Diabetes & Metabolism Journal

Min Jung Lee (Lee MJ)

5 Articles

Metabolic Risk/Epidemiology
Association of Myosteatosis with Nonalcoholic Fatty Liver Disease, Severity, and Liver Fibrosis Using Visual Muscular Quality Map in Computed Tomography: Hwi Seung Kim, Jiwoo Lee, Eun Hee Kim, Min Jung Lee, In Young Bae, Woo Je Lee, Joong-Yeol Park, Hong-Kyu Kim, Chang Hee Jung; Diabetes Metab J. 2023;47(1):104-117. Published online January 26, 2023; DOI: https://doi.org/10.4093/dmj.2022.0081

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Background
The association of myosteatosis measured using visual muscular quality map in computed tomography (CT) with nonalcoholic fatty liver disease (NAFLD), its severity, and fibrosis was analyzed in a large population.
Methods
Subjects (n=13,452) with abdominal CT between 2012 and 2013 were measured total abdominal muscle area (TAMA) at L3 level. TAMA was segmented into intramuscular adipose tissue and skeletal muscle area (SMA), which was further classified into normal attenuation muscle area (NAMA) and low attenuation muscle area (LAMA). The following variables were adopted as indicators of myosteatosis: SMA/body mass index (BMI), NAMA/BMI, NAMA/TAMA, and LAMA/BMI. NAFLD and its severity were assessed by ultrasonography, and liver fibrosis was measured by calculating the NAFLD fibrosis score (NFS) and fibrosis-4 index (FIB-4) scores.
Results
According to multiple logistic regression analyses, as quartiles of SMA/BMI, NAMA/BMI, and NAMA/TAMA increased, the odds ratios (ORs) for NAFLD decreased in each sex (P for trend <0.001 for all). The ORs of moderate/severe NAFLD were significantly higher in the Q1 group than in the Q4 group for SMA/BMI, NAMA/BMI, and NAMA/TAMA in men. The ORs of intermediate/high liver fibrosis scores assessed by NFS and FIB-4 scores increased linearly with decreasing quartiles for SMA/BMI, NAMA/BMI, and NAMA/TAMA in each sex (P for trend <0.001 for all). Conversely, the risk for NAFLD and fibrosis were positively associated with LAMA/BMI quartiles in each sex (P for trend <0.001 for all).
Conclusion
A higher proportion of good quality muscle was associated with lower risks of NAFLD and fibrosis.

Citations

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Association of Myosteatosis with Nonalcoholic Fatty Liver Disease, Severity, and Liver Fibrosis Using Visual Muscular Quality Map in Computed Tomography (Diabetes Metab J 2023;47:104-17)
Hwi Seung Kim, Hong-Kyu Kim, Chang Hee Jung
Diabetes & Metabolism Journal.2023; 47(2): 304. CrossRef
Association of Myosteatosis with Nonalcoholic Fatty Liver Disease, Severity, and Liver Fibrosis Using Visual Muscular Quality Map in Computed Tomography (Diabetes Metab J 2023;47:104-17)
Eun Roh
Diabetes & Metabolism Journal.2023; 47(2): 301. CrossRef
Sarcopenia, a condition shared by various diseases: can we alleviate or delay the progression?
Giovanni Tarantino, Gaia Sinatti, Vincenzo Citro, Silvano Santini, Clara Balsano
Internal and Emergency Medicine.2023; 18(7): 1887. CrossRef
Association of Visceral Fat Obesity, Sarcopenia, and Myosteatosis with Non-Alcoholic Fatty Liver Disease without Obesity
Hong-Kyu Kim, Sung-Jin Bae, Min Jung Lee, Eun Hee Kim, Hana Park, Hwi Seung Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee, Jaewon Choe
Clinical and Molecular Hepatology.2023; 29(4): 987. CrossRef
Current view of the surgical anatomy of the anterolateral abdominal wall muscles and their aponeuroses
A.V. Pavlov, A.S. Baranova, A.V. Fedoseyev, A.I. Vvedensky, G.S. Lazutina, N.V. Ovchinnikova, I.V. Bakharev
Operativnaya khirurgiya i klinicheskaya anatomiya (Pirogovskii nauchnyi zhurnal).2023; 7(3): 44. CrossRef
Muscle Fat Content Is Associated with Nonalcoholic Fatty Liver Disease and Liver Fibrosis in Chinese Adults
W. Guo, X. Zhao, D. Cheng, X. Liang, M. Miao, X. Li, J. Lu, N. Xu, Shuang Hu, Qun Zhang
The journal of nutrition, health & aging.2023; 27(11): 960. CrossRef

