Skip Navigation
Skip to contents

Endocrinol Metab : Endocrinology and Metabolism

clarivate
OPEN ACCESS
SEARCH
Search

Previous issues

Page Path
HOME > BROWSE ARTICLES > Previous issues
19 Previous issues
Filter
Filter
Article type
Keywords
Authors
Funded articles
Volume 37(1); February 2022
Prev issue Next issue
Namgok Lecture 2021
Diabetes, Obesity and Metabolism
The Influence of Obesity and Metabolic Health on Vascular Health
Eun-Jung Rhee
Endocrinol Metab. 2022;37(1):1-8.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2022.101
  • 6,788 View
  • 296 Download
  • 14 Web of Science
  • 19 Crossref
AbstractAbstract PDFPubReader   ePub   
The prevalence of obesity is rapidly increasing worldwide. Obesity should not be understood only as the accumulation of fat in the body, but instead as a phenomenon that exerts different effects on our health according to the place of fat deposition and its stability. Obesity is the starting point of most metabolic diseases, such as diabetes, hypertension, metabolic syndrome, sleep apnea, and eventually cardiovascular disease. There are different kinds of obesity, ranging from simple obesity to sarcopenic obesity. The main purpose of intervening to address obesity is to decrease the ultimate consequence of obesity—namely, cardiovascular disease. The main mechanism through which obesity, especially abdominal obesity, increases cardiovascular risk is the obesity-induced derangement of metabolic health, leading to the development of metabolic diseases such as diabetes, non-alcoholic fatty liver disease, and metabolic syndrome, which are the main initiators of vascular damage. In this review, I discuss the influence of various types of obesity on the risk of metabolic diseases, and how these diseases increase cardiovascular disease risk.

