Literature DB >> 16610949

Polymorphisms in genes regulating the HPA axis associated with empirically delineated classes of unexplained chronic fatigue.

Alicia K Smith1, Peter D White, Eric Aslakson, Ute Vollmer-Conna, Mangalathu S Rajeevan.   

Abstract

Chronic fatigue syndrome (CFS) is characterized by persistent or relapsing fatigue that is not alleviated by rest, causes substantial reduction in activities and is accompanied by a variety of symptoms. Its unknown etiology may reflect that CFS is heterogeneous. Latent class analyses of symptoms and physiological systems were used to delineate subgroups within a population-based sample of fatigued and nonfatigued subjects [1] . This study examined whether genetic differences underlie the individual subgroups of the latent class solution. Polymorphisms in 11 candidate genes related to both hypothalamic-pituitary-adrenal (HPA) axis function and mood-related neurotransmitter systems were evaluated by comparing each of the five ill classes (Class 1, n = 33; Class 3, n = 22; Class 4, n = 22; Class 5, n = 17; Class 6, n = 11) of fatigued subjects with subjects defined as well (Class 2, n = 35). Of the five classes of subjects with unexplained fatigue, three classes were distinguished by gene polymorphsims involved in either HPA axis function or neurotransmitter systems, including proopiomelanocortin (POMC), nuclear receptor subfamily 3, group C, member 1 (NR3C1), monoamine oxidase A (MAOA), monoamine oxidase B (MAOB), and tryptophan hydroxylase 2 (TPH2). These data support the hypothesis that medically unexplained chronic fatigue is heterogeneous and presents preliminary evidence of the genetic mechanisms underlying some of the putative conditions.

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Year:  2006        PMID: 16610949     DOI: 10.2217/14622416.7.3.387

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  21 in total

Review 1.  A systematic review of the association between fatigue and genetic polymorphisms.

Authors:  Tengteng Wang; Jie Yin; Andrew H Miller; Canhua Xiao
Journal:  Brain Behav Immun       Date:  2017-01-12       Impact factor: 7.217

Review 2.  Is chronic fatigue syndrome (CFS/ME) heritable in children, and if so, why does it matter?

Authors:  Esther Crawley; George Davey Smith
Journal:  Arch Dis Child       Date:  2007-09-05       Impact factor: 3.791

3.  Gene expression alterations at baseline and following moderate exercise in patients with Chronic Fatigue Syndrome and Fibromyalgia Syndrome.

Authors:  A R Light; L Bateman; D Jo; R W Hughen; T A Vanhaitsma; A T White; K C Light
Journal:  J Intern Med       Date:  2011-07-13       Impact factor: 8.989

Review 4.  Advances in tryptophan hydroxylase-2 gene expression regulation: new insights into serotonin-stress interaction and clinical implications.

Authors:  Guo-Lin Chen; Gregory M Miller
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2012-03       Impact factor: 3.568

5.  Identification of significant genes in genomics using Bayesian variable selection methods.

Authors:  Eugene Lin; Lung-Cheng Huang
Journal:  Adv Appl Bioinform Chem       Date:  2008-07-01

6.  A gene signature for post-infectious chronic fatigue syndrome.

Authors:  John W Gow; Suzanne Hagan; Pawel Herzyk; Celia Cannon; Peter O Behan; Abhijit Chaudhuri
Journal:  BMC Med Genomics       Date:  2009-06-25       Impact factor: 3.063

7.  5'-Untranslated region of the tryptophan hydroxylase-2 gene harbors an asymmetric bidirectional promoter but not internal ribosome entry site in vitro.

Authors:  Guo-Lin Chen; Gregory M Miller
Journal:  Gene       Date:  2009-01-21       Impact factor: 3.688

8.  Replication of an empirical approach to delineate the heterogeneity of chronic unexplained fatigue.

Authors:  Eric Aslakson; Uté Vollmer-Conna; William C Reeves; Peter D White
Journal:  Popul Health Metr       Date:  2009-10-05

9.  A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data.

Authors:  Lung-Cheng Huang; Sen-Yen Hsu; Eugene Lin
Journal:  J Transl Med       Date:  2009-09-22       Impact factor: 5.531

10.  Genetic variation in the hypothalamic-pituitary-adrenal stress axis influences susceptibility to musculoskeletal pain: results from the EPIFUND study.

Authors:  Kate L Holliday; Barbara I Nicholl; Gary J Macfarlane; Wendy Thomson; Kelly A Davies; John McBeth
Journal:  Ann Rheum Dis       Date:  2009-08-31       Impact factor: 19.103

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