3.8 Article

Detection of Thyorid Autoimmunity Markers in Euthyroid Women With Polycystic Ovary Syndrome: A Case-Control Study From Syria

Publisher

KOWSAR CORP
DOI: 10.5812/ijem.17954

Keywords

Anti-thyroglobulin; Anti-thyroid Peroxidase; Polycystic Ovary Syndrome; Thyroid Gland; Syria

Funding

  1. Damascus University, Faculty of Pharmacy

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Background: Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies in women in reproductive age. In many cases, PCOS is associated with infertility and increased risk of miscarriage. Recent studies have detected the presence of several organ specific and nonspecific autoantibodies in women with PCOS. Objectives: The aim of this study was to evaluate the prevalence and levels of thyroid antibodies in euthyroid women with PCOS in Syria. Patients and Methods: This study included 56 euthyroid women with PCOS and 30 healthy women as a control group. PCOS was defined according to the revised 2003 Rotterdam criteria. Thyroid function was evaluated by measurement of serum TSH and FT4 levels. Antithyroid peroxidase and antithyroglobulin antibodies (anti-TPO and anti-TG, respectively) were detected as markers for thyroid autoimmunity. All parameters were measured using electrochemiluminescence immunoassay. Results: Women with PCOS had higher serum levels of anti-TPO in comparison to controls (39.9 +/- 59.5 and 18.9 +/- 11.2 IU/mL, respectively; P < 0.05) and no significant difference was found in serum levels of anti-TG, TSH, or FT4 between the two groups. Patients with PCOS had a higher prevalence of positive results for anti-TG and/or anti-TPO in comparison to controls (28.6% and 3.3%, respectively; P< 0.05), anti-TPO alone (19.6% and 3.3%, respectively; P < 0.05) and anti-TG alone (21.4% and 3.3%, respectively; P < 0.05). No significant associations were found between antibodies and studied hormones. Conclusions: High prevalence of thyroid antibodies in euthyroid patients with PCOS refers to the importance of investigation for thyroid autoimmune state in those patients.

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