Metabolic Risk/Epidemiology
Sex Differences of Visceral Fat Area and Visceral-to-Subcutaneous Fat Ratio for the Risk of Incident Type 2 Diabetes Mellitus: Eun Hee Kim, Hong-Kyu Kim, Min Jung Lee, Sung-Jin Bae, Jaewon Choe, Chang Hee Jung, Chul-Hee Kim, Joong-Yeol Park, Woo Je Lee; Diabetes Metab J. 2022;46(3):486-498. Published online November 18, 2021; DOI: https://doi.org/10.4093/dmj.2021.0095

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Background
This study aimed to determine the optimal cut-off values of visceral fat area (VFA) and visceral-to-subcutaneous fat ratio (VSR) for predicting incident type 2 diabetes mellitus (T2DM).
Methods
A total of 10,882 individuals (6,835 men; 4,047 women) free of T2DM at baseline aged between 30 and 79 years who underwent abdominal computed tomography scan between 2012 and 2013 as a part of routine health check-ups were included and followed. VFA, subcutaneous fat area, and VSR on L3 vertebral level were measured at baseline.
Results
During a median follow-up of 4.8 years, 730 (8.1% for men; 4.3% for women) incident cases of T2DM were identified. Receiver operating characteristic curve analysis showed that the optimal cut-off values of VFA and VSR for predicting incident T2DM were 130.03 cm² and 1.08 in men, respectively, and 85.7 cm² and 0.48 in women, respectively. Regardless of sex, higher VFA and VSR were significantly associated with a higher risk of incident T2DM. Compared with the lowest quartiles of VFA and VSR, the highest quartiles had adjusted odds ratios of 2.62 (95% confidence interval [CI], 1.73 to 3.97) and 1.55 (95% CI, 1.14 to 2.11) in men, respectively, and 32.49 (95% CI, 7.42 to 142.02) and 11.07 (95% CI, 3.89 to 31.50) in women, respectively.
Conclusion
Higher VFA and VSR at baseline were independent risk factors for the development of T2DM. Sex-specific reference values for visceral fat obesity (VFA ≥130 cm² or VSR ≥1.0 in men; VFA ≥85 cm² or VSR ≥0.5 in women) are proposed for the prediction of incident T2DM.

