Min Jin Lee

Min Jin Lee

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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20 January 2022 in Diabetes & Metabolism Journal
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Journal Article
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MLMin Jin Lee
Min Jin Lee
AKAh Reum Khang
Ah Reum Khang
YKYang Ho Kang
Yang Ho Kang
MYMi Sook Yun
Mi Sook Yun
DYDongwon Yi
Dongwon Yi
Background: The present study investigated the role of synergistic interaction between hyperuricemia and abdominal obesity as a risk factor for the components of metabolic syndrome.Methods: We performed a cross-sectional study using the data of 16,094 individuals from the seventh Korean National Health and Nutrition Examination Survey (2016 to 2018). The adjusted odds ratios of metabolic syndrome and its components were analyzed by multivariate logistic regression analysis. The presence of synergistic interaction between hyperuricemia and abdominal obesity was evaluated by calculating the additive scales—the relative excess risk due to interaction, attributable proportion due to interaction, and synergy index (SI).Results: There was a synergistic interaction between hyperuricemia and abdominal obesity in hypertriglyceridemia (men: SI, 1.39; 95% confidence interval [CI], 1.01 to 1.98; women: SI, 1.61; 95% CI, 1.02 to 2.69), and low high-density lipoprotein cholesterol (HDL-C) (men: SI, 2.03; 95% CI, 1.41 to 2.91; women: SI, 1.70; 95% CI, 1.05 to 2.95). There was no significant synergistic interaction between hyperuricemia and abdominal obesity for the risk of high blood pressure (men: SI, 1.22; 95% CI, 0.85 to 1.77; women: SI, 1.53; 95% CI, 0.79 to 2.97), and hyperglycemia (men: SI, 1.03; 95% CI, 0.72 to 1.47; women: SI, 1.39; 95% CI, 0.75 to 2.57).Conclusion: Hyperuricemia and abdominal obesity synergistically increased the risk of hypertriglyceridemia and low HDL-C in both sexes.

6 September 2017 in Diabetology & Metabolic Syndrome
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Journal Article
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JKJong Ho Kim
Jong Ho Kim
SOSeo Young Oh
Seo Young Oh
EKEun Heui Kim
Eun Heui Kim
MLMin Jin Lee
Min Jin Lee
YJYun Kyung Jeon
Yun Kyung Jeon
IKIn Joo Kim
In Joo Kim
Albuminuria is generally accepted as a sensitive marker of diabetic nephropathy but has limitations in predicting its progression. The aim of this study was to evaluate the use of nonalbumin proteinuria in addition to albuminuria for predicting the progression of type 2 diabetic nephropathy. In this retrospective observational study, the urine albumin-to-creatinine ratio (ACR) and the nonalbumin protein-to-creatinine ratio (NAPCR) were measured in 325 patients with type 2 diabetes and estimated glomerular filtration rates (eGFR) ≥30 mL/min/1.73 m2. The patients were divided into four groups based on the cutoff points for the urinary ACR (30 mg/g) and NAPCR (120 mg/g). The renal outcomes were chronic kidney disease (CKD) progression and accelerated eGFR decline. During the 4.3-year follow-up period, 25 (7.7%) patients showed CKD progression and 69 (21.2%) patients showed accelerated eGFR decline. After adjusting for nine clinical parameters, the group with a NAPCR greater than 120 mg/g exhibited higher cumulative incidences of CKD progression (hazard ratio 6.84; P = 0.001) and accelerated eGFR decline (hazard ratio 1.95; P = 0.011) than the group with a NAPCR < 120 mg/g. In patients with normoalbuminuria, the group with NAPCR levels greater than 120 mg/g also exhibited a higher cumulative incidence than that with NAPCR levels <120 mg/g of CKD progression (hazard ratio 21.82; P = 0.005). The addition of NAPCR to ACR improved the model fit for CKD progression and accelerated eGFR decline. Nonalbumin proteinuria showed additional value over and above that of albuminuria for predicting the progression of CKD in patients with type 2 diabetes.

