Objectives:We aimed to evaluate the effect of insulin resistance (IR) on serum In telectin1 and endocrinological hormones levels in obese and nonobese women with and without polycystic ovary syndrome (PCOS) in Basrah, Iraq. Methods: From 124 women volunteers, 60 patients with primary and 64 patients with secondary, while 56 normal ovulatory women were taken as controls. Their fasting in sulin hormone, intelectin1, antiMullerian hormone, luteinizing hormone (LH), follicle stimulating hormone (FSH), prolactin (PRL), estradiol (E2) and testosterones (T) were determined by ELISA methods. BMI, glucose and quantitative insulin sensitivity check index as well as IR was determined by the homeostasis model assessment. Results: A significant changes (P<0.05) were seen in the level of homeostasis model assessmentIR, E2 and T. Levels of antiMullerian hormone, LH, LH/FSH ratio and pro lactin were significantly (P<0.01) increased and level of intelectin1 and E2/T ratio were significantly (P<0.01) decreased, while quantitative insulin sensitivity check index level was not significantly different (P>0.05) between the patients (1 o PCOS and 2 o PCOS) and control groups. On the other hand, our data reported that FSH level was significantly (P<0.05) lower in obese and higher in nonobese patients with PCOS as compared to control group. Conclusion: Levels of intelectin1 and endocrinological hormones have significantly associated with body mass index, IR and physical activity in patients and normal groups and the strategies that can modulate levels of these parameters would improve metabolic disarrangements in women with PCOS.

To assess and compare clinical, hormonal, and metabolic factors with blood levels of RBP4, PAI-1, and trace elements in women with and without polycystic ovarian syndrome (PCOS). A cross-sectional clinical investigation was undertaken. From December 2020 until January 2022, samples were taken at the Basrah Hospital for Obstetrics and Children's infertility center. Significant changes (p< 0.05) were in HOMA-IR, E2 and Ts. Levels of PAI-1, RBP4, AMH, LH, LH/FSH, PRL and Cu were significantly (p<0.01) increased, and levels of Se, Zn, Mg and E2/T were significantly (p<0.01) decreased, between the patient (1o PCOS and 2o PCOS) and control groups, the QUICKI level did not differ significantly (p>0.05). Compared to the control group, FSH levels were especially (p<0.05) higher in non-obese PCOS patients and lower in obese PCOS patients. Area under the receiver operating characteristics (ROC) curve (AUC) results indicate RBP4 and PAI-1 may be more effective predictors biomarkers for PCOS in expectant women. While trace elements might be considered a protective factor in the emergence of PCOS, metabolic abnormalities and IR in PCOS-affected individuals are associated with the levels of RBP4 and PAI-1, which appear to be a more acceptable diagnostic marker in the early prediction of PCOS. Keywords: Polycystic Ovary Syndrome, RBP4, PAI-1, Trace elements.