Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
18 "Hye Seung Jung"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Drug/Regimen
Article image
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 Metab J. 2024;48(5):937-948.   Published online February 2, 2024
DOI: https://doi.org/10.4093/dmj.2023.0314
  • 4,249 View
  • 331 Download
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study assessed the efficacy and safety of triple therapy with pioglitazone 15 mg add-on versus placebo in patients with type 2 diabetes mellitus (T2DM) inadequately controlled with metformin and dapagliflozin.
Methods
In this multicenter, double-blind, randomized, phase 3 study, patients with T2DM with an inadequate response to treatment with metformin (≥1,000 mg/day) plus dapagliflozin (10 mg/day) were randomized to receive additional pioglitazone 15 mg/day (n=125) or placebo (n=125) for 24 weeks. The primary endpoint was the change in glycosylated hemoglobin (HbA1c) levels from baseline to week 24 (ClinicalTrials.gov identifier: NCT05101135).
Results
At week 24, the adjusted mean change from baseline in HbA1c level compared with placebo was significantly greater with pioglitazone treatment (–0.47%; 95% confidence interval, –0.61 to –0.33; P<0.0001). A greater proportion of patients achieved HbA1c <7% or <6.5% at week 24 with pioglitazone compared to placebo as add-on to 10 mg dapagliflozin and metformin (56.8% vs. 28% for HbA1c <7%, and 23.2% vs. 9.6% for HbA1c <6.5%; P<0.0001 for all). The addition of pioglitazone also significantly improved triglyceride, highdensity lipoprotein cholesterol levels, and homeostatic model assessment of insulin resistance levels, while placebo did not. The incidence of treatment-emergent adverse events was similar between the groups, and the incidence of fluid retention-related side effects by pioglitazone was low (1.5%).
Conclusion
Triple therapy with the addition of 15 mg/day of pioglitazone to dapagliflozin plus metformin was well tolerated and produced significant improvements in HbA1c in patients with T2DM inadequately controlled with dapagliflozin plus metformin.

Citations

Citations to this article as recorded by  
  • Ideal Combination of Oral Hypoglycemic Agents for Patients with Type 2 Diabetes Mellitus
    Hye Soon Kim
    Diabetes & Metabolism Journal.2024; 48(5): 882.     CrossRef
Basic Research
Article image
Glucolipotoxicity Suppressed Autophagy and Insulin Contents in Human Islets, and Attenuation of PERK Activity Enhanced Them in an ATG7-Dependent Manner
Seoil Moon, Ji Yoon Lim, Mirang Lee, Youngmin Han, Hongbeom Kim, Wooil Kwon, Jin-Young Jang, Mi Na Kim, Kyong Soo Park, Hye Seung Jung
Diabetes Metab J. 2024;48(2):231-241.   Published online September 6, 2023
DOI: https://doi.org/10.4093/dmj.2022.0366
  • 2,851 View
  • 251 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Administration of pancreatic endoplasmic reticulum kinase inhibitor (PERKi) improved insulin secretion and hyperglycemia in obese diabetic mice. In this study, autophagic balance was studied whether to mediate it.
Methods
Human islets were isolated from living patients without diabetes. PERKi GSK2606414 effects were evaluated in the islets under glucolipotoxicity by palmitate. Islet insulin contents and secretion were measured. Autophagic flux was assessed by microtubule associated protein 1 light chain 3 (LC3) conversion, a red fluorescent protein (RFP)-green fluorescent protein (GFP)- LC3 tandem assay, and P62 levels. For mechanical analyses, autophagy was suppressed using 3-methyladenine in mouse islets. Small interfering RNA for an autophagy-related gene autophagy related 7 (Atg7) was transfected to interfere autophagy.
Results
PERKi administration to mice decreased diabetes-induced P62 levels in the islets. Glucolipotoxicity significantly increased PERK phosphorylation by 70% and decreased insulin contents by 50% in human islets, and addition of PERKi (40 to 80 nM) recovered both. PERKi also enhanced glucose-stimulated insulin secretion (6-fold). PERKi up-regulated LC3 conversion suppressed by glucolipotoxicity, and down-regulated P62 contents without changes in P62 transcription, indicating enhanced autophagic flux. Increased autophagosome-lysosome fusion by PERKi was visualized in mouse islets, where PERKi enhanced ATG7 bound to LC3. Suppression of Atg7 eliminated PERKi-induced insulin contents and secretion.
Conclusion
This study provided functional changes of human islets with regard to autophagy under glucolipotoxicity, and suggested modulation of autophagy as an anti-diabetic mechanism of PERKi.
Review
Pathophysiology
Article image
Endoplasmic Reticulum Stress and Dysregulated Autophagy in Human Pancreatic Beta Cells
Seoil Moon, Hye Seung Jung
Diabetes Metab J. 2022;46(4):533-542.   Published online July 27, 2022
DOI: https://doi.org/10.4093/dmj.2022.0070
  • 5,545 View
  • 266 Download
  • 16 Web of Science
  • 16 Crossref
AbstractAbstract PDFPubReader   ePub   
Pancreatic beta cell homeostasis is crucial for the synthesis and secretion of insulin; disruption of homeostasis causes diabetes, and is a treatment target. Adaptation to endoplasmic reticulum (ER) stress through the unfolded protein response (UPR) and adequate regulation of autophagy, which are closely linked, play essential roles in this homeostasis. In diabetes, the UPR and autophagy are dysregulated, which leads to beta cell failure and death. Various studies have explored methods to preserve pancreatic beta cell function and mass by relieving ER stress and regulating autophagic activity. To promote clinical translation of these research results to potential therapeutics for diabetes, we summarize the current knowledge on ER stress and autophagy in human insulin-secreting cells.

