Lack of association between TNFA and TNFB polymorphisms and the risk of multiple sclerosis: a meta-analysis from 37 studies

BACKGROUND

Epidemiological studies about the association between genetic polymorphisms in TNFA, TNFB, and IFNG and the risk for multiple sclerosis (MS) have been performed extensively. However, the results are inconclusive. The purpose of this meta-analysis was to evaluate the contribution of the polymorphisms in TNFA, TNFB, and IFNG to the susceptibility of MS.

METHODS

The PubMed, Web of Science, and China National Knowledge Infrastructure databases were searched to identify relevant studies up to October 2021. A meta-analysis was performed and pooled odds ratios (OR) and confidence intervals (CI) were computed using fixed or random effects models.

RESULTS

A marginally significant association of the IFNG +874AT genotype with high risk of MS was observed in a heterozygous comparison (OR = 1.51, 95% CI, 1.02-2.23). However, no significant association between the TNFA (-308G/A, -238G/A, and -376G/A) and TNFB +252A/G polymorphisms and MS risk was observed both in overall analysis and in subgroup analysis.

CONCLUSION

This meta-analysis provides evidence that the TNFA (-308G/A, -238G/A, and -376G/A) and TNFB +252A/G polymorphisms were not risk factors for the occurrence of MS. Further studies with larger samples are necessary to reach the concise results about the contribution of other polymorphisms to the risk of MS.

Comparative Analysis of Aggregation of Thermus thermophilus Ribosomal Protein bS1 and Its Stable Fragment

Functionally important multidomain bacterial protein bS1 is the largest ribosomal protein of subunit 30S. It interacts with both mRNA and proteins and is prone to aggregation, although this process has not been studied in detail. Here, we obtained bacterial strains overproducing ribosomal bS1 protein from Thermus thermophilus and its stable fragment bS1(49) and purified these proteins. Using fluorescence spectroscopy, dynamic light scattering, and high-performance liquid chromatography combined with mass spectrometric analysis of products of protein limited proteolysis, we demonstrated that disordered regions at the N- and C-termini of bS1 can play a key role in the aggregation of this protein. The truncated fragment bS1(49) was less prone to aggregation compared to the full-size bS1. The revealed properties of the studied proteins can be used to obtain protein crystals for elucidating the structure of the bS1 stable fragment.

Association between IL-6-174G/C polymorphism and risk of multiple sclerosis: a meta-analysis

OBJECTIVE

Interleukin-6 (IL-6) is a pleiotropic cytokine and important mediator of many inflammatory processes, which might affect susceptibility to multiple sclerosis (MS). The aim of this study was to assess the effect of IL-6-174G/C polymorphism on the risk of MS using a meta-analysis.

MATERIALS AND METHODS

The Pubmed, ISI Web of Science, Wanfang, VIP, and China National Knowledge Infrastructure databases were screened and six studies were included in the meta-analysis. Pooled odds ratios (ORs) with corresponding 95% confidence intervals (CI) were calculated to evaluate the association between the IL-6-174G/C polymorphism and risk of MS.

RESULTS

No significant association between the IL-6-174G/C polymorphism and risk of MS was observed in overall analyses. With stratification according to ethnicity, we found that carriers with the IL-6-174CC genotype had a 1.87-fold increased risk for the development of MS in Asians (recessive model: OR=1.87, 95% CI, 1.08-3.24), but not in Caucasians.

CONCLUSION

This meta-analysis provides evidence that the IL-6-174G/C polymorphism may be a risk factor for the development of MS in Asians. Further association studies with a larger sample size are required to confirm the result in different populations.

Allelic combinations of immune-response genes associated with glatiramer acetate treatment response in Russian multiple sclerosis patients

BACKGROUND

Glatiramer acetate (GA) is widely used as a first-line disease-modifying treatment for multiple sclerosis (MS). However, a significant proportion of MS patient appears to experience modest benefit from GA-treatment. Genetic variants affecting the clinical response to GA are believed to be relevant as biomarkers of GA-treatment efficiency.

PATIENTS & METHODS

Nine polymorphisms in candidate genes were analyzed as possible determinants of GA response in 285 Russian MS patients. Special attention was given to identification of response-associated allelic combinations by means of the APSampler algorithm.

RESULTS

No significant associations were found for individual polymorphisms. Alleles DRB1*15, TGFB1*T, CCR5*d and IFNAR1*G were the components of the combinations, of which carriage was significantly higher in nonresponders than in responders. Carriers of the most significant combinations: DRB1*15 + TGFB1*T + CCR5*d + IFNAR1*G and DRB1*15 + TGFB1*T + CCR5*d (permutation p-values: 0.0056 and 0.013, respectively) had a 14 to 15-times increased risk of ineffective response to GA therapy.

DISCUSSION

The results suggest that the influence of immune-response genes on GA-induced response has a polygenic nature. The data are interpreted as evidence of additive and epistatic influences of the genes on GA efficiency for MS treatment.