scholarly journals Gene Expression Subtypes in Patients with Chronic Fatigue Syndrome/Myalgic Encephalomyelitis

2008 ◽  
Vol 197 (8) ◽  
pp. 1171-1184 ◽  
Author(s):  
Jonathan R. Kerr ◽  
Robert Petty ◽  
Beverley Burke ◽  
John Gough ◽  
David Fear ◽  
...  
Keyword(s):  
Gene Expression ◽  
Chronic Fatigue Syndrome ◽  
Chronic Fatigue ◽  
Myalgic Encephalomyelitis ◽  
Fatigue Syndrome

Use of single-nucleotide polymorphisms (SNPs) to distinguish gene expression subtypes of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME)

2014 ◽  
Vol 67 (12) ◽  
pp. 1078-1083 ◽  
Author(s):  
Nana Shimosako ◽  
Jonathan R Kerr
Keyword(s):  
Gene Expression ◽  
Chronic Fatigue Syndrome ◽  
Chronic Fatigue ◽  
Endogenous Depression ◽  
Myalgic Encephalomyelitis ◽  
Snp Analysis ◽  
Nucleotide Polymorphisms ◽  
Goldengate Assay ◽  
Single Nucleotide ◽  
Fatigue Syndrome

AimsWe have reported gene expression changes in patients with chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) and the fact that such gene expression data can be used to identify subtypes of CFS/ME with distinct clinical phenotypes. Due to the difficulties in using a comparative gene expression method as an aid to CFS/ME disease and subtype-specific diagnosis, we have attempted to develop such a method based on single-nucleotide polymorphism (SNP) analysis.MethodsTo identify SNP allele associations with CFS/ME and CFS/ME subtypes, we tested genomic DNA of patients with CFS/ME (n=108), patients with endogenous depression (n=17) and normal blood donors (n=68) for 504 human SNP alleles located within 88 CFS-associated human genes using the SNP Genotyping GoldenGate Assay (Illumina, San Diego, California, USA). 360 ancestry informative markers (AIM) were also examined.Results21 SNPs were significantly associated with CFS/ME compared with depression and normal groups. 148 SNP alleles had a significant association with one or more CFS/ME subtypes. For each subtype, associated SNPs tended to be grouped together within particular genes. AIM SNPs indicated that 4 subjects were of Asian origin while the remainder were Caucasian. Hierarchical clustering of AIM data revealed the relatedness between 2 couples of patients with CFS only and confirmed the overall heterogeneity of all subjects.ConclusionsThis study provides evidence that human SNPs located within CFS/ME associated genes are associated with particular genomic subtypes of CFS/ME. Further work is required to develop this into a clinically useful subtype-specific diagnostic test.

scholarly journals Enhanced Gene Expression Following Vaccination in Chronic Fatigue Syndrome/Myalgic Encephalomyelitis

2013 ◽  
Vol 04 (03) ◽  
pp. 165-170
Author(s):  
Ekua W. Brenu ◽  
Gunn M. Atkinson ◽  
Mieke L. van Driel ◽  
Sanne Kreijkamp-Kaspers ◽  
Don R. Staines ◽  
...  
Keyword(s):  
Gene Expression ◽  
Chronic Fatigue Syndrome ◽  
Chronic Fatigue ◽  
Myalgic Encephalomyelitis ◽  
Fatigue Syndrome

scholarly journals Treatment Avenues in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Split-gender Pharmacogenomic Study of Gene-expression Modules

2019 ◽  
Vol 41 (5) ◽  
pp. 815-835.e6 ◽  
Author(s):  
Mary G. Jeffrey ◽  
Lubov Nathanson ◽  
Kristina Aenlle ◽  
Zachary M. Barnes ◽  
Mirza Baig ◽  
...  
Keyword(s):  
Gene Expression ◽  
Chronic Fatigue Syndrome ◽  
Chronic Fatigue ◽  
Myalgic Encephalomyelitis ◽  
Fatigue Syndrome

scholarly journals Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): Major Impact on Lives of Both Patients and Family Members

Medicina ◽  
2021 ◽  
Vol 57 (1) ◽  
pp. 43
Author(s):  
Esme Brittain ◽  
Nina Muirhead ◽  
Andrew Y. Finlay ◽  
Jui Vyas
Keyword(s):  
Quality Of Life ◽  
Chronic Fatigue Syndrome ◽  
Physical Health ◽  
Family Members ◽  
Chronic Fatigue ◽  
Myalgic Encephalomyelitis ◽  
World Health ◽  
Life Questionnaire ◽  
Fatigue Syndrome

Background and objectives: To explore the impacts that Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) has on the patient and their family members using the WHOQOL-BREF (Abbreviated World Health Organisation Quality of Life questionnaire) and FROM-16 (Family Reported Outcome Measure-16) quality of life assessments. Materials and Methods: A quantitative research study using postal questionnaires was conducted. A total of 39 adult volunteers expressed an interest in participating in the study: 24 returned appropriately completed questionnaires. Patients with ME/CFS completed the WHOQOL-BREF and up to four of their family members completed the FROM-16 questionnaire. Results: ME/CFS negatively affects the quality of life of the patient (median scores WHOQOL-BREF: Physical health = 19, Psychological = 44, Social relationships = 37.5, Environment = 56, n = 24) and their family members’ quality of life (FROM-16: Emotional = 9.5, Personal and social = 11.5, Overall = 20.5, n = 42). There was a significant correlation between the patient’s reported quality of life scores and their family members’ mean FROM-16 total scores. Conclusions: This study identifies the major impact that having an adult family member with ME/CFS has on the lives of partners and of other family members. Quality of life of ME/CFS patients was reduced most by physical health compared to the other domains. Quality of life of family members was particularly impacted by worry, family activities, frustration and sadness. This highlights the importance of measuring the impact on the lives of family members using tools such as the FROM-16 in the ME/CFS clinical encounter and ensuring appropriate support is widely available to family members.

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