Citations

Citations to this article as recorded by  
  • Glucolipotoxicity Suppressed Autophagy and Insulin Contents in Human Islets, and Attenuation of PERK Activity Enhanced Them in an ATG7-Dependent Manner
    Seoil Moon, Ji Yoon Lim, Mirang Lee, Youngmin Han, Hongbeom Kim, Wooil Kwon, Jin-Young Jang, Mi Na Kim, Kyong Soo Park, Hye Seung Jung
    Diabetes & Metabolism Journal.2024; 48(2): 231.     CrossRef
  • Endoplasmic reticulum stress: A possible connection between intestinal inflammation and neurodegenerative disorders
    Giorgio Vivacqua, Romina Mancinelli, Stefano Leone, Rosa Vaccaro, Ludovica Garro, Simone Carotti, Ludovica Ceci, Paolo Onori, Luigi Pannarale, Antonio Franchitto, Eugenio Gaudio, Arianna Casini
    Neurogastroenterology & Motility.2024;[Epub]     CrossRef
  • Docosahexanoic Acid Attenuates Palmitate-Induced Apoptosis by Autophagy Upregulation via GPR120/mTOR Axis in Insulin-Secreting Cells
    Seok-Woo Hong, Jinmi Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
    Endocrinology and Metabolism.2024; 39(2): 353.     CrossRef
  • HIV-1 Tat-Mediated Human Müller Glial Cell Senescence Involves Endoplasmic Reticulum Stress and Dysregulated Autophagy
    Uma Maheswari Deshetty, Nivedita Chatterjee, Shilpa Buch, Palsamy Periyasamy
    Viruses.2024; 16(6): 903.     CrossRef
  • Gallic acid suppresses the progression of clear cell renal cell carcinoma through inducing autophagy via the PI3K/Akt/Atg16L1 signaling pathway
    Tianxiang Zhang, Xi Zhang, Yang Fei, Jinsen Lu, Dairan Zhou, Li Zhang, Song Fan, Jun Zhou, Chaozhao Liang, Yang Su
    International Journal of Oncology.2024;[Epub]     CrossRef
  • Dysregulation of pancreatic β-cell autophagy and the risk of type 2 diabetes
    Hayder M. Al-kuraishy, Majid S. Jabir, Ali I. Al-Gareeb, Daniel J. Klionsky, Ali K. Albuhadily
    Autophagy.2024; : 1.     CrossRef
  • Endoplasmic reticulum stress mechanisms and exercise intervention in type 2 diabetes mellitus
    Qianyu Chen, Xiaoqin Zhao, Zujie Xu, Yiyao Liu
    Biomedicine & Pharmacotherapy.2024; 177: 117122.     CrossRef
  • Tangningtongluo Tablet ameliorates pancreatic damage in diabetic mice by inducing autophagy and inhibiting the PI3K/Akt/mTOR signaling pathway
    Ying Ren, Xiangka Hu, Mushuang Qi, Wanjun Zhu, Jin Li, Shuyu Yang, Chunmei Dai
    International Immunopharmacology.2024; 142: 113032.     CrossRef
  • Ambient air fine particulate matter (PM10 and PM2.5) and risk of type 2 diabetes mellitus and mechanisms of effects: a global systematic review and meta-analysis
    Salah Azizi, Mohammad Hadi Dehghani, Ramin Nabizadeh
    International Journal of Environmental Health Research.2024; : 1.     CrossRef
  • Pancreatic islet remodeling in cotadutide-treated obese mice
    Renata Spezani, Thatiany Souza Marinho, Luiz E. Macedo Cardoso, Marcia Barbosa Aguila, Carlos Alberto Mandarim-de-Lacerda
    Life Sciences.2023; 327: 121858.     CrossRef
  • Modulation of Unfolded Protein Response Restores Survival and Function of β-Cells Exposed to the Endocrine Disruptor Bisphenol A
    Laura Maria Daian, Gabriela Tanko, Andrei Mircea Vacaru, Luiza Ghila, Simona Chera, Ana-Maria Vacaru
    International Journal of Molecular Sciences.2023; 24(3): 2023.     CrossRef
  • Interplay of skeletal muscle and adipose tissue: sarcopenic obesity
    Min Jeong Park, Kyung Mook Choi
    Metabolism.2023; 144: 155577.     CrossRef
  • Identification and analysis of type 2 diabetes-mellitus-associated autophagy-related genes
    Kun Cui, Zhizheng Li
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Sestrin2 in diabetes and diabetic complications
    Xiaodan Zhang, Zirui Luo, Jiahong Li, Yaxuan Lin, Yu Li, Wangen Li
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Crosstalk between autophagy and insulin resistance: evidence from different tissues
    Asie Sadeghi, Maryam Niknam, Mohammad Amin Momeni-Moghaddam, Maryam Shabani, Hamid Aria, Alireza Bastin, Maryam Teimouri, Reza Meshkani, Hamed Akbari
    European Journal of Medical Research.2023;[Epub]     CrossRef
  • Beta cell lipotoxicity in the development of type 2 diabetes: the need for species-specific understanding
    Patricia Thomas, Meurig T. Gallagher, Gabriela Da Silva Xavier
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
Original Articles
Drug/Regimen
Article image
Comparison of Prevailing Insulin Regimens at Different Time Periods in Hospitalized Patients: A Real-World Experience from a Tertiary Hospital
Sun Joon Moon, Hun Jee Choe, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2022;46(3):439-450.   Published online October 20, 2021
DOI: https://doi.org/10.4093/dmj.2021.0065
  • 65,535 View
  • 291 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Prevailing insulin regimens for glycemic control in hospitalized patients have changed over time. We aimed to determine whether the current basal-bolus insulin (BBI) regimen is superior to the previous insulin regimen, mainly comprising split-mixed insulin therapy.
Methods
This was a single tertiary center, retrospective observational study that included non-critically ill patients with type 2 diabetes mellitus who were treated with split-mixed insulin regimens from 2004 to 2007 (period 1) and with BBI from 2008 to 2018 (period 2). Patients from each period were analyzed after propensity score matching. The mean difference in glucose levels and the achievement of fasting and preprandial glycemic targets by day 6 of admission were assessed. The total daily insulin dose, incidence of hypoglycemia, and length of hospital stay were also evaluated.
Results
Among 244 patients from each period, both fasting glucose (estimated mean±standard error, 147.4±3.1 mg/dL vs. 129.4±3.2 mg/dL, P<0.001, day 6) and preprandial glucose (177.7±2.8 mg/dL vs. 152.8±2.8 mg/dL, P<0.001, day 6) were lower in period 2 than in period 1. By day 6 of hospital admission, 42.6% and 67.2% of patients achieved a preprandial glycemic target of <140 mg/dL in periods 1 and 2, respectively (relative risk, 2.00; 95% confidence interval, 1.54 to 2.59), without an increased incidence of hypoglycemia. Length of stay was shorter in period 2 (10.23±0.26 days vs. 8.70±0.26 days, P<0.001).
Conclusion
BBI improved glycemic control in a more efficacious manner than a split-mixed insulin regimen without increasing the risk of hypoglycemia in a hospital setting.
Drug/Regimen
Article image
Efficacy and Safety of Self-Titration Algorithms of Insulin Glargine 300 units/mL in Individuals with Uncontrolled Type 2 Diabetes Mellitus (The Korean TITRATION Study): A Randomized Controlled Trial
Jae Hyun Bae, Chang Ho Ahn, Ye Seul Yang, Sun Joon Moon, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2022;46(1):71-80.   Published online June 16, 2021
DOI: https://doi.org/10.4093/dmj.2020.0274
  • 10,213 View
  • 465 Download
  • 2 Web of Science
  • 4 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To compare the efficacy and safety of two insulin self-titration algorithms, Implementing New Strategies with Insulin Glargine for Hyperglycemia Treatment (INSIGHT) and EDITION, for insulin glargine 300 units/mL (Gla-300) in Korean individuals with uncontrolled type 2 diabetes mellitus (T2DM).
Methods
In a 12-week, randomized, open-label trial, individuals with uncontrolled T2DM requiring basal insulin were randomized to either the INSIGHT (adjusted by 1 unit/day) or EDITION (adjusted by 3 units/week) algorithm to achieve a fasting self-monitoring of blood glucose (SMBG) in the range of 4.4 to 5.6 mmol/L. The primary outcome was the proportion of individuals achieving a fasting SMBG ≤5.6 mmol/L without noct urnal hypoglycemia at week 12.
Results
Of 129 individuals (age, 64.1±9.5 years; 66 [51.2%] women), 65 and 64 were randomized to the INSIGHT and EDITION algorithms, respectively. The primary outcome of achievement was comparable between the two groups (24.6% vs. 23.4%, P=0.876). Compared with the EDITION group, the INSIGHT group had a greater reduction in 7-point SMBG but a similar decrease in fasting plasma glucose and glycosylated hemoglobin. The increment of total daily insulin dose was significantly higher in the INSIGHT group than in the EDITION group (between-group difference: 5.8±2.7 units/day, P=0.033). However, body weight was significantly increased only in the EDITION group (0.6±2.4 kg, P=0.038). There was no difference in the occurrence of hypoglycemia between the two groups. Patient satisfaction was significantly increased in the INSIGHT group (P=0.014).
Conclusion
The self-titration of Gla-300 using the INSIGHT algorithm was effective and safe compared with that using the EDITION algorithm in Korean individuals with uncontrolled T2DM (ClinicalTrials.gov number: NCT03406663).

