Endocrinology and Metabolism

Soyeon Yoo (Yoo S)

3 Articles

Clinical Study
Fasting and Postprandial Hyperglycemia: Their Predictors and Contributions to Overall Hyperglycemia in Korean Patients with Type 2 Diabetes: Jaecheol Moon, Ji Young Kim, Soyeon Yoo, Gwanpyo Koh; Endocrinol Metab. 2020;35(2):290-297. Published online June 24, 2020; DOI: https://doi.org/10.3803/EnM.2020.35.2.290

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Background
This study aimed to identify factors that affect fasting hyperglycemia (FHG) and postprandial hyperglycemia (PPG) and their contributions to overall hyperglycemia in Korean patients with type 2 diabetes mellitus (T2DM).
Methods
This was a retrospective study conducted on 194 Korean T2DM patients with 7-point self-monitoring blood glucose (SMBG) profiles plotted in 4 days in 3 consecutive months. We calculated the areas corresponding to FHG and PPG (area under the curve [AUC]_FHG and AUC_PPG) and contributions (%) in the graph of the 7-point SMBG data. The levels of glycated hemoglobin (HbA1c) were categorized by tertiles, and the contributions of FHG and PPG were compared.
Results
The relative contribution of FHG increased (44.7%±5.6%, 58.0%±4.4%, 66.5%±2.8%; PANOVA=0.002, PTREND <0.001), while that of PPG decreased (55.3%±5.5%, 42.0%±4.4%, 33.5%±2.8%; PANOVA=0.002, PTREND <0.001) with the elevated HbA1c. Multivariate analysis showed that HbA1c (β=0.615, P<0.001), waist circumference (β=0.216, P=0.042), and triglyceride (β=0.121, P=0.048) had a significant association with AUCFHG. Only HbA1c (β=0.231, P=0.002) and age (β=0.196, P=0.009) was significantly associated with AUC_PPG.
Conclusion
The data suggested that in Korean T2DM patients, FHG predominantly contributed to overall hyperglycemia at higher HbA1c levels, whereas it contributed to PPG at lower HbA1c levels. It is recommended that certain factors, namely age, degree of glycemic control, obesity, or triglyceride levels, should be considered when prescribing medications for T2DM patients.

Citations

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Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults
Tingting Li, Yang Xie, Shuman Tao, Liwei Zou, Yajuan Yang, Fangbiao Tao, Xiaoyan Wu
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Effects of mulberry twig alkaloids(Sangzhi alkaloids) and metformin on blood glucose fluctuations in combination with premixed insulin-treated patients with type 2 diabetes
Ziyu Meng, Chengye Xu, Haoling Liu, Xinyuan Gao, Xinyu Li, Wenjian Lin, Xuefei Ma, Changwei Yang, Ming Hao, Kangqi Zhao, Yuxin Hu, Yi Wang, Hongyu Kuang
Frontiers in Endocrinology.2023;[Epub] CrossRef
Evaluating Triglyceride and Glucose Index as a Simple and Easy-to-Calculate Marker for All-Cause and Cardiovascular Mortality
Kyung-Soo Kim, Sangmo Hong, You-Cheol Hwang, Hong-Yup Ahn, Cheol-Young Park
Journal of General Internal Medicine.2022; 37(16): 4153. CrossRef
A new approach for investigating the relative contribution of basal glucose and postprandial glucose to HbA1C
Jing Ma, Hua He, Xiaojie Yang, Dawei Chen, Cuixia Tan, Li Zhong, Qiling Du, Xiaohua Wu, Yunyi Gao, Guanjian Liu, Chun Wang, Xingwu Ran
Nutrition & Diabetes.2021;[Epub] CrossRef
The Clinical Characteristics of Gestational Diabetes Mellitus in Korea: A National Health Information Database Study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
Endocrinology and Metabolism.2021; 36(3): 628. CrossRef

Obesity and Metabolism
Factors Associated with Glycemic Variability in Patients with Type 2 Diabetes: Focus on Oral Hypoglycemic Agents and Cardiovascular Risk Factors: Soyeon Yoo, Sang-Ouk Chin, Sang-Ah Lee, Gwanpyo Koh; Endocrinol Metab. 2015;30(3):352-360. Published online August 4, 2015; DOI: https://doi.org/10.3803/EnM.2015.30.3.352

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47 Download
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Abstract PDF Supplementary Material PubReader

Background

The role of glycemic variability (GV) in development of cardiovascular diseases remains controversial, and factors that determine glucose fluctuation in patients with diabetes are unknown. We investigated relationships between GV indices, kinds of oral hypoglycemic agents (OHAs), and cardiovascular risk factors in patients with type 2 diabetes mellitus (T2DM).

Methods

We analyzed 209 patients with T2DM. The GV index (standard deviation [SD] and mean absolute glucose change [MAG]) were calculated from 7-point self-monitoring of blood glucose profiles. The patients were classified into four groups according to whether they take OHAs known as GV-lowering (A) and GV-increasing (B): 1 (A only), 2 (neither), 3 (both A and B), and 4 (B only). The 10-year risk for atherosclerotic cardiovascular disease (ASCVD) was calculated using the Pooled Cohort Equations.

Results

GV indices were significantly higher in patients taking sulfonylureas (SUs), but lower in those taking dipeptidyl peptidase-4 inhibitors. In hierarchical regression analysis, the use of SUs remained independent correlates of the SD (β=0.209, P=0.009) and MAG (β=0.214, P=0.011). In four OHA groups, GV indices increased progressively from group 1 to group 4. However, these did not differ according to quartiles of 10-year ASCVD risk.

