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Abstract
OBJECTIVE This study aimed to compare serum uric acid levels in normal-weight peers and morbidly obese patients. Our second objective is to evaluate whether hyperuricemia is associated with metabolic syndrome components in morbidly obese patients. METHODS Fifty morbidly obese patients (40 males and 10 females) and 50 control groups (37 males and 13 females) were included in the study. Their baseline clinical characteristics and laboratory data were recorded and compared. Kolmogorov-Smirnov test was used to examine the normality of variables. Data were compared using univariate tests including independent samples t-test, Mann-Whitney U test, and chi-square test. RESULTS Compared to control group CRP, uric acid, urea, fasting plasma glucose, triglyceride, ALT, and AST were significantly higher in morbidly obese patients. HDL-cholesterol and GFR were significantly lower in morbidly obese patients. There were no significant differences in creatinine, LDL-cholesterol, and total cholesterol levels between two groups. CONCLUSION Laboratory parameters, especially serum uric acid levels, were found to be higher in morbidly obese patients compared to the control group.
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Affiliation(s)
- Mehmet İnanir
- Department of Cardiology, Abant Izzet Baysal Universitesi, Bolu, Turkey
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Fabiani S, Fallahi P, Ferrari SM, Miccoli M, Antonelli A. Hepatitis C virus infection and development of type 2 diabetes mellitus: Systematic review and meta-analysis of the literature. Rev Endocr Metab Disord 2018; 19:405-420. [PMID: 29322398 DOI: 10.1007/s11154-017-9440-1] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Type 2 diabetes mellitus (T2DM) is an endocrine disorder encompassing multifactorial mechanisms, and chronic hepatitis C virus infection (CHC) is a multifaceted disorder, associated with extrahepatic manifestations, including endocrinological disorders. CHC and T2DM are associated, but the subject remains controversial. We performed a systematic review and meta-analysis evaluating such association, searching on PubMed until February 29, 2016. Inclusion criteria were: 1) presence of at least one internal control group age- and gender-matched (non-hepatopathic controls; and/or hepatopathic, not HCV-positive, controls); 2) sufficient data to calculate odds ratio and relative risk. Exclusion criteria were: 1) literature reviews on the topic; 2) publications regarding special populations [human immunodeficiency virus and human T-lymphotropic virus-1 coinfections, hepatocellular carcinoma (HCC), post-transplantation DM, gender selection]; 3) no clear differentiation among HCV patients with CHC, cirrhosis or HCC. Data from each study were independently extracted by two reviewers and cross-checked by AA. Our systematic review returned 544 records, and 33 were included in our meta-analysis. HCV infection is associated with an increased risk of T2DM independently from the severity of the associated liver disease, in CHC and cirrhotic HCV patients. As expected T2DM risk is higher in cirrhotic HCV patients, than CHC, and the prevalence of HCV infection in T2DM patients is higher than in non-diabetic controls. Regarding HBV infection prevalence, no difference exists in diabetic and non-diabetic subjects. An unequivocal CHC and T2DM association was shown. A proactive, integrated approach to HCV and T2DM therapies should maximize benefits of both diseases treatment.
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Affiliation(s)
- Silvia Fabiani
- Department of Clinical and Experimental Medicine, School of Medicine, University of Pisa, Via Savi 10, I-56126, Pisa, Italy
| | - Poupak Fallahi
- Department of Clinical and Experimental Medicine, School of Medicine, University of Pisa, Via Savi 10, I-56126, Pisa, Italy
| | - Silvia Martina Ferrari
- Department of Clinical and Experimental Medicine, School of Medicine, University of Pisa, Via Savi 10, I-56126, Pisa, Italy
| | - Mario Miccoli
- Department of Clinical and Experimental Medicine, School of Medicine, University of Pisa, Via Savi 10, I-56126, Pisa, Italy
| | - Alessandro Antonelli
- Department of Clinical and Experimental Medicine, School of Medicine, University of Pisa, Via Savi 10, I-56126, Pisa, Italy.
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Altieri B, Barrea L, Modica R, Muscogiuri G, Savastano S, Colao A, Faggiano A. Nutrition and neuroendocrine tumors: An update of the literature. Rev Endocr Metab Disord 2018; 19:159-167. [PMID: 30267297 DOI: 10.1007/s11154-018-9466-z] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Neuroendocrine tumors (NETs) are a heterogeneous group of neoplasms with worldwide increasing incidence, high prevalence and survival. Both the tumor itself and the systemic therapy may have an impact on patients' nutrition. Malnutrition negatively impacts on outcome in NETs patients. Moreover, it has been demonstrated that body mass index was a risk factor for NET development and that metabolic syndrome was associated with worse prognosis in these patients. Of note, food could also interact with the metabolism of oral target therapy and antineoplastic agents used for the treatment of progressive NETs. Therefore, the nutritional assessment, based on body composition, and lifestyle modifications should be an integral component of management of the NET patients. The nutrition care plans are an integral part of the multidisciplinary management team for patients with NETs. Nutritionists with expertise in NETs can provide dietary approaches to improve the quality of life and nutritional status during various therapeutic modalities used in patients with NETs. The aim of this review is to critically discuss the importance of nutrition and body composition in patients with NETs.