1 January 2018 in Journal of Korean Medical Science
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Journal Article
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HKHyereen Kim
Hyereen Kim
BKBo Hyun Hyun Kim
Bo Hyun Hyun Kim
YKYoung Keum Kim
Young Keum Kim
JKJeong Mi Kim
Jeong Mi Kim
SOSeo Young Oh
Seo Young Oh
IKIn Joo Kim
In Joo Kim
Kim H, et al. J Korean Med Sci. 2018 May;33(27):e75. https://doi.org/10.3346/jkms.2018.33.e75

1 January 2017 in Journal of Korean Medical Science
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MLMin Jin Lee
Min Jin Lee
SKSang Soo Kim
Sang Soo Kim
IKIn Joo Kim
In Joo Kim
SSSang Heon Song
Sang Heon Song
EKEun Heui Kim
Eun Heui Kim
YKYong Ki Kim
Yong Ki Kim
Lee MJ, et al. J Korean Med Sci. 2017 May;32(5):782-788. https://doi.org/10.3346/jkms.2017.32.5.782

Verified
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DKDong Hee Kim
Dong Hee Kim
MLMin Jin Lee
Min Jin Lee
DKDasol Kang
Dasol Kang
JLJi Young Lee
Ji Young Lee
SPSujin Park
Sujin Park
DYDongwon Yi
Dongwon Yi
Sodium-glucose cotransporter-2 (SGLT2) inhibitors regulate blood glucose levels in patients with type 2 diabetes mellitus and may also exert anti-inflammatory and anti-atherosclerotic effects by promoting M2 macrophage polarization. Although SGLT2 is expressed in brain regions that influence glucose balance and cognitive function, its roles in the central nervous system are unclear. This study investigated the effects of empagliflozin (EMPA), an SGLT2 inhibitor, on hypothalamic inflammation associated with metabolic diseases. Mice were subjected to a high-fat diet (HFD) for varying durations (3 d, 3 weeks, and 16 weeks) and treated with EMPA for 3 weeks (NFD, NFD + EMPA, HFD, HFD + EMPA; n = 5/group). EMPA regulated the expression of astrocyte markers and pro-inflammatory cytokine mRNA in the hypothalamus of HFD-induced mice, which was linked to regulation of the NF-κB pathway. Under hyperglycemic conditions, EMPA may mitigate hypothalamic inflammation by modulating astrocyte activation via the NF-κB pathway. Our findings demonstrated that EMPA possesses therapeutic potential beyond merely lowering blood glucose levels, opening new avenues for addressing inflammation and providing neuroprotection in metabolic disease management.

14 September 2024 in The Journal of Clinical Endocrinology & Metabolism
Verified
Journal Article
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MLMin Jin Lee
Min Jin Lee
JBJi Hyun Bae
Ji Hyun Bae
AKAh Reum Khang
Ah Reum Khang
DYDongwon Yi
Dongwon Yi
JKJoo Yeon Kim
Joo Yeon Kim
YKYang Ho Kang
Yang Ho Kang
Context With rising the prevalence of type 2 diabetes mellitus (T2DM) and prediabetes, the importance of 1-hour post-load plasma glucose (1-h PG) for early hyperglycemia screening is emphasized. Objective This study investigates the utility of 1-h PG in predicting T2DM in adults with normal fasting plasma glucose (FPG) levels. Methods 7,504 participants were categorized into three groups: normal glucose tolerance (NGT) with 1-h PG < 155 mg/dL, NGT with 1-h PG ≥ 155 mg/dL, and impaired glucose tolerance (IGT). Insulin sensitivity and secretion indices were compared between groups at baseline, and T2DM incidence was analyzed using Cox proportional hazards models. The predictive abilities of 1-h PG and 2-hour post-load plasma glucose (2-h PG) were assessed with receiver operating characteristic analysis. Results At baseline, the composite insulin sensitivity index in the NGT & 1-h PG ≥ 155 mg/dL group was similarly reduced as in the IGT group (P = .076). Over a mean follow-up of 7.4 years, T2DM developed in 960 patients (12.8%). The highest risk was in the IGT group (hazard ratio [HR] 5.47), followed by the NGT & 1-h PG ≥ 155 mg/dL group (HR 2.74), compared to the NGT & 1-h PG < 155 mg/dL group. The 1-h PG level had a higher area under the curve (0.772) than other glycemic parameters, including 2-h PG. Conclusion Even with normal FPG, a 1-h PG ≥ 155 mg/dL indicates lower insulin sensitivity similar to IGT and increased T2DM risk, making it a more effective early screening tool than 2-h PG.