Citations

Citations to this article as recorded by  
  • Associations of omega-3 fatty acids vs. fenofibrate with adverse cardiovascular outcomes in people with metabolic syndrome: propensity matched cohort study
    Nam Hoon Kim, Ji Yoon Kim, Jimi Choi, Sin Gon Kim
    European Heart Journal - Cardiovascular Pharmacotherapy.2024; 10(2): 118.     CrossRef
  • Severity of abdominal obesity and cardiometabolic diseases in US adults
    S. Wang, S. Shi, Y. Huang, H. Huang, V.W. Zhong
    Public Health.2024; 227: 154.     CrossRef
  • Anti-obesity effects of fucoidan from Sargassum thunbergii in adipocytes and high fat diet induced obese mice through inhibiting adipogenic specific transcription factor
    Hyo-Geun Lee, H.H.A.C.K. Jayawardhana, Fengqi Yang, D.P. Nagahawaththa, N.M. Liyanage, Kyung-Mo Song, Yun-Sang Choi, Seung-Hong Lee, You-Jin Jeon, Min-Cheol Kang
    Food Science and Human Wellness.2024; 13(3): 1608.     CrossRef
  • Association of a High Healthy Eating Index Diet with Long-Term Visceral Fat Loss in a Large Longitudinal Study
    Sunmin Park
    Nutrients.2024; 16(4): 534.     CrossRef
  • Ancistrocladus tectorius Extract Inhibits Obesity by Promoting Thermogenesis and Mitochondrial Dynamics in High-Fat Diet-Fed Mice
    Minju Kim, Jin Hyub Paik, Hwa Lee, Min Ji Kim, Sang Mi Eum, Soo Yong Kim, Sangho Choi, Ho-Yong Park, Hye Gwang Jeong, Tae-Sook Jeong
    International Journal of Molecular Sciences.2024; 25(7): 3743.     CrossRef
  • Biological Activity Evaluation of Olive, Grape, and Fig at Various Mixing Ratios
    Chan-Hwi Lee, So-Young Lee, Ae-Jung Kim
    Asian Journal of Beauty and Cosmetology.2024; 22(1): 91.     CrossRef
  • Investigation and Comparison of Maternal Pre-Pregnancy Body Mass Index Coupled with Gestational Weight Gain on Maternal–Fetal Complications Based on US and Chinese Guidelines: A Retrospective Study
    Wan-Ju Kung, Hsin-Yi Kuo, Ching-Feng Chang, Yeong-Hwa Zen, Ching-Chiang Lin
    Reproductive Sciences.2024;[Epub]     CrossRef
  • Mechanistic insights into dietary (poly)phenols and vascular dysfunction-related diseases using multi-omics and integrative approaches: Machine learning as a next challenge in nutrition research
    Dragan Milenkovic, Tatjana Ruskovska
    Molecular Aspects of Medicine.2023; 89: 101101.     CrossRef
  • Pharmacological Support for the Treatment of Obesity—Present and Future
    Marcin Kosmalski, Kacper Deska, Bartłomiej Bąk, Monika Różycka-Kosmalska, Tadeusz Pietras
    Healthcare.2023; 11(3): 433.     CrossRef
  • Prioritizing obesity treatment: expanding the role of cardiologists to improve cardiovascular health and outcomes
    Donna H. Ryan, John E. Deanfield, Stephan Jacob
    Cardiovascular Endocrinology & Metabolism.2023; 12(1): e0279.     CrossRef
  • Adipopenia is associated with osteoporosis in community-dwelling non-underweight adults independent of sarcopenia
    Seunghyun Lee, Kyoungmyoung Ko, Sungjae Shin, Hye Sun Park, Namki Hong, Yumie Rhee
    Archives of Osteoporosis.2023;[Epub]     CrossRef
  • Design, synthesis and evaluation of 2-pyrimidinylindole derivatives as anti-obesity agents by regulating lipid metabolism
    Shi-Yao Guo, Li-Yuan Wei, Bing-Bing Song, Yu-Tao Hu, Zhi Jiang, Dan-Dan Zhao, Yao-Hao Xu, Yu-Wei Lin, Shu-Min Xu, Shuo-Bin Chen, Zhi-Shu Huang
    European Journal of Medicinal Chemistry.2023; 260: 115729.     CrossRef
  • Short-Term L-Citrulline Supplementation Does Not Affect Blood Pressure, Pulse Wave Reflection, or Arterial Stiffness at Rest and during Isometric Exercise in Older Males
    Andrea Tryfonos, Filippos Christodoulou, George M. Pamboris, Stephanos Christodoulides, Anastasios A. Theodorou
    Sports.2023; 11(9): 177.     CrossRef
  • Skinfold Thickness as a Cardiometabolic Risk Predictor in Sedentary and Active Adult Populations
    Sughey González-Torres, Luis Miguel Anaya-Esparza, Gabriel Fermín Trigueros del Valle, Edgar Alfonso Rivera-León, Zuamí Villagrán, Sergio Sánchez-Enríquez
    Journal of Personalized Medicine.2023; 13(9): 1326.     CrossRef
  • Impact of COVID-19 Lockdown on Non-Alcoholic Fatty Liver Disease and Insulin Resistance in Adults: A before and after Pandemic Lockdown Longitudinal Study
    Ángel Arturo López-González, Bárbara Altisench Jané, Luis Masmiquel Comas, Sebastiana Arroyo Bote, Hilda María González San Miguel, José Ignacio Ramírez Manent
    Nutrients.2022; 14(14): 2795.     CrossRef
  • Fenofibrate enhances lipid deposition via modulating PPARγ, SREBP-1c, and gut microbiota in ob/ob mice fed a high-fat diet
    Ying Zhang, Xiu-Bin Jia, Yun-Chao Liu, Wen-Qian Yu, Yan-Hong Si, Shou-Dong Guo
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Predictive Roles of Basal Metabolic Rate and Body Water Distribution in Sarcopenia and Sarcopenic Obesity: The link to Carbohydrates
    Lizheng Guan, Tiantian Li, Xuan Wang, Kang Yu, Rong Xiao, Yuandi Xi
    Nutrients.2022; 14(19): 3911.     CrossRef
  • Metabolic risk factors in patients with comorbidity in Ufa primary health care
    O.V. Molchanova, A.V. Mamaeva, A.R. Dunayeva, Z.A. Lust, E.M. Faskhetdinova, R.N. Shepel, D.O. Orlov, L.M. Zhamalov, G.F. Andreeva, O.M. Drapkina
    Profilakticheskaya meditsina.2022; 25(9): 39.     CrossRef
  • Assessment of Vitamin D Levels in Relation to Statin Therapy in Elderly Hypertensive Patients with Comorbidities
    Kinga-Ilona Nyulas, Zsuzsánna Simon-Szabó, Zoltán Preg, Sándor Pál, Arundhati Sharma, Tünde Pál, Márta Germán-Salló, Enikő Nemes-Nagy
    Journal of Interdisciplinary Medicine.2022; 7(4): 88.     CrossRef
Close layer
Review Articles
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
  • 5,406 View
  • 348 Download
  • 9 Web of Science
  • 11 Crossref
AbstractAbstract PDFPubReader   ePub   
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  
  • Sympathetic nerve-enteroendocrine L cell communication modulates GLP-1 release, brain glucose utilization, and cognitive function
    Wenran Ren, Jianhui Chen, Wenjing Wang, Qingqing Li, Xia Yin, Guanglei Zhuang, Hong Zhou, Wenwen Zeng
    Neuron.2024; 112(6): 972.     CrossRef
  • Hypothalamic astrocyte NAD+ salvage pathway mediates the coupling of dietary fat overconsumption in a mouse model of obesity
    Jae Woo Park, Se Eun Park, Wuhyun Koh, Won Hee Jang, Jong Han Choi, Eun Roh, Gil Myoung Kang, Seong Jun Kim, Hyo Sun Lim, Chae Beom Park, So Yeon Jeong, Sang Yun Moon, Chan Hee Lee, Sang Yeob Kim, Hyung Jin Choi, Se Hee Min, C. Justin Lee, Min-Seon Kim
    Nature Communications.2024;[Epub]     CrossRef
  • Efficacy of metformin and electrical pulses in breast cancer MDA-MB-231 cells
    Praveen Sahu, Ignacio G. Camarillo, Raji Sundararajan
    Exploration of Targeted Anti-tumor Therapy.2024; 5(1): 54.     CrossRef
  • Redox imbalance and metabolic defects in the context of Alzheimer disease
    Fabio Di Domenico, Chiara Lanzillotta, Marzia Perluigi
    FEBS Letters.2024;[Epub]     CrossRef
  • 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
Close layer
Diabetes, Obesity and Metabolism
Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus
Jin Yu, Seung-Hwan Lee, Mee Kyoung Kim
Endocrinol Metab. 2022;37(1):26-37.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2022.105
  • 16,600 View
  • 1,139 Download
  • 20 Web of Science
  • 19 Crossref
AbstractAbstract PDFPubReader   ePub   
Guidelines for the management of patients with diabetes have become an important part of clinical practice that improve the quality of care and help establish evidence-based medicine in this field. With rapidly accumulating evidence on various aspects of diabetes care, including landmark clinical trials of treatment agents and newer technologies, timely updates of the guidelines capture the most current state of the field and present a consensus. As a leading academic society, the Korean Diabetes Association publishes practice guidelines biennially and the American Diabetes Association does so annually. In this review, we summarize the key changes suggested in the most recent guidelines. Some of the important updates include treatment algorithms emphasizing comorbid conditions such as atherosclerotic cardiovascular disease, heart failure, and chronic kidney disease in the selection of anti-diabetic agents; wider application of continuous glucose monitoring (CGM), insulin pump technologies and indices derived from CGM such as time in range; more active screening of subjects at high-risk of diabetes; and more detailed individualization in diabetes care. Although there are both similarities and differences among guidelines and some uncertainty remains, these updates provide a good approach for many clinical practitioners who are battling with diabetes.

