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Zinchuk MS, Turchinets AM, Tumurov DA, Zhuravlev DV, Bryzgalova JE, Guekht AB. [Modern ideas about the relationship between fibromyalgia and mental disorders]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:7-16. [PMID: 37966434 DOI: 10.17116/jnevro20231231017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Fibromyalgia (FM) is a pain syndrome with a high burden and an understudied etiology and pathogenesis. There is now considerable evidence that FM has a strong bidirectional relationship with psychiatric disorders and is associated with certain personality traits that contribute to the severity of key somatic symptoms and affect overall prognosis. In this article, the authors present data from recent epidemiological and neurobiological studies, discuss the multilevel relationship between FM and psychiatric disorders, and briefly review approaches to the treatment of co-morbid conditions.
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Affiliation(s)
- M S Zinchuk
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - A M Turchinets
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - D A Tumurov
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - D V Zhuravlev
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - J E Bryzgalova
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
| | - A B Guekht
- Research and Clinical Center for Neuropsychiatry, Moscow, Russia
- Pirogov Russian National Research Medical University, Moscow, Russia
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Therapeutic Patient Education for Fibromyalgia during Spa Therapy: The FiETT Randomized Controlled Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19084613. [PMID: 35457480 PMCID: PMC9030628 DOI: 10.3390/ijerph19084613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/01/2022] [Accepted: 04/07/2022] [Indexed: 01/13/2023]
Abstract
Spa therapy is known to improve quality of life and diminish pain. We assessed the efficacy (Fibromyalgia Impact Questionnaire-FIQ) and safety at 6 months of a fibromyalgia-specific therapeutic patient education (TPE) program added to fibromyalgia-specific standardized spa therapy (SST), compared to SST alone, in a controlled randomized trial. We enrolled 157 patients, mostly women, attending spa centers in Southwest France in 2015–2016, and randomized them to SST + TPE (79) or SST (78). The intention-to-treat with “missing as failure” analysis showed a tendency toward a higher, though non-significant, benefit with TPE than without for FIQ (−9 vs. −3; p = 0.053) or pain intensity (−0.9 vs. −1.1; p = 0.58). In addition, pain relief (+3.2 vs. +4.3; p = 0.03) and fatigue (−1.6 vs. −3.7; p = 0.02) were significantly improved, and 87% patients in the SST + TPE arm still regularly practiced the physical exercises taught to them at 6 months. We suspect significant and lasting improvement from spa therapy, as well as our already well-informed and well-managed participants, to have prevented the demonstration of a significant benefit of TPE on FIQ.
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Yang JJ, Wang Z, Trucco EM, Buu A, Lin HC. Chronic pain and delinquency partially explain the effect of the DRD4 gene polymorphism on adult substance use. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2022; 48:235-244. [PMID: 34710332 DOI: 10.1080/00952990.2021.1977311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 08/31/2021] [Accepted: 09/02/2021] [Indexed: 06/13/2023]
Abstract
Background: The dopamine receptor D4 [DRD4] has been reported to be associated with substance use. Yet, the roles that health conditions and behaviors may play in such association are understudied.Objective: This longitudinal study investigated the potential mediation effects of chronic pain and delinquency in adolescence on the association between the DRD4 2-repeat allele and substance use in adulthood. Sex, witnessing violence, and experiencing violence were also examined as potential moderators for the mediation pathways.Methods: We used the restricted and candidate gene data from the National Longitudinal Study of Adolescent to Adult Health (Waves I-IV) to conduct secondary analysis (N = 8,671; 47% male). A two-step approach was adopted to examine the mediation effects regarding four substance use outcomes in adulthood: number of lifetime alcohol use disorder symptoms, lifetime regular smoker status, past-month smoking, and lifetime "pain killer" misuse. The moderation effects were investigated using stratification and permutation.Results: The DRD4 2-repeat allele was associated with all adulthood substance use outcomes through adolescent chronic pain and delinquency (AORs/IRR range 1.08-3.78; all ps<0.01). The association between delinquency and smoking was higher among females. The association between delinquency and substance use was lower among the participants who witnessed violence in adolescence.Conclusions: This study identified modifiable mediators underlying the association between the DRD4 2-repeat allele and substance use behaviors, concluding that chronic pain and delinquency partially explain the effect of the DRD4 gene polymorphism on adult substance use.
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Affiliation(s)
- James J Yang
- Department of Biostatistics and Data Science, School of Public Health, University of Texas, Houston, TX, USA
| | - Zhi Wang
- Department of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN, USA
| | - Elisa M Trucco
- Department of Psychology, Florida International University, Miami, FL, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Anne Buu
- Department of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas, Houston, TX, USA
| | - Hsien-Chang Lin
- Department of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN, USA
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Qi S, Schumann G, Bustillo J, Turner JA, Jiang R, Zhi D, Fu Z, Mayer AR, Vergara VM, Silva RF, Iraji A, Chen J, Damaraju E, Ma X, Yang X, Stevens M, Mathalon DH, Ford JM, Voyvodic J, Mueller BA, Belger A, Potkin SG, Preda A, Zhuo C, Xu Y, Chu C, Banaschewski T, Barker GJ, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Walter H, Whelan R, Calhoun VD, Sui J. Reward Processing in Novelty Seekers: A Transdiagnostic Psychiatric Imaging Biomarker. Biol Psychiatry 2021; 90:529-539. [PMID: 33875230 PMCID: PMC8322149 DOI: 10.1016/j.biopsych.2021.01.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 12/28/2020] [Accepted: 01/04/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Dysfunctional reward processing is implicated in multiple mental disorders. Novelty seeking (NS) assesses preference for seeking novel experiences, which is linked to sensitivity to reward environmental cues. METHODS A subset of 14-year-old adolescents (IMAGEN) with the top 20% ranked high-NS scores was used to identify high-NS-associated multimodal components by supervised fusion. These features were then used to longitudinally predict five different risk scales for the same and unseen subjects (an independent dataset of subjects at 19 years of age that was not used in predictive modeling training at 14 years of age) (within IMAGEN, n ≈1100) and even for the corresponding symptom scores of five types of patient cohorts (non-IMAGEN), including drinking (n = 313), smoking (n = 104), attention-deficit/hyperactivity disorder (n = 320), major depressive disorder (n = 81), and schizophrenia (n = 147), as well as to classify different patient groups with diagnostic labels. RESULTS Multimodal biomarkers, including the prefrontal cortex, striatum, amygdala, and hippocampus, associated with high NS in 14-year-old adolescents were identified. The prediction models built on these features are able to longitudinally predict five different risk scales, including alcohol drinking, smoking, hyperactivity, depression, and psychosis for the same and unseen 19-year-old adolescents and even predict the corresponding symptom scores of five types of patient cohorts. Furthermore, the identified reward-related multimodal features can classify among attention-deficit/hyperactivity disorder, major depressive disorder, and schizophrenia with an accuracy of 87.2%. CONCLUSIONS Adolescents with higher NS scores can be used to reveal brain alterations in the reward-related system, implicating potential higher risk for subsequent development of multiple disorders. The identified high-NS-associated multimodal reward-related signatures may serve as a transdiagnostic neuroimaging biomarker to predict disease risks or severity.
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Affiliation(s)
- Shile Qi
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute Technology, and Emory University, Atlanta, Georgia; Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine, Institute for Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Juan Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, New Mexico
| | - Jessica A Turner
- Department of Psychology, Georgia State University, Atlanta, Georgia
| | - Rongtao Jiang
- University of Chinese Academy of Sciences, Beijing, China; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Dongmei Zhi
- University of Chinese Academy of Sciences, Beijing, China; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Zening Fu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute Technology, and Emory University, Atlanta, Georgia
| | - Andrew R Mayer
- Department of Psychiatry, University of New Mexico, Albuquerque, New Mexico
| | - Victor M Vergara
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute Technology, and Emory University, Atlanta, Georgia
| | - Rogers F Silva
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute Technology, and Emory University, Atlanta, Georgia
| | - Armin Iraji
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute Technology, and Emory University, Atlanta, Georgia
| | - Jiayu Chen
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute Technology, and Emory University, Atlanta, Georgia
| | - Eswar Damaraju
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute Technology, and Emory University, Atlanta, Georgia
| | - Xiaohong Ma
- Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Xiao Yang
- Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | | | - Daniel H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, California
| | - Judith M Ford
- Department of Psychiatry, University of California San Francisco, San Francisco, California
| | - James Voyvodic
- Department of Radiology, Duke University, Durham, North Carolina
| | - Bryon A Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Steven G Potkin
- Department of Psychiatry, University of California Irvine, Irvine, California
| | - Adrian Preda
- Department of Psychiatry, University of California Irvine, Irvine, California
| | - Chuanjun Zhuo
- Department of Psychiatric-Neuroimaging-Genetics and Morbidity Laboratory, Nankai University Affiliated Anding Hospital, Tianjin, China
| | - Yong Xu
- Department of Humanities and Social Science, Shanxi Medical University, Taiyuan, China
| | - Congying Chu
- Centre for Population Neuroscience and Stratified Medicine, Institute for Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Stratified Medicine, Institute for Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Stratified Medicine, Institute for Science and Technology of Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Herta Flor
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, Vermont
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry," University Paris-Saclay, Paris, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry," University Paris-Saclay, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry," University Paris-Saclay, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Tomáš Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and Departments of Psychology and Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Berlin, Germany
| | - Robert Whelan
- PONS Research Group, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Humboldt University, Berlin, Germany
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute Technology, and Emory University, Atlanta, Georgia; Department of Psychology, Georgia State University, Atlanta, Georgia.
| | - Jing Sui
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute Technology, and Emory University, Atlanta, Georgia; University of Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
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Qureshi AG, Jha SK, Iskander J, Avanthika C, Jhaveri S, Patel VH, Rasagna Potini B, Talha Azam A. Diagnostic Challenges and Management of Fibromyalgia. Cureus 2021; 13:e18692. [PMID: 34786265 PMCID: PMC8580749 DOI: 10.7759/cureus.18692] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2021] [Indexed: 12/13/2022] Open
Abstract
The World Health Organization regards chronic pain to be a public health concern. In clinical medicine, fibromyalgia (FM) is the most prevalent chronic widespread pain disease. In terms of impairment, consumption of health and social resources, and impact on primary and speciality care systems, it has reached worrisome proportions. This disease is frequently managed by primary care providers. Because of its intricacy, fibromyalgia diagnosis and treatment can be difficult. Fibromyalgia is a controversial condition. It might appear ill-defined in comparison to other pain conditions, with no clear knowledge of pathophysiology and hence no particular targeted therapy. This invariably sparks debates and challenges. There is no obvious cut-off point that distinguishes FM from non-FM. The diagnosis of fibromyalgia has been complicated by several factors, including patients' health-seeking behaviour, symptom identification, and physician labelling of the disease. Fibromyalgia is currently considered a centralized pain condition, according to research that has improved our understanding of its etiopathology. A multidisciplinary strategy combining pharmacological and non-pharmacological therapies based on a biopsychosocial paradigm can result in effective therapy. Cultural and psychosocial variables appear to be a recent development in fibromyalgia, and they appear to have a larger influence on physician diagnosis than severe symptom levels in FM patients. Although physicians rely on FM criteria as the only way to classify FM patients in research and clinical settings, some crucial elements of the diagnostic challenge of fibromyalgia remain unsolved - invalidation, psychosocial variables, and diverse illness manifestation are some examples. Beyond the existing constructional scores, physicians' judgment gained in real communicative contexts with patients, appears to be the only dependable route for a more accurate diagnosis for fibromyalgia. We have performed an exhaustive review of the literature using the keywords "Fibromyalgia", "challenges" and "diagnosis" in PubMed and Google Scholar indexes up to September 2021. This article aims to examine the causes, diagnosis, and current treatment protocols of FM, as well as discuss some continuing debates and diagnostic challenges which physicians face in accurately diagnosing fibromyalgia.
