Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
8 "Bo Hyun Kim"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Lifesytle
Combined Aerobic and Resistance Exercise Training Reduces Circulating Apolipoprotein J Levels and Improves Insulin Resistance in Postmenopausal Diabetic Women
Yun Kyung Jeon, Sang Soo Kim, Jong Ho Kim, Hyun Jeong Kim, Hyun Jun Kim, Jang Jun Park, Yuen Suk Cho, So Hee Joung, Ji Ryang Kim, Bo Hyun Kim, Sang Heon Song, In Joo Kim, Yong Ki Kim, Young-Bum Kim
Diabetes Metab J. 2020;44(1):103-112.   Published online February 21, 2020
DOI: https://doi.org/10.4093/dmj.2018.0160
  • 8,745 View
  • 156 Download
  • 13 Web of Science
  • 13 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Circulating apolipoprotein J (ApoJ) is closely associated with insulin resistance; however, the effect of exercise on circulating ApoJ levels and the association of ApoJ with metabolic indices remain unknown. Here, we investigated whether a combined exercise can alter the circulating ApoJ level, and whether these changes are associated with metabolic indices in patients with type 2 diabetes mellitus.

Methods

Postmenopausal women with type 2 diabetes mellitus were randomly assigned into either an exercise (EXE, n=30) or control (CON, n=15) group. Participants in the EXE group were enrolled in a 12-week program consisting of a combination of aerobic and resistance exercises. At baseline, 4, 8, and 12 weeks, body composition and metabolic parameters including homeostatic model assessment of insulin resistance (HOMA-IR) and serum ApoJ levels were assessed.

Results

In the EXE group, ApoJ levels decreased 26.3% and 19.4%, relative to baseline, at 8 and 12 weeks, respectively. Between-group differences were significant at 8 and 12 weeks (P<0.05 and P<0.001, respectively). In the EXE group, 12 weeks of exercise resulted in significant decreases in body weight, percent body fat, and HOMA-IR indices. Concurrently, weight-adjusted appendicular skeletal muscle mass (ASM/wt) was increased in the EXE group compared with the CON group. Importantly, changes in the ApoJ level were significantly correlated with changes in ASM/wt.

Conclusion

Exercise training resulted in a significant decrease in the circulating ApoJ level, with changes in ApoJ associated with an improvement in some insulin resistance indices. These data suggest that circulating ApoJ may be a useful metabolic marker for assessing the effects of exercise on insulin resistance.

Citations

Citations to this article as recorded by  
  • The function of previously unappreciated exerkines secreted by muscle in regulation of neurodegenerative diseases
    Xuepeng Bian, Qian Wang, Yibing Wang, Shujie Lou
    Frontiers in Molecular Neuroscience.2024;[Epub]     CrossRef
  • A randomized controlled trial of an app-based intervention on physical activity and glycemic control in people with type 2 diabetes
    Gyuri Kim, Seohyun Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
    BMC Medicine.2024;[Epub]     CrossRef
  • Exercise modalities for type 2 diabetes: A systematic review and network meta‐analysis of randomized trials
    Liangying Hou, Qi Wang, Bei Pan, Rui Li, Yanfei Li, Juanjuan He, Tianzhu Qin, Liujiao Cao, Na Zhang, Changhao Cao, Long Ge, Kehu Yang
    Diabetes/Metabolism Research and Reviews.2023;[Epub]     CrossRef
  • Estimating the Effect of Aerobic Exercise Training on Novel Lipid Biomarkers: A Systematic Review and Multivariate Meta-Analysis of Randomized Controlled Trials
    Gina Wood, Emily Taylor, Vanessa Ng, Anna Murrell, Aditya Patil, Tom van der Touw, Mitch Wolden, Nick Andronicos, Neil A. Smart
    Sports Medicine.2023; 53(4): 871.     CrossRef
  • 2023 update on Italian guidelines for the treatment of type 2 diabetes
    Edoardo Mannucci, Riccardo Candido, Lina delle Monache, Marco Gallo, Andrea Giaccari, Maria Luisa Masini, Angela Mazzone, Gerardo Medea, Basilio Pintaudi, Giovanni Targher, Marina Trento, Giuseppe Turchetti, Valentina Lorenzoni, Matteo Monami
    Acta Diabetologica.2023; 60(8): 1119.     CrossRef
  • The Effect of Eight Weeks of Concurrent Training on Serum Levels of Paraxonase-1, Irisin, Lipid Profile, and Insulin Resistance in Men With Metabolic Syndrome
    Seyed Amir Hosain Diba Hosaini, Morvarid Vafaee, Bahram Abedi
    Hormozgan Medical Journal.2023; 27(1): 43.     CrossRef
  • An Overview of the TRP-Oxidative Stress Axis in Metabolic Syndrome: Insights for Novel Therapeutic Approaches
    Mizael C. Araújo, Suzany H. S. Soczek, Jaqueline P. Pontes, Leonardo A. C. Marques, Gabriela S. Santos, Gisele Simão, Laryssa R. Bueno, Daniele Maria-Ferreira, Marcelo N. Muscará, Elizabeth S. Fernandes
    Cells.2022; 11(8): 1292.     CrossRef
  • Effect of Yijinjing combined with elastic band exercise on muscle mass and function in middle-aged and elderly patients with prediabetes: A randomized controlled trial
    Yunda Huang, Junhua Han, Qing Gu, Yanwei Cai, Jingyuan Li, Shasha Wang, Suijun Wang, Ru Wang, Xiangyun Liu
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Effect of combined aerobic and resistance exercise on blood pressure in postmenopausal women: A systematic review and meta-analysis of randomized controlled trials
    Huihui Xi, Yayu He, Yirou Niu, Xin Sui, Jun Zhang, Ruiting Zhu, Haiyan Xu, Shuang Zhang, Yang Li, Yuan Yuan, Lirong Guo
    Experimental Gerontology.2021; 155: 111560.     CrossRef
  • Effects of Augmented-Reality-Based Exercise on Muscle Parameters, Physical Performance, and Exercise Self-Efficacy for Older Adults
    Sangwan Jeon, Jiyoun Kim
    International Journal of Environmental Research and Public Health.2020; 17(9): 3260.     CrossRef
  • Apolipoprotein J is a hepatokine regulating muscle glucose metabolism and insulin sensitivity
    Ji A Seo, Min-Cheol Kang, Won-Mo Yang, Won Min Hwang, Sang Soo Kim, Soo Hyun Hong, Jee-In Heo, Achana Vijyakumar, Leandro Pereira de Moura, Aykut Uner, Hu Huang, Seung Hwan Lee, Inês S. Lima, Kyong Soo Park, Min Seon Kim, Yossi Dagon, Thomas E. Willnow, V
    Nature Communications.2020;[Epub]     CrossRef
  • Impact of Skeletal Muscle Mass on Metabolic Health
    Gyuri Kim, Jae Hyeon Kim
    Endocrinology and Metabolism.2020; 35(1): 1.     CrossRef
  • Habitual Combined Exercise Protects against Age-Associated Decline in Vascular Function and Lipid Profiles in Elderly Postmenopausal Women
    Elizabeth J. Pekas, John Shin, Won-Mok Son, Ronald J. Headid, Song-Young Park
    International Journal of Environmental Research and Public Health.2020; 17(11): 3893.     CrossRef
Obesity and Metabolic Syndrome
The Relationship between Thyroid Function and Different Obesity Phenotypes in Korean Euthyroid Adults
Jeong Mi Kim, Bo Hyun Kim, Hyungi Lee, Eun Heui Kim, Mijin Kim, Jong Ho Kim, Yun Kyung Jeon, Sang Soo Kim, In Joo Kim, Yong Ki Kim
Diabetes Metab J. 2019;43(6):867-878.   Published online April 3, 2019
DOI: https://doi.org/10.4093/dmj.2018.0130
  • 6,027 View
  • 70 Download
  • 17 Web of Science
  • 16 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Thyroid disease and metabolic syndrome are both associated with cardiovascular disease. The aim of this study was to investigate the correlation between thyroid hormones and obesity sub-phenotypes using nationwide data from Korea, a country known to be iodine replete.

