Diabetes & Metabolism Journal

Original Articles

Basic Research
Hypoxia Increases β-Cell Death by Activating Pancreatic Stellate Cells within the Islet: Jong Jin Kim, Esder Lee, Gyeong Ryul Ryu, Seung-Hyun Ko, Yu-Bae Ahn, Ki-Ho Song; Diabetes Metab J. 2020;44(6):919-927. Published online May 11, 2020; DOI: https://doi.org/10.4093/dmj.2019.0181

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Background

Hypoxia can occur in pancreatic islets in type 2 diabetes mellitus. Pancreatic stellate cells (PSCs) are activated during hypoxia. Here we aimed to investigate whether PSCs within the islet are also activated in hypoxia, causing β-cell injury.

Methods

Islet and primary PSCs were isolated from Sprague Dawley rats, and cultured in normoxia (21% O₂) or hypoxia (1% O₂). The expression of α-smooth muscle actin (α-SMA), as measured by immunostaining and Western blotting, was used as a marker of PSC activation. Conditioned media (hypoxia-CM) were obtained from PSCs cultured in hypoxia.

Results

Islets and PSCs cultured in hypoxia exhibited higher expressions of α-SMA than did those cultured in normoxia. Hypoxia increased the production of reactive oxygen species. The addition of N-acetyl-L-cysteine, an antioxidant, attenuated the hypoxia-induced PSC activation in islets and PSCs. Islets cultured in hypoxia-CM showed a decrease in cell viability and an increase in apoptosis.

Conclusion

PSCs within the islet are activated in hypoxia through oxidative stress and promote islet cell death, suggesting that hypoxia-induced PSC activation may contribute to β-cell loss in type 2 diabetes mellitus.

Citations

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Effects of hypoxia in the diabetic corneal stroma microenvironment
Purnima Sharma, Jian-Xing Ma, Dimitrios Karamichos
Experimental Eye Research.2024; 240: 109790. CrossRef
Visualizing hypoxic modulation of beta cell secretions via a sensor augmented oxygen gradient
Kai Duan, Mengyang Zhou, Yong Wang, Jose Oberholzer, Joe F. Lo
Microsystems & Nanoengineering.2023;[Epub] CrossRef
Pancreatic stellate cells promote pancreatic β-cell death through exosomal microRNA transfer in hypoxia
Esder Lee, Gyeong Ryul Ryu, Seung-Hyun Ko, Yu-Bae Ahn, Ki-Ho Song
Molecular and Cellular Endocrinology.2023; 572: 111947. CrossRef
Pancreatic stellate cells in pancreatic cancer: as potential targets for future therapy
Zhengfeng Wang, Ru He, Shi Dong, Wence Zhou
Frontiers in Oncology.2023;[Epub] CrossRef
Recent advances in the development of bioartificial pancreas using 3D bioprinting for the treatment of type 1 diabetes: a review
Anushikha Ghosh, Arka Sanyal, Abhik Mallick
Exploration of Medicine.2023; : 886. CrossRef
Pancreas and islet morphology in cystic fibrosis: clues to the etiology of cystic fibrosis-related diabetes
Sarah S. Malik, Diksha Padmanabhan, Rebecca L. Hull-Meichle
Frontiers in Endocrinology.2023;[Epub] CrossRef
Diabetic mellitus, vascular calcification and hypoxia: A complex and neglected tripartite relationship
Xue-Jiao Sun, Nai-Feng Liu
Cellular Signalling.2022; 91: 110219. CrossRef
HIF-1 and NRF2; Key Molecules for Malignant Phenotypes of Pancreatic Cancer
Shin Hamada, Ryotaro Matsumoto, Atsushi Masamune
Cancers.2022; 14(2): 411. CrossRef
Pancreatic Stellate Cells and Metabolic Alteration: Physiology and Pathophysiology
Shin Hamada, Ryotaro Matsumoto, Atsushi Masamune
Frontiers in Physiology.2022;[Epub] CrossRef
Exosomal miR-140–3p and miR-143–3p from TGF-β1-treated pancreatic stellate cells target BCL2 mRNA to increase β-cell apoptosis
Xiangyun Zhu, Dechen Liu, Guoqing Li, Mengmeng Zhi, Ji Sun, Liang Qi, Jingbo Li, Stephen J. Pandol, Ling Li
Molecular and Cellular Endocrinology.2022; 551: 111653. CrossRef
Mitochondria oxidative stress mediated nicotine-promoted activation of pancreatic stellate cells by regulating mitochondrial dynamics
Yue Yuan, Zhiren Li, Miaomiao Li, Tong Jin, Xiaoyun Zhang, Xinjuan Liu, Jianyu Hao
Toxicology in Vitro.2022; 84: 105436. CrossRef
Antioxidant Mitoquinone Alleviates Chronic Pancreatitis via Anti-Fibrotic and Antioxidant Effects
Miaomiao Li, Yue Yuan, Xue Han, Xinjuan Liu, Weizhen Zhang, Jianyu Hao
Journal of Inflammation Research.2022; Volume 15: 4409. CrossRef
Diabetic Ferroptosis and Pancreatic Cancer: Foe or Friend?
Le Li, Xing-jia Yu, Lei Gao, Long Cheng, Bei Sun, Gang Wang
Antioxidants & Redox Signaling.2022; 37(16-18): 1206. CrossRef
Melatonin Induces Apoptosis and Modulates Cyclin Expression and MAPK Phosphorylation in Pancreatic Stellate Cells Subjected to Hypoxia
Matias Estaras, Manuel R. Gonzalez-Portillo, Miguel Fernandez-Bermejo, Jose M. Mateos, Daniel Vara, Gerardo Blanco-Fernandez, Diego Lopez-Guerra, Vicente Roncero, Gines M. Salido, Antonio González
International Journal of Molecular Sciences.2021; 22(11): 5555. CrossRef
Integrated pancreatic microcirculatory profiles of streptozotocin‐induced and insulin‐administrated type 1 diabetes mellitus
Yuan Li, Bingwei Li, Bing Wang, Mingming Liu, Xiaoyan Zhang, Ailing Li, Jian Zhang, Honggang Zhang, Ruijuan Xiu
Microcirculation.2021;[Epub] CrossRef
Pancreatic stellate cells - rising stars in pancreatic pathologies
P Hrabák, M Kalousová, T Krechler, T Zima
Physiological Research.2021; (S4): S597. CrossRef

