Diabetes & Metabolism Journal

Original Articles

Drug/Regimen
Efficacy and Safety of Treatment with Quadruple Oral Hypoglycemic Agents in Uncontrolled Type 2 Diabetes Mellitus: A Multi-Center, Retrospective, Observational Study: Jun Sung Moon, Sunghwan Suh, Sang Soo Kim, Heung Yong Jin, Jeong Mi Kim, Min Hee Jang, Kyung Ae Lee, Ju Hyung Lee, Seung Min Chung, Young Sang Lyu, Jin Hwa Kim, Sang Yong Kim, Jung Eun Jang, Tae Nyun Kim, Sung Woo Kim, Eonju Jeon, Nan Hee Cho, Mi-Kyung Kim, Hye Soon Kim, Il Seong Nam-Goong, Eun Sook Kim, Jin Ook Chung, Dong-Hyeok Cho, Chang Won Lee, Young Il Kim, Dong Jin Chung, Kyu Chang Won, In Joo Kim, Tae Sun Park, Duk Kyu Kim, Hosang Shon; Diabetes Metab J. 2021;45(5):675-683. Published online August 12, 2020; DOI: https://doi.org/10.4093/dmj.2020.0107

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Background

Only few studies have shown the efficacy and safety of glucose-control strategies using the quadruple drug combination. Therefore, the aim of the present study was to investigate the usefulness of the quadruple combination therapy with oral hypoglycemic agents (OHAs) in patients with uncontrolled type 2 diabetes mellitus (T2DM).

Methods

From March 2014 to December 2018, data of patients with T2DM, who were treated with quadruple hypoglycemic medications for over 12 months in 11 hospitals in South Korea, were reviewed retrospectively. We compared glycosylated hemoglobin (HbA1c) levels before and 12 months after quadruple treatment with OHAs. The safety, maintenance rate, and therapeutic patterns after failure of the quadruple therapy were also evaluated.

Results

In total, 357 patients were enrolled for quadruple OHA therapy, and the baseline HbA1c level was 9.0%±1.3% (74.9±14.1 mmol/mol). After 12 months, 270 patients (75.6%) adhered to the quadruple therapy and HbA1c was significantly reduced from 8.9%±1.2% to 7.8%±1.3% (mean change, −1.1%±1.2%; P<0.001). The number of patients with HbA1c <7% increased significantly from 5 to 68 (P<0.005). In addition, lipid profiles and liver enzyme levels were also improved whereas no changes in body weight. There was no significant safety issue in patients treated with quadruple OHA therapy.

Conclusion

This study shows the therapeutic efficacy of the quadruple OHA regimen T2DM and demonstrates that it can be an option for the management of T2DM patients who cannot use insulin or reject injectable therapy.

Citations

Citations to this article as recorded by

Estimating Type 2 Diabetes Prevalence: A Model of Drug Consumption Data
Rita Oliveira, Matilde Monteiro-Soares, José Pedro Guerreiro, Rúben Pereira, António Teixeira-Rodrigues
Pharmacy.2024; 12(1): 18. CrossRef
Disease burden and symptom management in type 2 diabetic patients: A phenomenological study
Sevgi Demir Çam, Sevda Uzun
Public Health Nursing.2024;[Epub] CrossRef
Efficacy and safety of enavogliflozin versus dapagliflozin added to metformin plus gemigliptin treatment in patients with type 2 diabetes: A double-blind, randomized, comparator-active study: ENHANCE-D study
Kyung-Soo Kim, Kyung Ah Han, Tae Nyun Kim, Cheol-Young Park, Jung Hwan Park, Sang Yong Kim, Yong Hyun Kim, Kee Ho Song, Eun Seok Kang, Chul Sik Kim, Gwanpyo Koh, Jun Goo Kang, Mi Kyung Kim, Ji Min Han, Nan Hee Kim, Ji Oh Mok, Jae Hyuk Lee, Soo Lim, Sang S
Diabetes & Metabolism.2023; 49(4): 101440. CrossRef
Effectiveness and safety of teneligliptin added to patients with type 2 diabetes inadequately controlled by oral triple combination therapy: A multicentre, randomized, double‐blind, and placebo‐controlled study
Minyoung Lee, Woo‐je Lee, Jae Hyeon Kim, Byung‐Wan Lee
Diabetes, Obesity and Metabolism.2022; 24(6): 1105. CrossRef
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
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