Methods

This study was based on data obtained from the sixth Korea National Health and Nutrition Examination Survey, administered from 2013 to 2015. A total of 13,873 participants aged ≥19 years were included, and classified into four groups: metabolically healthy non-obesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy non-obesity (MUNO), and metabolically unhealthy obesity (MUO) by body fat on the basis of body mass index and metabolic health.

Results

At baseline, serum free thyroxine (fT4) values were significantly higher in the MHNO phenotype (MHNO, 1.27±0.01 ng/dL; MHO, 1.25±0.01 ng/dL; MUNO, 1.24±0.01 ng/dL; MUO, 1.24±0.01 ng/dL, P<0.001) in total study population. However, this significant association no longer remained after adjustment for age, urine iodine concentration, and smoking (P=0.085). After adjustment for confounders, statistically significant association was observed between lower thyroid stimulating hormone (TSH) and MHNO phenotype (P=0.044). In men participants (not women), higher fT4 values were significantly associated with MHNO phenotype (P<0.001). However, no significant association was observed between thyroid function (TSH or fT4) and obesity phenotypes in groups classified by age (cutoff age of 55 years).

Conclusion

Although there was a difference by age and sex, we found that the decrease of TSH and the increase of fT4 values were associated with MHNO.

Citations

Citations to this article as recorded by  
  • Causal association between obesity and hypothyroidism: a two-sample bidirectional Mendelian randomization study
    Yingkun Qiu, Qinyu Liu, Yinghua Luo, Jiadi Chen, Qingzhu Zheng, Yuping Xie, Yingping Cao
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Association between thyroid function and obesity phenotypes in healthy euthyroid individuals: an investigation based on Tehran Thyroid Study
    Behnaz Abiri, Amirhossein Ramezani Ahmadi, Maryam Mahdavi, Atieh Amouzegar, Majid Valizadeh
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • Characteristics of the metabolically unhealthy phenotype in menopausal resistance training practitioners
    Ana Carla Leocadio de Magalhaes, Vilma Fernandes Carvalho, Sabrina Pereira da Cruz, Andréa Ramalho
    Nutrición Hospitalaria.2023;[Epub]     CrossRef
  • A systematic review and meta-analysis investigating the relationship between metabolic syndrome and the incidence of thyroid diseases
    Heba Alwan, Valerie Aponte Ribero, Orestis Efthimiou, Cinzia Del Giovane, Nicolas Rodondi, Leonidas Duntas
    Endocrine.2023; 84(2): 320.     CrossRef
  • Higher Sensitivity to Thyroid Hormones May Be Linked to Maintaining the Healthy Metabolic Condition in People with Obesity: New Insight from NHANES
    Ying-shan Liu, Xiao-cong Liu, Jian Kuang, Hai-xia Guan
    Obesity Facts.2023; 16(5): 497.     CrossRef
  • Is there a link between obesity phenotype and thyroid diseases? A mini-review of current concepts
    Ewa Malwina Milewska-Kobos, Ewelina Szczepanek-Parulska, Marek Ruchala
    Postępy Higieny i Medycyny Doświadczalnej.2023; 77(1): 107.     CrossRef
  • Sex-specific Association of Subclinical Hypothyroidism With Incident Metabolic Syndrome: A Population-based Cohort Study
    Zhiyuan Wu, Yue Jiang, Di Zhou, Shuo Chen, Yu Zhao, Haiping Zhang, Yue Liu, Xia Li, Wei Wang, Jingbo Zhang, Xiaoping Kang, Lixin Tao, Bo Gao, Xiuhua Guo
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(6): e2365.     CrossRef
  • Determination of age and sex specific TSH and FT4 reference limits in overweight and obese individuals in an iodine-replete region: Tehran Thyroid Study (TTS)
    Hengameh Abdi, Bita Faam, Safoora Gharibzadeh, Ladan Mehran, Maryam Tohidi, Fereidoun Azizi, Atieh Amouzegar
    Endocrine Research.2021; 46(1): 37.     CrossRef
  • Association of Metabolic Obesity Phenotypes and Total Testosterone in Chinese Male Population
    Luna Liu, Shuang Liu, Qianmei Song, Dandan Luo, Yu Su, Xiangyu Qi, Qian Wang, Jing Ning, Youyuan Lv, Qingbo Guan
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 399.     CrossRef
