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Links between Thyroid Disorders and Glucose Homeostasis
Young Sil Eom, Jessica R. Wilson, Victor J. Bernet
Diabetes Metab J. 2022;46(2):239-256.   Published online March 24, 2022
DOI: https://doi.org/10.4093/dmj.2022.0013
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  • 636 Download
  • 23 Web of Science
  • 21 Crossref
AbstractAbstract PDFPubReader   ePub   
Thyroid disorders and diabetes mellitus often coexist and are closely related. Several studies have shown a higher prevalence of thyroid disorders in patients with diabetes mellitus and vice versa. Thyroid hormone affects glucose homeostasis by impacting pancreatic β-cell development and glucose metabolism through several organs such as the liver, gastrointestinal tract, pancreas, adipose tissue, skeletal muscles, and the central nervous system. The present review discusses the effect of thyroid hormone on glucose homeostasis. We also review the relationship between thyroid disease and diabetes mellitus: type 1, type 2, and gestational diabetes, as well as guidelines for screening thyroid function with each disorder. Finally, we provide an overview of the effects of antidiabetic drugs on thyroid hormone and thyroid disorders.

Citations

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  • Linkage and association of rs3110045 and rs28499085 variants in the thyrotropin-releasing hormone receptor (TRHR) gene with the risk of familial type 2 diabetes
    Rongling Wu, Claudia Gragnoli
    Aspects of Molecular Medicine.2024; 3: 100037.     CrossRef
  • Obesity and Obesity-Related Thyroid Dysfunction: Any Potential Role for the Very Low-Calorie Ketogenic Diet (VLCKD)?
    Sebastián Pablo Chapela, Alison Simancas-Racines, Florencia Ceriani, Andrés Luciano Nicolas Martinuzzi, María Paula Russo, Ana Karina Zambrano, Daniel Simancas-Racines, Ludovica Verde, Giovanna Muscogiuri, Christos S. Katsanos, Evelyn Frias-Toral, Luigi B
    Current Nutrition Reports.2024;[Epub]     CrossRef
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    Guglielmina Froldi
    Pharmaceuticals.2024; 17(4): 478.     CrossRef
  • Thyroid Hormones and Diabetes in Euthyroid Hispanic/Latino Adults of Diverse Backgrounds: HCHS/SOL
    Victoria Persky, Chibuzor Abasilim, Konstantina Tsintsifas, Tessa Day, Robert M Sargis, Martha Daviglus, Jianwen Cai, Sally Freels, Robert Kaplan, Carmen R Isasi, Amber Pirzada, Michelle L Meyer, Gregory A Talavera, Bharat Thyagarajan, Shivani Agarwal, No
    Journal of the Endocrine Society.2024;[Epub]     CrossRef
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    Annals of Emergency Medicine.2023; 82(6): 705.     CrossRef
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    Josip Delmis, Slavko Oreskovic, Vesna Elvedji Gasparovic, Mirta Starcevic, Mislav Herman, Nada Dessardo, Vito Starcevic, Marina Ivanisevic
    Nutrients.2023; 15(3): 600.     CrossRef
  • Isolated Maternal Hypothyroxinemia May be Associated with Insulin Requirement in Gestational Diabetes Mellitus
    Ömercan Topaloğlu, Mehmet Uzun, Seda Nur Topaloğlu, Ibrahim Sahin
    Hormone and Metabolic Research.2023; 55(04): 245.     CrossRef
  • Association of urinary iodine concentration with prediabetes/diabetes in adults: Analysis of the NHANES 2005–2016
    Jingmin Chen, Huanzhu Liang, Yuxuan Tan, Lin Wen, Ziang Guo, Jiyu Nie, Xiaoxiao Lin, Feng Huang, Jie Wang, Puyi Xing, Lihong Nie, Lihong Wang, Chunxia Jing
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    Diabetes/Metabolism Research and Reviews.2023;[Epub]     CrossRef
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    Frontiers in Endocrinology.2023;[Epub]     CrossRef
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    BMC Endocrine Disorders.2023;[Epub]     CrossRef
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  • Hypothyroidism increases angiotensinogen gene expression associated with vascular smooth muscle cells cholesterol metabolism dysfunction and aorta remodeling in Psammomys obesus
    Samia Neggazi, Nadjiba Hamlat, Sihem Berdja, Saliha Boumaza, Leila Smail, Michel Beylot, Souhila Aouichat-Bouguerra
    Scientific Reports.2023;[Epub]     CrossRef
  • The Correlation Between Thyroid Parameters and the Ratios of Neutrophil/Lymphocyte and Platelet/Lymphocyte in Euthyroid Type 2 Diabetic Patients
    Hui Chen, Jun-Qiang Ju, Xiao-Wu Qian, Zheng-Tai Zhu, Chun-Zhi Zhao, Zhe Liu
    Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 3763.     CrossRef
  • Effects of high-intensity interval training program on pituartry function in basketball players: a randomized controlled trial
    Recep Soslu, Abdullah Uysal, Meltem Devrilmez, İsmail Can Çuvalcıoğlu, Ali Ahmet Doğan, Sülbiye Karaburgu, Murat Taş
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    Francesca Gorini, Cristina Vassalle
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    Cardiovascular Diabetology.2022;[Epub]     CrossRef
  • Metabolite Changes during the Transition from Hyperthyroidism to Euthyroidism in Patients with Graves’ Disease
    Ho Yeop Lee, Byeong Chang Sim, Ha Thi Nga, Ji Sun Moon, Jingwen Tian, Nguyen Thi Linh, Sang Hyeon Ju, Dong Wook Choi, Daiki Setoyama, Hyon-Seung Yi
    Endocrinology and Metabolism.2022; 37(6): 891.     CrossRef
Original Articles
Basic Research
Notch1 Has an Important Role in β-Cell Mass Determination and Development of Diabetes
Young Sil Eom, A-Ryeong Gwon, Kyung Min Kwak, Jin-Young Youn, Heekyoung Park, Kwang-Won Kim, Byung-Joon Kim
Diabetes Metab J. 2021;45(1):86-96.   Published online February 26, 2020
DOI: https://doi.org/10.4093/dmj.2019.0160
  • 6,346 View
  • 185 Download
  • 7 Web of Science
  • 6 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