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Affiliation(s)
- Aniqa G Qureshi
- Medicine and Surgery, Jinggangshan Medical University, Jian, CHN
| | - Saurav K Jha
- Internal Medicine, Kankai Hospital, Birtamode, NPL
| | - John Iskander
- Family Medicine, American University of Antigua, St. John's, ATG
| | - Chaithanya Avanthika
- Medicine and Surgery, Karnataka Institute of Medical Sciences, Hubli, IND
- Pediatrics, Karnataka Institute of Medical Sciences, Hubli, IND
| | - Sharan Jhaveri
- Medicine, Smt Nathiba Hargovandas Lakhmichand Municipal Medical College (NHLMMC), Ahmedabad, IND
| | - Vithi Hitendra Patel
- Family Medicine, GMERS Medical College and Hospital, Valsad, IND
- Internal Medicine, Gujarat Cancer Society Medical College and Research Center, Ahmedabad, IND
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Fibromyalgia: Pathogenesis, Mechanisms, Diagnosis and Treatment Options Update. Int J Mol Sci 2021; 22:ijms22083891. [PMID: 33918736 PMCID: PMC8068842 DOI: 10.3390/ijms22083891] [Citation(s) in RCA: 213] [Impact Index Per Article: 71.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 12/13/2022] Open
Abstract
Fibromyalgia is a syndrome characterized by chronic and widespread musculoskeletal pain, often accompanied by other symptoms, such as fatigue, intestinal disorders and alterations in sleep and mood. It is estimated that two to eight percent of the world population is affected by fibromyalgia. From a medical point of view, this pathology still presents inexplicable aspects. It is known that fibromyalgia is caused by a central sensitization phenomenon characterized by the dysfunction of neuro-circuits, which involves the perception, transmission and processing of afferent nociceptive stimuli, with the prevalent manifestation of pain at the level of the locomotor system. In recent years, the pathogenesis of fibromyalgia has also been linked to other factors, such as inflammatory, immune, endocrine, genetic and psychosocial factors. A rheumatologist typically makes a diagnosis of fibromyalgia when the patient describes a history of pain spreading in all quadrants of the body for at least three months and when pain is caused by digital pressure in at least 11 out of 18 allogenic points, called tender points. Fibromyalgia does not involve organic damage, and several diagnostic approaches have been developed in recent years, including the analysis of genetic, epigenetic and serological biomarkers. Symptoms often begin after physical or emotional trauma, but in many cases, there appears to be no obvious trigger. Women are more prone to developing the disease than men. Unfortunately, the conventional medical therapies that target this pathology produce limited benefits. They remain largely pharmacological in nature and tend to treat the symptomatic aspects of various disorders reported by the patient. The statistics, however, highlight the fact that 90% of people with fibromyalgia also turn to complementary medicine to manage their symptoms.
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Hackshaw KV. The Search for Biomarkers in Fibromyalgia. Diagnostics (Basel) 2021; 11:diagnostics11020156. [PMID: 33494476 PMCID: PMC7911687 DOI: 10.3390/diagnostics11020156] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 01/18/2021] [Indexed: 12/12/2022] Open
Abstract
Fibromyalgia is the most common of the central sensitivity syndromes affecting 2–5% of the adult population in the United States. This pain amplification syndrome has enormous societal impact as measured by work absenteeism, decreased work productivity, disability and injury compensation and over-utilization of healthcare resources. Multiple studies have shown that early diagnosis of this condition can improve patient outlook and redirect valuable healthcare resources towards more appropriate targeted therapy. Efforts have been made towards improving diagnostic accuracy through updated criteria. The search for biomarkers for diagnosis and verification of Fibromyalgia is an ongoing process. Inadequacies with current diagnostic criteria for this condition have fueled these efforts for identification of a reproducible marker that can verify this disease in a highly sensitive, specific and reproducible manner. This review focuses on areas of research for biomarkers in fibromyalgia and suggests that future efforts might benefit from approaches that utilize arrays of biomarkers to identify this disorder that presents with a diverse clinical phenotype.
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Affiliation(s)
- Kevin V Hackshaw
- Department of Internal Medicine, Division of Rheumatology, Dell Medical School at the University of Texas at Austin, 1601 Trinity St, Austin, TX 78712, USA
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8
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Kringel D, Malkusch S, Kalso E, Lötsch J. Computational Functional Genomics-Based AmpliSeq™ Panel for Next-Generation Sequencing of Key Genes of Pain. Int J Mol Sci 2021; 22:ijms22020878. [PMID: 33467215 PMCID: PMC7830224 DOI: 10.3390/ijms22020878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 12/27/2020] [Accepted: 01/12/2021] [Indexed: 11/16/2022] Open
Abstract
The genetic background of pain is becoming increasingly well understood, which opens up possibilities for predicting the individual risk of persistent pain and the use of tailored therapies adapted to the variant pattern of the patient's pain-relevant genes. The individual variant pattern of pain-relevant genes is accessible via next-generation sequencing, although the analysis of all "pain genes" would be expensive. Here, we report on the development of a cost-effective next generation sequencing-based pain-genotyping assay comprising the development of a customized AmpliSeq™ panel and bioinformatics approaches that condensate the genetic information of pain by identifying the most representative genes. The panel includes 29 key genes that have been shown to cover 70% of the biological functions exerted by a list of 540 so-called "pain genes" derived from transgenic mice experiments. These were supplemented by 43 additional genes that had been independently proposed as relevant for persistent pain. The functional genomics covered by the resulting 72 genes is particularly represented by mitogen-activated protein kinase of extracellular signal-regulated kinase and cytokine production and secretion. The present genotyping assay was established in 61 subjects of Caucasian ethnicity and investigates the functional role of the selected genes in the context of the known genetic architecture of pain without seeking functional associations for pain. The assay identified a total of 691 genetic variants, of which many have reports for a clinical relevance for pain or in another context. The assay is applicable for small to large-scale experimental setups at contemporary genotyping costs.
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Affiliation(s)
- Dario Kringel
- Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; (D.K.); (S.M.)
| | - Sebastian Malkusch
- Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; (D.K.); (S.M.)
| | - Eija Kalso
- Department of Anaesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, P.O. Box 440, 00029 HUS Helsinki, Finland;
| | - Jörn Lötsch
- Institute of Clinical Pharmacology, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany; (D.K.); (S.M.)
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Theodor-Stern-Kai 7, 60596 Frankfurt am Main, Germany
- Correspondence: ; Tel.: +49-69-6301-4589; Fax: +49-69-6301-4354
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Nugraha B, Anwar SL, Gutenbrunner C, Korallus C. Polymorphisms of brain-derived neurotrophic factor genes are associated with anxiety and body mass index in fibromyalgia syndrome patients. BMC Res Notes 2020; 13:402. [PMID: 32859253 PMCID: PMC7456381 DOI: 10.1186/s13104-020-05226-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Accepted: 08/05/2020] [Indexed: 01/05/2023] Open
Abstract
Objective Fibromyalgia syndrome has been associated with
familial clusters although the specific genetic predisposition is not clear. Accordingly, studies concerning genetic factors associated with this disease are important. Brain-derived neurotrophic factor (BDNF) has been shown to play a role in patients with fibromyalgia syndrome, particularly in mediating manifestations of pain and mood-related symptoms. Research on genetic factors, including genetic variations or single nucleotide polymorphisms, especially related to BDNF in fibromyalgia is very limited. Therefore, this study was aiming at determining the association of polymorphisms of BDNF, particularly rs2049046 (A>T) and rs7124442 (A>G), with body mass index (BMI) and mood-related symptoms in FMS. Results In fibromyalgia syndrome cases, BDNF polymorphisms were associated with body mass index and anxiety score, specifically rs7124442 (A>G) (Fisher’s exact test χ2; p < 0.05; odds ratio (OR): 1.02) and rs2049046 (A>T) (Fisher’s exact test χ2; p < 0.05; OR: 0.55), respectively. Additionally, patients with fibromyalgia syndrome who have AA (95% CI (8.71, 11.63)) and AT (95% CI (9.32, 11.74)) alleles of rs2049046 showed higher score of anxiety compared to patients with TT (95% CI (3.98, 8.20) allele (ANOVA test; p < 0.01). These results suggest that BDNF polymorphisms (rs7124442 and rs2049046) are associated with body mass index and anxiety symptoms in patients with fibromyalgia syndrome.
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Affiliation(s)
- Boya Nugraha
- Department of Rehabilitation Medicine, Hannover Medical School, Hannover, Germany.
| | | | | | - Christoph Korallus
- Department of Rehabilitation Medicine, Hannover Medical School, Hannover, Germany
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Candidate genes for novelty-seeking: a meta-analysis of association studies of DRD4 exon III and COMT Val158Met. Psychiatr Genet 2019; 28:97-109. [PMID: 30260901 DOI: 10.1097/ypg.0000000000000209] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Two widely studied genetic polymorphisms in the dopaminergic system [DRD4 exon III variable number of tandem repeat (VNTR) and COMT Val158Met] have been reported to be associated with novelty-seeking, but the results have been highly inconsistent. Therefore, a meta-analysis of the associations between these two polymorphisms and novelty-seeking was conducted. PARTICIPANTS AND METHODS For DRD4, 24 studies comprising 27 samples and including 4933 participants were selected. Genotype grouping, sex, mean age, ethnicity, and sample characteristics were examined as moderators. For COMT, nine studies comprising 13 samples and including 2633 participants were selected. Sex, mean age, ethnicity, and sample characteristics were included as moderators. We also tested for possible publication bias. RESULTS The significant association between the DRD4 polymorphism and novelty-seeking was supported, but no association was found between the COMT polymorphism and novelty-seeking. In addition, our findings revealed that sex and age both directly moderate the relationship between DRD4 and novelty-seeking. Meanwhile, ethnicity can interact with age, sex, and genotype grouping, and age and sex can interact with each other, to moderate the association between the DRD4 exon III VNTR polymorphism and novelty-seeking. CONCLUSION Our results provide evidence of association between the DRD4 exon III VNTR polymorphism and novelty-seeking, which is inconsistent with the results of previous meta-analysis. Furthermore, several direct and indirect moderators are also identified to explain contradictory results in the existing literature. However, our results regarding COMT are consistent with those of previous meta-analysis.