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

Citations to this article as recorded by

Efficacy and Safety of Alogliptin-Pioglitazone Combination for Type 2 Diabetes Mellitus Poorly Controlled with Metformin: A Multicenter, Double-Blind Randomized Trial
Ji-Yeon Park, Joonyub Lee, Yoon-Hee Choi, Kyung Wan Min, Kyung Ah Han, Kyu Jeung Ahn, Soo Lim, Young-Hyun Kim, Chul Woo Ahn, Kyung Mook Choi, Kun-Ho Yoon
Diabetes & Metabolism Journal.2024; 48(5): 915. CrossRef
Efficacy and Safety of Pioglitazone Add-on in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Metformin and Dapagliflozin: A Multicenter, Randomized, Double-blind, and Placebo-controlled Study
Yun Kyung Cho, Kyung-Soo Kim, Byung-Wan Lee, Jun Hwa Hong, Jae Myung Yu, Soo Lim, Ye An Kim, Chang Beom Lee, Sang Soo Kim, Soo Heon Kwak, Woo Je Lee
Clinical Therapeutics.2024; 46(9): 662. CrossRef
Pioglitazone as Add-on Therapy in Patients with Type 2 Diabetes Mellitus Inadequately Controlled with Dapagliflozin and Metformin: Double-Blind, Randomized, Placebo-Controlled Trial
Ji Hye Heo, Kyung Ah Han, Jun Hwa Hong, Hyun-Ae Seo, Eun-Gyoung Hong, Jae Myung Yu, Hye Seung Jung, Bong-Soo Cha
Diabetes & Metabolism Journal.2024; 48(5): 937. CrossRef
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
Medical Technologies. Assessment and Choice.2023; (3): 70. CrossRef
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

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
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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
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Regulation of mFABP (fatty acid binding protein) Expression by PPAR in Cultured Human Skeletal Muscle Cell.: Hyeosn Jeong Jeon, Won Shik Shinn, Jeong Mi Kim, Hye Kyung Hong, Kyong Soo Park, Seong Yeon Kim, Hong Kyu Lee; Korean Diabetes J. 2000;24(4):413-420. Published online January 1, 2001

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Abstract PDF: BACKGROUND
Fatty acid binding protein (FABP), putative mammalian fatty acid transporter, plays a role in fatty acid transport, the modulation of cellular signal transduction pathways and the protection against detergent like effects of fatty acids. FABP found in liver, adipose tissue, heart, skeletal muscle and FABP in skeletal muscle accounts for 2% of total protein mass. FABP expression has shown to be up-regulated by PPAR in liver and adipocyte. Adipocyte and liver FABP genes have a functional PPRE (PPAR responsive element) in their promoter region. This evidence led us to investigate for a possible the regulation of mFABP expression by PPAR in cultured human skeletal muscle cell. METHODS: Myoblast were cultured in SkGM for 4weeks and were differentiated into myocyte in MEM for 4days. The myocytes were treated with PPAR ligand (troglitazone: 5 g/mL) or transduction with adenovirus-PPAR 1 (Ad-PPAR 1). mFABP expression was identified by northern blot. RESULTS: mFABP expression was up-regulated by 4.0+/-1.2 fold in the PPAR ligand (p<0.05). There was increased in mFABP expression with transduction with adenovirus-PPAR 1 while there was no change in mFABP expression which transducted with adenovirus - -galactosidase. CONCLUSION: These results demonstrates that mFABP expression is up-regulated by both PPAR ligand and by PPAR 1 over expression in cultured human skeletal muscle cells.

