Chronic Fatigue Syndrome Research - Myalgic Encephalomyelitis (ME), Diagnosis, Gradual and Sudden Onset

Chronic Fatigue Syndrome Research Today is a free monthly online journal that collates and summarizes the latest research about Chronic Fatigue Syndrome, including details on myalgic encephalomyelitis (me), diagnosis, gradual and sudden onset.


Chronic Fatigue Syndrome Research Today

Home

View Latest Issue

Information About Chronic Fatigue Syndrome

Books on Chronic Fatigue Syndrome

Advertising in Research Today

View Other Research Today Publications



Gene expression profile of empirically delineated classes of unexplained chronic fatigue.

Carmel L, Efroni S, White PD, Aslakson E, Vollmer-Conna U, Rajeevan MS

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.

OBJECTIVES: To identify the underlying gene expression profiles of unexplained chronic fatigue subjects classified into five or six class solutions by principal component (PCA) and latent class analyses (LCA). METHODS: Microarray expression data were available for 15,315 genes and 111 female subjects enrolled from a population-based study on chronic fatigue syndrome. Algorithms were developed to assign gene scores and threshold values that signified the contribution of each gene to discriminate the multiclasses in each LCA solution. Unsupervised dimensionality reduction was first used to remove noise or otherwise uninformative gene combinations, followed by supervised dimensionality reduction to isolate gene combinations that best separate the classes. RESULTS: The authors' gene score and threshold algorithms identified 32 and 26 genes capable of discriminating the five and six multiclass solutions, respectively. Pair-wise comparisons suggested that some genes (zinc finger protein 350 [ZNF350], solute carrier family 1, member 6 [SLC1A6], F-box protein 7 [FBX07] and vacuole 14 protein homolog [VAC14]) distinguished most classes of fatigued subjects from healthy subjects, whereas others (patched homolog 2 [PTCH2] and T-cell leukemia/lymphoma [TCL1A]) differentiated specific fatigue classes. CONCLUSION: A computational approach was developed for general use to identify discriminatory genes in any multiclass problem. Using this approach, differences in gene expression were found to discriminate some classes of unexplained chronic fatigue, particularly one termed interoception.

Published 20 April 2006 in Pharmacogenomics, 7(3): 375-86.
Full-text of this article is available online (may require subscription).

Place a permanent text-link or advertisement here for just US$15.

© 2005-2008 Chronic Fatigue Syndrome Research Today. All Rights Reserved.



Chronic Fatigue Syndrome Research Today Archive:

Volume 1 (2005)
  Issue 1 (November)
  Issue 2 (December)

Volume 2 (2006)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)

Volume 3 (2007)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)

Volume 4 (2008)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)



Chronic Fatigue Syndrome Books

The Brain Wash: A Powerful, All-Natural Program to Protect Your Brain Against Alzheimer's, Chronic Fatigue Syndrome, Depression, Parkinson's, and Other Diseases

The Brain Wash: A Powerful, All-Natural Program to Protect Your Brain Against Alzheimer's, Chronic Fatigue Syndrome, Depression, Parkinson's, and Other Diseases