Notch signaling pathway plays an important role in regulating pancreatic endocrine and exocrine cell fate during pancreas development. Notch signaling is also expressed in adult pancreas. There are few studies on the effect of Notch on adult pancreas. Here, we investigated the role of Notch in islet mass and glucose homeostasis in adult pancreas using Notch1 antisense transgenic (NAS).

Methods

Western blot analysis was performed for the liver of 8-week-old male NAS mice. We also conducted an intraperitoneal glucose tolerance test (IPGTT) and intraperitoneal insulin tolerance test in 8-week-old male NAS mice and male C57BL/6 mice (control). Morphologic observation of pancreatic islet and β-cell was conducted in two groups. Insulin secretion capacity in islets was measured by glucose-stimulated insulin secretion (GSIS) and perifusion.

Results

NAS mice showed higher glucose levels and lower insulin secretion in IPGTT than the control mice. There was no significant difference in insulin resistance. Total islet and β-cell masses were decreased in NAS mice. The number of large islets (≥250 µm) decreased while that of small islets (<250 µm) increased. Reduced insulin secretion was observed in GSIS and perifusion. Neurogenin3, neurogenic differentiation, and MAF bZIP transcription factor A levels increased in NAS mice.

Conclusion

Our study provides that Notch1 inhibition decreased insulin secretion and decreased islet and β-cell masses. It is thought that Notch1 inhibition suppresses islet proliferation and induces differentiation of small islets. In conclusion, Notch signaling pathway may play an important role in β-cell mass determination and diabetes.

Citations

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  • N6-methylation of RNA-bound adenosine regulator HNRNPC promotes vascular endothelial dysfunction in type 2 diabetes mellitus by activating the PSEN1-mediated Notch pathway
    Ying Cai, Tao Chen, Mingzhu Wang, Lihua Deng, Cui Li, Siqian Fu, Kangling Xie
    Diabetes Research and Clinical Practice.2023; 197: 110261.     CrossRef
  • Single‐cell RNA sequencing: Inhibited Notch2 signalling underlying the increased lens fibre cells differentiation in high myopia
    Yunqian Yao, Ling Wei, Zhenhua Chen, Hao Li, Jiao Qi, Qingfeng Wu, Xingtao Zhou, Yi Lu, Xiangjia Zhu
    Cell Proliferation.2023;[Epub]     CrossRef
  • Micro ribonucleic acid‐363 regulates the phosphatidylinositol 3‐kinase/threonine protein kinase axis by targeting NOTCH1 and forkhead box C2, leading to hepatic glucose and lipids metabolism disorder in type 2 diabetes mellitus
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    Journal of Diabetes Investigation.2022; 13(2): 236.     CrossRef
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    Tomonori Okita, Shunbun Kita, Shiro Fukuda, Keita Fukuoka, Emi Kawada-Horitani, Masahito Iioka, Yuto Nakamura, Yuya Fujishima, Hitoshi Nishizawa, Dan Kawamori, Taka-aki Matsuoka, Maeda Norikazu, Iichiro Shimomura
    iScience.2022; 25(11): 105404.     CrossRef
  • Comparison of islet isolation result and clinical applicability according to GMP‐grade collagenase enzyme blend in adult porcine islet isolation and culture
    Kyungmin Kwak, Jae‐kyung Park, Joohyun Shim, Nayoung Ko, Hyoung‐Joo Kim, Yongjin Lee, Jun‐Hyeong Kim, Michael Alexander, Jonathan R. T. Lakey, Hyunil Kim, Kimyung Choi
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    Diabetes Care.2021; 44(12): 2673.     CrossRef
Evaluation of Stress in Korean Patients with Diabetes Mellitus Using the Problem Areas in Diabetes-Korea Questionnaire
Young Sil Eom, Hwa Sun Park, Sei-Hyun Kim, Sun Mee Yang, Moon Suk Nam, Hyoung Woo Lee, Ki Young Lee, Sihoon Lee, Yeun Sun Kim, Ie Byung Park
Diabetes Metab J. 2011;35(2):182-187.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.182
  • 4,441 View
  • 56 Download
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

