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Dong Sun Kim  (Kim DS) 4 Articles
Obesity and Metabolic Syndrome
The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea
Wankyo Chung, Jung Hwan Park, Hye Soo Chung, Jae Myung Yu, Shinje Moon, Dong Sun Kim
Diabetes Metab J. 2019;43(5):675-682.   Published online April 26, 2019
DOI: https://doi.org/10.4093/dmj.2018.0169
  • 7,732 View
  • 59 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

In order to overcome the limitations of body mass index (BMI) and waist circumference (WC), the z-score of the log-transformed A Body Shape Index (LBSIZ) has recently been introduced. In this study, we analyzed the relationship between the LBSIZ and cardiovascular disease (CVD) in a Korean representative sample.

Methods

Data were collected from the Korea National Health and Nutrition Examination VI to V. The association between CVD and obesity indices was analyzed using a receiver operating characteristic curve. The cut-off value for the LBSIZ was estimated using the Youden index, and the odds ratio (OR) for CVD was determined via multivariate logistic regression analysis. ORs according to the LBSIZ value were analyzed using restricted cubic spline regression plots.

Results

A total of 31,227 Korean healthy adults were analyzed. Area under the curve (AUC) of LBSIZ against CVD was 0.686 (95% confidence interval [CI], 0.671 to 0.702), which was significantly higher than the AUC of BMI (0.583; 95% CI, 0.567 to 0.599) or WC (0.646; 95% CI, 0.631 to 0.661) (P<0.001). Similar results were observed for stroke and coronary artery diseases. The cut-off value for the LBSIZ was 0.35 (sensitivity, 64.5%; specificity, 64%; OR, 1.29, 95% CI, 1.12 to 1.49). Under restricted cubic spline regression, LBSIZ demonstrated that OR started to increase past the median value.

Conclusion

The findings of this study suggest that the LBSIZ might be more strongly associated with CVD risks compared to BMI or WC. These outcomes would be helpful for CVD risk assessment in clinical settings, especially the cut-off value of the LBSIZ suggested in this study.

Citations

Citations to this article as recorded by  
  • Body Shape Index and Cardiovascular Risk in Individuals With Obesity
    Nazlı Hacıağaoğlu, Can Öner, Hüseyin Çetin, Engin Ersin Şimşek
    Cureus.2022;[Epub]     CrossRef
  • Association between body shape index and risk of mortality in the United States
    Heysoo Lee, Hye Soo Chung, Yoon Jung Kim, Min Kyu Choi, Yong Kyun Roh, Wankyo Chung, Jae Myung Yu, Chang-Myung Oh, Shinje Moon
    Scientific Reports.2022;[Epub]     CrossRef
  • Utility of the Z-score of log-transformed A Body Shape Index (LBSIZ) in the assessment for sarcopenic obesity and cardiovascular disease risk in the United States
    Wankyo Chung, Jung Hwan Park, Hye Soo Chung, Jae Myung Yu, Dong Sun Kim, Shinje Moon
    Scientific Reports.2019;[Epub]     CrossRef
Clinical Diabetes & Therapeutics
Association between Serum Selenium Level and the Presence of Diabetes Mellitus: A Meta-Analysis of Observational Studies
Juno Kim, Hye Soo Chung, Min-Kyu Choi, Yong Kyun Roh, Hyung Joon Yoo, Jung Hwan Park, Dong Sun Kim, Jae Myung Yu, Shinje Moon
Diabetes Metab J. 2019;43(4):447-460.   Published online January 2, 2019
DOI: https://doi.org/10.4093/dmj.2018.0123
  • 6,277 View
  • 98 Download
  • 35 Web of Science
  • 35 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Epidemiological studies have suggested an association between selenium (Se) and diabetes mellitus (DM). However, different studies have reported conflicting results. Therefore, we performed a comprehensive meta-analysis to clarify the impact of Se on DM.