Complications
The Association between Pancreatic Steatosis and Diabetic Retinopathy in Type 2 Diabetes Mellitus Patients: Jee Sun Jeong, Mee Kyung Kim, Kyung Do Han, Oak Kee Hong, Ki-Hyun Baek, Ki-Ho Song, Dong Jin Chung, Jung-Min Lee, Hyuk-Sang Kwon; Diabetes Metab J. 2018;42(5):425-432. Published online August 9, 2018; DOI: https://doi.org/10.4093/dmj.2017.0107

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Background

Whether pancreatic steatosis has a local or systemic effect, like ectopic fat of other major organs, remains unknown. Data on the influence of pancreatic steatosis on microvascular complication are rare. Therefore, we investigated the relationship between pancreatic steatosis and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).

Methods

The attenuation of three pancreatic regions (head, body, and tail) and the spleen (S) in 186 patients with T2DM was measured using non-enhanced computed tomography imaging. We used three parameters for the assessment of pancreatic steatosis (‘P’ mean: mean attenuation of three pancreatic regions; P–S: difference between ‘P’ mean and ‘S’; P/S: the ‘P’ mean to ‘S’ ratio). The presence of DR was assessed by an expert ophthalmologist using dilated fundoscopy.

Results

The average P mean was 29.02 Hounsfield units (HU), P–S was −18.20 HU, and P/S was 0.61. The three pancreatic steatosis parameters were significantly associated with the prevalence of DR in non-obese T2DM patients. In the non-obese group, the odds ratios of P mean, P–S, and P/S for the prevalence of DR, after adjustment for age, sex, and glycosylated hemoglobin level, were 2.449 (P=0.07), 2.639 (P=0.04), and 2.043 (P=0.02), respectively.

Conclusion

In this study, pancreatic steatosis was significantly associated with DR in non-obese patients with T2DM. Further studies are necessary to clarify the causal relationship between pancreatic steatosis and the development of DR.

Citations

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Intra‐pancreatic fat is associated with continuous glucose monitoring metrics
Yutong Liu, Wandia Kimita, Xiatiguli Shamaitijiang, Loren Skudder‐Hill, Ivana R. Sequeira‐Bisson, Maxim S. Petrov
Diabetes, Obesity and Metabolism.2024; 26(6): 2359. CrossRef
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Jianliang Wang, Qingyun Cai, Xiaojuan Wu, Jiaxuan Wang, Xiaona Chang, Xiaoyu Ding, Jia Liu, Guang Wang, Muhittin Yurekli
International Journal of Endocrinology.2023; 2023: 1. CrossRef
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Bedriye Koyuncu Sokmen, Tolga Sahin, Alihan Oral, Erdem Kocak, Nagihan Inan
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Computed Tomography-Estimated Pancreatic Steatosis is Associated with Carotid Plaque in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study from China
Pengtao Sun, Chunzhi Fan, Rengui Wang, Tongwei Chu, Xiaoli Sun, Dongxue Zhang, Xuechao Du
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 1329. CrossRef

Complications
Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea: Jae-Seung Yun, Tae-Seok Lim, Seon-Ah Cha, Yu-Bae Ahn, Ki-Ho Song, Jin A Choi, Jinwoo Kwon, Donghyun Jee, Yang Kyung Cho, Yong-Moon Park, Seung-Hyun Ko; Diabetes Metab J. 2016;40(6):482-493. Published online October 5, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.6.482

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Background

We investigated clinical course and risk factors for diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).

Methods

A total of 759 patients with T2DM without DR were included from January 2001 to December 2004. Retinopathy evaluation was performed at least annually by ophthalmologists. The severity of the DR was classified into five categories according to the International Clinical Diabetic Retinopathy Severity Scales.

Results

Of the 759 patients, 523 patients (68.9%) completed the follow-up evaluation. During the follow-up period, 235 patients (44.9%) developed DR, and 32 patients (13.6%) progressed to severe nonproliferative DR (NPDR) or proliferative DR (PDR). The mean duration of diabetes at the first diagnosis of mild NPDR, moderate NPDR, and severe NPDR or PDR were 14.8, 16.7, and 17.3 years, respectively. After adjusting multiple confounding factors, the significant risk factors for the incidence of DR risk in patients with T2DM were old age, longer duration of diabetes, higher mean glycosylated hemoglobin (HbA1c), and albuminuria. Even in the patients who had been diagnosed with diabetes for longer than 10 years at baseline, a decrease in HbA1c led to a significant reduction in the risk of developing DR (hazard ratio, 0.73 per 1% HbA1c decrement; 95% confidence interval, 0.58 to 0.91; P=0.005).

Conclusion

This prospective cohort study demonstrates that glycemic control, diabetes duration, age, and albuminuria are important risk factors for the development of DR. More aggressive retinal screening for T2DM patients diagnosed with DR should be required in order to not miss rapid progression of DR.

