Shin, additional, King, Robert A., additional, Koh, Yun-Joo, additional, Konstantinidis, Anastasios, additional, Kook, Sodahm, additional, Kuperman, Samuel, additional, Leventhal, Bennett L., additional, Lochner, Christine, additional, Ludolph, Andrea G., additional, Madruga-Garrido, Marcos, additional, Malaty, Irene, additional, Maras, Athanasios, additional, McCracken, James T., additional, Meijer, Inge A., additional, Mir, Pablo, additional, Morer, Astrid, additional, Müller-Vahl, Kirsten R., additional, Münchau, Alexander, additional, Murphy, Tara L., additional, Naarden, Allan, additional, Nagy, Peter, additional, Nestadt, Gerald, additional, Nestadt, Paul S., additional, Nicolini, Humberto, additional, Nurmi, Erika L., additional, Okun, Michael S., additional, Paschou, Peristera, additional, Piras, Fabrizio, additional, Piras, Federica, additional, Pittenger, Christopher, additional, Plessen, Kerstin J., additional, Richter, Margaret A., additional, Rizzo, Renata, additional, Robertson, Mary, additional, Roessner, Veit, additional, Ruhrmann, Stephan, additional, Samuels, Jack F., additional, Sandor, Paul, additional, Schlögelhofer, Monika, additional, Shin, Eun-Young, additional, Singer, Harvey, additional, Song, Dong-Ho, additional, Song, Jungeun, additional, Spalletta, Gianfranco, additional, Stein, Dan J., additional, Stewart, S Evelyn, additional, Storch, Eric A., additional, Stranger, Barbara, additional, Stuhrmann, Manfred, additional, Tarnok, Zsanett, additional, Tischfield, Jay A., additional, Tübing, Jennifer, additional, Visscher, Frank, additional, Vulink, Nienke, additional, Wagner, Michael, additional, Walitza, Susanne, additional, Wanderer, Sina, additional, Woods, Martin, additional, Worbe, Yulia, additional, Zai, Gwyneth, additional, Zinner, Samuel H., additional, Sullivan, Patrick F., additional, Franke, Barbara, additional, Daly, Mark J., additional, Bulik, Cynthia M., additional, McIntosh, Andrew M., additional, O’Donovan, Michael C., additional, Zheutlin, Amanda, additional, Andreassen, Ole A., additional, Børglum, Anders D., additional, Breen, Gerome, additional, Edenberg, Howard J., additional, Fanous, Ayman H., additional, Faraone, Stephen V., additional, Gelernter, Joel, additional, Mathews, Carol A., additional, Mattheisen, Manuel, additional, Mitchell, Karen S., additional, Neale, Michael C., additional, Nurnberger, John I., additional, Ripke, Stephan, additional, Santangelo, Susan L., additional, Scharf, Jeremiah M., additional, Stein, Murray B., additional, Thornton, Laura M., additional, Walters, James T.R., additional, Wray, Naomi R., additional, Geschwind, Daniel H., additional, Neale, Benjamin M., additional, Kendler, Kenneth S., additional, and Smoller, Jordan W., additional
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- 2019
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17. Human iPSC-Derived Hypothalamic Neurons from Super Obese Patients Exhibit Obesogenic Transcriptional Profiles and Dysregulated Hormone Responses
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Uthra Rajamani, Roberta A. Gottlieb, Dhruv Sareen, Brooke E. Hjelm, Jie Tang, Vineela Gangalapudi, Adolfo Sequeira, Allen M. Andres, Andrew R. Gross, and Marquis P. Vawter
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medicine.medical_specialty ,Neuronal growth regulator 1 ,Leptin ,Neuropeptide ,Adipose tissue ,Enteroendocrine cell ,Biology ,Endocrinology ,nervous system ,Hypothalamus ,Arcuate nucleus ,Internal medicine ,medicine ,Ghrelin ,hormones, hormone substitutes, and hormone antagonists - Abstract
The arcuate nucleus of the hypothalamus contains neurons responsible for feeding. They control metabolic processes by secretion of neuropeptides in response to hunger and satiety signals from the gastrointestinal tract, pancreas and adipose tissue. Here we aim at addressing the challenge of non-availability of developing human brain/hypothalamic tissues for study. To bridge this gap, we generated human induced pluripotent stem cells (hiPSCs) from lymphoblasts of super obese (body mass index (BMI) ≥ 50) and normal (BMI ≤ 25) subjects and differentiated them into hypothalamic-like neuronal cultures (iHTNs), specifically those expressing pro-opiomelanocortin (POMC), agouti-related peptide (AgRP), cocaine and amphetamine regulating transcript (CART) and neurons capable of secreting neuropeptides such as neuropeptide Y (NPY) and alpha-melanocyte stimulating hormone (MSH). Of the total number of neurons (approx.75% of cells in culture), we saw 42% MSH , 44% NPY , 28% AgRP and 20% POMC/CART neurons. Bioinformatics analyses of transcriptomics from day 40 differentiated iHTNs reveal that these neuronal cultures maintain predominantly a fetal hypothalamic identity. We further show that these neurons are capable of relevantly responding to physiological (exogenous) metabolic stimuli e.g. ghrelin and leptin. Notably, transcriptomics of iHTNs obtained from super obese individuals retained signatures of obesity showing specific dysregulation of obesity-related genes such as neuronal growth regulator 1 (NEGR1) and secretogranin 3 (SCG3). Ingenuity Pathway Analysis also highlighted dysregulation of several obesity-related metabolic pathways like leptin signaling, GPCR-mediated enteroendocrine signaling, as well as the ER stress and inflammasome pathways in super obese iHTNs when compared to controls. The methods and characterization of iHTNs described here could serve as a cellular platform for modeling and testing gene-environment interactions involved in metabolic diseases and obesity.
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- 2018
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18. The somatic common deletion in mitochondrial DNA is decreased in schizophrenia
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Firoza Mamdani, Marquis P. Vawter, Linda Morgan, Brandi Rollins, and P. Adolfo Sequeira
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Adult ,Male ,medicine.medical_specialty ,Mitochondrial DNA ,DNA Mutational Analysis ,Statistics as Topic ,Caudate nucleus ,Hippocampus ,Substantia nigra ,Biology ,Mitochondrion ,DNA, Mitochondrial ,Article ,Internal medicine ,medicine ,Humans ,Biological Psychiatry ,Aged ,Psychiatric Status Rating Scales ,Genetics ,Analysis of Variance ,Putamen ,Brain ,Middle Aged ,Dorsolateral prefrontal cortex ,Psychiatry and Mental health ,Endocrinology ,medicine.anatomical_structure ,Schizophrenia ,Female ,Orbitofrontal cortex ,Gene Deletion - Abstract
Large deletions in mitochondrial DNA (mtDNA) can occur during or result from oxidative stress leading to a vicious cycle that increases reactive oxygen species (ROS) damage and decreases mitochondrial function, thereby causing further oxidative stress. The objective of this study was to determine if disease specific brain differences of the somatic mtDNA common deletion (4977 bp) could be observed in major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ) compared to a control group. The accumulation of the mtDNA common deletion was measured using a quantitative assay across 10 brain regions (anterior cingulate cortex, amygdala, caudate nucleus, dorsolateral prefrontal cortex, hippocampus, nucleus accumbens, orbitofrontal cortex, putamen, substantia nigra, and thalamus). The correlation with age of the mtDNA deletion was highly significant across brain regions as previously shown. A significant decrease in the global accumulation of common deletion in subjects with SZ compared to MDD, BD, and controls was observed after correcting for age, pH, PMI, and gender. The decreases in SZ were largest in dopaminergic regions. One potential side effect of antipsychotic drugs on mitochondria is the impairment of mitochondria function, which might explain these findings. The decreased global brain mtDNA common deletion levels suggests that mitochondrial function is impaired and might be part of an overall mitochondria dysfunction signature in subjects with schizophrenia.
