Endocrine research · 2025
Interaction between interleukin 10 (IL-10) gene polymorphisms and obesity on susceptibility to polycystic ovary syndrome in Chinese women.
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Ding Ning, Chen Yi-Rou, Jia Rui-Juan, Lu Xi-Zhou, Xie Shu-Lin, Shang Hui-Ling, Shuai Jian-Gang
Аннотация
OBJECTIVES: The pathogenesis of polycystic ovary syndrome (PCOS) was complex, and the incident PCOS involves both genetic and environmental factors. However, no study focused on the synergistic effect between interleukin 10 (IL-10) gene and obesity on PCOS risk yet. This study aimed to evaluate the correlation between IL-10 gene single nucleotide polymorphisms (SNPs) and PCOS susceptibility and impact of the interaction between IL-10 gene and obesity on PCOS risk.
METHODS: A total of 540 participants consisted of 180 PCOS patients and 360 normal controls were enrolled in this study. Logistic regression model was employed to evaluate the association between IL-10 gene polymorphisms and PCOS susceptibility, odds ratios (ORs) and 95% confidence interval (CI) were calculated. Generalized multifactor dimensionality reduction (GMDR) was employed to screen the IL-10 gene-obesity interaction.
RESULTS: Logistic regression also indicated that rs1800896-G allele was statistically significant correlated with increased risk of PCOS, the ORs (rs (95%CI) for AG, GG and AG+GG genotype was 1.75 (1.21-2.33), 1.93 (1.17-2.72) and 1.79 (1.26-2.35), respectively. However, no significant difference was observed on the distribution of genotypes and alleles within rs1800890, rs1800871, rs1800872 between PCOS patients and normal controls (all p values > 0.05). GMDR model found a significant interaction combination (two-locus model with p = 0.001) between rs1800896 and obesity, the cross-validation consistency was 10/10 and the prediction error was 0.641. Compared with those non-obese participants with rs1800896-AA genotype, OR (95% CI) was 1.62 (1.14-2.12), 1.46 (1.02-1.95) for non-obese participants with rs1800896-AG or GG genotype, obese participants with rs1800896-AA genotype, and obese participants with rs1800896-AG or GG genotype have the highest PCOS risk, OR (95% CI) = 3.58 (1.81-5.41), after covariates adjusting.
CONCLUSIONS: We found that rs1800896-G allele, gene-environment interaction between rs1800896 and obesity were all correlated with increased PCOS risk.
METHODS: A total of 540 participants consisted of 180 PCOS patients and 360 normal controls were enrolled in this study. Logistic regression model was employed to evaluate the association between IL-10 gene polymorphisms and PCOS susceptibility, odds ratios (ORs) and 95% confidence interval (CI) were calculated. Generalized multifactor dimensionality reduction (GMDR) was employed to screen the IL-10 gene-obesity interaction.
RESULTS: Logistic regression also indicated that rs1800896-G allele was statistically significant correlated with increased risk of PCOS, the ORs (rs (95%CI) for AG, GG and AG+GG genotype was 1.75 (1.21-2.33), 1.93 (1.17-2.72) and 1.79 (1.26-2.35), respectively. However, no significant difference was observed on the distribution of genotypes and alleles within rs1800890, rs1800871, rs1800872 between PCOS patients and normal controls (all p values > 0.05). GMDR model found a significant interaction combination (two-locus model with p = 0.001) between rs1800896 and obesity, the cross-validation consistency was 10/10 and the prediction error was 0.641. Compared with those non-obese participants with rs1800896-AA genotype, OR (95% CI) was 1.62 (1.14-2.12), 1.46 (1.02-1.95) for non-obese participants with rs1800896-AG or GG genotype, obese participants with rs1800896-AA genotype, and obese participants with rs1800896-AG or GG genotype have the highest PCOS risk, OR (95% CI) = 3.58 (1.81-5.41), after covariates adjusting.
CONCLUSIONS: We found that rs1800896-G allele, gene-environment interaction between rs1800896 and obesity were all correlated with increased PCOS risk.