Citations

Citations to this article as recorded by  
  • Finerenone: Efficacy of a New Nonsteroidal Mineralocorticoid Receptor Antagonist in Treatment of Patients With Chronic Kidney Disease and Type 2 Diabetes
    Subo Dey, Jasmine Garg, Andy Wang, Eva Holzner, William H. Frishman, Wilbert S. Aronow
    Cardiology in Review.2024; 32(3): 285.     CrossRef
  • Use of Diabetes Medications before and after a Heart Failure–Related Hospitalization among Nursing Home Residents
    Tingting Zhang, Andrew R. Zullo, Kaleen (Kaley) N. Hayes, Dae Hyun Kim, Yoojin Lee, Lori A. Daiello, Douglas P. Kiel, Sarah D. Berry
    Journal of the American Medical Directors Association.2024; 25(3): 454.     CrossRef
  • Accuracy and Safety of the 15-Day CareSens Air Continuous Glucose Monitoring System
    Kyung-Soo Kim, Seung-Hwan Lee, Won Sang Yoo, Cheol-Young Park
    Diabetes Technology & Therapeutics.2024; 26(4): 222.     CrossRef
  • Body composition and metabolic syndrome in patients with type 1 diabetes
    Qiong Zeng, Xiao-Jing Chen, Yi-Ting He, Ze-Ming Ma, Yi-Xi Wu, Kun Lin
    World Journal of Diabetes.2024; 15(1): 81.     CrossRef
  • The best internal structure of the Diabetes Quality of Life Measure (DQOL) in Brazilian patients
    Denilson Menezes Almeida, Aldair Darlan Santos-de-Araújo, José Mário Costa Brito Júnior, Marcela Cacere, André Pontes-Silva, Cyrene Piazera Costa, Maria Cláudia Gonçalves, José Márcio Soares Leite, Almir Vieira Dibai-Filho, Daniela Bassi-Dibai
    BMC Public Health.2024;[Epub]     CrossRef
  • Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes
    Mee Kyoung Kim, Kyu Na Lee, Kyungdo Han, Seung-Hwan Lee
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • SGLT2 inhibitors and their possible use in prevention and treatment of neurological diseases
    Mateusz Sobczyk, Daria Żuraw, Paulina Oleksa, Kacper Jasiński, Mikołaj Porzak, Michał Dacka
    Prospects in Pharmaceutical Sciences.2024; 22(1): 16.     CrossRef
  • A nationwide cohort study on diabetes severity and risk of Parkinson disease
    Kyungdo Han, Bongsung Kim, Seung Hwan Lee, Mee Kyoung Kim
    npj Parkinson's Disease.2023;[Epub]     CrossRef
  • Optimal Low-Density Lipoprotein Cholesterol Level for Primary Prevention in Koreans with Type 2 Diabetes Mellitus
    Ji Yoon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2023; 47(1): 42.     CrossRef
  • Efficacy and safety of enavogliflozin versus dapagliflozin added to metformin plus gemigliptin treatment in patients with type 2 diabetes: A double-blind, randomized, comparator-active study: ENHANCE-D study
    Kyung-Soo Kim, Kyung Ah Han, Tae Nyun Kim, Cheol-Young Park, Jung Hwan Park, Sang Yong Kim, Yong Hyun Kim, Kee Ho Song, Eun Seok Kang, Chul Sik Kim, Gwanpyo Koh, Jun Goo Kang, Mi Kyung Kim, Ji Min Han, Nan Hee Kim, Ji Oh Mok, Jae Hyuk Lee, Soo Lim, Sang S
    Diabetes & Metabolism.2023; 49(4): 101440.     CrossRef
  • Impact of mental disorders on the risk of heart failure among Korean patients with diabetes: a cohort study
    Tae Kyung Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Chronic disease management program applied to type 2 diabetes patients and prevention of diabetic complications: a retrospective cohort study using nationwide data
    Min Kyung Hyun, Jang Won Lee, Seung-Hyun Ko
    BMC Public Health.2023;[Epub]     CrossRef
  • Innovative Therapeutic Approaches in Non-Alcoholic Fatty Liver Disease: When Knowing Your Patient Is Key
    Marta Alonso-Peña, Maria Del Barrio, Ana Peleteiro-Vigil, Carolina Jimenez-Gonzalez, Alvaro Santos-Laso, Maria Teresa Arias-Loste, Paula Iruzubieta, Javier Crespo
    International Journal of Molecular Sciences.2023; 24(13): 10718.     CrossRef
  • Association between type 2 diabetes mellitus and depression among Korean midlife women: a cross-sectional analysis study
    You Lee Yang, Eun-Ok Im, Yunmi Kim
    BMC Nursing.2023;[Epub]     CrossRef
  • Access to novel anti-diabetic agents in resource limited settings: A brief commentary
    Poobalan Naidoo, Kiolan Naidoo, Sumanth Karamchand, Rory F Leisegang
    World Journal of Diabetes.2023; 14(7): 939.     CrossRef
  • Comparative efficacy and safety profile of once-weekly Semaglutide versus once-daily Sitagliptin as an add-on to metformin in patients with type 2 diabetes: a systematic review and meta-analysis
    Tirath Patel, Fnu Nageeta, Rohab Sohail, Tooba Shaukat Butt, Shyamala Ganesan, Fnu Madhurita, Muhammad Ahmed, Mahrukh Zafar, Wirda Zafar, Mohammad Uzair Zaman, Giustino Varrassi, Mahima Khatri, Satesh Kumar
    Annals of Medicine.2023;[Epub]     CrossRef
  • Bexagliflozin, a sodium-glucose cotransporter 2 (SGLT2) inhibitor, for improvement of glycemia in type 2 diabetes mellitus: a systematic review and meta-analysis
    Sagar Dholariya, Siddhartha Dutta, Ragini Singh, Deepak Parchwani, Amit Sonagra, Mehul Kaliya
    Expert Opinion on Pharmacotherapy.2023; 24(18): 2187.     CrossRef
  • Analysis of the management and therapeutic performance of diabetes mellitus employing special target
    Hong-Yan Sun, Xiao-Yan Lin
    World Journal of Diabetes.2023; 14(12): 1721.     CrossRef
  • Zinc Chloride Enhances the Antioxidant Status, Improving the Functional and Structural Organic Disturbances in Streptozotocin-Induced Diabetes in Rats
    Irina Claudia Anton, Liliana Mititelu-Tartau, Eliza Gratiela Popa, Mihaela Poroch, Vladimir Poroch, Ana-Maria Pelin, Liliana Lacramioara Pavel, Ilie Cristian Drochioi, Gina Eosefina Botnariu
    Medicina.2022; 58(11): 1620.     CrossRef
Close layer
Diabetes, Obesity and Metabolism
State-of-the-Art Overview of the Pharmacological Treatment of Non-Alcoholic Steatohepatitis
Yongin Cho, Yong-ho Lee
Endocrinol Metab. 2022;37(1):38-52.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2022.102
  • 4,213 View
  • 282 Download
  • 2 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   ePub   
Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide, and non-alcoholic steatohepatitis (NASH), a subtype of NAFLD, can progress to cirrhosis, hepatocellular carcinoma, and death. Nevertheless, the current treatment for NAFLD/NASH is limited to lifestyle modifications, and no drugs are currently officially approved as treatments for NASH. Many global pharmaceutical companies are pursuing the development of medications for the treatment of NASH, and results from phase 2 and 3 clinical trials have been published in recent years. Here, we review data from these recent clinical trials and reports on the efficacy of newly developed antidiabetic drugs in NASH treatment.