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11
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Kringel D, Kaunisto MA, Lippmann C, Kalso E, Lötsch J. Development of an AmpliSeq TM Panel for Next-Generation Sequencing of a Set of Genetic Predictors of Persisting Pain. Front Pharmacol 2018; 9:1008. [PMID: 30283335 PMCID: PMC6156278 DOI: 10.3389/fphar.2018.01008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 08/17/2018] [Indexed: 12/21/2022] Open
Abstract
Background: Many gene variants modulate the individual perception of pain and possibly also its persistence. The limited selection of single functional variants is increasingly being replaced by analyses of the full coding and regulatory sequences of pain-relevant genes accessible by means of next generation sequencing (NGS). Methods: An NGS panel was created for a set of 77 human genes selected following different lines of evidence supporting their role in persisting pain. To address the role of these candidate genes, we established a sequencing assay based on a custom AmpliSeqTM panel to assess the exomic sequences in 72 subjects of Caucasian ethnicity. To identify the systems biology of the genes, the biological functions associated with these genes were assessed by means of a computational over-representation analysis. Results: Sequencing generated a median of 2.85 ⋅ 106 reads per run with a mean depth close to 200 reads, mean read length of 205 called bases and an average chip loading of 71%. A total of 3,185 genetic variants were called. A computational functional genomics analysis indicated that the proposed NGS gene panel covers biological processes identified previously as characterizing the functional genomics of persisting pain. Conclusion: Results of the NGS assay suggested that the produced nucleotide sequences are comparable to those earned with the classical Sanger sequencing technique. The assay is applicable for small to large-scale experimental setups to target the accessing of information about any nucleotide within the addressed genes in a study cohort.
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Affiliation(s)
- Dario Kringel
- Institute of Clinical Pharmacology, Goethe-University, Frankfurt, Germany
| | - Mari A Kaunisto
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Catharina Lippmann
- Fraunhofer Institute for Molecular Biology and Applied Ecology - Project Group Translational Medicine and Pharmacology, Frankfurt, Germany
| | - Eija Kalso
- Division of Pain Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jörn Lötsch
- Institute of Clinical Pharmacology, Goethe-University, Frankfurt, Germany.,Fraunhofer Institute for Molecular Biology and Applied Ecology - Project Group Translational Medicine and Pharmacology, Frankfurt, Germany
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12
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Bou Khalil R, Khoury E, Richa S. The Comorbidity of Fibromyalgia Syndrome and Attention Deficit and Hyperactivity Disorder from a Pathogenic Perspective. PAIN MEDICINE 2018; 19:1705-1709. [PMID: 30053155 DOI: 10.1093/pm/pny142] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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13
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Kringel D, Lippmann C, Parnham MJ, Kalso E, Ultsch A, Lötsch J. A machine-learned analysis of human gene polymorphisms modulating persisting pain points to major roles of neuroimmune processes. Eur J Pain 2018; 22:1735-1756. [PMID: 29923268 PMCID: PMC6220816 DOI: 10.1002/ejp.1270] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/13/2018] [Indexed: 12/21/2022]
Abstract
Background Human genetic research has implicated functional variants of more than one hundred genes in the modulation of persisting pain. Artificial intelligence and machine‐learning techniques may combine this knowledge with results of genetic research gathered in any context, which permits the identification of the key biological processes involved in chronic sensitization to pain. Methods Based on published evidence, a set of 110 genes carrying variants reported to be associated with modulation of the clinical phenotype of persisting pain in eight different clinical settings was submitted to unsupervised machine‐learning aimed at functional clustering. Subsequently, a mathematically supported subset of genes, comprising those most consistently involved in persisting pain, was analysed by means of computational functional genomics in the Gene Ontology knowledgebase. Results Clustering of genes with evidence for a modulation of persisting pain elucidated a functionally heterogeneous set. The situation cleared when the focus was narrowed to a genetic modulation consistently observed throughout several clinical settings. On this basis, two groups of biological processes, the immune system and nitric oxide signalling, emerged as major players in sensitization to persisting pain, which is biologically highly plausible and in agreement with other lines of pain research. Conclusions The present computational functional genomics‐based approach provided a computational systems‐biology perspective on chronic sensitization to pain. Human genetic control of persisting pain points to the immune system as a source of potential future targets for drugs directed against persisting pain. Contemporary machine‐learned methods provide innovative approaches to knowledge discovery from previous evidence. Significance We show that knowledge discovery in genetic databases and contemporary machine‐learned techniques can identify relevant biological processes involved in Persitent pain.
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Affiliation(s)
- D Kringel
- Institute of Clinical Pharmacology, Goethe - University, Frankfurt am Main, Germany
| | - C Lippmann
- Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Branch for Translational Medicine and Pharmacology TMP, Frankfurt
| | - M J Parnham
- Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Branch for Translational Medicine and Pharmacology TMP, Frankfurt
| | - E Kalso
- Institute of Clinical Medicine, University of Helsinki, Pain Clinic, Helsinki University Central Hospital, Helsinki, Finland.,Institute of Biomedicine, Pharmacology, University of Helsinki, Helsinki, Finland
| | - A Ultsch
- DataBionics Research Group, University of Marburg, Germany
| | - J Lötsch
- Institute of Clinical Pharmacology, Goethe - University, Frankfurt am Main, Germany.,Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Branch for Translational Medicine and Pharmacology TMP, Frankfurt
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14
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Zhang Z, Feng J, Mao A, Le K, La Placa D, Wu X, Longmate J, Marek C, St. Amand RP, Neuhausen SL, Shively JE. SNPs in inflammatory genes CCL11, CCL4 and MEFV in a fibromyalgia family study. PLoS One 2018; 13:e0198625. [PMID: 29927949 PMCID: PMC6013222 DOI: 10.1371/journal.pone.0198625] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Accepted: 05/22/2018] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Fibromyalgia (FM) is a chronic pain syndrome with a high incidence in females that may involve activation of the immune system. We performed exome sequencing on chemokine genes in a region of chromosome 17 identified in a genome-wide family association study. METHODS AND FINDINGS Exome sequence analysis of 100 FM probands was performed at 17p13.3-q25 followed by functional analysis of SNPs found in the chemokine gene locus. Missense SNPs (413) in 17p13.3-q25 were observed in at least 10 probands. SNPs rs1129844 in CCL11 and rs1719152 in CCL4 were associated with elevated plasma chemokine levels in FM. In a transmission disequilibrium test (TDT), rs1129844 was unequally transmitted from parents to their affected children (p< 0.0074), while the CCL4 SNP was not. The amino acid change (Ala23Thr), resulting from rs1129844 in CCL11, predicted to alter processing of the signal peptide, led to reduced expression of CCL11. The variant protein from CCL4 rs1719152 exhibited protein aggregation and a potent down-regulation of its cognate receptor CCR5, a receptor associated with hypotensive effects. Treatment of skeletal muscle cells with CCL11 produced high levels of CCL4 suggesting CCL11 regulates CCL4 in muscle. The immune association of FM with SNPs in MEFV, a chromosome 16 gene associated with recurrent fevers, had a p< 0.008 TDT for a combined 220 trios. CONCLUSIONS SNPs with significant TDTs were found in 36% of the cohort for CCL11 and 12% for MEFV, along with a protein variant in CCL4 (41%) that affects CCR5 down-regulation, supporting an immune involvement for FM.
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Affiliation(s)
- Zhifang Zhang
- Department of Molecular Imaging and Therapy, Beckman Research Institute, City of Hope, Duarte, CA, United States of America
| | - Jinong Feng
- Department of Molecular Imaging and Therapy, Beckman Research Institute, City of Hope, Duarte, CA, United States of America
| | - Allen Mao
- Department of Molecular Imaging and Therapy, Beckman Research Institute, City of Hope, Duarte, CA, United States of America
| | - Keith Le
- Department of Molecular Imaging and Therapy, Beckman Research Institute, City of Hope, Duarte, CA, United States of America
| | - Deirdre La Placa
- Department of Molecular Imaging and Therapy, Beckman Research Institute, City of Hope, Duarte, CA, United States of America
| | - Xiwei Wu
- Department of Molecular Medicine, Beckman Research Institute, City of Hope, Duarte, CA, United States of America
| | - Jeffrey Longmate
- Department of Biostatistics, Beckman Research Institute, City of Hope, Duarte, CA, United States of America
| | - Claudia Marek
- R.P. St. Amand MD Inc, Marina Del Rey, CA, United States of America
| | | | - Susan L. Neuhausen
- Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, United States of America
| | - John E. Shively
- Department of Molecular Imaging and Therapy, Beckman Research Institute, City of Hope, Duarte, CA, United States of America
- * E-mail:
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15
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Abstract
Although debate on the concept of fibromyalgia (FM) has been vigorous ever since the classification criteria were first published, FM is now better understood and has become recognized as a disorder. Recently, FM has come to be considered a major health problem, affecting 1% to 5% of the general population. As familial aggregations have been observed among some FM patients, genetic research on FM is logical. In fact, genome-wide association studies and linkage analysis, and studies on candidate genes, have uncovered associations between certain genetic factors and FM. Genetic susceptibility is now considered to influence the etiology of FM. At the same time, novel genetic techniques, such as microRNA analysis, have been used in attempts to improve our understanding of the genetic predisposition to FM. In this article, we review recent advances in, and continuing challenges to, the identification of genes contributing to the development of, and symptom severity in, FM.
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Affiliation(s)
- Dong-Jin Park
- Department of Rheumatology, Chonnam National University Hospital, Gwangju, Korea
| | - Shin-Seok Lee
- Department of Rheumatology, Chonnam National University Hospital, Gwangju, Korea
- Correspondence to Shin-Seok Lee, M.D. Department of Rheumatology, Chonnam National University Hospital, 42 Jebong-ro, Dong-gu, Gwangju 61469, Korea Tel: +82-62-220-6591 Fax: +82-62-225-8578 E-mail:
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16
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Ablin JN, Zohar AH, Zaraya-Blum R, Buskila D. Distinctive personality profiles of fibromyalgia and chronic fatigue syndrome patients. PeerJ 2016; 4:e2421. [PMID: 27672497 PMCID: PMC5028783 DOI: 10.7717/peerj.2421] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Accepted: 08/08/2016] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE The current study is an innovative exploratory investigation, aiming at identifying differences in personality profiles within Fibromyalgia Syndrome (FMS) and Chronic Fatigue Syndrome (CFS) patients. METHOD In total, 344 participants (309 female, 35 male) reported suffering from FMS and/or CFS and consented to participate in the study. Participants were recruited at an Israeli FM/CFS patient meeting held in May 2013, and through an announcement posted on several social networks. Participants were asked to complete a research questionnaire, which included FMS criteria and severity scales, and measures of personality, emotional functioning, positivity, social support and subjective assessment of general health. In total, 204 participants completed the research questionnaire (40.7% attrition rate). RESULTS A cluster analysis produced two distinct clusters, which differed significantly on psychological variables, but did not differ on demographic variables or illness severity. As compared to cluster number 2 (N = 107), participants classified into cluster number 1 (N = 97) showed a less adaptive pattern, with higher levels of Harm Avoidance and Alexithymia; higher prevalence of Type D personality; and lower levels of Persistence (PS), Reward dependence (RD), Cooperation, Self-directedness (SD), social support and positivity. CONCLUSION The significant pattern of results indicates at least two distinct personality profiles of FM and CFS patients. Findings from this research may help improve the evaluation and treatment of FM and CFS patients, based on each patient's unique needs, psychological resources and weaknesses, as proposed by the current trend of personalized medicine.