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- 2014
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19. Schizophrenia miR-137 Locus Risk Genotype Is Associated with Dorsolateral Prefrontal Cortex Hyperactivation
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Ilaria Guella, Kelvin O. Lim, Fabio Macciardi, Douglas N. Greve, Dana Nguyen, Aysenil Belger, Gary H. Glover, Gregory G. Brown, Steven G. Potkin, Adrian Preda, Michele T. Diaz, Judith M. Ford, Vince D. Calhoun, Theo G.M. van Erp, Marquis P. Vawter, Juan R. Bustillo, Gregory McCarthy, Jessica A. Turner, and Daniel H. Mathalon
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Oncology ,medicine.medical_specialty ,medicine.diagnostic_test ,Working memory ,Single-nucleotide polymorphism ,behavioral disciplines and activities ,Dorsolateral prefrontal cortex ,Exact test ,medicine.anatomical_structure ,Internal medicine ,mental disorders ,Genotype ,medicine ,Psychiatry ,Psychology ,Functional magnetic resonance imaging ,Prefrontal cortex ,Allele frequency ,Biological Psychiatry - Abstract
Background miR-137 dysregulation has been implicated in the etiology of schizophrenia, but its functional role remains to be determined. Methods Functional magnetic resonance imaging scans were acquired on 48 schizophrenia patients and 63 healthy volunteers (total sample size N = 111 subjects), with similar mean age and sex distribution, while subjects performed a Sternberg Item Response Paradigm with memory loads of one, three, and five numbers. Dorsolateral prefrontal cortex (DLPFC) retrieval activation for the working memory load of three numbers, for which hyperactivation had been shown in schizophrenia patients compared with control subjects, was extracted. The genome-wide association study confirmed schizophrenia risk single nucleotide polymorphism rs1625579 (miR-137 locus) was genotyped (schizophrenia: GG n = 0, GT n = 9, TT n = 39; healthy volunteers: GG=2, GT n = 15, and TT n = 46). Fisher's exact test examined the effect of diagnosis on rs1625579 allele frequency distribution ( p = nonsignificant). Mixed model regression analyses examined the effects of diagnosis and genotype on working memory performance measures and DLPFC activation. Results Patients showed significantly higher left DLPFC retrieval activation on working memory load 3, lower working memory performance, and longer response times compared with controls. There was no effect of genotype on working memory performance or response times in either group. However, individuals with the rs1625579 TT genotype had significantly higher left DLPFC activation than those with the GG/GT genotypes. Conclusions Our study suggests that the rs1625579 TT (miR-137 locus) schizophrenia risk genotype is associated with the schizophrenia risk phenotype DLPFC hyperactivation commonly considered a measure of brain inefficiency.
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- 2014
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20. Molecular and bioenergetic differences between cells with African versus European inherited mitochondrial DNA haplogroups: Implications for population susceptibility to diseases
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Marquis P. Vawter, Nitin Udar, Michael V. Miceli, David S. Boyer, Claudio Ramirez, S. Michal Jazwinski, Mohamed Tarek, Payam Falatoonzadeh, Baruch D. Kuppermann, M. Cristina Kenney, Marilyn Chwa, Javier Caceres del Carpio, Deepika Malik, Douglas C. Wallace, Shari R. Atilano, and Anthony B. Nesburn
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Adult ,Mitochondrial DNA ,Nuclear gene ,Population ,Gene Dosage ,Black People ,Cybrid ,Biology ,Hybrid Cells ,DNA, Mitochondrial ,Polymorphism, Single Nucleotide ,Haplogroup ,Retina ,White People ,Article ,Cell Line ,Adenosine Triphosphate ,Humans ,Genetic Predisposition to Disease ,Mitochondrion ,education ,Gene ,Molecular Biology ,Cell Proliferation ,Oligonucleotide Array Sequence Analysis ,Genetics ,Innate immunity ,education.field_of_study ,Reverse Transcriptase Polymerase Chain Reaction ,Gene Expression Profiling ,Haplotype ,Middle Aged ,Molecular biology ,Complement activation ,Genes, Mitochondrial ,Haplotypes ,Lactates ,Molecular Medicine ,MT-ND5 ,Energy Metabolism ,Reactive Oxygen Species ,Human mitochondrial DNA haplogroup - Abstract
The geographic origins of populations can be identified by their maternally inherited mitochondrial DNA (mtDNA) haplogroups. This study compared human cybrids (cytoplasmic hybrids), which are cell lines with identical nuclei but mitochondria from different individuals with mtDNA from either the H haplogroup or L haplogroup backgrounds. The most common European haplogroup is H while individuals of maternal African origin are of the L haplogroup. Despite lower mtDNA copy numbers, L cybrids had higher expression levels for nine mtDNA-encoded respiratory complex genes, decreased ATP (adenosine triphosphate) turnover rates and lower levels of reactive oxygen species production, parameters which are consistent with more efficient oxidative phosphorylation. Surprisingly, GeneChip arrays showed that the L and H cybrids had major differences in expression of genes of the canonical complement system (5 genes), dermatan/chondroitin sulfate biosynthesis (5 genes) and CCR3 (chemokine, CC motif, receptor 3) signaling (9 genes). Quantitative nuclear gene expression studies confirmed that L cybrids had (a) lower expression levels of complement pathway and innate immunity genes and (b) increased levels of inflammation-related signaling genes, which are critical in human diseases. Our data support the hypothesis that mtDNA haplogroups representing populations from different geographic origins may play a role in differential susceptibilities to diseases.
