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Hun Sung Kim  (Kim HS) 2 Articles
Cystatin C is a Valuable Marker for Predicting Future Cardiovascular Diseases in Type 2 Diabetic Patients.
Seung Hwan Lee, Kang Woo Lee, Eun Sook Kim, Ye Ree Park, Hun Sung Kim, Shin Ae Park, Mi Ja Kang, Yu Bai Ahn, Kun Ho Yoon, Bong Yun Cha, Ho Young Son, Hyuk Sang Kwon
Korean Diabetes J. 2008;32(6):488-497.   Published online December 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.6.488
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  • 2 Crossref
AbstractAbstract PDF
BACKGROUND
Recent studies suggest that serum Cystatin C is both a sensitive marker for renal dysfunction and a predictive marker for cardiovascular diseases. We aimed to evaluate the association between Cystatin C and various biomarkers and to find out its utility in estimating risk for cardiovascular diseases in type 2 diabetic patients. METHODS: From June 2006 to March 2008, anthropometric measurements and biochemical studies including biomarkers for risk factors of cardiovascular diseases were done in 520 type 2 diabetic patients. A 10-year risk for coronary heart diseases and stroke was estimated using Framingham risk score and UKPDS risk engine. RESULTS: The independent variables showing statistically significant associations with Cystatin C were age (beta = 0.009, P < 0.0001), hemoglobin (beta = -0.038, P = 0.0006), serum creatinine (beta = 0.719, beta < 0.0001), uric acid (beta = 0.048, P = 0.0004), log hsCRP (beta = 0.035, P = 0.0021) and homocysteine (beta = 0.005, P = 0.0228). The levels of microalbuminuria, carotid intima-media thickness, fibrinogen and lipoprotein (a) also correlated with Cystatin C, although the significance was lost after multivariate adjustment. Calculated risk for coronary heart diseases increased in proportion to Cystatin C quartiles: 3.3 +/- 0.4, 6.2 +/- 0.6, 7.6 +/- 0.7, 8.4 +/- 0.7% from Framingham risk score (P < 0.0001); 13.1 +/- 0.9, 21.2 +/- 1.6, 26.1 +/- 1.7, 35.4 +/- 2.0% from UKPDS risk engine (P < 0.0001) (means +/- SE). CONCLUSIONS: Cystatin C is significantly correlated with various emerging biomarkers for cardiovascular diseases. It was also in accordance with the calculated risk for cardiovascular diseases. These findings verify Cystatin C as a valuable and useful marker for predicting future cardiovascular diseases in type 2 diabetic patients.

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  • Lack of Association between Serum Cystatin C Levels and Coronary Artery Disease in Diabetic Patients
    Eun Hee Kim, Ji Hee Yu, Sang Ah Lee, Eui Young Kim, Won Gu Kim, Seung Hun Lee, Eun Hee Cho, Eun Hee Koh, Woo Je Lee, Min-Seon Kim, Joong-Yeol Park, Ki-Up Lee
    Korean Diabetes Journal.2010; 34(2): 95.     CrossRef
  • Insulin resistance and inflammation may have an additional role in the link between cystatin C and cardiovascular disease in type 2 diabetes mellitus patients
    Seung-Hwan Lee, Shin-Ae Park, Seung-Hyun Ko, Hyeon-Woo Yim, Yu-Bae Ahn, Kun-Ho Yoon, Bong-Yun Cha, Ho-Young Son, Hyuk-Sang Kwon
    Metabolism.2010; 59(2): 241.     CrossRef
Mutation Screening of HNF-1alpha Gene in Korean Women with Gestational Diabetes Mellitus.
Hun Sung Kim, Sun Hee Hwang, Eun Sun Choi, So Young Park, Chang Hoon Yim, Ki Ok Han, Hyun Koo Yoon, Ho Yeon Chung, Kyung Seon Kim, Jeong Bok, Jong Young Lee, Sung Hoon Kim
Korean Diabetes J. 2008;32(1):38-43.   Published online February 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.1.38
  • 2,919 View
  • 24 Download
  • 2 Crossref
AbstractAbstract PDF
BACKGROUND
S: Gestational diabetes mellitus (GDM) is defined as glucose intolerance with onset or first detection during pregnancy and mostly caused by insulin resistance and beta-cell dysfunction like type 2 diabetes. However, autoimmune or monogenic diabetes can contribute to GDM. Maturity-onset diabetes of the young (MODY) is a monogenic form of diabetes characterized by an early age of onset and an autosomal dominant pattern of inheritance. Most MODY cases are attributable to mutations in HNF-1alpha gene, also known as MODY3. We investigated whether mutations in HNF-1alpha gene are present in Korean women with GDM. METHODS: A total of 96 Korean women with GDM who have a family history of DM were screened for mutations in the HNF-1alpha gene. We evaluated the clinical characteristics of GDM women with HNF-1alpha gene mutations. RESULTS: Five of 96 patients (5.2%) were found to have a mutation in HNF-1alpha gene. Four of those (-23C > G, 833G > A (Arg278Gln), 923C > T, IVS5 + 106A > G) were novel and one (-124G > C) in promoter region was reported in previous study. The mean age of GDM women with mutations of HNF-1alpha gene was 34 years. Four women with MODY3 gene mutations required insulin therapy during pregnancy. GDM women with MODY3 gene mutations appeared to be decreased insulin secretion (HOMA-%B) than those without mutations. CONCLUSIONS: We have found the existence of MODY3 as well as novel HNF-1alpha gene mutations in Korean women with GDM.

Citations

Citations to this article as recorded by  
  • Update on Monogenic Diabetes in Korea
    Ye Seul Yang, Soo Heon Kwak, Kyong Soo Park
    Diabetes & Metabolism Journal.2020; 44(5): 627.     CrossRef
  • Maturity-Onset Diabetes of the Young: What Do Clinicians Need to Know?
    Sung-Hoon Kim
    Diabetes & Metabolism Journal.2015; 39(6): 468.     CrossRef

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