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Affiliation(s)
- Jacob N. Ablin
- Institute of Rheumatology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ada H. Zohar
- Department of Clinical Psychology, Ruppin Academic Center, Israel
| | - Reut Zaraya-Blum
- Department of Clinical Psychology, Ruppin Academic Center, Israel
| | - Dan Buskila
- Department of Medicine H, Soroka Medical Center, Beer Sheva, Israel
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
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17
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Abstract
Fibromyalgia is a disorder that is part of a spectrum of syndromes that lack precise classification. It is often considered as part of the global overview of functional somatic syndromes that are otherwise medically unexplained or part of a somatization disorder. Patients with fibromyalgia share symptoms with other functional somatic problems, including issues of myalgias, arthralgias, fatigue and sleep disturbances. Indeed, there is often diagnostic and classification overlap for the case definitions of a variety of somatization disorders. Fibromyalgia, however, is a critically important syndrome for physicians and scientists to be aware of. Patients should be taken very seriously and provided optimal care. Although inflammatory, infectious, and autoimmune disorders have all been ascribed to be etiological events in the development of fibromyalgia, there is very little data to support such a thesis. Many of these disorders are associated with depression and anxiety and may even be part of what has been sometimes called affected spectrum disorders. There is no evidence that physical trauma, i.e., automobile accidents, is associated with the development or exacerbation of fibromyalgia. Treatment should be placed on education, patient support, physical therapy, nutrition, and exercise, including the use of drugs that are approved for the treatment of fibromyalgia. Treatment should not include opiates and patients should not become poly pharmacies in which the treatment itself can lead to significant morbidities. Patients with fibromyalgia are living and not dying of this disorder and positive outlooks and family support are key elements in the management of patients.
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Affiliation(s)
- Andrea T Borchers
- Division of Rheumatology, Allergy and Clinical Immunology, University of California at Davis School of Medicine, 451 Health Sciences Drive, Suite 6510, Davis, CA, 95616, USA
| | - M Eric Gershwin
- Division of Rheumatology, Allergy and Clinical Immunology, University of California at Davis School of Medicine, 451 Health Sciences Drive, Suite 6510, Davis, CA, 95616, USA.
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Resnick B, Klinedinst NJ, Yerges-Armstrong L, Magaziner J, Orwig D, Hochberg MC, Gruber-Baldini AL, Hicks GE, Dorsey SG. Pain, Genes, and Function in the Post-Hip Fracture Period. Pain Manag Nurs 2016; 17:181-96. [PMID: 27283266 PMCID: PMC4902874 DOI: 10.1016/j.pmn.2016.03.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 03/18/2016] [Accepted: 03/23/2016] [Indexed: 10/21/2022]
Abstract
Post-hip fracture generalized pain can lead to a progressive decline in function and greater disability. The purpose of this study was to explore the factors that influence pain among older adults post-hip fracture, including genetic variability, and evaluate whether pain directly or indirectly influenced upper and lower extremity function. This was a secondary data analysis using data from the first 200 participants in a Baltimore Hip Study (BHS), BHS-7. Assessments were done at 2 months post-hip fracture and included age, sex, marital status, education, cognitive status, comorbidities, body mass index (BMI), upper and lower extremity function, single nucleotide polymorphisms (SNPs) from 10 candidate genes, and total areas of pain and pain intensity. Model testing was done using the AMOS statistical program. The full sample included 172 participants with an average age of 81. Fifty percent were female and the majority was Caucasian (93%). Model testing was done on 144 individuals who completed 2 month surveys. Across all models, age, cognition, and BMI were significantly associated with total areas of pain. Thirty SNPs from five genes (BDNF, FKBP5, NTRK2, NTRK3, and OXTR) were associated with areas of pain and/or pain intensity. Together, age, cognition, BMI, and the SNP from one of the five genes explained 25% of total areas of pain and 15% of pain intensity. Only age and cognition were significantly associated with lower extremity function, and only cognition was significantly associated with upper extremity function. The full model was partially supported in this study. Our genetic findings related to pain expand prior reports related to BDNF and NTRK2.
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Affiliation(s)
- Barbara Resnick
- University of Maryland School of Nursing, Baltimore, Maryland.
| | | | | | - Jay Magaziner
- University of Maryland School of Medicine, Baltimore, Maryland
| | - Denise Orwig
- University of Maryland School of Medicine, Baltimore, Maryland
| | - Marc C Hochberg
- University of Maryland School of Medicine, Baltimore, Maryland
| | | | | | - Susan G Dorsey
- University of Maryland School of Nursing, Baltimore, Maryland
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19
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Udina M, Navinés R, Egmond E, Oriolo G, Langohr K, Gimenez D, Valdés M, Gómez-Gil E, Grande I, Gratacós M, Kapczinski F, Artigas F, Vieta E, Solà R, Martín-Santos R. Glucocorticoid Receptors, Brain-Derived Neurotrophic Factor, Serotonin and Dopamine Neurotransmission are Associated with Interferon-Induced Depression. Int J Neuropsychopharmacol 2016; 19:pyv135. [PMID: 26721949 PMCID: PMC4851270 DOI: 10.1093/ijnp/pyv135] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 11/24/2015] [Accepted: 12/11/2015] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The role of inflammation in mood disorders has received increased attention. There is substantial evidence that cytokine therapies, such as interferon alpha (IFN-alpha), can induce depressive symptoms. Indeed, proinflammatory cytokines change brain function in several ways, such as altering neurotransmitters, the glucocorticoid axis, and apoptotic mechanisms. This study aimed to evaluate the impact on mood of initiating IFN-alpha and ribavirin treatment in a cohort of patients with chronic hepatitis C. We investigated clinical, personality, and functional genetic variants associated with cytokine-induced depression. METHODS We recruited 344 Caucasian outpatients with chronic hepatitis C, initiating IFN-alpha and ribavirin therapy. All patients were euthymic at baseline according to DSM-IV-R criteria. Patients were assessed at baseline and 4, 12, 24, and 48 weeks after treatment initiation using the Patient Health Questionnaire (PHQ), the Hospital Anxiety and Depression Scale (HADS), and the Temperament and Character Inventory (TCI). We genotyped several functional polymorphisms of interleukin-28 (IL28B), indoleamine 2,3-dioxygenase (IDO-1), serotonin receptor-1A (HTR1A), catechol-O-methyl transferase (COMT), glucocorticoid receptors (GCR1 and GCR2), brain-derived neurotrophic factor (BDNF), and FK506 binding protein 5 (FKBP5) genes. A survival analysis was performed, and the Cox proportional hazards model was used for the multivariate analysis. RESULTS The cumulative incidence of depression was 0.35 at week 24 and 0.46 at week 48. The genotypic distributions were in Hardy-Weinberg equilibrium. Older age (p = 0.018, hazard ratio [HR] per 5 years = 1.21), presence of depression history (p = 0.0001, HR = 2.38), and subthreshold depressive symptoms at baseline (p = 0.005, HR = 1.13) increased the risk of IFN-induced depression. So too did TCI personality traits, with high scores on fatigability (p = 0.0037, HR = 1.17), impulsiveness (p = 0.0200 HR = 1.14), disorderliness (p = 0.0339, HR = 1.11), and low scores on extravagance (p = 0.0040, HR = 0.85). An interaction between HTR1A and COMT genes was found. Patients carrying the G allele of HTR1A plus the Met substitution of the COMT polymorphism had a greater risk for depression during antiviral treatment (HR = 3.83) than patients with the CC (HTR1A) and Met allele (COMT) genotypes. Patients carrying the HTR1A CC genotype and the COMT Val/Val genotype (HR = 3.25) had a higher risk of depression than patients with the G allele (HTR1A) and the Val/Val genotype. Moreover, functional variants of the GCR1 (GG genotype: p = 0.0436, HR = 1.88) and BDNF genes (Val/Val genotype: p = 0.0453, HR = 0.55) were associated with depression. CONCLUSIONS The results of the study support the theory that IFN-induced depression is associated with a complex pathophysiological background, including serotonergic and dopaminergic neurotransmission as well as glucocorticoid and neurotrophic factors. These findings may help to improve the management of patients on antiviral treatment and broaden our understanding of the pathogenesis of mood disorders.
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MESH Headings
- Adult
- Antiviral Agents/therapeutic use
- Brain-Derived Neurotrophic Factor/genetics
- Catechol O-Methyltransferase/genetics
- Depression/chemically induced
- Depression/epidemiology
- Depression/genetics
- Depression/immunology
- Female
- Genetic Predisposition to Disease
- Hepatitis C, Chronic/drug therapy
- Hepatitis C, Chronic/epidemiology
- Hepatitis C, Chronic/genetics
- Hepatitis C, Chronic/psychology
- Humans
- Incidence
- Indoleamine-Pyrrole 2,3,-Dioxygenase/genetics
- Interferon-alpha/adverse effects
- Interferon-alpha/therapeutic use
- Interferons
- Interleukins/genetics
- Male
- Middle Aged
- Polymorphism, Single Nucleotide
- Prospective Studies
- Receptor, Serotonin, 5-HT1A/genetics
- Receptors, Glucocorticoid/genetics
- Ribavirin/therapeutic use
- Tacrolimus Binding Proteins/genetics
- Treatment Outcome
- White People/genetics
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Affiliation(s)
- M Udina
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - R Navinés
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - E Egmond
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - G Oriolo
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - K Langohr
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - D Gimenez
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - M Valdés
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - E Gómez-Gil
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - I Grande
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - M Gratacós
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - F Kapczinski
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - F Artigas
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - E Vieta
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - R Solà
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
| | - R Martín-Santos
- Department of Psychiatry, Hospital Clínic, Institut d'Investigacions Biomèdiques de Barcelona (IDIBAPS), Spain (Drs Udina, Navinés, Egmond, Oriolo, Valdés, Gómez-Gil, Grande, Vieta, and Martín-Santos); Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain (Drs Navinés, Grande, Artigas, Vieta, and Martín-Santos); Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Spain (Drs Oriolo, Valdés, Vieta, and Martín-Santos); Liver Section, Parc de Salut Mar, UAB, Barcelona, Spain (Drs Navinés, Gimenez, and Solà); Department of Clinical and Health Psychology, Universitat Autónoma de Barcelona (UAB), Barcelona, Spain (Egmond); Departament d'Estadística, Investigació Operativa, Universitat Politècnica de Catalunya and Research programme in Neurosciences, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain (Dr Langohr); Center of Genomic Regulation, Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain (Dr Gratacós); National Institute for Translational Medicine, Hospital de Clinicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Dr Kapczinski); Department of Neurochemistry and Neuropharmacology, Institute d'Investigacions Biomèdiques de Barcelona (IBB-CSIC-IDIBAPS), Spain (Dr Artigas)
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Park DJ, Kang JH, Yim YR, Kim JE, Lee JW, Lee KE, Wen L, Kim TJ, Park YW, Lee SS. Exploring Genetic Susceptibility to Fibromyalgia. Chonnam Med J 2015; 51:58-65. [PMID: 26306300 PMCID: PMC4543151 DOI: 10.4068/cmj.2015.51.2.58] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Revised: 07/24/2015] [Accepted: 07/27/2015] [Indexed: 01/13/2023] Open
Abstract
Fibromyalgia (FM) affects 1% to 5% of the population, and approximately 90% of the affected individuals are women. FM patients experience impaired quality of life and the disorder places a considerable economic burden on the medical care system. With the recognition of FM as a major health problem, many recent studies have evaluated the pathophysiology of FM. Although the etiology of FM remains unknown, it is thought to involve some combination of genetic susceptibility and environmental exposure that triggers further alterations in gene expression. Because FM shows marked familial aggregation, most previous research has focused on genetic predisposition to FM and has revealed associations between genetic factors and the development of FM, including specific gene polymorphisms involved in the serotonergic, dopaminergic, and catecholaminergic pathways. The aim of this review was to discuss the current evidence regarding genetic factors that may play a role in the development and symptom severity of FM.
