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Low heterozygosity for rs3811050, a 5 prime untranslated region variant of the gene encoding interleukin-38 (IL1F10), is associated with a reduced risk of systemic lupus erythematosus
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Abstract<sec> <title>Background

Interleukin-38 (IL-38), an inflammatory cytokine discovered in recent years, has been implicated in the pathogenesis of systemic lupus erythematosus (SLE). IL-38 is encoded by the IL1F10 (interleukin 1 family member 10) gene. Genetic variants of this gene have been associated with susceptibility to a number of autoimmune and inflammatory diseases, while their association with SLE risk has not been explored. In this case–control study, two novel variants of the 5 prime untranslated region (5′UTR) of the IL1F10 gene, rs3811050 C/T and rs3811051 T/G, were investigated in 120 women with SLE and 120 age-matched control women. The TaqMan allelic discrimination assay was used for genotyping of rs3811050 and rs3811051.

Results

The frequency of the rs3811050 CT genotype was significantly lower in SLE patients compared to controls (30.8 vs. 50.0%; odds ratio = 0.49; 95% confidence interval = 0.28–0.86; corrected probability = 0.045). The rs3811051 genotype frequencies did not show significant differences between patients and controls. Rs3811050 and rs3811051 showed weak linkage disequilibrium (LD) as indicated by the estimated LD coefficient and correlation coefficient values (0.32 and 0.05, respectively), and two-locus haplotype analysis revealed no significant differences between patients and controls. The frequencies of the rs3811050 T allele (38.8 vs. 20.6%; probability = 0.029) and the rs3811051 G allele (56.3 vs. 38.2%; probability = 0.038) were significantly higher in patients with mild/moderate disease activity than in patients with high disease activity, but significance was not maintained after applying Bonferroni correction (corrected probability = 0.058 and 0.076, respectively). Serum IL-38 concentrations (median and interquartile range) were significantly decreased in patients compared with controls (69.5 [64.1–74.8] vs. 73.5 [66.1–82.9] pg/mL; probability = 0.03), but were not influenced by SNP genotypes.

Conclusions

The heterozygous genotype of rs3811050, a 5'UTR variant, of the IL-38 encoding gene, IL1F10, is associated with a reduced risk of SLE among women. Furthermore, the rs3811050 T and rs3811051 G alleles may influence disease activity. In addition, serum IL-38 concentrations were down-regulated in SLE patients but were not affected by the rs3811050 and rs3811051 genotypes.

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Sun Nov 01 2020
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Iop Conference Series: Materials Science And Engineering
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Sun Mar 13 2011
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Publication Date
Tue Feb 12 2019
Journal Name
Iraqi Journal Of Laser
Generation of True Random TTL Signals for Quantum Key-Distribution Systems Based on True Random Binary Sequences
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Publication Date
Thu Dec 01 2022
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Synthesis, Spectral Identification, Antibacterial Evaluationand Theoretical Study of Co, Fe, Rh and Pd Complexes for 2-benzoylthiobenzimidazol
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Test of conductor and semiconductor electrocatalysts in high voltage alkaline electrolyzer as production media for green hydrogen
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Publication Date
Thu Jun 23 2022
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Flow Injection Spectrophotometric Technique for Determining of Genistein in Pure and Supplements Formulations Through Diazotization Coupling Reaction
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Genistein (GEN) is The major isoflavone found in soybeans, has a number of cardiovascular health benefits, Postmenopausal syndrome and osteoporosis. A direct flow injection analysis method for estimation of (GEN) in pure and supplements formulation . This system is based on diazotization coupling reactions between procaine penciline (PR) and genistein in basic medium, they formed yellow dyes have maximum absorption at 416 nm. Calibration curve were constructed over different GEN concentrations, linearity for GEN was 10-100 µg.mL-1 and detection limits of 1.51 ?g/mL. In the FIA technique, all analytical factors were analyzed and optimized. The established method was successfully used to determine GEN in the formulations of its supplement

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Wed Jun 30 2021
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Hybrid canonical genetic algorithm and steepest descent algorithm for optimizing likelihood estimators of ARMA (1, 1) model
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