Citations

Citations to this article as recorded by  
  • Association of non-alcoholic fatty liver disease with cardiovascular disease and all cause death in patients with type 2 diabetes mellitus: nationwide population based study
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    BMJ.2024; : e076388.     CrossRef
  • Mitochondrial Quality Control: Its Role in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
    Soyeon Shin, Jaeyoung Kim, Ju Yeon Lee, Jun Kim, Chang-Myung Oh
    Journal of Obesity & Metabolic Syndrome.2023; 32(4): 289.     CrossRef
  • Sodium-glucose cotransporter 2 inhibitors for non-alcoholic fatty liver disease in patients with type 2 diabetes mellitus: A nationwide propensity-score matched cohort study
    Jinyoung Kim, Kyungdo Han, Bongsung Kim, Ki-Hyun Baek, Ki-Ho Song, Mee Kyoung Kim, Hyuk-Sang Kwon
    Diabetes Research and Clinical Practice.2022; 194: 110187.     CrossRef
Close layer
Thyroid
Development of Metabolic Synthetic Lethality and Its Implications for Thyroid Cancer
Sang-Hyeon Ju, Seong Eun Lee, Yea Eun Kang, Minho Shong
Endocrinol Metab. 2022;37(1):53-61.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2022.1402
  • 3,328 View
  • 185 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract PDFPubReader   ePub   
Cancer therapies targeting genetic alterations are a topic of great interest in the field of thyroid cancer, which frequently harbors mutations in the RAS, RAF, and RET genes. Unfortunately, U.S. Food and Drug Administration-approved BRAF inhibitors have relatively low therapeutic efficacy against BRAF-mutant thyroid cancer; in addition, the cancer often acquires drug resistance, which prevents effective treatment. Recent advances in genomics and transcriptomics are leading to a more complete picture of the range of mutations, both driver and messenger, present in thyroid cancer. Furthermore, our understanding of cancer suggests that oncogenic mutations drive tumorigenesis and induce rewiring of cancer cell metabolism, which promotes survival of mutated cells. Synthetic lethality (SL) is a method of neutralizing mutated genes that were previously considered untargetable by traditional genotype-targeted treatments. Because these metabolic events are specific to cancer cells, we have the opportunity to develop new therapies that target tumor cells specifically without affecting healthy tissue. Here, we describe developments in metabolism-based cancer therapy, focusing on the concept of metabolic SL in thyroid cancer. Finally, we discuss the essential implications of metabolic reprogramming and its role in the future direction of SL for thyroid cancer.

