Bipolar Disorder with Binge Eating Behavior: a Genome-Wide Association Study Implicates PRR5-ARHGAP8 Susan L
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Maria João Abordagem À Regulação Da Mobilidade Do Martinho De Freitas Espermatozoide Através Da Caracterização E Modulação Da Via De Sinalização GSK3/PPP1R2/PPP1
Universidade de Aveiro Departamento de Biologia Ano 2018 Maria João Abordagem à regulação da mobilidade do Martinho de Freitas espermatozoide através da caracterização e modulação da via de sinalização GSK3/PPP1R2/PPP1 Addressing sperm motility regulation through characterization and modulation of the GSK3/PPP1R2/PPP1 signaling pathway Universidade de Aveiro Departamento de Biologia Ano 2018 Maria João Abordagem à regulação da mobilidade do Martinho de Freitas espermatozoide através da caracterização e modulação da via de sinalização GSK3/PPP1R2/PPP1 Addressing sperm motility regulation through characterization and modulation of the GSK3/PPP1R2/PPP1 signaling pathway Tese apresentada à Universidade de Aveiro para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Biologia, realizada sob a orientação científica da Doutora Margarida de Sâncio da Cruz Fardilha, Professora Professora Auxiliar do Departamento de Ciências Médicas da Universidade de Aveiro e do Doutor Srinivasan Vijayaraghavan, Professor Professor Auxiliar do Departamento de Ciências Biológicas da Kent State University. Este trabalho é financiado por Fundos FEDER através do Programa Operacional Fatores de Competitividade-COMPETE e por Fundos Nacionais através da FCT- Fundação para a Ciência e a Tecnologia no âmbito dos projetos «PTDC/DTP-PIC/0460/2012»; «PTDB/BBB-BQB/3804/2014»; «NIH R15 HD068971-01»; da bolsa individual «SFRH/BD/84876/2012»; e do instituto de Biomedicina- iBiMED «UID/BIM/04501/2013». o júri presidente Professor Doutor Amadeu Mortágua Velho -
Obesity with Comorbid Eating Disorders: Associated Health Risks and Treatment Approaches
nutrients Commentary Obesity with Comorbid Eating Disorders: Associated Health Risks and Treatment Approaches Felipe Q. da Luz 1,2,3,* ID , Phillipa Hay 4 ID , Stephen Touyz 2 and Amanda Sainsbury 1,2 ID 1 The Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, Faculty of Medicine and Health, Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia; [email protected] 2 Faculty of Science, School of Psychology, the University of Sydney, Camperdown, NSW 2006, Australia; [email protected] 3 CAPES Foundation, Ministry of Education of Brazil, Brasília, DF 70040-020, Brazil 4 Translational Health Research Institute (THRI), School of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia; [email protected] * Correspondence: [email protected]; Tel.: +61-02-8627-1961 Received: 11 May 2018; Accepted: 25 June 2018; Published: 27 June 2018 Abstract: Obesity and eating disorders are each associated with severe physical and mental health consequences, and individuals with obesity as well as comorbid eating disorders are at higher risk of these than individuals with either condition alone. Moreover, obesity can contribute to eating disorder behaviors and vice-versa. Here, we comment on the health complications and treatment options for individuals with obesity and comorbid eating disorder behaviors. It appears that in order to improve the healthcare provided to these individuals, there is a need for greater exchange of experiences and specialized knowledge between healthcare professionals working in the obesity field with those working in the field of eating disorders, and vice-versa. Additionally, nutritional and/or behavioral interventions simultaneously addressing weight management and reduction of eating disorder behaviors in individuals with obesity and comorbid eating disorders may be required. -
Eating Disorders: About More Than Food
Eating Disorders: About More Than Food Has your urge to eat less or more food spiraled out of control? Are you overly concerned about your outward appearance? If so, you may have an eating disorder. National Institute of Mental Health What are eating disorders? Eating disorders are serious medical illnesses marked by severe disturbances to a person’s eating behaviors. Obsessions with food, body weight, and shape may be signs of an eating disorder. These disorders can affect a person’s physical and mental health; in some cases, they can be life-threatening. But eating disorders can be treated. Learning more about them can help you spot the warning signs and seek treatment early. Remember: Eating disorders are not a lifestyle choice. They are biologically-influenced medical illnesses. Who is at risk for eating disorders? Eating disorders can affect people of all ages, racial/ethnic backgrounds, body weights, and genders. Although eating disorders often appear during the teen years or young adulthood, they may also develop during childhood or later in life (40 years and older). Remember: People with eating disorders may appear healthy, yet be extremely ill. The exact cause of eating disorders is not fully understood, but research suggests a combination of genetic, biological, behavioral, psychological, and social factors can raise a person’s risk. What are the common types of eating disorders? Common eating disorders include anorexia nervosa, bulimia nervosa, and binge-eating disorder. If you or someone you know experiences the symptoms listed below, it could be a sign of an eating disorder—call a health provider right away for help. -