  • Insulin Resistance in Association with Thyroid Function, Psychoemotional State, and Cardiovascular Risk Factors
    Nijole Kazukauskiene, Aurelija Podlipskyte, Giedrius Varoneckas, Narseta Mickuviene
    International Journal of Environmental Research and Public Health.2021; 18(7): 3388.     CrossRef
  • Association between different obesity phenotypes and hypothyroidism: a study based on a longitudinal health management cohort
    Yupeng Wang, Haiyan Lin, Qihang Li, Liying Guan, Meng Zhao, Fang Zhong, Jing Liu, Zhongshang Yuan, Honglin Guo, Yongfeng Song, Ling Gao, Jiajun Zhao
    Endocrine.2021; 72(3): 688.     CrossRef
  • Causal Association Between Serum Thyrotropin and Obesity: A Bidirectional, Mendelian Randomization Study
    Xichang Wang, Xiaotong Gao, Yutong Han, Fan Zhang, Zheyu Lin, Hong Wang, Weiping Teng, Zhongyan Shan
    The Journal of Clinical Endocrinology & Metabolism.2021; 106(10): e4251.     CrossRef
  • Effect of body mass index on peak growth hormone level after growth hormone stimulation test in children with short stature
    Na Yeong Lee, Sung Eun Kim, Seulki Kim, Moon Bae Ahn, Shin Hee Kim, Won Kyoung Cho, Kyoung Soon Cho, Min Ho Jung, Byung-Kyu Suh
    Annals of Pediatric Endocrinology & Metabolism.2021; 26(3): 192.     CrossRef
  • Interaction effect of obesity and thyroid autoimmunity on the prevalence of hyperthyrotropinaemia
    Xiaoyong Guo, Zhao He, Shanshan Shao, Yilin Fu, Dongmei Zheng, Lu Liu, Ling Gao, Liying Guan, Meng Zhao, Jiajun Zhao
    Endocrine.2020; 68(3): 573.     CrossRef
  • The role of thyroid hormone in metabolism and metabolic syndrome
    Patrícia de Fátima dos Santos Teixeira, Patrícia Borges dos Santos, Carmen Cabanelas Pazos-Moura
    Therapeutic Advances in Endocrinology and Metabolism.2020; 11: 204201882091786.     CrossRef
  • Characteristics of Serum Thyroid Hormones in Different Metabolic Phenotypes of Obesity
    Xiaomin Nie, Xiaojing Ma, Yiting Xu, Yun Shen, Yufei Wang, Yuqian Bao
    Frontiers in Endocrinology.2020;[Epub]     CrossRef
Current Status of Prescription in Type 2 Diabetic Patients from General Hospitals in Busan
Ji Hye Suk, Chang Won Lee, Sung Pyo Son, Min Cheol Kim, Jun Hyeob Ahn, Kwang Jae Lee, Ja Young Park, Sun Hye Shin, Min Jeong Kwon, Sang Soo Kim, Bo Hyun Kim, Soon Hee Lee, Jeong Hyun Park, In Joo Kim
Diabetes Metab J. 2014;38(3):230-239.   Published online June 17, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.3.230
  • 6,460 View
  • 31 Download
  • 9 Web of Science
  • 9 Crossref
AbstractAbstract PDFPubReader   
Background

Data regarding the prescription status of individuals with diabetes are limited. This study was an analysis of participants from the relationship between cardiovascular disease and brachial-ankle pulse wave velocity in patients with type 2 diabetes (REBOUND) Study, which was a prospective multicenter cohort study recruited from eight general hospitals in Busan, Korea. We performed this study to investigate the current status of prescription in Korean type 2 diabetic patients.

Methods

Type 2 diabetic patients aged 30 years or more were recruited and data were collected for demographics, medical history, medications, blood pressure, and laboratory tests.

Results

Three thousands and fifty-eight type 2 diabetic patients were recruited. Mean age, duration of diabetes, and HbA1c were 59 years, 7.6 years, and 7.2%, respectively. Prevalence of hypertension was 66%. Overall, 7.3% of patients were treated with diet and exercise only, 68.2% with oral hypoglycemic agents (OHAs) only, 5.3% with insulin only, and 19.2% with both insulin and OHA. The percentage of patients using antihypertensive, antidyslipidemic, antiplatelet agents was similar as about 60%. The prevalence of statins and aspirin users was 52% and 32%, respectively.

Conclusion

In our study, two thirds of type 2 diabetic patients were treated with OHA only, and one fifth with insulin plus OHA, and 5% with insulin only. More than half of the patients were using each of antihypertensive, antidyslipidemic, or antiplatelet agents. About a half of the patients were treated with statins and one third were treated with aspirin.