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Affiliation(s)
- Dong-Jin Park
- Division of Rheumatology, Department of Internal Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Ji-Hyoun Kang
- Division of Rheumatology, Department of Internal Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Yi-Rang Yim
- Division of Rheumatology, Department of Internal Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Ji-Eun Kim
- Division of Rheumatology, Department of Internal Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Jeong-Won Lee
- Division of Rheumatology, Department of Internal Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Kyung-Eun Lee
- Division of Rheumatology, Department of Internal Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Lihui Wen
- Division of Rheumatology, Department of Internal Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Tae-Jong Kim
- Division of Rheumatology, Department of Internal Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Yong-Wook Park
- Division of Rheumatology, Department of Internal Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Shin-Seok Lee
- Division of Rheumatology, Department of Internal Medicine, Chonnam National University Medical School and Hospital, Gwangju, Korea
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Abstract
Fibromyalgia syndrome (FMS), a condition characterized by chronic widespread pain and tenderness, is a complex condition considered to represent a paradigm of centralized pain. FMS has demonstrated a clear familial aggregation, and hence it is considered to have a genetic background. Multiple candidate-gene studies have been conducted in this field, focusing on target genes that play a role in the transmission and processing of pain. While many of these have focused in the past on markers related to neurotransmitter systems such as catecholamines (catechol-O-methyltransferase (COMT)) and serotonin, novel target genes have recently emerged. In addition, genome-wide sequencing scanning (genome-wide association study (GWAS)) is increasingly being harnessed for the study of chronic pain, including FMS. Micro RNAs are another novel field of research related to posttranscriptional inhibition of gene expression, which are currently regarding the pathogenesis of FMS.
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Affiliation(s)
- Jacob N Ablin
- Institute of Rheumatology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Dan Buskila
- Department of Medicine H, Soroka Medical Center, Ben Gurion University of the Negev, Beer Sheva, Israel; Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel.
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Bjersing JL, Bokarewa MI, Mannerkorpi K. Profile of circulating microRNAs in fibromyalgia and their relation to symptom severity: an exploratory study. Rheumatol Int 2014; 35:635-42. [PMID: 25261961 DOI: 10.1007/s00296-014-3139-3] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2014] [Accepted: 09/18/2014] [Indexed: 12/20/2022]
Abstract
Fibromyalgia (FM) is characterized by generalized chronic pain and reduced pain thresholds. Disturbed neuroendocrine function and impairment of growth hormone/insulin-like growth factor-1 is common. However, the pathophysiology of FM is not clear. MicroRNAs are important regulatory factors reflecting interface of genes and environment. Our aim was to identify characteristic microRNAs in FM and relations of specific microRNAs with characteristic symptoms. A total of 374 circulating microRNAs were measured in women with FM (n = 20; median 52.5 years) and healthy women (n = 20; 52.5 years) by quantitative PCR. Pain thresholds were examined by algometry. Pain [fibromyalgia impact questionnaire (FIQ) pain] levels were rated (0-100 mm) using FIQ. Fatigue (FIQ fatigue) was rated (0-100 mm) using FIQ and multidimensional fatigue inventory general fatigue. Sleep quantity and quality (1-4) rated from satisfactory to nonsatisfactory. Higher scores indicate more severe symptoms. Eight microRNAs differed significantly between FM and healthy women. Seven microRNAs, miR-103a-3p, miR-107, let-7a-5p, miR-30b-5p, miR-151a-5p, miR-142-3p and miR-374b-5p, were lower in FM. However, levels of miR-320a were higher in FM. MiR-103a-3p correlated with pain (r = 0.530, p = 0.016) and sleep quantity (r = 0.593, p = 0.006) in FM. MiR-320a correlated inversely with pain (r = -0.468, p = 0.037). MiR-374b-5p correlated inversely with pain threshold (r = -0.612, p = 0.004). MiR-30b-5p correlated with sleep quantity (r = 0.509, p = 0.022), and let-7a-5p was associated with sleep symptoms. When adjusted for body mass index, the correlation of sleep quantity with miR-103a and miR-30b was no longer significant. To our knowledge, this is the first study of circulating microRNAs in FM. Levels of several microRNAs differed significantly in FM compared to healthy women. Three microRNAs were associated with pain or pain threshold in FM.
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Affiliation(s)
- Jan L Bjersing
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10, Box 480, 40530, Göteborg, Sweden,
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Fibromyalgia and Sleep in Animal Models: A Current Overview and Future Directions. Curr Pain Headache Rep 2014; 18:434. [DOI: 10.1007/s11916-014-0434-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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Balkarli A, Sengül C, Tepeli E, Balkarli H, Cobankara V. Synaptosomal-associated protein 25 (Snap-25) gene polymorphism frequency in fibromyalgia syndrome and relationship with clinical symptoms. BMC Musculoskelet Disord 2014; 15:191. [PMID: 24885975 PMCID: PMC4229901 DOI: 10.1186/1471-2474-15-191] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2013] [Accepted: 05/21/2014] [Indexed: 11/23/2022] Open
Abstract
Background SNAP-25 protein is contributory to plasma membrane and synaptic vesicle fusions that are critical points in neurotransmission. SNAP-25 gene is associated with behavioral symptoms, personality and psychological disorders. In addition, SNAP-25 protein can be related to different neurotransmitter functions due to its association with vesicle membrane transition and fusion. This is important because neurologic, cognitive, and psychologic disorders in fibromyalgia syndrome (FMS) can be related to this function. This relationship may be enlightening for etiopathogenesis of FMS and treatment approaches. We aimed to study a SNAP-25 gene polymorphism, which is related to many psychiatric diseases, and FMS association in this prospective study. Methods We included 71 patients who were diagnosed according to new criteria and 57 matched healthy women in this study. Both groups were evaluated regarding age, height, weight, BMI, education level, marital and occupational status. A new diagnosis of FMS was made from criteria scoring, SF-36, Beck depression scale, and VAS that were applied to the patient group. SNAP-25 gene polymorphism and disease activity score correlations were compared. Results Mean age was 38±5,196 and 38.12±4.939 in patient and control groups, respectively (p=0.542). No significant difference was found between groups regarding age, height, weight, BMI, education level, marital or occupational status (p > 0.05). Ddel T/C genotype was significantly higher in the patient group (p = 0.009). MnlI gene polymorphism did not show a correlation with any score whereas a significant correlation was found between Ddel T/C genotype and Beck depression scale and VAS score (p < 0.05). Conclusion FMS etiopathogenesis is not clearly known. Numerous neurologic, cognitive and psychological disorders were found during studies looking at cause. Our study showed increased SNAP-25 Ddel T/C genotype in FMS patients compared to the control group, which is related to behavioral symptoms, personality and psychological disorders in FMS patients.
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Affiliation(s)
- Ayse Balkarli
- Department of Internal Medicine, Division of Rheumatology, Pamukkale University Hospital, Kınıklı, 20070 Denizli, Turkey.
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Kashikar-Zuck S, Ting TV. Juvenile fibromyalgia: current status of research and future developments. Nat Rev Rheumatol 2014; 10:89-96. [PMID: 24275966 PMCID: PMC4470499 DOI: 10.1038/nrrheum.2013.177] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Juvenile-onset fibromyalgia (JFM) is a poorly understood chronic pain condition most commonly affecting adolescent girls. The condition is characterized by widespread musculoskeletal pain and other associated symptoms, including fatigue, nonrestorative sleep, headaches, irritable bowel symptoms, dysautonomia and mood disorders such as anxiety and/or depression. In the past few years, there has been a greater focus on understanding JFM in adolescents. Research studies have provided insight into the clinical characteristics of this condition and its effect on both short-term and long-term psychosocial and physical functioning. The importance of early and effective intervention is being recognized, as research has shown that symptoms of JFM tend to persist and do not resolve over time as was previously believed. Efforts to improve treatments for JFM are underway, and new evidence strongly points to the potential benefits of cognitive-behavioural therapy on improving mood and daily functioning. Research into pharmacotherapy and other nonpharmacological options is in progress. Advancements in the understanding of adult fibromyalgia have paved the way for future studies on diagnosis, assessment and management of JFM. This Review focuses on our current knowledge of the condition, provides an update of the latest research advances, and highlights areas for further study.
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Affiliation(s)
- Susmita Kashikar-Zuck
- Division of Behavioural Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Centre, University of Cincinnati College of Medicine, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Tracy V Ting
- Division of Paediatric Rheumatology, Cincinnati Children's Hospital Medical Centre, University of Cincinnati College of Medicine, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
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Epigenetic alterations and an increased frequency of micronuclei in women with fibromyalgia. Nurs Res Pract 2013; 2013:795784. [PMID: 24058735 PMCID: PMC3766610 DOI: 10.1155/2013/795784] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Accepted: 07/14/2013] [Indexed: 01/01/2023] Open
Abstract
Fibromyalgia (FM), characterized by chronic widespread pain, fatigue, and cognitive/mood disturbances, leads to reduced workplace productivity and increased healthcare expenses. To determine if acquired epigenetic/genetic changes are associated with FM, we compared the frequency of spontaneously occurring micronuclei (MN) and genome-wide methylation patterns in women with FM (n = 10) to those seen in comparably aged healthy controls (n = 42 (MN); n = 8 (methylation)). The mean (sd) MN frequency of women with FM (51.4 (21.9)) was significantly higher than that of controls (15.8 (8.5)) (χ2 = 45.552; df = 1; P = 1.49 × 10−11). Significant differences (n = 69 sites) in methylation patterns were observed between cases and controls considering a 5% false discovery rate. The majority of differentially methylated (DM) sites (91%) were attributable to increased values in the women with FM. The DM sites included significant biological clusters involved in neuron differentiation/nervous system development, skeletal/organ system development, and chromatin compaction. Genes associated with DM sites whose function has particular relevance to FM included BDNF, NAT15, HDAC4, PRKCA, RTN1, and PRKG1. Results support the need for future research to further examine the potential role of epigenetic and acquired chromosomal alterations as a possible biological mechanism underlying FM.
