Tıp Fakültesi / Faculty of Medicine

Permanent URI for this collectionhttps://hdl.handle.net/11727/1403

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    Serum Betatrophin Levels Are Reduced in Patients with Full-Blown Polycystic Ovary Syndrome
    (2019) Haydardedeoglu, Filiz Eksi; Bagir, Gulay Simsek; Haydardedeoglu, Bulent; Bozkirli, Emre; Bakiner, Okan; Metin, Kerem; Ertorer, Melek Eda; https://orcid.org/0000-0002-0179-9673; https://orcid.org/0000-0002-1644-6790; https://orcid.org/0000-0001-9629-7002; https://orcid.org/0000-0001-7357-8709; 30241452; AAK-5003-2021; E-9887-2014; AAK-5525-2021; AAJ-8545-2021; ABI-3705-2020
    Betatrophin is defined as a new marker in glucose homeostasis and lipid metabolism. We aimed to investigate the role of serum betatrophin in full-blown polycystic ovary syndrome (PCOS) patients and 47-aged healthy women, 51 full-blown PCOS patients were included in this cross-sectional study. Betatrophin concentrations were significantly lower in PCOS group and displayed a positive correlation only with serum tryglyceride in control group (p < .05). A cutoff level (464.5 ng/L) was determined for betatrophin according to Receiver Operating Characteristic curve. Using this value, 64.7% of PCOS patients were classified as below the cutoff and in this group betatrophin was found to correlate negatively with fasting glucose, fasting insulin, and homeostasis model assessment of insulin resistance (p = .038, p = .020, and p = .014, respectively), and positively with total testosterone (p = .041). In the rest of PCOS cases (35.3%) who had betatrophin higher than cutoff, positive correlation was found with low-density lipoprotein cholesterol (p = .009). In conclusion, betatrophin levels are reduced in full-blown PCOS patients who had worse metabolic phenotype.
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    Body Mass Index below Obesity Threshold Implies Similar Cardiovascular Risk among Various Polycystic Ovary Syndrome Phenotypes
    (2016) Bagir, Gulay Simsek; Bakiner, Okan S.; Bozkirli, Emre; Cavlak, Gulhan; Serinoz, Hulya; Ertorer, M. Eda; 26335185
    Objective: The aim of this study was to determine the cardiometabolic risk factors in different polycystic ovary syndrome (PCOS) phenotypes. Subjects and Methods: This cross-sectional study was performed between 2010 and 2011. Eighty-nine patients with PCOS and 25 age- and weight-matched healthy controls were included in the study. Patients were grouped using the Rotterdam 2003 criteria as: group 1, oligomenorrhea and/or anovulation (ANOV) and hyperandrogenemia (HA) and/or hyperandrogenism (n = 23); group 2, ANOV and polycystic ovaries (PCO; n = 22); group 3, HA and PCO (n = 22); group 4, ANOV, HA and PCO (n = 22); group 5, controls (n = 25). Laboratory blood tests for diagnosis and cardiometabolic risk assessments were performed. Insulin resistance (IR) was calculated in all patients with the homeostasis model assessment of IR (HOMA-IR) formula. An euglycemic hyperinsulinemic clamp test was performed on 5 randomly selected cases in each subgroup, making 25 cases in total, and indicated as the 'M' value (mg/kg/min), which is the total body glucose disposal rate. Results: The mean BMl values of the groups were: group 1, 26.1 +/- 5.3; group 2, 27.9 +/- 5.2; group 3, 24.3 +/- 4.2; group 4, 27.9 +/- 7.5; group 5, 24.7 +/- 5.2 (p > 0.05). There were no differences in the lipid profile, plasma glucose, HOMA-IR, insulin and M values between the groups (p > 0.05). Phenotypes with oligomenorrhea/anovulation (groups 1, 2 and 4) were more obese than group 3 (p = 0.039). Conclusions: The cardiometabolic risk profile was similar among the PCOS subgroups. This finding could be attributed to the mean BMl values, which, being below 30, were not within the obesity range. Obesity appeared to be an important determinant of high cardiovascular risk in PCOS. (C) 2015 S. Karger AG, Basel