Multiple sclerosis susceptibility may be associated with the coding rs20541 (R130Q) IL-13 gene polymorphism in the Polish population.

Some of the multiple autoimmune diseases have been already associated with IL-13 single-nucleotide polymorphisms (SNPs). However, there are only few studies regarding multiple sclerosis (MS) risk and IL-13 rs20541 (R130Q) polymorphism, and their results are conflicting. Therefore, the aim of our study was to investigate the frequency of the IL-13 gene rs20541 (R130Q) polymorphism in MS participants and its association with MS clinical subsets in the Polish population. We conducted a case‒control study including 94 relapsing remitting MS patients and 160 healthy volunteers. We genotyped the rs20541 polymorphism in the IL-13 gene and analysed the genotype frequency, age of MS onset and clinical condition (EDSS values) of the MS participants. Fisher's exact test was used for statistical analysis, and the log-linear model was applied to test for associations. Allele A, as well as the AA and AG genotypes, was observed to be significantly more common in the MS subjects. The OR (odds ratio) for the A compared to the G allele was 1.71 (1.14-2.56), whereas OR 2.33 (0.86-6.26) and OR 1.92 (1.11-3.30) were obtained for the AA and AG genotypes, respectively. We did not identify any significant associations of the studied IL-13 SNP with the investigated clinical parameters of the MS participants. Our results suggest that the rs20541 polymorphism in the IL-13 gene may play an important role in MS predisposition but not in investigated clinical parameters in MS subjects of the Polish population.

Quantitative parameters of gait imbalance in multiple sclerosis patients.

PURPOSE: The purpose is to identify objective quantitative parameters for a more accurate evaluation of gait imbalance and relate it to Body Mass Index and age. METHODS: 25 multiple sclerosis (MS) and 30 healthy people (CG) aged between 22 and 66 years old (50.4 ± 9.5) were examined in static and dynamic tasks. The demographic data were as follows: body mass (72.4 ± 18.4 kg in CG vs. 66.8 ± 11.5 kg in MS); body height (1.78 ± 0.15 m in CG vs. 1.70 ± 0.11 m in MS); BMI (24.7 ± 4.5 kg/m2 in CG vs. 23.5 ± 3.0 kg/m2 in MS). First, all individuals remained static for baropodometric, pulse and saturation evaluation. Later on, a 6-minute walk and timed up and go tests were performed and additionally included quantitative measurements by barometry and pulse oximeter. RESULTS: The dynamic condition revealed meaningful differences in the foot surface and hindfoot loading, in addition to foot max. loading between study groups. TUG disclosed significantly different results between groups in time and the number of steps. For MS in statics, the moderate positive correlations between BMI and the right forefoot and right hindfoot, and in MS statics, the correlation of the age vs. maximal left foot loading, forefoot loading and hindfoot loading was observed. In the dynamic, the age and plantar angle of the foot had weak relation. CONCLUSIONS: Quantitative parameters defining balance deviations of MS are related to BMI and age in statics and dynamics, therefore should be taken into account during MS imbalance assessment.