Methods

We searched the PubMed database for studies on the association between Se and DM from inception to June 2018.

Results

Twenty articles evaluating 47,930 participants were included in the analysis. The meta-analysis found that high levels of Se were significantly associated with the presence of DM (pooled odds ratios [ORs], 1.88; 95% confidence interval [CI], 1.44 to 2.45). However, significant heterogeneity was found (I2=82%). Subgroup analyses were performed based on the Se measurement methods used in each study. A significant association was found between high Se levels and the presence of DM in the studies that used blood (OR, 2.17; 95% CI, 1.60 to 2.93; I2=77%), diet (OR, 1.61; 95% CI, 1.10 to 2.36; I2=0%), and urine (OR, 1.49; 95% CI, 1.02 to 2.17; I2=0%) as samples to estimate Se levels, but not in studies on nails (OR, 1.24; 95% CI, 0.52 to 2.98; I2=91%). Because of significant heterogeneity in the studies with blood, we conducted a sensitivity analysis and tested the publication bias. The results were consistent after adjustment based on the sensitivity analysis as well as the trim and fill analysis for publication bias.

Conclusion

This meta-analysis demonstrates that high levels of Se are associated with the presence of DM. Further prospective and randomized controlled trials are warranted to elucidate the link better.

Citations

Citations to this article as recorded by  
  • Increased Expression of PHGDH Under High-Selenium Stress In Vivo
    Qin Wang, Jianrong Wang, Xue Zhang, Yiqun Liu, Feng Han, Xuesong Xiang, Yanbin Guo, Zhen-wu Huang
    Biological Trace Element Research.2024;[Epub]     CrossRef
  • Dosage-effect of selenium supplementation on blood glucose and oxidative stress in type 2 diabetes mellitus and normal mice
    Xiaxia Cai, Zhuo Hu, Mingyuan Zhang, Qinyu Dang, Qian Yang, Xiaoyan Zhao, Yandi Zhu, Yadi Zhang, Yuchen Wei, Haiqin Fang, Huanling Yu
    Journal of Trace Elements in Medicine and Biology.2024; 83: 127410.     CrossRef
  • Immunomodulation through Nutrition Should Be a Key Trend in Type 2 Diabetes Treatment
    Katarzyna Napiórkowska-Baran, Paweł Treichel, Marta Czarnowska, Magdalena Drozd, Kinga Koperska, Agata Węglarz, Oskar Schmidt, Samira Darwish, Bartłomiej Szymczak, Zbigniew Bartuzi
    International Journal of Molecular Sciences.2024; 25(7): 3769.     CrossRef
  • Biological Activity of Selenium and Its Impact on Human Health
    Giuseppe Genchi, Graziantonio Lauria, Alessia Catalano, Maria Stefania Sinicropi, Alessia Carocci
    International Journal of Molecular Sciences.2023; 24(3): 2633.     CrossRef
  • The Role of Selenium and Manganese in the Formation, Diagnosis and Treatment of Cervical, Endometrial and Ovarian Cancer
    Anna Golara, Mateusz Kozłowski, Paweł Guzik, Sebastian Kwiatkowski, Aneta Cymbaluk-Płoska
    International Journal of Molecular Sciences.2023; 24(13): 10887.     CrossRef
  • Association of Selenium Intake and Selenium Concentrations with Risk of Type 2 Diabetes in Adults: A Narrative Review
    Maha Alharithy, Nora Alafif
    Metabolites.2023; 13(6): 767.     CrossRef
  • Selenium-Containing Organic Fertilizer Application Affects Yield, Quality, and Distribution of Selenium in Wheat
    Peng Chen, Hiba Shaghaleh, Yousef Alhaj Hamoud, Jing Wang, Wenxia Pei, Xianfu Yuan, Jianjian Liu, Cece Qiao, Wenhui Xia, Jianfei Wang
    Life.2023; 13(9): 1849.     CrossRef
  • Selenium Species in Diabetes Mellitus Type 2
    Krystyna Pyrzynska, Aleksandra Sentkowska
    Biological Trace Element Research.2023;[Epub]     CrossRef
  • A Comprehensive Review on Selenium and Its Effects on Human Health and Distribution in Middle Eastern Countries
    Marek Kieliszek, Iqra Bano, Hamed Zare
    Biological Trace Element Research.2022; 200(3): 971.     CrossRef
  • Selenium and clarithromycin loaded PLA-GO composite wound dressings by electrospinning method
    Fatih Ciftci, Sumeyra Ayan, Nilüfer Duygulu, Yasemin Yilmazer, Zeynep Karavelioglu, Meyrem Vehapi, Rabia Cakır Koc, Mustafa Sengor, Hakan Yılmazer, Didem Ozcimen, Oguzhan Gunduz, Cem Bulent Ustundag
    International Journal of Polymeric Materials and Polymeric Biomaterials.2022; 71(12): 898.     CrossRef
  • The role of selenium in type-2 diabetes mellitus and its metabolic comorbidities
    Holger Steinbrenner, Leonidas H. Duntas, Margaret P. Rayman
    Redox Biology.2022; 50: 102236.     CrossRef
  • The Role of Selenium in Pathologies: An Updated Review
    Giulia Barchielli, Antonella Capperucci, Damiano Tanini
    Antioxidants.2022; 11(2): 251.     CrossRef
  • Selenium and Selenoproteins at the Intersection of Type 2 Diabetes and Thyroid Pathophysiology
    Francesca Gorini, Cristina Vassalle
    Antioxidants.2022; 11(6): 1188.     CrossRef