Citations

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World Journal of Diabetes.2022; 13(11): 986. CrossRef
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Iranian South Medical Journal.2022; 25(1): 30. CrossRef
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Tsai-Tung Chiu, Tien-Lung Tsai, Mei-Yin Su, Tsan Yang, Peng-Lin Tseng, Yau-Jiunn Lee, Chao-Hsien Lee
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Dandan Song, Chengqian Li, Zhongchao Wang, Yuhang Zhao, Baoming Shen, Wenjuan Zhao
Journal of Diabetes Investigation.2021; 12(8): 1471. CrossRef
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Likathung Ngullie, Bratatee Roy, Sayantan Ghosh, Sneha Jain, Lakshmi Kanta Mondal
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AJin Cho, Hayne Cho Park, Young-Ki Lee, Young Joo Shin, So Hyun Bae, Hakyoung Kim
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Milena Kozioł, Michał S. Nowak, Monika Udziela, Paweł Piątkiewicz, Iwona Grabska-Liberek, Jacek P. Szaflik
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Awareness of diabetic retinopathy among Saudis with diabetes type 2 in Riyadh city
YousefM Alluhaymid, FawzanY Alotaibi, AbdulmajeedB Alotaibi, AbdullahM Albasha, AbdulrahmanS Alnaim, EssaM Sabi, AhmedH Mujamammi
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Yanli Liu, Chunwen Duan, Dejia Fang, Yi Liu, Hanchun Xu, Yarong Zheng, Yaling Xuan, Lili Wang, Lin Ye, Rui Su, Meixia An
Journal of Diabetes and its Complications.2019; 33(10): 107383. CrossRef
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RNA sequencing identified specific circulating miRNA biomarkers for early detection of diabetes retinopathy
Zhen Liang, Kai P. Gao, Yi X. Wang, Zi C. Liu, Li Tian, Xin Z. Yang, Jing Y. Ding, Wei T. Wu, Wen H. Yang, Yi L. Li, Ze B. Zhang, Ri H. Zhai
American Journal of Physiology-Endocrinology and Metabolism.2018; 315(3): E374. CrossRef
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Scientific Reports.2018;[Epub] CrossRef
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Ping Zhu, Xiong-Fei Pan, Liting Sheng, Henggui Chen, An Pan
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Diabetes & Metabolism Journal.2017; 41(1): 75. CrossRef
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Complications
Baseline-Corrected QT (QTc) Interval Is Associated with Prolongation of QTc during Severe Hypoglycemia in Patients with Type 2 Diabetes Mellitus: Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Yoon-Goo Kang, Kang-Min Lee, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn; Diabetes Metab J. 2016;40(6):463-472. Published online October 5, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.6.463

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Background

We investigated an association between baseline heart rate-corrected QT (QTc) interval before severe hypoglycemia (SH) and prolongation of QTc interval during SH in patients with type 2 diabetes mellitus (T2DM).

Methods

Between January 2004 and June 2014, 208 patients with T2DM, who visited the emergency department because of SH and underwent standard 12-lead electrocardiography within the 6-month period before SH were consecutively enrolled. The QTc interval was analyzed during the incidence of SH, and 6 months before and after SH. QTc intervals of 450 ms or longer in men and 460 ms or longer in women were considered abnormally prolonged.

Results

The mean age and diabetes duration were 68.1±12.1 and 14.1±10.1 years, respectively. The mean QTc intervals at baseline and SH episodes were 433±33 and 460±33 ms, respectively (P<0.001). One hundred and fourteen patients (54.8%) had a prolonged QTc interval during SH. There was a significant decrease in the prolonged QTc interval within 6 months after SH (QTc interval prolongation during SH vs. after recovery, 54.8% vs. 33.8%, P<0.001). The prolonged QTc interval was significantly associated with baseline QTc interval prolongation (odds ratio, 2.92; 95% confidence interval, 1.22 to 6.96; P=0.016) after adjusting for multiple confounders.

Conclusion

A prolonged QTc interval at baseline was significantly associated with prolongation of the QTc interval during SH in patients with T2DM, suggesting the necessity of QTc interval monitoring and attention to those with a prolonged QTc interval to prevent SH.

Citations

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Prevalence of QT prolongation and its risk factors in patients with type 2 diabetes
Khaled Aburisheh, Mohammad F. AlKheraiji, Saleh I. Alwalan, Arthur C. Isnani, Mohamed Rafiullah, Muhammad Mujammami, Assim A. Alfadda
BMC Endocrine Disorders.2023;[Epub] CrossRef
U-shaped association between the triglyceride–glucose index and atrial fibrillation incidence in a general population without known cardiovascular disease
Xiao Liu, Ayiguli Abudukeremu, Yuan Jiang, Zhengyu Cao, Maoxiong Wu, Jianyong Ma, Runlu Sun, Wanbing He, Zhiteng Chen, Yangxin Chen, Peng Yu, Wengen Zhu, Yuling Zhang, Jingfeng Wang
Cardiovascular Diabetology.2023;[Epub] CrossRef
Celebrities in the heart, strangers in the pancreatic beta cell: Voltage‐gated potassium channels Kv7.1 and Kv11.1 bridge long QT syndrome with hyperinsulinaemia as well as type 2 diabetes
Anniek F. Lubberding, Christian R. Juhl, Emil Z. Skovhøj, Jørgen K. Kanters, Thomas Mandrup‐Poulsen, Signe S. Torekov
Acta Physiologica.2022;[Epub] CrossRef
Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
Seung-Hyun Ko
Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106. CrossRef
Heart rate-corrected QT interval prolongation is associated with decreased heart rate variability in patients with type 2 diabetes
Seon-Ah Cha
Medicine.2022; 101(45): e31511. CrossRef
Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
Soo-Yeon Choi, Seung-Hyun Ko
The Korean Journal of Internal Medicine.2021; 36(2): 263. CrossRef
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Ting Cao, Xiong Zhang, Dan Yang, Yue-Qian Wang, Zheng-Dong Qiao, Jian-Ming Huang, Peng Zhang
Biochemical and Biophysical Research Communications.2018; 495(1): 693. CrossRef
Severe hypoglycemia is a risk factor for atrial fibrillation in type 2 diabetes mellitus: Nationwide population-based cohort study
Seung-Hyun Ko, Yong-Moon Park, Jae-Seung Yun, Seon-Ah Cha, Eue-Keun Choi, Kyungdo Han, Eugene Han, Yong-ho Lee, Yu-Bae Ahn
Journal of Diabetes and its Complications.2018; 32(2): 157. CrossRef
Incidence of prolonged QTc and severe hypoglycemia in type 1 diabetes: the EURODIAB Prospective Complications Study
Cristina Amione, Sara Giunti, Paolo Fornengo, Sabita S. Soedamah-Muthu, Nish Chaturvedi, J. H. Fuller, Federica Barutta, Gabriella Gruden, Graziella Bruno
Acta Diabetologica.2017; 54(9): 871. CrossRef

Complications
Risk Factors for the Development and Progression of Diabetic Kidney Disease in Patients with Type 2 Diabetes Mellitus and Advanced Diabetic Retinopathy: Kyung-Jin Yun, Hye Ji Kim, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Hyun Baek, Young Jung Roh, Ki-Ho Song; Diabetes Metab J. 2016;40(6):473-481. Published online September 20, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.6.473

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Background

Some patients with type 2 diabetes mellitus (T2DM) do not develop diabetic kidney disease (DKD) despite the presence of advanced diabetic retinopathy (DR). We aimed to investigate the presence of DKD and its risk factors in patients with T2DM and advanced DR.