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- 2014
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21. A Comprehensive Analysis of Nuclear-Encoded Mitochondrial Genes in Schizophrenia
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Gonçalves, Vanessa F., primary, Cappi, Carolina, additional, Hagen, Christian M., additional, Sequeira, Adolfo, additional, Vawter, Marquis P., additional, Derkach, Andriy, additional, Zai, Clement C., additional, Hedley, Paula L., additional, Bybjerg-Grauholm, Jonas, additional, Pouget, Jennie G., additional, Cuperfain, Ari B., additional, Sullivan, Patrick F., additional, Christiansen, Michael, additional, Kennedy, James L., additional, and Sun, Lei, additional
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- 2018
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22. Super-Obese Patient-Derived iPSC Hypothalamic Neurons Exhibit Obesogenic Signatures and Hormone Responses
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Rajamani, Uthra, primary, Gross, Andrew R., additional, Hjelm, Brooke E., additional, Sequeira, Adolfo, additional, Vawter, Marquis P., additional, Tang, Jie, additional, Gangalapudi, Vineela, additional, Wang, Yizhou, additional, Andres, Allen M., additional, Gottlieb, Roberta A., additional, and Sareen, Dhruv, additional
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- 2018
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23. The first decade and beyond of transcriptional profiling in schizophrenia
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P. Adolfo Sequeira, Marquis P. Vawter, and Maureen V. Martin
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Psychiatry ,Microarray ,Bipolar disorder ,Gene Expression Profiling ,Systems biology ,Brain ,Biology ,Interactome ,Article ,lcsh:RC321-571 ,Transcriptome ,Gene expression profiling ,Gene-based biomarker discovery ,Neurology ,Gene expression ,Schizophrenia ,Humans ,Copy-number variation ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Gene ,Neuroscience - Abstract
Gene expression changes in brains of individuals with schizophrenia (SZ) have been hypothesized to reflect possible pathways related to pathophysiology and/or medication. Other factors having robust effects on gene expression profiling in brain and possibly influence the schizophrenia transcriptome such as age and pH are examined. Pathways of curated gene expression or gene correlation networks reported in SZ (white matter, apoptosis, neurogenesis, synaptic plasticity, glutamatergic and GABAergic neurotransmission, immune and stress-response, mitochondrial, and neurodevelopment) are not unique to SZ and have been associated with other psychiatric disorders. Suggestions going forward to improve the next decade of profiling: consider multiple brain regions that are carefully dissected, release large datasets from multiple brain regions in controls to better understand neurocircuitry, integrate genetics and gene expression, measure expression variants on genome wide level, peripheral biomarker studies, and analyze the transcriptome across a developmental series of brains. Gene expression, while an important feature of the genomic landscape, requires further systems biology to advance from control brains to a more precise definition of the schizophrenia interactome.
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- 2012
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24. Lack of association to a NRG1 missense polymorphism in schizophrenia or bipolar disorder in a Costa Rican population
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Brandi Rollins, Richard M. Myers, Emily A. Moon, Huda Akil, Jack D. Barchas, Alan F. Schatzberg, William E. Bunney, Marquis P. Vawter, William Byerley, Adolfo Sequeira, Lynn E. DeLisi, Andrea Mesén, Stanley J. Watson, and Edward G. Jones
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Costa Rica ,Male ,Candidate gene ,Bipolar Disorder ,Genotype ,Neuregulin-1 ,DNA Mutational Analysis ,Population ,Single-nucleotide polymorphism ,Biology ,Article ,Gene Frequency ,mental disorders ,Humans ,Missense mutation ,Promoter Regions, Genetic ,education ,Biological Psychiatry ,Genetic association ,Genetics ,Analysis of Variance ,education.field_of_study ,Polymorphism, Genetic ,Genetic heterogeneity ,Brain ,Minor allele frequency ,Psychiatry and Mental health ,Schizophrenia ,Female - Abstract
A missense polymorphism in the NRG1 gene, Val > Leu in exon 11, was reported to increase the risk of schizophrenia in selected families from the Central Valley region of Costa Rica (CVCR). The present study investigated the relationship between three NRG1 genetic variants, rs6994992, rs3924999, and Val > Leu missense polymorphism in exon 11, in cases and selected controls from an isolated population from the CVCR. Isolated populations can have less genetic heterogeneity and increase power to detect risk variants in candidate genes. Subjects with bipolar disorder (BD, n = 358), schizophrenia (SZ, n = 273), or unrelated controls (CO, n = 479) were genotyped for three NRG1 variants. The NRG1 promoter polymorphism (rs6994992) was related to altered expression of NRG1 Type IV in other studies. The expression of NRG1 type IV in the dorsolateral prefrontal cortex (DLPFC) and the effect of the rs6994992 genotype on expression were explored in a postmortem cohort of BD, SZ, major depressive disorder (MDD) cases, and controls. The missense polymorphism Val > Leu in exon 11 was not significantly associated with schizophrenia as previously reported in a family sample from this population, the minor allele frequency is 4%, thus our sample size is not large enough to detect an association. We observed however an association of rs6994992 with NRG1 type IV expression in DLPFC and a significantly decreased expression in MDD compared to controls. The present results while negative do not rule out a genetic association of these SNPs with BD and SZ in CVCR, perhaps due to small risk effects that we were unable to detect and potential intergenic epistasis. The previous genetic relationship between expression of a putative brain-specific isoform of NRG1 type IV and SNP variation was replicated in postmortem samples in our preliminary study.
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- 2011
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25. POTENTIAL ALTERATIONS IN LEUKOCYTE MITOCHONDRIAL DNA COPY NUMBER FROM PATIENTS WITH BIPOLAR DISORDER TYPE I
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Jared M. Evans, Gregory D. Jenkins, Mark A. Frye, Euijung Ryu, Ana Cristina Andreazza, Joanna M. Biernacka, Susan L. McElroy, and Marquis P. Vawter
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Pharmacology ,Whole genome sequencing ,Genetics ,Mitochondrial DNA ,Homoplasmy ,Relative Quantity ,Biology ,medicine.disease ,Heteroplasmy ,Nuclear DNA ,Psychiatry and Mental health ,Neurology ,medicine ,Pharmacology (medical) ,Neurology (clinical) ,Bipolar disorder ,Biological Psychiatry ,Mitochondrial DNA replication - Abstract
Background Mitochondrial dysfunction has been well documented in patients with Bipolar Disorder (BD). Studies demonstrated that alternations in mtDNA copy number have been associated with mitochondrial dysfunction and increased oxidative stress. However, association between mtDNA copy number and BD compared to controls has been inconclusive so far. In this study, we aimed to assess whether mtDNA copy number is altered in BD type I (BDI) compared to controls. We also explored whether the total number of heteroplasmic Single Nucleotide Variants (SNVs) for a given subject, another marker for oxidative stress, is altered in BDI. Methods One hundred BDI patients were selected for Whole Genome Sequencing (WGS) experiment using leukocyte DNA from the Mayo Clinic Bipolar Disorder Biobank. In addition, 1000 patients from the Mayo Clinic Biobank, a control biobank, were also selected for the experiment. After applying basic quality control filtering (e.g., low sequencing coverage and sample contamination) to nuclear DNA sequencing data, this study used 99 BD1 patients and 961 controls. MtDNA copy number was defined as the relative quantity of mtDNA compared to nuclear DNA. For each SNV, likelihood functions were estimated under two models (heteroplasmy and homoplasmy) taking into account sequencing error, and log-likelihood ratio (LLR) was calculated. The total number of heteroplasmic SNVs for a given subject was calculated by counting the sites with LLR ≥ 5. Adjusting for age and sex, regression models were used to test the association between BD status and mtDNA copy number and the total number of heteroplasmic SNVs after log-transformation. Results BDI patients were younger compared to controls (median age at the biobank enrollment: 45 in BDI vs 61 in controls) with more females in cases (60% vs 50%). Overall, older age and male sex were associated with lower mtDNA copy number (P Discussion This small study potentially supports recent findings on a slight decrease in mtDNA copies among BDI and more copies in females. This study also shows that mtDNA copy number decreases with age, while the degree of heteroplasmy increases. Although the underlying mechanism for this observation is not clear, it may reflect mitochondrial DNA replication and degradation due to mitochondrial dysfunction and premature cellular senescence in BD.
