Association of IL-16 rs11556218 T/G polymorphism with the risk of developing type 2 diabetes mellitus

Genetic Association of Interleukin 16 Gene Polymorphisms (rs11556218 & rs4778889) with Type 1 Diabetes in Egyptian Children: A Case-Control Study

BACKGROUND

Type 1 diabetes (T1D) is a serious chronic autoimmune condition. Even though the underlying reason for the onset of T1D is unknown, due to their effector and regulatory roles in immune responses, cytokines are essential in developing autoimmune disorders. Interleukin (IL)16 is an immunomodulatory cytokine implicated in several inflammatory and autoimmune diseases.

OBJECTIVE

This study was designed to examine the association of IL16 gene polymorphisms, rs11556218 T > G and rs4778889 T > C, with the risk of T1D in Egyptian children.

METHODS

Using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay, we analyzed rs11556218 T > G and rs4778889 T > C polymorphisms of the IL16 gene in 100 T1D subjects and 93 controls.

RESULTS

Rs11556218 T > G polymorphism of the IL16 gene was not associated with the risk of developing T1D. Analysis of IL16 gene rs4778889 T > C showed that the TT genotype had a considerably higher risk of T1D than the TC genotype [OR = 2.195 (1.205-3.999)]. In comparison to patients with the C allele [OR = 0.6914 (0.38-1.2569)], patients with the T allele [OR = 1.45 (0.7956-2.6296)] were notably more likely to have T1D. A significant decrease was found in the frequency of GT (OR = 0.43, p = .03) and TC (OR = 0.32, p = .011) haplotypes of IL16 gene rs11556218 T > G and rs4778889 T > C polymorphisms in T1D patients compared with controls.

CONCLUSION

IL16 gene rs4778889 T > C polymorphism might be associated with susceptibility to T1D. Egyptians with TT genotypes are more likely to develop T1D. However, GT and TC haplotypes of IL16 gene rs11556218 T > G and rs4778889 T > C polymorphisms highlight their protective role againstT1D disease.

Interleukin-16 is increased in dialysis patients but is not a cardiovascular risk factor

Oxalate, a uremic toxin that accumulates in dialysis patients, is associated with cardiovascular disease. As oxalate crystals can activate immune cells, we tested the hypothesis that plasma oxalate would be associated with cytokine concentrations and cardiovascular outcomes in dialysis patients. In a cohort of 104 US patients with kidney failure requiring dialysis (cohort 1), we measured 21 inflammatory markers. As IL-16 was the only cytokine to correlate with oxalate, we focused further investigations on IL-16. We searched for associations between concentrations of IL-16 and mortality and cardiovascular events in the 4D cohort (1255 patients, cohort 2) and assessed further associations of IL-16 with other uremic toxins in this cohort. IL-16 levels were positively correlated with pOx concentrations (ρ = 0.39 in cohort 1, r = 0.35 in cohort 2) and were elevated in dialysis patients when compared to healthy individuals. No significant association could be found between IL-16 levels and cardiovascular events or mortality in the 4D cohort. We conclude that the cytokine IL-16 correlates with plasma oxalate concentrations and is substantially increased in patients with kidney failure on dialysis. However, no association could be detected between IL-16 concentrations and cardiovascular disease in the 4D cohort.

Analysis of differentially expressed genes in torn rotator cuff tendon tissues in diabetic patients through RNA-sequencing

BACKGROUND

Rotator cuff tears (RCT) is a common musculoskeletal disorder in the shoulder which cause pain and functional disability. Diabetes mellitus (DM) is characterized by impaired ability of producing or responding to insulin and has been reported to act as a risk factor of the progression of rotator cuff tendinopathy and tear. Long non-coding RNAs (lncRNAs) are involved in the development of various diseases, but little is known about their potential roles involved in RCT of diabetic patients.

METHODS

RNA-Sequencing (RNA-Seq) was used in this study to profile differentially expressed lncRNAs and mRNAs in RCT samples between 3 diabetic and 3 nondiabetic patients. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis were performed to annotate the function of the differentially expressed genes (DEGs). LncRNA-mRNA co-expression network and competing endogenous RNA (ceRNA) network were constructed to elucidate the potential molecular mechanisms of DM affecting RCT.

RESULTS

In total, 505 lncRNAs and 388 mRNAs were detected to be differentially expressed in RCT samples between diabetic and nondiabetic patients. GO functional analysis indicated that related lncRNAs and mRNAs were involved in metabolic process, immune system process and others. KEGG pathway analysis indicated that related mRNAs were involved in ferroptosis, PI3K-Akt signaling pathway, Wnt signaling pathway, JAK-STAT signaling pathway and IL-17 signaling pathway and others. LncRNA-mRNA co-expression network was constructed, and ceRNA network showed the interaction of differentially expressed RNAs, comprising 5 lncRNAs, 2 mRNAs, and 142 miRNAs. TF regulation analysis revealed that STAT affected the progression of RCT by regulating the apoptosis pathway in diabetic patients.

CONCLUSIONS

We preliminarily dissected the differential expression profile of lncRNAs and mRNAs in torn rotator cuff tendon between diabetic and nondiabetic patients. And the bioinformatic analysis suggested some important RNAs and signaling pathways regarding inflammation and apoptosis were involved in diabetic RCT. Our findings offer a new perspective on the association between DM and progression of RCT.