Citations

Citations to this article as recorded by  
  • Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
    Camilla Heisel Nyholm Thomsen, Stine Hangaard, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen, Morten Hasselstrøm Jensen
    Journal of Diabetes Science and Technology.2024; 18(5): 1185.     CrossRef
  • Comparative efficacy and safety of weekly tirzepatide versus weekly insulin in type 2 diabetes: A network meta‐analysis of randomized clinical trials
    Hazem Ayesh, Sajida Suhail, Suhail Ayesh, Kevin Niswender
    Diabetes, Obesity and Metabolism.2024; 26(9): 3801.     CrossRef
  • Basal insulin titration algorithms in patients with type 2 diabetes: the simplest is the best (?)
    V.I. Katerenchuk
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2023; 19(1): 72.     CrossRef
  • Issues of insulin therapy for type 2 diabetes and ways to solve them
    V.I. Katerenchuk, A.V. Katerenchuk
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2023; 19(3): 240.     CrossRef
Letter
Letter: Early Assessment of the Risk for Gestational Diabetes Mellitus: Can Fasting Parameters of Glucose Metabolism Contribute to Risk Prediction? (Diabetes Metab J 2019;43:785–93)
Ye Seul Yang, Hye Seung Jung
Diabetes Metab J. 2020;44(1):199-200.   Published online February 21, 2020
DOI: https://doi.org/10.4093/dmj.2020.0023
  • 3,411 View
  • 53 Download
  • 1 Crossref
PDFPubReader   

Citations

Citations to this article as recorded by  
  • Comparison of the Effect of Face-to-face and Social Media-based Training on the Self-care of Women with Gestational Diabetes Mellitus (GDM) in Birjand
    Mohaddeseh Hosseinzadeh, Gholamreza Sharifzadeh, Mostafa Hosseinzadeh, Marzieh Torshizi
    Modern Care Journal.2022;[Epub]     CrossRef
Brief Report
Genetics
Identification of Two Cases of Ciliopathy-Associated Diabetes and Their Mutation Analysis Using Whole Exome Sequencing
Min Kyeong Kim, Soo Heon Kwak, Shinae Kang, Hye Seung Jung, Young Min Cho, Seong Yeon Kim, Kyong Soo Park
Diabetes Metab J. 2015;39(5):439-443.   Published online October 22, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.5.439
  • 5,176 View
  • 58 Download
  • 5 Web of Science
  • 6 Crossref
AbstractAbstract PDFPubReader   
Background

Alström syndrome and Bardet-Biedl syndrome are autosomal recessively inherited ciliopathies with common characteristics of obesity, diabetes, and blindness. Alström syndrome is caused by a mutation in the ALMS1 gene, and Bardet-Biedl syndrome is caused by mutations in BBS1-16 genes. Herein we report genetically confirmed cases of Alström syndrome and Bardet-Biedl syndrome in Korea using whole exome sequencing.

Methods

Exome capture was done using SureSelect Human All Exon Kit V4+UTRs (Agilent Technologies). HiSeq2000 system (Illumina) was used for massive parallel sequencing. Sanger sequencing was used for genotype confirmation and familial cosegregation analysis.

Results

A 21-year old Korean woman was clinically diagnosed with Alström syndrome. She had diabetes, blindness, obesity, severe insulin resistance, and hearing loss. Whole exome sequencing revealed a nonsense mutation in exon 10 of ALMS1 (c.8776C>T, p.R2926X) and a seven base-pair deletion resulting in frameshift mutation in exon 8 (c.6410_6416del, p.2137_2139del). A 24-year-old Korean man had Bardet-Biedl syndrome with diabetes, blindness, obesity, and a history of polydactyly. Whole exome sequencing revealed a nonsynonymous mutation in exon 11 of the BBS1 gene (c.1061A>G, p.E354G) and mutation at the normal splicing recognition site of exon 7 of the BBS1 gene (c.519-1G>T).

Conclusion

We found novel compound heterozygous mutations of Alström syndrome and Bardet-Biedl syndrome using whole exome sequencing. The whole exome sequencing successfully identified novel genetic variants of ciliopathy-associated diabetes.

Citations

Citations to this article as recorded by  
  • Genotype–phenotype associations in Alström syndrome: a systematic review and meta-analysis
    Brais Bea-Mascato, Diana Valverde
    Journal of Medical Genetics.2024; 61(1): 18.     CrossRef
  • Differentiating monogenic and syndromic obesities from polygenic obesity: Assessment, diagnosis, and management
    Angela K. Fitch, Sonali Malhotra, Rushika Conroy
    Obesity Pillars.2024; 11: 100110.     CrossRef
  • Whole exome sequencing identifies rare biallelic ALMS1 missense and stop gain mutations in familial Alström syndrome patients
    Naglaa M. Kamal, Ahmed N. Sahly, Babajan Banaganapalli, Omran M. Rashidi, Preetha J. Shetty, Jumana Y. Al-Aama, Noor A. Shaik, Ramu Elango, Omar I. Saadah
    Saudi Journal of Biological Sciences.2020; 27(1): 271.     CrossRef
  • Established and emerging strategies to crack the genetic code of obesity
    V. Tam, M. Turcotte, D. Meyre
    Obesity Reviews.2019; 20(2): 212.     CrossRef
  • Identifying Pathogenic Variants of Monogenic Diabetes Using Targeted Panel Sequencing in an East Asian Population
    Seung Shin Park, Se Song Jang, Chang Ho Ahn, Jung Hee Kim, Hye Seung Jung, Young Min Cho, Young Ah Lee, Choong Ho Shin, Jong Hee Chae, Jae Hyun Kim, Sung Hee Choi, Hak C Jang, Jee Cheol Bae, Jong Cheol Won, Sung-Hoon Kim, Jong-Il Kim, Soo Heon Kwak, Kyong
    The Journal of Clinical Endocrinology & Metabolism.2019; 104(9): 4188.     CrossRef
  • Whole exome sequencing as a diagnostic tool for patients with ciliopathy-like phenotypes
    Sheila Castro-Sánchez, María Álvarez-Satta, Mohamed A. Tohamy, Sergi Beltran, Sophia Derdak, Diana Valverde, Anand Swaroop
    PLOS ONE.2017; 12(8): e0183081.     CrossRef
Response
Response: Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance (Diabetes Metab J 2015;39:147-53)
Tae Jung Oh, Se Hee Min, Chang Ho Ahn, Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2015;39(3):270-271.   Published online June 15, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.3.270
  • 3,671 View
  • 36 Download
  • 1 Crossref
PDFPubReader   