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- 2019
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26. F90NOVEL COMPLEX INTERACTIONS BETWEEN MITOCHONDRIAL AND NUCLEAR DNA IN SCHIZOPHRENIA AND BIPOLAR DISORDER
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Euijung Ryu, Michael Christiansen, Marquis P. Vawter, Vanessa F. Gonçalves, Joanna M. Biernacka, Mark A. Frye, and Anton Schulman
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Pharmacology ,business.industry ,medicine.disease ,Nuclear DNA ,Psychiatry and Mental health ,Neurology ,Schizophrenia ,Medicine ,Pharmacology (medical) ,Neurology (clinical) ,Bipolar disorder ,business ,Neuroscience ,Biological Psychiatry - Published
- 2019
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27. Allelic imbalance associated with the schizophrenia risk SNP rs1344706 indicates a cis-acting variant in ZNF804A
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Ilaria Guella and Marquis P. Vawter
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Genetics ,Bipolar Disorder ,Kruppel-Like Transcription Factors ,business.industry ,Prefrontal Cortex ,Allelic Imbalance ,Biology ,medicine.disease ,Polymorphism, Single Nucleotide ,Article ,Cis acting ,Psychiatry and Mental health ,Text mining ,Schizophrenia ,medicine ,Humans ,SNP ,Bipolar disorder ,business ,Prefrontal cortex ,Genetic Association Studies ,Biological Psychiatry - Published
- 2014
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28. Human iPSC-Derived Hypothalamic Neurons from Super Obese Patients Exhibit Obesogenic Transcriptional Profiles and Dysregulated Hormone Responses
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Rajamani, Uthra, primary, Gross, Andrew R., additional, Hjelm, Brooke E., additional, Sequeira, Adolfo, additional, Vawter, Marquis P., additional, Tang, Jie, additional, Gangalapudi, Vineela, additional, Andres, Allen M., additional, Gottlieb, Roberta A., additional, and Sareen, Dhruv, additional
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- 2018
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29. Shared Gene Expression Alterations in Schizophrenia and Bipolar Disorder
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Marquis P. Vawter and Ling Shao
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Adult ,Male ,Candidate gene ,medicine.medical_specialty ,Psychosis ,Bipolar Disorder ,Transcription, Genetic ,medicine.medical_treatment ,Prefrontal Cortex ,Social Environment ,Article ,Genetic determinism ,Glutamate Plasma Membrane Transport Proteins ,Reference Values ,mental disorders ,medicine ,Humans ,Genes, Tumor Suppressor ,Bipolar disorder ,Antipsychotic ,Psychiatry ,Transaminases ,Biological Psychiatry ,Oligonucleotide Array Sequence Analysis ,Reverse Transcriptase Polymerase Chain Reaction ,Gene Expression Profiling ,Genetic Variation ,Nuclear Proteins ,Social environment ,Middle Aged ,medicine.disease ,Excitatory Amino Acid Transporter 2 ,Gene Expression Regulation ,Categorization ,Schizophrenia ,Female ,Psychology - Abstract
Schizophrenia (SZ) and bipolar disorder (BPD) have traditionally been diagnosed by clinical examination of psychotic symptoms and affective dysregulation. The clinical impressions along these two dimensions coupled with historical separation into current diagnostic classifications have led to these illnesses being viewed and treated in research as independent classes (1,2). Categorization into separate classes has led to efforts for identification of separate pathophysiologies for each disorder (3). However, it has not escaped attention that the classifications share some pathophysiology, vulnerability and risk factors, genetic loci, clinical manifestations, and approximate ages of onset. Classifications have arisen that are based upon meeting clinical characteristics, and multiple criteria can be combined into discrete subgroups, which might be different in terms of pathophysiology. Recent discussions have centered on the idea that schizophrenia and bipolar are not separate illnesses (1-5), but share many criteria and differ along a dimension related to psychosis and affective symptom clusters. Medication response can be effective in one or both disorders or equally ineffective in both. Furthermore, patients clinically present with both affective and psychotic symptoms. This study was motivated by the idea of identifying common gene-expression profiles akin to recent reports of shared candidate genes that overlap in linkage and association genetic studies of BPD and SZ, although clearly not in all studies (1). Most reports of SZ or BPD microarray studies have not compared both disorders with a common reference control group with a few exceptions (6,7). We now present a common molecular profile of both SZ and BPD as one potential indicator of a partially shared molecular phenotype.
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- 2008
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30. Understanding Patients’ Ability to Function in Order to Inform Clinical Benefit in Oncology Studies
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Karagiannis, T, primary, Marquis, P, additional, Petersen, J, additional, Meyers, O, additional, Chui, SY, additional, Campbell, AK, additional, Strzok, S, additional, Pompilus, F, additional, and Piault, E, additional
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- 2017
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31. A comprehensive analysis of mitochondrial genes variants and their association with antipsychotic-induced weight gain
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Mittal, Kirti, primary, Gonçalves, Vanessa F., additional, Harripaul, Ricardo, additional, Cuperfain, Ari B., additional, Rollins, Brandi, additional, Tiwari, Arun K., additional, Zai, Clement C., additional, Maciukiewicz, Malgorzata, additional, Müller, Daniel J., additional, Vawter, Marquis P., additional, and Kennedy, James L., additional
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- 2017
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32. A Circadian Genomic Signature Common to Ketamine and Sleep Deprivation in the Anterior Cingulate Cortex
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Orozco-Solis, Ricardo, primary, Montellier, Emilie, additional, Aguilar-Arnal, Lorena, additional, Sato, Shogo, additional, Vawter, Marquis P., additional, Bunney, Blynn G., additional, Bunney, William E., additional, and Sassone-Corsi, Paolo, additional
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- 2017
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33. Application of microarray technology in primate behavioral neuroscience research
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David M. Lyons, Stanley J. Watson, Alan F. Schatzberg, Song Her, Richard M. Myers, Prabhakara V. Choudary, Marquis P. Vawter, Fan Meng, Paresh D. Patel, William E. Bunney, Adriaan M. Karssen, Edward G. Jones, Hiroaki Tomita, Jun Li, Huda Akil, and Simon J. Evans
- Subjects
Microarray ,Microarray analysis techniques ,Gene Expression Profiling ,Neurosciences ,Computational biology ,Behavioral neuroscience ,Biology ,Bioinformatics ,General Biochemistry, Genetics and Molecular Biology ,Gene expression profiling ,Species Specificity ,Expression (architecture) ,Gene chip analysis ,Animals ,DNA microarray ,Saimiri ,Molecular Biology ,Gene ,Behavioral Research ,Oligonucleotide Array Sequence Analysis - Abstract
Gene expression profiling of brain tissue samples applied to DNA microarrays promises to provide novel insights into the neurobiological bases of primate behavior. The strength of the microarray technology lies in the ability to simultaneously measure the expression levels of all genes in defined brain regions that are known to mediate behavior. The application of microarrays presents, however, various limitations and challenges for primate neuroscience research. Low RNA abundance, modest changes in gene expression, heterogeneous distribution of mRNA among cell subpopulations, and individual differences in behavior all mandate great care in the collection, processing, and analysis of brain tissue. A unique problem for nonhuman primate research is the limited availability of species-specific arrays. Arrays designed for humans are often used, but expression level differences are inevitably confounded by gene sequence differences in all cross-species array applications. Tools to deal with this problem are currently being developed. Here we review these methodological issues, and provide examples from our experiences using human arrays to examine brain tissue samples from squirrel monkeys. Until species-specific microarrays become more widely available, great caution must be taken in the assessment and interpretation of microarray data from nonhuman primates. Nevertheless, the application of human microarrays in nonhuman primate neuroscience research recovers useful information from thousands of genes, and represents an important new strategy for understanding the molecular complexity of behavior and mental health.