Metabolic Phenotype of Glycogen Synthase Gene Inhibition in Human Skeletal Muscle Cells.: Jae Joon Koh, Kyong Soo Park, Jeong Mi Kim, Seong Yeon Kim, Hong Kyu Lee, Theodore P Ciaraldi, Robert R Henry; Korean Diabetes J. 2000;24(3):331-339. Published online January 1, 2001

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Abstract PDF: BACKGROUND
Glycogen synthase (GS) is the rate-limiting enzyme controlling non-oxidative glucose disposal in skeletal muscle. Reduction in GS activity and impaired insulin responsiveness are characteristic features of skeletal muscle in type 2 diabetes that contribute to glucose intolerance. These properties also exist in human skeletal muscle cell cultures from type 2 diabetic subjects. The aim of study is to determine the effect of an isolated reduction in GS on glucose metabolism and if this change can generate a diabetes-like state. METHODS: Cultured skeletal muscle cells from non-diabetic subjects were treated with antisense oligodeoxynucleotides (ODN) to GS to interfere with expression of the gene for 6 days. GS activity, protein expression, glycogen synthesis and cellular glycogen content were measured. RESULTS: Treatment with antisense ODN reduced GS protein expression by 70% compared to control (scrambled) ODN (p<0.01). Both total GS activity and that measured at 0.1 mM G-6-P were reduced by antisense ODN treatment. Insulin responsiveness of GS was also halved. Basal GS FV0.1 was decreased in both antisense ODN and control ODN treated cells and antisense treated cells did not show increase in GS FV0.1 in response to insulin stimulation. Glucose incorporation into glycogen under basal conditions was unaltered after antisense ODN treatment, though no further stimulation in response to insulin was observed. Yet both cellular glycogen content and glycogen synthesis were lower in antisense ODN treated cells compared to control ODN treated cells. CONCLUSIONS: Reduction in GS expression in human skeletal muscle cell impair GS activity and insulin responsiveness but does not replicate the abnormalities of glycogen synthesis found in cultured diabetic skeletal muscle cells.

Expression of Gal alpha1,3 Gal Antigen and Galactosyl Transferase mRNA in Porcine Neonatal Pancreatic Tissue.: Kyong Soo Park, Yoon Young Kim, Jeong Mi Kim, Yu Bae Ahn, Kun Ho Yoon, Bong Yun Cha, Ho Young Son, Hong Kyu Lee; Korean Diabetes J. 2000;24(3):323-330. Published online January 1, 2001

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Abstract PDF: BACKGROUND
Neonatal porcine pancreatic tissue may be a potential source of islet transplantation in patients with type 1 diabetes. Gal 1,3 Gal antigen (Gal epitope) is a xenoantigen which is responsible for hyperacute xenograft rejection. The aim of this study is to evaluate the expression of Gal epitope and galactosyl transferase mRNA in porcine neonatal pancreatic tissue. METHOD: Porcine neonatal pancreatic cell clusters (NPCCs) were isolated using collagenase and incubated in various culture condition. They were stained with Gal specific lectin for the detection of Gal epitope. Expression of 1,3 galactosyl transferase mRNA was assessed by semiquantitative RT-PCR. RESULTS: Gal epitope was expressed in both neonatal porcine pancreas and cell clusters. Most of Gal epitope expressed cells were endothelial cells and ductal epithelial cells. A small number of cells stained positive for insulin were also positive for Gal epitope. In some area of monolayer culture of porcine neonatal islet cluster, scattered insulin positive cells coexpressed the Gal epitope. The expression of 1,3 galactosyl transferase mRNA were lower in islet than other tissues. Culture using extracelluar matrix or 3D gel increased the expression of 1,3 galactosyl transferase mRNA levels. CONCLUSION: Gal epitope was expressed in ductal epithelial cells and some of beta cells of porcine neonatal pancreatic tissue. Expression of Gal epitope in porcine neonatal pancreatic cell cluster may be a problem that needs to be solved before porcine NPCCs can be used in human.

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