Citations

Citations to this article as recorded by

Body Composition and Metabolic Dysfunction Really Matter for the Achievement of Better Outcomes in High-Grade Serous Ovarian Cancer
Mauricio A. Cuello, Fernán Gómez, Ignacio Wichmann, Felipe Suárez, Sumie Kato, Elisa Orlandini, Jorge Brañes, Carolina Ibañez
Cancers.2023; 15(4): 1156. CrossRef
MEDICINAL BIOMAGNETISM FOR THE TREATMENT OF OBESITY
Ana Vergínia Campagnollo Bueno, Michelli Gonçalves Seneda, Ângela Mara Rambo, Ana Clara Campagnolo Gonçalves Toledo, Caroline Cabral de Azevedo, Adriane Viapiana Bossa
Health and Society.2023; 3(01): 411. CrossRef
Cumulative exposure to metabolic syndrome in a national population-based cohort of young adults and sex-specific risk for type 2 diabetes
Min-Kyung Lee, Jae-Hyuk Lee, Seo Young Sohn, Jiyeon Ahn, Oak-Kee Hong, Mee-Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Kyungdo Han, Hyuk-Sang Kwon
Diabetology & Metabolic Syndrome.2023;[Epub] CrossRef
The correlation between visceral fat/subcutaneous fat area ratio and monocyte/high-density lipoprotein ratio in patients with type 2 diabetes mellitus and albuminuria
Haiyan Lin, Jun Zhu, Chen Zheng, Xiaoming Xu, Shandong Ye
Journal of Diabetes and its Complications.2023; 37(11): 108521. CrossRef
Effects of the abdominal fat distribution on the relationship between exposure to air pollutants and thyroid hormones among Korean adult males
Hyun-Jin Kim, Byungmi Kim, Seyoung Kim, Hyuktae Kwon, Jae Moon Yun, Belong Cho, Jin-Ho Park
European Journal of Medical Research.2023;[Epub] CrossRef
Association of Visceral Fat Obesity, Sarcopenia, and Myosteatosis with Non-Alcoholic Fatty Liver Disease without Obesity
Hong-Kyu Kim, Sung-Jin Bae, Min Jung Lee, Eun Hee Kim, Hana Park, Hwi Seung Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee, Jaewon Choe
Clinical and Molecular Hepatology.2023; 29(4): 987. CrossRef
Visceral adipose tissue reference data computed for GE HealthCare DXA from the National Health and Nutrition Examination Survey data set
Jonathan P. Bennett, Brandon K. Quon, Bo Fan, En Liu, Leila Kazemi, Rosa C. Villegas‐Valle, Raj Ahgun, Xian‐pin Wu, Hou‐De Zhou, Ying Lu, John A. Shepherd
Obesity.2023; 31(12): 2947. CrossRef
Comparison of bioelectrical body and visceral fat indices and anthropometric measures in relation to type 2 diabetes by sex among Chinese adults, a cross-sectional study
Jiangshan He, Binbin Zhang, Yaqi Fan, Yuxue Wang, Mianzhi Zhang, Chunjun Li, Li Zhang, Pei Guo, Minying Zhang
Frontiers in Public Health.2023;[Epub] CrossRef
The predictive significance of lipid accumulation products for future diabetes in a non-diabetic population from a gender perspective: an analysis using time-dependent receiver operating characteristics
Jiajun Qiu, Maobin Kuang, Yang Zou, Ruijuan Yang, Qing Shangguan, Dingyang Liu, Guotai Sheng, Wei Wang
Frontiers in Endocrinology.2023;[Epub] CrossRef
Cellular interplay between cardiomyocytes and non-myocytes in diabetic cardiomyopathy
Ren Jie Phang, Rebecca H. Ritchie, Derek J. Hausenloy, Jarmon G. Lees, Shiang Y. Lim
Cardiovascular Research.2022;[Epub] CrossRef
Implication of Sex Differences in Visceral Fat for the Assessment of Incidence Risk of Type 2 Diabetes Mellitus
Sang Hyeon Ju, Hyon-Seung Yi
Diabetes & Metabolism Journal.2022; 46(3): 414. CrossRef
Visceral fat area and body fat percentage measured by bioelectrical impedance analysis correlate with glycometabolism
Shuying Li, Shaoping Li, Jie Ding, Weihong Zhou
BMC Endocrine Disorders.2022;[Epub] CrossRef
The Demographic Specific Abdominal Fat Composition and Distribution Trends in US Adults from 2011 to 2018
Furong Xu, Jacob E. Earp, Bryan J. Blissmer, Ingrid E. Lofgren, Matthew J. Delmonico, Geoffrey W. Greene
International Journal of Environmental Research and Public Health.2022; 19(19): 12103. CrossRef
Visceral Obesity Is a More Important Factor for Colorectal Adenomas than Skeletal Muscle or Body Fat
Ji Yeon Seo, Yoo Min Han, Su Jin Chung, Seon Hee Lim, Jung Ho Bae, Goh Eun Chung
Cancers.2022; 14(21): 5256. CrossRef
Recent Advances in Visceral Obesity and Related Diseases
佳佳魏
Advances in Clinical Medicine.2022; 12(12): 11686. CrossRef
Gender differences in the ideal cutoffs of visceral fat area for predicting MAFLD in China
Pingping Yu, Huachao Yang, Xiaoya Qi, Ruixue Bai, Shouqin Zhang, Jianping Gong, Ying Mei, Peng Hu
Lipids in Health and Disease.2022;[Epub] CrossRef

Epidemiology
Longitudinal Changes of Body Composition Phenotypes and Their Association with Incident Type 2 Diabetes Mellitus during a 5-Year Follow-up in Koreans: Hong-Kyu Kim, Min Jung Lee, Eun-Hee Kim, Sung-Jin Bae, Jaewon Choe, Chul-Hee Kim, Joong-Yeol Park; Diabetes Metab J. 2019;43(5):627-639. Published online April 19, 2019; DOI: https://doi.org/10.4093/dmj.2018.0141

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Background

To elucidate longitudinal changes of complex body composition phenotypes and their association with incident type 2 diabetes mellitus.