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- 2006
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34. DNA microarray analysis of functionally discrete human brain regions reveals divergent transcriptional profiles
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Richard M. Myers, Jun Li, Edward G. Jones, Robert C. Thompson, Sharon Burke, William E. Bunney, S.J. Watson, Simon J. Evans, James H. Meador-Woodruff, Juan F. Lopez, Huda Akil, Marquis P. Vawter, and Prabhakara V. Choudary
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Male ,Cingulate cortex ,Transcription, Genetic ,Microarray ,Biology ,Prefrontal cortex ,Article ,lcsh:RC321-571 ,Cerebellum ,medicine ,Humans ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Aged ,Oligonucleotide Array Sequence Analysis ,Aged, 80 and over ,Depression ,Gene Expression Profiling ,Functional specialization ,Brain ,Human brain ,Middle Aged ,Dorsolateral prefrontal cortex ,medicine.anatomical_structure ,Neurology ,Cerebral cortex ,Cerebellar cortex ,Schizophrenia ,Gene chip analysis ,RNA ,Female ,Neuroscience - Abstract
Transcriptional profiles within discrete human brain regions are likely to reflect structural and functional specialization. Using DNA microarray technology, this study investigates differences in transcriptional profiles of highly divergent brain regions (the cerebellar cortex and the cerebral cortex) as well as differences between two closely related brain structures (the anterior cingulate cortex and the dorsolateral prefrontal cortex). Replication of this study across three independent laboratories, to address false-positive and false-negative results using microarray technology, is also discussed. We find greater than a thousand transcripts to be differentially expressed between cerebellum and cerebral cortex and very few transcripts to be differentially expressed between the two neocortical regions. We further characterized transcripts that were found to be specifically expressed within brain regions being compared and found that ontological classes representing signal transduction machinery, neurogenesis, synaptic transmission, and transcription factors were most highly represented.
- Published
- 2003
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35. Changes in hippocampal gene expression after neuroprotective activation of group I metabotropic glutamate receptors
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Jens Zimmer, Andrius Baskys, Morten Blaabjerg, and Marquis P. Vawter
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Blotting, Western ,Gene Expression ,In Vitro Techniques ,Biology ,Receptors, Metabotropic Glutamate ,Hippocampus ,Neuroprotection ,Methoxyhydroxyphenylglycol ,Cellular and Molecular Neuroscience ,Transcription (biology) ,Complementary DNA ,Gene expression ,Animals ,RNA, Messenger ,Rats, Wistar ,Receptor ,Molecular Biology ,In Situ Hybridization ,Oligonucleotide Array Sequence Analysis ,rab5 GTP-Binding Proteins ,Dose-Response Relationship, Drug ,Reverse Transcriptase Polymerase Chain Reaction ,Molecular biology ,Rats ,Blot ,Neuroprotective Agents ,Real-time polymerase chain reaction ,Animals, Newborn ,Metabotropic glutamate receptor - Abstract
Stimulation of group I metabotropic glutamate receptors (mGluRs) has been shown to protect against N-methyl-D-aspartate receptor-mediated cell death, but the underlying cellular mechanism is unknown. Using cDNA microarrays we have now compared gene expressions in organotypic hippocampal slice cultures after neuroprotective activation of group I mGluRs with (S)-3,5-dihydroxyphenylglycine (DHPG; 10 microM, 2 h) with untreated control cultures. Total RNA was extracted from the cultures immediately after the neuroprotective treatment, reverse transcribed to cDNA with incorporation of [32]P-dCTP, and then hybridized to the arrays. Of a total of 1128 genes on the Neuroarray, 33 genes displayed significant changes in expression after DHPG-treatment (six up- and 27 downregulated). These genes have been associated with regulation of synaptic excitation, inflammation, cell adhesion, cell death, and transcription. The small GTPase RAB5B associated with endocytosis emerged as a primary candidate gene for neuroprotection, and its expression was confirmed by Western blot analysis and real time polymerase chain reaction. By providing insight into genes involved in neuroprotection these data may help to identify novel therapeutic targets.
- Published
- 2003
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36. AF5, a CNS Cell Line Immortalized with an N-Terminal Fragment of SV40 Large T: Growth, Differentiation, Genetic Stability, and Gene Expression
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William J. Freed, Kevin G. Becker, Ora Dillon-Carter, Peisu Zhang, Marquis P. Vawter, Chris Cheadle, Nelly Morales, M.E. Truckenmiller, and Concha Conejero-Goldberg
- Subjects
Platelet-derived growth factor ,Cell division ,Antigens, Polyomavirus Transforming ,Cellular differentiation ,Gene Expression ,Biology ,Transforming Growth Factor beta1 ,Transforming Growth Factor beta2 ,chemistry.chemical_compound ,Developmental Neuroscience ,Mesencephalon ,Transforming Growth Factor beta ,Neurosphere ,Cell Adhesion ,Animals ,Progenitor cell ,Telomerase ,Cell Line, Transformed ,Oligonucleotide Array Sequence Analysis ,Platelet-Derived Growth Factor ,Genetics ,Cell growth ,Stem Cells ,Cell Differentiation ,Telomere ,Peptide Fragments ,Protein Structure, Tertiary ,Rats ,Cell biology ,Phenotype ,Neurology ,chemistry ,Cell culture ,Karyotyping ,Fibroblast Growth Factor 2 ,Tumor Suppressor Protein p53 ,Stem cell ,Cell Division - Abstract
Central nervous system progenitor cells that are self-renewing in culture and also differentiate under controlled conditions are potentially useful for developmental studies and for cell-based therapies. We characterized growth and plasticity properties and gene expression in a rat mesencephalic cell line, AF5, that was immortalized with an N-terminal fragment of SV40 large T (T155g). For over 150 population doublings in culture, the growth rate of AF5 cells remained steady, the cells remained responsive to bFGF, and telomerase activity and telomere lengths were unchanged. While karyotype analyses revealed some chromosomal abnormalities, these were also unchanged over time; additionally, no mutations in p53 gene sequences were found, and wild-type p53 activation was normal. AF5 cells produced PDGF, TGFbeta1, TGFbeta2, and bFGF. Similar to primary progenitor cells, AF5 cells retained their plasticity in culture; they could be propagated in an undifferentiated state as "neurospheres" in serum-free media or as adherent cultures in serum-containing media, and they differentiated when allowed to become confluent. Adherent subconfluent actively growing cultures expressed a marker for immature neurons, nestin, while few cells expressed the mature neuronal cell marker betaIII-tubulin. Confluent cultures ceased growing, developed differentiated morphologies, contained few or no nestin-expressing cells, and acquired betaIII-tubulin expression. Global gene expression was examined using a 15,000 gene microarray, comparing exponential growth with and without bFGF stimulation, and the differentiated state. The AF5 cell line exhibited stable genetic and growth properties over extended periods of time, while retaining the ability to differentiate in vitro. These data suggest that the AF5 cell line may be useful as an in vitro model system for studies of neural differentiation.
