Literature DB >> 30516085

Genome-epigenome interactions associated with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.

Santiago Herrera1,2, Wilfred C de Vega1,2,3, David Ashbrook1,2, Suzanne D Vernon4, Patrick O McGowan1,2,3,5,6.   

Abstract

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease of unknown etiology. Multiple studies point to disruptions in immune functioning in ME/CFS patients as well as specific genetic polymorphisms and alterations of the DNA methylome in lymphocytes. However, potential interactions between DNA methylation and genetic background in relation to ME/CFS have not been examined. In this study we explored this association by characterizing the epigenetic (~480 thousand CpG loci) and genetic (~4.3 million SNPs) variation between cohorts of ME/CFS patients and healthy controls. We found significant associations of DNA methylation states in T-lymphocytes at several CpG loci and regions with ME/CFS phenotype. These methylation anomalies are in close proximity to genes involved with immune function and cellular metabolism. Finally, we found significant correlations of genotypes with methylation modifications associated with ME/CFS. The findings from this study highlight the role of epigenetic and genetic interactions in complex diseases, and suggest several genetic and epigenetic elements potentially involved in the mechanisms of disease in ME/CFS.

Entities:  

Keywords:  Chronic Fatigue Syndrome; DNA methylation; Myalgic Encephalomyelitis; genotype; mQTL

Mesh:

Year:  2018        PMID: 30516085      PMCID: PMC6986787          DOI: 10.1080/15592294.2018.1549769

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  71 in total

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Authors:  C Rusu; M E Gee; C Lagacé; M Parlor
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3.  Cholecystokinin receptors in cells of the immune system.

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4.  CCK(2) receptor nullification attenuates lipopolysaccharide-induced sickness behavior.

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5.  Metabolic features of chronic fatigue syndrome.

Authors:  Robert K Naviaux; Jane C Naviaux; Kefeng Li; A Taylor Bright; William A Alaynick; Lin Wang; Asha Baxter; Neil Nathan; Wayne Anderson; Eric Gordon
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6.  Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis.

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8.  Epigenetic modifications and glucocorticoid sensitivity in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

Authors:  Wilfred C de Vega; Santiago Herrera; Suzanne D Vernon; Patrick O McGowan
Journal:  BMC Med Genomics       Date:  2017-02-23       Impact factor: 3.063

Review 9.  A narrative review on the similarities and dissimilarities between myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and sickness behavior.

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2.  Current Research Provides Insight into the Biological Basis and Diagnostic Potential for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).

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5.  DNA methylation profiles in the blood of newborn term infants born to mothers with obesity.

Authors:  Aya Sasaki; Kellie E Murphy; Laurent Briollais; Patrick O McGowan; Stephen G Matthews
Journal:  PLoS One       Date:  2022-05-02       Impact factor: 3.240

6.  Dynamic Epigenetic Changes during a Relapse and Recovery Cycle in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.

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7.  Changes in DNA methylation profiles of myalgic encephalomyelitis/chronic fatigue syndrome patients reflect systemic dysfunctions.

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8.  A SWATH-MS analysis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome peripheral blood mononuclear cell proteomes reveals mitochondrial dysfunction.

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9.  The SARS-CoV-2 receptor angiotensin-converting enzyme 2 (ACE2) in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: a meta-analysis of public DNA methylation and gene expression data.

Authors:  João Malato; Franziska Sotzny; Sandra Bauer; Helma Freitag; André Fonseca; Anna D Grabowska; Luís Graça; Clara Cordeiro; Luís Nacul; Eliana M Lacerda; Jesus Castro-Marrero; Carmen Scheibenbogen; Francisco Westermeier; Nuno Sepúlveda
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  9 in total

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