Methods

A total of 17,280 (mean age, 48.1±8.2 years) Korean adults who underwent medical check-ups were included. The mean follow-up duration was 5.5±0.5 years. Body compositions were assessed using a bioelectrical impedance analysis. Four body composition phenotypes were defined using the median of appendicular skeletal muscle mass (ASM) index and fat mass index: low muscle/low fat (LM/LF); high muscle (HM)/LF; LM/high fat (HF); and HM/HF groups.

Results

Of the individuals in the LM/LF or HM/HF groups, over 60% remained in the same group, and over 30% were moved to the LM/HF group. Most of the LM/HF group remained in this group. In the baseline HM/LF group, approximately 30% stayed in the group, and the remaining individuals transitioned to the three other groups in similar proportions. Incident diabetes was significantly lower in participants who remained in the HM/LF group than those who transitioned to the LM/LF or LM/HF group from the baseline HM/LF group in men. ASM index was significantly associated with a decreased risk for incident diabetes in men regardless of obesity status (adjusted odds ratio [OR], 0.71 per kg/m²; 95% confidence interval [CI], 0.52 to 0.97 in non-obese) (adjusted OR, 0.87; 95% CI, 0.77 to 0.98 in obese) after adjusting for other strong risk factors (e.g., baseline glycosylated hemoglobin and homeostasis model assessment of insulin resistance).

Conclusion

Maintenance of ASM may be protective against the development of type 2 diabetes mellitus in men, regardless of obesity status.