Citations

Citations to this article as recorded by  
  • Prevalence of Impaired Glucose Tolerance/Prediabetes in Local Adult Obese Population Presenting to A Tertiary Care Hospital
    Niktash Khan Hadi, Muhammad Salman Aamir, Tahir Ghaffar, Sulaiman Khan, Siraj ul Islam, Shafiullah Khan, Nizamuddin ., Muhammad Ali
    Pakistan Journal of Health Sciences.2023; : 84.     CrossRef
Original Articles
Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance
Tae Jung Oh, Se Hee Min, Chang Ho Ahn, Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2015;39(2):147-153.   Published online March 9, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.2.147
  • 4,857 View
  • 50 Download
  • 17 Web of Science
  • 14 Crossref
AbstractAbstract PDFPubReader   
Background

Subjects with normal glucose tolerance (NGT) who have a high 1-hour postload plasma glucose level (≥155 mg/dL; NGT 1 hour-high) have been shown to be at higher risk for type 2 diabetes than subjects with NGT 1 hour-low postload plasma glucose level (<155 mg/dL). We compared β-cell function in subjects with NGT 1 hour-high, NGT 1 hour-low, and impaired glucose tolerance (IGT).

Methods

We classified subjects into NGT 1 hour-low (n=149), NGT 1 hour-high (n=43), and IGT (n=52). The β-cell function was assessed based on insulinogenic index (IGI), oral disposition index (DI), and insulin secretion-sensitivity index-2 (ISSI-2).

Results

Insulin sensitivity was comparable between the subjects with NGT 1 hour-high and NGT 1 hour-low. The β-cell function with/without adjusting insulin sensitivity was significantly different among the three groups. The IGI (pmol/mmol) was 116.8±107.3 vs. 64.8±47.8 vs. 65.8±80.6 (P=0.141), oral DI was 3.5±4.2 vs. 1.8±1.4 vs. 1.8±3.1 (P<0.001), and ISSI-2 was 301.2±113.7 vs. 213.2±67.3 vs. 172.5±87.5 (P<0.001) in NGT 1 hour-low, NGT 1 hour-high, and IGT, respectively. Post hoc analyses revealed that oral DI and ISSI-2 were significantly different between NGT 1 hour-low and NGT 1 hour-high but comparable between NGT 1 hour-high and IGT.

Conclusion

Among Korean subjects with NGT, those who have a higher 1-hour postload glucose level have a compromised insulin-sensitivity adjusted β-cell function to a similar degree as IGT subjects.

Citations

Citations to this article as recorded by  
  • Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
    Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
    Diabetes Research and Clinical Practice.2024; 210: 111640.     CrossRef
  • Pathophysiological characteristics of subjects with intermediate hyperglycemia and type 2 diabetes identified by 1-hour plasma glucose during an oral glucose tolerance test
    Chiara M.A. Cefalo, Alessia Riccio, Teresa Vanessa Fiorentino, Elena Succurro, Gaia Chiara Mannino, Maria Perticone, Angela Sciacqua, Francesco Andreozzi, Giorgio Sesti
    Diabetes Research and Clinical Practice.2024; : 111856.     CrossRef
  • Pancreatic fat accumulation is associated with decreased β‐cell function and deterioration in glucose tolerance in Korean adults
    Sang Ouk Chin, You‐Cheol Hwang, In‐Jin Cho, In‐Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung
    Diabetes/Metabolism Research and Reviews.2021;[Epub]     CrossRef
  • Indirect insulin resistance detection: Current clinical trends and laboratory limitations
    Sylwia Placzkowska, Lilla Pawlik-Sobecka, Izabela Kokot, Agnieszka Piwowar
    Biomedical Papers.2019; 163(3): 187.     CrossRef
  • Clinical Implications of Using Post-Challenge Plasma Glucose Levels for Early Diagnosis of Type 2 Diabetes Mellitus in Older Individuals
    Kyong Hye Joung, Sang Hyun Ju, Ji Min Kim, Sorim Choung, Jae Min Lee, Kang Seo Park, Hyun Jin Kim, Bon Jeong Ku
    Diabetes & Metabolism Journal.2018; 42(2): 147.     CrossRef
  • The 1-h post-load plasma glucose as a novel biomarker for diagnosing dysglycemia
    Ram Jagannathan, Martin Buysschaert, José Luis Medina, Karin Katz, Sarah Musleh, Brenda Dorcely, Michael Bergman
    Acta Diabetologica.2018; 55(6): 519.     CrossRef
  • Elevated 1‐hour post‐load plasma glucose identifies obese youth with abnormal glucose metabolism and an unfavourable inflammatory profile
    Anastasios Serbis, Vasileios Giapros, Anna Challa, Nikolaos Chaliasos, Ekaterini Siomou
    Clinical Endocrinology.2018; 89(6): 757.     CrossRef
  • One‐hour postload plasma glucose concentration in people with normal glucose homeostasis predicts future diabetes mellitus: a 12‐year community‐based cohort study
    Tae Jung Oh, Soo Lim, Kyoung Min Kim, Jae Hoon Moon, Sung Hee Choi, Young Min Cho, Kyong Soo Park, HakChul Jang, Nam H. Cho
    Clinical Endocrinology.2017; 86(4): 513.     CrossRef
  • An elevated 1-h post- load glucose level during the oral glucose tolerance test detects prediabetes
    Martin Buysschaert, Michael Bergman, Donald Yanogo, Ram Jagannathan, Benoit Buysschaert, Vanessa Preumont
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2017; 11(2): 137.     CrossRef
  • Delayed insulin secretion response during an OGTT is associated with an increased risk for incidence of diabetes in NGT subjects
    Yun Sun, Junfeng Han, Ziwei Lin, Lige Song, Chen Wang, Weiping Jia
    Journal of Diabetes and its Complications.2016; 30(8): 1537.     CrossRef
  • Postprandial Hyperglycemia
    Tae Jung Oh
    The Journal of Korean Diabetes.2016; 17(4): 233.     CrossRef
  • β-Cell Function and Insulin Sensitivity in Normal Glucose-Tolerant Subjects Stratified by 1-Hour Plasma Glucose Values
    Miranda M. Priya, Anandakumar Amutha, T.A. Pramodkumar, Harish Ranjani, Saravanan Jebarani, Kuppan Gokulakrishnan, Rajendra Pradeepa, Ranjit Unnikrishnan, Ranjit Mohan Anjana, Viswanathan Mohan
    Diabetes Technology & Therapeutics.2016; 18(1): 29.     CrossRef
  • Response: Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance (Diabetes Metab J2015;39:147-53)
    Tae Jung Oh, Se Hee Min, Chang Ho Ahn, Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
    Diabetes & Metabolism Journal.2015; 39(3): 270.     CrossRef
  • Letter: Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance (Diabetes Metab J2015;39:147-53)
    Hee Kyung Kim
    Diabetes & Metabolism Journal.2015; 39(3): 268.     CrossRef
Increasing Trend in the Number of Severe Hypoglycemia Patients in Korea
Jin Taek Kim, Tae Jung Oh, Ye An Lee, Jun Ho Bae, Hyo Jeong Kim, Hye Seung Jung, Young Min Cho, Kyong Soo Park, Soo Lim, Hak Chul Jang, Hong Kyu Lee
Diabetes Metab J. 2011;35(2):166-172.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.166
  • 65,535 View
  • 68 Download
  • 30 Crossref
AbstractAbstract PDFPubReader   
Background