Mapping of Quantitative Trait Loci for Milk Yield Traits on Bovine Chromosome 5 in the Fleckvieh Cattle
From the Department of Veterinary Sciences Faculty of Veterinary Medicine Ludwig-Maximilians-Universität München Arbeit angefertigt unter der Leitung von Univ. Prof. Dr. Dr. habil. Martin Förster Mapping of Quantitative Trait Loci for Milk Yield Traits on Bovine Chromosome 5 in the Fleckvieh Cattle Inaugural–Dissertation For the attainment of Doctor Degree in Veterinary Medicine From the Faculty of Veterinary Medicine of the Ludwig-Maximilians-Universität München by Ashraf Fathy Said Awad from Sharkia- Egypt München 2011 Gedruckt mit Genehmigung der Tierärztlichen Fakultät der Ludwig–Maximilians–Universität München Dekan: Univ. Prof. Dr. Braun Berichterstatter: Univ. Prof. Dr. Dr. habil Förster Korreferent: Univ. Prof. Dr. Mansfeld Tag der Promotion: 12. February 2011 This work is dedicated to My Parents, my wife and my lovely daughters; Sama, Shaza, Hana CONTENTS CONTENTS ABBREVIATION……………………………………………………………… IV CHAPTER 1: GENERAL INTRODUCTION……………………………….. 1 CHAPTER 2: REVIEW OF LITERATURE………………………………… 3 2.1. DNA Markers……………………………………………………….. 3 2.1.1. Microsatellites………………………………………………………….. 3 2.1.2. Single Nucleotide Polymorphism (SNPs)…………………………… 4 2.2. Mapping of Quantitative Trait Loci (QTL)…………………….. 5 2.2.1. QTL Mapping Designs………………………………………………... 6 2.2.1.1. Daughter Design………………………………………………... 6 2.2.1.2. Granddaughter Design………………………………………… 7 2.2.1.3. Complex Pedigree Design…………………………………….. 9 2.2.2. QTL Mapping Strategies……………………………………………… 10 2.2.2.1. Candidate Gene Approach……………………………………. 10 2.2.2.2. Genome Scan Approach……………………………………… 11 2.3. Principles of Linkage Mapping…………………………………. 12 2.4. QTL Fine Mapping………………………………………………… 14 2.4.1. Linkage Disequilibrium……………………………………………… 15 2.4.2. Combined Linkage Disequilibrium and Linkage (LDL) Mapping… 17 2.5. Identification of Candidate Genes……………………………… 18 2.6. -
Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1
[CANCER RESEARCH 63, 1382–1388, March 15, 2003] Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1 Ana I. Jimenez, Paloma Fernandez, Orlando Dominguez, Ana Dopazo, and Montserrat Sanchez-Cespedes2 Molecular Pathology Program [A. I. J., P. F., M. S-C.], Genomics Unit [O. D.], and Microarray Analysis Unit [A. D.], Spanish National Cancer Center, 28029 Madrid, Spain ABSTRACT the cell cycle in G1 (8, 9). However, the intrinsic mechanism by which LKB1 activity is regulated in cells and how it leads to the suppression Germ-line mutations in LKB1 gene cause the Peutz-Jeghers syndrome of cell growth is still unknown. It has been proposed that growth (PJS), a genetic disease with increased risk of malignancies. Recently, suppression by LKB1 is mediated through p21 in a p53-dependent LKB1-inactivating mutations have been identified in one-third of sporadic lung adenocarcinomas, indicating that LKB1 gene inactivation is critical in mechanism (7). In addition, it has been observed that LKB1 binds to tumors other than those of the PJS syndrome. However, the in vivo brahma-related gene 1 protein (BRG1) and this interaction is required substrates of LKB1 and its role in cancer development have not been for BRG1-induced growth arrest (10). Similar to what happens in the completely elucidated. Here we show that overexpression of wild-type PJS, Lkb1 heterozygous knockout mice show gastrointestinal hamar- LKB1 protein in A549 lung adenocarcinomas cells leads to cell-growth tomatous polyposis and frequent hepatocellular carcinomas (11, 12). suppression. To examine changes in gene expression profiles subsequent to Interestingly, the hamartomas, but not the malignant tumors, arising in exogenous wild-type LKB1 in A549 cells, we used cDNA microarrays. -
Treating Binge-Eating Disorder. a Review of Evidence for Adults