  • Higher selenium was associated with higher risk of diabetes: Consistent evidence from longitudinal and cross-sectional studies based on nail and serum selenium measures
    Ranqi Shao, Liqin Su, Li Li, Jinghuan Wu, Xiaohong He, Deqian Mao, Yibin Cheng, Jingyi Liu, Chen Chen, Yinlong Jin, Sujuan Gao
    Science of The Total Environment.2022; 840: 156618.     CrossRef
  • The Roles and Pathogenesis Mechanisms of a Number of Micronutrients in the Prevention and/or Treatment of Chronic Hepatitis, COVID-19 and Type-2 Diabetes Mellitus
    Khalid M. Sumaily
    Nutrients.2022; 14(13): 2632.     CrossRef
  • Associations between Circulating SELENOP Level and Disorders of Glucose and Lipid Metabolism: A Meta-Analysis
    Ruirui Yu, Zhoutian Wang, Miaomiao Ma, Ping Xu, Longjian Liu, Alexey A. Tinkov, Xin Gen Lei, Ji-Chang Zhou
    Antioxidants.2022; 11(7): 1263.     CrossRef
  • Cross-Sectional Association of Blood Selenium with Glycemic Biomarkers among U.S. Adults with Normoglycemia in the National Health and Nutrition Examination Survey 2013–2016
    Jingli Yang, En Chen, Cheukling Choi, Kayue Chan, Qinghua Yang, Juwel Rana, Bo Yang, Chuiguo Huang, Aimin Yang, Kenneth Lo
    Nutrients.2022; 14(19): 3972.     CrossRef
  • Plasma and vitreous selenium concentrations in patients with type 2 diabetes and diabetic retinopathy
    Chunmiao Wang, Ruijin Ran, Xin Jin, Xiaohong Zhu
    Medicine.2022; 101(39): e30877.     CrossRef
  • Emerging roles of selenium on metabolism and type 2 diabetes
    Jiuxiang Zhao, Hong Zou, Yanling Huo, Xiaoyi Wei, Yu Li
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Selenium: Role in preserving and improving health and preventing disease
    Goran Belojević
    Galenika Medical Journal.2022; 1(4): 90.     CrossRef
  • A comprehensive review on the neuropathophysiology of selenium
    Mohammad Naderi, Pankaj Puar, Mahtab Zonouzi-Marand, Douglas P. Chivers, Som Niyogi, Raymond W.M. Kwong
    Science of The Total Environment.2021; 767: 144329.     CrossRef
  • Dietary selenium intake and risk of hospitalization for type 2 diabetes in the Moli-sani study cohort
    Marco Vinceti, Marialaura Bonaccio, Tommaso Filippini, Simona Costanzo, Lauren A. Wise, Augusto Di Castelnuovo, Emilia Ruggiero, Mariarosaria Persichillo, Chiara Cerletti, Maria Benedetta Donati, Giovanni de Gaetano, Licia Iacoviello
    Nutrition, Metabolism and Cardiovascular Diseases.2021; 31(6): 1738.     CrossRef
  • A systematic review and dose-response meta-analysis of exposure to environmental selenium and the risk of type 2 diabetes in nonexperimental studies
    Marco Vinceti, Tommaso Filippini, Lauren A. Wise, Kenneth J. Rothman
    Environmental Research.2021; 197: 111210.     CrossRef
  • Selenium as a Bioactive Micronutrient in the Human Diet and Its Cancer Chemopreventive Activity
    Dominika Radomska, Robert Czarnomysy, Dominik Radomski, Anna Bielawska, Krzysztof Bielawski
    Nutrients.2021; 13(5): 1649.     CrossRef
  • Selenium in Human Health and Gut Microflora: Bioavailability of Selenocompounds and Relationship With Diseases
    Rannapaula Lawrynhuk Urbano Ferreira, Karine Cavalcanti Maurício Sena-Evangelista, Eduardo Pereira de Azevedo, Francisco Irochima Pinheiro, Ricardo Ney Cobucci, Lucia Fatima Campos Pedrosa
    Frontiers in Nutrition.2021;[Epub]     CrossRef
  • Ferroptosis and Its Potential Role in Metabolic Diseases: A Curse or Revitalization?
    Jia-Yue Duan, Xiao Lin, Feng Xu, Su-Kang Shan, Bei Guo, Fu-Xing-Zi Li, Yi Wang, Ming-Hui Zheng, Qiu-Shuang Xu, Li-Min Lei, Wen-Lu Ou-Yang, Yun-Yun Wu, Ke-Xin Tang, Ling-Qing Yuan
    Frontiers in Cell and Developmental Biology.2021;[Epub]     CrossRef
  • Selenium Intake and Glycemic Control in Young Adults With Normal-Weight Obesity Syndrome
    Acsa de Castro Santos, Anna Flavia Ferreira Passos, Luciana Carla Holzbach, Cristiane Cominetti
    Frontiers in Nutrition.2021;[Epub]     CrossRef
  • Development and Therapeutic Potential of Selenazo Compounds
    Ana Carolina Ruberte, Carmen Sanmartin, Carlos Aydillo, Arun K. Sharma, Daniel Plano
    Journal of Medicinal Chemistry.2020; 63(4): 1473.     CrossRef
  • Selenium in thyroid disorders — essential knowledge for clinicians
    Kristian Hillert Winther, Margaret Philomena Rayman, Steen Joop Bonnema, Laszlo Hegedüs
    Nature Reviews Endocrinology.2020; 16(3): 165.     CrossRef
  • Safety of selenium‐enriched biomass of Yarrowia lipolytica as a novel food pursuant to Regulation (EU) 2015/2283
    Dominique Turck, Jacqueline Castenmiller, Stefaan De Henauw, Karen Ildico Hirsch‐Ernst, John Kearney, Alexandre Maciuk, Inge Mangelsdorf, Harry J McArdle, Androniki Naska, Carmen Pelaez, Kristina Pentieva, Alfonso Siani, Frank Thies, Sophia Tsabouri, Marc
    EFSA Journal.2020;[Epub]     CrossRef
  • The Association of Circulating Selenium Concentrations with Diabetes Mellitus


