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4 "Jong Han Choi"
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Original Article
Diabetes, obesity and metabolism
Big Data Articles (National Health Insurance Service Database)
Risk for Newly Diagnosed Type 2 Diabetes Mellitus after COVID-19 among Korean Adults: A Nationwide Matched Cohort Study
Jong Han Choi, Kyoung Min Kim, Keeho Song, Gi Hyeon Seo
Endocrinol Metab. 2023;38(2):245-252.   Published online April 5, 2023
DOI: https://doi.org/10.3803/EnM.2023.1662
  • 931 View
  • 83 Download
  • 1 Citations
AbstractAbstract PDFPubReader   ePub   CrossRef-TDMCrossref - TDM
Background
Coronavirus disease 2019 (COVID-19) can cause various extrapulmonary sequelae, including diabetes. However, it is unclear whether these effects persist 30 days after diagnosis. Hence, we investigated the incidence of newly diagnosed type 2 diabetes mellitus (T2DM) in the post-acute phase of COVID-19.
Methods
This cohort study used data from the Health Insurance Review and Assessment Service, a representative national healthcare database in Korea. We established a cohort of 348,180 individuals diagnosed with COVID-19 without a history of diabetes between January 2020 and September 2021. The control group consisted of sex- and age-matched individuals with neither a history of diabetes nor COVID-19. We assessed the hazard ratios (HR) of newly diagnosed T2DM patients with COVID-19 compared to controls, adjusted for age, sex, and the presence of hypertension and dyslipidemia.
Results
In the post-acute phase, patients with COVID-19 had an increased risk of newly diagnosed T2DM compared to those without COVID-19 (adjusted HR, 1.30; 95% confidence interval [CI], 1.27 to 1.33). The adjusted HRs of non-hospitalized, hospitalized, and intensive care unit-admitted patients were 1.14 (95% CI, 1.08 to 1.19), 1.34 (95% CI, 1.30 to 1.38), and 1.78 (95% CI, 1.59 to 1.99), respectively. The risk of T2DM in patients who were not administered glucocorticoids also increased (adjusted HR, 1.29; 95% CI, 1.25 to 1.32).
Conclusion
COVID-19 may increase the risk of developing T2DM beyond the acute period. The higher the severity of COVID-19 in the acute phase, the higher the risk of newly diagnosed T2DM. Therefore, T2DM should be included as a component of managing long-term COVID-19.

Citations

Citations to this article as recorded by  
  • Pituitary Diseases and COVID-19 Outcomes in South Korea: A Nationwide Cohort Study
    Jeonghoon Ha, Kyoung Min Kim, Dong-Jun Lim, Keeho Song, Gi Hyeon Seo
    Journal of Clinical Medicine.2023; 12(14): 4799.     CrossRef
Review Article
Diabetes, Obesity and Metabolism
Homeostatic Regulation of Glucose Metabolism by the Central Nervous System
Jong Han Choi, Min-Seon Kim
Endocrinol Metab. 2022;37(1):9-25.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2021.1364
  • 3,414 View
  • 253 Download
  • 7 Citations
AbstractAbstract PDFPubReader   ePub   CrossRef-TDMCrossref - TDM
Evidence for involvement of the central nervous system (CNS) in the regulation of glucose metabolism dates back to the 19th century, although the majority of the research on glucose metabolism has focused on the peripheral metabolic organs. Due to recent advances in neuroscience, it has now become clear that the CNS is indeed vital for maintaining glucose homeostasis. To achieve normoglycemia, specific populations of neurons and glia in the hypothalamus sense changes in the blood concentrations of glucose and of glucoregulatory hormones such as insulin, leptin, glucagon-like peptide 1, and glucagon. This information is integrated and transmitted to other areas of the brain where it eventually modulates various processes in glucose metabolism (i.e., hepatic glucose production, glucose uptake in the brown adipose tissue and skeletal muscle, pancreatic insulin and glucagon secretion, renal glucose reabsorption, etc.). Errors in these processes lead to hyper- or hypoglycemia. We here review the current understanding of the brain regulation of glucose metabolism.

