- Adrenal gland
- Using Growth Hormone Levels to Detect Macroadenoma in Patients with Acromegaly
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Ji Young Park, Jae Hyeon Kim, Sun Wook Kim, Jae Hoon Chung, Yong-Ki Min, Myung-Shik Lee, Moon-Kyu Lee, Kwang-Won Kim
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Endocrinol Metab. 2014;29(4):450-456. Published online December 29, 2014
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DOI: https://doi.org/10.3803/EnM.2014.29.4.450
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- Background
The aim of this study was to assess the clinical differences between acromegalic patients with microadenoma and patients with macroadenoma, and to evaluate the predictive value of growth hormone (GH) levels for early detection of macroadenoma. MethodsWe performed a retrospective analysis of 215 patients diagnosed with a GH-secreting pituitary adenoma. The patients were divided into two groups: the microadenoma group and the macroadenoma group, and the clinical parameters were compared between these two groups. The most sensitive and specific GH values for predicting macroadenoma were selected using receiver operating characteristic (ROC) curves. ResultsCompared with the microadenoma group, the macroadenoma group had a significantly younger age, higher body mass index, higher prevalence of hyperprolactinemia and hypogonadism, and a lower proportion of positive suppression to octreotide. However, there were no significant differences in the gender or in the prevalence of diabetes between the two groups. The tumor diameter was positively correlated with all GH values during the oral glucose tolerance test (OGTT). All GH values were significantly higher in the macroadenoma group than the microadenoma group. Cut-off values for GH levels at 0, 30, 60, 90, and 120 minutes for optimal discrimination between macroadenoma and microadenoma were 5.6, 5.7, 6.3, 6.0, and 5.8 ng/mL, respectively. ROC curve analysis revealed that the GH value at 30 minutes had the highest area under the curve. ConclusionThe GH level of 5.7 ng/mL or higher at 30 minutes during OGTT could provide sufficient information to detect macroadenoma at the time of diagnosis.
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Citations
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- Sex differences in acromegaly at diagnosis: A nationwide cohort study and meta‐analysis of the literature
Jakob Dal, Benedikte G. Skov, Marianne Andersen, Ulla Feldt‐Rasmussen, Claus L. Feltoft, Jesper Karmisholt, Eigil H. Nielsen, Olaf M. Dekkers, Jens Otto L. Jørgensen Clinical Endocrinology.2021; 94(4): 625. CrossRef - Pretreatment serum GH levels and cardio-metabolic comorbidities in acromegaly; analysis of data from Iran Pituitary Tumor Registry
Leila Hedayati Zafarghandi, Mohammad Ebrahim Khamseh, Milad Fooladgar, Shahrzad Mohseni, Mostafa Qorbani, Nahid Hashemi Madani, Mahboobeh Hemmatabadi, MohammadReza Mohajeri-Tehrani, Nooshin Shirzad Journal of Diabetes & Metabolic Disorders.2020; 19(1): 319. CrossRef - Increased serum nesfatin-1 levels in patients with acromegaly
Yakun Yang, Song Han, Zuocheng Yang, Pengfei Wang, Chang-Xiang Yan, Ning Liu Medicine.2020; 99(40): e22432. CrossRef - Articles in 'Endocrinology and Metabolism' in 2014
Won-Young Lee Endocrinology and Metabolism.2015; 30(1): 47. CrossRef
- Obesity and Metabolism
- Association between Serum Albumin, Insulin Resistance, and Incident Diabetes in Nondiabetic Subjects
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Ji Cheol Bae, Sung Hwan Seo, Kyu Yeon Hur, Jae Hyeon Kim, Myung-Shik Lee, Moon Kyu Lee, Won Young Lee, Eun Jung Rhee, Ki Won Oh
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Endocrinol Metab. 2013;28(1):26-32. Published online March 25, 2013
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DOI: https://doi.org/10.3803/EnM.2013.28.1.26
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- Background
Serum albumin has been suggested to be associated with insulin resistance. We evaluated the association between serum albumin concentration and insulin resistance. We also investigated whether serum albumin level has an independent effect on the development of diabetes. MethodsIn our study, 9,029 subjects without diabetes, who underwent comprehensive health check-ups annually for 5 years, were categorized into tertiles based on their serum albumin levels at baseline. The odds ratio (OR) for the prevalence of insulin resistance, defined as the top quartile of homeostasis model assessment of insulin resistance and the presence of impaired fasting glucose and nonalcoholic fatty liver disease, was evaluated cross-sectionally. Also, the hazard ratio (HR) for incident diabetes was estimated longitudinally, according to the baseline albumin tertiles using Cox proportional hazard analysis respectively. ResultsFrom the lowest to the highest tertile of albumin, the multivariable-adjusted ORs of insulin resistance increased significantly in both men and women. During the mean follow-up period of nearly 4 years, 556 (6.1%) subjects progressed to diabetes. The multivariable-adjusted HR (95% confidence interval [CI]) of diabetes in men were 1, 1.09 (95% CI, 0.86 to 1.40), and 1.10 (95% CI, 0.86 to 1.41), respectively, from the lowest to the highest tertiles of baseline albumin. Corresponding values for women were 1, 1.21 (95% CI, 0.66 to 2.21), and 1.06 (95% CI, 0.56 to 2.02), respectively. ConclusionOur study showed that increased serum albumin level was associated with insulin resistance. However, serum albumin did not have an independent effect on the development of diabetes.
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- Obesity and Metabolism
- Role of Autophagy in the Control of Body Metabolism
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Wenying Quan, Myung-Shik Lee
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Endocrinol Metab. 2013;28(1):6-11. Published online March 25, 2013
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DOI: https://doi.org/10.3803/EnM.2013.28.1.6
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Autophagy plays a crucial role in the maintenance of cellular nutrient balance and the function of organelles such as mitochondria or the endoplasmic reticulum, which are important in intracellular metabolism, insulin release, and insulin sensitivity. In the insulin-producing pancreatic β-cells, autophagy is important in the maintenance of β-cell mass, structure, and function. Mice with deficiencies in β-cell-specific autophagy show reduced β-cell mass and defects in insulin secretion that lead to hypoinsulinemia and hyperglycemia but not diabetes. However, these mice developed diabetes when bred with ob/ob mice, suggesting that autophagy-deficient β-cells have defects in dealing with the increased metabolic stress imposed by obesity. These results also imply that autophagy deficiency in β-cells could be a factor in the progression from obesity to diabetes. Another important function of autophagy is in hypothalamic neurons for the central control of energy expenditure, appetite, and body weight. In addition, mice with autophagy deficiencies in the target tissues of insulin have yielded diverse phenotypes. Taken together, these results suggest that autophagy is important in the control of whole body energy and nutrient homeostasis, and its dysregulation could play a role in the development of metabolic disorders and diabetes.
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