    Xiao-Long Liao, Zhong-Hua Wang, Xiu-Na Liang, Jun Liang, Xue-Biao Wei, Shou-Hong Wang, Wei-Xin Guo
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 4755.     CrossRef
  • A 2018 European Thyroid Association Survey on the Use of Selenium Supplementation in Hashimoto’s Thyroiditis
    Kristian Hillert Winther, Enrico Papini, Roberto Attanasio, Roberto Negro, Laszlo Hegedüs
    European Thyroid Journal.2020; 9(2): 99.     CrossRef
  • Systems Biology of Selenium and Complex Disease
    Huimin Ying, Yan Zhang
    Biological Trace Element Research.2019; 192(1): 38.     CrossRef
  • Effectiveness and safety of selenium supplementation for type 2 diabetes mellitus in adults: a systematic review of randomised controlled trials
    A. Stróżyk, Z. Osica, J. D. Przybylak, M. Kołodziej, B. M. Zalewski, B. Mrozikiewicz‐Rakowska, H. Szajewska
    Journal of Human Nutrition and Dietetics.2019; 32(5): 635.     CrossRef
  • Selenium and Health: An Update on the Situation in the Middle East and North Africa
    Sohayla A. Z. Ibrahim, Abdelhamid Kerkadi, Abdelali Agouni
    Nutrients.2019; 11(7): 1457.     CrossRef
Response: The Necessity of the Simple Tests for Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus Patients without Neuropathic Symptoms in Clinical Practice (Diabetes Metab J 2018;42:442–6)
Jung Hwan Park, Dong Sun Kim
Diabetes Metab J. 2018;42(6):546-547.   Published online December 17, 2018
DOI: https://doi.org/10.4093/dmj.2018.0248
  • 3,631 View
  • 33 Download
  • 1 Crossref
PDFPubReader   

