Background: Interleukin (IL)-6 and IL-10 are the most important cytokine with pro and anti-inflammatory activities, respectively. Dysregulation of IL-6 and IL-10 are associated with increased risk of developing Type 2 Diabetes Mellitus (T2DM). Despite this, a fundamental understanding of both cytokine gene polymorphisms with its expression is critical in understanding of cellular mechanism of insulin resistance as well as T2DM intervention. Therefore, this study aimed to assess IL-6 (- 174 G/C) and IL-10 (- 1082 A/G) gene polymorphism, and its association with T2DM, North West Ethiopia.

Methods: A comparative cross-sectional study from January to May 2018 was conducted on study participants with T2DM and apparently healthy controls. Deoxyribonucleic acid (DNA) extraction and genotyping was carried out by using amplification refractory mutation system polymerase chain reaction to detect polymorphism of IL-6 and IL-10 gene at the position - 174 and - 1082, respectively. The logistic regression model was fitted to assess the association of between cytokine gene polymorphisms and T2DM. Odds ratio with 95% CI was determined to assess the presence and strength of association between the explanatory variables and outcome variable. A P-value < 0.05 was considered as statistically significant.

Result: Participants carrying the GG genotype of IL-6 (- 174) (OR (95% CI) = 4.61 (2.07-10.54) was a high likelihood of having T2DM compared to those carrying the CC and AA genotypes. AA and AG genotypes of IL-10 (- 1082) were at lower odd of developing T2DM compared to those carrying the GG genotype. In addition, individuals carrying the G allele of IL-6 (- 174) have 2.82-fold odds of developing T2DM compared to individuals carrying the C allele (OR (95% CI) =2.81 (1.78-4.50)).

Conclusion: Our study revealed that genetic polymorphisms of IL-6 (- 174) GG genotype is the potential host genetic risk factors to T2DM. While, IL-10 (- 1082) AA genotype is negatively associated with T2DM. Therefore, IL-6 (- 174) and IL-10 (- 1082) genetic variation may be considered as a biomarker for early screening and diagnosis of T2DM.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051082PMC
http://dx.doi.org/10.1186/s12902-021-00738-1DOI Listing

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