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Discovery of potential new gene variants and inflammatory cytokine associations with fibromyalgia syndrome by whole exome sequencing. PLoS One 2013; 8:e65033. [PMID: 23762283 PMCID: PMC3677902 DOI: 10.1371/journal.pone.0065033] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2013] [Accepted: 04/19/2013] [Indexed: 11/19/2022] Open
Abstract
Fibromyalgia syndrome (FMS) is a chronic musculoskeletal pain disorder affecting 2% to 5% of the general population. Both genetic and environmental factors may be involved. To ascertain in an unbiased manner which genes play a role in the disorder, we performed complete exome sequencing on a subset of FMS patients. Out of 150 nuclear families (trios) DNA from 19 probands was subjected to complete exome sequencing. Since >80,000 SNPs were found per proband, the data were further filtered, including analysis of those with stop codons, a rare frequency (<2.5%) in the 1000 Genomes database, and presence in at least 2/19 probands sequenced. Two nonsense mutations, W32X in C11orf40 and Q100X in ZNF77 among 150 FMS trios had a significantly elevated frequency of transmission to affected probands (p = 0.026 and p = 0.032, respectively) and were present in a subset of 13% and 11% of FMS patients, respectively. Among 9 patients bearing more than one of the variants we have described, 4 had onset of symptoms between the ages of 10 and 18. The subset with the C11orf40 mutation had elevated plasma levels of the inflammatory cytokines, MCP-1 and IP-10, compared with unaffected controls or FMS patients with the wild-type allele. Similarly, patients with the ZNF77 mutation have elevated levels of the inflammatory cytokine, IL-12, compared with controls or patients with the wild type allele. Our results strongly implicate an inflammatory basis for FMS, as well as specific cytokine dysregulation, in at least 35% of our FMS cohort.
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Dopamine transporter genotype dependent effects of apomorphine on cold pain tolerance in healthy volunteers. PLoS One 2013; 8:e63808. [PMID: 23704939 PMCID: PMC3660379 DOI: 10.1371/journal.pone.0063808] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2012] [Accepted: 04/06/2013] [Indexed: 12/01/2022] Open
Abstract
The aims of this study were to assess the effects of the dopamine agonist apomorphine on experimental pain models in healthy subjects and to explore the possible association between these effects and a common polymorphism within the dopamine transporter gene. Healthy volunteers (n = 105) participated in this randomized double-blind, placebo-controlled, cross-over trial. Heat pain threshold and intensity, cold pain threshold, and the response to tonic cold pain (latency, intensity, and tolerance) were evaluated before and for up to 120 min after the administration of 1.5 mg apomorphine/placebo. A polymorphism (3′-UTR 40-bp VNTR) within the dopamine transporter gene (SLC6A3) was investigated. Apomorphine had an effect only on tolerance to cold pain, which consisted of an initial decrease and a subsequent increase in tolerance. An association was found between the enhancing effect of apomorphine on pain tolerance (120 min after its administration) and the DAT-1 polymorphism. Subjects with two copies of the 10-allele demonstrated significantly greater tolerance prolongation than the 9-allele homozygote carriers and the heterozygote carriers (p = 0.007 and p = 0.003 in comparison to the placebo, respectively). In conclusion, apomorphine administration produced a decrease followed by a genetically associated increase in cold pain tolerance.
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Arnold LM, Fan J, Russell IJ, Yunus MB, Khan MA, Kushner I, Olson JM, Iyengar SK. The fibromyalgia family study: a genome-wide linkage scan study. ARTHRITIS AND RHEUMATISM 2013; 65:1122-8. [PMID: 23280346 PMCID: PMC3618544 DOI: 10.1002/art.37842] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2012] [Accepted: 12/18/2012] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Familial aggregation of fibromyalgia has been increasingly recognized. The goal of this study was to conduct a genome-wide linkage scan to identify susceptibility loci for fibromyalgia. METHODS We genotyped members of 116 families from the Fibromyalgia Family Study and performed a model-free genome-wide linkage analysis of fibromyalgia with 341 microsatellite markers, using the Haseman-Elston regression approach. RESULTS The estimated sibling recurrence risk ratio (λs ) for fibromyalgia was 13.6 (95% confidence interval 10.0-18.5), based on a reported population prevalence of 2%. Genome-wide suggestive evidence of linkage was observed at markers D17S2196 (empirical P [Pe ]=0.00030) and D17S1294 (Pe=0.00035) on chromosome 17p11.2-q11.2. CONCLUSION The estimated sibling recurrence risk ratio (λs ) observed in this study suggests a strong genetic component of fibromyalgia. This is the first report of genome-wide suggestive linkage of fibromyalgia to the chromosome 17p11.2-q11.2 region. Further investigation of these multicase families from the Fibromyalgia Family Study is warranted to identify potential causal risk variants for fibromyalgia.
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Affiliation(s)
- Lesley M. Arnold
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Jinbo Fan
- Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - I. Jon Russell
- Department of Medicine, University of Texas Health Sciences Center at San Antonio, San Antonio, Texas
| | - Muhammad B. Yunus
- Department of Medicine, University of Illinois College of Medicine, Peoria, Illinois
| | - Muhammad Asim Khan
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Irving Kushner
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Jane M. Olson
- Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Sudha K. Iyengar
- Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, Ohio
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Peters MJ, Broer L, Willemen HLDM, Eiriksdottir G, Hocking LJ, Holliday KL, Horan MA, Meulenbelt I, Neogi T, Popham M, Schmidt CO, Soni A, Valdes AM, Amin N, Dennison EM, Eijkelkamp N, Harris TB, Hart DJ, Hofman A, Huygen FJPM, Jameson KA, Jones GT, Launer LJ, Kerkhof HJM, de Kruijf M, McBeth J, Kloppenburg M, Ollier WE, Oostra B, Payton A, Rivadeneira F, Smith BH, Smith AV, Stolk L, Teumer A, Thomson W, Uitterlinden AG, Wang K, van Wingerden SH, Arden NK, Cooper C, Felson D, Gudnason V, Macfarlane GJ, Pendleton N, Slagboom PE, Spector TD, Völzke H, Kavelaars A, van Duijn CM, Williams FMK, van Meurs JBJ. Genome-wide association study meta-analysis of chronic widespread pain: evidence for involvement of the 5p15.2 region. Ann Rheum Dis 2013; 72:427-36. [PMID: 22956598 PMCID: PMC3691951 DOI: 10.1136/annrheumdis-2012-201742] [Citation(s) in RCA: 101] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2012] [Accepted: 07/19/2012] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND OBJECTIVES Chronic widespread pain (CWP) is a common disorder affecting ∼10% of the general population and has an estimated heritability of 48-52%. In the first large-scale genome-wide association study (GWAS) meta-analysis, we aimed to identify common genetic variants associated with CWP. METHODS We conducted a GWAS meta-analysis in 1308 female CWP cases and 5791 controls of European descent, and replicated the effects of the genetic variants with suggestive evidence for association in 1480 CWP cases and 7989 controls. Subsequently, we studied gene expression levels of the nearest genes in two chronic inflammatory pain mouse models, and examined 92 genetic variants previously described associated with pain. RESULTS The minor C-allele of rs13361160 on chromosome 5p15.2, located upstream of chaperonin-containing-TCP1-complex-5 gene (CCT5) and downstream of FAM173B, was found to be associated with a 30% higher risk of CWP (minor allele frequency=43%; OR=1.30, 95% CI 1.19 to 1.42, p=1.2×10(-8)). Combined with the replication, we observed a slightly attenuated OR of 1.17 (95% CI 1.10 to 1.24, p=4.7×10(-7)) with moderate heterogeneity (I2=28.4%). However, in a sensitivity analysis that only allowed studies with joint-specific pain, the combined association was genome-wide significant (OR=1.23, 95% CI 1.14 to 1.32, p=3.4×10(-8), I2=0%). Expression levels of Cct5 and Fam173b in mice with inflammatory pain were higher in the lumbar spinal cord, not in the lumbar dorsal root ganglions, compared to mice without pain. None of the 92 genetic variants previously described were significantly associated with pain (p>7.7×10(-4)). CONCLUSIONS We identified a common genetic variant on chromosome 5p15.2 associated with joint-specific CWP in humans. This work suggests that CCT5 and FAM173B are promising targets in the regulation of pain.
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Affiliation(s)
- Marjolein J Peters
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
| | - Linda Broer
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Hanneke L D M Willemen
- Laboratory of Neuroimmunology and Developmental Origins of Disease, University Medical Center Utrecht, The Netherlands
| | | | - Lynne J Hocking
- Aberdeen Pain Research Collaboration (Musculoskeletal Research), University of Aberdeen, Aberdeen, UK
| | - Kate L Holliday
- Arthritis Research UK Epidemiology Unit, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Michael A Horan
- Mental Health and Neurodegeneration Group, School Community Based Medicine, University of Manchester, Manchester, UK
| | - Ingrid Meulenbelt
- Department of Medical Statistics and Bioinformatics, Section of Molecular Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Tuhina Neogi
- Clinical Epidemiology Unit, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Maria Popham
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Carsten O Schmidt
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Anushka Soni
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - Ana M Valdes
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand
| | - Niels Eijkelkamp
- Molecular Nociception Group, University College London, London, UK
| | - Tamara B Harris
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Deborah J Hart
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Frank J P M Huygen
- Department of Anaesthesiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Karen A Jameson
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Gareth T Jones
- Aberdeen Pain Research Collaboration (Epidemiology Group), University of Aberdeen, Aberdeen, UK
| | - Lenore J Launer
- Intramural Research Program, Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, Maryland, USA
| | - Hanneke J M Kerkhof
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
| | - Marjolein de Kruijf
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
- Department of Anaesthesiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - John McBeth
- Arthritis Research UK Epidemiology Unit, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Margreet Kloppenburg
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - William E Ollier
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK
| | - Ben Oostra
- Department of Clinical Genetics, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Antony Payton
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Blair H Smith
- Medical Research Institute, University of Dundee, Dundee, UK
| | - Albert V Smith
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Lisette Stolk
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
| | - Alexander Teumer
- Institute of Functional Genomics, Ernst Moritz Arndt University Greifswald, University of Greifswald, Greifswald, Germany
| | - Wendy Thomson
- Arthritis Research UK Epidemiology Unit, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ke Wang
- Clinical Epidemiology Unit, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Sophie H van Wingerden
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Nigel K Arden
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Biomedical Research Unit, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - David Felson
- Clinical Epidemiology Unit, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association Research Institute, Kopavogur, Iceland
- Department of Medicine, University of Iceland, Reykjavik, Iceland
| | - Gary J Macfarlane
- Aberdeen Pain Research Collaboration (Epidemiology Group), University of Aberdeen, Aberdeen, UK
| | - Neil Pendleton
- Mental Health and Neurodegeneration Group, School Community Based Medicine, University of Manchester, Manchester, UK
| | - P Eline Slagboom
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
- Department of Medical Statistics and Bioinformatics, Section of Molecular Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, Greifswald, Germany
| | - Annemieke Kavelaars
- Laboratory of Neuroimmunology and Developmental Origins of Disease, University Medical Center Utrecht, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
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Woda A, L'heveder G, Ouchchane L, Bodéré C. Effect of experimental stress in 2 different pain conditions affecting the facial muscles. THE JOURNAL OF PAIN 2013; 14:455-66. [PMID: 23453565 DOI: 10.1016/j.jpain.2012.12.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2012] [Revised: 11/29/2012] [Accepted: 12/11/2012] [Indexed: 10/27/2022]
Abstract
UNLABELLED Chronic facial muscle pain is a common feature in both fibromyalgia (FM) and myofascial (MF) pain conditions. In this controlled study, a possible difference in the mode of deregulation of the physiological response to a stressing stimulus was explored by applying an acute mental stress to FM and MF patients and to controls. The effects of the stress test were observed on pain, sympathetic variables, and both tonic and reflex electromyographic activities of masseteric and temporal muscles. The statistical analyses were performed through a generalized linear model including mixed effects. Painful reaction to the stressor was stronger (P < .001) and longer (P = .011) in FM than in MF independently of a higher pain level at baseline. The stress-induced autonomic changes only seen in FM patients did not reach significance. The electromyographic responses to the stress test were strongest for controls and weakest for FM. The stress test had no effect on reflex activity (area under the curve [AUC]) or latency, although AUC was high in FM and latencies were low in both pain groups. It is suggested that FM is characterized by a lower ability to adapt to acute stress than MF. PERSPECTIVE This study showed that an acute psychosocial stress triggered several changes in 2 pain conditions including an increase in pain of larger amplitude in FM than in MF pain. Similar stress-induced changes should be explored as possible mechanisms for differentiation between dysfunctional pain conditions.