Citations

Citations to this article as recorded by  
  • WITHDRAWN: Efficacy of High-frequency Ultrasound Image Information Diagnosis on Neurological-abnormality in Patients with Type-2-diabetes Combined with Peripheral- neuropathy
    Xiaoqiang Liu, Hongyan Zhou, Zhaoyun Wang, Xiaoli Liu, Xin Li, Chen Nie, Yang Li
    Neuroscience Letters.2020; : 135205.     CrossRef
Complications
The Necessity of the Simple Tests for Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus Patients without Neuropathic Symptoms in Clinical Practice
Jung Hwan Park, Dong Sun Kim
Diabetes Metab J. 2018;42(5):442-446.   Published online October 22, 2018
DOI: https://doi.org/10.4093/dmj.2017.0090
  • 4,342 View
  • 67 Download
  • 15 Web of Science
  • 13 Crossref
AbstractAbstract PDFPubReader   

Early recognition and appropriate management of diabetic peripheral polyneuropathy (DPNP) is important. We evaluated the necessity of simple, non-invasive tests for DPNP detection in clinical practice. We enrolled 136 randomly-chosen patients with type 2 diabetes mellitus and examined them with the 10-g Semmes-Weinstein monofilament examination, the 128-Hz tuning-fork, ankle-reflex, and pinprick tests; the Total Symptom Score and the 15-item self-administered questionnaire of the Michigan Neuropathy Screening Instrument. Among 136 patients, 48 had subjective neuropathic symptoms and 88 did not. The abnormal-response rates varied depending on the methods used according to the presence of subjective neuropathic symptoms (18.8% vs. 5.7%, P<0.05; 58.3% vs. 28.4%, P<0.005; 81.3% vs. 54.5%, P<0.005; 12.5% vs. 5.7%, P=0.195; 41.7% vs. 2.3%, P<0.001; and 77.1% vs. 9.1%, P<0.001; respectively). The largest abnormal response was derived by combining all methods. Moreover, these tests should be implemented more extensively in diabetic patients without neuropathic symptoms to detect DPNP early.

