Investigation of the Association of Serum Trace Elements Concentrations and Serum Biochemical Parameters with the Risk of Polycystic Ovary Syndrome: a Case-Control Study

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrinological syndrome characterized by hyperandrogenism of ovarian origin and is often considered a predisposing factor for metabolic disorders. The objective of the study was to investigate serum levels of (a) trace elements (copper (Cu), zinc (Zn), magnesium (Mg), selenium (Se), iron (Fe), chromium (Cr), and manganese (Mn)); and (b) biochemical parameters (glucose, cholesterol, triglycerides, high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), albumin, total protein, creatinine, and C-reactive protein (CRP) with risk of PCOS. Another objective was to explore the relationship between serum trace elements and biochemical variables. Serum trace elements were estimated by inductively coupled plasma mass spectrometry (ICP-MS) and biochemical parameters were estimated by colorimetric methods in 99 PCOS cases and 82 controls. Linear and non-linear associations of serum variables with PCOS risk were studied under logistic, probit, GAM, and BKMR model. Statistical analyses were performed using IBM SPSS 22.0 and R package version 4.2.1. All studied serum trace elements (except Zn) are significantly associated with PCOS. Combined effect analysis revealed Mg-Se and Fe-Cu association with PCOS risk. A significant association of cholesterol, HDL-C, LDL-C, CRP, and albumin was observed. Furthermore, linear regression analysis suggests an association between Mg-Cu and Mg-Fe-Mn with HDL-C; Fe and Cr-Cu with albumin; and Cu-Se with cholesterol and LDL-C both.