Methods

We conducted a cross-sectional study in 317 patients with T2DM and advanced DR. The phenotypes of DKD were divided into three groups according to the urine albumin/creatinine ratio (uACR, mg/g) and estimated glomerular filtration rate (eGFR, mL/min/1.73 m²): no DKD (uACR <30 and eGFR ≥60), non-severe DKD (uACR ≥30 or eGFR <60), and severe DKD (uACR ≥30 and eGFR <60). Mean systolic and diastolic blood pressure, mean glycosylated hemoglobin (HbA1c) level, and HbA1c variability (standard deviation [SD] of serial HbA1c values or HbA1c-SD) were calculated for the preceding 2 years.

Results

The prevalence of no DKD, non-severe DKD, and severe DKD was 37.2% (n=118), 37.0% (n=117), and 25.8% (n=82), respectively. HbA1c-SD and the triglyceride/high density lipoprotein cholesterol (TG/HDL-C) ratio correlated positively with uACR and negatively with eGFR. Multiple linear regression analyses showed that the HbA1c-SD and TG/HDL-C ratio were significantly related with eGFR. Multiple logistic regression analyses after adjusting for several risk factors showed that HbA1c-SD and the TG/HDL-C ratio were significant risk factors for severe DKD.

Conclusion

The prevalence of DKD was about 60% in patients with T2DM and advanced DR. HbA1c variability and TG/HDL-C ratio may affect the development and progression of DKD in these patients.

Citations

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Journal of Diabetes Investigation.2019; 10(3): 745. CrossRef
Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients
Marsida Teliti, Giulia Cogni, Lucia Sacchi, Arianna Dagliati, Simone Marini, Valentina Tibollo, Pasquale De Cata, Riccardo Bellazzi, Luca Chiovato
Diabetes and Vascular Disease Research.2018; 15(5): 424. CrossRef
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Diabetes & Metabolism Journal.2018; 42(3): 224. CrossRef
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Diabetes & Metabolism Journal.2016; 40(6): 444. CrossRef

Complications
Severe Hypoglycemia and Cardiovascular or All-Cause Mortality in Patients with Type 2 Diabetes: Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Seawon Hwang, Eun-Jung Yim, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko; Diabetes Metab J. 2016;40(3):202-210. Published online April 5, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.3.202

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Abstract PDF PubReader

Background

We investigated the association between severe hypoglycemia (SH) and the risk of cardiovascular (CV) or all-cause mortality in patients with type 2 diabetes.

Methods

The study included 1,260 patients aged 25 to 75 years with type 2 diabetes from the Vincent Type 2 Diabetes Resgistry (VDR), who consecutively enrolled (n=1,260) from January 2000 to December 2010 and were followed up until May 2015 with a median follow-up time of 10.4 years. Primary outcomes were death from any cause or CV death. We investigated the association between the CV or all-cause mortality and various covariates using Cox proportional hazards regression analysis.

Results

Among the 906 participants (71.9%) who completed follow-up, 85 patients (9.4%) had at least one episode of SH, and 86 patients (9.5%) died (9.1 per 1,000 patient-years). Patients who had died were older, had a longer duration of diabetes and hypertension, received more insulin, and had more diabetic microvascular complications at baseline, as compared with surviving patients. The experience of SH was significantly associated with an increased risk of all-cause mortality (hazard ratio [HR], 2.64; 95% confidence interval [CI], 1.39 to 5.02; P=0.003) and CV mortality (HR, 6.34; 95% CI, 2.02 to 19.87; P=0.002) after adjusting for sex, age, diabetic duration, hypertension, mean glycosylated hemoglobin levels, diabetic nephropathy, lipid profiles, and insulin use.

Conclusion

We found a strong association between SH and increased risk of all-cause and CV mortality in patients with type 2 diabetes.

