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ME/CFS Genetics Research

"Several of the genes identified by the team [CFS Research, UK - Dr. Jonathan Kerr] in CFS play important roles in mitochondria, the power factories of our cells. One of these gene products, EIF4G1, is involved in protein production in mitochondria. It is hijacked by some viruses, so cells may compensate by ramping up gene expression. The group's finding of upregulation of EIF4G1 is consistent with subclinical persistent viral infection."
-New Scientist writer Rowan Hooper-

DNA technology has added the exciting new genetics research field to the study of ME/CFS.  Already three independent research groups have gathered unique gene expression profiles, proving that ME/CFS patients differ from healthy controls in the areas of immune function, neuronal (brain) function, mitochondrial (energy) function, fatty acid metabolism, apoptosis (cell death), and exposure to environmental toxins.  According to these researchers, a definitive test for ME/CFS is on the horizon and  effective treatments are soon to follow.  See the articles list below.

2007 - 2006 - 2005 - 2003

   

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Neurology
Immunology
Circulatory/Cardio
Mitochondria/Energy
Genetics
DePaul Univ/Jason
Oxidative Stress
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'We want to characterise the gene abnormality linked to ME/CFS and then develop a simple diagnostic test which could be used in a primary healthcare setting. In addition, a knowledge of the genetics of ME/CFS will help us to develop new strategies for managing our patients."
-Dr. Abhijit Chaudhuri-


"Stress aggravates symptoms but does not cause them, a condition no different in [ME]CFIDS from that in other illnesses.  Walking on a twisted ankle may aggravate the pain but did not cause the twisted ankle originally."
-Dr. David Bell-


Online Medical Dictionary

 
         
 

2007

Seven genomic subtypes of Chronic Fatigue Syndrome / Myalgic Encephalomyelitis (CFS/ME): a detailed analysis of gene networks and clinical phenotypes. Jonathan Kerr, Beverly Burke, Robert Petty, John Gough, David Fear, Mattey David, John Axford, Angus Dalgleish and David Nutt.  "...we report in detail the genomic and phenotypic differences in 7 genomically-defined subtypes of CFS."  Text only version

2006

A first study of cytokine genomic polymorphisms in CFS: Positive association of TNF-857 and IFNgamma 874 rare alleles. (Abstract) N. Carlo-Stella, C. Badulli, A. De Silvestri, L. Bazzichi, M. Martinetti, L. Lorusso, S. Bombardieri, L.Salvaneschi, M. Cuccia; Affiliations: University of Pavia, San Matteo Polyclinic Hospital, Pavia; S. Chiara Hospital, Pisa; M. Mellini Hospital, Chiari, (BS), Italy.  "We hypothesize that CFS patients can have a genetic predisposition to an immunomodulatory response of an inflammatory nature probably secondary to one or more environmental insults of unknown nature."

Preliminary evidence of mitochondrial dysfunction associated with post-infective fatigue after acute infection with Epstein Barr Virus. Suzanne D Vernon, Toni Whistler, Barbara Cameron, Ian B Hickie, William C Reeves and Andrew Lloyd; Centers for Disease Control and Prevention, USA, University of New South Wales, Sydney  "A small proportion of people that develop infectious mononucleosis following EBV infection remain sick with chronic fatigue syndrome. Gene expression profiling was used to determine whether failure to recover reflected altered gene expression. The subjects who did not recover from infectious mononucleosis had altered gene expression response during the early phase of EBV infection compared to those who subsequently recovered uneventfully. There were several differentially expressed genes identified including gene involved in the immune response, apoptosis and the cell cycle. A comparison of gene expression profiles early and late following EBV infection revealed that those who did not recover had differentially expressed genes implicating mitochondrial perturbations with fatty acid metabolism, mitochondrial function and apoptosis pathways."

2005

Gene expression in peripheral blood mononuclear cells from patients with chronic fatigue syndrome.  N Kaushik, D Fear, S C M Richards, C R McDermott, E F Nuwaysir, P Kellam, T J Harrison, R J Wilkinson, D A J Tyrrell, S T Holgate and J R Kerr (UK) "We report the differential expression of 16 human genes in patients with CFS compared with normal controls. The involvement of genes from several disparate pathways suggests a complex pathogenesis involving T cell activation and abnormalities of neuronal and mitochondrial function, and suggests possible molecular bases for the recognised contributions of organophosphate exposure and virus infection, respectively."
(Absract only)

Whole-Genome (33,000 genes) Affymetrix DNA Microarray Analysis of Gene Expression in Chronic Fatigue Syndrome. (Abstract) Gow JW, Cannon C, Behan WMH, Herzyk P, Keir S, Riboldi-Tunnicliffe G, Behan PO & Chaudhuri A.; University of Glasgow Department of Neurology, Southern General Hospital, Scotland, UK "Findings: Iterative group analysis of the differentially expressed genes indicate that in CFS: (a) there is a shift of immune response with preferential antigen presentation to MHC class II receptors, downregulation of the MHC class I system with a consequential suppression of Natural Killer cells and fÑT-cell receptors, (b) increased cell membrane prostaglandin-endoperoxide synthase activity with downstream changes in oxygen transport and (c) macrophage activation with phagocytosis of apoptotic neutrophils.  Western blot/ELISA assays of key biomarker genes can be used to support the clinical diagnosis and identify candidates for treatment trials in CFS."

2003

Identification of novel expressed sequences, up-regulated in the leucocytes of chronic fatigue syndrome patients.  R. Powell J. Ren, G. Lewith, W. Barclay, S. Holgate and J. Almond; Southampton University Hospital, Southhampton, UK, Reading University, Reading, UK, and Aventis, Strasbourg, France "Twelve short expressed sequence tags have been identified that were over-expressed in lymphocytes from CFS patients.  Although differential display was the leading technology at the start of this project, this is no longer the case. Gene chip technologies offer a more thorough way of analysing changes in gene expression and the most natural progression of this study would be the application of these techniques to CFS.  This preliminary study shows that such an approach is well justified and predicts that a more detailed characterization would identify more candidate genes for this disease."

 

   
 

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