Diabetes & Metabolism Journal

Hae Kyung Kim (Kim HK)

2 Articles

Complications
Renal Tubular Damage Marker, Urinary N-acetyl-β-D-Glucosaminidase, as a Predictive Marker of Hepatic Fibrosis in Type 2 Diabetes Mellitus: Hae Kyung Kim, Minyoung Lee, Yong-ho Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee; Diabetes Metab J. 2022;46(1):104-116. Published online July 13, 2021; DOI: https://doi.org/10.4093/dmj.2020.0273

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Background
Non-alcoholic steatohepatitis is closely associated with the progression of diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM). We investigated whether urinary N-acetyl-β-D-glucosaminidase (u-NAG), an early renal tubular damage biomarker in DKD, could be related to the degree of hepatic fibrosis in patients with T2DM.
Methods
A total of 300 patients with T2DM were enrolled in this study. Hepatic steatosis and fibrosis were determined using transient elastography. The levels of urinary biomarkers, including u-NAG, albumin, protein, and creatinine, and glucometabolic parameters were measured.
Results
Based on the median value of the u-NAG to creatinine ratio (u-NCR), subjects were divided into low and high u-NCR groups. The high u-NCR group showed a significantly longer duration of diabetes, worsened hyperglycemia, and a more enhanced hepatic fibrosis index. A higher u-NCR was associated with a greater odds ratio for the risk of higher hepatic fibrosis stage (F2: odds ratio, 1.99; 95% confidence interval [CI], 1.04 to 3.82). Also, u-NCR was an independent predictive marker for more advanced hepatic fibrosis, even after adjusting for several confounding factors (β=1.58, P<0.01).
Conclusion
The elevation of u-NAG was independently associated with a higher degree of hepatic fibrosis in patients with T2DM. Considering the common metabolic milieu of renal and hepatic fibrosis in T2DM, the potential use of u-NAG as an effective urinary biomarker reflecting hepatic fibrosis in T2DM needs to be validated in the future.

Citations

Citations to this article as recorded by

Intermittent fasting plus early time-restricted eating versus calorie restriction and standard care in adults at risk of type 2 diabetes: a randomized controlled trial
Xiao Tong Teong, Kai Liu, Andrew D. Vincent, Julien Bensalem, Bo Liu, Kathryn J. Hattersley, Lijun Zhao, Christine Feinle-Bisset, Timothy J. Sargeant, Gary A. Wittert, Amy T. Hutchison, Leonie K. Heilbronn
Nature Medicine.2023; 29(4): 963. CrossRef
Significance of Diabetic Kidney Disease Biomarkers in Predicting Metabolic-Associated Fatty Liver Disease
Jaehyun Bae, Byung-Wan Lee
Biomedicines.2023; 11(7): 1928. CrossRef
Abdominal adipose tissue and type 2 diabetic kidney disease: adipose radiology assessment, impact, and mechanisms
Fei Lu, Jinlei Fan, Fangxuan Li, Lijing Liu, Zhiyu Chen, Ziyu Tian, Liping Zuo, Dexin Yu
Abdominal Radiology.2023;[Epub] CrossRef
β‐Amyrin ameliorates diabetic nephropathy in mice and regulates the miR‐181b‐5p/HMGB2 axis in high glucose‐stimulated HK‐2 cells
Wenhua Xu, Hongwu Zhang, Qinfeng Zhang, Jialan Xu
Environmental Toxicology.2022; 37(3): 637. CrossRef
High Glycated Hemoglobin Instead of High Body Mass Index Might Increase the Urine N-Acetyl-β-D-glucosaminidase Con-Centration in Children and Adolescents with Diabetes Mellitus
Jin-Soon Suh, Kyoung Soon Cho, Seul Ki Kim, Shin-Hee Kim, Won Kyoung Cho, Min Ho Jung, Moon Bae Ahn
Life.2022; 12(6): 879. CrossRef

Technology/Device
Data Configuration and Publication Trends for the Korean National Health Insurance and Health Insurance Review & Assessment Database: Hae Kyung Kim, Sun Ok Song, Junghyun Noh, In-Kyung Jeong, Byung-Wan Lee; Diabetes Metab J. 2020;44(5):671-678. Published online October 21, 2020; DOI: https://doi.org/10.4093/dmj.2020.0207

6,411 View
235 Download
46 Citations

Abstract PDF PubReader ePub

Background
Big data reports related to diseases and health care for the Korean population have been published since the National Health Insurance Service (NHIS) and the Health Insurance Review & Assessment (HIRA) Service provided limited open access to their databases. Here, we reviewed the structure, content, and means of using data from the National Health Insurance (NHI) system for the benefit of Korean researchers and presented the latest publication trends in Korean healthcare data procured from the NHI and HIRA databases.
Methods
Since 2013, researchers have been able to obtain nationwide population-based studies using the NHI and HIRA databases of the insured. We searched publications using the NHI and the HIRA databases between 2013 and 2019 retrieved from PubMed.
Results
The NHI and HIRA databases provide nationwide population-based data. The total number of publications from 2014 to 2019 using NHI and HIRA databases is 2,541 and 655, respectively. A total of 5,465 endocrinology-related studies were performed during 2014 to 2019.
Conclusion
The NHIS and HIRA databases have provided tools for guidelines to approach world-leading population-based epidemiology and disease research.

Citations

Citations to this article as recorded by

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