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Affiliation(s)
- Barbara Altieri
- Department of Clinical Medicine and Surgery, Federico II University, Via Sergio Pansini 5, 82121, Naples, Italy
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Wuerzburg, Wuerzburg, Germany
| | - Luigi Barrea
- Department of Clinical Medicine and Surgery, Federico II University, Via Sergio Pansini 5, 82121, Naples, Italy
| | - Roberta Modica
- Department of Clinical Medicine and Surgery, Federico II University, Via Sergio Pansini 5, 82121, Naples, Italy
| | - Giovanna Muscogiuri
- Department of Clinical Medicine and Surgery, Federico II University, Via Sergio Pansini 5, 82121, Naples, Italy
| | - Silvia Savastano
- Department of Clinical Medicine and Surgery, Federico II University, Via Sergio Pansini 5, 82121, Naples, Italy
| | - Annamaria Colao
- Department of Clinical Medicine and Surgery, Federico II University, Via Sergio Pansini 5, 82121, Naples, Italy
| | - Antongiulio Faggiano
- Department of Clinical Medicine and Surgery, Federico II University, Via Sergio Pansini 5, 82121, Naples, Italy.
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Calculating the Mean Amplitude of Glycemic Excursions from Continuous Glucose Data Using an Open-Code Programmable Algorithm Based on the Integer Nonlinear Method. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2018; 2018:6286893. [PMID: 29707038 PMCID: PMC5863323 DOI: 10.1155/2018/6286893] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 01/18/2018] [Accepted: 02/07/2018] [Indexed: 12/03/2022]
Abstract
The mean amplitude of glycemic excursions (MAGE) is an essential index for glycemic variability assessment, which is treated as a key reference for blood glucose controlling at clinic. However, the traditional “ruler and pencil” manual method for the calculation of MAGE is time-consuming and prone to error due to the huge data size, making the development of robust computer-aided program an urgent requirement. Although several software products are available instead of manual calculation, poor agreement among them is reported. Therefore, more studies are required in this field. In this paper, we developed a mathematical algorithm based on integer nonlinear programming. Following the proposed mathematical method, an open-code computer program named MAGECAA v1.0 was developed and validated. The results of the statistical analysis indicated that the developed program was robust compared to the manual method. The agreement among the developed program and currently available popular software is satisfied, indicating that the worry about the disagreement among different software products is not necessary. The open-code programmable algorithm is an extra resource for those peers who are interested in the related study on methodology in the future.
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Jiang G, Ma Y, An T, Pan Y, Mo F, Zhao D, Liu Y, Miao JN, Gu YJ, Wang Y, Gao SH. Relationships of circular RNA with diabetes and depression. Sci Rep 2017; 7:7285. [PMID: 28779132 PMCID: PMC5544722 DOI: 10.1038/s41598-017-07931-0] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 07/05/2017] [Indexed: 12/17/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is closely related to depression; however, the exact molecular mechnisms of this association are unknown. Here, we investigated whether circular RNAs (circRNAs) in the blood are related to the occurrence of depression in patients with T2DM. Fourteen patients with T2DM and depressive symptoms, as assessed by the Self-Rating Depression Scale, were included in this study. Cutoff points of 44 (total coarse points) and 55 (standard score) were used to define depression. The Patient Health Questionnaire 9 was used for common mental disorders, and a score of 5 or more the cutoff for depression. Microarray assays and quantitative real-time reverse transcription polymerase chain reaction showed that 183 hsa-circRNAs were significantly upregulated, whereas 64 were downregulated in the T2DM with depression group (p < 0.05) compared with that in the T2DM group. Differentially expressed hsa-circRNAs could interact with microRNAs to target mRNA expression. KEGG pathway analysis predicted that upregulation of hsa-circRNA_003251, hsa-circRNA_015115, hsa-circRNA_100918, and hsa_circRNA_001520 may participate in the thyroid hormone, Wnt, ErbB, and mitogen-activated protein kinase signalling pathways. We speculate that differentially expressed hsa-circRNAs could help us to clarify the pathogenesis of depression in patients with T2DM and could represent novel molecular targets for clinical diagnosis and therapy.
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Affiliation(s)
- Guangjian Jiang
- Diabetes Research Center, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Yue Ma
- Diabetes Research Center, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Tian An
- Diabetes Research Center, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Yanyun Pan
- Diabetes Research Center, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Fangfang Mo
- Diabetes Research Center, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Dandan Zhao
- Diabetes Research Center, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Yufei Liu
- Beijing University of Chinese Medicine Third Affiliated Hosiptal, Beijing, 100029, China
| | - Jia-Nan Miao
- Diabetes Research Center, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Yu-Jie Gu
- Diabetes Research Center, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Yangang Wang
- Hebei Provincial Hospital of Traditional Chinese Medicine, Shi Jia Zhuang, 050011, China.
| | - Si-Hua Gao
- Diabetes Research Center, Beijing University of Chinese Medicine, Beijing, 100029, China.
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