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You Jeong Kim  (Kim YJ) 2 Articles
Co-Culture of α TC-6 Cells and β TC-1 Cells: Morphology and Function
Sung Man Kim, Eun Ju Lee, Hye Sook Jung, Na Han, You Jeong Kim, Tae Kyoon Kim, Tae Nyun Kim, Min Jeong Kwon, Soon Hee Lee, Jeong Hyun Park, Byoung Doo Rhee, Mi-Kyung Kim
Endocrinol Metab. 2015;30(1):92-97.   Published online March 27, 2015
DOI: https://doi.org/10.3803/EnM.2015.30.1.92
  • 4,588 View
  • 71 Download
  • 4 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   
Background

In vitro experiments using only β-cell lines instead of islets are limited because pancreatic islets are composed of four different types of endocrine cells. Several recent studies have focused on cellular interactions among these cell types, especially α- and β-cells. Because islet isolation needs time and experience, we tested a simple co-culture system with α- and β-cells. Their morphology and function were assessed by comparison to each single cell culture and pancreatic islets.

Methods

α TC-6 cells and β TC-1 cells were maintained in Dulbecco's Minimal Essential Medium containing 5 mM glucose and 10% fetal bovine serum. Cells were mixed at a 1:1 ratio (5×105) in 6-well plates and cultured for 24, 48, and 72 hours. After culture, cells were used for insulin and glucagon immunoassays and tested for glucose-stimulated insulin secretion (GSIS).

Results

α TC-6 and β TC-1 cells became condensed by 24 hours and were more strongly compacted after 48 hours. β TC-1 cells showed both β-β and β-α cell contacts. GSIS increased with increasing glucose concentration in co-cultured cells, which showed lower secreted insulin levels than β TC-1 cells alone. The increase in the secreted insulin/insulin content ratio was significantly lower for co-cultured cells than for β-cells alone (P=0.04). Compared to islets, the α-/β-cell co-culture showed a higher ratio of GSIS to insulin content, but the difference was not statistically significant (P=0.09).

Conclusion

α TC-6 and β TC-1 cells in the co-culture system showed cell-to-cell contacts and a similar stimulated insulin secretion pattern to islets. The co-culture system may be used to better mimic pancreatic islets in in vitro assessments.

Citations

Citations to this article as recorded by  
  • Recent advances in the design of implantable insulin secreting heterocellular islet organoids
    M. Birgul Akolpoglu, Yasemin Inceoglu, Ugur Bozuyuk, Ana Rita Sousa, Mariana B. Oliveira, João F. Mano, Seda Kizilel
    Biomaterials.2021; 269: 120627.     CrossRef
  • Pancreatic β Cells Inhibit Glucagon Secretion from α Cells: An In Vitro Demonstration of α–β Cell Interaction
    Wenqian Gu, Camilla Christine Bundgaard Anker, Christine Bodelund Christiansen, Tilo Moede, Per-Olof Berggren, Kjeld Hermansen, Søren Gregersen, Per Bendix Jeppesen
    Nutrients.2021; 13(7): 2281.     CrossRef
  • The Role of Pancreatic Alpha Cells and Endothelial Cells in the Reduction of Oxidative Stress in Pseudoislets
    Fredrik C. Wieland, Mireille M.J.P.E. Sthijns, Thomas Geuens, Clemens A. van Blitterswijk, Vanessa L.S. LaPointe
    Frontiers in Bioengineering and Biotechnology.2021;[Epub]     CrossRef
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Obesity and Metabolism
A1c Variability Can Predict Coronary Artery Disease in Patients with Type 2 Diabetes with Mean A1c Levels Greater than 7
Eun Ju Lee, You Jeong Kim, Tae Nyun Kim, Tae Ik Kim, Won Kee Lee, Mi-Kyung Kim, Jeong Hyun Park, Byoung Doo Rhee
Endocrinol Metab. 2013;28(2):125-132.   Published online June 18, 2013
DOI: https://doi.org/10.3803/EnM.2013.28.2.125
  • 3,662 View
  • 28 Download
  • 12 Web of Science
  • 15 Crossref
AbstractAbstract PDFPubReader   
Background

Recent studies suggested that the association of acute glucose variability and diabetic complications was not consistent, and that A1c variability representing long term glucose fluctuation may be related to coronary atherosclerosis in patients with type 1 diabetes. In this study, we attempt to determine whether or not A1c variability can predict coronary artery disease (CAD) in patients with type 2 diabetes.

Methods

We reviewed data of patients with type 2 diabetes who had undergone coronary angiography (CAG) and had been followed up with for 5 years. The intrapersonal standard deviation (SD) of serially-measured A1c levels adjusted by the different number of assessments among patients (adj-A1c-SD) was considered to be a measure of the variability of A1c.

Results

Among the 269 patients, 121 of them had type 2 diabetes with CAD. In patients with A1c ≥7%, the mean A1c levels and A1c levels at the time of CAG among the three groups were significantly different. The ratio of patients with CAD was the highest in the high adj-A1c-SD group and the lowest in the low adj-A1c-SD group (P=0.017). In multiple regression analysis, adj-A1c-SD was an independent predictor for CAD in subjects with A1c ≥7% (odds ratio, 2.140; P=0.036).

