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Biomedical subjects

S Bahceci

Publications and source records attributed to S Bahceci.

6 recordsLinked to original sources
PubMed2004

Serum prostate specific antigen levels in women with polycystic ovary syndrome and the effect of flutamide+desogestrel/ethinyl estradiol combination.

BACKGROUND: Prostate-specific antigen (PSA) is expressed in many female tissues and its concentrations were higher in hirsute subjects. We aimed to determine serum PSA level in hirsute women and evaluate the effect of flutamide+desogestrel/ethynil estradiol combination. SUBJECTS AND STUDY DESIGN: Thirty patients with polycystic ovary syndrome (PCOS) and 30 healthy controls were studied. Hirsutism was defined by modified Ferriman-Gallwey score (FGS). Free androgen index (FAI) was used for hyperandrogenism. Patients received flutamide (500 mg/d) and oral contraceptive (desogestrel+ethinyl estradiol) for 9 months. RESULTS: Mean FGS (p<0.0001), insulin (p<0.01), FAI (0.0001), androstenedione (p<0.0001), LH (p<0.05), and free testosterone (p<0.003) levels of patients with PCOS were higher than the control group. Mean serum total and free PSA level of PCOS patients were higher than the control group (p<0.0001 and p<0.0001). We found a positive correlation between total PSA levels and FGS (r=0.568, p<0.001), FAI and FGS (r=0.456 and p<0.01). There was also a positive correlation between FAI and total PSA (r=0.503 and p<0.005). At the end of treatment, FGS, androstenedione, free and total testosterone, FAI, serum PSA and LH levels decreased significantly [serum total PSA was 0.0208 +/- 0.0178 ng/ml at baseline and 0.0061 +/- 0.0044 ng/ml after treatment (p<0.0001)]. CONCLUSIONS: 1. Serum prostate specific antigen level is higher in patients with PCOS; 2. There is a positive correlation among FGS, FAI and PSA levels; 3. Serum PSA levels decrease with antiandrogen treatment; 4. Serum PSA measurement might be a marker for hirsutism.

Adolescent↗
PubMed2004

The comparison of insulin sensitivity in non-diabetic hemodialysis patients treated with and without recombinant human erythropoietin.

BACKGROUND: Patients with end-stage renal disease (ESRD) are known to have insulin resistance. Treatment with EPO is associated with improvement in insulin sensitivity in uremic patients. The aim of this study was to compare insulin sensitivity and pancreatic B cell function in adult non-diabetic uremic hemodialysis patients treated with or without rHuEPO. SUBJECTS AND METHODS: Three groups of subjects were included to the study: hemodialysis patients treated with rHuEPO [EPO(+) group] or without rHuEPO [EPO(-) group], and healthy controls. Anthropometrical parameters, lipid levels, fasting glucose and insulin levels were measured in all subjects. Homeostasis Model Assessment (HOMA) was used to compare insulin sensitivity. ANOVA, independent t-test, and Pearson correlation were used for statistical analysis. RESULTS: Mean insulin level of control group (20.04 +/- 7.2 pmol/l) was significantly lower than EPO(+) group (p < 0.04) and EPO(-) group (p < 0.0001). HOMA-(%B) levels in the EPO(+) group were significantly lower than in the EPO(-) group (106 +/- 42, 140 +/- 63 respectively, p < 0.02). HOMA-(%B) levels in the control group (66 +/- 17) were significantly lower than in the EPO(+) and EPO(-) group (p < 0.005 and p < 0.0001 respectively). HOMA-(%S) levels in the EPO(+) groups was significantly higher than in the EPO(-) group (91 +/- 40, 56 +/- 26, respectively; p < 0.01). HOMA-(%S) levels of control group (125 +/- 24 ) was significantly higher than EPO(+) and EPO(-) groups (p < 0.02, p < 0.0001 respectively). We found a positive correlation between duration of erythropoietin treatment and insulin sensitivity (r = 0.484, p < 0.002). CONCLUSIONS: Firstly, patients treated with EPO are insulin sensitive compared to patients not treated with EPO. Secondly, duration of erythropoietin treatment is positively correlated with insulin sensitivity in hemodialysis patients.

Adult↗
PubMed2003

Insulin sensitivity and hyperprolactinemia.