Citations

Citations to this article as recorded by  
  • A double‐blind, Randomized controlled trial on glucose‐lowering EFfects and safety of adding 0.25 or 0.5 mg lobeglitazone in type 2 diabetes patients with INadequate control on metformin and dipeptidyl peptidase‐4 inhibitor therapy: REFIND study
    Soree Ryang, Sang Soo Kim, Ji Cheol Bae, Ji Min Han, Su Kyoung Kwon, Young Il Kim, Il Seong Nam‐Goong, Eun Sook Kim, Mi‐kyung Kim, Chang Won Lee, Soyeon Yoo, Gwanpyo Koh, Min Jeong Kwon, Jeong Hyun Park, In Joo Kim
    Diabetes, Obesity and Metabolism.2022; 24(9): 1800.     CrossRef
  • Arterial stiffness is an independent predictor for risk of mortality in patients with type 2 diabetes mellitus: the REBOUND study
    Jeong Mi Kim, Sang Soo Kim, In Joo Kim, Jong Ho Kim, Bo Hyun Kim, Mi Kyung Kim, Soon Hee Lee, Chang Won Lee, Min Chul Kim, Jun Hyeob Ahn, Jinmi Kim
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Efficacy and Safety of Pioglitazone versus Glimepiride after Metformin and Alogliptin Combination Therapy: A Randomized, Open-Label, Multicenter, Parallel-Controlled Study
    Jeong Mi Kim, Sang Soo Kim, Jong Ho Kim, Mi Kyung Kim, Tae Nyun Kim, Soon Hee Lee, Chang Won Lee, Ja Young Park, Eun Sook Kim, Kwang Jae Lee, Young Sik Choi, Duk Kyu Kim, In Joo Kim
    Diabetes & Metabolism Journal.2020; 44(1): 67.     CrossRef
  • Efficacy and safety of sitagliptin/metformin fixed‐dose combination compared with glimepiride in patients with type 2 diabetes: A multicenter randomized double‐blind study
    Sang Soo Kim, In Joo Kim, Kwang Jae Lee, Jeong Hyun Park, Young Il Kim, Young Sil Lee, Sung Chang Chung, Sang Jin Lee
    Journal of Diabetes.2017; 9(4): 412.     CrossRef
  • Arterial Stiffness Is More Associated with Albuminuria than Decreased Glomerular Filtration Rate in Patients with Type 2 Diabetes Mellitus: The REBOUND Study
    Jong Ho Kim, Sang Soo Kim, In Joo Kim, Bo Hyun Kim, Ja Young Park, Chang Won Lee, Ji Hye Suk, Sun Hae Shin, Sung Pyo Son, Min Chul Kim, Jun Hyeob Ahn, Kwang Jae Lee, Min Jung Kwon, Soon Hee Lee, Jeong Hyun Park
    Journal of Diabetes Research.2017; 2017: 1.     CrossRef
  • Insulin therapy for adult patients with type 2 diabetes mellitus: a position statement of the Korean Diabetes Association, 2017
    Byung-Wan Lee, Jin Hwa Kim, Seung-Hyun Ko, Kyu Yeon Hur, Nan-Hee Kim, Sang Youl Rhee, Hyun Jin Kim, Min Kyong Moon, Seok-O Park, Kyung Mook Choi
    The Korean Journal of Internal Medicine.2017; 32(6): 967.     CrossRef
  • Insulin Therapy for Adult Patients with Type 2 Diabetes Mellitus: A Position Statement of the Korean Diabetes Association, 2017
    Byung-Wan Lee, Jin Hwa Kim, Seung-Hyun Ko, Kyu-Yeon Hur, Nan-Hee Kim, Sang Youl Rhee, Hyun Jin Kim, Min Kyong Moon, Seok-O Park, Kyung Mook Choi
    Diabetes & Metabolism Journal.2017; 41(5): 367.     CrossRef
  • Reduction of Sulfonylurea with the Initiation of Basal Insulin in Patients with Inadequately Controlled Type 2 Diabetes Mellitus Undergoing Long-Term Sulfonylurea-Based Treatment
    Yeoree Yang, Jeong-Ah Shin, Hae Kyung Yang, Seung-Hwan Lee, Seung-Hyun Ko, Yu-Bae Ahn, Kun-Ho Yoon, Jae-Hyoung Cho
    Diabetes & Metabolism Journal.2016; 40(6): 454.     CrossRef
  • Comparison of Vildagliptin and Pioglitazone in Korean Patients with Type 2 Diabetes Inadequately Controlled with Metformin
    Jong Ho Kim, Sang Soo Kim, Hong Sun Baek, In Kyu Lee, Dong Jin Chung, Ho Sang Sohn, Hak Yeon Bae, Mi Kyung Kim, Jeong Hyun Park, Young Sik Choi, Young Il Kim, Jong Ryeal Hahm, Chang Won Lee, Sung Rae Jo, Mi Kyung Park, Kwang Jae Lee, In Joo Kim
    Diabetes & Metabolism Journal.2016; 40(3): 230.     CrossRef
Relationships between Brachial-Ankle Pulse Wave Velocity and Peripheral Neuropathy in Type 2 Diabetes
Byung Kil Ha, Bong Gun Kim, Dong Hyun Kim, Soon Il Lee, Soon Myung Jung, Ja Young Park, Chang Won Lee, Sang Soo Kim, Bo Hyun Kim, In Ju Kim
Diabetes Metab J. 2012;36(6):443-451.   Published online December 12, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.6.443
  • 5,020 View
  • 40 Download
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

Brachial-ankle pulse wave velocity (baPWV) is known to be a good surrogate marker of clinical atherosclerosis. Atherosclerosis is a major predictor for developing neuropathy. The goal of this study was to determine the relationship between baPWV and diabetic peripheral neuropathy (DPN) in patients with type 2 diabetes.

Methods

A retrospective cross-sectional study was conducted involving 692 patients with type 2 diabetes. The correlation between increased baPWV and DPN, neurological symptoms, and neurological assessment was analyzed. DPN was examined using the total symptom score (TSS), ankle reflexes, the vibration test, and the 10-g monofilament test. DPN was defined as TSS ≥2 and an abnormal neurological assessment. Data were expressed as means±standard deviation for normally distributed data and as median (interquartile range) for non-normally distributed data. Independent t-tests or chi-square tests were used to make comparisons between groups, and a multiple logistic regression test was used to evaluate independent predictors of DPN. The Mantel-Haenszel chi-square test was used to adjust for age.

