Case–Control Association Study of 59 Candidate Genes Reveals the DRD2
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bioRxiv preprint doi: https://doi.org/10.1101/2020.09.10.288951; this version posted September 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Coordination of two enhancers drives expression of olfactory trace amine- associated receptors Aimei Fei1,8, Wanqing Wu1,8, Longzhi Tan3,8, Cheng Tang4,8, Zhengrong Xu1, Xiaona Huo4, Hongqiang Bao1, Mark Johnson5, Griffin Hartmann5, Mustafa Talay5, Cheng Yang1, Clemens Riegler6, Kristian Joseph6, Florian Engert6, X. Sunney Xie3, Gilad Barnea5, Stephen D. Liberles7, Hui Yang4, and Qian Li1,2,* 1Center for Brain Science, Shanghai Children's Medical Center, Department of Anatomy and Physiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; 2Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai 201210, China; 3Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; 4Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brian-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; 5Department of Neuroscience, Division of Biology and Medicine, Brown University, Providence, RI 02912, USA; 6Department of Molecular and Cellular Biology and Center for Brain Science, Harvard University, Cambridge, MA 02138, USA; 7Howard Hughes Medical Institute, Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA; 8These authors contributed equally to this work. *Correspondence to [email protected], phone: +86-21-63846590 ext. 776985 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.10.288951; this version posted September 11, 2020. -
Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources
Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources Chung-Feng Kao1, Yu-Sheng Fang2, Zhongming Zhao3, Po-Hsiu Kuo1,2,4* 1 Department of Public Health and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan, 2 Institute of Clinical Medicine, School of Medicine, National Cheng-Kung University, Tainan, Taiwan, 3 Departments of Biomedical Informatics and Psychiatry, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 4 Research Center for Genes, Environment and Human Health, National Taiwan University, Taipei, Taiwan Abstract Background: Large scale and individual genetic studies have suggested numerous susceptible genes for depression in the past decade without conclusive results. There is a strong need to review and integrate multi-dimensional data for follow up validation. The present study aimed to apply prioritization procedures to build-up an evidence-based candidate genes dataset for depression. Methods: Depression candidate genes were collected in human and animal studies across various data resources. Each gene was scored according to its magnitude of evidence related to depression and was multiplied by a source-specific weight to form a combined score measure. All genes were evaluated through a prioritization system to obtain an optimal weight matrix to rank their relative importance with depression using the combined scores. The resulting candidate gene list for depression (DEPgenes) was further evaluated by a genome-wide association (GWA) dataset and microarray gene expression in human tissues. Results: A total of 5,055 candidate genes (4,850 genes from human and 387 genes from animal studies with 182 being overlapped) were included from seven data sources. -
309 Molecular Role of Dopamine in Anhedonia Linked to Reward
