Byrnes Andrea, Jacks Andreas, Dahlman-Wright Karin, Evengard Birgitta, Wright Fred A, Pedersen Nancy L, Sullivan Patrick F
Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
PLoS One. 2009 Jun 5;4(6):e5805. doi: 10.1371/journal.pone.0005805.
Chronic fatiguing illness remains a poorly understood syndrome of unknown pathogenesis. We attempted to identify biomarkers for chronic fatiguing illness using microarrays to query the transcriptome in peripheral blood leukocytes.
Cases were 44 individuals who were clinically evaluated and found to meet standard international criteria for chronic fatigue syndrome or idiopathic chronic fatigue, and controls were their monozygotic co-twins who were clinically evaluated and never had even one month of impairing fatigue. Biological sampling conditions were standardized and RNA stabilizing media were used. These methodological features provide rigorous control for bias resulting from case-control mismatched ancestry and experimental error. Individual gene expression profiles were assessed using Affymetrix Human Genome U133 Plus 2.0 arrays.
There were no significant differences in gene expression for any transcript.
Contrary to our expectations, we were unable to identify a biomarker for chronic fatiguing illness in the transcriptome of peripheral blood leukocytes suggesting that positive findings in prior studies may have resulted from experimental bias.
慢性疲劳疾病仍然是一种发病机制不明、了解甚少的综合征。我们试图利用微阵列查询外周血白细胞转录组，以识别慢性疲劳疾病的生物标志物。
病例为44名经临床评估且符合慢性疲劳综合征或特发性慢性疲劳国际标准的个体，对照为其经临床评估且从未有过哪怕一个月疲劳损伤的同卵双胞胎。生物采样条件标准化，并使用了RNA稳定介质。这些方法学特征为病例对照祖先不匹配和实验误差导致的偏差提供了严格控制。使用Affymetrix人类基因组U133 Plus 2.0阵列评估个体基因表达谱。
任何转录本的基因表达均无显著差异。
与我们的预期相反，我们未能在外周血白细胞转录组中识别出慢性疲劳疾病的生物标志物，这表明先前研究中的阳性结果可能是由实验偏差导致的。
