Background. Oxidative stress may be increased in a number of psychiatric disorders, including major depressive disorder (MDD). MDD has been shown to be related to insulin-like growth factor-1 (IGF-1) as well as to negative life events; exploring the interaction of IGF-1 polymorphisms and negative life events on the risk of MDD is needed. The aim of this study was to analyze the single and combined effects of IGF-1 polymorphisms (rs972936 and rs978458) and negative life events with MDD among Chinese population. Methods. 420 MDD patients (according to DSM-V) and 420 age- and gender-matched control subjects were recruited in a case-control study. Negative life events were assessed using standard rating scales. IGF-1 rs972936 and rs978458 were identified by sequencing. The chi-square (χ2) tests were performed to explore the association of negative life events and IGF-1 polymorphisms with MDD. Results. Our results found that the negative life events were associated with the risk of MDD (P<0.001; OR=3.28, 95% CI: 2.19-4.85). The genotypes of IGF-1 were associated with the risk of MDD (P<0.001); carrying the IGF-1 rs972936 C allele (OR=1.53, 95% CI: 1.26-1.85) and rs978458 T allele (OR=1.92, 95% CI: 1.58-2.34) had a higher risk of MDD. The combined effects between IGF-1 rs978458 and negative life events were associated with the risk of MDD (P<0.05; OR=2.94, 95% CI: 1.23-7.03), but IGF-1 rs972936 was not associated (P>0.05). Conclusions. Based on the oxidative stress hypothesis, we confirm that carrying IGF-1 rs972936 C allele and rs978458 T allele have a higher risk of MDD and the combined effects between IGF-1 rs978458 and negative life events were associated with the risk of MDD among Chinese population.
CITATION STYLE
Qiao, Z., Xie, Y., Wu, Y., Yang, X., Qiu, X., Zhou, J., … Bu, T. (2022). Association of the Combined Effects between Insulin-Like Growth Factor-1 Gene Polymorphisms and Negative Life Events with Major Depressive Disorder among Chinese population in the Context of Oxidative Stress. Oxidative Medicine and Cellular Longevity, 2022. https://doi.org/10.1155/2022/3253687
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