Citations

Citations to this article as recorded by  
  • Toward Systems-Level Metabolic Analysis in Endocrine Disorders and Cancer
    Aliya Lakhani, Da Hyun Kang, Yea Eun Kang, Junyoung O. Park
    Endocrinology and Metabolism.2023; 38(6): 619.     CrossRef
  • The Role of De novo Serine Biosynthesis from Glucose in Papillary Thyroid Cancer
    Seong Eun Lee, Na Rae Choi, Jin-Man Kim, Mi Ae Lim, Bon Seok Koo, Yea Eun Kang
    International Journal of Thyroidology.2023; 16(2): 175.     CrossRef
Close layer
Editorial
Diabetes, Obesity and Metabolism
Drug Repositioning: Exploring New Indications for Existing Drug-Disease Relationships
Hun-Sung Kim
Endocrinol Metab. 2022;37(1):62-64.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2022.1403
  • 2,598 View
  • 170 Download
  • 1 Web of Science
  • 2 Crossref
PDFPubReader   ePub   

Citations

Citations to this article as recorded by  
  • Drug Repositioning Using Computer-aided Drug Design (CADD)
    Sona Rawat, Kanmani Subramaniam, Selva Kumar Subramanian, Saravanan Subbarayan, Subramanian Dhanabalan, Sashik Kumar Madurai Chidambaram, Balasubramaniam Stalin, Arpita Roy, Nagaraj Nagaprasad, Mahalingam Aruna, Jule Leta Tesfaye, Bayissa Badassa, Ramaswa
    Current Pharmaceutical Biotechnology.2024; 25(3): 301.     CrossRef
  • Magic bullets, magic shields, and antimicrobials in between
    Praveen Prathapan
    Pharmaceutical Science Advances.2023; 1(1): 100002.     CrossRef
Close layer
Original Articles
Diabetes, Obesity and Metabolism
Big Data Articles (National Health Insurance Service Database)
Drug Repositioning Using Temporal Trajectories of Accompanying Comorbidities in Diabetes Mellitus
Namgi Park, Ja Young Jeon, Eugene Jeong, Soyeon Kim, Dukyong Yoon
Endocrinol Metab. 2022;37(1):65-73.   Published online February 8, 2022
DOI: https://doi.org/10.3803/EnM.2021.1275
  • 3,692 View
  • 163 Download
  • 2 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Most studies of systematic drug repositioning have used drug-oriented data such as chemical structures, gene expression patterns, and adverse effect profiles. As it is often difficult to prove repositioning candidates’ effectiveness in real-world clinical settings, we used patient-centered real-world data for screening repositioning candidate drugs for multiple diseases simultaneously, especially for diabetic complications.
Methods
Using the National Health Insurance Service-National Sample Cohort (2002 to 2013), we analyzed claims data of 43,048 patients with type 2 diabetes mellitus (age ≥40 years). To find repositioning candidate disease-drug pairs, a nested case-control study was used for 29 pairs of diabetic complications and the drugs that met our criteria. To validate this study design, we conducted an external validation for a selected candidate pair using electronic health records.
Results
We found 24 repositioning candidate disease-drug pairs. In the external validation study for the candidate pair cerebral infarction and glycopyrrolate, we found that glycopyrrolate was associated with decreased risk of cerebral infarction (hazard ratio, 0.10; 95% confidence interval, 0.02 to 0.44).
Conclusion
To reduce risks of diabetic complications, it would be possible to consider these candidate drugs instead of other drugs, given the same indications. Moreover, this methodology could be applied to diseases other than diabetes to discover their repositioning candidates, thereby offering a new approach to drug repositioning.

Citations

Citations to this article as recorded by  
  • Drug Repositioning: Exploring New Indications for Existing Drug-Disease Relationships
    Hun-Sung Kim
    Endocrinology and Metabolism.2022; 37(1): 62.     CrossRef
Close layer
Diabetes, Obesity and Metabolism
Dulaglutide Ameliorates Palmitic Acid-Induced Hepatic Steatosis by Activating FAM3A Signaling Pathway
Jinmi Lee, Seok-Woo Hong, Min-Jeong Kim, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
Endocrinol Metab. 2022;37(1):74-83.   Published online February 9, 2022
DOI: https://doi.org/10.3803/EnM.2021.1293
  • 4,808 View
  • 234 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Dulaglutide, a long-acting glucagon-like peptide-1 receptor agonist (GLP-1RA), has been shown to reduce body weight and liver fat content in patients with type 2 diabetes. Family with sequence similarity 3 member A (FAM3A) plays a vital role in regulating glucose and lipid metabolism. The aim of this study was to determine the mechanisms by which dulaglutide protects against hepatic steatosis in HepG2 cells treated with palmitic acid (PA).
Methods
HepG2 cells were pretreated with 400 μM PA for 24 hours, followed by treatment with or without 100 nM dulaglutide for 24 hours. Hepatic lipid accumulation was determined using Oil red O staining and triglyceride (TG) assay, and the expression of lipid metabolism-associated factor was analyzed using quantitative real time polymerase chain reaction and Western blotting.
Results
Dulaglutide significantly decreased hepatic lipid accumulation and reduced the expression of genes associated with lipid droplet binding proteins, de novo lipogenesis, and TG synthesis in PA-treated HepG2 cells. Dulaglutide also increased the expression of proteins associated with lipolysis and fatty acid oxidation and FAM3A in PA-treated cells. However, exendin-(9-39), a GLP-1R antagonist, reversed the expression of FAM3A, and fatty acid oxidation-associated factors increased due to dulaglutide. In addition, inhibition of FAM3A by siRNA attenuated the reducing effect of dulaglutide on TG content and its increasing effect on regulation of fatty acid oxidation.
Conclusion
These results suggest that dulaglutide could be used therapeutically for improving nonalcoholic fatty liver disease, and its effect could be mediated in part via upregulation of FAM3A expression through a GLP-1R-dependent pathway.

