An unbiased metagenomic search for infectious agents using monozygotic twins discordant for chronic fatigue

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  • Sullivan, Patrick
    • Affiliation: School of Medicine, Department of Genetics
    • Other Affiliation: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
  • Allander, Tobias
    • Other Affiliation: Laboratory for Clinical Microbiology, Department of Microbiology, Tumor and Cell Biology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden
  • Lysholm, Fredrik
    • Other Affiliation: Department of Cell and Molecular Biology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden; IFM Bioinformatics, Linköping University Linköping, Sweden
  • Goh, Shan
    • Other Affiliation: Laboratory for Clinical Microbiology, Department of Microbiology, Tumor and Cell Biology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden
  • Persson, Bengt
    • Other Affiliation: Department of Cell and Molecular Biology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden; IFM Bioinformatics, Linköping University Linköping, Sweden
  • Jacks, Andreas
    • Other Affiliation: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
  • Evengård, Birgitta
    • Other Affiliation: Department of Clinical Microbiology, University of Umeå, Umeå, Sweden
  • Pedersen, Nancy L
    • Other Affiliation: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
  • Andersson, Björn
    • Other Affiliation: Department of Cell and Molecular Biology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden
Abstract
  • Abstract Background Chronic fatigue syndrome is an idiopathic syndrome widely suspected of having an infectious or immune etiology. We applied an unbiased metagenomic approach to try to identify known or novel infectious agents in the serum of 45 cases with chronic fatigue syndrome or idiopathic chronic fatigue. Controls were the unaffected monozygotic co-twins of cases, and serum samples were obtained at the same place and time. Results No novel DNA or RNA viral signatures were confidently identified. Four affected twins and no unaffected twins evidenced viremia with GB virus C (8.9% vs. 0%, p = 0.019), and one affected twin had previously undetected hepatitis C viremia. An excess of GB virus C viremia in cases with chronic fatigue requires confirmation. Conclusions Current, impairing chronic fatigue was not robustly associated with viremia detectable in serum.
Date of publication
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Resource type
  • Article
Rights statement
  • In Copyright
Rights holder
  • Patrick F Sullivan et al.; licensee BioMed Central Ltd.
Journal title
  • BMC Microbiology
Journal volume
  • 11
Journal issue
  • 1
Page start
  • 2
Language
  • English
Is the article or chapter peer-reviewed?
  • Yes
ISSN
  • 1471-2180
Bibliographic citation
  • BMC Microbiology. 2011 Jan 02;11(1):2
Publisher
  • BioMed Central Ltd
Access right
  • Open Access
Date uploaded
  • August 23, 2012

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