Is There a Link Between Obstructive Sleep Apnea Syndrome and Fibromyalgia Syndrome?

OBJECTIVES

Fibromyalgia syndrome (FMS) is characterized by complaints of chronic musculoskeletal pain, fatigue, and difficulty in falling asleep. Obstructive sleep apnea syndrome (OSAS) is associated with symptoms, such as morning fatigueness and unrefreshing sleep. We aimed to investigate the presence of OSAS and objectively demonstrate changes in sleep pattern in patients with FMS.

MATERIAL AND METHODS

Polysomnographic investigations were performed on 24 patients with FMS. Patients were divided into two groups: patients with and without OSAS (Group 1 and Group 2, respectively). A total of 40 patients without FMS who presented to the sleep disorders polyclinic with an initial diagnosis of OSAS were included in Group 3. Based on their apnea hypopnea index (AHI), OSAS in the patients were categorized as mild (AHI, 5-15), moderate (30), or severe (>30).

RESULTS

OSAS was detected in 50% of patients with FMS. The most prominent clinical findings were morning fatigue and sleep disorder, which were similar in three groups. In polysomnography (PSG) evaluation, patients with FMS had mild (33%), moderate (25%), and severe (42%) OSAS. In correlation analyses, negative correlations were observed between fibromyalgia impact questionnaire (FIQ) and mean oxygen saturation, visual analogue scale (VAS), and minimum oxygen saturation, whereas a positive correlation was found between FIQ and desaturation times in patients with FMS.

CONCLUSION

Detection of OSAS in 50% of the patients with FMS, and similar rates of complaints of sleep disorder and morning fatigue of OSAS and FMS cases are important results. Detection of correlation between the severity of hypoxemia and FIQ and VAS scores are significant because it signifies the contribution of increased tissue hypoxemia to the deterioration of clinical status. Diagnosis and treatment of OSAS associated with FMS are important because of their favorable contributions to the improvement of the clinical picture of FMS.

Evaluation of MIF -173 G/C Polymorphism in Turkish Patients with Ankylosing Spondylitis

BACKGROUND

Ankylosing spondylitis (AS) is a chronic inflammatory disease mainly affecting the spine and sacroiliac joints. Macrophage migration inhibitory (MIF) factor is a regulatory cytokine that inhibits random immune cell migration. MIF gene promoter polymorphisms play a role in the progression of several inflammatory disorders.

AIMS

To investigate the relationship between the MIF gene -173 G/C single-nucleotide polymorphism (SNP) and AS.

STUDY DESIGN

Cross-sectional study.

METHODS

In this study, a total of 161 AS and 194 normal controls were recruited. The MIF gene -173 G/C SNP was analyzed by polymerase chain reaction using the restriction fragment length polymorphism method.

RESULTS

There was no significant difference between groups in terms of genotype distribution (p>0.05). When wild-type G/G and G/C+C/C genotypes are compared in terms of clinical characteristics, there is a significant difference between the average age and the duration of disease in AS patients (p<0.05).

CONCLUSION

No significant relationship between AS disease and MIF -173 G/C polymorphism was found. MIF -173 G/C polymorphism (C allele) may affect the time of onset and the duration of disease in AS patients.

Associations of rs4810485 and rs1883832 polymorphisms of CD40 gene with susceptibility and clinical findings of Behçet's disease

There are evidences that besides geographic tendency, interactions between genetic and environmental factors play an essential role in the pathogenesis of Behçet's disease (BD). In this study, we have evaluated the associations between rs4810485 and rs1883832 single nucleotide polymorphism (SNP)s of CD40 gene with the susceptibility and clinical findings of BD. Two hundred and eighty-five patients with BD and 225 age-matched healthy controls were enrolled in this study. The clinical findings of patients were noted. The distributions of genotypes, alleles, combined genotypes and haplotypes of these two SNPs in BD patients were compared with those in healthy controls. In further evaluation, we evaluated the patients with and without any of clinical findings with regarding to distribution of genotypes and alleles of these two SNPs. There was no significant difference concerning frequencies of genotypes, alleles, combined genotypes and haplotypes of rs4810485 and rs1883832 between patients and controls (p > 0.05 for all). Frequency of GT genotype of CD40 rs4810485 polymorphism was found to be significantly higher in patients with skin lesions (p < 0.05, OR 1.65, 95 % CI 1.02-2.64). Also, we have found significantly higher frequencies of CC genotype and C allele of CD40 rs1883832 polymorphism in patients with genital ulcers (p < 0.05 for both, OR 2.30, 95 % CI 1.07-4.94 and OR 1.78, 95 % CI 1.06-2.97, respectively). However, these significances were disappeared after Bonferroni correction. We suggest that differences in the expression levels of CD40 because of different genotypes of these two SNPs may take part in the development of skin lesions or genital ulcers in patients with BD.

Spatial modelling of rheumatoid arthritis in Turkey by geographic information systems (GIS)

We described the recent spatial distribution of rheumatoid arthritis in Turkey and assessed the role of environmental variables in this distribution. We developed an observed rheumatoid arthritis (RA) incidence grid map by using georeferenced rheumatoid arthritis case data (2011) from the centres of 81 provinces and the kriging method with a spherical variogram model in geographic information systems (GIS). We also modelled rheumatoid arthritis incidence in GIS by using complementary spatial database including the grid map layers of 14 environmental variables of Turkey. We conducted principle component analysis and multiple regression to investigate the relationships among variables and develop a model, respectively. The produced model was run in GIS to obtain a predicted (model) RA map. We tested the reliability of the model map by residual statistics and found the model map dependable. Observed and model incidence maps revealed the geographic distribution of rheumatoid arthritis cases in Turkey. The mean temperature, minimum temperature, maximum temperature, water vapour pressure, elevation, potential evapotranspiration, latitude, distance to seas, sunshine fraction, precipitation, longitude and aspect variables were found to have significant impacts on rheumatoid arthritis. Consequently, the model incidence map established a good background to predict rheumatoid arthritis cases following environmental changes.