Treating Binge-Eating Disorder A Review of the Research for Adults e Is This Information Right for Me? This information is right for you if: Your health care professional* said you have binge-eating disorder (BED). You are age 18 or older. The information in this summary is from research on adults. What will this summary tell me? This summary will answer these questions: What is BED? How is BED treated? » Talk therapy (talking with a trained therapist) » Medicines What have researchers found about how well talk therapy and medicines work to treat BED? What are possible side effects of medicines to treat BED? What should I discuss with my health care professional? * Your health care professional may include your primary care physician, nurse practitioner, physician assistant, psychiatrist, psychologist, licensed social worker-counselor, nutritionist, or dietitian. Where does the information come from? Researchers funded by the Agency for Healthcare Research and Quality, a Federal Government research agency, reviewed studies on treatments for binge-eating disorder published through January 2015. The report included 57 studies and one systematic review and was reviewed by health care professionals, researchers, experts, and the public. You can read the report at www.effectivehealthcare.ahrq.gov/ binge-eating-disorder. 1 Understanding Your Condition What is binge-eating disorder? Binge-eating disorder (BED) is a Note: Unlike people condition in which a person often eats with some other eating a much larger amount of food at one disorders, people with time than is normal. The person feels BED generally do not out of control while binge eating. -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
Dsm-5 Diagnostic Criteria for Eating Disorders Anorexia Nervosa
DSM-5 DIAGNOSTIC CRITERIA FOR EATING DISORDERS ANOREXIA NERVOSA DIAGNOSTIC CRITERIA To be diagnosed with anorexia nervosa according to the DSM-5, the following criteria must be met: 1. Restriction of energy intaKe relative to requirements leading to a significantly low body weight in the context of age, sex, developmental trajectory, and physical health. 2. Intense fear of gaining weight or becoming fat, even though underweight. 3. Disturbance in the way in which one's body weight or shape is experienced, undue influence of body weight or shape on self-evaluation, or denial of the seriousness of the current low body weight. Even if all the DSM-5 criteria for anorexia are not met, a serious eating disorder can still be present. Atypical anorexia includes those individuals who meet the criteria for anorexia but who are not underweight despite significant weight loss. Research studies have not found a difference in the medical and psychological impacts of anorexia and atypical anorexia. BULIMIA NERVOSA DIAGNOSTIC CRITERIA According to the DSM-5, the official diagnostic criteria for bulimia nervosa are: • Recurrent episodes of binge eating. An episode of binge eating is characterized by both of the following: o Eating, in a discrete period of time (e.g. within any 2-hour period), an amount of food that is definitely larger than most people would eat during a similar period of time and under similar circumstances. o A sense of lacK of control over eating during the episode (e.g. a feeling that one cannot stop eating or control what or how much one is eating). -
Brain Region-Dependent Gene Networks Associated with Selective Breeding for Increased Voluntary Wheel-Running Behavior
UC Riverside UC Riverside Previously Published Works Title Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior. Permalink https://escholarship.org/uc/item/8c49g8fd Journal PloS one, 13(8) ISSN 1932-6203 Authors Zhang, Pan Rhodes, Justin S Garland, Theodore et al. Publication Date 2018 DOI 10.1371/journal.pone.0201773 Peer reviewed eScholarship.org Powered by the California Digital Library University of California RESEARCH ARTICLE Brain region-dependent gene networks associated with selective breeding for increased voluntary wheel-running behavior Pan Zhang1,2, Justin S. Rhodes3,4, Theodore Garland, Jr.5, Sam D. Perez3, Bruce R. Southey2, Sandra L. Rodriguez-Zas2,6,7* 1 Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, 2 Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United a1111111111 States of America, 3 Beckman Institute for Advanced Science and Technology, Urbana, IL, United States of a1111111111 America, 4 Center for Nutrition, Learning and Memory, University of Illinois at Urbana-Champaign, Urbana, a1111111111 IL, United States of America, 5 Department of Evolution, Ecology, and Organismal Biology, University of a1111111111 California, Riverside, CA, United States of America, 6 Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, 7 Carle Woese Institute for Genomic Biology, a1111111111 University of Illinois at Urbana-Champaign, Urbana, IL, United States of America * [email protected] OPEN ACCESS Abstract Citation: Zhang P, Rhodes JS, Garland T, Jr., Perez SD, Southey BR, Rodriguez-Zas SL (2018) Brain Mouse lines selectively bred for high voluntary wheel-running behavior are helpful models region-dependent gene networks associated with for uncovering gene networks associated with increased motivation for physical activity and selective breeding for increased voluntary wheel- other reward-dependent behaviors. -
Eating Disorders and GI Symptoms — Understand the Link Between Them and How to Treat Patients