To investigate whether the number of subjects with severe hypoglycemia who are brought to a hospital emergency department is increasing and to identify whether there have been changes in the demographic and clinical characteristics of those subjects.

Methods

We analyzed data from the Emergency Departments of two general hospitals in Seoul, Korea. We included data from all adult subjects with type 2 diabetes who presented to an emergency department with severe hypoglycemia between January 1, 2004 and December 30, 2009.

Results

A total of 740 cases of severe hypoglycemia were identified. The mean subject age was 69±12 years, mean duration of diabetes was 13.8±9.3 years, and 53.2% of subjects were receiving insulin therapy. We observed a sharp rise in the number of cases between 2006 and 2007. Stages 3-5 chronic kidney disease was diagnosed in 31.5% of subjects, and low C-peptide levels (<0.6 ng/mL) were found in 25.5%. The mean subject age, duration of diabetes, HbA1c level, and renal and insulin secretory function values did not change significantly during the study period. The proportion of glimepiride use increased, while use of gliclazide decreased among sulfonylurea users. Use of insulin analogues increased, while use of NPH/RI decreased among insulin users.

Conclusion

We identified a sharp increase in the number of subjects with severe hypoglycemia presenting to an emergency room since 2006. The clinical characteristics of these subjects did not change markedly during the study period. Nationwide studies are warranted to further clarify this epidemic of severe hypoglycemia.