Citations

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Association of serum gamma-glutamyl transferase with myosteatosis assessed by muscle quality mapping using abdominal computed tomography
Han Na Jung, Yun Kyung Cho, Hwi Seung Kim, Eun Hee Kim, Min Jung Lee, Joong-Yeol Park, Woo Je Lee, Hong-Kyu Kim, Chang Hee Jung
Clinical Imaging.2023; 93: 4. CrossRef
More appendicular lean mass relative to body mass index is associated with lower incident diabetes in middle-aged adults in the CARDIA study
Melanie S. Haines, Aaron Leong, Bianca C. Porneala, Victor W. Zhong, Cora E. Lewis, Pamela J. Schreiner, Karen K. Miller, James B. Meigs, Mercedes R. Carnethon
Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(1): 105. CrossRef
Association between hypertension and myosteatosis evaluated by abdominal computed tomography
Han Na Jung, Yun Kyung Cho, Hwi Seung Kim, Eun Hee Kim, Min Jung Lee, Woo Je Lee, Hong-Kyu Kim, Chang Hee Jung
Hypertension Research.2023; 46(4): 845. CrossRef
Longitudinal association between adiposity changes and lung function deterioration
Youngmok Park, Jiyoung Kim, Young Sam Kim, Ah Young Leem, Jinyeon Jo, Kyungsoo Chung, Moo Suk Park, Sungho Won, Ji Ye Jung
Respiratory Research.2023;[Epub] CrossRef
Relevance of body composition in phenotyping the obesities
Laura Salmón-Gómez, Victoria Catalán, Gema Frühbeck, Javier Gómez-Ambrosi
Reviews in Endocrine and Metabolic Disorders.2023; 24(5): 809. CrossRef
Metabolically healthy obese individuals are still at high risk for diabetes: Application of the marginal structural model
Hye Ah Lee, Hyesook Park
Diabetes, Obesity and Metabolism.2023;[Epub] CrossRef
Association of Visceral Fat Obesity, Sarcopenia, and Myosteatosis with Non-Alcoholic Fatty Liver Disease without Obesity
Hong-Kyu Kim, Sung-Jin Bae, Min Jung Lee, Eun Hee Kim, Hana Park, Hwi Seung Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee, Jaewon Choe
Clinical and Molecular Hepatology.2023; 29(4): 987. CrossRef
Association between type 2 diabetes and skeletal muscle quality assessed by abdominal computed tomography scan
Eun Hee Kim, Hong‐Kyu Kim, Min Jung Lee, Sung‐Jin Bae, Kyung Won Kim, Jaewon Choe
Diabetes/Metabolism Research and Reviews.2022;[Epub] CrossRef
Association between fat mass index, fat‐free mass index and hemoglobin A1c in a Japanese population: The Tohoku Medical Megabank Community‐based Cohort Study
Masato Takase, Tomohiro Nakamura, Takumi Hirata, Naho Tsuchiya, Mana Kogure, Fumi Itabashi, Naoki Nakaya, Yohei Hamanaka, Junichi Sugawara, Kichiya Suzuki, Nobuo Fuse, Akira Uruno, Eiichi N Kodama, Shinichi Kuriyama, Ichiro Tsuji, Shigeo Kure, Atsushi Hoz
Journal of Diabetes Investigation.2022; 13(5): 858. CrossRef
Relationship between low skeletal muscle mass, sarcopenic obesity and left ventricular diastolic dysfunction in Korean adults
Jee Hee Yoo, Sung Woon Park, Ji Eun Jun, Sang‐Man Jin, Kyu Yeon Hur, Moon‐Kyu Lee, Mira Kang, Gyuri Kim, Jae Hyeon Kim
Diabetes/Metabolism Research and Reviews.2021;[Epub] CrossRef
Reference Data and T-Scores of Lumbar Skeletal Muscle Area and Its Skeletal Muscle Indices Measured by CT Scan in a Healthy Korean Population
Eun Hee Kim, Kyung Won Kim, Yongbin Shin, Jiwoo Lee, Yousun Ko, Ye-Jee Kim, Min Jung Lee, Sung-Jin Bae, Sung Won Park, Jaewon Choe, Hong-Kyu Kim, Anne Newman
The Journals of Gerontology: Series A.2021; 76(2): 265. CrossRef
Age- and Sex-Related Differential Associations between Body Composition and Diabetes Mellitus
Eun Roh, Soon Young Hwang, Jung A Kim, You-Bin Lee, So-hyeon Hong, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
Diabetes & Metabolism Journal.2021; 45(2): 183. CrossRef
Cardiometabolic Profile of Different Body Composition Phenotypes in Children
Yi Ying Ong, Jonathan Y Huang, Navin Michael, Suresh Anand Sadananthan, Wen Lun Yuan, Ling-Wei Chen, Neerja Karnani, S Sendhil Velan, Marielle V Fortier, Kok Hian Tan, Peter D Gluckman, Fabian Yap, Yap-Seng Chong, Keith M Godfrey, Mary F-F Chong, Shiao-Yn
The Journal of Clinical Endocrinology & Metabolism.2021; 106(5): e2015. CrossRef
Age-related changes in muscle quality and development of diagnostic cutoff points for myosteatosis in lumbar skeletal muscles measured by CT scan
Hong-Kyu Kim, Kyung Won Kim, Eun Hee Kim, Min Jung Lee, Sung-Jin Bae, Yousun Ko, Taeyoung Park, Yongbin Shin, Ye-Jee Kim, Jaewon Choe
Clinical Nutrition.2021; 40(6): 4022. CrossRef
Comparison of muscle mass and quality between metabolically healthy and unhealthy phenotypes
Hong‐Kyu Kim, Min Jung Lee, Eun Hee Kim, Sung‐Jin Bae, Kyung Won Kim, Chul‐Hee Kim
Obesity.2021; 29(8): 1375. CrossRef
Association between muscle mass and insulin sensitivity independent of detrimental adipose depots in young adults with overweight/obesity
Melanie S. Haines, Laura E. Dichtel, Kate Santoso, Martin Torriani, Karen K. Miller, Miriam A. Bredella
International Journal of Obesity.2020; 44(9): 1851. CrossRef
Impact of Social Jetlag on Weight Change in Adults: Korean National Health and Nutrition Examination Survey 2016–2017
Jin Hwa Kim, Young Sang Lyu, Sang Yong Kim
International Journal of Environmental Research and Public Health.2020; 17(12): 4383. CrossRef
The relationships between sarcopenic skeletal muscle loss during ageing and macronutrient metabolism, obesity and onset of diabetes
Ailsa A. Welch, Richard P. G. Hayhoe, Donnie Cameron
Proceedings of the Nutrition Society.2020; 79(1): 158. CrossRef
Impact of the Dynamic Change of Metabolic Health Status on the Incident Type 2 Diabetes: A Nationwide Population-Based Cohort Study
Jung A Kim, Da Hye Kim, Seon Mee Kim, Yong Gyu Park, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi, Kyungdo Han, Hye Jin Yoo
Endocrinology and Metabolism.2019; 34(4): 406. CrossRef

