Document Detail


Neuroendocrine and immune network re-modeling in chronic fatigue syndrome: an exploratory analysis.
MedLine Citation:
PMID:  18775774     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This work investigates the significance of changes in association patterns linking indicators of neuroendocrine and immune activity in patients with chronic fatigue syndrome (CFS). Gene sets preferentially expressed in specific immune cell isolates were integrated with neuroendocrine data from a large population-based study. Co-expression patterns linking immune cell activity with hypothalamic-pituitary-adrenal (HPA), thyroidal (HPT) and gonadal (HPG) axis status were computed using mutual information criteria. Networks in control and CFS subjects were compared globally in terms of a weighted graph edit distance. Local re-modeling of node connectivity was quantified by node degree and eigenvector centrality measures. Results indicate statistically significant differences between CFS and control networks determined mainly by re-modeling around pituitary and thyroid nodes as well as an emergent immune sub-network. Findings align with known mechanisms of chronic inflammation and support possible immune-mediated loss of thyroid function in CFS exacerbated by blunted HPA axis responsiveness.
Authors:
Jim Fuite; Suzanne D Vernon; Gordon Broderick
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-10-01
Journal Detail:
Title:  Genomics     Volume:  92     ISSN:  1089-8646     ISO Abbreviation:  Genomics     Publication Date:  2008 Dec 
Date Detail:
Created Date:  2008-11-18     Completed Date:  2008-12-29     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8800135     Medline TA:  Genomics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  393-9     Citation Subset:  IM    
Affiliation:
Department of Medicine, Division of Pulmonary Faculty of Medicine and Dentistry, University of Alberta, 2E4.41 Walter Mackenzie Health Sciences Centre, 8440-112 Street, Edmonton, AB, Canada.
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MeSH Terms
Descriptor/Qualifier:
Biological Markers / analysis
Databases, Genetic
Fatigue Syndrome, Chronic / genetics,  immunology*,  metabolism
Female
Gene Expression
Humans
Hypothalamo-Hypophyseal System / metabolism*
Immune System / metabolism*
Mathematical Computing
Metabolic Networks and Pathways
Models, Biological*
Pituitary-Adrenal System / metabolism*
Statistics as Topic
Thyroid Gland / metabolism*
Chemical
Reg. No./Substance:
0/Biological Markers

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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