Skip Navigation
Skip to contents

Endocrinol Metab : Endocrinology and Metabolism

clarivate
OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
4 "Thiazolidinediones"
Filter
Filter
Article type
Keywords
Publication year
Authors
Funded articles
Original Articles
Bone Metabolism
Comparison of the Effects of Various Antidiabetic Medication on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus
Jeonghoon Ha, Yejee Lim, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Ho Song, Seung Hyun Ko, Moo Il Kang, Sung Dae Moon, Ki-Hyun Baek
Endocrinol Metab. 2021;36(4):895-903.   Published online August 9, 2021
DOI: https://doi.org/10.3803/EnM.2021.1026
  • 5,801 View
  • 216 Download
  • 4 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
Prospective comparative studies on the effects of various antidiabetic agents on bone metabolism are limited. This study aimed to assess changes in bone mass and biochemical bone markers in postmenopausal patients with type 2 diabetes mellitus (T2DM).
Methods
This prospective, multicenter, open-label, comparative trial included 264 patients with T2DM. Patients who had received a metformin, or sulfonylurea/metformin combination (Group 1); a thiazolidinedione combination (Group 2); a dipeptidyl peptidase-4 inhibitor (gemigliptin) combination (Group 3); or an sodium-glucose cotransporter 2 inhibitor (empagliflozin) combination (Group 4) were prospectively treated for 12 months; bone mineral density (BMD) and bone turnover marker (BTM) changes were evaluated.
Results
The femoral neck BMD percentage changes were −0.79%±2.86% (Group 1), −2.50%±3.08% (Group 2), −1.05%±2.74% (Group 3), and −1.24%±2.91% (Group 4) (P<0.05). The total hip BMD percentage changes were −0.57%±1.79% (Group 1), −1.74%±1.48% (Group 2), −0.75%±1.87% (Group 3), and −1.27%±1.72% (Group 4) (P<0.05). Mean serum BTM (C-terminal type 1 collagen telopeptide and procollagen type 1 amino-terminal propeptide) levels measured during the study period did not change over time or differ between groups.
Conclusion
Significant bone loss in the femoral neck and total hip was associated with thiazolidinedione combination regimens. However, bone loss was not significantly associated with combination regimens including gemigliptin or empagliflozin. Caution should be exercised during treatment with antidiabetic medications that adversely affect the bone in patients with diabetes at a high risk of bone loss.

Citations

Citations to this article as recorded by  
  • Meta-Analysis on the Association Between DPP-4 Inhibitors and Bone Mineral Density and Osteoporosis
    Lili Huang, Wei Zhong, Xinghuan Liang, Huijuan Wang, Shi-en Fu, Zuojie Luo
    Journal of Clinical Densitometry.2024; 27(1): 101455.     CrossRef
  • Association of Bone Turnover Markers with Type 2 Diabetes Mellitus and Microvascular Complications: A Matched Case-Control Study
    Yilin Hou, Xiaoyu Hou, Qian Nie, Qiuyang Xia, Rui Hu, Xiaoyue Yang, Guangyao Song, Luping Ren
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 1177.     CrossRef
  • Complementary effects of dapagliflozin and lobeglitazone on metabolism in a diet-induced obese mouse model
    Yun Kyung Lee, Tae Jung Oh, Ji In Lee, Bo Yoon Choi, Hyen Chung Cho, Hak Chul Jang, Sung Hee Choi
    European Journal of Pharmacology.2023; 957: 175946.     CrossRef
Close layer
Endocrine Research
Effects of Lobeglitazone, a New Thiazolidinedione, on Osteoblastogenesis and Bone Mineral Density in Mice
Kyoung Min Kim, Hyun-Jin Jin, Seo Yeon Lee, Hyo Jin Maeng, Gha Young Lee, Tae Jung Oh, Sung Hee Choi, Hak Chul Jang, Soo Lim
Endocrinol Metab. 2017;32(3):389-395.   Published online September 18, 2017
DOI: https://doi.org/10.3803/EnM.2017.32.3.389
  • 4,663 View
  • 50 Download
  • 11 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

Bone strength is impaired in patients with type 2 diabetes mellitus despite an increase in bone mineral density (BMD). Thiazolidinedione (TZD), a peroxisome proliferator activated receptor γ agonist, promotes adipogenesis, and suppresses osteoblastogenesis. Therefore, its use is associated with an increased risk of fracture. The aim of this study was to examine the in vitro and in vivo effects of lobeglitazone, a new TZD, on bone.

