Association of the IL6 rs1800796, but not of the IL6 rs1800795, IL6R rs4845617 and rs2228145 polymorphisms with hip fracture in elderly Mexican women

Association of IL-6 and TGF-β Gene Polymorphisms with the Risk of Thoracolumbar Osteoporotic Vertebral Compression Fractures

Purpose

Osteoporotic vertebral compression fracture (OVCF) is a common disease in the elderly, and genetic factors play a key role in its occurrence. The present study was conducted to investigate the association between interleukin-6 (IL-6) and the transforming growth factor (TGF-β) gene polymorphisms and the occurrence of thoracolumbar OVCF.

Patients and Methods

This case–control study recruited 146 patients with OVCF and 144 osteoporosis patients as the control group. Genotypes of the IL-6 rs1800796 and TGF-β rs1982073 were analyzed by sequencing. Genotype distribution and allelic frequencies were investigated by the χ² test. Odds ratios (OR) and 95% confidence intervals (CI) evaluated the relationship of IL-6 or TGF-β polymorphism and OVCF susceptibility.

Results

Allele G and genotype GG of IL-6 rs1800796 was more frequent in patients with OVCF (40.07% vs.28.47%; 19.18% vs.7.64%) compared with controls. GG genotype (OR=3.394, 95% CI=1.560–7.385, P < 0.001) and G allele (OR=1.680, 95% CI=1.187–2.376, P < 0.001) of IL-6 rs1800796 was significantly associated with increased risk of OVCF. What is more, CT and TT genotypes (41.78 vs.51.39; 19.86 vs.26.39) and allele T (40.75 vs 52.08) of TGF-β rs1982073 were less frequent in OVCFs, more common in controls and protective against OVCF risk (OR=0.436, 95% CI=0.228–0.835, P = 0.012; OR=0.615, 95% CI=0.443–0.855, P = 0.004).

Conclusion

Our results suggest that the G allele and GG genotype of IL-6 rs1800796 may contribute to increased susceptibility to OVCF in elderly Chinese. In contrast, CT and TT genotypes and the T allele of TGF-β rs1982073 may contribute to lower susceptibility of OVCF.

Making sense of IL-6 signalling cues in pathophysiology

Unravelling the molecular mechanisms that account for functional pleiotropy is a major challenge for researchers in cytokine biology. Cytokine-receptor cross-reactivity and shared signalling pathways are considered primary drivers of cytokine pleiotropy. However, reports epitomized by studies of Jak-STAT cytokine signalling identify interesting biochemical and epigenetic determinants of transcription factor regulation that affect the delivery of signal-dependent cytokine responses. Here, a regulatory interplay between STAT transcription factors and their convergence to specific genomic enhancers support the fine-tuning of cytokine responses controlling host immunity, functional identity, and tissue homeostasis and repair. In this review, we provide an overview of the signalling networks that shape the way cells sense and interpret cytokine cues. With an emphasis on the biology of interleukin-6, we highlight the importance of these mechanisms to both physiological processes and pathophysiological outcomes.

Correlation between interleukin gene polymorphisms and current prevalence and mortality rates due to novel coronavirus disease 2019 (COVID-2019) in 23 countries

Background

The novel coronavirus disease 2019 (COVID‐19) infection may rely on a potential genetic background for the variations in the inflammatory response. We aimed to investigate the possible correlation between polymorphisms in the IL‐6 gene at rs1800796/rs1800795, in IL‐6R at rs2228145, in IL‐10 at rs1800896 and rs1800871, in IL‐17 at rs2275913 and rs763780 loci, and COVID‐19 prevalence and mortality rates among populations of 23 countries.

Methods

We searched the literature for polymorphisms in China, Japan, India, Spain, Mexico, Sweden, Turkey, Brazil, Russia, Poland, Italy, South Africa, Netherlands, Greece, Germany, UK, Iran, Finland, Czechia, Tunisia, Norway, Egypt, Croatia. We recorded the prevalence and mortality rates (per million) caused by the Coronavirus infection recorded on 7th September 2020 and 6th December 2020.

Results

There was a significant positive correlation between the frequency of AG genotype of rs1800896 and prevalence recorded on 6th December 2020 (r: 0.53, r²: 0.28, p < .05). There was a significant negative correlation between the mortality rates recorded on 7th September, and the AG genotype of rs2275913 (r: −0.51, r²: 0.26, p < .05). There was a significant positive correlation between the prevalence recorded on 6th December, and TT genotype at rs763780 (r: 0.65, r²:0.42, p < .05) while a negative correlation between prevalence and TC genotype at rs763780 (r: −0.66, r²: 0.43, p < .05). Also, a significant negative correlation was found between mortality rates recorded on 6th December 2020 and CC genotype at rs763780 (r: −0.56, r²: 0.31, p < .05).

Conclusion

The variations in prevalence of COVID‐19 and its mortality rates among countries may be explained by the polymorphisms at rs1800896 in IL‐10, rs2275913 in IL‐17A, and rs763780 loci in the IL‐17F gene.

The variations in prevalence of COVID‐19 and its mortality rates among 23 countries may be explained by the polymorphisms at rs1800896 in IL‐10, rs2275913 in IL‐17A, and rs763780 loci in the IL‐17F gene.

AG genotype frequency of rs1800896 was positively correlated with prevalence recorded on 6th December 2020.

The mortality rates recorded on 7th September was negatively correlated with AG genotype frequency of rs2275913.

The prevalence recorded on 6th December was positively correlated with frequency of TT and negatively with TC genotype at rs763780.

The mortality rates recorded on 6th December 2020 was negatively correlated with CC genotype frequency at rs763780.

Association study of genetic variations of inflammatory biomarkers with susceptibility and severity of obstructive sleep apnea

BACKGROUND

Obstructive sleep apnea (OSA) increases health risks of cardiovascular disease and stroke. Both genetic factors and environmental exposures contribute to the occurrence of OSA. The purpose of this study was to determine the role of four functional inflammatory single nucleotide polymorphisms (SNPs) (VWF rs1063856, IL-6 rs1800796, TNF rs1800629, and CRP rs2794521) in the susceptibility and severity of OSA.

METHODS

A case-control study of OSA among Chinese population was conducted. Genotyping was performed using ABI TaqMan SNP genotyping technique.

RESULTS

We found VWF rs1063856 (OR = 1.50, 95% CIs = 1.10-2.04; p = 0.010), IL-6 rs1800796 (OR = 1.32, 95% CIs = 1.11-1.56; p = 0.002), TNF rs1800629 (OR = 1.44, 95% CIs = 1.13-1.83; p = 0.003), and CRP rs2794521 (OR = 1.27, 95% CIs = 1.04-1.55; p = 0.021) were all significantly associated with increased susceptibility of OSA, while VWF rs1063856 (OR = 1.75, 95% CIs = 1.18-2.62; p = 0.006), IL-6 rs1800796 (OR = 1.39, 95% CIs = 1.10-1.76; p = 0.006) were associated with the severity of OSA.

CONCLUSIONS

Our study indicated that functional variants of inflammatory biomarkers could cause the occurrence of OSA and influence the severity of OSA. These findings further support that inflammatory cytokines were closely related to the occurrence and development of OSA.