October 2014 Issue Eating Disorders and GI Symptoms — Understand the Link Between Them and How to Treat Patients By Kate Scarlata, RDN, LDN, and Marci E. Anderson, CEDRD, LDN, cPT Today’s Dietitian Vol. 16 No. 10 P. 14 Eating disorders are uncommon, but they often are undertreated and accompanied by gastrointestinal (GI) distress. Lifetime prevalence of anorexia nervosa, bulimia nervosa, and binge eating disorder is less than 6% in women and less than 3% in men, according to a 2007 national survey.1 Yet researchers from the University of Australia found that 98% of 101 female patients admitted to an eating disorder unit fit the criteria for functional gut disorders, and 50% met the criteria specifically for irritable bowel syndrome (IBS).2 GI disorders found concomitantly in individuals with eating disorders include heartburn, bloating, constipation, dysphagia, and anorectal pain.2 Functional gut disorders constitute GI symptoms without evidence of anatomical GI disease and are well-acknowledged characteristics of patients with eating disorders. Moreover, pelvic floor dysfunction may be a contributing factor to the abdominal distention seen in patients with eating disorders.3 In clinical practice, dietitians working with eating disorder patients have observed coexistent GI problems. Studies have shown that satiation and bloating significantly are higher in people with eating disorders.4 The presence of IBS in eating disorder patients is strongly correlated to disordered eating and psychological issues, such as anxiety and obsessive-compulsive tendencies. The worse the quality of life relating to the eating disorder, the worse the IBS quality of life and IBS symptoms.5 Altered eating behavior is strongly associated with altered gut sensitivity and GI motility. -
734483V2.Full.Pdf
bioRxiv preprint doi: https://doi.org/10.1101/734483; this version posted August 14, 2019. 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. Temporal-Spatial Visualization of Endogenous Chromosome Rearrangements in Living Cells Haifeng Wang1, Muneaki Nakamura1, Dehua Zhao1, Cindy M Nguyen1, Cordelia Yu1,2, Albert Lo1, Timothy Daley1,3, Marie La Russa1, Yanxia Liu1, Lei S Qi1, 4, 5* 1Department of Bioengineering, Stanford University, Stanford, CA 94305, USA 2Castilleja School, Palo Alto, CA 94301, USA 3Department of Statistics, Stanford University, Stanford, CA 94305, USA 4Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA 5ChEM-H Institute, Stanford University, Stanford, CA 94305, USA *Correspondence to: [email protected] (L.S.Q.) 1 bioRxiv preprint doi: https://doi.org/10.1101/734483; this version posted August 14, 2019. 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. Abstract Visualizing the real-time dynamics of genome rearrangement in single living cells is core to studying genomics and diagnostics. Here, we report a robust, versatile approach named CRISPR Live-cell fluorescent in situ hybridization (LiveFISH) for multi-locus genome tracking and cytogenetic detection in a broad variety of cell types including primary cells. LiveFISH utilizes an intrinsic stability switch of CRISPR guide RNAs, which enables efficient and accurate detection of chromosomal disorders such as Patau Syndrome in prenatal amniotic fluid cells and allows multi-locus tracking in human T lymphocytes. -
Population-Haplotype Models for Mapping and Tagging Structural Variation Using Whole Genome Sequencing
Population-haplotype models for mapping and tagging structural variation using whole genome sequencing Eleni Loizidou Submitted in part fulfilment of the requirements for the degree of Doctor of Philosophy Section of Genomics of Common Disease Department of Medicine Imperial College London, 2018 1 Declaration of originality I hereby declare that the thesis submitted for a Doctor of Philosophy degree is based on my own work. Proper referencing is given to the organisations/cohorts I collaborated with during the project. 2 Copyright Declaration The copyright of this thesis rests with the author and is made available under a Creative Commons Attribution Non-Commercial No Derivatives licence. Researchers are free to copy, distribute or transmit the thesis on the condition that they attribute it, that they do not use it for commercial purposes and that they do not alter, transform or build upon it. For any reuse or redistribution, researchers must make clear to others the licence terms of this work 3 Abstract The scientific interest in copy number variation (CNV) is rapidly increasing, mainly due to the evidence of phenotypic effects and its contribution to disease susceptibility. Single nucleotide polymorphisms (SNPs) which are abundant in the human genome have been widely investigated in genome-wide association studies (GWAS). Despite the notable genomic effects both CNVs and SNPs have, the correlation between them has been relatively understudied. In the past decade, next generation sequencing (NGS) has been the leading high-throughput technology for investigating CNVs and offers mapping at a high-quality resolution. We created a map of NGS-defined CNVs tagged by SNPs using the 1000 Genomes Project phase 3 (1000G) sequencing data to examine patterns between the two types of variation in protein-coding genes.