Citations

Citations to this article as recorded by  
  • GLP-1/GLP-1RAs: New Options for the Drug Treatment of NAFLD
    Haoran Jiang, Linquan Zang
    Current Pharmaceutical Design.2024; 30(2): 100.     CrossRef
  • GLP-1 Receptor Agonists in Non-Alcoholic Fatty Liver Disease: Current Evidence and Future Perspectives
    Riccardo Nevola, Raffaella Epifani, Simona Imbriani, Giovanni Tortorella, Concetta Aprea, Raffaele Galiero, Luca Rinaldi, Raffaele Marfella, Ferdinando Carlo Sasso
    International Journal of Molecular Sciences.2023; 24(2): 1703.     CrossRef
  • FAM3A mediates the phenotypic switch of human aortic smooth muscle cells stimulated with oxidised low-density lipoprotein by influencing the PI3K-AKT pathway
    Lei Yang, Baoshun Du, Shitao Zhang, Maode Wang
    In Vitro Cellular & Developmental Biology - Animal.2023; 59(6): 431.     CrossRef
  • ATP Secretion and Metabolism in Regulating Pancreatic Beta Cell Functions and Hepatic Glycolipid Metabolism
    Jing Li, Han Yan, Rui Xiang, Weili Yang, Jingjing Ye, Ruili Yin, Jichun Yang, Yujing Chi
    Frontiers in Physiology.2022;[Epub]     CrossRef
  • Targeted therapeutics and novel signaling pathways in non-alcohol-associated fatty liver/steatohepatitis (NAFL/NASH)
    Xiaohan Xu, Kyle L. Poulsen, Lijuan Wu, Shan Liu, Tatsunori Miyata, Qiaoling Song, Qingda Wei, Chenyang Zhao, Chunhua Lin, Jinbo Yang
    Signal Transduction and Targeted Therapy.2022;[Epub]     CrossRef
Close layer
Diabetes, Obesity and Metabolism
Human Leukocyte Antigens and Biomarkers in Type 1 Diabetes Mellitus Induced by Immune-Checkpoint Inhibitors
Hidefumi Inaba, Yosuke Kaido, Saya Ito, Tomonao Hirobata, Gen Inoue, Takakazu Sugita, Yuki Yamamoto, Masatoshi Jinnin, Hiroaki Kimura, Tomoko Kobayashi, Shintaro Iwama, Hiroshi Arima, Takaaki Matsuoka
Endocrinol Metab. 2022;37(1):84-95.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2021.1282
  • 4,147 View
  • 158 Download
  • 16 Web of Science
  • 16 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Type 1 diabetes mellitus induced by immune-checkpoint inhibitors (ICI-T1DM) is a rare critical entity. However, the etiology of ICI-T1DM remains unclear.
Methods
In order to elucidate risk factors for ICI-T1DM, we evaluated the clinical course and immunological status of patients with ICI-T1DM who had been diagnosed during 2016 to 2021.
Results
Seven of 871 (0.8%, six men and one woman) patients developed ICI-T1DM. We revealed that the allele frequencies of human leukocyte antigen (HLA)-DPA1*02:02 and DPB1*05:01 were significantly higher in the patients with ICI-T1DM In comparison to the controls who received ICI (11/14 vs. 10/26, P=0.022; 11/14 vs. 7/26, P=0.0027, respectively). HLA-DRB1*04:05, which has been found to be a T1DM susceptibility allele in Asians, was also observed as a high-risk allele for ICI-T1DM. The significance of the HLA-DPB1*05:01 and DRB1*04:05 alleles was confirmed by an analysis of four additional patients. The absolute/relative neutrophil count, neutrophils-lymphocyte ratio, and neutrophil-eosinophil ratio increased, and the absolute lymphocyte count and absolute/relative eosinophil count decreased at the onset as compared with 6 weeks before. In two patients, alterations in cytokines and chemokines were found at the onset.
Conclusion
Novel high-risk HLA alleles and haplotypes were identified in ICI-T1DM, and peripheral blood factors may be utilized as biomarkers.

