首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Neuroendocrine and immune network re-modeling in chronic fatigue syndrome: an exploratory analysis
Authors:Fuite Jim  Vernon Suzanne D  Broderick Gordon
Institution:aDepartment 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;bThe Chronic Fatigue and Immune Dysfunction Syndromes (CFIDS) Association of America, Charlotte, NC, USA
Abstract: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.
Keywords:Endocrine  Chronic fatigue  Co-expression  Networks  Graph theory  Centrality  Connectivity  Immune function  Signaling
本文献已被 ScienceDirect PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号