[Frontiers In Bioscience, Scholar, 10, 309-325, March 1, 2018] Molecular role of dopamine in anhedonia linked to reward deficiency syndrome (RDS) and anti- reward systems Mark S. Gold8, Kenneth Blum,1-7,10 Marcelo Febo1, David Baron,2 Edward J Modestino9, Igor Elman10, Rajendra D. Badgaiyan10 1Department of Psychiatry, McKnight Brain Institute, University of Florida, College of Medicine, Gainesville, FL, USA, 2Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of South- ern California, Los Angeles, CA, USA, 3Global Integrated Services Unit University of Vermont Center for Clinical and Translational Science, College of Medicine, Burlington, VT, USA, 4Department of Addiction Research, Dominion Diagnostics, LLC, North Kingstown, RI, USA, 5Center for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purbe Medinpur, West Bengal, India, 6Division of Neuroscience Research and Therapy, The Shores Treatment and Recovery Center, Port St. Lucie, Fl., USA, 7Division of Nutrigenomics, Sanus Biotech, Austin TX, USA, 8Department of Psychiatry, Washington University School of Medicine, St. Louis, Mo, USA, 9Depart- ment of Psychology, Curry College, Milton, MA USA,, 10Department of Psychiatry, Wright State University, Boonshoft School of Medicine, Dayton, OH ,USA. TABLE OF CONTENTS 1. Abstract 2. Introduction 3. Anhedonia and food addiction 4. Anhedonia in RDS Behaviors 5. Anhedonia hypothesis and DA as a “Pleasure” molecule 6. Reward genes and anhedonia: potential therapeutic targets 7. Anti-reward system 8. State of At of Anhedonia 9. Conclusion 10. Acknowledgement 11. References 1. ABSTRACT Anhedonia is a condition that leads to the loss like “anti-reward” phenomena. These processes of feelings pleasure in response to natural reinforcers may have additive, synergistic or antagonistic like food, sex, exercise, and social activities. -
Trace Amine-Associated Receptor 1 Activation Regulates Glucose-Dependent
Trace amine-associated receptor 1 activation regulates glucose-dependent insulin secretion in pancreatic beta cells in vitro by ©Arun Kumar A thesis submitted to the School of Graduate Studies in partial fulfillment of the requirements for the degree of Master of Science Department of Biochemistry, Faculty of Science Memorial University of Newfoundland FEBRUARY 2021 St. John’s, Newfoundland and Labrador i Abstract Trace amines are a group of endogenous monoamines which exert their action through a family of G protein-coupled receptors known as trace amine-associated receptors (TAARs). TAAR1 has been reported to regulate insulin secretion from pancreatic beta cells in vitro and in vivo. This study investigates the mechanism(s) by which TAAR1 regulates insulin secretion. The insulin secreting rat INS-1E -cell line was used for the study. Cells were pre-starved (30 minutes) and then incubated with varying concentrations of glucose (2.5 – 20 mM) or KCl (3.6 – 60 mM) for 2 hours in the absence or presence of various concentrations of the selective TAAR1 agonist RO5256390. Secreted insulin per well was quantified using ELISA and normalized to the total protein content of individual cultures. RO5256390 significantly (P < 0.0001) increased glucose- stimulated insulin secretion in a dose-dependent manner, with no effect on KCl-stimulated insulin secretion. Affymetrix-microarray data analysis identified genes (Gnas, Gng7, Gngt1, Gria2, Cacna1e, Kcnj8, and Kcnj11) whose expression was associated with changes in TAAR1 in response to changes in insulin secretion in pancreatic beta cell function. The identified potential links to TAAR1 supports the regulation of glucose-stimulated insulin secretion through KATP ion channels. -
TRAR4 (TAAR6) (NM 175067) Human Tagged ORF Clone Lentiviral Particle Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC220756L3V TRAR4 (TAAR6) (NM_175067) Human Tagged ORF Clone Lentiviral Particle Product data: Product Type: Lentiviral Particles Product Name: TRAR4 (TAAR6) (NM_175067) Human Tagged ORF Clone Lentiviral Particle Symbol: TAAR6 Synonyms: TA4; taR-4; taR-6; TAR4; TAR6; TRAR4 Vector: pLenti-C-Myc-DDK-P2A-Puro (PS100092) ACCN: NM_175067 ORF Size: 1035 bp ORF Nucleotide The ORF insert of this clone is exactly the same as(RC220756). Sequence: OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_175067.1, NP_778237.1 RefSeq Size: 1038 bp RefSeq ORF: 1038 bp Locus ID: 319100 UniProt ID: Q96RI8 Protein Families: Druggable Genome, GPCR, Transmembrane Protein Pathways: Neuroactive ligand-receptor interaction MW: 38.3 kDa Gene Summary: This gene encodes a seven-transmembrane G-protein-coupled receptor that likely functions as a receptor for endogenous trace amines. Mutations in this gene may be associated with schizophrenia.[provided by RefSeq, Feb 2010] This product is to be used for laboratory only. -