Citations

Citations to this article as recorded by

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Current Diabetes Reviews.2024;[Epub] CrossRef
The prognostic value of the stress hyperglycemia ratio for all-cause and cardiovascular mortality in patients with diabetes or prediabetes: insights from NHANES 2005–2018
Lei Ding, Hongda Zhang, Cong Dai, Aikai Zhang, Fengyuan Yu, Lijie Mi, Yingjie Qi, Min Tang
Cardiovascular Diabetology.2024;[Epub] CrossRef
Navigating the future of diabetes: innovative nomogram models for predicting all-cause mortality risk in diabetic nephropathy
Sensen Wu, Hui Wang, Dikang Pan, Julong Guo, Fan Zhang, Yachan Ning, Yongquan Gu, Lianrui Guo
BMC Nephrology.2024;[Epub] CrossRef
Association of hypoglycaemia with the risks of arrhythmia and mortality in individuals with diabetes - a systematic review and meta-analysis
Gangfeng Li, Shuping Zhong, Xingmu Wang, Fuyuan Zhuge
Frontiers in Endocrinology.2023;[Epub] CrossRef
Diabetes mellitus und Straßenverkehr – ein Positionspapier der Österreichischen Diabetesgesellschaft (Update 2023)
Heidemarie Abrahamian, Birgit Salamon, Angelika Lahnsteiner, Christian Schelkshorn, Alexander Bräuer, Lars Stechemesser, Gerd Köhler, Martin Clodi
Wiener klinische Wochenschrift.2023; 135(S1): 319. CrossRef
Validation of the hypoglycemia awareness questionnaire to assess hypoglycemia awareness in patients with type 2 diabetes treated with insulin
Diana Cristina Henao-Carrillo, Fabio Alexander Sierra-Matamoros, Ana Julia Carrillo Algarra, Julieth Patricia García-Lugo, Sandra Milena Hernández-Zambrano
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(12): 102917. CrossRef
Basal insulin analogues in people with diabetes and chronic kidney disease
David León‐Jiménez, José Pablo Miramontes‐González, Laura Márquez‐López, Francisco Astudillo‐Martín, Luis M. Beltrán‐Romero, Fernando Moreno‐Obregón, Javier Escalada‐San Martín
Diabetic Medicine.2022;[Epub] CrossRef
Severe Hypoglycemia Increases Dementia Risk and Related Mortality: A Nationwide, Population-based Cohort Study
Eugene Han, Kyung-do Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Seung-Hyun Ko, Yong-ho Lee
The Journal of Clinical Endocrinology & Metabolism.2022; 107(5): e1976. CrossRef
Validación transcultural del HypoA-Q para medir conciencia de hipoglucemia en pacientes diabéticos
Ana Julia Carrillo-Algarra, Sandra Milena Hernandez-Zambrano, Fabio Alexander Sierra-Matamoros, Diana Cristina Henao-Carrillo, Ana María Gómez-Medina, Daniel Esteban Hurtado-Barrera
Revista Ciencia y Cuidado.2022; 19(1): 42. CrossRef
Validity of the diagnosis of diabetic microvascular complications in Korean national health insurance claim data
Hyung Jun Kim, Moo-Seok Park, Jee-Eun Kim, Tae-Jin Song
Annals of Clinical Neurophysiology.2022; 24(1): 7. CrossRef
Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
Seung-Hyun Ko
Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106. CrossRef
Evaluation of a Clinical Platform to Promote Chronic Disease Management
Laura Greene, Nila Sathe, John A. House, Laura L. Schott, Stella Safo
Population Health Management.2021; 24(4): 470. CrossRef
Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
Soo-Yeon Choi, Seung-Hyun Ko
The Korean Journal of Internal Medicine.2021; 36(2): 263. CrossRef
Meta-Analysis: Association Between Hypoglycemia and Serious Adverse Events in Older Patients Treated With Glucose-Lowering Agents
Katharina Mattishent, Yoon K. Loke
Frontiers in Endocrinology.2021;[Epub] CrossRef
Epidemiology and outcomes from severe hypoglycemia in Kuwait: a prospective cohort study
Dalal Al Hasan, Ameen Yaseen, Mohammad Al Roudan, Lee Wallis
BMC Emergency Medicine.2021;[Epub] CrossRef
The incidence of hypoglycemia and its risk factors among diabetic patients in the Eastern Province of Saudi Arabia
Ahmed Elshebiny, Hassan Alali, Zainab Alamer, Yasmin Alsultan, Hashim Alkhalaf, Abdullah Alkishi, Mohammed Alsuwaylih
International Journal of Medicine in Developing Countries.2021; : 614. CrossRef
Current trends in epidemiology of cardiovascular disease and cardiovascular risk management in type 2 diabetes
Jae-Seung Yun, Seung-Hyun Ko
Metabolism.2021; 123: 154838. CrossRef
Real-world Evaluation of glycemic control and hypoglycemic Events among type 2 Diabetes mellitus study (REEDS): a multicentre, cross-sectional study in Thailand
Bancha Satirapoj, Thongchai Pratipanawatr, Boonsong Ongphiphadhanakul, Sompongse Suwanwalaikorn, Yupin Benjasuratwong, Wannee Nitiyanant
BMJ Open.2020; 10(2): e031612. CrossRef
Predictors of Diabetes Self-Care Practice Among Patients with Type 2 Diabetes in Public Hospitals in Northeastern Ethiopia: A Facility-Based Cross-Sectional Study