It has been shown that prolactin (PRL) induces glucose intolerance, hyperinsulinemia and insulin resistance in several animal species. In women with microprolactinomas, the sensitivity to insulin is lower in hyperprolactinemia than in normoprolactinemia. Thirty non-obese women with hyperprolactinemia and 30 healthy non-obese women were included into the study. Age, body weight (bw), height, body mass index (BMI), waist circumference, hip circumference and waist to hip ratio of both patients with hyperprolactinemia and control subjects were not different. Mean serum prolactin level was higher in hyperprolactinemic patients than in control group (84.5 +/- 51.1 ng/ml and 13.8 +/- 5.3 ng/ml respectively, p<0.002). Mean HOMA-(%B) index of hyperprolactinemic patients was higher than in control subjects (121 +/- 49 and 84 +/- 38, respectively, p<0.02). Mean HOMA-(%S) index was lower in hyperprolactinemic patients (56 +/- 39 and 105 +/- 55, respectively, p<0.006). Serum total testosterone, free testosterone, androstenedione, estradiol, cortisol, sex hormone binding globulin and DHEA-S levels in both hyperprolactinemic women and healthy subjects, statistically did not show any difference between the two groups. The present data indicate that hyperprolactinemia is associated with an insulin-resistant state. This resistant state may not be a result of obesity, androgenic hormones, and SHBG or pregnancy. It may be the result of serum free fatty acids (FFA) levels, decrement in the number of insulin receptors (by a down-regulation of insulin receptors) or post-binding defect in insulin action or more.

Adolescent↗
PubMed2003

Is hyperprolactinemia associated with insulin resistance in non-obese patients with polycystic ovary syndrome?

Insulin resistance is common in polycystic ovary syndrome (PCOS). Moderate elevations in serum PRL concentration may contribute to insulin resistance in PCOS. The aim of this study was to determine PRL on development of insulin resistance in non-obese hyperprolactinemic patients with PCOS. Ninety-eight non-obese subjects with PCOS and 100 non-obese healthy control were accepted in the study. Serum glucose, lipids, androgens, free androgen index (FAI), gonadotropins, fat mass and percentage, SHBG, and insulin levels were measured. Homeostasis model assessment (HOMA) was used as index of pancreatic beta-cell function and tissue insulin sensitivity. Independent t-test was used in comparison of results. In patients with PCOS, FAI and mean HOMA-(%B) level were higher than in the control group (p<0.0001), whereas mean HOMA-(%S) in subjects with PCOS was lower than in the control group (p<0.0001). Patients with PCOS were divided into subgroups according to their serum prolactin level (< 24 or > or = 24 ng/ml). Although FAI was not different, mean insulin and HOMA-(%B) levels in hyperprolactinemic patients were higher than in normoprolactinemic subjects (p<0.001). HOMA-(%S) in hyperprolactinemic patients with PCOS was lower than in normoprolactinemic patients (p<0.002). In conclusion, PCOS is associated with insulin resistance; non-obese hyperprolactinemic PCOS patients may be more insulin-resistant than normoprolactinemics and there may be an association between hyperprolactinemia and insulin resistance in PCOS.

Adult↗
PubMed1999

An electron-conformational method of identification of pharmacophore and anti-pharmacophore shielding: application to rice blast activity.

In extension and improvement of previous results, a novel method is worked out for pharmacophore identification and activity prediction in structure-activity relationships. In this method, as in our previous works, each molecular system (conformation) of the training set is described by a matrix with both electron structural parameters (atomic charges, bond orders, etc.) and interatomic distances as matrix elements. This description includes a rather full geometry of charge and/or reactivity distribution thus providing a much better representation of the molecular properties in their interaction with the target. By multiple comparison of these matrices for the active and inactive compounds of the training set, a relatively small number of matrix elements are revealed that are common for all the active compounds and are not present in the same combination in the inactive ones. In this way a set of electronic and geometry parameters is obtained that characterize the pharmacophore (Pha). A major improvement of this scheme is reached by introducing the anti-pharmacophore shielding (APS) and a proper treatment of the conformational problem. The APS is defined as molecular groups and competing charges outside the basic skeleton (the Pha plus the inert neighbor atoms that do not affect the activity) that hinder the proper docking of the Pha with the bioreceptor thus diminishing (partially or completely) the activity. A simple empirical formula is derived to estimate the relative contribution of APS numerically. Two main issues are most affected by the APS: (1) the procedure of Pha identification is essentially simplified because only a small number of molecular systems with the highest activity and simplest structures (systems without APS) should be tried for this purpose; (2) with the APS known numerically, we can make a quantitative (or semiquantitative) prediction of relative activities. The contributions of different conformations (of the same molecular system) that possess the Pha and different APS is taken into account by means of a Boltzmann distribution at given temperatures. Applied to an example, rice blast activity, this approach proved to be rather robust and efficient. In validation of the method, the screening of 39 new compounds yields approximately 100% (within experimental error) prediction probability of the activity qualitatively (yes, no), and with r2 = 0.66 quantitatively.

Drug Design↗