scholarly journals 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

Heliyon ◽  
2021 ◽  
pp. e07665
Author(s):  
João Malato ◽  
Franziska Sotzny ◽  
Sandra Bauer ◽  
Helma Freitag ◽  
André Fonseca ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Chronic Fatigue Syndrome ◽  
Angiotensin Converting Enzyme ◽  
Meta Analysis ◽  
Chronic Fatigue ◽  
Expression Data ◽  
Converting Enzyme ◽  
Angiotensin Converting Enzyme 2 ◽  
Fatigue Syndrome

scholarly journals The SARS-CoV-2 receptor angiotensin-converting enzyme 2 (ACE2) in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: analysis of high-throughput genetic, epigenetic, and gene expression studies

2021 ◽  
Author(s):  
João Malato ◽  
Franziska Sotzny ◽  
Sandra Bauer ◽  
Helma Freitag ◽  
André Fonseca ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Association Studies ◽  
Chronic Fatigue ◽  
Case Control ◽  
Healthy Controls ◽  
Converting Enzyme ◽  
Fatigue Syndrome ◽  
Expression Studies ◽  
Gene Expression Studies

Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) show specific epigenetic and gene expression signatures of the disease. However, it is unknown whether these signatures in ME/CFS include abnormal levels of the human angiotensin-converting enzyme ACE and ACE2, the latter being the main receptor described for host-cell invasion by SARS-CoV-2. To investigate that, we first reviewed published case-control genome-wide association studies based on single nucleotide polymorphism data, case-control epigenome-wide association studies based on DNA methylation data, and case-control gene expression studies based on microarray data. From these published studies, we did not find any evidence for a difference between patients with ME/CFS and healthy controls in terms of genetic variation, DNA methylation, and gene expression levels of ACE and ACE2. In line with this evidence, the analysis of a new data set on the ACE/ACE2 gene expression in peripheral blood mononuclear cells did not find any differences between a female cohort of 37 patients and 34 age-matched healthy controls. Future studies should be conducted to extend this investigation to other potential receptors used by SARS-CoV-2. These studies will help researchers and clinicians to better assess the health risk imposed by this virus when infecting patients with this debilitating disease.

scholarly journals Integrated Analysis of Gene Expression Differences in Twins Discordant for Disease and Binary Phenotypes

2017 ◽  
Author(s):  
Sivateja Tangirala ◽  
Chirag J Patel
Keyword(s):  
Gene Expression ◽  
Meta Analysis ◽  
Gene Expression Signature ◽  
Chronic Fatigue ◽  
Differentially Expressed ◽  
Integrated Analysis ◽  
Fatigue Syndrome ◽  
Genes And Environment ◽  
Intermittent Allergic Rhinitis ◽  
Differential Gene

AbstractWhile both genes and environment contribute to phenotype, deciphering environmental contributions to phenotype is a challenge. Furthermore, elucidating how different phenotypes may share similar environmental etiologies also is challenging. One way to identify environmental influences is through a discordant monozygotic (MZ) twin study design. Here, we assessed differential gene expression in MZ discordant twin pairs (affected vs. non-affected) for seven phenotypes, including chronic fatigue syndrome, obesity, ulcerative colitis, major depressive disorder, intermittent allergic rhinitis, physical activity, and intelligence quotient, comparing the spectrum of genes differentially expressed across seven phenotypes individually. Second, we performed meta-analysis for each gene to identify commonalities and differences in gene expression signatures between the seven phenotypes. In our integrative analyses, we found that there may be a common gene expression signature (with small effect sizes) across the phenotypes; however, differences between phenotypes with respect to differentially expressed genes were more prominently featured. Therefore, defining common environmentally induced pathways in phenotypes remains elusive. We make our work accessible by providing a new database (DiscTwinExprDB: http://apps.chiragjpgroup.org/disctwinexprdb/) for investigators to study non-genotypic influence on gene expression.

scholarly journals The prevalence of chronic fatigue syndrome/ myalgic encephalomyelitis: a meta-analysis

2013 ◽  
pp. 105 ◽  
Author(s):  
Samantha Johnston ◽  
Brenu ◽  
Don Staines ◽  
Marshall-Gradisnik
Keyword(s):  
Chronic Fatigue Syndrome ◽  
Meta Analysis ◽  
Chronic Fatigue ◽  
Myalgic Encephalomyelitis ◽  
Fatigue Syndrome
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