Citations

Citations to this article as recorded by  
  • Hypoglycemia Unawareness—A Review on Pathophysiology and Clinical Implications
    Laura Hölzen, Bernd Schultes, Sebastian M. Meyhöfer, Svenja Meyhöfer
    Biomedicines.2024; 12(2): 391.     CrossRef
  • Hospital admissions trends for severe hypoglycemia in diabetes patients in Spain, 2005 to 2015
    Domingo Orozco-Beltrán, Alberto Guillen-Mollá, Ana María Cebrián-Cuenca, Jorge Navarro-Pérez, Vicente F. Gil-Guillén, Jose A. Quesada, Francisco J. Pomares-Gómez, Adriana Lopez-Pineda, Concepción Carratalá-Munuera
    Diabetes Research and Clinical Practice.2021; 171: 108565.     CrossRef
  • Trends and risk factors in severe hypoglycemia among individuals with type 2 diabetes in Korea
    Seung Eun Lee, Kyoung-Ah Kim, Kang Ju Son, Sun Ok Song, Kyeong Hye Park, Se Hee Park, Joo Young Nam
    Diabetes Research and Clinical Practice.2021; 178: 108946.     CrossRef
  • Predisposing factors of hypoglycemia in patients with type 2 diabetes mellitus presented with symptomatic hypoglycemia in a tertiary hospital of Bangladesh
    AjitK Paul, A.B.M. Kamrul-Hasan
    Journal of Diabetology.2020; 11(3): 163.     CrossRef
  • Real-world risk of hypoglycemia-related hospitalization in Japanese patients with type 2 diabetes using SGLT2 inhibitors: a nationwide cohort study
    Takeshi Horii, Yoichi Oikawa, Narumi Kunisada, Akira Shimada, Koichiro Atsuda
    BMJ Open Diabetes Research & Care.2020; 8(2): e001856.     CrossRef
  • Association between BMI and risk of severe hypoglycaemia in type 2 diabetes
    J.-S. Yun, Y.-M. Park, K. Han, S.-A. Cha, Y.-B. Ahn, S.-H. Ko
    Diabetes & Metabolism.2019; 45(1): 19.     CrossRef
  • The effects of hypoglycaemia and dementia on cardiovascular events, falls and fractures and all‐cause mortality in older individuals: A retrospective cohort study
    Katharina Mattishent, Kathryn Richardson, Ketan Dhatariya, George M. Savva, Chris Fox, Yoon K. Loke
    Diabetes, Obesity and Metabolism.2019; 21(9): 2076.     CrossRef
  • Detection of asymptomatic drug-induced hypoglycemia using continuous glucose monitoring in older people – Systematic review
    K. Mattishent, Y.K. Loke
    Journal of Diabetes and its Complications.2018; 32(8): 805.     CrossRef
  • Incidence rate and patient characteristics of severe hypoglycemia in treated type 2 diabetes mellitus patients in Japan: Retrospective Diagnosis Procedure Combination database analysis
    Yuika Ikeda, Takekazu Kubo, Eisei Oda, Machiko Abe, Shigeru Tokita
    Journal of Diabetes Investigation.2018; 9(4): 925.     CrossRef
  • A study to evaluate the prevalence of impaired awareness of hypoglycaemia in adults with type 2 diabetes in outpatient clinic in a tertiary care centre in Singapore
    Ling Zhu, Li Chang Ang, Wee Boon Tan, Xiaohui Xin, Yong Mong Bee, Su-Yen Goh, Ming Ming Teh
    Therapeutic Advances in Endocrinology and Metabolism.2017; 8(5): 69.     CrossRef
  • 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 & Metabolism Journal.2016; 40(6): 463.     CrossRef
  • Response: Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes (Diabetes Metab J 2015;39:498-506)
    Jae-Seung Yun, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2016; 40(1): 85.     CrossRef
  • 1,5-Anhydro-D-Glucitol Could Reflect Hypoglycemia Risk in Patients with Type 2 Diabetes Receiving Insulin Therapy
    Min Kyeong Kim, Hye Seung Jung, Soo Heon Kwak, Young Min Cho, Kyong Soo Park, Seong Yeon Kim
    Endocrinology and Metabolism.2016; 31(2): 284.     CrossRef
  • 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 & Metabolism Journal.2016; 40(3): 202.     CrossRef
  • Hypoglycemia and Health Costs
    Yong-ho Lee, Gyuri Kim, Eun Seok Kang
    The Journal of Korean Diabetes.2016; 17(1): 11.     CrossRef
  • Bi‐directional interaction between hypoglycaemia and cognitive impairment in elderly patients treated with glucose‐lowering agents: a systematic review and meta‐analysis
    K. Mattishent, Y. K. Loke
    Diabetes, Obesity and Metabolism.2016; 18(2): 135.     CrossRef
  • Trend of antihyperglycaemic therapy and glycaemic control in 184,864 adults with type 1 or 2 diabetes between 2002 and 2014: Analysis of real-life data from the DPV registry from Germany and Austria
    Barbara Bohn, Wolfgang Kerner, Jochen Seufert, Hans-Peter Kempe, Peter M. Jehle, Frank Best, Martin Füchtenbusch, Andreas Knauerhase, Martin Hofer, Joachim Rosenbauer, Reinhard W. Holl
    Diabetes Research and Clinical Practice.2016; 115: 31.     CrossRef
  • Characteristics of Hypoglycemia Pateints Visiting the Emergency Department of a University Hospital
    Sang-Hyeon Choi, Deok-Ki Youn, Moon-Gi Choi, Ohk-Hyun Ryu
    The Journal of Korean Diabetes.2016; 17(3): 202.     CrossRef
  • Increasing trend in emergency department visits for hypoglycemia from patients with type 2 diabetes mellitus in Taiwan
    Ying-Ju Chen, Chen-Chang Yang, Lynn-Chu Huang, Likwang Chen, Chii-Min Hwu
    Primary Care Diabetes.2015; 9(6): 490.     CrossRef
  • Intensive Individualized Reinforcement Education Is Important for the Prevention of Hypoglycemia in Patients with Type 2 Diabetes
    Yun-Mi Yong, Kyung-Mi Shin, Kang-Min Lee, Jae-Young Cho, Sun-Hye Ko, Min-Hyang Yoon, Tae-Won Kim, Jong-Hyun Jeong, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2015; 39(2): 154.     CrossRef
  • 1,5-Anhydroglucitol as a Useful Marker for Assessing Short-Term Glycemic Excursions in Type 1 Diabetes
    Hannah Seok, Ji Hye Huh, Hyun Min Kim, Byung-Wan Lee, Eun Seok Kang, Hyun Chul Lee, Bong Soo Cha
    Diabetes & Metabolism Journal.2015; 39(2): 164.     CrossRef
  • A nationwide population-based study on the risk of coma, ketoacidosis and hypoglycemia in patients with celiac disease and type 1 diabetes
    Matthew Kurien, Kaziwe Mollazadegan, David S. Sanders, Jonas F. Ludvigsson
    Acta Diabetologica.2015; 52(6): 1167.     CrossRef
  • Blood electrolyte disturbances during severe hypoglycemia in Korean patients with type 2 diabetes
    Mi Yeon Kang
    The Korean Journal of Internal Medicine.2015; 30(5): 648.     CrossRef
  • 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 & Metabolism Journal.2015; 39(6): 498.     CrossRef
  • The Influence of Admission Hypoglycemia on Clinical Outcomes in Acute Myocardial Infarction Patients with Diabetes Mellitus
    Eun Jung Kim, Myung Ho Jeong, In Seok Jeong, Sang Gi Oh, Sang Hyung Kim, Young keun Ahn, Ju Han Kim, Young Jo Kim, Shung Chull Chae, Taek Jong Hong, In Whan Seong, Jei Keon Chae, Chong Jin Kim, Myeong Chan Cho, Ki Bae Seung, Hyo Soo Kim
    Korean Journal of Medicine.2014; 87(5): 565.     CrossRef
  • Corrected QT Interval Prolongation during Severe Hypoglycemia without Hypokalemia in Patients with Type 2 Diabetes
    Jae Won Beom, Jung Min Kim, Eun Joo Chung, Ju Yeong Kim, Seung Yeong Ko, Sang Don Na, Cheol Hwan Kim, Gun Park, Mi Yeon Kang
    Diabetes & Metabolism Journal.2013; 37(3): 190.     CrossRef
  • Presence of Macroalbuminuria Predicts Severe Hypoglycemia in Patients With Type 2 Diabetes
    Jae-Seung Yun, Sun-Hye Ko, Sun-Hee Ko, Ki-Ho Song, Yu-Bae Ahn, Kun-Ho Yoon, Yong-Moon Park, Seung-Hyun Ko
    Diabetes Care.2013; 36(5): 1283.     CrossRef
  • Severe Hypoglycemia in Patients with Diabetes
    Jae Seung Yun, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2012; 36(4): 273.     CrossRef
  • Severe hypoglycaemia requiring the assistance of emergency medical services - frequency, causes and symptoms
    Veronika Krnacova, Ales Kubena, Karel Macek, Martin Bezdek, Alena Smahelova, Jiri Vlcek
    Biomedical Papers.2012; 156(3): 271.     CrossRef
  • Higher Morning to Evening Ratio in Total Dose of Twice-Daily Biphasic Insulin Analog Might Be Effective in Achieving Glucose Control in Patients with Poorly Controlled Type 2 Diabetes
    Yong-Ho Lee, Byung-Wan Lee, Hea Jin Kwon, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
    Diabetes Technology & Therapeutics.2012; 14(6): 508.     CrossRef
A Survey on Ubiquitous Healthcare Service Demand among Diabetic Patients
Soo Lim, So-Youn Kim, Jung Im Kim, Min Kyung Kwon, Sei Jin Min, Soo Young Yoo, Seon Mee Kang, Hong Il Kim, Hye Seung Jung, Kyong Soo Park, Jun Oh Ryu, Hayley Shin, Hak Chul Jang
Diabetes Metab J. 2011;35(1):50-57.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.50
  • 7,324 View
  • 31 Download
  • 23 Crossref
AbstractAbstract PDFPubReader   
Background

Advanced information technology can be used when developing diagnostic and treatment strategies to provide better care for diabetic patients. However, the levels of need and demand for the use of technological advances have not been investigated in diabetic patients. We proposed and developed an individualized, ubiquitous (U)-healthcare service using advanced information technology for more effective glucose control. Prior to our service initiation, we surveyed patient needs and other pertinent information.

Methods

During August 2009, we conducted a 34-item questionnaire survey among patients with diabetes who were older than 40 years in two certain hospitals in Korea.

Results

The mean age of the 228 participants was 61.2±9 years, and males made up 49.1% of the sample. Seventy-one percent replied that they wanted individualized healthcare service, and they also wanted their health information to be delivered through mobile devices such as a cellular phone or a personal digital assistant (40.4%). Most patients had never heard of U-healthcare services (81.1%); however, after explaining the concept, 71.1% of participants responded that they would use the service if it was provided. Despite their willingness, participants were concerned about technical difficulty in using the service (26.3%) as well as the cost of the service (29.8%).

