Diabetes & Metabolism Journal

Yun Kyung Jeon (Jeon YK)

2 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

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Abstract PDF Supplementary Material PubReader

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

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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
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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

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78 Download
19 Web of Science
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Abstract PDF Supplementary Material PubReader

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

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Exploring the diagnostic performance of machine learning in prediction of metabolic phenotypes focusing on thyroid function
Hyeong Jun Ahn, Kyle Ishikawa, Min-Hee Kim, Vijayalakshmi Kakulapati
PLOS ONE.2024; 19(6): e0304785. CrossRef
Association between thyroid hormone resistance and obesity: a cross‐sectional study and mouse stimulation test
Zhihui Wang, Huimin Yu, Kai Wang, Junming Han, Yongfeng Song
Obesity.2024; 32(8): 1483. 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
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Heba Alwan, Valerie Aponte Ribero, Orestis Efthimiou, Cinzia Del Giovane, Nicolas Rodondi, Leonidas Duntas
Endocrine.2023; 84(2): 320. CrossRef
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Ying-shan Liu, Xiao-cong Liu, Jian Kuang, Hai-xia Guan
Obesity Facts.2023; 16(5): 497. CrossRef
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Ewa Malwina Milewska-Kobos, Ewelina Szczepanek-Parulska, Marek Ruchala
Postępy Higieny i Medycyny Doświadczalnej.2023; 77(1): 107. CrossRef
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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
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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
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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;[Epub] 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

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