Methods

MC3T3E1 and C3H10T1/2 cells were cultured in osteogenic medium and exposed to lobeglitazone (0.1 or 1 µM), rosiglitazone (0.4 µM), or pioglitazone (1 µM) for 10 to 14 days. Alkaline phosphatase (ALP) activity, Alizarin red staining, and osteoblast marker gene expression were analyzed. For in vivo experiments, 6-month-old C57BL/6 mice were treated with vehicle, one of two doses of lobeglitazone, rosiglitazone, or pioglitazone. BMD was assessed using a PIXImus2 instrument at the baseline and after 12 weeks of treatment.

Results

As expected, in vitro experiments showed that ALP activity was suppressed and the mRNA expression of osteoblast marker genes RUNX2 (runt-related transcription factor 2) and osteocalcin was significantly attenuated after rosiglitazone treatment. By contrast, lobeglitazone at either dose did not inhibit these variables. Rosiglitazone-treated mice showed significantly accelerated bone loss for the whole bone and femur, but BMD did not differ significantly between the lobeglitazone-treated and vehicle-treated mice.

Conclusion

These findings suggest that lobeglitazone has no detrimental effects on osteoblast biology and might not induce side effects in the skeletal system.

Citations

Citations to this article as recorded by  
  • Efficacy and safety of novel thiazolidinedione lobeglitazone for managing type-2 diabetes a meta-analysis
    Deep Dutta, Saptarshi Bhattacharya, Manoj Kumar, Priyankar K. Datta, Ritin Mohindra, Meha Sharma
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(1): 102697.     CrossRef
  • Efficacy and safety of lobeglitazone, a new Thiazolidinedione, as compared to the standard of care in type 2 diabetes mellitus: A systematic review and meta-analysis
    Shashank R. Joshi, Saibal Das, Suja Xaviar, Shambo Samrat Samajdar, Indranil Saha, Sougata Sarkar, Shatavisa Mukherjee, Santanu Kumar Tripathi, Jyotirmoy Pal, Nandini Chatterjee
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(1): 102703.     CrossRef
  • A Real-World Study of Long-Term Safety and Efficacy of Lobeglitazone in Korean Patients with Type 2 Diabetes Mellitus
    Bo-Yeon Kim, Hyuk-Sang Kwon, Suk Kyeong Kim, Jung-Hyun Noh, Cheol-Young Park, Hyeong-Kyu Park, Kee-Ho Song, Jong Chul Won, Jae Myung Yu, Mi Young Lee, Jae Hyuk Lee, Soo Lim, Sung Wan Chun, In-Kyung Jeong, Choon Hee Chung, Seung Jin Han, Hee-Seok Kim, Ju-Y
    Diabetes & Metabolism Journal.2022; 46(6): 855.     CrossRef
  • Comparative Efficacy of Lobeglitazone Versus Pioglitazone on Albuminuria in Patients with Type 2 Diabetes Mellitus
    Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park
    Diabetes Therapy.2021; 12(1): 171.     CrossRef
  • Lobeglitazone: A Novel Thiazolidinedione for the Management of Type 2 Diabetes Mellitus
    Jaehyun Bae, Taegyun Park, Hyeyoung Kim, Minyoung Lee, Bong-Soo Cha
    Diabetes & Metabolism Journal.2021; 45(3): 326.     CrossRef
  • Effect of lobeglitazone on motor function in rat model of Parkinson’s disease with diabetes co-morbidity
    Kambiz Hassanzadeh, Arman Rahimmi, Mohammad Raman Moloudi, Rita Maccarone, Massimo Corbo, Esmael Izadpanah, Marco Feligioni
    Brain Research Bulletin.2021; 173: 184.     CrossRef
  • Comparison of the Effects of Various Antidiabetic Medication on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus
    Jeonghoon Ha, Yejee Lim, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Ho Song, Seung Hyun Ko, Moo Il Kang, Sung Dae Moon, Ki-Hyun Baek
    Endocrinology and Metabolism.2021; 36(4): 895.     CrossRef
  • Xenogeneic native decellularized matrix carrying PPARγ activator RSG regulating macrophage polarization to promote ligament-to-bone regeneration
    Xue Han, Lijun Liao, Tian Zhu, Yuchan Xu, Fei Bi, Li Xie, Hui Li, Fangjun Huo, Weidong Tian, Weihua Guo
    Materials Science and Engineering: C.2020; 116: 111224.     CrossRef
  • Diabetes pharmacotherapy and effects on the musculoskeletal system
    Evangelia Kalaitzoglou, John L. Fowlkes, Iuliana Popescu, Kathryn M. Thrailkill
    Diabetes/Metabolism Research and Reviews.2019;[Epub]     CrossRef
  • The effects of diabetes therapy on bone: A clinical perspective
    Karim G. Kheniser, Carmen M. Polanco Santos, Sangeeta R. Kashyap
    Journal of Diabetes and its Complications.2018; 32(7): 713.     CrossRef
Close layer
Effects of Vildagliptin or Pioglitazone on Glycemic Variability and Oxidative Stress in Patients with Type 2 Diabetes Inadequately Controlled with Metformin Monotherapy: A 16-Week, Randomised, Open Label, Pilot Study
Nam Hoon Kim, Dong-Lim Kim, Kyeong Jin Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim
Endocrinol Metab. 2017;32(2):241-247.   Published online June 23, 2017
DOI: https://doi.org/10.3803/EnM.2017.32.2.241
  • 4,532 View
  • 92 Download
  • 23 Web of Science
  • 23 Crossref
AbstractAbstract PDFPubReader   
Background

