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Gene Rs1800871, Rs1800872, and Rs1800896 Polymorphisms and IL-10 Serum Levels Association with Pituitary Adenoma. | LitMetric

AI Article Synopsis

  • The study investigates the relationship between specific gene polymorphisms (rs1800871, rs1800872, rs1800896) and IL-10 serum levels in patients with pituitary adenoma (PA).
  • Data from 106 patients with PA and 192 control subjects were analyzed using DNA isolation, genotyping, and ELISA to measure IL-10 levels.
  • Results suggest that the rs1800871 and rs1800872 polymorphisms are linked to a higher likelihood of having inactive pituitary adenoma, but no significant association was found with PA invasiveness or recurrence.

Article Abstract

Unlabelled: The aim and objective of this study is to determine the association between the rs1800871, rs1800872, and rs1800896 polymorphisms of the gene and the serum levels of IL-10 in patients with pituitary adenoma.

Methods: Data from 106 patients with pituitary adenoma and 192 control patients were used for the study. DNA was isolated from peripheral blood using the salt precipitation method. The samples were genotyped in real-time using the polymerase chain reaction method. IL-10 serum levels were evaluated using an ELISA kit. The data obtained were systematized using the computer program IBM SPSS Statistics.

Results: The AG genotype of rs1800871 was statistically significantly lower in the inactive PA group than in the control group (22.7% vs. 40.6%, = 0.027). The TG genotype of rs1800872 was also statistically significantly lower in the inactive PA group than in the control group (22.7% vs. 40.6%, = 0.027). A binary logistic regression analysis of the polymorphisms in the gene in PA and control groups based on the pituitary adenoma activity showed that the AG genotype of rs1800871 increased the chance of inactive PA by 2.2-fold in codominant (OR: 2.272, CI: 1.048-4.925, = 0.038) and overdominant (OR: 2.326, CI: 1.086-4.982, = 0.030) models. Moreover, the TG genotype of rs1800872 increased the probability of inactive PA by 2.2-fold in codominant (OR: 2.272, CI: 1.048-4.925, = 0.038) and overdominant (OR: 2.326, CI: 1.086-4.982, = 0.030) models. The association of the polymorphisms with PA invasiveness and recurrence in PA and control groups did not yield statistically significant results.

Conclusions: rs1800871 and rs1800872 may be associated with the development of inactive PA.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405800PMC
http://dx.doi.org/10.3390/biomedicines10081921DOI Listing

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