- Published
- 2002
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37. A Murine Dopamine Neuron-Specific cDNA Library and Microarray: Increased COXI Expression during Methamphetamine Neurotoxicity
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Francis J. Chrest, Ora Dillon-Carter, Tanya Barrett, Kevin G. Becker, David M. Donovan, Daniel L. Rowley, Yulan Piao, Magdalena Juhaszova, Meng K. Lim, George A. Ricaurte, Christopher Cheadle, William H. Wood, Una D. McCann, George J. Kargul, Marquis P. Vawter, Robert P. Wersto, Tao Xie, William J. Freed, Li Zhou, and Minoru S.H. Ko
- Subjects
cDNA microarray ,education.field_of_study ,Tyrosine hydroxylase ,cDNA library ,Population ,Substantia nigra ,Biology ,Methamphetamine ,Molecular biology ,lcsh:RC321-571 ,nervous system ,Neurology ,Dopamine ,Complementary DNA ,Gene expression ,medicine ,gene expression profile ,dopamine ,methamphetamine ,education ,development ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,medicine.drug - Abstract
Due to brain tissue heterogeneity, the molecular genetic profile of any neurotransmitter-specific neuronal subtype is unknown. The purpose of this study was to purify a population of dopamine neurons, construct a cDNA library, and generate an initial gene expression profile and a microarray representative of dopamine neuron transcripts. Ventral mesencephalic dopamine neurons were purified by fluorescent-activated cell sorting from embryonic day 13.5 transgenic mice harboring a 4.5-kb rat tyrosine hydroxylase promoter– lacZ fusion. Nine-hundred sixty dopamine neuron cDNA clones were sequenced and arrayed for use in studies of gene expression changes during methamphetamine neurotoxicity. A neurotoxic dose of methamphetamine produced a greater than twofold up-regulation of the mitochondrial cytochrome c oxidase polypeptide I transcript from adult mouse substantia nigra at 12 h posttreatment. This is the first work to describe a gene expression profile for a neuronal subtype and to identify gene expression changes during methamphetamine neurotoxicity.
- Published
- 2001
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38. Application of cDNA microarrays to examine gene expression differences in schizophrenia
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William H. Wood, Kevin G. Becker, Tanya Barrett, David M. Donovan, Christopher Cheadle, Maree J. Webster, Marquis P. Vawter, Boris P. Sokolov, and William J. Freed
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Adult ,Male ,Microarray ,Middle temporal gyrus ,Prefrontal Cortex ,Biology ,Cerebellum ,Complementary DNA ,Gene expression ,Humans ,Genetic Testing ,RNA, Messenger ,Prefrontal cortex ,Gene ,Aged ,Oligonucleotide Array Sequence Analysis ,Brain Chemistry ,Genetics ,General Neuroscience ,Brain ,Reproducibility of Results ,Middle Aged ,Temporal Lobe ,Solute carrier family ,Gene Expression Regulation ,Schizophrenia ,Female ,Synaptic signaling - Abstract
Using cDNA microarrays we have investigated gene expression patterns in brain regions of patients with schizophrenia. A cDNA neuroarray, comprised of genes related to brain function, was used to screen pools of samples from the cerebellum and prefrontal cortex from a matched set of subjects, and middle temporal gyrus, from a separate subject cohort. Samples of cerebellum and prefrontal cortex from neuroleptic naive patients were also included. Genes that passed a 3% reproducibility criterion for differential expression in independent experiments included 21 genes for drug-treated patients and 5 genes for drug-naive patients. Of these 26 genes, 10 genes were increased and 16 were decreased. Many of the differentially expressed genes were related to synaptic signaling and proteolytic functions. A smaller number of these genes were also differentially expressed in the middle temporal gyrus. The five genes that were differentially expressed in two brain regions from separate cohorts are: tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, eta polypeptide; sialyltransferase; proteasome subunit, alpha type 1; ubiquitin carboxyl-terminal esterase L1; and solute carrier family 10, member 1. Identification of patterns of changes in gene expression may lead to a better understanding of the pathophysiology of schizophrenia disorders.
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- 2001
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39. Dysregulation of the neural cell adhesion molecule and neuropsychiatric disorders
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Marquis P. Vawter
- Subjects
Pharmacology ,Psychosis ,Bipolar Disorder ,animal structures ,Cell adhesion molecule ,Mental Disorders ,Neurogenesis ,medicine.disease ,medicine.anatomical_structure ,Schizophrenia ,Synaptic plasticity ,medicine ,Neuropil ,Animals ,Humans ,Neural cell adhesion molecule ,Nervous System Diseases ,Psychology ,Neural Cell Adhesion Molecules ,Neuroscience ,Neural development - Abstract
Cell adhesion molecule proteins play a diverse role in neural development, signal transduction, structural linkages to extracellular and intracellular proteins, synaptic stabilization, neurogenesis, and learning. Three basic mRNA isoforms and potent posttranslational modifications differentially regulate these neurobiological properties of the neural cell adhesion molecule (N-CAM). Abnormal concentrations of N-CAM 105-115 kDa (cN-CAM), N-CAM variable alternative spliced exon (VASE), and N-CAM secreted exon (SEC) are related to schizophrenia and bipolar neuropsychiatric disorders. These N-CAM isoforms provide potential mechanisms for expression of multiple neurobiological alterations between controls and individuals with schizophrenia or bipolar illness. Multiple processes can trigger the dysregulation of N-CAM isoforms. Differences in neuropil volume, neuronal diameter, gray matter thickness, and ventricular size can be related to N-CAM neurobiological properties in neuropsychiatric disorders. Potential test of the N-CAM dysregulation hypothesis of neuropsychiatric disorder is whether ongoing dysregulation of N-CAM would cause cognitive impairments, increased lateral ventricle volume, and decreased hippocampal volume observed in schizophrenia and to a lesser extent in bipolar disorder. An indirect test of this theory conducted in animal experiments lend support to this N-CAM hypothesis. N-CAM dysregulation is consistent with a synaptic abnormality that could underlie the disconnection between brain regions consistent with neuroimaging reports. Synapse stability and plasticity may be part of the molecular neuropathology of these disorders.
