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. 2024;95(10):770-778.
doi: 10.5603/gpl.98015. Epub 2024 May 8.

Association between serum levels of calcium, magnesium, iron and copper and insulin resistance in women with full blown and not-full blown phenotypes of polycystic ovary syndrome

Katarzyna Skrypnik  1 , Dagmara Pluta  2 , Mariusz Wojtowicz  3 , Tahar Ben Rhaiem  4 , Joanna Suliburska  1
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Free article

Association between serum levels of calcium, magnesium, iron and copper and insulin resistance in women with full blown and not-full blown phenotypes of polycystic ovary syndrome

Katarzyna Skrypnik et al. Ginekol Pol. 2024.
Free article

Abstract

Objectives: The aim of present study was to investigate the association between serum calcium, iron, magnesium, copper levels and insulin resistance in women with full blown phenotype of polycystic ovary syndrome (PCOS) compared to women with not-full blown phenotype.

Material and methods: 104 women diagnosed with PCOS were qualified for the study. Patients were divided into two groups: group I contained women with full blown PCOS (phenotype A) and group II contained women with not-full blown PCOS (phenotypes B, C and D). Whole study population was divided on group X containing women with proper insulin sensitivity and group Y containing women with insulin resistance.

Results: The study found that women with full blown PCOS had lower level of magnesium compared with not-full blown phenotypes. Also, the level of copper was lower in group with proper insulin sensitivity compared to group with insulin resistance. Serum cooper content showed a negative correlation with Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) in group with full blown phenotype. Magnesium level showed positive correlation with level of calcium and cooper in group with proper insulin sensitivity. Level of iron content showed a negative correlation with sex hormone binding globulin (SHBG) and HOMA-IR showed a positive correlation with age and body mass index (BMI) in group with insulin resistance. Either level of calcium showed positive correlation with iron and cooper in group with insulin resistance.

Conclusions: The study showed that there is a correlation between selected micronutrients and insulin sensitivity and the phenotypes of PCOS patients.

Keywords: insulin resistance; micronutrients; phenotypes; polycystic ovary syndrome.

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