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Affiliation(s)
- Alain Woda
- Faculté Dentaire, Centre Recherche Odontologie Clinique, France. alain.woda@-clermont1.fr
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KIM SEONGKYU, KIM SEONGHO, NAH SEONGSU, LEE JIHYUN, HONG SEUNGJAE, KIM HYUNSOOK, LEE HYESOON, KIM HYOUNAH, JOUNG CHUNGIL, BAE JISUK, CHOE JUNGYOON, LEE SHINSEOK. Association of Guanosine Triphosphate Cyclohydrolase 1 Gene Polymorphisms with Fibromyalgia Syndrome in a Korean Population. J Rheumatol 2013; 40:316-22. [DOI: 10.3899/jrheum.120929] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Objective.Guanosine triphosphate cyclohydrolase 1 (GCH1) is the rate-limiting enzyme in the synthesis of tetrahydrobiopterin, which is an essential cofactor in nitric oxide (NO) production. Polymorphisms in theGCH1gene have been implicated in protection against pain sensitivity. The aim of our study was to determine whether single-nucleotide polymorphisms (SNP) in theGCH1gene affect susceptibility and/or pain sensitivity in fibromyalgia syndrome (FM).Methods.A total of 409 patients with FM and 422 controls were enrolled. The alleles and genotypes at 4 positions [rs3783641(T>A), rs841(C>T), rs752688(C>T), and rs4411417(T>C)] in theGCH1gene were analyzed. The associations of theGCH1SNP with susceptibility and clinical measures in patients with FM were assessed.Results.The frequencies of alleles and genotypes of the 4 SNP did not differ between patients with FM and healthy controls. Among 13 constructed haplotypes, we further examined 4 (CCTT, TTCT, TTCA, and CCTA) with > 1% frequency in both FM and controls. No associations ofGCH1polymorphisms with FM-related activity or severity indexes were found, although the number and total score of tender points in patients with FM differed among the 4 haplotypes (p = 0.03 and p = 0.01, respectively). The CCTA haplotype ofGCH1was associated with significantly lower pain sensitivity and occurred less frequently than the CCTT haplotype in patients with FM (p = 0.04, OR 0.45, 95% CI 0.21–0.96).Conclusion.Our study provides evidence that certainGCH1haplotypes may be protective against susceptibility and pain sensitivity in FM. Our data suggest that NO is responsible for pain sensitivity in the pathogenesis of FM.
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Fibromyalgia syndrome: etiology, pathogenesis, diagnosis, and treatment. PAIN RESEARCH AND TREATMENT 2012; 2012:426130. [PMID: 23213512 PMCID: PMC3503476 DOI: 10.1155/2012/426130] [Citation(s) in RCA: 144] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2012] [Revised: 09/09/2012] [Accepted: 09/12/2012] [Indexed: 02/06/2023]
Abstract
Fibromyalgia syndrome is mainly characterized by pain, fatigue, and sleep disruption. The etiology of fibromyalgia is still unclear: if central sensitization is considered to be the main mechanism involved, then many other factors, genetic, immunological, and hormonal, may play an important role. The diagnosis is typically clinical (there are no laboratory abnormalities) and the physician must concentrate on pain and on its features. Additional symptoms (e.g., Raynaud's phenomenon, irritable bowel disease, and heat and cold intolerance) can be associated with this condition. A careful differential diagnosis is mandatory: fibromyalgia is not a diagnosis of exclusion. Since 1990, diagnosis has been principally based on the two major diagnostic criteria defined by the ACR. Recently, new criteria have been proposed. The main goals of the treatment are to alleviate pain, increase restorative sleep, and improve physical function. A multidisciplinary approach is optimal. While most nonsteroidal anti-inflammatory drugs and opioids have limited benefit, an important role is played by antidepressants and neuromodulating antiepileptics: currently duloxetine (NNT for a 30% pain reduction 7.2), milnacipran (NNT 19), and pregabalin (NNT 8.6) are the only drugs approved by the US Food and Drug Administration for the treatment of fibromyalgia. In addition, nonpharmacological treatments should be associated with drug therapy.
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Smith SB, Maixner DW, Fillingim RB, Slade G, Gracely RH, Ambrose K, Zaykin DV, Hyde C, John S, Tan K, Maixner W, Diatchenko L. Large candidate gene association study reveals genetic risk factors and therapeutic targets for fibromyalgia. ACTA ACUST UNITED AC 2012; 64:584-93. [PMID: 21905019 DOI: 10.1002/art.33338] [Citation(s) in RCA: 71] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE Fibromyalgia (FM) represents a complex disorder that is characterized by widespread pain and tenderness and is frequently accompanied by additional somatic and cognitive/affective symptoms. Genetic risk factors are known to contribute to the etiology of the syndrome. The aim of this study was to examine >350 genes for association with FM, using a large-scale candidate gene approach. METHODS The study group comprised 496 patients with FM (cases) and 348 individuals with no chronic pain (controls). Genotyping was performed using a dedicated gene array chip, the Pain Research Panel, which assays variants characterizing >350 genes known to be involved in the biologic pathways relevant to nociception, inflammation, and mood. Association testing was performed using logistic regression. RESULTS Significant differences in allele frequencies between cases and controls were observed for 3 genes: GABRB3 (rs4906902; P = 3.65 × 10(-6)), TAAR1 (rs8192619; P = 1.11 × 10(-5)), and GBP1 (rs7911; P = 1.06 × 10(-4)). These 3 genes and 7 other genes with suggestive evidence for association were examined in a second, independent cohort of patients with FM and control subjects who were genotyped using the Perlegen 600K platform. Evidence of association in the replication cohort was observed for TAAR1, RGS4, CNR1, and GRIA4. CONCLUSION Variation in these 4 replicated genes may serve as a basis for development of new diagnostic approaches, and the products of these genes may contribute to the pathophysiology of FM and represent potential targets for therapeutic action.
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Affiliation(s)
- Shad B Smith
- Algynomics, Chapel Hill, North Carolina 27514, USA
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Malin K, Littlejohn GO. Personality and fibromyalgia syndrome. Open Rheumatol J 2012; 6:273-85. [PMID: 23002409 PMCID: PMC3447191 DOI: 10.2174/1874312901206010273] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2012] [Revised: 07/29/2012] [Accepted: 08/02/2012] [Indexed: 11/22/2022] Open
Abstract
Objectives:
We aimed to review how personality characteristics contribute to the onset, maintenance or modulation of fibromyalgia. Method:
The databases Medline and PsychINFO were examined from 1967 to 2012 to identify studies that investigated associations between fibromyalgia and personality. Search terms included fibromyalgia and personality, trait psychology, characteristics and individual differences. Results:
Numerous studies indicate that patients with fibromyalgia experience psychological distress. Various instruments have been used to evaluate distress and related psychological domains, such as anxiety or depression, in fibromyalgia. In many cases, these same instruments have been used to study personality characteristics in fibromyalgia with a subsequent blurring of cause and effect between personality and psychological distress. In addition, the symptoms of fibromyalgia may change pre-illness personality characteristics themselves. These issues make it difficult to identify specific personality characteristics that might influence the fibromyalgia process. Despite this inherent problem with the methodologies used in the studies that make up this literature review, or perhaps because of it, we found no defined personality profile specific to fibromyalgia. However, many patients with fibromyalgia do show personality characteristics that facilitate psychological responses to stressful situations, such as catastrophising or poor coping techniques, and these in turn associate with mechanisms contributing to fibromyalgia. Conclusion:
No specific fibromyalgia personality is defined but it is proposed that personality is an important filter that modulates a person’s response to psychological stressors. Certain personalities may facilitate translation of these stressors to physiological responses driving the fibromyalgia mechanism.
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Affiliation(s)
- Katrina Malin
- Department of Medicine, Monash University, Melbourne, Australia
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Guymer EK, Maruff P, Littlejohn GO. Clinical characteristics of 150 consecutive fibromyalgia patients attending an Australian public hospital clinic. Int J Rheum Dis 2012; 15:348-57. [PMID: 22898214 DOI: 10.1111/j.1756-185x.2012.01767.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
AIM To describe clinical characteristics of fibromyalgia in an Australian population. METHOD Data was collected from 150 consecutive patients with clinical features of fibromyalgia seen in an Australian public hospital clinic. Demographic information and clinical characteristics were recorded. Significant correlations between clinical characteristics were identified, then used in multiple regression analyses to identify factors influencing outcome in physical function, pain, fatigue and sleep disturbance. Clinical features in groups who were or were not using different treatment strategies were compared. RESULTS Most patients were female and Caucasian. The majority reported a recognizable trigger factor and many had associated conditions, most commonly headache and irritable bowel syndrome. Physical function was significantly accounted for by pain levels (P = 0.001); pain score was significantly predicted by tenderness (P = 0.002) and physical function level (P = 0.001); fatigue levels were significantly influenced by age (P = 0.007) and sleep disturbance (P < 0.001), and sleep disturbance was significantly predicted by fatigue (P < 0.001). Just over one-third (34%) of patients were using fibromyalgia medications (low-dose tricyclic antidepressant, pregabalin or duloxetine); however, they had less anxiety (P = 0.006) and better reported physical function (P = 0.04) than those who were not. Less than half (43.6%) of the patients were regularly exercising; however, they had reduced overall illness impact scores (P = 0.004), better physical function (P = 0.01) and less fatigue (P = 0.03), anxiety (P = 0.02) and depressive features (P = 0.008) than non-exercisers. CONCLUSION Baseline clinical characteristics in this group were comparable to other study populations. The use of management modalities with proven benefit in fibromyalgia was limited; however, those patients who were engaged in regular exercise or using medication had better self-reported outcome measures than those who were not.
