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Yun Jeong Lee  (Lee YJ) 3 Articles
Pathophysiology
Glutamic Acid Decarboxylase and Tyrosine Phosphatase-Related Islet Antigen-2 Positivity among Children and Adolescents with Diabetes in Korea
Ka Young Kim, Min Seung Kim, Yun Jeong Lee, Young Ah Lee, Seong Yong Lee, Choong Ho Shin, Jae Hyun Kim
Diabetes Metab J. 2022;46(6):948-952.   Published online March 8, 2022
DOI: https://doi.org/10.4093/dmj.2021.0332
  • 5,318 View
  • 202 Download
  • 3 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Autoantibodies against glutamic acid decarboxylase (GADA), tyrosine phosphatase-related islet antigen 2 (IA2A), insulin (INSA), and islet cells (ICA) are critical for determining the type of diabetes and management strategy in new-onset diabetes mellitus (NODM), but there have been few reports of all diabetes-associated autoantibody (DAA) in Korea. We retrospectively analyzed 193 patients with NODM aged 0 to 18 years who were followed at two tertiary centers in Korea (2017 to 2021). Patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) were 93 (48.2%) and 100 (51.8%), respectively. In T1DM patients, the DAA positivity rate was 94.6%; prevalence of GADA, IA2A, INSA, and ICA was 71.0%, 71.0%, 31.2%, and 10.8%, respectively; and IA2A added 10.7% point autoantibody positivity (83.9% for GADA+INSA+ICA and 94.6% for GADA+INSA+ICA+IA2A). Among the patients with T2DM, 12 (12.0%) were positive for DAA, and all were positive for INSA. These findings suggest that DAA at diagnosis, especially GADA and IA2A, is useful for classifying diabetes in Korean children and adolescents.

Citations

Citations to this article as recorded by  
  • Immune-Checkpoint Inhibitors-Induced Type 1 Diabetes Mellitus: From Its Molecular Mechanisms to Clinical Practice
    Yun Kyung Cho, Chang Hee Jung
    Diabetes & Metabolism Journal.2023; 47(6): 757.     CrossRef
  • Diagnostic and Therapeutic Strategies of Type 2 Diabetes Mellitus in Youth
    Hwa Young Kim, Jae Hyun Kim
    The Ewha Medical Journal.2022;[Epub]     CrossRef
Factors Associated for Mild Cognitive Impairment in Older Korean Adults with Type 2 Diabetes Mellitus
Yun Jeong Lee, Hye Mi Kang, Na Kyung Kim, Ju Yeon Yang, Jung Hyun Noh, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
Diabetes Metab J. 2014;38(2):150-157.   Published online April 18, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.2.150
  • 4,567 View
  • 37 Download
  • 22 Web of Science
  • 25 Crossref
AbstractAbstract PDFPubReader   
Background

The aim of this study was to identify factors associated with mild cognitive impairment (MCI) in older Korean adults with type 2 diabetes mellitus.

Methods

A total of 226 older (age ≥65 years) adults without a history of cerebrovascular disease or dementia participated in this study. Cognitive function was assessed with the Montreal Cognitive Assessment-Korean version (MoCA-K). A MoCA-K score <23 was defined as MCI.

Results

The prevalence of MCI was 32.7%. In a logistic regression analysis, age (≥74 years old vs. 65-68 years old; odds ratio [OR], 3.69; 95% confidence interval [CI], 1.55 to 8.82; P=0.003), educational background (college graduation vs. no school or elementary school graduation; OR, 0.16; 95% CI, 0.05 to 0.46; P=0.001), and systolic blood pressure (≥135 mm Hg vs. ≤120 mm Hg; OR, 3.25; 95% CI, 1.29 to 8.17; P=0.012) were associated with MCI.

Conclusion

More concentrated efforts focused on early detection and appropriate management of MCI may be required in older Korean adults with type 2 diabetes mellitus.