Edinburgh Research Explorer
Edinburgh Research Explorer International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list Citation for published version: Davenport, AP, Alexander, SPH, Sharman, JL, Pawson, AJ, Benson, HE, Monaghan, AE, Liew, WC, Mpamhanga, CP, Bonner, TI, Neubig, RR, Pin, JP, Spedding, M & Harmar, AJ 2013, 'International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list: recommendations for new pairings with cognate ligands', Pharmacological reviews, vol. 65, no. 3, pp. 967-86. https://doi.org/10.1124/pr.112.007179 Digital Object Identifier (DOI): 10.1124/pr.112.007179 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Pharmacological reviews Publisher Rights Statement: U.S. Government work not protected by U.S. copyright General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 02. Oct. 2021 1521-0081/65/3/967–986$25.00 http://dx.doi.org/10.1124/pr.112.007179 PHARMACOLOGICAL REVIEWS Pharmacol Rev 65:967–986, July 2013 U.S. -
Pharmacogenomic Characterization in Bipolar Spectrum Disorders
pharmaceutics Review Pharmacogenomic Characterization in Bipolar Spectrum Disorders Stefano Fortinguerra 1,2 , Vincenzo Sorrenti 1,2,3 , Pietro Giusti 2, Morena Zusso 2 and Alessandro Buriani 1,2,* 1 Maria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35131 Padova, Italy; [email protected] (S.F.); [email protected] (V.S.) 2 Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; [email protected] (P.G.); [email protected] (M.Z.) 3 Bendessere™ Study Center, Solgar Italia Multinutrient S.p.A., 35131 Padova, Italy * Correspondence: [email protected] Received: 25 November 2019; Accepted: 19 December 2019; Published: 21 December 2019 Abstract: The holistic approach of personalized medicine, merging clinical and molecular characteristics to tailor the diagnostic and therapeutic path to each individual, is steadily spreading in clinical practice. Psychiatric disorders represent one of the most difficult diagnostic challenges, given their frequent mixed nature and intrinsic variability, as in bipolar disorders and depression. Patients misdiagnosed as depressed are often initially prescribed serotonergic antidepressants, a treatment that can exacerbate a previously unrecognized bipolar condition. Thanks to the use of the patient’s genomic profile, it is possible to recognize such risk and at the same time characterize specific genetic assets specifically associated with bipolar spectrum disorder, as well as with the individual response to the various therapeutic options. This provides the basis for molecular diagnosis and the definition of pharmacogenomic profiles, thus guiding therapeutic choices and allowing a safer and more effective use of psychotropic drugs. Here, we report the pharmacogenomics state of the art in bipolar disorders and suggest an algorithm for therapeutic regimen choice. -
Gene Polymorphisms of Serotonin Receptors and Drug-Induced Hyperprolactinemia in Patients with Schizophrenia
Poster number: P.3.b.037 Gene polymorphisms of serotonin receptors and drug-induced hyperprolactinemia in patients with schizophrenia Diana Z. Оsmanova1, Anastasia S. Boiko1, Olga Yu. Fedorenko1, Ivan V. Pozhidaev1, M.B. Freidin1 Elena G. Kornetova1, Svetlana A. Ivanova1 , Bob Wilffert2, Anton J.M. Loonen2 1. Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia 2. Department of Pharmacy, University of Groningen, Groningen, The Netherlands BACKGROUND RESULTS Antipsychotic drug-induced hyperprolactinemia is an All patients with schizophrenia were divided into two increasingly prevalent problem in current psychiatric practice and groups: those with and without hyperprolactinemia. Patients responsible for troublesome side effects like loss of libido and from both groups were genotyped for HTR1A variants: rs6295, impotence. The chance to develop hyperprolactinemia depends rs1364043, rs10042486, rs1800042, rs749099; for HTR1B: upon the pharmacological properties of antipsychotic medication rs6298, rs6296, rs130058; for HTR2A: rs6311, rs6313, rs6314, used, of its dosage and treatment duration, as well as from the rs7997012, rs1928040, rs9316233, rs2224721, rs6312; for genetic make-up and other characteristics which determine the HTR2C: rs6318, rs5946189, rs569959, rs17326429, rs4911871, individual sensitivity of the individual patient. rs3813929, rs1801412, rs12858300; for HTR3A: rs1062613, Second generation antipsychotics are (often) more potent rs33940208, rs1176713; for HTR3B: -
Supplemental Table 1. Complete Gene Lists and GO Terms from Figure 3C
Supplemental Table 1. Complete gene lists and GO terms from Figure 3C. Path 1 Genes: RP11-34P13.15, RP4-758J18.10, VWA1, CHD5, AZIN2, FOXO6, RP11-403I13.8, ARHGAP30, RGS4, LRRN2, RASSF5, SERTAD4, GJC2, RHOU, REEP1, FOXI3, SH3RF3, COL4A4, ZDHHC23, FGFR3, PPP2R2C, CTD-2031P19.4, RNF182, GRM4, PRR15, DGKI, CHMP4C, CALB1, SPAG1, KLF4, ENG, RET, GDF10, ADAMTS14, SPOCK2, MBL1P, ADAM8, LRP4-AS1, CARNS1, DGAT2, CRYAB, AP000783.1, OPCML, PLEKHG6, GDF3, EMP1, RASSF9, FAM101A, STON2, GREM1, ACTC1, CORO2B, FURIN, WFIKKN1, BAIAP3, TMC5, HS3ST4, ZFHX3, NLRP1, RASD1, CACNG4, EMILIN2, L3MBTL4, KLHL14, HMSD, RP11-849I19.1, SALL3, GADD45B, KANK3, CTC- 526N19.1, ZNF888, MMP9, BMP7, PIK3IP1, MCHR1, SYTL5, CAMK2N1, PINK1, ID3, PTPRU, MANEAL, MCOLN3, LRRC8C, NTNG1, KCNC4, RP11, 430C7.5, C1orf95, ID2-AS1, ID2, GDF7, KCNG3, RGPD8, PSD4, CCDC74B, BMPR2, KAT2B, LINC00693, ZNF654, FILIP1L, SH3TC1, CPEB2, NPFFR2, TRPC3, RP11-752L20.3, FAM198B, TLL1, CDH9, PDZD2, CHSY3, GALNT10, FOXQ1, ATXN1, ID4, COL11A2, CNR1, GTF2IP4, FZD1, PAX5, RP11-35N6.1, UNC5B, NKX1-2, FAM196A, EBF3, PRRG4, LRP4, SYT7, PLBD1, GRASP, ALX1, HIP1R, LPAR6, SLITRK6, C16orf89, RP11-491F9.1, MMP2, B3GNT9, NXPH3, TNRC6C-AS1, LDLRAD4, NOL4, SMAD7, HCN2, PDE4A, KANK2, SAMD1, EXOC3L2, IL11, EMILIN3, KCNB1, DOK5, EEF1A2, A4GALT, ADGRG2, ELF4, ABCD1 Term Count % PValue Genes regulation of pathway-restricted GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, SMAD protein phosphorylation 9 6.34 1.31E-08 ENG pathway-restricted SMAD protein GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, phosphorylation -
Pharmacogenetics of Antidepressants, a Review Of
al Depres ic sio lin n C Reyes-Barron et al., Clin Depress 2016, 2:2 Clinical Depression Research Article Article OpenOpen Access Access Pharmacogenetics of Antidepressants, A Review of Significant Genetic Variants in Different Populations Cynthia Reyes-Barron1, Silvina Tonarelli1, Andrew Delozier1, David F. Briones1, Brenda B. Su2, Lewis P. Rubin1 and Chun Xu1* 1Texas Tech University Health Sciences Centre, Paul L. Foster School of Medicine 2College of Medicine and Health Sciences, UAE University, Department of Internal Medicine Abstract Major depressive disorder is a highly prevalent disease that is challenging to treat, often requiring medication and dose adjustments. Genetic factors play an important role in psychotropic medication responses. However, the translation of pharmacogenetics findings to clinical recommendations with regards to antidepressant responses is still in its early stages. We reviewed recent primary research articles, meta-analyses, and reviews on the pharmacogenetics of antidepressant treatment for major depressive disorder in different populations. We identified eight genes with likely associations with treatment responses and summarized genetic variants most likely to influence treatment responses. We determined the frequency of these variants in Caucasian, Asian, Hispanic, and African American populations. The genes are related to functions in drug metabolism, transport, signalling, stress response, and neuroplasticity. Clinical recommendations already exist for CYP2D6 and CYP2C19 cytochrome P450 drug metabolism genes. The other genes are: ABCB1 with single nucleotide polymorphisms (SNPs) rs2032583 and rs2235015; FKBP5 with SNPs rs1360780, rs3800373, and rs4713916; GNB3 with SNP rs5443; BDNF with SNP rs6265; HTR2A with SNPs rs7997012 and rs6313; and SLC6A4 with polymorphisms 5-HTTLPR and STin2. There is significant variability of the frequencies of these polymorphisms in the different populations we reviewed. -
