Autor: |
Mangalathu S. Rajeevan, Janna Murray, Lisa Oakley, Jin-Mann S. Lin, Elizabeth R. Unger |
Jazyk: |
angličtina |
Rok vydání: |
2018 |
Předmět: |
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Zdroj: |
Journal of Translational Medicine, Vol 16, Iss 1, Pp 1-11 (2018) |
Druh dokumentu: |
article |
ISSN: |
1479-5876 |
DOI: |
10.1186/s12967-018-1414-x |
Popis: |
Abstract Background Chronic fatigue syndrome (CFS), also known as myalgic encephalomyelitis (ME), is a severely debilitating condition of unknown etiology. The symptoms and risk factors of ME/CFS share features of accelerated aging implicated in several diseases. Using telomere length as a marker, this study was performed to test the hypothesis that ME/CFS is associated with accelerated aging. Methods Participant (n = 639) data came from the follow-up time point of the Georgia CFS surveillance study. Using the 1994 CFS Research Case Definition with questionnaire-based subscale thresholds for fatigue, function, and symptoms, participants were classified into four illness groups: CFS if all criteria were met (n = 64), CFS-X if CFS with exclusionary conditions (n = 77), ISF (insufficient symptoms/fatigue) if only some criteria were met regardless of exclusionary conditions (n = 302), and NF (non-fatigued) if no criteria and no exclusionary conditions (n = 196). Relative telomere length (T/S ratio) was measured using DNA from whole blood and real-time PCR. General linear models were used to estimate the association of illness groups or T/S ratio with demographics, biological measures and covariates with significance set at p |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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