- Published
- 2000
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40. Elevated concentration of N-CAM VASE isoforms in schizophrenia
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Richard Jed Wyatt, John J. Hemperly, Marquis P. Vawter, Jane L. Saffell, Mark A. Frye, Nsima Usen, William J. Freed, Dale M. VanderPutten, Patrick Doherty, Robert M. Post, and Fuad Issa
- Subjects
medicine.medical_specialty ,Psychosis ,Bipolar Disorder ,Immunoproteins ,Recombinant Fusion Proteins ,Blotting, Western ,Central nervous system ,Exon ,Cerebrospinal fluid ,Antibody Specificity ,Internal medicine ,mental disorders ,medicine ,Humans ,Protein Isoforms ,Bipolar disorder ,Neural Cell Adhesion Molecules ,Biological Psychiatry ,Psychiatric Status Rating Scales ,Depressive Disorder ,Immune Sera ,Exons ,medicine.disease ,Pathophysiology ,Alternative Splicing ,Psychiatry and Mental health ,Endocrinology ,medicine.anatomical_structure ,Schizophrenia ,Neural cell adhesion molecule ,Psychology ,Neuroscience - Abstract
Neural cell adhesion molecule (N-CAM) is a cell recognition molecule, four major isoforms (180, 140, 120, and 105-115 kDa) of which are present in brain. N-CAM has several roles in cellular organization and CNS development. Previously we have found an elevation in CSF N-CAM 120 kDa in the CSF of patients with schizophrenia, bipolar disorder, and depression. We now report an increase in the variable alternative spliced exon (VASE), a 10 amino acid sequence inserted into the fourth N-CAM domain, in the CSF of patients with schizophrenia, but not in bipolar disorder or depression. VASE-immunoreactive (VASE-ir) bands were measured in CSF from patients with schizophrenia (n = 14), bipolar disorder I (n = 7), bipolar disorder II (n = 9), unipolar depression (n = 17) and matched controls (n = 37) by Western immunoblotting. Three VASE-ir bands were distinguished in lumbar CSF corresponding to heavy (165 kDa), medium (155 kDa) and low (140 kDa) MW. A logarithmic transformation was applied to the VASE protein units and analyzed with a MANOVA. There was a 51% and 45% increase in VASE heavy (p = 0.0008) and medium (p = 0.04) MW protein, respectively, in patients with schizophrenia as compared with normal controls. Current neuroleptic treatment in patients with schizophrenia had no effect on CSF VASE concentrations. VASE concentration correlated significantly with behavioral ratings in patients with schizophrenia but not affective disorders. Thus, VASE immunoreactivity is increased in schizophrenia but not in affective disorders. These results provide further evidence of an abnormality of N-CAM protein in chronic schizophrenia and suggest differences between schizophrenia and affective disorders in regulation of N-CAM.
- Published
- 2000
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41. Targets of polyamine dysregulation in major depression and suicide: Activity-dependent feedback, excitability, and neurotransmission
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Limon, Agenor, primary, Mamdani, Firoza, additional, Hjelm, Brooke E., additional, Vawter, Marquis P., additional, and Sequeira, Adolfo, additional
- Published
- 2016
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42. Abnormal Expression of Cell Recognition Molecules in Schizophrenia
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Dale M. VanderPutten, Marquis P. Vawter, Joel E. Kleinman, John J. Hemperly, H. Eleanor Cannon-Spoor, William J. Freed, and Thomas M. Hyde
- Subjects
Gene isoform ,Psychosis ,Bipolar Disorder ,animal structures ,Cell Adhesion Molecules, Neuronal ,Prefrontal Cortex ,Hippocampus ,Developmental Neuroscience ,Reference Values ,mental disorders ,Gene expression ,medicine ,Humans ,Prefrontal cortex ,Neural Cell Adhesion Molecules ,Membrane Glycoproteins ,Brain morphometry ,Middle Aged ,medicine.disease ,Suicide ,Neurology ,Schizophrenia ,Neural cell adhesion molecule ,Psychology ,Leukocyte L1 Antigen Complex ,Neuroscience - Abstract
Schizophrenia is a neuropsychiatric disorder of unknown etiology associated with subtle changes in brain morphology. The cell recognition molecules (CRMs) neural cell adhesion molecule (N-CAM) and L1 are involved in morphoregulatory events and numerous neurodevelopmental processes. We found a selective increase of 105- to 115-kDa N-CAM in the hippocampus and prefrontal cortex of patients with schizophrenia while other N-CAM isoforms and L1 proteins were not altered. There was also evidence for an abnormality in CRM expression in schizophrenic patients: concentrations of 200-kDa L1 were strongly correlated with expression of N-CAM isoforms and cleaved L1 proteins in controls, whereas these correlations were absent in patients with schizophrenia. The increase of the 105- to 115-kDa N-CAM isoform in the brains of patients with schizophrenia confirms previous cerebrospinal fluid findings. Increased N-CAM in schizophrenia may result from structural brain abnormalities, from glial processing of N-CAM, or from an aberration in the regulation of N-CAM expression.
- Published
- 1998
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43. Vasopressin fragment, AVP-(4–8), improves long-term and short-term memory in the hole board search task
- Author
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D. de Wied, J.M. van Ree, and Marquis P. Vawter
- Subjects
Male ,Vasopressin ,medicine.medical_specialty ,Spatial Behavior ,Short-term memory ,Neuropeptide ,Placebo ,Task (project management) ,Developmental psychology ,Cellular and Molecular Neuroscience ,Hormone Antagonists ,Endocrinology ,Memory ,Internal medicine ,medicine ,Animals ,Rats, Wistar ,Analysis of Variance ,Hole-board test ,Dose-Response Relationship, Drug ,Endocrine and Autonomic Systems ,Working memory ,Reproducibility of Results ,Repeated measures design ,General Medicine ,Peptide Fragments ,Rats ,Arginine Vasopressin ,Memory, Short-Term ,Neurology ,Psychology - Abstract
The hole board search task (HBST) measures long-term and short-term memory, operationally defined as reference memory and working memory. The HBST is an open-field spatial learning test. Previously, we have shown that desglycinamide(Arg8) vasopressin (DGAVP) modulated reference memory, working memory, spatial sequence memory, and learning in the HBST in a dose-dependent manner (Vawter MP, Van Ree JM. Effects of des-glycinamide-sup-9-(arginine-sup-8) vasopressin upon spatial memory in the hole-board search task. Psychobiology 1995; 23: 45-51). To examine the potential active site of the DGAVP molecule, the fragment of the vasopressin amino acid sequence, [pGlu4,Cyt6]AVP-(4-8) (AVP-(4-8)), was administered 1 h prior to training in the HBST. Three groups received either 0, 0.3 microgram, or 1 microgram AVP-(4-8). A repeated measures MANOVA showed the AVP-(4-8) pretreatment factor to be significant (P = 0.048) on the reference memory measure, but not the working memory or learning measures. Interactions between peptide x sessions for reference memory (P = 0.015), working memory (P = 0.003) and learning (P = 0.010) indicated differences in improvement over sessions between placebo- and peptide-treated groups. Post hoc comparisons revealed that the AVP-(4-8) fragment in a dose of 0.3 microgram increased reference memory on the fourth, fifth and sixth acquisition sessions compared with placebo or 1 microgram AVP-(4-8) pretreated groups. Working memory and errors were significantly lowered by 0.3 microgram AVP-(4-8) on the first acquisition session when compared with placebo pretreatment. Thus, AVP-(4-8) improves long-term and short-term memory scores in the HBST, similar to previous results with DGAVP. However, AVP-(4-8) appears twice as potent than DGAVP in improving long-term memory scores in the HBST. The data suggest that the memory modulating property of DGAVP is contained within the amino acid sequence of the AVP-(4-8) peptide.