Conclusion

The current study suggests that more than 70% of diabetic patients are interested in using U-healthcare services. To encourage widespread use, the application program or device of U-healthcare services should be simple, easy to use and affordable while also including a policy for the protection of private information.

Citations

Citations to this article as recorded by  
  • Willingness of diabetes mellitus patients to use mHealth applications and its associated factors for self-care management in a low-income country: an input for digital health implementation
    Agmasie Damtew Walle, Tigist Andargie Ferede, Adamu Ambachew Shibabaw, Sisay Maru Wubante, Habtamu Alganeh Guadie, Chalachew Msganaw Yehula, Addisalem Workie Demsash
    BMJ Health & Care Informatics.2023; 30(1): e100761.     CrossRef
  • Development and Operation of a Video Teleconsultation System Using Integrated Medical Equipment Gateway: a National Project for Workers in Underserved Areas
    Hyun Sang Park, Kwang il Kim, Jae Young Soh, Young Ho Hyun, Bang Eun Lee, Jong Hwa Lee, Jung Gwon Jo, Han Chae Lee, Hwa Sun Kim
    Journal of Medical Systems.2020;[Epub]     CrossRef
  • Patient experience with an educational mobile health application: A pilot study on usability and feasibility in a Saudi population
    Sireen Abdul Rahim Shilbayeh, Sahar Abd El Rahman Ismail, Meihua Qian
    Cogent Psychology.2020;[Epub]     CrossRef
  • Smart Care Based on Telemonitoring and Telemedicine for Type 2 Diabetes Care: Multi-Center Randomized Controlled Trial
    Ji Yun Jeong, Jae-Han Jeon, Kwi-Hyun Bae, Yeon-Kyung Choi, Keun-Gyu Park, Jung-Guk Kim, Kyu Chang Won, Bong Soo Cha, Chul Woo Ahn, Dong Won Kim, Chang Hee Lee, In-Kyu Lee
    Telemedicine and e-Health.2018; 24(8): 604.     CrossRef
  • Satisfaction Survey on Information Technology-Based Glucose Monitoring System Targeting Diabetes Mellitus in Private Local Clinics in Korea
    Hun-Sung Kim, So Jung Yang, Yoo Jin Jeong, Young-Eun Kim, Seok-Won Hong, Jae Hyoung Cho
    Diabetes & Metabolism Journal.2017; 41(3): 213.     CrossRef
  • Willingness of patients with diabetes to use an ICT-based self-management tool: a cross-sectional study
    Tomomi Shibuta, Kayo Waki, Nobuko Tomizawa, Ayumi Igarashi, Noriko Yamamoto-Mitani, Satoko Yamaguchi, Hideo Fujita, Shigeko Kimura, Katsuhito Fujiu, Hironori Waki, Yoshihiko Izumida, Takayoshi Sasako, Masatoshi Kobayashi, Ryo Suzuki, Toshimasa Yamauchi, T
    BMJ Open Diabetes Research & Care.2017; 5(1): e000322.     CrossRef
  • Evaluating the Effect of Web-Based Iranian Diabetic Personal Health Record App on Self-Care Status and Clinical Indicators: Randomized Controlled Trial
    Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Hamed Tabesh, Mahmood Tara
    JMIR Medical Informatics.2016; 4(4): e32.     CrossRef
  • Development, Validation, and Evaluation of Web-Based Iranian Diabetic Personal Health Record: Rationale for and Protocol of a Randomized Controlled Trial
    Amirabbas Azizi, Robab Aboutorabi, Zahra Mazloum-Khorasani, Monavar Afzal-Aghaea, Mahmood Tara
    JMIR Research Protocols.2016; 5(1): e39.     CrossRef
  • Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China
    Hun-Sung Kim, Chenglin Sun, So Jung Yang, Lin Sun, Fei Li, In Young Choi, Jae-Hyoung Cho, Guixia Wang, Kun-Ho Yoon
    Telemedicine and e-Health.2016; 22(8): 666.     CrossRef
  • Environment and Its Influence on Health and Demographics in South Korea
    Ramiro Bravo Santisteban, Young Kim, Umar Farooq, Tae-Seong Kim, Sekyoung Youm, Seung-Hun Park
    International Journal of Environmental Research and Public Health.2016; 13(2): 183.     CrossRef
  • U-Healthcare Center Service in Busan City, South Korea: An Empirical Analysis and the Results of 1 Year of Service
    Ramiro D. Bravo Santisteban, Sekyoung Youm, Seung-Hun Park
    Telemedicine and e-Health.2015; 21(10): 774.     CrossRef
  • Users’ perception on telemedicine service: a comparative study of public healthcare and private healthcare
    Mi Jung Rho, Kun Ho Yoon, Hun-Sung Kim, In Young Choi
    Multimedia Tools and Applications.2015; 74(7): 2483.     CrossRef
  • An Activity Recognition Model Using Inertial Sensor Nodes in a Wireless Sensor Network for Frozen Shoulder Rehabilitation Exercises
    Hsueh-Chun Lin, Shu-Yin Chiang, Kai Lee, Yao-Chiang Kan
    Sensors.2015; 15(1): 2181.     CrossRef
  • Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles
    Hun-Sung Kim, Hyunah Kim, Suehyun Lee, Kye Hwa Lee, Ju Han Kim
    Healthcare Informatics Research.2015; 21(4): 244.     CrossRef
  • New Directions in Chronic Disease Management
    Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon
    Endocrinology and Metabolism.2015; 30(2): 159.     CrossRef
  • Using mobile phones in healthcare management for the elderly
    Hun-Sung Kim, Kye-Hwa Lee, Hyunah Kim, Ju Han Kim
    Maturitas.2014; 79(4): 381.     CrossRef
  • Future Prospects of Health Management Systems Using Cellular Phones
    Hun-Sung Kim, Yunji Hwang, Jae-Ho Lee, Hye Young Oh, Yi-Jun Kim, Hyeon Yoon Kwon, Hyoseung Kang, Hyunah Kim, Rae Woong Park, Ju Han Kim
    Telemedicine and e-Health.2014; 20(6): 544.     CrossRef
  • Exploring the Relationship Among User Satisfaction, Compliance, and Clinical Outcomes of Telemedicine Services for Glucose Control
    Mi Jung Rho, Si Ra Kim, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Seong K. Mun, In Young Choi
    Telemedicine and e-Health.2014; 20(8): 712.     CrossRef
  • Impact of Information Technology on the Therapy of Type-1 Diabetes: A Case Study of Children and Adolescents in Germany
    Rolf-Dietrich Berndt, Claude Takenga, Petra Preik, Sebastian Kuehn, Luise Berndt, Herbert Mayer, Alexander Kaps, Ralf Schiel
    Journal of Personalized Medicine.2014; 4(2): 200.     CrossRef
  • Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users
    Jaebeom Lee, Mi Jung Rho
    Healthcare Informatics Research.2013; 19(3): 167.     CrossRef
  • Telerehabilitation Needs: A Bidirectional Survey of Health Professionals and Individuals with Spinal Cord Injury in South Korea
    Jongbae Kim, Shinyoung Lim, Jayeon Yun, Da-hye Kim
    Telemedicine and e-Health.2012; 18(9): 713.     CrossRef
  • Development of a smartphone-based diabetes self-care management system
    Sang Youl Rhee, Jeong-taek Woo, Young Seol Kim, Young Kil Choi
    Personalized Medicine Universe.2012; 1(1): 85.     CrossRef
  • Features of Mobile Diabetes Applications: Review of the Literature and Analysis of Current Applications Compared Against Evidence-Based Guidelines
    Taridzo Chomutare, Luis Fernandez-Luque, Eirik Årsand, Gunnar Hartvigsen
    Journal of Medical Internet Research.2011; 13(3): e65.     CrossRef