Results

Patients with DPN had higher baPWV and systolic blood pressure, and were more likely to be older and female, when compared to the control group. According to univariate analysis of risk factors for DPN, the odds ratio of the baPWV ≥1,600 cm/sec was 1.611 (95% confidence interval [CI], 1.072 to 2.422; P=0.021) and the odds ratio in female was 1.816 (95% CI, 1.195 to 2.760; P=0.005).

Conclusion

Increased baPWV was significantly correlated with peripheral neuropathy in patients with type 2 diabetes.

Citations

Citations to this article as recorded by  
  • Association of arterial stiffness and neuropathy in diabetes: a systematic review and meta-analysis
    Angela Beros, John Sluyter, Robert Keith Rhodes Scragg
    BMJ Open Diabetes Research & Care.2023; 11(1): e003140.     CrossRef
  • A Noninvasive Blood Glucose Estimation System Using Dual-Channel PPGs and Pulse-Arrival Velocity
    Po-Lei Lee, Kuo-Wei Wang, Chen-Yuan Hsiao
    IEEE Sensors Journal.2023; 23(19): 23570.     CrossRef
  • Bilirubin is inversely related to diabetic peripheral neuropathy assessed by sural nerve conduction study
    Kentaro Abe, Yasutaka Maeda, Chitose Matsuzaki, Hisashi Yokomizo, Tomoaki Inoue, Noriyuki Sonoda, Yoshihiro Ogawa, Toyoshi Inoguchi
    Journal of Diabetes Investigation.2021; 12(11): 2028.     CrossRef
  • Low 25-hydroxyvitamin D is associated with arterial stiffness in Chinese with Type 2 diabetes mellitus
    Bingwei Ma, Yao Chen, Chunjun Sheng, Peng Yang, Xingchun Wang, Shen Qu
    European Journal of Clinical Nutrition.2021; 75(11): 1645.     CrossRef
  • Electrical impedance plethysmography versus tonometry to measure the pulse wave velocity in peripheral arteries in young healthy volunteers: a pilot study
    A. I. P. Wiegerinck, A. Thomsen, J. Hisdal, H. Kalvøy, C. Tronstad
    Journal of Electrical Bioimpedance.2021; 12(1): 169.     CrossRef
  • Peripheral Arterial Stiffness Increases the Risk of Progression of Renal Disease in Type 2 Diabetic Patients
    Tae Hoon Lim, Seung Min Chung, Dong Sung Lee, Se Ra Choi, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
    Frontiers in Medicine.2020;[Epub]     CrossRef
  • High Brachial Ankle Pulse Wave Velocity as a Marker for Predicting Coronary Artery Stenosis in Patients with Type 2 Diabetes
    Bo Hyun Kim, Jae Sik Jang, Yong Seop Kwon, June Hyung Kim, In Joo Kim, Chang Won Lee
    Endocrinology and Metabolism.2018; 33(1): 88.     CrossRef
  • Nerve conduction velocity is negatively associated with intima-media thickness and brachial-ankle pulse wave velocity in men with type 2 diabetes mellitus
    Sayuri Tanaka, Ippei Kanazawa, Toshitsugu Sugimoto, Rayaz A. Malik
    PLOS ONE.2018; 13(12): e0209503.     CrossRef
  • The association between pulse wave velocity and peripheral neuropathy in patients with type 2 diabetes mellitus
    Anastasios Tentolouris, Ioanna Eleftheriadou, Pinelopi Grigoropoulou, Alexander Kokkinos, Gerasimos Siasos, Ioannis Ntanasis-Stathopoulos, Nikolaos Tentolouris
    Journal of Diabetes and its Complications.2017; 31(11): 1624.     CrossRef
  • Neurogenic Pain Disorder in the Foot and Ankle: Peripheral Neuropathy
    Hak Jun Kim, Young Hwan Park, Soo Hyun Kim
    Journal of the Korean Orthopaedic Association.2017; 52(4): 305.     CrossRef
  • Prevalence and Risk Factors of Gastroesophageal Reflux Disease in Patients with Type 2 Diabetes Mellitus
    Jun Ouk Ha, Tae Hee Lee, Chang Won Lee, Ja Young Park, Seong Ho Choi, Hee Seung Park, Jae Seung Lee, Seung Heon Lee, Eun Hee Seo, Young Hwan Kim, Young Woo Kang
    Diabetes & Metabolism Journal.2016; 40(4): 297.     CrossRef
  • The association between arterial stiffness and tongue manifestations of blood stasis in patients with type 2 diabetes
    Po-Chi Hsu, Yu-Chuen Huang, John Y. Chiang, Hen-Hong Chang, Pei-Yung Liao, Lun-Chien Lo
    BMC Complementary and Alternative Medicine.2016;[Epub]     CrossRef
  • Aortic Stiffness as a Surrogate Endpoint to Micro- and Macrovascular Complications in Patients with Type 2 Diabetes
    Claudia Cardoso, Gil Salles
    International Journal of Molecular Sciences.2016; 17(12): 2044.     CrossRef
  • Brachial-Ankle Pulse Wave Velocity is Associated with Composite Carotid and Coronary Atherosclerosis in a Middle-Aged Asymptomatic Population
    Hyung Joon Joo, Sang-A Cho, Jae-Young Cho, Seunghun Lee, Jae Hyoung Park, Sung Ho Hwang, Soon Jun Hong, Cheol Woong Yu, Do-Sun Lim
    Journal of Atherosclerosis and Thrombosis.2016; 23(9): 1033.     CrossRef
  • Arterial stiffness in diabetes mellitus
    Stuart B. Prenner, Julio A. Chirinos
    Atherosclerosis.2015; 238(2): 370.     CrossRef
  • Association between Brachial-Ankle pulse wave velocity and cardiac autonomic neuropathy in type 2 diabetes
    Nan Wu, Xiaoling Cai, Kuanping Ye, Yintao Li, Min He, Weiwei Zhao, Renming Hu
    Diabetology & Metabolic Syndrome.2014;[Epub]     CrossRef
Cause-of-Death Trends for Diabetes Mellitus over 10 Years.
Su Kyung Park, Mi Kyoung Park, Ji Hye Suk, Mi Kyung Kim, Yong Ki Kim, In Ju Kim, Yang Ho Kang, Kwang Jae Lee, Hyun Seung Lee, Chang Won Lee, Bo Hyun Kim, Kyung Il Lee, Mi Kyoung Kim, Duk Kyu Kim
Korean Diabetes J. 2009;33(1):65-72.   Published online February 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.1.65
  • 2,687 View
  • 42 Download
  • 22 Crossref
AbstractAbstract PDF
BACKGROUND
Recently, diabetic mortality is lower than ever before, likely due to dramatic improvements in diabetes care. This study set to analyze changes in the cause of death in type 2 diabetes mellitus (T2DM) in the past 10 years. METHODS: All subjects were T2DM patients over the age of 30 whose death certificates were issued at six hospitals in the Busan metropolitan area from 2000 to 2004. The patients were excluded if they had been clinically diagnosed with significant tuberculosis, liver, thyroid, renal, connective tissue diseases and cancers, prior to T2DM diagnosis. We classified the cause of death into several groups by KCD-4. The results were compared with published data on the period from 1990 to 1994. RESULTS: The study comprised 680 patients, of which 374 (55.0%) were male. The average age of death was 66.3 +/- 10.7 years. The most common cause of death was cardiovascular disease (30.6%), followed by infectious disease (25.3%), cancer (21.9%), congestive heart failure (7.1%), renal disease (4.7%), liver disease (2.7%), and T2DM itself (1.9%). In the study from the earlier period, the most common cause of death was also cardiovascular disease (37.6%), followed by infectious disease (24.2%), T2DM (6.0%), liver disease (5.4%), cancer (4.7%), and renal disease (3.3%). CONCLUSION: Over both study periods, the first and second cause of death in T2DM were cardiovascular disease and infectious disease, respectively. However, death by cerebral infarction among cardiovascular disease patients was significantly lower in the latter period, while death by malignancy was markedly increased.