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Affiliation(s)
- Emma K Guymer
- Department of Rheumatology, Monash Medical Centre, Clayton, Victoria, Australia.
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Ablin JN, Buskila D, Van Houdenhove B, Luyten P, Atzeni F, Sarzi-Puttini P. Is fibromyalgia a discrete entity? Autoimmun Rev 2012; 11:585-8. [DOI: 10.1016/j.autrev.2011.10.018] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Abstract
Fibromyalgia syndrome is a common chronic pain disorder of unknown etiology. The lack of understanding of the pathophysiology of fibromyalgia has made this condition frustrating for patients and clinicians alike. The most common symptoms of this disorder are chronic widespread pain, fatigue, sleep disturbances, difficulty with memory, and morning stiffness. Emerging evidence points towards augmented pain processing within the central nervous system (CNS) as having a primary role in the pathophysiology of this disorder. Currently the two drugs that are approved by the United States Food and Drug Administration (FDA) for the management of fibromyalgia are pregabalin and duloxetine. Newer data suggests that milnacipran, a dual norepinephrine and serotonin reuptake inhibitor, may be promising for the treatment of fibromyalgia. A double-blind, placebo-controlled trial of milnacipran in 125 fibromyalgia patients showed significant improvements relative to placebo. Milnacipran given either once or twice daily at doses up to 200 mg/day was generally well tolerated and yielded significant improvements relative to placebo on measures of pain, patient's global impression of change in their disease state, physical function, and fatigue. Future studies are needed to validate the efficacy of milnacipran in fibromyalgia.
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Affiliation(s)
- Richard E Harris
- Department of Anesthesiology, The University of Michigan, Ann, Arbor, MI, USA.
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Early life adversity as a risk factor for fibromyalgia in later life. PAIN RESEARCH AND TREATMENT 2011; 2012:140832. [PMID: 22110940 PMCID: PMC3196867 DOI: 10.1155/2012/140832] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/27/2011] [Accepted: 07/25/2011] [Indexed: 12/03/2022]
Abstract
The impact of early life events is increasingly becoming apparent, as studies investigate how early childhood can shape long-term physiology and behaviour. Fibromyalgia (FM), which is characterised by increased pain sensitivity and a number of affective co-morbidities, has an unclear etiology. This paper discusses risk factors from early life that may increase the occurrence or severity of FM in later life: pain experience during neonatal life causes long-lasting changes in nociceptive circuitry and increases pain sensitivity in the older organism; premature birth and related stressor exposure cause lasting changes in stress responsivity; maternal deprivation affects anxiety-like behaviours that may be partially mediated by epigenetic modulation of the genome—all these adult phenotypes are strikingly similar to symptoms displayed by FM sufferers. In addition, childhood trauma and exposure to substances of abuse may cause lasting changes in developing neurotransmitter and endocrine circuits that are linked to anxiety and stress responses.
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Genetics and Gene Expression Involving Stress and Distress Pathways in Fibromyalgia with and without Comorbid Chronic Fatigue Syndrome. PAIN RESEARCH AND TREATMENT 2011; 2012:427869. [PMID: 22110941 PMCID: PMC3200121 DOI: 10.1155/2012/427869] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2011] [Accepted: 07/08/2011] [Indexed: 12/19/2022]
Abstract
In complex multisymptom disorders like fibromyalgia syndrome (FMS) and chronic fatigue syndrome (CFS) that are defined primarily by subjective symptoms, genetic and gene expression profiles can provide very useful objective information. This paper summarizes research on genes that may be linked to increased susceptibility in developing and maintaining these disorders, and research on resting and stressor-evoked changes in leukocyte gene expression, highlighting physiological pathways linked to stress and distress. These include the adrenergic nervous system, the hypothalamic-pituitary-adrenal axis and serotonergic pathways, and exercise responsive metabolite-detecting ion channels. The findings to date provide some support for both inherited susceptibility and/or physiological dysregulation in all three systems, particularly for catechol-O-methyl transferase (COMT) genes, the glucocorticoid and the related mineralocorticoid receptors (NR3C1, NR3C2), and the purinergic 2X4 (P2X4) ion channel involved as a sensory receptor for muscle pain and fatigue and also in upregulation of spinal microglia in chronic pain models. Methodological concerns for future research, including potential influences of comorbid clinical depression and antidepressants and other medications, on gene expression are also addressed.
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Treister R, Pud D, Ebstein RP, Laiba E, Raz Y, Gershon E, Haddad M, Eisenberg E. Association Between Polymorphisms in Serotonin and Dopamine-Related Genes and Endogenous Pain Modulation. THE JOURNAL OF PAIN 2011; 12:875-83. [DOI: 10.1016/j.jpain.2011.02.348] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2010] [Revised: 01/17/2011] [Accepted: 02/07/2011] [Indexed: 12/16/2022]
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Xiao Y, Russell IJ, Liu YG. A brain-derived neurotrophic factor polymorphism Val66Met identifies fibromyalgia syndrome subgroup with higher body mass index and C-reactive protein. Rheumatol Int 2011; 32:2479-85. [PMID: 21773883 DOI: 10.1007/s00296-011-1990-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2010] [Accepted: 07/03/2011] [Indexed: 02/07/2023]
Abstract
A common single nucleotide polymorphism (SNP) in the gene of brain-derived neurotrophic factor (BDNF) results from a substitution at position 66 from valine (Val) to methionine (Met) and may predispose to human neuropsychiatric disorders. We proposed to determine whether these BDNF gene SNPs were associated with fibromyalgia syndrome (FMS) and/or any of its typical phenotypes. Patients with FMS (N = 95) and healthy normal controls (HNC, N = 58) were studied. Serum high-sensitivity C-reactive protein (hsCRP) levels were measured using an enzyme-linked immunosorbent assay (ELISA). The BDNF SNPs were determined using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP).The BDNF SNP distribution was 65 (68%) Val/Val, 28 (30%) Val/Met, and 2 (2%) Met/Met for FMS and 40 (69%), 17(29%), and 1 (2%) for HNC, respectively. The serum high-sensitivity C-reactive protein (hsCRP)and body mass index (BMI) in FMS were higher than in HNC. The FMS with BDNF Val66Val had significantly higher mean BMI (P = 0.0001) and hsCRP (P = 0.02) than did FMS carrying the Val66Met genotype. This pattern was not found in HNC. Phenotypic measures of subjective pain, pain threshold, depression, or insomnia did not relate to either of the BDNF SNPs in FMS. The relative distribution BDNF SNPs did not differ between FMS and HNC. The BDNF Val66Met polymorphism is not selective for FMS. The BDNF Val66Val SNP identifies a subgroup of FMS with elevated hsCRP and higher BMI. This is the first study to associate a BDNF polymorphism with a FMS subgroup phenotype.
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Affiliation(s)
- Yangming Xiao
- Department of Medicine\Clinical Immunology, The University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
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Abstract
Individuals with fibromyalgia generally experience chronic widespread pain, which can be accompanied by further symptoms including fatigue, sleep disturbances, cognitive dysfunction, anxiety and depressive episodes. As the recognition and diagnosis of fibromyalgia has improved, the availability of therapeutic options for patients has increased. Furthermore, research into the neurobiological mechanisms that contribute to the chronic pain and concomitant symptoms experienced by patients with fibromyalgia has advanced our understanding of this debilitating disorder. In this Review, we aim to provide an overview of existing pathophysiological concepts. The roles of biological and psychological stress, genetic factors, and pain and sensory processing in the pathophysiology of fibromyalgia and related conditions are discussed. In addition, pharmacological treatments, including monoamine modulators, calcium channel modulators and γ-aminobutyric acid modulators, as well as nonpharmacological treatment options are considered.
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Affiliation(s)
- Tobias Schmidt-Wilcke
- Chronic Pain and Fatigue Research Center, Department of Anesthesiology, University of Michigan, Ann Arbor, 48106, USA. tobiass@ med.umich.edu
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Lee YH, Choi SJ, Ji JD, Song GG. Candidate gene studies of fibromyalgia: a systematic review and meta-analysis. Rheumatol Int 2010; 32:417-26. [DOI: 10.1007/s00296-010-1678-9] [Citation(s) in RCA: 88] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2010] [Accepted: 11/14/2010] [Indexed: 11/28/2022]
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Amar S, Ovadia O, Maier W, Ebstein R, Belmaker RH, Mishmar D, Agam G. Copy number variation of the SELENBP1 gene in schizophrenia. Behav Brain Funct 2010; 6:40. [PMID: 20615253 PMCID: PMC2915948 DOI: 10.1186/1744-9081-6-40] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2010] [Accepted: 07/08/2010] [Indexed: 12/12/2022] Open
Abstract
Background Schizophrenia is associated with rare copy-number (CN) mutations. Screening for such alleles genome-wide, though comprehensive, cannot study in-depth the causality of particular loci, therefore cannot provide the functional interpretation for the disease etiology. We hypothesized that CN mutations in the SELENBP1 locus could associate with the disorder and that these mutations could alter the gene product's activity in patients. Methods We analyzed SELENBP1 CN variation (CNV) in blood DNA from 49 schizophrenia patients and 49 controls (cohort A). Since CN of genes may vary among tissues, we investigated SELENBP1 CN in age- sex- and postmortem interval-matched cerebellar DNA samples from 14 patients and 14 controls (cohort B). Since CNV may either be de-novo or inherited we analyzed CNV of the SELENBP1 locus in blood DNA from 26 trios of schizophrenia probands and their healthy parents (cohort C). SELENBP1 mRNA levels were measured by real-time PCR. Results In cohort A reduced CN of the SELENBP1 locus was found in four patients but in none of the controls. In cohort B we found reduced CN of the SELENBP1 locus in two patients but in none of the controls. In cohort C three patients exhibited drastic CN reduction, not present in their parents, indicating de-novo mutation. A reduction in SELENBP1 mRNA levels in the postmortem cerebellar samples of schizophrenia patients was found. Conclusions We report a focused study of CN mutations in the selenium binding-protein1 (SELENBP1) locus previously linked with schizophrenia. We provide evidence for recurrence of decreased CN of the SELENBP1 locus in three unrelated patients' cohorts but not in controls, raising the possibility of functional involvement of these mutations in the etiology of the disease.
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Affiliation(s)
- Shirly Amar
- Psychiatry Research Unit, Faculty of Health Sciences, Ben-Gurion University of the Negev, and Mental Health Center, Beersheva, Israel
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