| Literature DB >> 26272340 |
Madlen Löbel1, Agnes Anna Mooslechner2, Sandra Bauer3, Sabrina Günther4, Anne Letsch5, Leif G Hanitsch6, Patricia Grabowski7, Christian Meisel8,9, Hans-Dieter Volk10,11, Carmen Scheibenbogen12,13.
Abstract
BACKGROUND: Chronic fatigue syndrome (CFS) is considered as a neuroimmunological disease but the etiology and pathophysiology is poorly understood. Patients suffer from sustained exhaustion, cognitive impairment and an increased sensitivity to pain and sensory stimuli. A subset of patients has frequent respiratory tract infections (RRTI). Dysregulation of the sympathetic nervous system and an association with genetic variations in the catechol-O-methyltransferase (COMT) and glucocorticoid receptor genes influencing sympathetic and glucocorticoid metabolism were reported in CFS. Here, we analyzed the prevalence of SNPs of COMT and glucocorticoid receptor-associated genes in CFS patients and correlated them to immunoglobulin levels and susceptibility to RRTI.Entities:
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Year: 2015 PMID: 26272340 PMCID: PMC4536662 DOI: 10.1186/s12967-015-0628-4
Source DB: PubMed Journal: J Transl Med ISSN: 1479-5876 Impact factor: 5.531
Characteristics of CFS and control group
| Healthy (n = 76) | CFS (n = 74) | |
|---|---|---|
| Age (years) | 40 ± 17 | 40 ± 9 |
| m/f (%) | 43/57 | 37/63 |
| Bell score | na | 30 ± 10 |
na not applicable.
Association of SNPs with CFS
| SNP | n | Minor −/− | Hetero −/+ | Major +/+ | Genotypic frequencies (%) | Allelic frequencies (%) | p value | |||
|---|---|---|---|---|---|---|---|---|---|---|
| CRHR1 rs12944712 |
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| Healthy | 76 | 26 | 38 | 12 | 0.34 | 0.50 | 0.16 | 0.59 | 0.41 | 0.6189 |
| CFS | 74 | 27 | 34 | 13 | 0.36 | 0.46 | 0.18 | 0.59 | 0.41 | |
| COMT rs4680 |
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| Healthy | 76 | 18 | 45 | 13 | 0.24 | 0.59 | 0.17 | 0.53 | 0.47 | 0.7439 |
| CFS | 74 | 22 | 37 | 15 | 0.30 | 0.50 | 0.20 | 0.55 | 0.45 | |
| FKBP5 rs1360780 |
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| Healthy | 76 | 8 | 29 | 39 | 0.11 | 0.38 | 0.51 | 0.30 | 0.70 | 0.6396 |
| CFS | 74 | 5 | 33 | 36 | 0.07 | 0.45 | 0.49 | 0.29 | 0.71 | |
Allelic discrimination PCR was performed for 74 CFS patients and 76 healthy controls.
Fig. 1Cortisol levels in CFS patients. Serum of 55 CFS patients was analyzed for cortisol levels. Patients were grouped in the respective haplotypes of the SNPs for a rs4680 for COMT, b rs1360780 for FKBP5, and c rs12944712 for CRHR1. Statistic analysis was performed with the Kruskal–Wallis test followed by post hoc testing via two-tailed Mann–Whitney U test with Bonferroni adjustment for multiple testing with ***p < 0.00033 (0.001/3 comparisons) as significant, ns not significant.
Fig. 2IgG3 and IgG4 levels in CFS patients with COMT, FKBP5, and CRHR1 SNP. a Levels of immunoglobulin subclasses IgG3 and IgG4 were determined in serum of CFS patients and grouped according to their genotype for rs4680 for COMT, b rs1360780 for FKBP5, and c rs12944712 for CRHR1, respectively. Statistic analysis was performed with the Kruskal–Wallis test followed by post hoc testing via two-tailed Mann–Whitney U test with Bonferroni adjustment for multiple testing with *p < 0.017 (0,05/3 comparisons) as significant.
Fig. 3Correlation of IgE levels with COMT SNP rs4680. Serum of 54 CFS patients was analyzed for IgE. Patients were group in either Met/Met, Met/Val, or the wild type variant Val/Val. Enhanced IgE levels are defined >100 U/ml (dashed line). Statistic analysis was performed with two-tailed Chi-Square/Fisher’s exact test with *p < 0.05 between Met/Met or Met/Val and the variant Val/Val.
Characteristics of CFS and non-CFS patients with RRTI
| CFS w/o RRTI (n = 40) | CFS with RRTI (n = 34) | non-CFS RRTI (n = 68) | |
|---|---|---|---|
| Age (years) | 39 ± 10 | 42 ± 10 | 38 ± 13 |
| m/f | 37/63 % | 35/65 % | 29/71 % |
| Bell score | 40 ± 10 | 30 ± 10 | n.a. |
| RRTI (n) | 34 (46 %) | 68 (100 %) | |
| Lower RRTI (n) | 5 (15 %) | 30 (44 %) | |
| Pneumonia | 9 % | 19 % | |
| Bronchitis | 15 % | 31 % | |
| Upper RRTI (n) | 34 (100 %) | 54 (79 %) | |
| Sinusitis | 79 % | 57 % | |
| Pharyngitis | 15 % | 16 % | |
| Tonsilitis | 6 % | 10 % |
na not applicable.
Fig. 4Distribution of variants for COMT rs4680 in 34 CFS patients with RRTI and 40 CFS patients without RRTI. As control 68 non-CFS patients with RRTI were analysed. Statistic analysis was performed with two-tailed Chi-Square/Fisher’s exact test with *p < 0.05 between the variant Met/Met and Met/Val, and the major variant Val/Val.
Fig. 5IgG3 and IgG4 levels in 68 non-CFS patients with RRTI with COMT and FKBP5 SNP. Statistic analysis was performed with the Kruskal–Wallis test followed by post hoc testing via two-tailed Mann–Whitney U test with Bonferroni adjustment for multiple testing.