Citations

Citations to this article as recorded by  
  • Type 1 diabetes mellitus affected by potential toxicity from long-term use of nivolumab
    Yuma Motomura, Shin Urai, Yushi Hirota, Naoki Takegawa, Hironori Bando, Masaaki Yamamoto, Hidenori Fukuoka, Masahiro Tsuda, Wataru Ogawa
    Diabetology International.2024; 15(1): 130.     CrossRef
  • Review – The impact of pharmacogenetics on the outcome of immune checkpoint inhibitors
    Karlijn de Joode, Niels Heersche, Edwin A. Basak, Sander Bins, Astrid A.M. van der Veldt, Ron H.N. van Schaik, Ron H.J. Mathijssen
    Cancer Treatment Reviews.2024; 122: 102662.     CrossRef
  • Reaching the Diagnosis of Checkpoint Inhibitor-Induced Diabetes Mellitus in Different Clinical Scenarios: A Real-World Application of Updated Diagnostic Criteria
    Anna Angelousi, Dimitrios C. Ziogas, Vasiliki Siampanopoulou, Chrysoula Mytareli, Amalia Anastasopoulou, George Lyrarakis, Helen Gogas
    Diseases.2024; 12(2): 40.     CrossRef
  • Non-Invasive Predictive Biomarkers for Immune-Related Adverse Events Due to Immune Checkpoint Inhibitors
    Ben Ponvilawan, Abdul Wali Khan, Janakiraman Subramanian, Dhruv Bansal
    Cancers.2024; 16(6): 1225.     CrossRef
  • A case of rapidly progressive insulin-dependent diabetes mellitus without islet autoantibodies developed over two years after the first dose of nivolumab
    Kota Nishihama, Yuko Okano, Chisa Inoue, Kanako Maki, Kazuhito Eguchi, Soichiro Tanaka, Atsuro Takeshita, Mei Uemura, Taro Yasuma, Toshinari Suzuki, Esteban C. Gabazza, Yutaka Yano
    Diabetology International.2024;[Epub]     CrossRef
  • A single center case series of immune checkpoint inhibitor-induced type 1 diabetes mellitus, patterns of disease onset and long-term clinical outcome
    John Marsiglio, Jordan P. McPherson, Magdalena Kovacsovics-Bankowski, Joanne Jeter, Christos Vaklavas, Umang Swami, Douglas Grossmann, Alyssa Erickson-Wayman, Heloisa P. Soares, Katie Kerrigan, Berit Gibson, Jennifer Anne Doherty, John Hyngstrom, Sheetal
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Predictive Biomarkers for Immune-Related Endocrinopathies following Immune Checkpoint Inhibitors Treatment
    Almog Shalit, Panagiotis Sarantis, Evangelos Koustas, Eleni-Myrto Trifylli, Dimitris Matthaios, Michalis V. Karamouzis
    Cancers.2023; 15(2): 375.     CrossRef
  • Predictive Biomarkers for Checkpoint Inhibitor Immune-Related Adverse Events
    Iñigo Les, Mireia Martínez, Inés Pérez-Francisco, María Cabero, Lucía Teijeira, Virginia Arrazubi, Nuria Torrego, Ana Campillo-Calatayud, Iñaki Elejalde, Grazyna Kochan, David Escors
    Cancers.2023; 15(5): 1629.     CrossRef
  • Amino acid polymorphisms in human histocompatibility leukocyte antigen class II and proinsulin epitope have impacts on type 1 diabetes mellitus induced by immune-checkpoint inhibitors
    Hidefumi Inaba, Shuhei Morita, Daisuke Kosugi, Yuki Asai, Yosuke Kaido, Saya Ito, Tomonao Hirobata, Gen Inoue, Yuki Yamamoto, Masatoshi Jinnin, Hiroaki Kimura, Masao Ota, Yuko Okudaira, Hiroyasu Nakatani, Tomoko Kobayashi, Shintaro Iwama, Hiroshi Arima, T
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Clinical characteristics and human leukocyte antigens in patients with immune checkpoint inhibitor-induced type 1 diabetes and pituitary dysfunction: a single center prospective study
    Natsuko Hara, Hirotsugu Suwanai, Fumiyoshi Yakou, Keitaro Ishii, Hajime Iwasaki, Hironori Abe, Jumpei Shikuma, Hiroyuki Sakai, Takashi Miwa, Ryo Suzuki
    Endocrine.2023; 81(3): 477.     CrossRef
  • Autoimmunity in immune checkpoint inhibitor‐induced immune‐related adverse events: A focus on autoimmune skin toxicity and pneumonitis
    Fiamma Berner, Lukas Flatz
    Immunological Reviews.2023; 318(1): 37.     CrossRef
  • Prediction-based prompt levothyroxine replacement to prevent a hypothyroid state after immune-related adverse events involving the thyroid gland
    Ichiro Yamauchi, Takuro Hakata, Taku Sugawa, Daisuke Kosugi, Haruka Fujita, Kentaro Okamoto, Yohei Ueda, Toshihito Fujii, Daisuke Taura, Norio Harada, Nobuya Inagaki
    Endocrine Journal.2023; 70(10): 987.     CrossRef
  • Key Determinants of Immune-Mediated Adverse Reactions to Oncology Drugs
    Yihan Zhou, Shan Ding
    Cancers.2023; 15(23): 5622.     CrossRef
  • Risk factors and predictors of immune-related adverse events: implications for patients with non-small cell lung cancer
    Majd Issa, Joy Tang, Yizhen Guo, Chris Coss, Thomas A. Mace, Jason Bischof, Mitch Phelps, Carolyn J Presley, Dwight H Owen
    Expert Review of Anticancer Therapy.2022; 22(8): 861.     CrossRef
  • Risk Factors and Biomarkers for Immune-Related Adverse Events: A Practical Guide to Identifying High-Risk Patients and Rechallenging Immune Checkpoint Inhibitors
    Adithya Chennamadhavuni, Laith Abushahin, Ning Jin, Carolyn J. Presley, Ashish Manne
    Frontiers in Immunology.2022;[Epub]     CrossRef
  • Flash Glucose Monitoring and Diabetes Mellitus Induced by Immune Checkpoint Inhibitors: An Approach to Clinical Practice
    Pablo Rodríguez de Vera-Gómez, Ana Piñar-Gutiérrez, Raquel Guerrero-Vázquez, Virginia Bellido, Cristóbal Morales-Portillo, María Pilar Sancho-Márquez, Pablo Espejo-García, Noelia Gros-Herguido, Gema López-Gallardo, María Asunción Martínez-Brocca, Alfonso
    Journal of Diabetes Research.2022; 2022: 1.     CrossRef
Close layer
Diabetes, Obesity and Metabolism
EW-7197 Attenuates the Progression of Diabetic Nephropathy in db/db Mice through Suppression of Fibrogenesis and Inflammation
Kyung Bong Ha, Weerapon Sangartit, Ah Reum Jeong, Eun Soo Lee, Hong Min Kim, Soyeon Shim, Upa Kukongviriyapan, Dae-Kee Kim, Eun Young Lee, Choon Hee Chung
Endocrinol Metab. 2022;37(1):96-111.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2021.1305
  • 3,916 View
  • 179 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
Diabetic nephropathy (DN) is characterized by albuminuria and accumulation of extracellular matrix (ECM) in kidney. Transforming growth factor-β (TGF-β) plays a central role in promoting ECM accumulation. We aimed to examine the effects of EW-7197, an inhibitor of TGF-β type 1 receptor kinase (ALK5), in retarding the progression of DN, both in vivo, using a diabetic mouse model (db/db mice), and in vitro, in podocytes and mesangial cells.
Methods
In vivo study: 8-week-old db/db mice were orally administered EW-7197 at a dose of 5 or 20 mg/kg/day for 10 weeks. Metabolic parameters and renal function were monitored. Glomerular histomorphology and renal protein expression were evaluated by histochemical staining and Western blot analyses, respectively. In vitro study: DN was induced by high glucose (30 mM) in podocytes and TGF-β (2 ng/mL) in mesangial cells. Cells were treated with EW-7197 (500 nM) for 24 hours and the mechanism associated with the attenuation of DN was investigated.
Results
Enhanced albuminuria and glomerular morphohistological changes were observed in db/db compared to that of the nondiabetic (db/m) mice. These alterations were associated with the activation of the TGF-β signaling pathway. Treatment with EW-7197 significantly inhibited TGF-β signaling, inflammation, apoptosis, reactive oxygen species, and endoplasmic reticulum stress in diabetic mice and renal cells.
Conclusion
EW-7197 exhibits renoprotective effect in DN. EW-7197 alleviates renal fibrosis and inflammation in diabetes by inhibiting downstream TGF-β signaling, thereby retarding the progression of DN. Our study supports EW-7197 as a therapeutically beneficial compound to treat DN.

