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A chronic fatigue syndrome – related proteome in human cerebrospinal fluid

BACKGROUND: Chronic Fatigue Syndrome (CFS), Persian Gulf War Illness (PGI), and fibromyalgia are overlapping symptom complexes without objective markers or known pathophysiology. Neurological dysfunction is common. We assessed cerebrospinal fluid to find proteins that were differentially expressed i...

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Autores principales: Baraniuk, James N, Casado, Begona, Maibach, Hilda, Clauw, Daniel J, Pannell, Lewis K, Hess S, Sonja
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1326206/
https://www.ncbi.nlm.nih.gov/pubmed/16321154
http://dx.doi.org/10.1186/1471-2377-5-22
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author Baraniuk, James N
Casado, Begona
Maibach, Hilda
Clauw, Daniel J
Pannell, Lewis K
Hess S, Sonja
author_facet Baraniuk, James N
Casado, Begona
Maibach, Hilda
Clauw, Daniel J
Pannell, Lewis K
Hess S, Sonja
author_sort Baraniuk, James N
collection PubMed
description BACKGROUND: Chronic Fatigue Syndrome (CFS), Persian Gulf War Illness (PGI), and fibromyalgia are overlapping symptom complexes without objective markers or known pathophysiology. Neurological dysfunction is common. We assessed cerebrospinal fluid to find proteins that were differentially expressed in this CFS-spectrum of illnesses compared to control subjects. METHODS: Cerebrospinal fluid specimens from 10 CFS, 10 PGI, and 10 control subjects (50 μl/subject) were pooled into one sample per group (cohort 1). Cohort 2 of 12 control and 9 CFS subjects had their fluids (200 μl/subject) assessed individually. After trypsin digestion, peptides were analyzed by capillary chromatography, quadrupole-time-of-flight mass spectrometry, peptide sequencing, bioinformatic protein identification, and statistical analysis. RESULTS: Pooled CFS and PGI samples shared 20 proteins that were not detectable in the pooled control sample (cohort 1 CFS-related proteome). Multilogistic regression analysis (GLM) of cohort 2 detected 10 proteins that were shared by CFS individuals and the cohort 1 CFS-related proteome, but were not detected in control samples. Detection of ≥1 of a select set of 5 CFS-related proteins predicted CFS status with 80% concordance (logistic model). The proteins were α-1-macroglobulin, amyloid precursor-like protein 1, keratin 16, orosomucoid 2 and pigment epithelium-derived factor. Overall, 62 of 115 proteins were newly described. CONCLUSION: This pilot study detected an identical set of central nervous system, innate immune and amyloidogenic proteins in cerebrospinal fluids from two independent cohorts of subjects with overlapping CFS, PGI and fibromyalgia. Although syndrome names and definitions were different, the proteome and presumed pathological mechanism(s) may be shared.
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spelling pubmed-13262062006-01-12 A chronic fatigue syndrome – related proteome in human cerebrospinal fluid Baraniuk, James N Casado, Begona Maibach, Hilda Clauw, Daniel J Pannell, Lewis K Hess S, Sonja BMC Neurol Research Article BACKGROUND: Chronic Fatigue Syndrome (CFS), Persian Gulf War Illness (PGI), and fibromyalgia are overlapping symptom complexes without objective markers or known pathophysiology. Neurological dysfunction is common. We assessed cerebrospinal fluid to find proteins that were differentially expressed in this CFS-spectrum of illnesses compared to control subjects. METHODS: Cerebrospinal fluid specimens from 10 CFS, 10 PGI, and 10 control subjects (50 μl/subject) were pooled into one sample per group (cohort 1). Cohort 2 of 12 control and 9 CFS subjects had their fluids (200 μl/subject) assessed individually. After trypsin digestion, peptides were analyzed by capillary chromatography, quadrupole-time-of-flight mass spectrometry, peptide sequencing, bioinformatic protein identification, and statistical analysis. RESULTS: Pooled CFS and PGI samples shared 20 proteins that were not detectable in the pooled control sample (cohort 1 CFS-related proteome). Multilogistic regression analysis (GLM) of cohort 2 detected 10 proteins that were shared by CFS individuals and the cohort 1 CFS-related proteome, but were not detected in control samples. Detection of ≥1 of a select set of 5 CFS-related proteins predicted CFS status with 80% concordance (logistic model). The proteins were α-1-macroglobulin, amyloid precursor-like protein 1, keratin 16, orosomucoid 2 and pigment epithelium-derived factor. Overall, 62 of 115 proteins were newly described. CONCLUSION: This pilot study detected an identical set of central nervous system, innate immune and amyloidogenic proteins in cerebrospinal fluids from two independent cohorts of subjects with overlapping CFS, PGI and fibromyalgia. Although syndrome names and definitions were different, the proteome and presumed pathological mechanism(s) may be shared. BioMed Central 2005-12-01 /pmc/articles/PMC1326206/ /pubmed/16321154 http://dx.doi.org/10.1186/1471-2377-5-22 Text en Copyright © 2005 Baraniuk et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Baraniuk, James N
Casado, Begona
Maibach, Hilda
Clauw, Daniel J
Pannell, Lewis K
Hess S, Sonja
A chronic fatigue syndrome – related proteome in human cerebrospinal fluid
title A chronic fatigue syndrome – related proteome in human cerebrospinal fluid
title_full A chronic fatigue syndrome – related proteome in human cerebrospinal fluid
title_fullStr A chronic fatigue syndrome – related proteome in human cerebrospinal fluid
title_full_unstemmed A chronic fatigue syndrome – related proteome in human cerebrospinal fluid
title_short A chronic fatigue syndrome – related proteome in human cerebrospinal fluid
title_sort chronic fatigue syndrome – related proteome in human cerebrospinal fluid
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1326206/
https://www.ncbi.nlm.nih.gov/pubmed/16321154
http://dx.doi.org/10.1186/1471-2377-5-22
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