Citations

Citations to this article as recorded by  
  • Obesity-associated microglial inflammatory activation paradoxically improves glucose tolerance
    John D. Douglass, Kelly M. Ness, Martin Valdearcos, Alice Wyse-Jackson, Mauricio D. Dorfman, Jeremy M. Frey, Rachael D. Fasnacht, Olivia D. Santiago, Anzela Niraula, Jineta Banerjee, Megan Robblee, Suneil K. Koliwad, Joshua P. Thaler
    Cell Metabolism.2023; 35(9): 1613.     CrossRef
  • Phenotypic screening using waveform analysis of synchronized calcium oscillations in primary cortical cultures
    Richi Sakaguchi, Saki Nakamura, Hiroyuki Iha, Masaki Tanaka, Ming Tatt Lee
    PLOS ONE.2023; 18(4): e0271782.     CrossRef
  • Effects of Escitalopram on the Functional Neural Circuits in an Animal Model of Adolescent Depression
    Se Jong Oh, Namhun Lee, Kyung Rok Nam, Kyung Jun Kang, Sang Jin Han, Jae Yong Choi
    Molecular Imaging and Biology.2023; 25(4): 735.     CrossRef
  • A Survey of Deep Learning for Alzheimer’s Disease
    Qinghua Zhou, Jiaji Wang, Xiang Yu, Shuihua Wang, Yudong Zhang
    Machine Learning and Knowledge Extraction.2023; 5(2): 611.     CrossRef
  • Potassium channels in behavioral brain disorders. Molecular mechanisms and therapeutic potential: A narrative review
    Kazi Asraful Alam, Pernille Svalastoga, Aurora Martinez, Jeffrey Colm Glennon, Jan Haavik
    Neuroscience & Biobehavioral Reviews.2023; 152: 105301.     CrossRef
  • Knockout of Nur77 Leads to Amino Acid, Lipid, and Glucose Metabolism Disorders in Zebrafish
    Yang Xu, Juanjuan Tian, Qi Kang, Hang Yuan, Chengdong Liu, Zhehui Li, Jie Liu, Mingyu Li
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Effects of the POMC System on Glucose Homeostasis and Potential Therapeutic Targets for Obesity and Diabetes
    Dan Yang, Xintong Hou, Guimei Yang, Mengnan Li, Jian Zhang, Minmin Han, Yi Zhang, Yunfeng Liu
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 2939.     CrossRef
Original Article
Obesity and Metabolism
Distinct Ultradian Rhythms in Plasma Clusterin Concentrations in Lean and Obese Korean Subjects
Jong Han Choi, Eunheui Jeong, Byung Soo Youn, Min-Seon Kim
Endocrinol Metab. 2018;33(2):245-251.   Published online May 4, 2018
DOI: https://doi.org/10.3803/EnM.2018.33.2.245
  • 3,977 View
  • 40 Download
  • 3 Citations
AbstractAbstract PDFPubReader   ePub   CrossRef-TDMCrossref - TDM
Background

Blood levels of many hormones show rhythmic fluctuations with variable duration of cycles. Clusterin/apolipoprotein J is a glycoprotein which is highly expressed in the plasma and has modulatory roles in immune and inflammatory reactions, neurobiology, lipid metabolism, and leptin signaling. In this study, we examined the diurnal fluctuations of plasma clusterin concentrations in lean and obese young men.

Methods

For the study, 14 subjects (five lean and five obese men; two lean and two obese women) were admitted to the research ward and blood samples were drawn every 30 minutes during light-on period (6:00 AM to 10:00 PM) and every hour during light-off period.