It is known that diabetes and stress are directly or indirectly related, and that it is important to evaluate stress in patients with diabetes. The relationship between Korean diabetics and diabetes-related stress has never been reported. The objective of this study was to develop a stress questionnaire suitable for use with Korean diabetics and to evaluate its utility.

Methods

This study subjects were 307 Korean diabetics, aged 40 to 74 years old, who visited the Department of Endocrinology and Metabolism at Gachon University Gil Hospital, Yeungnam University Medical Center, and Inha University Hospital in Korea between March 2006 and February 2008. We developed a Korean version of Polonsky's Problem Areas in Diabetes (PAID) stress questionnaire (PAID-K) and used it to assess degrees of stress in our sample of Korean patients. We evaluated the utility of the questionnaire and analyzed the relationships between clinical characteristics of the study subjects and degrees of stress.

Results

Cronbach's alpha for PAID-K was 0.95, and PAID-K scores were significantly correlated with Hypoglycemia Fear Survey scores (r=0.44, P<0.05) and State Trait Anxiety Inventory-6 scores (r=0.21, P<0.05). PAID-K scores were significantly higher in patients with longer durations of diabetes, patients using insulin, and female patients (P=0.02, P=0.038, and P=0.001, respectively). The score also tended to increase as HbA1c levels increased, except for very high HbA1c levels (above 11%) (P for trend<0.05).

Conclusion

We developed the PAID-K questionnaire and demonstrated its utility to evaluate levels of stress in diabetic patients in Korea.

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    International Journal of Environmental Research and Public Health.2019; 16(13): 2403.     CrossRef
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Association of Educational Level and Socioeconomic Status with Glucose Metabolism.
Young Sil Eom, Sun Mee Yang, Pyung Chun Oh, Jung Hyun Lee, Ki Young Lee, Yeun Sun Kim, Sihoon Lee, Jung Soo Im, Jun Yim, Dae Kyu Oh, Moon Suk Nam, Ie Byung Park
Korean Diabetes J. 2008;32(4):377-385.   Published online August 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.4.377
  • 2,314 View
  • 26 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
The objective of the present study was to examine the association of educational level and socioeconomic status with glucose metabolism including prediabetes. METHODS: This cross-sectional study subjects were 882 (mean age: 51.0 +/- 13.4 years, M:F = 241:641) without diabetes, aged more than 20 years and residing in Whasu 2 dong in Incheon. We classified them into three levels according to their educational level: primary (illiterate or up to elementary school), secondary (middle school or high school) and tertiary (university), and into three levels according to their socioeconomic status by self reported questionnaire: low, middle and high. Subjects were diagnosed as three groups (normal, prediabetes and diabetes) by American Diabetes Association criteria using 75 g oral glucose tolerance test. The association of educational level and socioeconomic status with glucose metabolism was analyzed. RESULTS: The number of normal group was 300 (34.0%), that of prediabetes was 470 (53.3%) and that of diabetes was 112 (12.7%). In women, the proportion of primary educational group was larger than that of secondary educational group in diabetes (Odds ratio [OR] = 1.88; 95% confidence interval [CI]: 1.01-3.51) and larger than that of tertiary educational group in prediabetes ([OR] = 2.00; [CI]: 1.06-3.78). But socioeconomic status did not have the statistical association with glucose metabolism in women. Also both educational level and socioeconomic status had no statistical association with glucose metabolism in men. CONCLUSIONS: The proportion of low educational level is larger in prediabetes and diabetes compared with normal group in women.

Citations

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