Citations

Citations to this article as recorded by  
  • The Socio-Economic Cost of Diabetes Mellitus in Korea Using National Health Insurance Claim Data, 2017
    Heesun Kim, Eun-Jung Kim
    Healthcare.2022; 10(9): 1601.     CrossRef
  • Arterial stiffness is an independent predictor for risk of mortality in patients with type 2 diabetes mellitus: the REBOUND study
    Jeong Mi Kim, Sang Soo Kim, In Joo Kim, Jong Ho Kim, Bo Hyun Kim, Mi Kyung Kim, Soon Hee Lee, Chang Won Lee, Min Chul Kim, Jun Hyeob Ahn, Jinmi Kim
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • The Mentors, The Social Support and Patients with Diabetes Mellitus
    Yu Jeong Park
    The Journal of Korean Diabetes.2019; 20(2): 112.     CrossRef
  • How to build nomogram for type 2 diabetes using a naïve Bayesian classifier technique
    Jae-Cheol Park, Jea-Young Lee
    Journal of Applied Statistics.2018; 45(16): 2999.     CrossRef
  • Impact of change in job status on mortality for newly onset type II diabetes patients: 7 years follow-up using cohort data of National Health Insurance, Korea
    Donggyo Shin, Ji Man Kim, Tinyami Erick Tandi, Eun-Cheol Park
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2016; 10(1): S1.     CrossRef
  • Factors Associated with Poor Glycemic Control among Patients with Type 2 Diabetes Mellitus: The Fifth Korea National Health and Nutrition Examination Survey (2010-2012)
    Jinhyun Park, Seungji Lim, Eunshil Yim, Youngdae Kim, Woojin Chung
    Health Policy and Management.2016; 26(2): 125.     CrossRef
  • Mortality and causes of death in a national sample of type 2 diabetic patients in Korea from 2002 to 2013
    Yu Mi Kang, Ye-Jee Kim, Joong-Yeol Park, Woo Je Lee, Chang Hee Jung
    Cardiovascular Diabetology.2016;[Epub]     CrossRef
  • Development of Cell Phone Application for Blood Glucose Self-Monitoring Based on ISO/IEEE 11073 and HL7 CCD
    Hyun Sang Park, Hune Cho, Hwa Sun Kim
    Healthcare Informatics Research.2015; 21(2): 83.     CrossRef
  • Cost-Utility Analysis of Screening Strategies for Diabetic Retinopathy in Korea
    Sang-Won Kim, Gil-Won Kang
    Journal of Korean Medical Science.2015; 30(12): 1723.     CrossRef
  • Quality characteristics of brown rice boiled with medicinal herbs extract for diabetes prevention
    Kyung-Mi Yang, Jung-Ran Park, Su-Jung Hwang
    Korean Journal of Food Preservation.2014; 21(1): 55.     CrossRef
  • Does Diabetes Mellitus Influence Standardized Uptake Values of Fluorodeoxyglucose Positron Emission Tomography in Colorectal Cancer?
    Da Yeon Oh, Ji Won Kim, Seong-Joon Koh, Mingoo Kim, Ji Hoon Park, Su Yeon Cho, Byeong Gwan Kim, Kook Lae Lee, Jong Pil Im
    Intestinal Research.2014; 12(2): 146.     CrossRef
  • The Relationship between Metformin and Cancer in Patients with Type 2 Diabetes
    Hyun Hee Chung, Jun Sung Moon, Ji Sung Yoon, Hyoung Woo Lee, Kyu Chang Won
    Diabetes & Metabolism Journal.2013; 37(2): 125.     CrossRef
  • Relationship between Milk and Calcium Intake and Lipid Metabolism in Female Patients with Type 2 Diabetes
    JaeHee Kim, Ji-Yun Hwang, Ki Nam Kim, Young-Ju Choi, Namsoo Chang, Kap-Bum Huh
    Yonsei Medical Journal.2013; 54(3): 626.     CrossRef
  • Comorbidity Study on Type 2 Diabetes Mellitus Using Data Mining
    Hye Soon Kim, A Mi Shin, Mi Kyung Kim, Yoon Nyun Kim
    The Korean Journal of Internal Medicine.2012; 27(2): 197.     CrossRef
  • Glucose, Blood Pressure, and Lipid Control in Korean Adults with Diagnosed Diabetes
    Sun-Joo Boo
    Korean Journal of Adult Nursing.2012; 24(4): 406.     CrossRef
  • A Comparative Study of Eating Habits and Food Intake in Women with Gestational Diabetes according to Early Postpartum Glucose Tolerance Status
    You Jeong Hwang, Bo Kyung Park, Sunmin Park, Sung-Hoon Kim
    Diabetes & Metabolism Journal.2011; 35(4): 354.     CrossRef
  • Diabetes and Cancer: Is Diabetes Causally Related to Cancer?
    Sunghwan Suh, Kwang-Won Kim
    Diabetes & Metabolism Journal.2011; 35(3): 193.     CrossRef
  • The Association between Type 2 Diabetes Mellitus and Colorectal Cancer
    Byeong Do Yi, Young Pil Bae, Bong Gun Kim, Jong Wha Park, Dong Hyun Kim, Ja Young Park, Seong Ho Choi, Hee Seung Park, Jae Seung Lee, Chang Won Lee, Sang Soo Kim, Bo Hyun Kim, Moon Ki Choi, In Joo Kim
    Endocrinology and Metabolism.2011; 26(2): 126.     CrossRef
  • The Hypoglycemic Effect of Complex of Chinese Traditional Herbs (CTH) and Macelignan in Type 2 Diabetic Animal Model