Glycemic variability is associated with the development of diabetic complications through the activation of oxidative stress. This study aimed to evaluate the effects of a dipeptidyl peptidase 4 inhibitor, vildagliptin, or a thiazolidinedione, pioglitazone, on glycemic variability and oxidative stress in patients with type 2 diabetes.

Methods

In this open label, randomised, active-controlled, pilot trial, individuals who were inadequately controlled with metformin monotherapy were assigned to either vildagliptin (50 mg twice daily, n=17) or pioglitazone (15 mg once daily, n=14) treatment groups for 16 weeks. Glycemic variability was assessed by calculating the mean amplitude of glycemic excursions (MAGE), which was obtained from continuous glucose monitoring. Urinary 8-iso prostaglandin F2α, serum oxidised low density lipoprotein, and high-sensitivity C-reactive protein were used as markers of oxidative stress or inflammation.

Results

Both vildagliptin and pioglitazone significantly reduced glycated hemoglobin and mean plasma glucose levels during the 16-week treatment. Vildagliptin also significantly reduced the MAGE (from 93.8±38.0 to 70.8±19.2 mg/dL, P=0.046), and mean standard deviation of 24 hours glucose (from 38±17.3 to 27.7±6.9, P=0.026); however, pioglitazone did not, although the magnitude of decline was similar in both groups. Markers of oxidative stress or inflammation including urinary 8-iso prostaglandin F2α did not change after treatment in both groups.

Conclusion

In this 16-week treatment trial, vildagliptin, but not pioglitazone, reduced glycemic variability in individuals with type 2 diabetes who was inadequately controlled with metformin monotherapy, although a reduction of oxidative stress markers was not observed.