Tesfaye Molla Gulentie, Ebrahim Mohammed Yesuf, Taklo Simeneh Yazie, Belayneh Kefale
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 3137. CrossRef
Hypoglycemia in Older Patients
Byron J. Hoogwerf
Clinics in Geriatric Medicine.2020; 36(3): 395. CrossRef
Severe hypoglycaemia and absolute risk of cause-specific mortality in individuals with type 2 diabetes: a UK primary care observational study
Francesco Zaccardi, Suping Ling, Claire Lawson, Melanie J. Davies, Kamlesh Khunti
Diabetologia.2020; 63(10): 2129. CrossRef
Insulin Glargine U100 Improved Glycemic Control and Reduced Nocturnal Hypoglycemia in Patients with Type 2 Diabetes Mellitus and Chronic Kidney Disease Stages 3 and 4
Carolina C. Betônico, Silvia Maria O. Titan, Aécio Lira, Tatiana S. Pelaes, Maria Lúcia C. Correa-Giannella, Márcia Nery, Márcia Queiroz
Clinical Therapeutics.2019; 41(10): 2008. CrossRef
Efficacy and Safety of Degludec Compared to Glargine 300 Units/mL in Insulin-Experienced Patients With Type 2 Diabetes: Trial Protocol Amendment (NCT03078478)
Athena Philis-Tsimikas, Irene Stratton, Lone Nørgård Troelsen, Britta Anker Bak, Lawrence A. Leiter
Journal of Diabetes Science and Technology.2019; 13(3): 498. CrossRef
Efficacy and safety of insulin glargine/lixisenatide (iGlarLixi) fixed-ratio combination in older adults with type 2 diabetes
Yehuda Handelsman, Christina Chovanes, Terry Dex, Francesco Giorgino, Neil Skolnik, Elisabeth Souhami, William Stager, Elisabeth Niemoeller, Juan Pablo Frias
Journal of Diabetes and its Complications.2019; 33(3): 236. CrossRef
Urinary glucose excretion after dapagliflozin treatment: An exposure‐response modelling comparison between Japanese and non‐Japanese patients diagnosed with type 1 diabetes mellitus
Victor Sokolov, Tatiana Yakovleva, Shinya Ueda, Joanna Parkinson, David W. Boulton, Robert C. Penland, Weifeng Tang
Diabetes, Obesity and Metabolism.2019; 21(4): 829. CrossRef
Effects on clinical outcomes of intensifying triple oral antidiabetic drug (OAD) therapy by initiating insulin versus enhancing OAD therapy in patients with type 2 diabetes: A nationwide population‐based, propensity‐score‐matched cohort study
Shihchen Kuo, Chun‐Ting Yang, Jin‐Shang Wu, Huang‐Tz Ou
Diabetes, Obesity and Metabolism.2019; 21(2): 312. CrossRef
Cardiovascular safety and lower severe hypoglycaemia of insulin degludec versus insulin glargine U100 in patients with type 2 diabetes aged 65 years or older: Results from DEVOTE (DEVOTE 7)
Richard E. Pratley, Scott S. Emerson, Edward Franek, Matthew P. Gilbert, Steven P. Marso, Darren K. McGuire, Thomas R. Pieber, Bernard Zinman, Charlotte T. Hansen, Melissa V. Hansen, Thomas Mark, Alan C. Moses, John B. Buse
Diabetes, Obesity and Metabolism.2019; 21(7): 1625. CrossRef
Review of the cardiovascular safety of dipeptidyl peptidase-4 inhibitors and the clinical relevance of the CAROLINA trial
Marile Santamarina, Curt J. Carlson
BMC Cardiovascular Disorders.2019;[Epub] CrossRef
Effects of a 12-week moderate-intensity exercise training on blood glucose response in patients with type 2 diabetes
Shang-Lin Chiang, Margaret McLean Heitkemper, Yi-Jen Hung, Wen-Chii Tzeng, Meei-Shyuan Lee, Chia-Huei Lin
Medicine.2019; 98(36): e16860. CrossRef
Impaired Awareness of Hypoglycaemia in Insulin-treated Type 2 Diabetes Mellitus
Mohammad J. Alkhatatbeh, Nedaa A. Abdalqader , Mohammad A.Y. Alqudah
Current Diabetes Reviews.2019; 15(5): 407. CrossRef
Hypoglycaemia, cardiovascular disease, and mortality in diabetes: epidemiology, pathogenesis, and management
Stephanie A Amiel, Pablo Aschner, Belinda Childs, Philip E Cryer, Bastiaan E de Galan, Brian M Frier, Linda Gonder-Frederick, Simon R Heller, Timothy Jones, Kamlesh Khunti, Lawrence A Leiter, Yingying Luo, Rory J McCrimmon, Ulrik Pedersen-Bjergaard, Eliza
The Lancet Diabetes & Endocrinology.2019; 7(5): 385. CrossRef
Sulfonylureas as initial treatment for type 2 diabetes and the risk of adverse cardiovascular events: A population‐based cohort study
Kristian B. Filion, Antonios Douros, Laurent Azoulay, Hui Yin, Oriana H. Yu, Samy Suissa
British Journal of Clinical Pharmacology.2019; 85(10): 2378. CrossRef
Selectivity of beta-blockers, cardiovascular and all-cause mortality in people with hypoglycaemia: An observational study
F. Zaccardi, L.L. Nystrup Husemoen, B.L. Thorsted, D.R. Webb, S.K. Paul, M.J. Davies, K. Khunti
Nutrition, Metabolism and Cardiovascular Diseases.2019; 29(5): 481. CrossRef
Cost-effectiveness of a primary care multidisciplinary Risk Assessment and Management Program for patients with diabetes mellitus (RAMP-DM) over lifetime
Fangfang Jiao, Eric Yuk Fai Wan, Colman Siu Cheung Fung, Anca Ka Chun Chan, Sarah Morag McGhee, Ruby Lai Ping Kwok, Cindy Lo Kuen Lam
Endocrine.2019; 63(2): 259. CrossRef
Efficacy and safety of sensor-augmented pump therapy (SAPT) with predictive low-glucose management in patients diagnosed with type 1 diabetes mellitus previously treated with SAPT and low glucose suspend
Ana María Gómez, Diana Cristina Henao, Angelica Imitola, Oscar Mauricio Muñoz, Martín Alonso Rondón Sepúlveda, Laura Kattah, Juan Sebastian Guerrero, Elly Morros, Juan Pablo Llano, Maira García Jaramillo, Fabián León-Vargas
Endocrinología, Diabetes y Nutrición.2018; 65(8): 451. CrossRef
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Sorin Ioacara, Elisabeta Sava, Olivia Georgescu, Anca Sirbu, Simona Fica
Acta Diabetologica.2018; 55(8): 821. CrossRef
Use of sodium-glucose co-transporter-2 inhibitors from clinical trial results to practical application in Russia
D. A. Lebedev, A. Yu. Babenko
Medical Council.2018; (16): 100. CrossRef
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Seung-Hyun Ko, Yong-Moon Park, Jae-Seung Yun, Seon-Ah Cha, Eue-Keun Choi, Kyungdo Han, Eugene Han, Yong-ho Lee, Yu-Bae Ahn
Journal of Diabetes and its Complications.2018; 32(2): 157. CrossRef
Antioxidant effects of epigallocatechin-3-gallate on the aTC1-6 pancreatic alpha cell line
Ting Cao, Xiong Zhang, Dan Yang, Yue-Qian Wang, Zheng-Dong Qiao, Jian-Ming Huang, Peng Zhang
Biochemical and Biophysical Research Communications.2018; 495(1): 693. CrossRef
Hemoglobin glycation index predicts cardiovascular disease in people with type 2 diabetes mellitus: A 10-year longitudinal cohort study
Mee Kyoung Kim, Jee Sun Jeong, Jae-Seung Yun, Hyuk-Sang Kwon, Ki Hyun Baek, Ki-Ho Song, Yu-Bae Ahn, Seung-Hyun Ko
Journal of Diabetes and its Complications.2018; 32(10): 906. CrossRef
Day-to-day fasting glycaemic variability in DEVOTE: associations with severe hypoglycaemia and cardiovascular outcomes (DEVOTE 2)
Bernard Zinman, Steven P. Marso, Neil R. Poulter, Scott S. Emerson, Thomas R. Pieber, Richard E. Pratley, Martin Lange, Kirstine Brown-Frandsen, Alan Moses, Ann Marie Ocampo Francisco, Jesper Barner Lekdorf, Kajsa Kvist, John B. Buse
Diabetologia.2018; 61(1): 48. CrossRef
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Ana María Gómez, Diana Cristina Henao, Angelica Imitola, Oscar Mauricio Muñoz, Martín Alonso Rondón Sepúlveda, Laura Kattah, Juan Sebastian Guerrero, Elly Morros, Juan Pablo Llano, Maira García Jaramillo, Fabián León-Vargas
Endocrinología, Diabetes y Nutrición (English ed.).2018; 65(8): 451. CrossRef
Time- and frequency-domain measures of heart rate variability predict cardiovascular outcome in patients with type 2 diabetes
Seon-Ah Cha, Yong-Moon Park, Jae-Seung Yun, Seung-Hwan Lee, Yu-Bae Ahn, Sung-Rae Kim, Seung-Hyun Ko
Diabetes Research and Clinical Practice.2018; 143: 159. CrossRef
Newly diagnosed type 2 diabetes in an ethnic minority population: clinical presentation and comparison to other populations
Michael Morkos, Bettina Tahsin, Louis Fogg, Leon Fogelfeld
BMJ Open Diabetes Research & Care.2018; 6(1): e000568. CrossRef
DEVOTE 3: temporal relationships between severe hypoglycaemia, cardiovascular outcomes and mortality
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Diabetologia.2018; 61(1): 58. CrossRef
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Yun Fang, Sai-cong Shao, Hai-ying Wang
Chinese Herbal Medicines.2018; 10(4): 424. CrossRef
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Diabetes & Metabolism Journal.2017; 41(5): 349. CrossRef
Monotherapy in patients with type 2 diabetes mellitus
Sang Youl Rhee, Hyun Jin Kim, Seung-Hyun Ko, Kyu Yeon Hur, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Kyung Mook Choi, Jin Hwa Kim
The Korean Journal of Internal Medicine.2017; 32(6): 959. CrossRef
Antihyperglycemic agent therapy for adult patients with type 2 diabetes mellitus 2017: a position statement of the Korean Diabetes Association
Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
The Korean Journal of Internal Medicine.2017; 32(6): 947. CrossRef
Cardiovascular effects of dipeptidyl peptidase-4 inhibitor in diabetic patients with and without established cardiovascular disease: a meta-analysis and systematic review
Shishi Xu, Xinyue Zhang, Lizhi Tang, Fang Zhang, Nanwei Tong
Postgraduate Medicine.2017; 129(2): 205. CrossRef
Antihyperglycemic Agent Therapy for Adult Patients with Type 2 Diabetes Mellitus 2017: A Position Statement of the Korean Diabetes Association
Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
Diabetes & Metabolism Journal.2017; 41(5): 337. CrossRef
Effects of propofol on myocardial ischemia-reperfusion injury in rats with type-2 diabetes mellitus
Ying Wang, Xiuru Qi, Chunliang Wang, Danning Zhao, Hongjie Wang, Jianxin Zhang
Biomedical Reports.2017; 6(1): 69. CrossRef
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Marcello Casaccia Bertoluci, Viviane Zorzanelli Rocha
Diabetology & Metabolic Syndrome.2017;[Epub] CrossRef
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Shidnoevropejskij zurnal vnutrisnoi ta simejnoi medicini.2017; 2017(1): 4. CrossRef
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Diabetes & Metabolism Journal.2016; 40(6): 423. CrossRef
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Diabetes & Metabolism Journal.2016; 40(3): 190. CrossRef
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Complications
Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes: Jae-Seung Yun, Seung-Hyun Ko, Sun-Hye Ko, Ki-Ho Song, Ki-Dong Yoo, Kun-Ho Yoon, Yong-Moon Park, Yu-Bae Ahn; Diabetes Metab J. 2015;39(6):498-506. Published online July 8, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.6.498