Review
Autophagy in Diabetes.
Hye Seung Jung, Myung Shik Lee
Korean Diabetes J. 2009;33(6):453-457.   Published online December 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.6.453
  • 2,007 View
  • 35 Download
AbstractAbstract PDF
Diabetes mellitus is characterized by decreased insulin secretion and action. Decreased insulin secretion results from a reduction in mass and/or function of pancreatic beta-cells. Apoptosis, oxidative stress, mitochondrial dysfunction, and endoplasmic reticulum (ER) stress responses have been suggested as mechanisms for the changes in beta-cells in type 2 diabetes; however, the underlying causes have not been clearly elucidated. Autophagy is an intracellular process that maintains cellular homeostasis through degradation and recycling of organelles. Recently, we reported reduction of beta-cell mass in autophagy-deficient mice. Pancreatic insulin content was also decreased due to the decreased beta-cell mass and the reduced number of insulin granules. Morphological analysis of these beta-cells revealed an accumulation of ubiquitinated proteins, swollen mitochondria, and distended ER. Insulin secretory function ex vivo was also impaired. As a result, autophagy-deficient mice showed hypoinsulinemia and hyperglycemia. These results suggested that autophagy is necessary to maintain the structure, mass and function of beta-cells. In addition, as autophagy may play a protective role against ER stress and rejuvenate organelle function, impaired autophagy may lead to mitochondrial dysfunction and ER stress, which have been implicated as causes of insulin resistance. Therefore, in addition to beta-cell homeostasis, dysregulated autophagy may possibly be involved in insulin resistance.
Original Article
Effects of Islet Transplantation on Endogenous beta-cell Regeneration after Partial Pancreatectomy in Rodents.
Hye Seung Jung, You Ran Ahn, Seung Hoon Oh, Jung Hwa Jung, Tae Hyun Kim, You Cheol Hwang, Mira Kang, Yongsuk Bae, Young seok Kim, Jae Hoon Chung, Yong Ki Min, Myung Shik Lee, Moon Kyu Lee, Kwang Won Kim
Korean Diabetes J. 2007;31(2):113-122.   Published online March 1, 2007
DOI: https://doi.org/10.4093/jkda.2007.31.2.113
  • 2,391 View
  • 21 Download
AbstractAbstract PDF
BACKGROUND
Islet transplantation is one of regimens supplying the deficient insulin in diabetes patients, but the effects of islet grafts on the changes of endogenous beta-cells are not clear. In the present study, we examined the changes of endogenous beta-cell mass after islet transplantation in partially pancreatectomized mice. METHODS: Balb/c mice were 70% pancreatectomized, transplanted with syngeneic islets (group IV), and were compared with pancreatectomized mice treated with insulin (group III) or no insulin (group II). Blood glucose levels and body weight were monitored. Remnant pancreas was obtained at 6 or 10 days after pancreatectomy, and immunohistochemical staining was done for the evaluation of beta-cell mass changes. RESULTS: Hyperglycemia and weight loss were induced after pancreatectomy. After islet transplantation or insulin treatment, blood glucose levels recovered to normal, and body weight started to increase. Plasma insulin levels were higher and beta-cell mass was larger in group IV than in group II (P < 0.05). Especially, the difference of beta-cell mass between them was more evident at 7 days as compared to at 3 day after transplantation. When compared to group III, group IV showed larger individual beta-cell area after 7 days and larger beta-cell mass after 3 days of islet transplantation (P < 0.05). CONCLUSION: These observations indicate that islet transplantation plays a role in enhancing remnant beta-cell regeneration after partial pancreatectomy in rodents.
Review
Adiponectin and Diabetes Mellitus.
Hye Seung Jung, Kyong Soo Park
Korean Diabetes J. 2004;28(4):239-249.   Published online August 1, 2004
  • 919 View
  • 20 Download
AbstractAbstract PDF
No abstract available.
Randomized Controlled Trial
The Effects of Insulin Sensitizers on the Plasma Concentrations of Adipokines in Type 2 Diabetic Patients.
Hye Seung Jung, Young Min Cho, Kyung Won Kim, Byung Soo Youn, Kang Yeol Yu, Hong Je Park, Chan Soo Shin, Seong Yeon Kim, Hong Kyu Lee, Kyong Soo Park
Korean Diabetes J. 2003;27(6):476-489.   Published online December 1, 2003
  • 1,311 View
  • 25 Download
AbstractAbstract PDF
BACKGROUND
Resistin, leptin and adiponectin are proteins secreted from adipose tissue, and have been suggested to play roles in insulin sensitivity. The effects of the circulating levels of two different types of insulin sensitizer, rosiglitazone and metformin, in type 2 diabetic patients were examined to elucidate the relationship between adipokines and insulin resistance. METHODS: Thirty type 2 diabetic patients, who showed poor glycemic control when administered 4 mg glimepiride a day, without severe diabetic complications or medical illness, were randomized to receive an additional 4mg rosiglitazone or 1000 mg metformin a day. The plasma resistin, leptin and adiponectin concentrations were measured at the baseline and after 6 months of treatment. The anthropometric parameters, fasting plasma glucose, HbA1C, total cholesterol, triglyceride, HDL-cholesterol and free fatty acids were also measured. Certain single nucleotide polymorphisms of adipokine genes were also identified. RESULTS: There were no significant differences in the reductions of the plasma glucose and HbA1C levels, after 6 months of treatment, between the two groups. The plasma resistin concentrations decreased, the adiponectin significantly increased and the leptin showed a tendency to increase in the rosiglitazone group. In the metformin group, only the resistin concentration significantly increased. However, the changes in the adipokines did not correlate with the HOMA-IR in either group. The reduction in the HbA1C due to rosiglitazone was greater if the initial leptin level was high, if there was a G allele on the -420th locus of the resistin gene, or the 45th locus of the APM1 (adiponectin gene) was the T-homozygote or there was a T allele on the 276th locus of the APM1. Those due to metfromin were greater with high initial adiponectin levels. CONCLUSION: In type 2 diabetic patients, showing poor glycemic control with sulfonylurea therapy, rosiglitazone or metformin treatment changed some of the adipokine concentrations, but these changes were not clearly related with insulin resistance. Polymorphisms of certain adipokine genes seem to have a relation to the susceptibility of rosiglitazone.

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer
TOP