Citations

Citations to this article as recorded by  
  • What is Glycaemic Variability and which Pharmacological Treatment Options are Effective? A Narrative Review
    Juan Miguel Huertas Cañas, Maria Alejandra Gomez Gutierrez, Andres Bedoya Ossa
    European Endocrinology.2023; 19(2): 4.     CrossRef
  • Glycemic Variability, Glycated Hemoglobin, and Cardiovascular Complications: Still a Dilemma in Clinical Practice
    Antonio Ceriello, Ali A. Rizvi, Manfredi Rizzo
    Advances in Therapy.2022; 39(1): 1.     CrossRef
  • Contrasting Three Non-hypoglycemic Antidiabetic Drug Effects on Glycemic Control in Newly Diagnosed Type II Diabetes Mellitus: An Experimental Study
    Abdulhamza Hmood, Mohammed Almasoody, Hameed Hussein Al-Jameel
    Open Access Macedonian Journal of Medical Sciences.2022; 10(B): 506.     CrossRef
  • Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
    SuA Oh, Sujata Purja, Hocheol Shin, Minji Kim, Eunyoung Kim
    Diabetes and Vascular Disease Research.2022; 19(3): 147916412211068.     CrossRef
  • Influence of dipeptidyl peptidase-4 inhibitors on glycemic variability in patients with type 2 diabetes: A meta-analysis of randomized controlled trials
    Shangyu Chai, Ruya Zhang, Ye Zhang, Richard David Carr, Yiman Zheng, Swapnil Rajpathak, Miao Yu
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Comparison of Efficacy of Glimepiride, Alogliptin, and Alogliptin-Pioglitazone as the Initial Periods of Therapy in Patients with Poorly Controlled Type 2 Diabetes Mellitus: An Open-Label, Multicenter, Randomized, Controlled Study
    Hae Jin Kim, In Kyung Jeong, Kyu Yeon Hur, Soo-Kyung Kim, Jung Hyun Noh, Sung Wan Chun, Eun Seok Kang, Eun-Jung Rhee, Sung Hee Choi
    Diabetes & Metabolism Journal.2022; 46(5): 689.     CrossRef
  • Effect of low dose allopurinol on glycemic control and glycemic variability in patients with type 2 diabetes mellitus: A cross-sectional study
    Manal M. Alem
    Heliyon.2022; 8(11): e11549.     CrossRef
  • Effect of hydroxychloroquine on glycemic variability in type 2 diabetes patients uncontrolled on glimepiride and metformin therapy
    Rajesh Rajput, Suyasha Saini, Siddhant Rajput, Parankush Upadhyay
    Indian Journal of Endocrinology and Metabolism.2022; 26(6): 537.     CrossRef
  • Effect of Dapagliflozin as an Add-on Therapy to Insulin on the Glycemic Variability in Subjects with Type 2 Diabetes Mellitus (DIVE): A Multicenter, Placebo-Controlled, Double-Blind, Randomized Study
    Seung-Hwan Lee, Kyung-Wan Min, Byung-Wan Lee, In-Kyung Jeong, Soon-Jib Yoo, Hyuk-Sang Kwon, Yoon-Hee Choi, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2021; 45(3): 339.     CrossRef
  • Comprehensive elaboration of glycemic variability in diabetic macrovascular and microvascular complications
    Bao Sun, Zhiying Luo, Jiecan Zhou
    Cardiovascular Diabetology.2021;[Epub]     CrossRef
  • CGMS and Glycemic Variability, Relevance in Clinical Research to Evaluate Interventions in T2D, a Literature Review
    Anne-Esther Breyton, Stéphanie Lambert-Porcheron, Martine Laville, Sophie Vinoy, Julie-Anne Nazare
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
  • Efficacy and safety profile of sitagliptin, vildagliptin, and metformin in newly diagnosed type 2 diabetic subjects
    Sahar Hossam Elhini, Amal K. Hussien, Ahmed Abd Elsamie Omran, Asmaa A. Elsayed, Haitham saeed
    Clinical and Experimental Pharmacology and Physiology.2021; 48(12): 1589.     CrossRef
  • Vildagliptin ameliorates renal injury in type 2 diabetic rats by suppressing oxidative stress
    Fariba Aghahoseini, Alireza Alihemmati, Leila Hosseini, Reza Badalzadeh
    Journal of Diabetes & Metabolic Disorders.2020; 19(2): 701.     CrossRef
  • Small changes in glucose variability induced by low and high glycemic index diets are not associated with changes in β-cell function in adults with pre-diabetes
    Kristina M. Utzschneider, Tonya N. Johnson, Kara L. Breymeyer, Lisa Bettcher, Daniel Raftery, Katherine M. Newton, Marian L. Neuhouser
    Journal of Diabetes and its Complications.2020; 34(8): 107586.     CrossRef
  • Comparison of the effects of gemigliptin and dapagliflozin on glycaemic variability in type 2 diabetes: A randomized, open‐label, active‐controlled, 12‐week study (STABLE II study)
    Soo Heon Kwak, You‐Cheol Hwang, Jong Chul Won, Ji Cheol Bae, Hyun Jin Kim, Sunghwan Suh, Eun Young Lee, Subin Lee, Sang‐Yong Kim, Jae Hyeon Kim
    Diabetes, Obesity and Metabolism.2020; 22(2): 173.     CrossRef
  • Glycemic variability: adverse clinical outcomes and how to improve it?
    Zheng Zhou, Bao Sun, Shiqiong Huang, Chunsheng Zhu, Meng Bian
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Anti-inflammatory properties of antidiabetic drugs: A “promised land” in the COVID-19 era?
    Niki Katsiki, Ele Ferrannini
    Journal of Diabetes and its Complications.2020; 34(12): 107723.     CrossRef
  • Impact of long-term glucose variability on coronary atherosclerosis progression in patients with type 2 diabetes: a 2.3 year follow-up study
    Suhua Li, Xixiang Tang, Yanting Luo, Bingyuan Wu, Zhuoshan Huang, Zexiong Li, Long Peng, Yesheng Ling, Jieming Zhu, Junlin Zhong, Jinlai Liu, Yanming Chen
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Visit-to-visit fasting plasma glucose variability is an important risk factor for long-term changes in left cardiac structure and function in patients with type 2 diabetes
    Xixiang Tang, Junlin Zhong, Hui Zhang, Yanting Luo, Xing Liu, Long Peng, Yanling Zhang, Xiaoxian Qian, Boxiong Jiang, Jinlai Liu, Suhua Li, Yanming Chen
    Cardiovascular Diabetology.2019;[Epub]     CrossRef
  • Effect of dipeptidyl-peptidase-4 inhibitors on C-reactive protein in patients with type 2 diabetes: a systematic review and meta-analysis
    Xin Liu, Peng Men, Bo Wang, Gaojun Cai, Zhigang Zhao
    Lipids in Health and Disease.2019;[Epub]     CrossRef
  • Efficacy and Safety of Pioglitazone Monotherapy in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomised Controlled Trials
    Fahmida Alam, Md. Asiful Islam, Mafauzy Mohamed, Imran Ahmad, Mohammad Amjad Kamal, Richard Donnelly, Iskandar Idris, Siew Hua Gan
    Scientific Reports.2019;[Epub]     CrossRef
  • Effect of DPP-IV Inhibitors on Glycemic Variability in Patients with T2DM: A Systematic Review and Meta-Analysis
    Subin Lee, Heeyoung Lee, Yoonhye Kim, EunYoung Kim
    Scientific Reports.2019;[Epub]     CrossRef
  • Glycemic Variability: How to Measure and Its Clinical Implication for Type 2 Diabetes
    Guillermo E. Umpierrez, Boris P. Kovatchev
    The American Journal of the Medical Sciences.2018; 356(6): 518.     CrossRef
Close layer
Role of Pexoxisome Proliferator Activated Receptor Gamma in Growth Regulation of Thyroid Cancer Cells.
Tae Yong Kim, Ja Young Song, Young Kee Shong, Won Bae Kim
J Korean Endocr Soc. 2004;19(5):511-521.   Published online October 1, 2004
  • 974 View
  • 18 Download
AbstractAbstract PDF
BACKGROUND
There is currently no effective option for the treatment of poorly differentiated thyroid carcinomas, so further studies are needed to evaluate new therapeutics. Thiazolinedione, an agonist of peroxisome proliferator activated receptor gamma (PPAR ), is known to suppress the growth of various tumor cell lines. This study was conducted to see if PPAR is involved in growth regulation of poorly differentiated thyroid cancer cells. SUBJECT AND METHODS: Thyroid cancer cell lines with a low degree differentiation, such as ARO and FRO cells were used, and their expression of PPAR mRNA checked. The effects of known agonists (rosiglitazone and 15-deoxy-delta12,14-prostglandin (15d-PGJ2)) and antagonists for PPAR (bisphenol A diglycidyl ether (BADGE)) on the growth of thyroid cancer cell lines expressing PPAR were evaluated by various methods, such as the methylthiazoletetrazolium bromide (MTT) assay, cell counts, and [3H]thymidine uptake. RESULTS: The expressions of PPAR were higher in ARO and FRO cells than in those of normal thyroid. Form the results of the MTT assay, the survival of ARO and FRO cells were found to decrease after administration of rosiglitazone or 15d-PGJ2. However, no change was observed after administration of BADGE. When the effect of rosiglitazone was evaluated by cell counting, there was significant decrease in number of ARO and FRO cells, but no change was observed after administration of 15d-PGJ2. Similar results were obtained using [3H]thymidine uptake. Thus, rosiglitazone treatment significantly decreased the [3H]thymidine uptake, whereas 15d-PGJ2 showed no significant effect. CONCLUSION: PPAR agonists (rosiglitazone and 15dPG-J2) suppressed the survival of ARO and FRO cells, undifferentiated thyroid cancer cell lines, with increased expressions of PPAR . However, the cell count and [3H] thymidine uptake were affected by rosiglitazone, but not by 15dPG-J2. This might suggest the antiproliferative effects of rosiglitazone are independent of PPAR ; and therefore, mediated by another unknown mechanism
Close layer

Endocrinol Metab : Endocrinology and Metabolism