Results

Notably, plasma clusterin concentrations displayed a unique ultradian rhythm with five cycles a day in both men and women. During the light-on period, circulating clusterin levels showed fluctuating curves with 4 hours regular intervals with sharp peaks and troughs. In contrast, single oscillation curve during light-off exhibited a smoothened/lower peak and longer (8-hour) duration. In obese men, these cycles were phase-advanced by approximately 1 hour, and had reduced amplitude of fluctuating curves and blunted diurnal pattern. Cyclic fluctuations of plasma clusterin were preserved under fasting and unexpected meal condition, suggesting that rhythmic oscillations in plasma clusterin levels are not generated by meal-related cues.

Conclusion

These findings firstly demonstrate a novel pattern of plasma clusterin fluctuations with extremely regular cycles.

Citations

Citations to this article as recorded by  
  • Clusterin and Related Scoring Index as Potential Early Predictors of Response to Sorafenib in Hepatocellular Carcinoma
    Satoshi Narahara, Takehisa Watanabe, Katsuya Nagaoka, Nahoko Fujimoto, Yoki Furuta, Kentaro Tanaka, Takayuki Tokunaga, Takeshi Kawasaki, Yoko Yoshimaru, Hiroko Setoyama, Kentaro Oniki, Junji Saruwatari, Masakuni Tateyama, Hideaki Naoe, Motohiko Tanaka, Ya
    Hepatology Communications.2022; 6(5): 1198.     CrossRef
  • The role of circadian rhythm in choroid plexus functions
    Telma Quintela, André Furtado, Ana C. Duarte, Isabel Gonçalves, Jihwan Myung, Cecília R.A. Santos
    Progress in Neurobiology.2021; 205: 102129.     CrossRef
  • A Novel Multi-Biomarker Assay for Non-Invasive Quantitative Monitoring of Kidney Injury
    Drew Watson, Joshua Y. C. Yang, Reuben D. Sarwal, Tara K. Sigdel, Juliane M. Liberto, Izabella Damm, Victoria Louie, Shristi Sigdel, Devon Livingstone, Katherine Soh, Arjun Chakraborty, Michael Liang, Pei-Chen Lin, Minnie M. Sarwal
    Journal of Clinical Medicine.2019; 8(4): 499.     CrossRef
Case Report
Adrenal gland
Multiple Myeloma in a Patient with Acromegaly
Yu Mi Kang, Jong Han Choi, Min Jung Lee, Ari Ahn, Chan-Jeoung Park, Kiju Chang, Seyoung Seo, Sun In Hong, Min-Seon Kim
Endocrinol Metab. 2015;30(1):110-115.   Published online March 27, 2015
DOI: https://doi.org/10.3803/EnM.2015.30.1.110
  • 4,290 View
  • 32 Download
  • 1 Citations
AbstractAbstract PDFPubReader   CrossRef-TDMCrossref - TDM

Acromegaly is a slowly progressing condition resulting from excess growth hormone (GH), generally caused by a GH-secreting pituitary adenoma. Cancer is the third most common cause of mortality in patients with acromegaly, and insulin-like growth factor 1 (IGF-1) is known to influence tumor formation by increasing cell proliferation and inhibiting apoptosis. Multiple myeloma (MM) is a plasma cell neoplasm, and previous studies have suggested the possible role of IGF-1 in its development of MM. However, no cases of acromegaly accompanied with MM have been reported in Asia to date. We here report the case of a 58-year-old woman with acromegaly accompanied with MM who presented with longstanding acromegalic manifestations resulting from a GH-secreting pituitary adenoma and also exhibited anemia, a reversed albumin/globulin ratio, and plasmacytosis on bone marrow examination. Because IGF-1 has been suggested to play an important role in the development and progression of MM, the patient promptly underwent surgical removal of the pituitary adenoma via a transsphenoidal approach. Since there is currently no consensus on therapeutic guidelines and suggested prognosis for MM with acromegaly, long-term follow-up of such cases is needed.

Citations

Citations to this article as recorded by  
  • Co-Occurrence of Acromegaly and Hematological Disorders: A Myth or Common Pathogenic Mechanism
    Prakamya Gupta, Pinaki Dutta
    Integrative Medicine International.2017; 4(1-2): 94.     CrossRef

Endocrinol Metab : Endocrinology and Metabolism