Conclusion

GV indices correlated significantly with the use of OHAs, particularly SU, and differed significantly according to combination of OHAs. However, cardiovascular risk factors and 10-year ASCVD risk were not related to GV indices. These findings suggest that GV is largely determined by properties of OHAs and not to cardiovascular complications in patients with T2DM.

Citations

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Prognostic value of longitudinal HbA1c variability in predicting the development of diabetic sensorimotor polyneuropathy among patients with type 2 diabetes mellitus: A prospective cohort observational study
Yun‐Ru Lai, Wen‐Chan Chiu, Chih‐Cheng Huang, Ben‐Chung Cheng, I‐Hsun Yu, Chia‐Te Kung, Ting Yin Lin, Hui Ching Chiang, Chun‐En Aurea Kuo, Cheng‐Hsien Lu
Journal of Diabetes Investigation.2024; 15(3): 326. CrossRef
Influence of dipeptidyl peptidase-4 inhibitors on glycemic variability in patients with type 2 diabetes: A meta-analysis of randomized controlled trials
Shangyu Chai, Ruya Zhang, Ye Zhang, Richard David Carr, Yiman Zheng, Swapnil Rajpathak, Miao Yu
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Jin J. Zhou, Daniel S. Nuyujukian, Peter D. Reaven
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Abdul Hanif Khan Yusof Khan, Nor Fadhlina Zakaria, Muhammad Adil Zainal Abidin, Nor Azmi Kamaruddin
Medicine.2021; 100(30): e26729. CrossRef
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Xu Liu, Yang Liu, Hongzhong Liu, Haiyan Li, Jianhong Yang, Pei Hu, Xinhua Xiao, Dongyang Liu
Frontiers in Endocrinology.2021;[Epub] CrossRef
HbA 1C variability and hypoglycemia hospitalization in adults with type 1 and type 2 diabetes: A nested case-control study
Victor W. Zhong, Juhaeri Juhaeri, Stephen R. Cole, Christina M. Shay, Penny Gordon-Larsen, Evangelos Kontopantelis, Elizabeth J. Mayer-Davis
Journal of Diabetes and its Complications.2018; 32(2): 203. CrossRef
Glucose fluctuation and the resultant endothelial injury are correlated with pancreatic β cell dysfunction in patients with coronary artery disease
Makoto Murata, Hitoshi Adachi, Shigeru Oshima, Masahiko Kurabayashi
Diabetes Research and Clinical Practice.2017; 131: 107. CrossRef
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Xiao-Li Huang, Jian-Hua Pan, Dan Chen, Jing Chen, Fang Chen, Tao-Tao Hu
European Journal of Internal Medicine.2016; 27: 37. CrossRef

Obesity and Metabolism
Apolipoprotein B Is Related to Metabolic Syndrome Independently of Low Density Lipoprotein Cholesterol in Patients with Type 2 Diabetes: Younghyup Lim, Soyeon Yoo, Sang Ah Lee, Sang Ouk Chin, Dahee Heo, Jae Cheol Moon, Shinhang Moon, Kiyoung Boo, Seong Taeg Kim, Hye Mi Seo, Hyeyoung Jwa, Gwanpyo Koh; Endocrinol Metab. 2015;30(2):208-215. Published online June 30, 2015; DOI: https://doi.org/10.3803/EnM.2015.30.2.208

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46 Download
19 Web of Science
21 Crossref

Abstract PDF PubReader

Background

Increased low density lipoprotein cholesterol (LDL-C) level and the presence of metabolic syndrome (MetS) are important risk factors for cardiovascular disease (CVD) in type 2 diabetes mellitus (T2DM). Recent studies demonstrated apolipoprotein B (apoB), a protein mainly located in LDL-C, was an independent predictor of the development of CVD especially in patients with T2DM. The aim of this study was to investigate the relationship between apoB and MetS in T2DM patients.

Methods

We analyzed 912 patients with T2DM. Fasting blood samples were taken for glycated hemoglobin, high-sensitivity C-reactive protein, total cholesterol, triglyceride (TG), high density lipoprotein cholesterol, LDL-C, and apoB. MetS was defined by the modified National Cholesterol Education Program Adult Treatment Panel III criteria. We performed a hierarchical regression analysis with apoB as the dependent variable. Age, sex, the number of components of MetS and LDL-C were entered at model 1, the use of lipid-lowering medications at model 2, and the individual components of MetS were added at model 3.

Results

Seventy percent of total subjects had MetS. ApoB level was higher in subjects with than those without MetS (104.5±53.3 mg/dL vs. 87.7±33.7 mg/dL, P<0.01) even after adjusting for LDL-C. ApoB and LDL-C were positively correlated to the number of MetS components. The hierarchical regression analysis showed that the increasing number of MetS components was associated with higher level of apoB at step 1 and step 2 (β=0.120, P<0.001 and β=0.110, P<0.001, respectively). At step 3, TG (β=0.116, P<0.001) and systolic blood pressure (β=0.099, P<0.05) were found to significantly contribute to apoB.

Conclusion

In patients with T2DM, apoB is significantly related to MetS independently of LDL-C level. Of the components of MetS, TG, and systolic blood pressure appeared to be determinants of apoB.

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