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

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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

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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
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

Drug/Regimen
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 Metab J. 2020;44(1):67-77. Published online July 11, 2019; DOI: https://doi.org/10.4093/dmj.2018.0274

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Background

There is limited information regarding the optimal third-line therapy for managing type 2 diabetes mellitus (T2DM) that is inadequately controlled using dual combination therapy. This study assessed the efficacy and safety of pioglitazone or glimepiride when added to metformin plus alogliptin treatment for T2DM.

Methods

This multicenter, randomized, active-controlled trial (ClinicalTrials.gov: NCT02426294) recruited 135 Korean patients with T2DM that was inadequately controlled using metformin plus alogliptin. The patients were then randomized to also receive pioglitazone (15 mg/day) or glimepiride (2 mg/day) for a 26-week period, with dose titration was permitted based on the investigator's judgement.

Results

Glycosylated hemoglobin levels exhibited similar significant decreases in both groups during the treatment period (pioglitazone: −0.81%, P<0.001; glimepiride: −1.05%, P<0.001). However, the pioglitazone-treated group exhibited significantly higher high density lipoprotein cholesterol levels (P<0.001) and significantly lower homeostatic model assessment of insulin resistance values (P<0.001). Relative to pioglitazone, adding glimepiride to metformin plus alogliptin markedly increased the risk of hypoglycemia (pioglitazone: 1/69 cases [1.45%], glimepiride: 14/66 cases [21.21%]; P<0.001).

Conclusion

Among patients with T2DM inadequately controlled using metformin plus alogliptin, the addition of pioglitazone provided comparable glycemic control and various benefits (improvements in lipid profiles, insulin resistance, and hypoglycemia risk) relative to the addition of glimepiride.

Citations

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Cost-effectiveness and budget impact analysis of fixed combination of alogliptin and pioglitazone in the treatment of type 2 diabetes mellitus
Yu.V. Strunina, N.A. Petunina
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Pioglitazone-Enhanced Brown Fat Whitening Contributes to Weight Gain in Diet-Induced Obese Mice
Piaojian Yu, Wei Wang, Wanrong Guo, Lidan Cheng, Zhiping Wan, Yanglei Cheng, Yunfeng Shen, Fen Xu
Experimental and Clinical Endocrinology & Diabetes.2023; 131(11): 595. CrossRef
Compliance with Cardiovascular Prevention Guidelines in Type 2 Diabetes Individuals in a Middle-Income Region: A Cross-Sectional Analysis
Joaquim Barreto, Beatriz Luchiari, Vaneza L. W. Wolf, Isabella Bonilha, Ticiane G. Bovi, Barbara S. Assato, Ikaro Breder, Sheila T. Kimura-Medorima, Daniel B. Munhoz, Thiago Quinaglia, Otavio R. Coelho-Filho, Luiz Sergio F. Carvalho, Wilson Nadruz, Andrei
Diagnostics.2022; 12(4): 814. CrossRef
Effects of Glimepiride Combined with Recombinant Human Insulin Injection on Serum IGF-1, VEGF and TRACP-5b Oxidative Stress Levels in Patients with Type 2 Diabetes Mellitus
Xue Chen, Sheng Kang, Zeqing Bao, Ciara Hughes
Evidence-Based Complementary and Alternative Medicine.2022; 2022: 1. CrossRef
Glycaemic control with add‐on thiazolidinedione or a sodium‐glucose co‐transporter‐2 inhibitor in patients with type 2 diabetes after the failure of an oral triple antidiabetic regimen: A 24‐week, randomized controlled trial
Jaehyun Bae, Ji Hye Huh, Minyoung Lee, Yong‐Ho Lee, Byung‐Wan Lee
Diabetes, Obesity and Metabolism.2021; 23(2): 609. CrossRef
Development and validation of a sensitive LC-MS/MS method for pioglitazone: application towards pharmacokinetic and tissue distribution study in rats
Kusuma Kumari G., Praveen Thaggikuppe Krishnamurthy, Ravi Kiran Ammu V. V. V., Kurawattimath Vishwanath, S. T. Narenderan, B. Babu, Nagappan Krishnaveni
RSC Advances.2021; 11(19): 11437. CrossRef
Compliance with Cardiovascular Prevention Guidelines in Individuals with Type 2 Diabetes in a Middle-Income Region: Cross-Sectional Analysis
Joaquim Barreto, Beatriz Luchiari, Vaneza Lira W. Wolf, Isabella Bonilha, Ticiane G. Bovi, Barbara S. Assato, Ikaro Breder, Sheila T. Kimura-Medorima, Daniel B. Munhoz, Thiago Quinaglia, Otavio R. Coelho-Filho, Luiz Sérgio Fernandes de Carvalho, Wilson Na
SSRN Electronic Journal .2021;[Epub] 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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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

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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
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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
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Luna Liu, Shuang Liu, Qianmei Song, Dandan Luo, Yu Su, Xiangyu Qi, Qian Wang, Jing Ning, Youyuan Lv, Qingbo Guan
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Nijole Kazukauskiene, Aurelija Podlipskyte, Giedrius Varoneckas, Narseta Mickuviene
International Journal of Environmental Research and Public Health.2021; 18(7): 3388. CrossRef
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Yupeng Wang, Haiyan Lin, Qihang Li, Liying Guan, Meng Zhao, Fang Zhong, Jing Liu, Zhongshang Yuan, Honglin Guo, Yongfeng Song, Ling Gao, Jiajun Zhao
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Others
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 Metab J. 2016;40(3):230-239. Published online April 5, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.3.230

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Background

We compared the efficacies of vildagliptin (50 mg twice daily) relative to pioglitazone (15 mg once daily) as an add-on treatment to metformin for reducing glycosylated hemoglobin (HbA1c) levels in Korean patients with type 2 diabetes.

Methods

The present study was a multicenter, randomized, active-controlled investigation comparing the effects of vildagliptin and pioglitazone in Korean patients receiving a stable dose of metformin but exhibiting inadequate glycemic control. Each patient underwent a 16-week treatment period with either vildagliptin or pioglitazone as an add-on treatment to metformin.

Results

The mean changes in HbA1c levels from baseline were –0.94% in the vildagliptin group and –0.6% in the pioglitazone group and the difference between the treatments was below the non-inferiority margin of 0.3%. The mean changes in postprandial plasma glucose (PPG) levels were –60.2 mg/dL in the vildagliptin group and –38.2 mg/dL in the pioglitazone group and these values significantly differed (P=0.040). There were significant decreases in the levels of total, low density lipoprotein, high density lipoprotein (HDL), and non-HDL cholesterol in the vildagliptin group but increases in the pioglitazone group. The mean change in body weight was –0.07 kg in the vildagliptin group and 0.69 kg in the pioglitazone group, which were also significantly different (P=0.002).

Conclusion

As an add-on to metformin, the efficacy of vildagliptin for the improvement of glycemic control is not inferior to that of pioglitazone in Korean patients with type 2 diabetes. In addition, add-on treatment with vildagliptin had beneficial effects on PPG levels, lipid profiles, and body weight compared to pioglitazone.

Citations

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