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    Evaluation of the relationship between serum ghrelin levels and cancer cachexia in patients with locally advanced nonsmall-cell lung cancer treated with chemoradiotherapy
    (Wolters Kluwer Medknow Publications, 2020) Uysal, Pelin; Usul Afşar, Çiğdem; Sözer, Volkan; İnanç, Berrin; Ağaoğlu, Fulya; Güral, Zeynep; Uzun, Hafize; Fazlıoğlu, Nevin
    Background: Ghrelin plays a role in mechanisms related to cancer progression - including cell proliferation, invasion and migration, and resistance to apoptosis in the cell lines from several cancers. We investigated the role of ghrelin levels in cancer cachexia-anorexia in patients with locally advanced nonsmall-cell lung cancer (NSCLC) treated with chemoradiotherapy (CRT). Materials and Methods: This study involved 84 NSCLC patients who had received concomitant CRT. Blood ghrelin levels were compared before and 3 months after CRT. Meanwhile, changes in body weight of the patients were also investigated with changes in ghrelin levels before and after CRT. Results: Ghrelin levels were significantly decreased in line with changes in patients' weights in patients receiving CRT (P < 0.001). Serum albumin levels and inflammatory-nutritional index were significantly decreased after radiotherapy (RT) (3.01 ± 0.40 g/dL, 0.38 ± 0.20) when compared with its baseline levels (3.40 ± 0.55 g/dL,P < 0.001; 0.86 ± 0.71,P < 0.001, respectively). Serum C-reactive protein levels were significantly increased after CRT (7.49 ± 6.53 mg/L) when compared with its baseline levels (9.54 ± 3.80 mg/L,P = 0.038). After RT, ghrelin levels in patients were positively correlated with body mass index (r = 0.830,P < 0.001) and albumin (r = 0.758,P < 0.001). Conclusion: Ghrelin may play a role in the pathogenesis of weight loss in NSCLC patients. Ghrelin seems to be implicated in cancer-related weight loss. Ghrelin, cancer, and RT all together have a role in tumor-related anorexia-cachexia in patients with NSCLC. Results of this study need further evaluation as regards to its potential role as an adjuvant diagnostic or prognostic marker. © 2020 Wolters Kluwer Medknow Publications. All rights reserved.
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    Significance of Plasma Irisin, Adiponectin, and Retinol Binding Protein-4 Levels as Biomarkers for Obstructive Sleep Apnea Syndrome Severity
    (Mdpi, 2023) Fazlioglu, Nevin; Uysal, Pelin; Durmus, Sinem; Yurt, Sibel; Gelisgen, Remise; Uzun, Hafize
    Objective: Obstructive sleep apnea syndrome (OSAS) is a common sleep disorder that is caused by the reduction or cessation of airflow in the upper airway. Irisin, retinol-binding protein-4 (RBP-4), and adiponectin are the three significant factors in the metabolic process of the human body. The objective of this study was to investigate whether plasma irisin, RBP-4, and adiponectin levels are associated with the severity of OSAS. Methods: According to inclusion and exclusion criteria, 125 patients with OSAS and 46 healthy, gender-matched controls were included in this study. The patients were classified according to the apnea hypopnea index (AHI) as 14 mild cases (5 < AHI < 15), 23 moderate OSAS cases (15 < AHI < 30), and 88 severe OSAS cases (AHI > 30). The plasma irisin, RBP-4, and adiponectin levels were measured and compared between groups. Results: RBP-4 levels were higher in severe OSAS compared to other groups, and irisin levels were significantly lower in severe OSAS compared to other groups. There was a negative correlation between irisin and RBP-4 (r = -0.421; p < 0.001), and irisin and AHI (r = -0.834; p < 0.001), and a positive correlation between irisin and adiponectin (r = 0.240; p = 0.002). There was a negative correlation between RBP-4 and adiponectin (r = -0.507; p < 0.001) and a positive correlation between RBP-4 and AHI (r = 0.473; p < 0.001). As a predictor of OSAS, adiponectin showed the highest specificity (84.8%) and RBP-4 the highest sensitivity (92.0%). Conclusion: Circulating adiponectin, irisin, and RBP-4 may be new biomarkers in OSAS patients in addition to risk factors such as diabetes, obesity, and hypertension. When polysomnography is not available, these parameters and clinical data can be used to diagnose the disease. As a result, patients with an AHI score greater than thirty should be closely monitored for metabolic abnormalities.