Citations

Citations to this article as recorded by  
  • Prediction model for mild cognitive impairment in patients with type 2 diabetes using the autonomic function test
    Heeyoung Kang, Juhyeon Kim, Minkyeong Kim, Jin Hyun Kim, Gu Seob Roh, Soo Kyoung Kim
    Neurological Sciences.2024; 45(8): 3757.     CrossRef
  • Association between low cognitive performance and diabetes‐related health indicators across racial and ethnic groups in adults with diabetes
    Piaopiao Li, Khalid Alkhuzam, Joshua Brown, Yichen Zhang, Tianze Jiao, Jingchuan Guo, Guillermo E. Umpierrez, K. M. Venkat Narayan, Ambar Kulshreshtha, Francisco J. Pasquel, Mohammed K. Ali, Hui Shao
    Diabetes, Obesity and Metabolism.2024; 26(9): 3723.     CrossRef
  • Exploration of the Potential and Mechanisms of Diabetic Cognitive Disorder Modulation by Daehwangmokdanpi-tang through a Network Pharmacological Approach
    Yebin Lim, Bitna Kweon, Dong-Uk Kim, Do-Eun Lee, Jungtae Leem, Dong-Gu Kim, Hyung Won Kang, Gi-Sang Bae
    Journal of Korean Medicine.2024; 45(2): 23.     CrossRef
  • Cognitive screening among older adults with diabetes across diverse clinic settings
    Deepashree Gupta, Holly Wilhalme, Gabriela Sauder, Tannaz Moin
    Diabetes Research and Clinical Practice.2023; 196: 110184.     CrossRef
  • Occurrence of mild cognitive impairment with hyperinsulinaemia in Africans with advanced type 2 diabetes mellitus
    J. Bashir, I.U. Yarube
    IBRO Neuroscience Reports.2022; 12: 182.     CrossRef
  • Risk factors for cognitive decline in type 2 diabetes mellitus patients in Brazil: a prospective observational study
    Ana Cristina Ravazzani de Almeida Faria, Joceline Franco Dall’Agnol, Aline Maciel Gouveia, Clara Inácio de Paiva, Victoria Chechetto Segalla, Cristina Pellegrino Baena
    Diabetology & Metabolic Syndrome.2022;[Epub]     CrossRef
  • The TELE-DD project on treatment nonadherence in the population with type 2 diabetes and comorbid depression
    Juan Francisco Roy, María Luisa Lozano del Hoyo, Fernando Urcola-Pardo, Alicia Monreal-Bartolomé, Diana Cecilia Gracia Ruiz, María Mercedes Gómez Borao, Ana Belén Artigas Alcázar, José Pedro Martínez Casbas, Alexandra Aceituno Casas, María Teresa Andaluz
    Scientific Reports.2021;[Epub]     CrossRef
  • Potential roles of Glucagon-like peptide-1 and its analogues in cognitive impairment associated with type 2 diabetes mellitus
    Zi-Wei Yu, Rong Liu, Xin Li, Ying Wang, Yu-Hong Fu, Hui-Yao Li, Yue Yuan, Xin-Yuan Gao
    Mechanisms of Ageing and Development.2020; 190: 111294.     CrossRef
  • Predictors of Quality of Life among Older People with Mild Cognitive Impairment Attending Urban Primary Care Clinics
    Alexander Lourdes Samy, Shahrul Bahyah Kamaruzzaman, Saroja Krishnaswamy, Wah-Yun Low
    Clinical Gerontologist.2020; 43(4): 441.     CrossRef
  • Influence of the Mediterranean and Ketogenic Diets on Cognitive Status and Decline: A Narrative Review
    Federica Vinciguerra, Marco Graziano, Maria Hagnäs, Lucia Frittitta, Andrea Tumminia
    Nutrients.2020; 12(4): 1019.     CrossRef
  • ASSOCIATION BETWEEN CHANGES IN THE PSYCHOLOGICAL STATUS AND METABOLIC DISORDERS IN WOMEN WITH ARTERIAL HYPERTENSION, OBESITY AND LEFT VENTRICULAR DIASTOLIC DYSFUNCTION
    N. M. Kyrychenko
    Bulletin of Problems Biology and Medicine.2020; 4(2): 102.     CrossRef
  • Insulin resistance is a risk factor for mild cognitive impairment in elderly adults with T2DM
    Hongjun Zhao, Chenglong Wu, Xiaoping Zhang, Liping Wang, Jianhong Sun, Fuyuan Zhuge
    Open Life Sciences.2019; 14(1): 255.     CrossRef
  • Oral diabetes medication and risk of dementia in elderly patients with type 2 diabetes
    Ju Young Kim, Young Sook Ku, Hyun Jeong Kim, Nga Thi Trinh, Woorim Kim, Bomi Jeong, Tae Young Heo, Myung Koo Lee, Kyung Eun Lee
    Diabetes Research and Clinical Practice.2019; 154: 116.     CrossRef
  • Biomarkers for cognitive decline in patients with diabetes mellitus: evidence from clinical studies
    Xue Zhao, Qing Han, You Lv, Lin Sun, Xiaokun Gang, Guixia Wang
    Oncotarget.2018; 9(7): 7710.     CrossRef
  • Low education and lack of spousal relationship are associated with dementia in older adults with diabetes mellitus in Nigeria
    Abdulkareem J. Yusuf, Olusegun Baiyewu, Adamu G. Bakari, Sani B. Garko, Mohammed E.‐B. Jibril, Aishatu M. Suleiman, Haruna M. Muktar, Micheal A. Amedu
    Psychogeriatrics.2018; 18(3): 216.     CrossRef
  • Prevalence and risk factors of cognitive dysfunction in patients with type 2 diabetes mellitus receiving care in a reference hospital in Cameroon: a cross-sectional study
    Zainab I. Abba, Yannick Mboue-Djieka, Yacouba N. Mapoure, Cyrille Nkouonlack, Henry N. Luma, Simeon-Pierre Choukem
    International Journal of Diabetes in Developing Countries.2018; 38(2): 158.     CrossRef
  • Cognitive impairment among type 2 diabetes mellitus patients at Jimma University Specialized Hospital, Southwest Ethiopia
    Dagnew Baye, Desalegn Wolide Amare, Mossie Andualem
    Journal of Public Health and Epidemiology.2017; 9(11): 300.     CrossRef
  • Association of metabolic syndrome and 25‐hydroxyvitamin D with cognitive impairment among elderly Koreans
    Eun Young Lee, Su Jin Lee, Kyoung Min Kim, Young Mi Yun, Bo Mi Song, Jong Eun Kim, Hyeon Chang Kim, Yumie Rhee, Yoosik Youm, Chang Oh Kim
    Geriatrics & Gerontology International.2017; 17(7): 1069.     CrossRef
  • Serum uric acid and impaired cognitive function in community-dwelling elderly in Beijing
    Shuangling Xiu, Zheng Zheng, Shaochen Guan, Jin Zhang, Jinghong Ma, Piu Chan
    Neuroscience Letters.2017; 637: 182.     CrossRef
  • Assessment of relationship on excess arsenic intake from drinking water and cognitive impairment in adults and elders in arsenicosis areas
    Jiayong Liu, Yanhui Gao, Hongxu Liu, Jing Sun, Yang Liu, Junhua Wu, Dandan Li, Dianjun Sun
    International Journal of Hygiene and Environmental Health.2017; 220(2): 424.     CrossRef
  • An Update on Type 2 Diabetes Mellitus as a Risk Factor for Dementia
    Wei Li, Edgar Huang
    Journal of Alzheimer's Disease.2016; 53(2): 393.     CrossRef
  • Current status of managing diabetes mellitus in Korea
    Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
  • Type 2 diabetes mellitus is associated with brain atrophy and hypometabolism in the ADNI cohort
    Wei Li, Shannon L. Risacher, Edgar Huang, Andrew J. Saykin
    Neurology.2016; 87(6): 595.     CrossRef
  • Cardiovascular risk factors and cognitive decline in older people with type 2 diabetes
    Insa Feinkohl, Markéta Keller, Christine M. Robertson, Joanne R. Morling, Stela McLachlan, Brian M. Frier, Ian J. Deary, Mark W. J. Strachan, Jackie F. Price
    Diabetologia.2015; 58(7): 1637.     CrossRef
  • Association between obesity and depression in patients with diabetes mellitus type 2; a study protocol
    Eduardo De la Cruz-Cano, Carlos Alfonso Tovilla-Zarate, Emilio Reyes-Ramos, Thelma Beatriz Gonzalez-Castro, Isela Juarez-Castro, Maria Lilia López-Narváez, Ana Fresan
    F1000Research.2015; 4: 7.     CrossRef
The Association of Self-Reported Coronary Heart Disease with Diabetes Duration in Korea
Hye Mi Kang, Yun Jeong Lee, Dong-Jun Kim
Diabetes Metab J. 2012;36(5):350-356.   Published online October 18, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.5.350
  • 3,578 View
  • 25 Download
  • 3 Crossref
AbstractAbstract PDFPubReader   
Background

This study aimed to investigate the association of diabetes duration with self-reported coronary heart disease (CHD) in Korea.

Methods

Among data from 34,145 persons compiled in the third Korean National Health and Nutrition Examination Survey in 2005, laboratory test and nutritional survey data from 5,531 persons were examined. The participants were asked to recall a physician's diagnosis of CHD (angina or myocardial infarction).

Results

Age- and sex-adjusted relative risk for CHD was 1.51 (95% confidence interval [CI], 0.64 to 3.59; not significant) for diabetes with duration of <1 year, 2.27 (95% CI, 1.14 to 4.54; P=0.020) for diabetes with a duration of 1 to 5 years, and 3.29 (95% CI, 1.78 to 6.08; P<0.001) for diabetes with a duration >5 years, compared with non-diabetes as a control. Even after adjusting for age, sex, current smoking status, waist circumference, hypertension, triglycerides, high density lipoprotein cholesterol, and fasting plasma glucose, relative risk for CHD was 2.87 (95% CI, 1.01 to 8.11; P=0.047) in diabetes with a duration of 6 to 10 years and 4.07 (95% CI, 1.73 to 9.63; P=0.001) in diabetes with duration of >10 years with non-diabetes as a control.

Conclusion

CHD prevalence increased with an increase in diabetes duration in Korean men and women. Recently detected diabetes (duration <1 year) was not significantly associated with CHD prevalence compared to non-diabetes. However, diabetes of a duration of >5 years was associated with an increase in CHD compared to non-diabetics after adjusting for several CHD risk factors.

Citations

Citations to this article as recorded by  
  • Predictive nomogram for coronary heart disease in patients with type 2 diabetes mellitus
    Shucai Xiao, Youzheng Dong, Bin Huang, Xinghua Jiang
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
  • Elevated lipoprotein(a) levels predict cardiovascular disease in type 2 diabetes mellitus: a 10-year prospective cohort study
    Tae-Seok Lim, Jae-Seung Yun, Seon-Ah Cha, Ki-Ho Song, Ki-Dong Yoo, Yu-Bae Ahn, Yong-Moon Park, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2016; 31(6): 1110.     CrossRef
  • Clinical Marker of Platelet Hyperreactivity in Diabetes Mellitus
    Jin Hwa Kim, Hak Yeon Bae, Sang Yong Kim
    Diabetes & Metabolism Journal.2013; 37(6): 423.     CrossRef

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