Purpose of the Study: This study is being conducted to examine a protein called MG53 (also known as TRIM72) in women with polycystic ovary syndrome (PCOS). MG53 is involved in cell membrane repair and may play a role in insulin resistance, which is common in PCOS. Study Procedures: Women between 18 and 45 years of age will be invited to participate. The study population will include both women diagnosed with PCOS and healthy controls. A single blood sample (approximately 5 mL) will be collected from each participant. MG53 levels will be measured using an ELISA laboratory assay. Significance of the Study: Analysis of MG53 levels in relation to hormonal and metabolic markers may help determine whether MG53 is associated with insulin resistance and other characteristics of PCOS.
Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of reproductive age and is often associated with insulin resistance and metabolic disturbances. MG53 (TRIM72) is a membrane repair protein that has been shown in some experimental studies to affect insulin signaling and glucose metabolism. Rationale: Because insulin resistance is a key feature of PCOS, investigating MG53 levels in women with PCOS may provide new insights into the pathophysiology of the syndrome. Understanding whether MG53 is elevated and how it correlates with metabolic and hormonal parameters could lead to new diagnostic or therapeutic approaches in the future. Study Design: This is an observational, cross-sectional, single-center study. A total of 128 participants will be included: 64 women diagnosed with PCOS (based on the Rotterdam criteria) and 64 healthy women as controls. Procedures: Each participant will undergo a single blood draw (approximately 5 mL). MG53 levels will be measured using an ELISA method. Routine laboratory markers associated with PCOS (including HOMA-IR, BMI, LH/FSH ratio, total testosterone, DHEA-S, SHBG, free androgen index, triglycerides, HDL, LDL, and total cholesterol) will also be recorded from standard clinical evaluations. Data Analysis: Statistical analysis will include normality testing (Kolmogorov-Smirnov), comparison of groups (Student's t-test or Mann-Whitney U test), and correlation analyses (Pearson or Spearman). Sample size was calculated using G\*Power software. Outcome Measures: The primary outcome is the serum level of MG53. Secondary outcomes include the correlation between MG53 levels and metabolic/hormonal parameters. Significance: This study does not involve any investigational drug or device and poses minimal risk to participants. The findings may contribute to the understanding of metabolic pathways involved in PCOS.
Study Type
OBSERVATIONAL
Enrollment
128
This is an observational study. No drugs, devices, or treatments are administered. Participants only provide a single blood sample for MG53 and routine metabolic measurements.
University of Health Sciences, Gaziosmanpaşa Training and Research Hospital
Gaziosmanpaşa, Istanbul, Turkey (Türkiye)
Serum MG53 level
Serum MG53 levels measured by ELISA in women with PCOS and healthy controls. Time Frame: At the time of blood draw (single measurement at enrollment)
Time frame: Baseline (single time point at enrollment)
Correlation between MG53 levels and insulin resistance (HOMA-IR)
Association between MG53 levels and HOMA-IR index derived from fasting glucose and insulin.
Time frame: At the time of blood draw (single measurement at enrollment)
Correlation between MG53 levels and BMI
Association between MG53 levels and body mass index (BMI).
Time frame: At the time of blood draw (single measurement at enrollment)
Correlation between MG53 levels and hormonal parameters
Association between MG53 levels and LH/FSH ratio, total testosterone, DHEA-S, SHBG, and free androgen index.
Time frame: At the time of blood draw (single measurement at enrollment)
Correlation between MG53 levels and lipid parameters
Association between MG53 levels and triglycerides, HDL-cholesterol, LDL-cholesterol, and total cholesterol.
Time frame: At the time of blood draw (single measurement at enrollment)
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