Complications
Serum Total Bilirubin Levels Provide Additive Risk Information over the Framingham Risk Score for Identifying Asymptomatic Diabetic Patients at Higher Risk for Coronary Artery Stenosis: Jaechan Leem, Eun Hee Koh, Jung Eun Jang, Chang-Yun Woo, Jin Sun Oh, Min Jung Lee, Joon-Won Kang, Tae-Hwan Lim, Chang Hee Jung, Woo Je Lee, Joong-Yeol Park, Ki-Up Lee; Diabetes Metab J. 2015;39(5):414-423. Published online October 22, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.5.414

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Background

The diagnosis of coronary artery disease (CAD) is often delayed in patients with type 2 diabetes. Serum total bilirubin levels are inversely associated with CAD. However, no studies have examined whether this can be used as a biochemical marker for identifying asymptomatic diabetic patients at higher risk for having obstructive CAD.

Methods

We performed a cross-sectional study of 460 consecutive asymptomatic patients with type 2 diabetes. All patients underwent coronary computed tomographic angiography, and their serum total bilirubin levels were measured. Obstructive CAD was defined as ≥50% diameter stenosis in at least one coronary artery.

Results

Serum total bilirubin tertiles showed an inverse association with the prevalence of obstructive CAD. In multivariate logistic regression analysis, the odds ratio for the highest versus the lowest tertile of total bilirubin was 0.227 (95% confidence interval [CI], 0.130 to 0.398), and an increment of 1 µmol/L in serum total bilirubin level was associated with a 14.6% decrease in obstructive CAD after adjustment for confounding variables. Receiver operating characteristic curve analysis showed that the area under the curve for the Framingham Risk Score (FRS) plus serum total bilirubin level was 0.712 (95% CI, 0.668 to 0.753), which is significantly greater than that of the FRS alone (P=0.0028).

Conclusion

Serum total bilirubin level is inversely associated with obstructive CAD and provides additive risk information over the FRS. Serum total bilirubin may be helpful for identifying asymptomatic patients with type 2 diabetes who are at higher risk for obstructive CAD.

Citations

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DECREASE IN SERUM BILIRUBIN AS AN UNFAVORABLE MARKER OF CARDIOVASCULAR DISORDERS
L. M. Strilchuk, O. O. Zimba, I. B. Zhakun
Eastern Ukrainian Medical Journal.2020; 8(3): 268. CrossRef
Contemporary diagnostic algorithm for coronary artery disease: achievements and prospects
A. S. Akselrod, D. Yu. Shchekochikhin, E. S. Tebenkova, A. V. Zhelankin, D. A. Stonogina, E. A. Syrkina, S. K. Ternovoy
Kardiologiya i serdechno-sosudistaya khirurgiya.2019; 12(5): 418. CrossRef
Pharmacological actions and therapeutic potentials of bilirubin in islet transplantation for the treatment of diabetes
Qing Yao, Xue Jiang, Longfa Kou, Adelaide T. Samuriwo, He-Lin Xu, Ying-Zheng Zhao
Pharmacological Research.2019; 145: 104256. CrossRef
Evaluation of genetic effect of NOS3 and G×E interaction on the variability of serum bilirubin in a Han Chinese population
Yingshui Yao, Zhengmei Fang, Song Yang, Hailong Zhao, Yanchun Chen, Yuelong Jin, Xianghai Zhao, Lijun Zhu, Yuanrui Tian, Chong Shen
Nitric Oxide.2017; 70: 25. CrossRef
Supplementation with Phycocyanobilin, Citrulline, Taurine, and Supranutritional Doses of Folic Acid and Biotin—Potential for Preventing or Slowing the Progression of Diabetic Complications
Mark McCarty
Healthcare.2017; 5(1): 15. CrossRef
Effect of bilirubin concentration on the risk of diabetic complications: A meta-analysis of epidemiologic studies
Bo Zhu, Xiaomei Wu, Yifei Bi, Yang Yang
Scientific Reports.2017;[Epub] CrossRef
Role of Bilirubin in Diabetic Vascular Complications: Can Bilirubin Predict More than Just Liver Disease?
Jun Sung Moon
Diabetes & Metabolism Journal.2015; 39(5): 384. CrossRef