Citations

Citations to this article as recorded by  
  • A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument
    Fahmida Haque, Mamun B. I. Reaz, Muhammad E. H. Chowdhury, Mohd Ibrahim bin Shapiai, Rayaz A. Malik, Mohammed Alhatou, Syoji Kobashi, Iffat Ara, Sawal H. M. Ali, Ahmad A. A. Bakar, Mohammad Arif Sobhan Bhuiyan
    Diagnostics.2023; 13(2): 264.     CrossRef
  • Effect of Diabetic Neuropathy on Reparative Ability and Immune Response System
    Emina Karahmet Sher, Besim Prnjavorac, Esma Karahmet Farhat, Benjamin Palić, Sabah Ansar, Farooq Sher
    Molecular Biotechnology.2023;[Epub]     CrossRef
  • Novel therapeutical approaches based on neurobiological and genetic strategies for diabetic polyneuropathy – A review
    Emina Karahmet Sher, Amina Džidić-Krivić, Alma Karahmet, Merima Beća-Zećo, Esma Karahmet Farhat, Adaleta Softić, Farooq Sher
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(11): 102901.     CrossRef
  • SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy
    Tae Jung Oh, Yoojung Song, Hak Chul Jang, Sung Hee Choi
    Diabetes & Metabolism Journal.2022; 46(2): 319.     CrossRef
  • Detection of diabetic polyneuropathy in a family medicine clinic by using monofilament
    Biljana Lakic, Verica Petrovic, Maja Racic, Kosana Stanetic
    Vojnosanitetski pregled.2022; 79(4): 383.     CrossRef
  • Association between Sleep Quality and Painless Diabetic Peripheral Neuropathy Assessed by Current Perception Threshold in Type 2 Diabetes Mellitus
    Dughyun Choi, Bo-Yeon Kim, Chan-Hee Jung, Chul-Hee Kim, Ji-Oh Mok
    Diabetes & Metabolism Journal.2021; 45(3): 358.     CrossRef
  • Diabetic neuropathies
    Kamakshi Patel, Holli Horak, Ezgi Tiryaki
    Muscle & Nerve.2021; 63(1): 22.     CrossRef
  • Diabetic peripheral neuropathy
    Joyce K. Anastasi, Chloe Klug
    Nursing.2021; 51(4): 34.     CrossRef
  • A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations
    Fahmida Haque, Mamun Bin Ibne Reaz, Muhammad E.H. Chowdhury, Sawal Hamid Md Ali, Ahmad Ashrif A Bakar, Tawsifur Rahman, Syoji Kobashi, Chitra A. Dhawale, Mohammad Arif Sobhan Bhuiyan
    Computers in Biology and Medicine.2021; 139: 104954.     CrossRef
  • Diabetic Peripheral Neuropathy: Is it Underdiagnosed?
    Rizaldy T. Pinzon, M. Kes, Rosa De Lima R. Sa
    Asian Journal of Biological Sciences.2020; 13(2): 168.     CrossRef
  • Risk factors associated with the progression of overactive bladder among patients with type 2 diabetes
    Yiyi Zhu, Zaisheng Zhu, Jiajun Chen
    International Journal of Clinical Practice.2019;[Epub]     CrossRef
  • Response: The Necessity of the Simple Tests for Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus Patients without Neuropathic Symptoms in Clinical Practice (Diabetes Metab J 2018;42:442–6)
    Jung Hwan Park, Dong Sun Kim
    Diabetes & Metabolism Journal.2018; 42(6): 546.     CrossRef
  • Letter: The Necessity of the Simple Tests for Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus Patients without Neuropathic Symptoms in Clinical Practice (Diabetes Metab J 2018;42:442-6)
    Jun Hwa Hong
    Diabetes & Metabolism Journal.2018; 42(6): 544.     CrossRef

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