    Journal of Life Science.2010; 20(7): 1113.     CrossRef
  • The Relationship Between Coronary Artery Calcification and Serum Apolipoprotein A-1 in Patients with Type 2 Diabetes
    Hyun Ae Seo, Yeon Kyung Choi, Jae Han Jeon, Jung Eun Lee, Ji Yun Jeong, Seong Su Moon, In Kyu Lee, Bo Wan Kim, Jung Guk Kim
    Korean Diabetes Journal.2009; 33(6): 485.     CrossRef
  • Epidemiologic Characteristics of Diabetes Mellitus in Korea: Current Status of Diabetic Patients Using Korean Health Insurance Database
    Ie Byung Park, Sei Hyun Baik
    Korean Diabetes Journal.2009; 33(5): 357.     CrossRef
  • Cause-of-Death Trends for Diabetes Mellitus over 10 Years (Korean Diabetes J 33(1):65-72, 2009)
    Hae Jin Kim
    Korean Diabetes Journal.2009; 33(2): 164.     CrossRef
Determinants of 1-Year Changes of Brachial Ankle Pulse Wave Velocity (baPWV) in Patients with Type 2 Diabetes Mellitus.
Kyung Won Yun, Bo Hyun Kim, Young Pil Bae, Byeong Do Yi, Seung Woo Lee, Hong Kyu Lim, Yeon Sik Ryu, Chang Won Lee
Korean Diabetes J. 2008;32(4):346-357.   Published online August 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.4.346
  • 2,409 View
  • 19 Download
  • 4 Crossref
AbstractAbstract PDF
BACKGROUND
Cardiovascular disease is the leading cause of mortality in type 2 diabetes. PWV correlates well with arterial distensibility and stiffness and a useful approach for evaluating the severity of systemic atherosclerosis in adults, and, in particular, the measurement of brachial-ankle PWV (baPWV) has been commonly reported as a simple, noninvasive and practicable method. baPWV was mainly affected by age, SBP and sex. And also, baPWV was affected by many different factors such as body weight, BMI, waist to hip ratio, HbA1c, microalbuminuria, triglyceride, gammaGTP, duration of DM. We evaluated determinants of 1-year changes of baPWV in patients with type 2 DM. METHODS: The study group comprised 189 diabetic patients who measured ankle brachial pressure index (ABI), baPWV at base line and 1-year later. The anthropometric parameters, blood pressure, pulse pressure, fasting plasma glucose (FBS), fasting insulin, A1c, lipid profile, hsCRP, microalbuminuria, AST/ALT, gammaGTP were also checked concurrently. We also analyzed correlation between change of baPWV and subject's medications. We retrospectively analyzed the relationship between the 1-year changes of baPWV and the other factors. All analyses were performed with the SPSS Version 14.0 and P values < 0.05 were considered significant. RESULTS: baPWV change was affected by systolic blood pressure change, diastolic blood pressure change, pulse pressure change, body weight, BMI, triglyceride change, insulin treatment and total cholesterol. Multiple regression analysis of the relationship between change of baPWV and other associated variables shows that the 1-year change of baPWV was significantly associated with the changes of blood pressure and insulin treatment in patients with type 2 DM. CONCLUSION: 1-year change of baPWV was significantly associated with the changes of blood pressure in patients with type 2 DM.