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Abstract PDF PubReader

Background

To investigate whether a history of prior cardiovascular disease (CVD) is associated with severe hypoglycemia (SH) in patients with type 2 diabetes.

Methods

We conducted a prospective cohort study from January 2001 to December 2012 with a median follow-up time of 9.5 years (5,814 person-years). Patients aged 25 to 75 years with type 2 diabetes and without chronic kidney disease were enrolled (n=894), and 624 patients completed follow-up. SH was defined as hypoglycemic episodes requiring hospitalization or medical care in an emergency department. We used the Cox proportional hazards regression analysis to test associations between SH episodes and potential explanatory variables.

Results

Among the 624 participants who completed follow-up, 60 patients (9.6%) had previous CVD. Compared to patients without CVD, patients with previous CVD were older, had a longer duration of diabetes and hypertension, received more insulin, and had more diabetic microvascular complications at baseline. During follow-up, 62 patients (9.9%) experienced at least one SH episode (incidence of 1.33 per 100 patient-years). The development of SH was associated with a history of CVD (hazard ratio, 1.99; 95% confidence interval, 1.07 to 3.72; P=0.031) after adjusting for sex, age, diabetic duration, hypertension, hemoglobin A1c levels, diabetic complications, cardiovascular autonomic neuropathy, and insulin use.

Conclusion

A history of CVD was an independent risk factor for the development of SH in patients with type 2 diabetes mellitus. For patients with CVD, modulation of glycemic targets and diabetic education for the prevention of hypoglycemia should be implemented.

Citations

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Influence of Visceral Adiposity on Cardiovascular Autonomic Neuropathy in Patients with Type 2 Diabetes Mellitus: Eun-Hee Jang, Na-Young Kim, Yong-Moon Park, Mee-Kyoung Kim, Ki Hyun Baek, Ki-Ho Song, Kwang Woo Lee, Hyuk-Sang Kwon; Diabetes Metab J. 2012;36(4):285-292. Published online August 20, 2012; DOI: https://doi.org/10.4093/dmj.2012.36.4.285

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Background

The aim of this study was to investigate the influences of visceral adiposity on cardiovascular autonomic neuropathy (CAN) in patients with type 2 diabetes mellitus.

Methods

Two hundred eleven patients with type 2 diabetes participated in this study. Anthropometric and metabolic parameters were measured, and the visceral fat area was assessed using computed tomography. CAN was diagnosed using a cardiovascular reflex test. We analyzed the correlation between the visceral fat area and each parameter in this test.

