Diabetes & Metabolism Journal

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

9,666 View
170 Download
13 Web of Science
13 Crossref

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

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

6,689 View
73 Download
19 Web of Science
18 Crossref

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

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
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
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

Association of Serum Cystatin C with Metabolic Syndrome and Its Related Components in Korean Adults.: Sun Young Kim, Sang Heon Song, Yun Kyung Jeon, Ji Ryang Kim, Jung Ho Bae, Sang Soo Kim, Soo Hyung Lee, Seok Man Son, In Ju Kim, Yong Ki Kim, Yang Ho Kang; Korean Diabetes J. 2008;32(5):409-417. Published online October 1, 2008; DOI: https://doi.org/10.4093/kdj.2008.32.5.409

2,648 View
32 Download
3 Crossref

Abstract PDF

BACKGROUND
Serum cystatin C has been reported as a better marker than serum creatinine for estimation of kidney function and may be associated with cardiovascular disease. The aim of this study was to elucidate the association of serum cystatin C with metabolic syndrome (MS), a constellation of cardiovascular risk factors, and its related components and the usefulness of serum cystatin C for the cardiovascular risk assessment. METHODS: 1,468 healthy subjects (814 men and 655 women), who visited health promotion center of Pusan National University Hospital for routine medical checkup were included. MS was defined by modified, revised National Cholesterol Education Program (NCEP) Adult Treatment Panel (ATP) III criteria. RESULTS: Mean serum cystatin C value was 0.87 +/- 0.17 mg/L. In partial correlation analysis adjusted by age, sex and Glomerular Filtration Rate (GFR), cystatin C was associated with most of metabolic parameters and especially had significant positive correlation with waist circumference (r = 0.215), triglyceride (TG) (r = 0.141), diastolic blood pressure (BP) (r = 0.116), and correlated negatively with high density lipoprotein (HDL) cholesterol (r = -0.152) (all P < 0.001). There were increasing trends of prevalence of MS with the increase of quartiles of cystatin C and as the number of MS components increased, cystatin C values significantly increased. Serum cystatin C was also significantly increased in MS (0.90 +/- 0.19 mg/L vs. 0.86 +/- 0.16 mg/L). In stepwise multiple regression analysis including the components of MS, Waist circumference, diastolic BP, triglyceride, and HDL cholesterol were independent determinants of serum cystatin C, but with creatinine, only waist circumference was independent determinant. CONCLUSIONS: Serum cystatin C was closely associated with MS and its related cardiovascular risk factors and might be useful as a tool of cardiovascular risk assessment.

Citations

Citations to this article as recorded by

Cystatin C in Patients of Metabolic Syndrome and its Correlation with the Individual Components of Metabolic Syndrome
Sunita Aghade, Jayshree S Bavikar, Pragati S Kadam, Reshakiran J Shendye
Indian Journal of Medical Biochemistry.2019; 23(2): 293. CrossRef
Cystatin C as a Predictor for Diabetes according to Glycosylated Hemoglobin Levels in Korean Patients
Eon Ju Jeon, Ji Hyun Lee
Diabetes & Metabolism Journal.2016; 40(1): 32. CrossRef
Association of Obesity with Serum Cystatin C in Korean Adults
Yang Ho Kang
The Korean Journal of Obesity.2015; 24(4): 199. CrossRef

First
Prev
Page of 1
Next
Last

Search