Sang Bong Ahn

Sang Bong Ahn

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2022 in Journal of Hepatology
Verified
Journal Article
Closed access
HKHwi Young Kim
Hwi Young Kim
PLPietro Lampertico
Pietro Lampertico
JNJoon Yeul Nam
Joon Yeul Nam
HLHyung-Chul Lee
Hyung-Chul Lee
SKSeung Up Kim
Seung Up Kim
JLJeong-Hoon Lee
Jeong-Hoon Lee

23 February 2022 in Gut and Liver
Verified
Journal Article
Open access
PDF file
Sangsoo HanSangsoo Han
Sangsoo Han
MCMiyoung Choi
Miyoung Choi
BLBora Lee
Bora Lee
HLHye Won Lee
Hye Won Lee
SKSeong Hee Kang
Seong Hee Kang
JYJeong-Ju Yoo
Jeong-Ju Yoo
Sangsoo Han, Miyoung Choi, Bora Lee, Hye-Won Lee, Seong Hee Kang, Yuri Cho, Sang Bong Ahn, Do Seon Song, Dae Won Jun, Jieun Lee, and Jeong-Ju Yoo. Gut and Liver 2022;16:952-63. https://doi.org/10.5009/gnl210391

9 June 2022 in Clinical and Molecular Hepatology
Verified
Journal Article
Open access
PDF file
JLJun-Hyuk Lee
Jun-Hyuk Lee
KPKyongmin Park
Kyongmin Park
HLHye Sun Lee
Hye Sun Lee
HPHoon-Ki Park
Hoon-Ki Park
JHJee Hye Han
Jee Hye Han
SASang Bong Ahn
Sang Bong Ahn
Background/Aims: The early detection and prevention of non-alcoholic fatty liver disease (NAFLD) has been emphasized considering the burden of this disease. Both hepatic and peripheral insulin resistances are strongly associated with NAFLD. We aimed to compare the predictive powers of a hepatic insulin resistance index, the homeostatic model assessment for insulin resistance (HOMA-IR), and a novel peripheral insulin resistance index, the metabolic score for insulin resistance (METS-IR), for the prediction of prevalent and incident NAFLD.Methods: Data from 8,360 adults aged 40–69 years at baseline and 5,438 adults without NAFLD who were followed-up at least once after the baseline survey in the Korean Genome and Epidemiology Study were analyzed. The survey was performed biennially, up to the eighth follow-up.Results: The predictive powers of the METS-IR and HOMA-IR for prevalent NAFLD were not significantly different (area under the receiver operating characteristic [ROC] curve [95% confidence interval]: METS-IR, 0.824 [0.814–0.834]; HOMAIR, 0.831 [0.821–0.842]; P=0.276). The area under the time-dependent ROC curve (Heagerty’s integrated area under the curve) of the METS-IR for incident NAFLD was 0.683 (0.671–0.695), significantly higher than that of the HOMA-IR (0.551 [0.539–0.563], P<0.001).Conclusions: The METS-IR is superior to the HOMA-IR for the prediction of incident NAFLD and is not inferior to the HOMA-IR for the prediction of prevalent NAFLD. This suggests that the METS-IR can be a more useful insulin resistance index than the HOMA-IR for the early detection and prevention of NAFLD in Korean population.

1 October 2021 in Clinical Nutrition
Verified
Journal Article
Closed access
JLJun-Hyuk Lee
Jun-Hyuk Lee
HLHye Sun Lee
Hye Sun Lee
SASang Bong Ahn
Sang Bong Ahn
YKYu-Jin Kwon
Yu-Jin Kwon

19 June 2025 in Journal of Hepatology
Verified
Journal Article
Closed access
JOJoo Hyun Oh
Joo Hyun Oh
EYEileen L. Yoon
Eileen L. Yoon
HPHuiyul Park
Huiyul Park
SLSeungmin Lee
Seungmin Lee
AJAe Jeong Jo
Ae Jeong Jo
DJDae Won Jun
Dae Won Jun

28 February 2023 in Clinical and Molecular Hepatology
Verified
Journal Article
Open access
PDF file
SASang Bong Ahn
Sang Bong Ahn
Nonalcoholic fatty liver disease (NAFLD) affects approximately 30% of the population worldwide and includes nonalcoholic fatty liver, nonalcoholic steatohepatitis (NASH), and cirrhosis. Since NAFLD-associated diseases begin with steatosis, the early diagnosis of steatosis helps to prevent the progression of NASH and fibrosis. In addition, more convenient and easily diagnosable serum biomarkers are becoming crucial in disease diagnosis. In this report, we summarize the known serum biomarkers for liver steatosis and provide guidance for their application in clinical practice.