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An unbiased metagenomic search for infectious agents using monozygotic twins discordant for chronic fatigue |
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| Authors: | Patrick F Sullivan Tobias Allander Fredrik Lysholm Shan Goh Bengt Persson Andreas Jacks Birgitta Eveng?rd Nancy L Pedersen and Bj?rn Andersson |
| Institution: | (1) Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA;(2) Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden;(3) Laboratory for Clinical Microbiology, Department of Microbiology, Tumor and Cell Biology, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden;(4) Department of Cell and Molecular Biology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden;(5) IFM Bioinformatics, Link?ping University, Link?ping, Sweden;(6) Department of Clinical Microbiology, University of Ume?, Ume?, Sweden |
| Abstract: | BackgroundChronic 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. |
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