Serum Ceruloplasmin Level as a Predictor for the Progression of Diabetic Nephropathy in Korean Men with Type 2 Diabetes Mellitus: Min Jung Lee, Chang Hee Jung, Yu Mi Kang, Jung Eun Jang, Jaechan Leem, Joong-Yeol Park, Woo Je Lee; Diabetes Metab J. 2015;39(3):230-239. Published online April 22, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.3.230

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Background

Oxidative stress is known to be associated with progression of diabetic kidney disease. Ceruloplasmin acts as a pro-oxidant under conditions of severe oxidative stress. Thus, we conducted a longitudinal observational study to evaluate whether the serum ceruloplasmin level is a predictive biomarker for progression of diabetic nephropathy.

Methods

A total of 643 Korean men with type 2 diabetes mellitus were enrolled. Serum ceruloplasmin was measured using a nephelometric method. Progression of diabetic nephropathy was defined as transition in albuminuria class (i.e., normoalbuminuria to microalbuminuria, microalbuminuria to macroalbuminuria, or normoalbuminuria to macroalbuminuria) and/or a greater than 2-fold increase of serum creatinine at follow-up compared with the baseline value.

Results

During the follow-up period (median, 2.7 years; range, 0.3 to 4.4 years), 49 of 643 patients (7.6%) showed the progression of diabetic nephropathy and three patients (0.5%) developed end-stage renal disease. Baseline ceruloplasmin levels were higher in the progressors than in the nonprogressors (262.6±40.9 mg/L vs. 233.3±37.8 mg/L, P<0.001). Kaplan-Meier analysis showed a significantly higher incidence of nephropathy progression according to ceruloplasmin tertile (log-rank test, P<0.001). The hazard ratio (HR) for progression of diabetic nephropathy was significantly higher in the highest ceruloplasmin tertile category compared with the lowest ceruloplasmin tertile category, even after adjusting for confounding variables (HR, 3.32; 95% confidence interval, 1.28 to 8.61; P=0.003).

Conclusion

Baseline serum ceruloplasmin is an independent predictive factor for the progression of diabetic nephropathy in patients with type 2 diabetes mellitus.

Citations

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Shichun Du, Linhui Zhai, Shu Ye, Le Wang, Muyin Liu, Minjia Tan
Science China Life Sciences.2023; 66(11): 2587. CrossRef
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Microbiology Research.2023; 14(4): 1670. CrossRef
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Kenneth I. Ataga, Santosh L. Saraf, Vimal K. Derebail
Nature Reviews Nephrology.2022; 18(6): 361. CrossRef
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Ramlingareddy, Shivashankara A Ramachandrayya, Jeena Jacob, Malathi Mala
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Shilna Muttickal Swaminathan, Indu Ramachandra Rao, Srinivas Vinayak Shenoy, Attur Ravindra Prabhu, Pooja Basthi Mohan, Dharshan Rangaswamy, Mohan V Bhojaraja, Shivashankara Kaniyoor Nagri, Shankar Prasad Nagaraju
International Urology and Nephrology.2022; 55(4): 913. CrossRef
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Gurunadh Satyanarayana, Narendra Keisham, Hitender S Batra, Subrahmanya Murti V, Mansur Khan, Sandeep Gupta, Vikram Mahindra
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B. Zantour, S. Bouchareb, Z. El Ati, F. Boubaker, W. Alaya, W. Kossomtini, M. H. Sfar
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Veena Vijayakumar, Sushanta K. Samal, Smita Mohanty, Sanjay K. Nayak
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Nephrology Dialysis Transplantation.2018;[Epub] CrossRef
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D. N. Koye, J. E. Shaw, C. M. Reid, R. C. Atkins, A. T. Reutens, D. J. Magliano
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PLOS ONE.2016; 11(2): e0147981. CrossRef

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