Conclusion

Patients with higher A1c variability for several years showed higher mean A1c levels. A1c variability can be an independent predictor for CAD as seen in angiographs of patients with type 2 diabetes with mean A1c levels over 7%.

Citations

Citations to this article as recorded by  
  • Intermediate- and long-term associations between air pollution and ambient temperature and glycated hemoglobin levels in women of child bearing age
    Mike Z. He, Itai Kloog, Allan C. Just, Iván Gutiérrez-Avila, Elena Colicino, Martha M. Téllez-Rojo, María Luisa Pizano-Zárate, Marcela Tamayo-Ortiz, Alejandra Cantoral, Diana C. Soria-Contreras, Andrea A. Baccarelli, Robert O. Wright, Maayan Yitshak-Sade
    Environment International.2022; 165: 107298.     CrossRef
  • Correlation between HbA1c and Triglyceride Level with Coronary Stenosis Degree in Type 2 Diabetes Mellitus with Coronary Heart Disease
    Laily Adninta, Indranila Samsuria, Edward Kurnia Setiawan Limijadi
    Open Access Macedonian Journal of Medical Sciences.2022; 10(B): 944.     CrossRef
  • Long-Term Glycemic Variability and Vascular Complications in Type 2 Diabetes: Post Hoc Analysis of the FIELD Study
    Emma S Scott, Andrzej S Januszewski, Rachel O’Connell, Gregory Fulcher, Russell Scott, Antero Kesaniemi, Linda Wu, Stephen Colagiuri, Anthony Keech, Alicia J Jenkins
    The Journal of Clinical Endocrinology & Metabolism.2020; 105(10): e3638.     CrossRef
  • How Continuity in Service Impacts Process Variability: Evidence from a Primary Care Setting
    Vishal Ahuja, Carlos Alvarez, Bradley R. Staats
    SSRN Electronic Journal .2019;[Epub]     CrossRef
  • Association of hemoglobin A1c variability and the incidence of heart failure with preserved ejection fraction in patients with type 2 diabetes mellitus and arterial hypertension
    Jun Gu, Yu-Qi Fan, Jun-Feng Zhang, Chang-Qian Wang
    Hellenic Journal of Cardiology.2018; 59(2): 91.     CrossRef
  • Prognostic impact of HbA1c variability on long-term outcomes in patients with heart failure and type 2 diabetes mellitus
    Jun Gu, Jian-an Pan, Yu-qi Fan, Hui-li Zhang, Jun-feng Zhang, Chang-qian Wang
    Cardiovascular Diabetology.2018;[Epub]     CrossRef
  • Cardiovascular Autonomic Neuropathy Predicts Higher HbA1c Variability in Subjects with Type 2 Diabetes Mellitus
    Yeoree Yang, Eun-Young Lee, Jae-Hyoung Cho, Yong-Moon Park, Seung-Hyun Ko, Kun-Ho Yoon, Moo-Il Kang, Bong-Yun Cha, Seung-Hwan Lee
    Diabetes & Metabolism Journal.2018; 42(6): 496.     CrossRef
  • Glycated hemoglobin level is an independent predictor of major adverse cardiac events after nonfatal acute myocardial infarction in nondiabetic patients
    Chin-Lan Chen, David H.-T. Yen, Chin-Sheng Lin, Shih-Hung Tsai, Sy-Jou Chen, Wayne H.-H. Sheu, Chin-Wang Hsu
    Medicine.2017; 96(18): e6743.     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
  • Association between hemoglobin A1c variability and subclinical coronary atherosclerosis in subjects with type 2 diabetes
    Hae Kyung Yang, Borami Kang, Seung-Hwan Lee, Kun-Ho Yoon, Byung-Hee Hwang, Kiyuk Chang, Kyungdo Han, Gunseog Kang, Jae Hyoung Cho
    Journal of Diabetes and its Complications.2015; 29(6): 776.     CrossRef
  • Glycated Albumin Levels in Patients with Type 2 Diabetes Increase Relative to HbA1cwith Time
    Hye-jin Yoon, Yong-ho Lee, Kwang Joon Kim, So Ra Kim, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Byung-Wan Lee
    BioMed Research International.2015; 2015: 1.     CrossRef
  • Brief Review of Articles in 'Endocrinology and Metabolism' in 2013
    Won-Young Lee
    Endocrinology and Metabolism.2014; 29(3): 251.     CrossRef
  • Inverse Association between Glycated Albumin and Insulin Secretory Function May Explain Higher Levels of Glycated Albumin in Subjects with Longer Duration of Diabetes
    Yong-ho Lee, Mi Hyang Kown, Kwang Joon Kim, Eun Young Lee, Daham Kim, Byung-Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee, Marià Alemany
    PLoS ONE.2014; 9(9): e108772.     CrossRef
  • HbA1c Variability and Micro- and Macrovascular Complications of Diabetes
    Hae Kyung Yang, Seung-Hwan Lee
    The Journal of Korean Diabetes.2014; 15(4): 202.     CrossRef
  • Letter: A1c Variability Can Predict Coronary Artery Disease in Patients with Type 2 Diabetes with Mean A1c Level Greater than 7 (Endocrinol Metab 2013;28:125-32, Eun Ju Lee et al.)
    Hye Seung Jung
    Endocrinology and Metabolism.2013; 28(4): 346.     CrossRef
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