Results

The mean age, body mass index (BMI), and duration of diabetes of the study population were 60±14 years (mean±standard deviation), 25.1±4.2 kg/m², and 12.3±8.9 years, respectively. The visceral fat area showed positive correlations with age, BMI, waist circumference, and subcutaneous fat area. There was no statistically significant difference in the cardiovascular reflex test outcome between genders. Univariate linear regression analysis showed that an increased visceral fat area diminished good heart rate response to a Valsalva maneuver (R²=4.9%, P=0.013 in an unadjusted model), but only in women. This statistical association was preserved after adjusting for age and BMI (R²=9.8%, P=0.0072).

Conclusion

The results of this study suggest that visceral adiposity contributes to an autonomic imbalance to some degree, as demonstrated by the impaired cardiovascular reflex test among women with type 2 diabetes.

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Influence of the Duration of Diabetes on the Outcome of a Diabetes Self-Management Education Program: Seung-Hyun Ko, Sin-Ae Park, Jae-Hyoung Cho, Sun-Hye Ko, Kyung-Mi Shin, Seung-Hwan Lee, Ki-Ho Song, Yong-Moon Park, Yu-Bae Ahn; Diabetes Metab J. 2012;36(3):222-229. Published online June 14, 2012; DOI: https://doi.org/10.4093/dmj.2012.36.3.222

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Background

Diabetes education and lifestyle modification are critical components in controlling blood glucose levels of people with type 2 diabetes. Until now, available data on the effectiveness of education with respect to the duration of diabetes are limited. We investigated whether adherence to lifestyle behavior modification prompted by diabetes education was influenced by the duration of diabetes.

Methods

Two hundred and twenty-five people with type 2 diabetes were recruited for an intensive, collaborative, group-based diabetes education program with annual reinforcement. We divided the patients into two groups based on the duration of their diabetes prior to the education program (≤1 year [≤1Y] vs. ≥3 years [≥3Y]). Dietary habits, physical activity, and the frequency of blood glucose self-monitoring were evaluated with a questionnaire prior to education and at the follow-up endpoint.

Results

The mean follow-up period was 32.2 months. The mean hemoglobin A1c (A1C) value was significantly lower in the ≤1Y group. Self-care behaviors, measured by scores for dietary habits (P=0.004) and physical activity (P<0.001), were higher at the endpoint in the ≤1Y group than in the ≥3Y group. Logistic regression analysis revealed that a longer diabetes duration before education was significantly associated with mean A1C levels greater than or equal to 7.0% (53 mmol/mol).

Conclusion

Diabetes duration influenced the effectiveness of diabetes education on lifestyle behavior modification and glycemic control. More-intense, regular, and sustained reinforcement with encouragement may be required for individuals with longstanding type 2 diabetes.

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Protective Effect of Heme Oxygenase-1 on High Glucose-Induced Pancreatic β-Cell Injury: Eun-Mi Lee, Young-Eun Lee, Esder Lee, Gyeong Ryul Ryu, Seung-Hyun Ko, Sung-Dae Moon, Ki-Ho Song, Yu-Bae Ahn; Diabetes Metab J. 2011;35(5):469-479. Published online October 31, 2011; DOI: https://doi.org/10.4093/dmj.2011.35.5.469

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Background

Glucose toxicity that is caused by chronic exposure to a high glucose concentration leads to islet dysfunction and induces apoptosis in pancreatic β-cells. Heme oxygenase-1 (HO-1) has been identified as an anti-apoptotic and cytoprotective gene. The purpose of this study is to investigate whether HO-1 up-regulation when using metalloprotophyrin (cobalt protoporphyrin, CoPP) could protect pancreatic β-cells from high glucose-induced apoptosis.

Methods

Reverse transcription-polymerase chain reaction was performed to analyze the CoPP-induced mRNA expression of HO-1. Cell viability of INS-1 cells cultured in the presence of CoPP was examined by acridine orange/propidium iodide staining. The generation of intracellular reactive oxygen species (ROS) was measured using flow cytometry. Glucose stimulated insulin secretion (GSIS) was determined following incubation with CoPP in different glucose concentrations.

Results

CoPP increased HO-1 mRNA expression in both a dose- and time-dependent manner. Overexpression of HO-1 inhibited caspase-3, and the number of dead cells in the presence of CoPP was significantly decreased when exposed to high glucose conditions (HG). CoPP also decreased the generation of intracellular ROS by 50% during 72 hours of culture with HG. However, decreased GSIS was not recovered even in the presence of CoPP.

Conclusion

Our data suggest that CoPP-induced HO-1 up-regulation results in protection from high glucose-induced apoptosis in INS-1 cells; however, glucose stimulated insulin secretion is not restored.

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Decreased Expression and Induced Nucleocytoplasmic Translocation of Pancreatic and Duodenal Homeobox 1 in INS-1 Cells Exposed to High Glucose and Palmitate: Gyeong Ryul Ryu, Jun Mo Yoo, Esder Lee, Seung-Hyun Ko, Yu-Bae Ahn, Ki-Ho Song; Diabetes Metab J. 2011;35(1):65-71. Published online February 28, 2011; DOI: https://doi.org/10.4093/dmj.2011.35.1.65

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Background

Type 2 diabetes mellitus (T2DM) is often accompanied by increased levels of circulating fatty acid. Elevations in fatty acids and glucose for prolonged periods of time have been suggested to cause progressive dysfunction or apoptosis of pancreatic beta cells in T2DM. However, the precise mechanism of this adverse effect is not well understood.

Methods

INS-1 rat-derived insulin-secreting cells were exposed to 30 mM glucose and 0.25 mM palmitate for 48 hours.

Results

The production of reactive oxygen species increased significantly. Pancreatic and duodenal homeobox 1 (Pdx1) expression was down-regulated, as assessed by reverse transcription-polymerase chain reaction and Western blot analyses. The promoter activities of insulin and Pdx1 were also diminished. Of note, there was nucleocytoplasmic translocation of Pdx1, which was partially prevented by treatment with an antioxidant, N-acetyl-L-cysteine.

Conclusion

Our data suggest that prolonged exposure of beta cells to elevated levels of glucose and palmitate negatively affects Pdx1 expression via oxidative stress.

Citations

Citations to this article as recorded by

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Scientific Reports.2019;[Epub] CrossRef
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Cell Metabolism.2014; 19(4): 653. CrossRef

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