- Published
- 1997
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44. Human Olfactory Neuroepithelial Cells: Tyrosine Phosphorylation and Process Extension Are Increased by the Combination of IL-1β, IL-6, NGF, and bFGF
- Author
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William J. Freed, David S. Lester, Henrietta Kulaga, Robert S. Lebovics, Jasna Basaric-Keys, Trey Sunderland, Benjamin Wolozin, Yunhua Li, K. Peter Lesch, and Marquis P. Vawter
- Subjects
Basic fibroblast growth factor ,Peripherins ,Epithelium ,chemistry.chemical_compound ,GAP-43 Protein ,Intermediate Filament Proteins ,Neurofilament Proteins ,Neurotrophic factors ,Protein phosphorylation ,Phosphorylation ,Intermediate filament ,Neural Cell Adhesion Molecules ,Membrane Glycoproteins ,biology ,Cell Differentiation ,Olfactory Pathways ,Protein-Tyrosine Kinases ,Flow Cytometry ,Immunohistochemistry ,Cell biology ,Neurology ,Fibroblast Growth Factor 2 ,Neprilysin ,Microtubule-Associated Proteins ,Signal Transduction ,Neurotrophin ,Olfactory Nerve ,Nerve Tissue Proteins ,CD13 Antigens ,Olfactory Receptor Neurons ,Olfactory Mucosa ,Developmental Neuroscience ,Antigens, CD ,GTP-Binding Proteins ,Receptors, Transferrin ,Humans ,Vimentin ,Nerve Growth Factors ,CD40 Antigens ,Eye Proteins ,Interleukin-6 ,Neuropeptides ,Tyrosine phosphorylation ,Molecular biology ,Antigens, Differentiation, B-Lymphocyte ,Cytoskeletal Proteins ,Nerve growth factor ,chemistry ,biology.protein ,Tyrosine ,Biomarkers ,Interleukin-1 - Abstract
Olfactory neuroepithelial cells (ONC) grown from biopsies of human donors are a novel cell culture system that may facilitate studies into normal and disease-related human neurobiology. We further characterized the expression of cell surface markers and intermediate filaments, and responses to neurotrophic factors by ONC. ONC are positive for cell surface markers N-CAM, PSA-N-CAM, neutral endopeptidase, N-aminopeptidase, NGF low-affinity receptor homologue (CD40), and transferrin receptor by flow cytometry for the intermediate filament proteins peripherin, vimentin, and NF-H by immunocytochemistry. Responses to neurotrophic factors measured were process outgrowth, cytoskeletal protein expression, and protein phosphorylation. Process outgrowth was increased by interleukin-beta 164-171 (IL-1beta) or by the combination of IL-1beta, interleukin-6 (IL-6), nerve growth factor (NGF), and basic fibroblast growth factor (bFGF). This combination of IL-1beta, IL-6, NGF, and bFGF (16NF) increased expression of two cytoskeletal proteins, NF-H protein and microtubule-associated protein tau. Application of the individual neurotrophic factors IL-1beta, IL-6, NGF, and bFGF increased protein phosphorylation, while 16NF produced an immediate increase in tyrosine phosphorylation of several proteins (MW of 40-80, 120, 150, and 190 kDa). The 16NF combination appears to act through a tyrosine-kinase-mediated pathway to induce process extension and increase NF-H expression. The ONC culture has the potential to be further explored to examine the relationship among process outgrowth, protein phosphorylation, and synergy between neurotrophin and cytokine receptor systems.
- Published
- 1996
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45. Measuring the Impact of Secondary Progressive Multiple Sclerosis (Spms) in the Ascend Trial: Equating the Msis-29, Msws-12, Abilhand-56 and Sf-36
- Author
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Cano, S, primary, Cleanthous, S, additional, Marquis, P, additional, Hobart, J, additional, Naoshy, S, additional, Mikol, D, additional, Petrillo, J, additional, Steiner, D, additional, and Watson, C, additional
- Published
- 2015
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46. Measuring the Impact of Multiple Sclerosis: Enhancing the Performance of the Msis-29 and Msws-12
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Cano, S, primary, Cleanthous, S, additional, Marquis, P, additional, Hobart, J, additional, Naoshy, S, additional, Mikol, D, additional, Petrillo, J, additional, Steiner, D, additional, and Watson, C, additional
- Published
- 2015
- Full Text
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47. Measuring Upper Limb Function In Multiple Sclerosis: Enhancing The Abilhand’s Performance
- Author
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Cano, S., primary, Cleanthous, S., additional, Marquis, P., additional, Hobart, J., additional, Naoshy, S., additional, Mikol, D., additional, Petrillo, J., additional, Steiner, D., additional, Chen, Y., additional, and Watson, C., additional
- Published
- 2015
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48. The somatic common deletion in mitochondrial DNA is decreased in schizophrenia
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Mamdani, Firoza, primary, Rollins, Brandi, additional, Morgan, Ling, additional, Sequeira, P. Adolfo, additional, and Vawter, Marquis P., additional
- Published
- 2014
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49. Peripheral Biomarkers Revisited: Integrative Profiling of Peripheral Samples for Psychiatric Research
- Author
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Hayashi-Takagi, Akiko, primary, Vawter, Marquis P., additional, and Iwamoto, Kazuya, additional
- Published
- 2014
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50. Dyspraxie diagonistique de développement aigu chez un patient porteur d’une agénésie calleuse congénitale
- Author
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Beltramone, M., primary, Aubert, S., additional, Tramoni, E., additional, Marquis, P., additional, Guye, M., additional, Ceccaldi, M., additional, and Felician, O., additional
- Published
- 2014
- Full Text
- View/download PDF
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