A Serotonin Receptor with a Possible Role in Joint Diseases
Anders Kling 5-HT2 A – a serotonin receptor with a possible role in joint diseases role with a possible receptor – a serotonin 5-HT2A – a serotonin receptor with a possible role in joint diseases Anders Kling Umeå University 2013 Umeå University Department of Pharmacology and Clinical Neuroscience New Serie 1547 Department of Pharmacology and Clinical Neurosciences Umeå University ISSN: 0346-6612 Umeå University, Sweden 2013 SE-901 87 Umeå, Sweden ISBN 978-91-7459-549-9 5-HT2A – a serotonin receptor with a possible role in joint diseases Anders Kling Institutionen för farmakologi och klinisk neurovetenskap, Klinisk farmakologi/ Department of Pharmacology and Clinical Neuroscience, Clinical Pharmacology Umeå universitet/ Umeå University Umeå 2013 Responsible publisher under swedish law: the Dean of the Medical Faculty This work is protected by the Swedish Copyright Legislation (Act 1960:729) ISBN: 978-91-7459-549-9 ISSN: 0346-6612 New series No: 1547 Elektronisk version tillgänglig på http://umu.diva-portal.org/ Tryck/Printed by: Print och Media, Umeå universitet Umeå, Sweden 2013 Innehåll/Table of Contents Innehåll/Table of Contents i Abstract iv Abbreviations vi List of studies viii Populärvetenskaplig sammanfattning ix 5-HT2A – en serotoninreceptor med möjlig betydelse för ledsjukdomar ix Introduction 1 The serotonin system 1 Serotonin 1 Serotonin receptors 2 The serotonin system and platelets 2 Serotonin receptor 5-HT2A 3 Localisation/expression of 5-HT2A receptors 3 Functions of the 5-HT2A receptor 4 Regulation of the 5-HT2A receptor -
Molecular Genetics of Human Personality Traits for Psychiatric, Behav- Ioral, and Substance-Related Disorders Eugene Lin*,1 and Po See Chen*,2,3
The Open Translational Medicine Journal, 2009, 1, 1-8 1 Open Access Molecular Genetics of Human Personality Traits for Psychiatric, Behav- ioral, and Substance-Related Disorders Eugene Lin*,1 and Po See Chen*,2,3 1Vita Genomics, Inc., 7 Fl., No. 6, Sec. 1, Jung-Shing Road, Wugu Shiang, Taipei, Taiwan 2Department of Psychiatry, National Cheng Kung University, Tainan, Taiwan 3National Cheng Kung University Hospital and Dou-Liou Branch, Taiwan Abstract: The investigation of personality genetics had received much attention since the three seminal reports showing an association between genes and personality traits in the general population. Accumulating evidences suggested that per- sonality traits have significant genetic components. Although currently available data are not enough for proof, more and more genetic variants associated with personality traits are being discovered. In this paper, we review related studies of gene polymorphisms and human personality traits for psychiatric, behavioral, and substance-related disorders. First, we briefly describe the commonly-used self-reported temperament measures that define personality dimensions. Then, we summarize the characteristics of the candidate genes for personality traits, and investigate gene variants which have been suggested to be linked with personality traits for individuals with psychiatric, behavioral, and substance-related disorders. Keywords: Molecular genetics, personality, psychiatric disorders, temperament measures. 1. INTRODUCTION and 5-HTTLPR but not other anxiety-related personality traits [14,15]. The investigation of personality genetics had received much attention since the three seminal reports [1-3] in 1996 We reviewed related studies of gene polymorphisms and showing an association between genes and personality traits human personality traits for psychiatric, behavioral, and sub- in the general population.