Changes in ghrelin, GLP-1, and PYY levels after diet and exercise in obese individuals.

OBJECTIVE: Diet and exercise, which are the building blocks of obesity management, provide weight loss by creating a negative energy balance. However, the effect of energy deficit induced by long-term diet and exercise on appetite hormones remains unclear. The study was designed to determine the effect of a 12-week diet and exercise program applied to obese individuals on the levels of appetite hormones, namely, ghrelin, GLP-1, and PYY. METHODS: A total of 62 obese individuals (BMI≥30) and 48 healthy controls (BMI 18.50-29.99) participated in the study. Appropriate diet (1000-1500 kcal/day) and exercise (at least 5000 steps/day) programs were applied to obese individuals according to age, gender, and BMI. The ghrelin, GLP-1, and PYY values of the participants were analyzed by the ELISA method and commercial kit by taking venous blood samples before and after 12 weeks of treatment. RESULTS: While ghrelin levels of individuals decreased significantly after diet and exercise, PYY levels increased significantly. However, despite the treatment applied, the GLP-1 and PYY levels of the case group did not reach the levels of the control group. CONCLUSION: Long-term diet and exercise intervention had a positive effect on appetite regulation hormones. It reduced ghrelin levels after treatment. Associated weight loss was facilitated. In the case group, increased satiety hormones after combined treatment supported the maintenance of body weight by increasing satiety.

Differences in the levels of the appetite peptides ghrelin, peptide tyrosine tyrosine, and glucagon-like peptide-1 between obesity classes and lean controls.

OBJECTIVE: This study was designed to compare basal concentrations of the gastrointestinal appetite modulators ghrelin, peptide tyrosine tyrosine (PYY), and glucagon-like peptide 1 (GLP-1) between obesity classes and obesity classes and controls. METHODS: The study included 49 healthy controls with body mass index (BMI) between 18.5 and 29.9 kg/m² and 62 individuals with obesity with BMI ≥30 kg/m². Basal ghrelin, PYY, and GLP-1 concentrations of the samples were analyzed by an enzyme-linked immunosorbent assay commercial kit (SunRed Human). Other biochemical parameters were measured by a clinical chemistry autoanalyzer (Beckman Coulter AU 5800) in the biochemistry laboratory. RESULTS: Compared with the control group, ghrelin, PYY, and GLP-1 levels were significantly lower in the obese group (P < .05). The PYY concentration was significantly different between obese groups (P < .05). The PYY and GLP-1 levels were significantly different between obesity class I and obesity class III. In addition, ghrelin levels were significantly different between obesity class II and obesity class III. Correlation analysis revealed a negative correlation between BMI and serum ghrelin, GLP-1, and PYY concentrations. CONCLUSION: Low basal ghrelin, GLP-1, and PYY hormones in the obese group compared with the control group indicate impaired appetite regulation in this population. The significant difference in PYY levels between obese groups was associated with increasing obesity grade.

Evaluation of the analytical performances of Cobas 6500 and Sysmex UN series automated urinalysis systems with manual microscopic particle counting.

INTRODUCTION: Automated urinalysis systems are valuable tools in clinical laboratories, especially those with a high work load. The objective of this study was to compare the analytical performance of Sysmex UN series urine analyser, which may become a new one in our laboratory, with the Cobas 6500 automated urine analyser, which is used in our laboratory for a long time. For comparisons, manual microscopical examination was accepted as reference method. MATERIALS AND METHODS: A total of 470 urine samples were tested in the two automated urinalysis systems, and urine sediment testing with manual microscopy was applied to a 100 pathological samples of the total 470. The diagnostic performance of the two automated urine analysers was compared with each other and manual microscopy. RESULTS: Differences were determined between automated and manual microscopy in some pathological samples. The resultant regression equations were as follows. Comparison of Cobas U701 with Sysmex UF-5000: y = - 0.57 (- 0.85 to - 0.29) + 0.95 (0.92 to 0.99) x for RBC, and y = - 0.11 (- 0.54 to 0.29) + 0.89 (0.84 to 0.98) x for WBC; comparison of Cobas U701 with manual microscopy: y = - 0.45 (- 0.85 to 0.21) + 1.00 (0.92 to 1.07) x for WBC; and comparison of Sysmex UF-5000 with manual microscopy: y = - 0.74 (- 1.09 to - 0.57) + 0.87 (0.85 to 0.91) x for WBC. CONCLUSIONS: We can conclude that the new Sysmex UN series urine analyser can be safely used in our laboratory. Although the results showed good to moderate concordance, the microscopy results of the automated platforms should be confirmed by manual microscopy, particularly in pathological samples.

A reference interval study for common biochemical analytes in Eastern Turkey: a comparison of a reference population with laboratory data mining.

INTRODUCTION: The aim of this study was to define the reference intervals (RIs) in a Turkish population living in Northeast Turkey (Erzurum) for 34 analytes using direct and indirect methods. In the present study, the regional RIs obtained were compared with other RI studies, primarily the nationwide study performed in Turkey. MATERIALS AND METHODS: For the direct method, 435 blood samples were collected from a healthy group of females (N = 218) and males (N = 217) aged between 18 and 65 years. The sera were analysed in Ataturk University hospital laboratory using Roche reagents and analysers for 34 analytes. The data from 1,366,948 records were used to calculate the indirect RIs using a modified Bhattacharya method. RESULTS: Significant gender-related differences were observed for 17 analytes. There were also some apparent differences between RIs derived from indirect and direct methods particularly in some analytes (e.g. gamma-glutamyltransferase, creatine kinase, LDL-cholesterol and iron). The RIs derived with the direct method for some, but not all, of the analytes were generally comparable with the RIs reported in the nationwide study and other previous studies in Turkey.There were large differences between RIs derived by the direct method and the expected values shown in the kit insert (e.g. aspartate aminotransferase, total-cholesterol, HDL-cholesterol, and vitamin B12). CONCLUSIONS: These data provide region-specific RIs for 34 analytes determined by the direct and indirect methods. The observed differences in RIs between previous studies could be related to nutritional status and environmental factors.