Literature DB >> 31635791

Skeletal muscle DNA methylation modifications and psychopharmacologic treatment in bipolar disorder.

Kyle J Burghardt1, Bradley H Howlett2, Elani Sanders2, Sabrina E Dass2, Zaher Msallaty3, Abduallah Mallisho3, Berhane Seyoum3, Zhengping Yi4.   

Abstract

Both severe mental illness and atypical antipsychotics have been independently associated with insulin resistance and weight gain. Altered regulation of skeletal muscle DNA methylation may play a role. We aimed to evaluate DNA methylation modifications in human skeletal muscle samples to further understand its potential role in the metabolic burden observed in psychiatric patients and psychopharmacologic treatment. Subjects were included in our study if they had a bipolar diagnosis and were currently treated with a mood stabilizer or atypical antipsychotic. A healthy control group free of psychiatric or physical disease was also included for comparisons. Anthropometric, BMI and hemoglobin A1C (HbA1C%) were measured. Fasting skeletal muscle biopsies were obtained and methylation levels of 5-methycytosine (5-mC), 5-hydroxymethylcytosine (5-hmC) and 5-formylcytosine (5-fC) were measured. Skeletal muscle global methylation of 5-mC and 5-fC were significantly higher in bipolar subjects compared to healthy controls. 5-mC was significantly higher in the AAP group compared to the mood stabilizer group. Significant correlations were observed between 5-fC methylation and HbA1C%. Our findings suggest that psychiatric disease and treatment may influence some methylation measures in the skeletal muscle of patients with bipolar disorder, which may be further influenced by medication treatment.
Copyright © 2019 Elsevier B.V. and ECNP. All rights reserved.

Entities:  

Keywords:  Antipsychotic; Bipolar; Methylation; Skeletal muscle

Year:  2019        PMID: 31635791      PMCID: PMC6924624          DOI: 10.1016/j.euroneuro.2019.10.001

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  61 in total

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2.  Atypical antipsychotics, insulin resistance and weight; a meta-analysis of healthy volunteer studies.

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Journal:  Bipolar Disord       Date:  2018-03-14       Impact factor: 6.744

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Authors:  Kyle J Burghardt; Jacyln M Goodrich; Dana C Dolinoy; Vicki L Ellingrod
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5.  Label-free proteomic identification of endogenous, insulin-stimulated interaction partners of insulin receptor substrate-1.

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Journal:  J Am Soc Mass Spectrom       Date:  2011-01-29       Impact factor: 3.109

Review 6.  The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10.

Authors:  D V Sheehan; Y Lecrubier; K H Sheehan; P Amorim; J Janavs; E Weiller; T Hergueta; R Baker; G C Dunbar
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7.  Human skeletal muscle biopsy procedures using the modified Bergström technique.

Authors:  R Andrew Shanely; Kevin A Zwetsloot; N Travis Triplett; Mary Pat Meaney; Gerard E Farris; David C Nieman
Journal:  J Vis Exp       Date:  2014-09-10       Impact factor: 1.355

8.  A refined, rapid and reproducible high resolution melt (HRM)-based method suitable for quantification of global LINE-1 repetitive element methylation.

Authors:  M Yat Tse; Janet E Ashbury; Nora Zwingerman; Will D King; Sherry Am Taylor; Stephen C Pang
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9.  Increased interaction with insulin receptor substrate 1, a novel abnormality in insulin resistance and type 2 diabetes.

Authors:  Michael Caruso; Danjun Ma; Zaher Msallaty; Monique Lewis; Berhane Seyoum; Wissam Al-janabi; Michael Diamond; Abdul B Abou-Samra; Kurt Højlund; Rebecca Tagett; Sorin Draghici; Xiangmin Zhang; Jeffrey F Horowitz; Zhengping Yi
Journal:  Diabetes       Date:  2014-02-28       Impact factor: 9.461

Review 10.  Systematic Review of Epigenetic Effects of Pharmacological Agents for Bipolar Disorders.

Authors:  Laura E Lockwood; Nagy A Youssef
Journal:  Brain Sci       Date:  2017-11-18
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Journal:  Front Neurosci       Date:  2021-05-13       Impact factor: 4.677

  1 in total

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