Person:
ŞAHBAZ, ÇIĞDEM DILEK

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ÇIĞDEM DILEK
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ŞAHBAZ
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Start date: 2020 × End date: 2021 ×

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Now showing 1 - 5 of 5
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    Reduced regulatory T cells with increased proinflammatory response in patients with schizophrenia
    (2020-06-01T00:00:00Z) Sahbaz, Cigdem; Zibandey, Noushin; KURTULMUŞ, AYŞE; Duran, Yazgul; Gokalp, Muazzez; KIRPINAR, İSMET; ŞAHİN, FİKRETTİN; Guloksuz, Sinan; AKKOÇ, TUNÇ; ŞAHBAZ, ÇIĞDEM DILEK; KURTULMUŞ, AYŞE; KIRPINAR, İSMET
    Aim To investigate whether circulating T cells including regulatory T cells (Treg) and derived cytokines contribute to the immune imbalance observed in schizophrenia. Methods Forty patients with schizophrenia and 40 age, sex, body mass index, education, and smoking status-matched healthy controls (HC) are included in the study. We stained cells with anti-CD14, anti-CD3, anti-CD4, anti-CD8, anti-CD19, anti-CD20, and anti-CD16/56. Peripheral blood mononuclear cells (PBMCs) were isolated and stained with the human FoxP3 kit containing anti-CD4/anti-CD25 and intracellular anti-Foxp3. PBMCs were cultured for 72 h and stimulated with anti-CD3/anti-CD28. Cytokines (IL-2, IL-4, IL-6, IL-10, IFN-gamma, TNF-alpha, and IL-17A) were measured from the culture supernatant and plasma using the Th1/Th2/Th17 cytokine bead array kit. Results In comparison with HC, Treg percentages in schizophrenia were higher (1.17 +/- 0.63 vs 0.81 +/- 0.53, P = 0.005) in unstimulated but lower in the stimulated condition (0.73 +/- 0.69 vs 0.97 +/- 0.55, P = 0.011). Activated T cell percentages were higher in schizophrenia than HC in unstimulated (2.22 +/- 0.78 vs 1.64 +/- 0.89, P = 0.001) and stimulated (2.25 +/- 1.01 vs 1.72 +/- 1.00, P = 0.010) conditions. The culture supernatant levels of IL-6 (7505.17 +/- 5170.07 vs 1787.81 +/- 1363.32, P < 0.001), IL-17A (191.73 +/- 212.49 vs 46.43 +/- 23.99, P < 0.001), TNF-alpha (1557 +/- 1059.69 vs 426.57 +/- 174.62, P = 0.023), and IFN-gamma (3204.13 +/- 1397.06 vs 447.79 +/- 270.13, P < 0.001); and plasma levels of IL-6 (3.83 +/- 3.41vs 1.89 +/- 1.14, P = 0.003) and IL-17A (1.20 +/- 0.84 vs 0.83 +/- 0.53, P = 0.033) were higher in patients with schizophrenia than HC. Conclusion Our explorative study shows reduced level of Foxp3 expressing Treg in a stimulated condition with induced levels of proinflammatory cytokines in patients with schizophrenia.
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    PublicationOpen Access
    Chronotype anc Sleep Quality Assessment of Patients with Polycystic Ovary Syndrome
    (2021-01-01T00:00:00Z) GÖKMEN KARASU, AYŞE FİLİZ; Sahbaz, Cigdem Dilek; Dogu, Zeynep Filiz Eren; TAKMAZ, TAHA; ÇALI, HALİME; Tanoglu, Basak; GÖKMEN KARASU, AYŞE FİLİZ; ŞAHBAZ, ÇIĞDEM DILEK; TAKMAZ, TAHA; ÇALI, HALİME
    Aim: Polycystic Ovary Syndrome (PCOS) is the most common endocrine disorder among women during the reproductive ages. The purpose of this study was to investigate the chronotype and sleep quality of PCOS patients.
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    PublicationOpen Access
    Chronotype and Sleep Quality in Patients with Inflammatory Bowel Disease
    (2020-01-01T00:00:00Z) Keskin, Elmas; Sahbaz, Cigdem Dilek; BİBERCİ KESKİN, ELMAS; ŞAHBAZ, ÇIĞDEM DILEK
    Aim: Chronotype and sleep disturbance are both considered risk factors for chronic autoimmune diseases. However, there is lack of knowledge with respect to chronic inflammatory bowel disease and chronotype patterns. Therefore, we investigated the chronotype and sleep quality in patients with ulcerative colitis and Crohn-s disease.
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    Are chronotype and subjective sleep quality associated with preeclampsia and preterm birth?
    (2020-02-20T04:00:00Z) TAKMAZ, TAHA; Unal, Busra; ÖZCAN, Pınar; ARICI HALICI, BELFİN NUR; Gorchiyeva, Irana; GÖKMEN KARASU, AYŞE FİLİZ; Sahbaz, Cigdem; TAKMAZ, TAHA; ÖZCAN, PINAR; ARICI HALICI, BELFİN NUR; GÖKMEN KARASU, AYŞE FİLİZ; ŞAHBAZ, ÇIĞDEM DILEK
    The physiological and physical changes in pregnancy affect the sleep-wake cycle. Limited data exist to evaluate the effect of sleep quality and chronotype during pregnancy on adverse pregnancy outcomes. It is hypothesized that there could be a tendency for the evening chronotype and sleep disturbances to lead to the development of preeclampsia and preterm birth. A total of 313 pregnant women were included. Women were divided into three groups: Group A (control - problem-free), Group B (preeclampsia) and Group C (preterm birth). There were significant differences in the mean PSQI score between the groups (A vs C and A vs B) (p < 0.01). Women in the preterm and the preeclampsia groups reported significantly worse sleep quality. There was a significant difference in the mean MEQ scores between groups (A vs C and A vs B) (p < 0.01). The ratio of the evening-types was significantly higher for the preterm and preeclampsia groups (p < 0.01). Multivariate logistic regression analysis revealed that there is a negative association between preeclampsia/preterm birth and MEQ score, positive association between preeclampsia/preterm birth and PSQI score. Chronotype and sleep quality measurements could provide a simple and feasible way in the prediction of adverse pregnancy outcomes.
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    PublicationOpen Access
    Clinical evaluation of biological rhythm domains in patients with major depression
    (2020-05-01T00:00:00Z) Ozcelik, Mine; Sahbaz, Cigdem; ŞAHBAZ, ÇIĞDEM DILEK
    Objective: Sleep, physical activity, and social domains of biological rhythm disruptions may have specific effects on the symptom cluster and severity of depression. However, there is a lack of structured clinical evaluation to specify the domains of biological rhythms in patients with depression. Methods: Ninety drug-naïve subjects with depression and 91 matched healthy controls were recruited for the study. The severity of depression was examined with the Hamilton Rating Scale for Depression (HRSD), while biological rhythm was evaluated using the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN). Results: Patients with depression showed significantly greater biological rhythm disturbances than healthy controls in all domains of BRIAN (sleep, activity, social, and eating). BRIAN-Total correlated positively with HRSD-Total and HRSD-Total without sleep cluster. The sleep and activity domains correlated significantly with HRSD-Total score. Additionally, the sleep, activity, and social domains correlated significantly with HRSD-Total without the sleep cluster score. Regression analysis revealed the activity (β = 0.476, t = 5.07, p<0.001) and sleep (β = 0.209, t = 2.056, p = 0.043) domains may predict HRSD-Total score.