Citations

Citations to this article as recorded by  
  • Independent association between glycated hemoglobin and arterial stiffness in healthy men
    Jin‐Won Noh, Eun‐Jung Kim, Hyun‐Ju Seo, Soo Geun Kim
    Journal of Diabetes Investigation.2016; 7(2): 241.     CrossRef
  • Determinants of Follow-up Changes of Brachial Ankle Pulse Wave Velocity in Korean Women
    Dae Young Kim, Sung Yeol Kong, Sung Ja Lee, Ha Do Song, Eun Jin Han, Ji Hoon Yang, Ji Yeon Kim, Dong Hyun Lee, Hyun Ho Shin
    Journal of the Korean Society of Hypertension.2012; 18(4): 154.     CrossRef
  • Relationships between Cardiac Autonomic Neuropathy and the Brachial-ankle Pulse Wave Velocity in Patients with Type 2 Diabetes
    Young Pil Bae, Byeong Do Yi, Bong-Gun Kim, Jong-Hwa Park, Yong Seop Kwon, Ja Young Park, Chang Won Lee, Bo Hyun Kim, Jae-Sik Jang
    Endocrinology and Metabolism.2011; 26(1): 44.     CrossRef
  • The Association of Brachial-Ankle Pulse Wave Velocity with Acute Postprandial Hyperglycemia in Korean Prediabetic and Diabetic Subjects
    Chul Woo Ahn
    Korean Diabetes Journal.2010; 34(5): 284.     CrossRef
Oxidative Stress Causes Vascular Insulin Resistance in OLETF Rat Through Increased IRS-1 Degradation.
Jung Lae Park, Young Sil Lee, Bo Hyun Kim, Yang Ho Kang, In Ju Kim, Yong Ki Kim, Seok Man Son
Korean Diabetes J. 2007;31(1):22-32.   Published online January 1, 2007
DOI: https://doi.org/10.4093/jkda.2007.31.1.22
  • 2,114 View
  • 18 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
Insulin resistance and oxidative stress have been reported to play essential pathophysiological roles in diabetic cardiovascular complication. The relationship between insulin resistance and oxidative stress in vasculature remains unclear. The study was conducted to assess whether oxidative stress induce vascular insulin resistance in OLETF rat, a model of type 2 diabetes METHODS: We used OLETF rats (20/30/40 weeks, n = 5/5/5), as models of type 2 DM, and LETO rats (20/30/40 weeks, n = 5/5/5) as controls. Aortas of each rats were extracted. Superoxide anion production was detected by NBT assay and lucigenin assay. 8-hydroxyguanosine (OHdG) and nitrotyrosine were detected as markers of oxidative stress in 20 and 40 weeks groups. The glucose uptake of aortas was measured by detecting 2-deoxyglucose uptake in both groups. The expression of IR, IRS-1, PI3-K and Akt/PKB were detected by immuno precipitation and immunoblotting in 20, 30 and 40 weeks groups RESULTS: Superoxide anion production and markers of oxidative stress (8-OHdG, nitrotyrosine) were significantly increased in aortas of OLETF rats compared with controls. Aortas of OLETF rats exhibited decreased IRS-1 content and increased phosphorylation of IRS-1 at Ser307 compared with LETO rats. There were no significant differences in expressions of IR, PI3-K and Akt/PKB between two groups CONCLUSION: These results suggest that oxidative stress induces insulin resistance in vasculature of OLETF rat specifically through increasing serine phosphorylation of IRS-1 and its degradation by a proteasome-dependent pathway, providing an alternative mechanism that may explain the association with insulin resistance and diabetic vascular complications.

Citations

Citations to this article as recorded by  
  • Anti-diabetic effects of benfotiamine on an animal model of type 2 diabetes mellitus
    Kang Min Chung, Wonyoung Kang, Dong Geon Kim, Hyun Ju Hong, Youngjae Lee, Chang-Hoon Han
    Korean Journal of Veterinary Research.2014; 54(1): 21.     CrossRef
High Glucose Modulates Vascular Smooth Muscle Cell Proliferation Through Activation of PKC-sigma-dependent NAD(P)H oxidase.
Bo Hyun Kim, Chang Won Lee, Jung Lae Park, Yang Ho Kang, In Ju Kim, Yong Ki Kim, Seok Man Son
Korean Diabetes J. 2006;30(6):416-427.   Published online November 1, 2006
DOI: https://doi.org/10.4093/jkda.2006.30.6.416
  • 1,910 View
  • 18 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
Oxidative stress is thought to be one of the causative factors contributing to macrovascular complications in diabetes. However, the mechanisms of development and progression of diabetic vascular complications are poorly understood. We hypothesized that PKC-sigma isozyme contributes to ROS generation and determined their roles in the critical intermediary signaling events in high glucose-induced proliferation of vascular smooth muscle (VSM) cells. METHODS: We treated primary cultured rat aortic smooth muscle cells for 72 hours with medium containing 5.5 mmol/L D-glucose (normal glucose), 30 mmol/L D-glucose (high glucose) or 5.5 mmol/L D-glucose plus 24.5 mmol/L mannitol (osmotic control). We then measured cell number, BrdU incorporation, cell cycle and superoxide production in VSM cells. Immunoblotting of PKC isozymes using phoshospecific antibodies was performed, and PKC activity was also measured. RESULTS: High glucose increased VSM cell number and BrdU incorporation and displayed significantly greater percentages of S and G2/M phases than compared to 5.5 mmol/L glucose and osmotic control. The nitroblue tetrazolium (NBT) staining in high glucose-treated VSM cell was more prominent compared with normal glucose-treated VSM cell, which was significantly inhibited by DPI (10 micrometer), but not by inhibitors for other oxidases. High glucose also markedly increased activity of PKC-sigma isozyme. When VSM cells were treated with rottlerin, a specific inhibitor of PKC-sigma or transfected with PKC-sigma siRNA, NBT staining and NAD(P)H oxidase activity were significantly attenuated in the high glucose-treated VSM cells. Furthermore, inhibition of PKC-sigma markedly decreased VSM cell number by high glucose. CONCLUSION: These results suggest that high glucose-induced VSM cell proliferation is dependent upon activation of PKC-sigma, which may responsible for elevated intracellular ROS production in VSM cells, and this is mediated by NAD(P)H oxidase.

Citations

Citations to this article as recorded by  
  • High Glucose and/or Free Fatty Acid Damage Vascular Endothelial Cells via Stimulating of NAD(P)H Oxidase-induced Superoxide Production from Neutrophils
    Sang Soo Kim, Sun Young Kim, Soo Hyung Lee, Yang Ho Kang, In Ju Kim, Yong Ki Kim, Seok Man Son
    Korean Diabetes Journal.2009; 33(2): 94.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal