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Original Article
Metabolic Risk/Epidemiology
Construction of Risk Prediction Model of Type 2 Diabetic Kidney Disease Based on Deep Learning
Chuan Yun, Fangli Tang, Zhenxiu Gao, Wenjun Wang, Fang Bai, Joshua D. Miller, Huanhuan Liu, Yaujiunn Lee, Qingqing Lou
Received February 3, 2023  Accepted May 27, 2023  Published online April 30, 2024  
DOI: https://doi.org/10.4093/dmj.2023.0033    [Epub ahead of print]
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  • 41 Download
AbstractAbstract PDFPubReader   ePub   
Background
This study aimed to develop a diabetic kidney disease (DKD) prediction model using long short term memory (LSTM) neural network and evaluate its performance using accuracy, precision, recall, and area under the curve (AUC) of the receiver operating characteristic (ROC) curve.
Methods
The study identified DKD risk factors through literature review and physician focus group, and collected 7 years of data from 6,040 type 2 diabetes mellitus patients based on the risk factors. Pytorch was used to build the LSTM neural network, with 70% of the data used for training and the other 30% for testing. Three models were established to examine the impact of glycosylated hemoglobin (HbA1c), systolic blood pressure (SBP), and pulse pressure (PP) variabilities on the model’s performance.
Results
The developed model achieved an accuracy of 83% and an AUC of 0.83. When the risk factor of HbA1c variability, SBP variability, or PP variability was removed one by one, the accuracy of each model was significantly lower than that of the optimal model, with an accuracy of 78% (P<0.001), 79% (P<0.001), and 81% (P<0.001), respectively. The AUC of ROC was also significantly lower for each model, with values of 0.72 (P<0.001), 0.75 (P<0.001), and 0.77 (P<0.05).
Conclusion
The developed DKD risk predictive model using LSTM neural networks demonstrated high accuracy and AUC value. When HbA1c, SBP, and PP variabilities were added to the model as featured characteristics, the model’s performance was greatly improved.
Review
Others
Article image
Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus
Ying-Guat Ooi, Tharsini Sarvanandan, Nicholas Ken Yoong Hee, Quan-Hziung Lim, Sharmila S. Paramasivam, Jeyakantha Ratnasingam, Shireene R. Vethakkan, Soo-Kun Lim, Lee-Ling Lim
Diabetes Metab J. 2024;48(2):196-207.   Published online January 26, 2024
DOI: https://doi.org/10.4093/dmj.2023.0244
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  • 439 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
People with type 2 diabetes mellitus have increased risk of chronic kidney disease and atherosclerotic cardiovascular disease. Improved care delivery and implementation of guideline-directed medical therapy have contributed to the declining incidence of atherosclerotic cardiovascular disease in high-income countries. By contrast, the global incidence of chronic kidney disease and associated mortality is either plateaued or increased, leading to escalating direct and indirect medical costs. Given limited resources, better risk stratification approaches to identify people at risk of rapid progression to end-stage kidney disease can reduce therapeutic inertia, facilitate timely interventions and identify the need for early nephrologist referral. Among people with chronic kidney disease G3a and beyond, the kidney failure risk equations (KFRE) have been externally validated and outperformed other risk prediction models. The KFRE can also guide the timing of preparation for kidney replacement therapy with improved healthcare resources planning and may prevent multiple complications and premature mortality among people with chronic kidney disease with and without type 2 diabetes mellitus. The present review summarizes the evidence of KFRE to date and call for future research to validate and evaluate its impact on cardiovascular and mortality outcomes, as well as healthcare resource utilization in multiethnic populations and different healthcare settings.
Original Articles
Basic Research
Article image
Extracellular Vimentin Alters Energy Metabolism And Induces Adipocyte Hypertrophy
Ji-Hae Park, Soyeon Kwon, Young Mi Park
Diabetes Metab J. 2024;48(2):215-230.   Published online September 26, 2023
DOI: https://doi.org/10.4093/dmj.2022.0332
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  • 260 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Previous studies have reported that oxidative stress contributes to obesity characterized by adipocyte hypertrophy. However, mechanism has not been studied extensively. In the current study, we evaluated role of extracellular vimentin secreted by oxidized low-density lipoprotein (oxLDL) in energy metabolism in adipocytes.
Methods
We treated 3T3-L1-derived adipocytes with oxLDL and measured vimentin which was secreted in the media. We evaluated changes in uptake of glucose and free fatty acid, expression of molecules functioning in energy metabolism, synthesis of adenosine triphosphate (ATP) and lactate, markers for endoplasmic reticulum (ER) stress and autophagy in adipocytes treated with recombinant vimentin.
Results
Adipocytes secreted vimentin in response to oxLDL. Microscopic evaluation revealed that vimentin treatment induced increase in adipocyte size and increase in sizes of intracellular lipid droplets with increased intracellular triglyceride. Adipocytes treated with vimentin showed increased uptake of glucose and free fatty acid with increased expression of plasma membrane glucose transporter type 1 (GLUT1), GLUT4, and CD36. Vimentin treatment increased transcription of GLUT1 and hypoxia-inducible factor 1α (Hif-1α) but decreased GLUT4 transcription. Adipose triglyceride lipase (ATGL), peroxisome proliferator-activated receptor γ (PPARγ), sterol regulatory element-binding protein 1 (SREBP1), diacylglycerol O-acyltransferase 1 (DGAT1) and 2 were decreased by vimentin treatment. Markers for ER stress were increased and autophagy was impaired in vimentin-treated adipocytes. No change was observed in synthesis of ATP and lactate in the adipocytes treated with vimentin.
Conclusion
We concluded that extracellular vimentin regulates expression of molecules in energy metabolism and promotes adipocyte hypertrophy. Our results show that vimentin functions in the interplay between oxidative stress and metabolism, suggesting a mechanism by which adipocyte hypertrophy is induced in oxidative stress.
Guideline/Fact Sheet
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Dyslipidemia Fact Sheet in South Korea, 2022
Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong, on Behalf of the Committee of Public Relation of the Korean Society of Lipid and Atherosclerosis
Diabetes Metab J. 2023;47(5):632-642.   Published online August 2, 2023
DOI: https://doi.org/10.4093/dmj.2023.0135
  • 3,875 View
  • 366 Download
  • 6 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to investigate the prevalence and status of dyslipidemia management among South Korean adults, as performed by the Korean Society of Lipid and Atherosclerosis under the name Dyslipidemia Fact Sheet 2022.
Methods
We analyzed the lipid profiles, age-standardized and crude prevalence, management status of hypercholesterolemia and dyslipidemia, and health behaviors among Korean adults aged ≥20 years, using the Korea National Health and Nutrition Examination Survey data between 2007 and 2020.
Results
In South Korea, the crude prevalence of hypercholesterolemia (total cholesterol ≥240 mg/dL or use of a lipid-lowering drug) in 2020 was 24%, and the age-standardized prevalence of hypercholesterolemia more than doubled from 2007 to 2020. The crude treatment rate was 55.2%, and the control rate was 47.7%. The crude prevalence of dyslipidemia—more than one out of three conditions (low-density lipoprotein cholesterol ≥160 or the use of a lipid-lowering drug, triglycerides ≥200, or high-density lipoprotein cholesterol [HDL-C] [men and women] <40 mg/dL)—was 40.2% between 2016 and 2020. However, it increased to 48.2% when the definition of hypo-HDL-cholesterolemia in women changed from <40 to <50 mg/dL.
Conclusion
Although the prevalence of hypercholesterolemia and dyslipidemia has steadily increased in South Korea, the treatment rate remains low. Therefore, continuous efforts are needed to manage dyslipidemia through cooperation between the national healthcare system, patients, and healthcare providers.

Citations

Citations to this article as recorded by  
  • Oxidative Balance Score and New-Onset Type 2 Diabetes Mellitus in Korean Adults without Non-Alcoholic Fatty Liver Disease: Korean Genome and Epidemiology Study-Health Examinees (KoGES-HEXA) Cohort
    Mid-Eum Moon, Dong Hyuk Jung, Seok-Jae Heo, Byoungjin Park, Yong Jae Lee
    Antioxidants.2024; 13(1): 107.     CrossRef
  • Comparison of metabolic and neurological comorbidities in Asian patients with psoriasis and atopic dermatitis
    Hee Joo Yang, Mi Young Lee, Jeong Hyeon Lee, Chang Jin Jung, Woo Jin Lee, Chong Hyun Won, Mi Woo Lee, Joon Min Jung, Sung Eun Chang
    Scientific Reports.2024;[Epub]     CrossRef
  • Effect of Adding Apolipoprotein B Testing on the Prevalence of Dyslipidemia and Risk of Cardiovascular Disease in the Korean Adult Population
    Rihwa Choi, Sang Gon Lee, Eun Hee Lee
    Metabolites.2024; 14(3): 169.     CrossRef
  • Body Weight Variability and Risk of Suicide Mortality: A Nationwide Population-Based Study
    Jeongmin Lee, Jin-Hyung Jung, Dong Woo Kang, Min-Hee Kim, Dong-Jun Lim, Hyuk-Sang Kwon, Jung Min Lee, Sang-Ah Chang, Kyungdo Han, Seung-Hwan Lee, Fuquan Zhang
    Depression and Anxiety.2024; 2024: 1.     CrossRef
  • Association of atherosclerosis indices, serum uric acid to high‐density lipoprotein cholesterol ratio and triglycerides‐glucose index with hypertension: A gender‐disaggregated analysis
    Rana Kolahi Ahari, Toktam Sahranavard, Amin Mansoori, Zahra Fallahi, Negin Babaeepoor, Gordon Ferns, Majid Ghayour‐Mobarhan
    The Journal of Clinical Hypertension.2024; 26(6): 645.     CrossRef
  • Exploring Utilization and Establishing Reference Intervals for the Apolipoprotein B Test in the Korean Population
    Rihwa Choi, Sang Gon Lee, Eun Hee Lee
    Diagnostics.2023; 13(20): 3194.     CrossRef
Basic Research
Article image
Long Non-Coding RNA TUG1 Attenuates Insulin Resistance in Mice with Gestational Diabetes Mellitus via Regulation of the MicroRNA-328-3p/SREBP-2/ERK Axis
Xuwen Tang, Qingxin Qin, Wenjing Xu, Xuezhen Zhang
Diabetes Metab J. 2023;47(2):267-286.   Published online January 19, 2023
DOI: https://doi.org/10.4093/dmj.2021.0216
  • 3,305 View
  • 194 Download
  • 6 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Long non-coding RNAs (lncRNAs) have been illustrated to contribute to the development of gestational diabetes mellitus (GDM). In the present study, we aimed to elucidate how lncRNA taurine upregulated gene 1 (TUG1) influences insulin resistance (IR) in a high-fat diet (HFD)-induced mouse model of GDM.
Methods
We initially developed a mouse model of HFD-induced GDM, from which islet tissues were collected for RNA and protein extraction. Interactions among lncRNA TUG1/microRNA (miR)-328-3p/sterol regulatory element binding protein 2 (SREBP-2) were assessed by dual-luciferase reporter assay. Fasting blood glucose (FBG), fasting insulin (FINS), homeostasis model assessment of insulin resistance (HOMA-IR), HOMA pancreatic β-cell function (HOMA-β), insulin sensitivity index for oral glucose tolerance tests (ISOGTT) and insulinogenic index (IGI) levels in mouse serum were measured through conducting gain- and loss-of-function experiments.
Results
Abundant expression of miR-328 and deficient expression of lncRNA TUG1 and SREBP-2 were characterized in the islet tissues of mice with HFD-induced GDM. LncRNA TUG1 competitively bound to miR-328-3p, which specifically targeted SREBP-2. Either depletion of miR-328-3p or restoration of lncRNA TUG1 and SREBP-2 reduced the FBG, FINS, HOMA-β, and HOMA-IR levels while increasing ISOGTT and IGI levels, promoting the expression of the extracellular signal-regulated kinase (ERK) signaling pathway-related genes, and inhibiting apoptosis of islet cells in GDM mice. Upregulation miR-328-3p reversed the alleviative effects of SREBP-2 and lncRNA TUG1 on IR.
Conclusion
Our study provides evidence that the lncRNA TUG1 may prevent IR following GDM through competitively binding to miR-328-3p and promoting the SREBP-2-mediated ERK signaling pathway inactivation.

Citations

Citations to this article as recorded by  
  • Diabetes and diabetic associative diseases: An overview of epigenetic regulations of TUG1
    Mohammed Ageeli Hakami
    Saudi Journal of Biological Sciences.2024; 31(5): 103976.     CrossRef
  • Effect of Tinospora cordifolia on gestational diabetes mellitus and its complications
    Ritu Rani, Havagiray Chitme, Avinash Kumar Sharma
    Women & Health.2023; 63(5): 359.     CrossRef
  • Therapeutic Effect of Tinospora cordifolia (Willd) Extracts on Letrozole-Induced Polycystic Ovarian Syndrome and its Complications in Murine Model
    Ritu Rani, Avinash Kumar Sharma, Havagiray R Chitme
    Clinical Medicine Insights: Endocrinology and Diabetes.2023;[Epub]     CrossRef
  • The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes
    Dong Gao, Liping Ren, Yu-Duo Hao, Nalini Schaduangrat, Xiao-Wei Liu, Shi-Shi Yuan, Yu-He Yang, Yan Wang, Watshara Shoombuatong, Hui Ding
    Briefings in Bioinformatics.2023;[Epub]     CrossRef
  • lncRNA TUG1 as Potential Novel Biomarker for Prognosis of Cardiovascular Diseases
    Habib Haybar, Narjes Sadat Sadati, Daryush Purrahman, Mohammad Reza Mahmoudian-Sani, Najmaldin Saki
    Epigenomics.2023; 15(23): 1273.     CrossRef
Review
Basic Research
Article image
Heterogeneity of Islet Cells during Embryogenesis and Differentiation
Shugo Sasaki, Takeshi Miyatsuka
Diabetes Metab J. 2023;47(2):173-184.   Published online January 12, 2023
DOI: https://doi.org/10.4093/dmj.2022.0324
  • 4,085 View
  • 253 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFPubReader   ePub   
Diabetes is caused by insufficient insulin secretion due to β-cell dysfunction and/or β-cell loss. Therefore, the restoration of functional β-cells by the induction of β-cell differentiation from embryonic stem (ES) and induced-pluripotent stem (iPS) cells, or from somatic non-β-cells, may be a promising curative therapy. To establish an efficient and feasible method for generating functional insulin-producing cells, comprehensive knowledge of pancreas development and β-cell differentiation, including the mechanisms driving cell fate decisions and endocrine cell maturation is crucial. Recent advances in single-cell RNA sequencing (scRNA-seq) technologies have opened a new era in pancreas development and diabetes research, leading to clarification of the detailed transcriptomes of individual insulin-producing cells. Such extensive high-resolution data enables the inference of developmental trajectories during cell transitions and gene regulatory networks. Additionally, advancements in stem cell research have not only enabled their immediate clinical application, but also has made it possible to observe the genetic dynamics of human cell development and maturation in a dish. In this review, we provide an overview of the heterogeneity of islet cells during embryogenesis and differentiation as demonstrated by scRNA-seq studies on the developing and adult pancreata, with implications for the future application of regenerative medicine for diabetes.

Citations

Citations to this article as recorded by  
  • Newly discovered knowledge pertaining to glucagon and its clinical applications
    Dan Kawamori, Shugo Sasaki
    Journal of Diabetes Investigation.2023; 14(7): 829.     CrossRef
Original Articles
Guideline/Fact Sheet
Article image
Diabetes Fact Sheet in Korea 2021
Jae Hyun Bae, Kyung-Do Han, Seung-Hyun Ko, Ye Seul Yang, Jong Han Choi, Kyung Mook Choi, Hyuk-Sang Kwon, Kyu Chang Won, on Behalf of the Committee of Media-Public Relation of the Korean Diabetes Association
Diabetes Metab J. 2022;46(3):417-426.   Published online May 25, 2022
DOI: https://doi.org/10.4093/dmj.2022.0106
  • 15,320 View
  • 1,744 Download
  • 85 Web of Science
  • 105 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to investigate the prevalence and management of diabetes mellitus, risk-factor control, and comorbidities among Korean adults.
Methods
We conducted a cross-sectional analysis of data from the Korea National Health and Nutrition Examination Survey to assess the prevalence, treatment, risk factors, comorbidities, and self-management behaviors of diabetes mellitus from 2019 to 2020. We also analyzed data from the Korean National Health Insurance Service to evaluate the use of antidiabetic medications in people with diabetes mellitus from 2002 through 2018.
Results
Among Korean adults aged 30 years or older, the estimated prevalence of diabetes mellitus was 16.7% in 2020. From 2019 through 2020, 65.8% of adults with diabetes mellitus were aware of the disease and treated with antidiabetic medications. The percentage of adults with diabetes mellitus who achieved glycosylated hemoglobin (HbA1c) <6.5% was 24.5% despite the increased use of new antidiabetic medications. We found that adults with diabetes mellitus who achieved all three goals of HbA1c <6.5%, blood pressure (BP) <140/85 mm Hg, and low-density lipoprotein cholesterol <100 mg/dL were 9.7%. The percentage of self-management behaviors was lower in men than women. Excess energy intake was observed in 16.7% of adults with diabetes mellitus.
Conclusion
The prevalence of diabetes mellitus among Korean adults remained high. Only 9.7% of adults with diabetes mellitus achieved all glycemic, BP, and lipid controls from 2019 to 2020. Continuous evaluation of national diabetes statistics and a national effort to increase awareness of diabetes mellitus and improve comprehensive diabetes care are needed.

Citations

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    Yeong Jun Ju, Woorim Kim, Kyujin Chang, Tae Hoon Lee, Soon Young Lee
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  • Association between underweight and risk of heart failure in diabetes patients
    Tae Kyung Yoo, Kyung‐Do Han, Eun‐Jung Rhee, Won‐Young Lee
    Journal of Cachexia, Sarcopenia and Muscle.2024; 15(2): 671.     CrossRef
  • Gastroparesis might not be uncommon in patients with diabetes mellitus in a real-world clinical setting: a cohort study
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    Byung-Wan Lee, Young Min Cho, Sin Gon Kim, Seung-Hyun Ko, Soo Lim, Amine Dahaoui, Jin Sook Jeong, Hyo Jin Lim, Jae Myung Yu
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  • Association between dietary selenium intake and severe abdominal aortic calcification in the United States: a cross-sectional study
    Weiwei Dong, Xiaobai Liu, Lu Ma, Zhiyong Yang, Chunyan Ma
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    Min-Kyung Lee, Kyungdo Han, Bongsung Kim, Jong-Dai Kim, Moon Jung Kim, Byungpyo Kim, Jung Heo, Jiyeon Ahn, Seo-Young Sohn, Jae-Hyuk Lee
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  • Fasting GLP-1 Levels and Albuminuria Are Negatively Associated in Patients with Type 2 Diabetes Mellitus
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    Jin-Ah Seok, Yeon-Kyung Lee
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    Jin Hwa Kim
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    Nam Hoon Kim, Jun Sung Moon, Yong‐ho Lee, Ho Chan Cho, Soo Heon Kwak, Soo Lim, Min Kyong Moon, Dong‐Lim Kim, Tae Ho Kim, Eunvin Ko, Juneyoung Lee, Sin Gon Kim
    Diabetes, Obesity and Metabolism.2024;[Epub]     CrossRef
  • Baseline glycated albumin level and risk of type 2 diabetes mellitus in Healthy individuals: a retrospective longitudinal observation in Korea
    Kang-Su Shin, Min-Seung Park, Mi Yeon Lee, Eun Hye Cho, Hee-Yeon Woo, Hyosoon Park, Min-Jung Kwon
    Scandinavian Journal of Clinical and Laboratory Investigation.2024; 84(3): 168.     CrossRef
  • The Potential Role of Presepsin in Predicting Severe Infection in Patients with Diabetic Foot Ulcers
    Eun Yeong Ha, Il Rae Park, Seung Min Chung, Young Nam Roh, Chul Hyun Park, Tae-Gon Kim, Woong Kim, Jun Sung Moon
    Journal of Clinical Medicine.2024; 13(8): 2311.     CrossRef
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    Incheol Seo, Jin-Mo Park
    Neurological Sciences.2024;[Epub]     CrossRef
  • Cardiorenal outcomes and mortality after sodium‐glucose cotransporter‐2 inhibitor initiation in type 2 diabetes patients with percutaneous coronary intervention history
    Jin Hwa Kim, Young Sang Lyu, BongSeong Kim, Mee Kyung Kim, Sang Yong Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
    Diabetes, Obesity and Metabolism.2024; 26(7): 2567.     CrossRef
  • Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus
    Kyuho Kim, Jae-Seung Yun, Joonyub Lee, Yeoree Yang, Minhan Lee, Yu-Bae Ahn, Jae Hyoung Cho, Seung-Hyun Ko
    Endocrinology and Metabolism.2024; 39(2): 344.     CrossRef
  • Impact of electronic cigarette use on the increased risk of diabetes: the Korean Community Health Survey
    Wonseok Jeong, Seungju Kim
    Epidemiology and Health.2024; : e2024029.     CrossRef
  • Evolution and global research trends of immunity in diabetic nephropathy: a bibliometric and visual analysis from 2004 to 2023
    Jianlong Zhou, Lv Zhu, Rensong Yue
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Others
Fasting Glucose Variability and the Risk of Dementia in Individuals with Diabetes: A Nationwide Cohort Study
Da Young Lee, Jaeyoung Kim, Sanghyun Park, So Young Park, Ji Hee Yu, Ji A Seo, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Kyungdo Han, Nan Hee Kim
Diabetes Metab J. 2022;46(6):923-935.   Published online May 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0346
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We investigated whether fasting glucose (FG) variability could predict the risk of dementia.
Methods
This cohort study analyzed data from Koreans with diabetes after at least three health examinations by the Korean National Health Insurance Corporation between 2005 and 2010, which included at least one examination between 2009 and 2010. A total of 769,554 individuals were included, excluding those aged <40 years and those with dementia. FG variability was measured using the variability independent of the mean (FG-VIM). The incidence of dementia was defined by the International Classification of Diseases 10th Revision codes and prescription of anti-dementia medication and was subdivided into Alzheimer’s disease (AD) and vascular dementia (VD).
Results
During the 6.9-year follow-up, 54,837, 41,032, and 6,892 cases of all-cause dementia, AD, and VD, respectively, were identified. Cox proportional regression analyses showed that as the FG-VIM quartile increased, the risk of dementia serially increased after adjustment for metabolic factors, income status, and diabetes-related characteristics, including the mean FG. Participants in FG-VIM quartile 4 showed a 18%, 19%, and 17% higher risk for all-cause dementia, AD, and VD, respectively, than those in quartile 1; this particularly included non-obese patients with a longer duration of diabetes, high FG levels, dyslipidemia, and those taking glucose-lowering medications. Conversely, the baseline FG status and dementia showed a U-shaped association.
Conclusion
Increased FG variability over 5 years can predict the risk of dementia in individuals with diabetes in Korea. This finding was more pronounced in patients with less favorable metabolic profiles.

Citations

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  • Fasting glucose variability and risk of dementia in Parkinson’s disease: a 9-year longitudinal follow-up study of a nationwide cohort
    Sung Hoon Kang, Yunjin Choi, Su Jin Chung, Seok-Joo Moon, Chi Kyung Kim, Ji Hyun Kim, Kyungmi Oh, Joon Shik Yoon, Sang Won Seo, Geum Joon Cho, Seong-Beom Koh
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  • Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer’s Disease
    Himan Mohamed-Mohamed, Victoria García-Morales, Encarnación María Sánchez Lara, Anabel González-Acedo, Teresa Pardo-Moreno, María Isabel Tovar-Gálvez, Lucía Melguizo-Rodríguez, Juan José Ramos-Rodríguez
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Short Communication
Drug/Regimen
Article image
The Efficacy of Treatment Intensification by Quadruple Oral Therapy Compared to GLP-1RA Therapy in Poorly Controlled Type 2 Diabetes Mellitus Patients: A Real-World Data Study
Minyoung Kim, Hosu Kim, Kyong Young Kim, Soo Kyoung Kim, Junghwa Jung, Jong Ryeal Hahm, Jaehoon Jung, Jong Ha Baek
Diabetes Metab J. 2023;47(1):135-139.   Published online April 29, 2022
DOI: https://doi.org/10.4093/dmj.2021.0373
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
We compared the glycemic efficacy of treatment intensification between quadruple oral antidiabetic drug therapy and once-weekly glucagon-like peptide-1 receptor agonist (GLP-1RA)-based triple therapy in patients with poorly controlled type 2 diabetes mellitus refractory to triple oral therapy. For 24 weeks, changes in glycosylated hemoglobin (HbA1c) from baseline were compared between the two treatment groups. Of all 96 patients, 50 patients were treated with quadruple therapy, and 46 were treated with GLP-1RA therapy. Reductions in HbA1c for 24 weeks were comparable (in both, 1.1% reduction from baseline; P=0.59). Meanwhile, lower C-peptide level was associated with a lower glucose-lowering response of GLP-1RA therapy (R=0.3, P=0.04) but not with quadruple therapy (R=–0.13, P=0.40). HbA1c reduction by GLP-1RA therapy was inferior to that by quadruple therapy in the low C-peptide subgroup (mean, –0.1% vs. –1.3%; P=0.04). Treatment intensification by switching to quadruple oral therapy showed similar glucose-lowering efficacy to weekly GLP-1RA-based triple therapy. Meanwhile, the therapeutic response was affected by C-peptide levels in the GLP-1RA therapy group but not in the quadruple therapy group.
Original Articles
Others
Influence of Maternal Diabetes on the Risk of Neurodevelopmental Disorders in Offspring in the Prenatal and Postnatal Periods
Verónica Perea, Xavier Urquizu, Maite Valverde, Marina Macias, Anna Carmona, Esther Esteve, Gemma Escribano, Nuria Pons, Oriol Giménez, Teresa Gironés, Andreu Simó-Servat, Andrea Domenech, Núria Alonso-Carril, Carme Quirós, Antonio J. Amor, Eva López, Maria José Barahona
Diabetes Metab J. 2022;46(6):912-922.   Published online April 29, 2022
DOI: https://doi.org/10.4093/dmj.2021.0340
  • 5,221 View
  • 256 Download
  • 6 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to evaluate the influence of maternal diabetes in the risk of neurodevelopmental disorders in offspring in the prenatal and postnatal periods.
Methods
This cohort study included singleton gestational diabetes mellitus (GDM) pregnancies >22 weeks’ gestation with live newborns between 1991 and 2008. The control group was randomly selected and matched (1:2) for maternal age, weeks of gestation and birth year. Cox regression models estimated the effect of GDM on the risk of attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and maternal type 2 diabetes mellitus (T2DM). Moreover, interaction between maternal T2DM and GDM-ADHD relationship was evaluated.
Results
Children (n=3,123) were included (1,073 GDM; 2,050 control group). The median follow-up was 18.2 years (interquartile range, 14.2 to 22.3) (n=323 with ADHD, n=36 with ASD, and n=275 from women who developed T2DM). GDM exposure was associated with ADHD (hazard ratio [HR]crude, 1.67; 95% confidence interval [CI], 1.33 to 2.07) (HRadjusted, 1.64; 95% CI, 1.31 to 2.05). This association remained significant regardless of the treatment (diet or insulin) and diagnosis after 26 weeks of gestation. Children of mothers who developed T2DM presented higher rates of ADHD (14.2 vs. 10%, P=0.029). However, no interaction was found when T2DM was included in the GDM and ADHD models (P>0.05). GDM was not associated with an increased risk of ASD (HRadjusted, 1.46; 95% CI, 0.74 to 2.84).
Conclusion
Prenatal exposure to GDM increases the risk of ADHD in offspring, regardless of GDM treatment complexity. However, postnatal exposure to maternal T2DM was not related to the development of ADHD.

Citations

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    Clinical Nutrition.2023; 42(10): 1875.     CrossRef
  • Role of Excessive Weight Gain During Gestation in the Risk of ADHD in Offspring of Women With Gestational Diabetes
    Verónica Perea, Andreu Simó-Servat, Carmen Quirós, Nuria Alonso-Carril, Maite Valverde, Xavier Urquizu, Antonio J Amor, Eva López, Maria-José Barahona
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(10): e4203.     CrossRef
Type 1 Diabetes
Abnormal Responses in Cognitive Impulsivity Circuits Are Associated with Glycosylated Hemoglobin Trajectories in Type 1 Diabetes Mellitus and Impaired Metabolic Control
Helena Jorge, Isabel C. Duarte, Sandra Paiva, Ana Paula Relvas, Miguel Castelo-Branco
Diabetes Metab J. 2022;46(6):866-878.   Published online March 22, 2022
DOI: https://doi.org/10.4093/dmj.2021.0307
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Risky health decisions and impulse control profiles may impact on metabolic control in type 1 diabetes mellitus (T1DM). We hypothesize that the neural correlates of cognitive impulsivity and decision-making in T1DM relate to metabolic control trajectories.
Methods
We combined functional magnetic resonance imaging (fMRI), measures of metabolic trajectories (glycosylated hemoglobin [HbA1c] over multiple time points) and behavioral assessment using a cognitive impulsivity paradigm, the Balloon Analogue Risk Task (BART), in 50 participants (25 T1DM and 25 controls).
Results
Behavioral results showed that T1DM participants followed a rigid conservative risk strategy along the iterative game. Imaging group comparisons showed that patients showed larger activation of reward related, limbic regions (nucleus accumbens, amygdala) and insula (interoceptive saliency network) in initial game stages. Upon game completion differences emerged in relation to error monitoring (anterior cingulate cortex [ACC]) and inhibitory control (inferior frontal gyrus). Importantly, activity in the saliency network (ACC and insula), which monitors interoceptive states, was related with metabolic trajectories, which was also found for limbic/reward networks. Parietal and posterior cingulate regions activated both in controls and patients with adaptive decision-making, and positively associated with metabolic trajectories.
Conclusion
We found triple converging evidence when comparing metabolic trajectories, patients versus controls or risk averse (non-learners) versus patients who learned by trial and error. Dopaminergic reward and saliency (interoceptive and error monitoring) circuits show a tight link with impaired metabolic trajectories and cognitive impulsivity in T1DM. Activity in parietal and posterior cingulate are associated with adaptive trajectories. This link between reward-saliency-inhibition circuits suggests novel strategies for patient management.

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  • The usefulness of an intervention with a serious video game as a complementary approach to cognitive behavioural therapy in eating disorders: A pilot randomized clinical trial for impulsivity management
    Cristina Vintró‐Alcaraz, Núria Mallorquí‐Bagué, María Lozano‐Madrid, Giulia Testa, Roser Granero, Isabel Sánchez, Janet Treasure, Susana Jiménez‐Murcia, Fernando Fernández‐Aranda
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    Charline Compagne, Juliana Teti Mayer, Damien Gabriel, Alexandre Comte, Eloi Magnin, Djamila Bennabi, Thomas Tannou
    Frontiers in Neuroscience.2023;[Epub]     CrossRef
  • Trust-based health decision-making recruits the neural interoceptive saliency network which relates to temporal trajectories of Hemoglobin A1C in Diabetes Type 1
    Helena Jorge, Isabel C. Duarte, Miguel Melo, Ana Paula Relvas, Miguel Castelo-Branco
    Brain Imaging and Behavior.2023; 18(1): 171.     CrossRef
Others
Development of Various Diabetes Prediction Models Using Machine Learning Techniques
Juyoung Shin, Jaewon Kim, Chanjung Lee, Joon Young Yoon, Seyeon Kim, Seungjae Song, Hun-Sung Kim
Diabetes Metab J. 2022;46(4):650-657.   Published online March 11, 2022
DOI: https://doi.org/10.4093/dmj.2021.0115
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  • 6 Web of Science
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There are many models for predicting diabetes mellitus (DM), but their clinical implication remains vague. Therefore, we aimed to create various DM prediction models using easily accessible health screening test parameters.
Methods
Two sets of variables were used to develop eight DM prediction models. One set comprised 62 easily accessible examination results of commonly used variables from a tertiary university hospital. The second set comprised 27 of the 62 variables included in the national routine health checkups. Gradient boosting and random forest algorithms were used to develop the models. Internal validation was performed using the stratified 10-fold cross-validation method.
Results
The area under the receiver operating characteristic curve (ROC-AUC) for the 62-variable DM model making 12-month predictions for subjects without diabetes was the largest (0.928) among those of the eight DM prediction models. The ROC-AUC dropped by more than 0.04 when training with the simplified 27-variable set but still showed fairly good performance with ROC-AUCs between 0.842 and 0.880. The accuracy was up to 11.5% higher (from 0.807 to 0.714) when fasting glucose was included.
Conclusion
We created easily applicable diabetes prediction models that deliver good performance using parameters commonly assessed during tertiary university hospital and national routine health checkups. We plan to perform prospective external validation, hoping that the developed DM prediction models will be widely used in clinical practice.

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  • Predictive modeling for the development of diabetes mellitus using key factors in various machine learning approaches
    Marenao Tanaka, Yukinori Akiyama, Kazuma Mori, Itaru Hosaka, Kenichi Kato, Keisuke Endo, Toshifumi Ogawa, Tatsuya Sato, Toru Suzuki, Toshiyuki Yano, Hirofumi Ohnishi, Nagisa Hanawa, Masato Furuhashi
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    Hye Ah Lee, Hyesook Park, Young Sun Hong
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Metabolic Risk/Epidemiology
Sex Differences in the Effects of CDKAL1 Variants on Glycemic Control in Diabetic Patients: Findings from the Korean Genome and Epidemiology Study
Hye Ah Lee, Hyesook Park, Young Sun Hong
Diabetes Metab J. 2022;46(6):879-889.   Published online February 8, 2022
DOI: https://doi.org/10.4093/dmj.2021.0265
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Using long-term data from the Korean Genome and Epidemiology Study, we defined poor glycemic control and investigated possible risk factors, including variants related to type 2 diabetes mellitus (T2DM). In addition, we evaluated interaction effects among risk factors for poor glycemic control.
Methods
Among 436 subjects with newly diagnosed diabetes, poor glycemic control was defined based on glycosylated hemoglobin trajectory patterns by group-based trajectory modeling. For the variants related to T2DM, genetic risk scores (GRSs) were calculated and divided into quartiles. Risk factors for poor glycemic control were assessed using a logistic regression model.
Results
Of the subjects, 43% were in the poor-glycemic-control group. Body mass index (BMI) and triglyceride (TG) were associated with poor glycemic control. The risk for poor glycemic control increased by 11.0% per 1 kg/m2 increase in BMI and by 3.0% per 10 mg/dL increase in TG. The risk for GRS with poor glycemic control was sex-dependent (Pinteraction=0.07), and a relationship by GRS quartiles was found in females but not in males. Moreover, the interaction effect was found to be significant on both additive and multiplicative scales. The interaction effect was evident in the variants of cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like (CDKAL1).
Conclusion
Females with risk alleles of variants in CDKAL1 associated with T2DM had a higher risk for poor glycemic control than males.

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  • Hepatic Cdkal1 deletion regulates HDL catabolism and promotes reverse cholesterol transport
    Dan Bi An, Soo-jin Ann, Seungmin Seok, Yura Kang, Sang-Hak Lee
    Atherosclerosis.2023; 375: 21.     CrossRef
Review
Islet Studies and Transplantation
Article image
Regulation of Pancreatic β-Cell Mass by Gene-Environment Interaction
Shun-ichiro Asahara, Hiroyuki Inoue, Yoshiaki Kido
Diabetes Metab J. 2022;46(1):38-48.   Published online January 27, 2022
DOI: https://doi.org/10.4093/dmj.2021.0045
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Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
The main pathogenic mechanism of diabetes consists of an increase in insulin resistance and a decrease in insulin secretion from pancreatic β-cells. The number of diabetic patients has been increasing dramatically worldwide, especially in Asian people whose capacity for insulin secretion is inherently lower than that of other ethnic populations. Causally, changes of environmental factors in addition to intrinsic genetic factors have been considered to have an influence on the increased prevalence of diabetes. Particular focus has been placed on “gene-environment interactions” in the development of a reduced pancreatic β-cell mass, as well as type 1 and type 2 diabetes mellitus. Changes in the intrauterine environment, such as intrauterine growth restriction, contribute to alterations of gene expression in pancreatic β-cells, ultimately resulting in the development of pancreatic β-cell failure and diabetes. As a molecular mechanism underlying the effect of the intrauterine environment, epigenetic modifications have been widely investigated. The association of diabetes susceptibility genes or dietary habits with gene-environment interactions has been reported. In this review, we provide an overview of the role of gene-environment interactions in pancreatic β-cell failure as revealed by previous reports and data from experiments.

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Original Article
Metabolic Risk/Epidemiology
Article image
Reproductive Life Span and Severe Hypoglycemia Risk in Postmenopausal Women with Type 2 Diabetes Mellitus
Soyeon Kang, Yong-Moon Park, Dong Jin Kwon, Youn-Jee Chung, Jeong Namkung, Kyungdo Han, Seung-Hyun Ko
Diabetes Metab J. 2022;46(4):578-591.   Published online January 24, 2022
DOI: https://doi.org/10.4093/dmj.2021.0135
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Estrogen promotes glucose homeostasis, enhances insulin sensitivity, and maintains counterregulatory responses in recurrent hypoglycemia in women of reproductive age. Postmenopausal women with type 2 diabetes mellitus (T2DM) might be more vulnerable to severe hypoglycemia (SH) events. However, the relationship between reproductive factors and SH occurrence in T2DM remains unelucidated.
Methods
This study included data on 181,263 women with postmenopausal T2DM who participated in a national health screening program from January 1 to December 31, 2009, obtained using the Korean National Health Insurance System database. Outcome data were obtained until December 31, 2018. Associations between reproductive factors and SH incidence were assessed using Cox proportional hazards models.
Results
During the mean follow-up of 7.9 years, 11,279 (6.22%) postmenopausal women with T2DM experienced SH episodes. A longer reproductive life span (RLS) (≥40 years) was associated with a lower SH risk compared to a shorter RLS (<30 years) (adjusted hazard ratio [HR], 0.74; 95% confidence interval [CI], 0.69 to 0.80; P for trend <0.001) after multivariable adjustment. SH risk decreased with every 5-year increment of RLS (with <30 years as a reference [adjusted HR, 0.91; 95% CI, 0.86 to 0.95; P=0.0001 for 30−34 years], [adjusted HR, 0.80; 95% CI, 0.76 to 0.84; P<0.001 for 35−39 years], [adjusted HR, 0.74; 95% CI, 0.68 to 0.81; P<0.001 for ≥40 years]). The use of hormone replacement therapy (HRT) was associated with a lower SH risk than HRT nonuse.
Conclusion
Extended exposure to endogenous ovarian hormone during lifetime may decrease the number of SH events in women with T2DM after menopause.

Citations

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  • Association between serum copper level and reproductive health of Women in the United States: a cross-sectional study
    Yi Yuan, Tong-Yu Peng, Guang-Yuan Yu, Zhao Zou, Meng-Ze Wu, Ruofei Zhu, Shuang Wu, Zi Lv, Su-Xin Luo
    International Journal of Environmental Health Research.2024; 34(6): 2441.     CrossRef
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    Ruwei Ou, Qianqian Wei, Yanbing Hou, Lingyu Zhang, Kuncheng Liu, Junyu Lin, Tianmi Yang, Jing Yang, Zheng Jiang, Wei Song, Bei Cao, Huifang Shang
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