Citations

Citations to this article as recorded by  
  • TGF-β signaling in health, disease, and therapeutics
    Ziqin Deng, Tao Fan, Chu Xiao, He Tian, Yujia Zheng, Chunxiang Li, Jie He
    Signal Transduction and Targeted Therapy.2024;[Epub]     CrossRef
  • Oxidative stress and inflammation in diabetic nephropathy: role of polyphenols
    Qi Jin, Tongtong Liu, Yuan Qiao, Donghai Liu, Liping Yang, Huimin Mao, Fang Ma, Yuyang Wang, Liang Peng, Yongli Zhan
    Frontiers in Immunology.2023;[Epub]     CrossRef
  • Beneficial Effects of a Curcumin Derivative and Transforming Growth Factor-β Receptor I Inhibitor Combination on Nonalcoholic Steatohepatitis
    Kyung Bong Ha, Eun Soo Lee, Na Won Park, Su Ho Jo, Soyeon Shim, Dae-Kee Kim, Chan Mug Ahn, Choon Hee Chung
    Diabetes & Metabolism Journal.2023; 47(4): 500.     CrossRef
Close layer
Diabetes, Obesity and Metabolism
Big Data Articles (National Health Insurance Service Database)
Risk and Risk Factors for Postpartum Type 2 Diabetes Mellitus in Women with Gestational Diabetes: A Korean Nationwide Cohort Study
Mi Jin Choi, Jimi Choi, Chae Weon Chung
Endocrinol Metab. 2022;37(1):112-123.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2021.1276
  • 4,004 View
  • 170 Download
  • 3 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There are differences in risk and risk factor findings of postpartum type 2 diabetes mellitus (T2DM) after gestational diabetes depending on study design and subjects of previous studies. This study aimed to assess these risk and risk factors more accurately through a population-based study to provide basic data for prevention strategies.
Methods
This open retrospective cohort included data of 419,101 women with gestational diabetes and matched 1,228,802 control women who delivered between 2004 and 2016 from the South Korea National Health Information Database of the National Health Insurance Service. Following 14 (median 5.9) years of follow-up, the incidence and hazard ratio (HR) of postpartum T2DM were evaluated using Kaplan-Meier curves and Cox proportional regression models.
Results
The incidence and HR of postpartum T2DM in women with gestational diabetes (compared to women without gestational diabetes) after the 14-year follow-up was 21.3% and 2.78 (95% confidence interval [CI], 2.74 to 2.82), respectively. Comorbid obesity (body mass index [BMI] ≥25 kg/m2) increased postpartum T2DM risk 7.59 times (95% CI, 7.33 to 7.86). Significant risk factors for postpartum T2DM were fasting glucose level, BMI, age, family history of diabetes, hypertension, and insulin use during pregnancy.
Conclusion
This population-based study showed higher postpartum T2DM risk in women with gestational diabetes than in those without, which was further increased by comorbid obesity. BMI and fasting glucose level were important postpartum risk factors. The management of obesity and glycemic control may be important strategies to prevent the incidence of diabetes after delivery.

Citations

Citations to this article as recorded by  
  • Antenatal factors and risk of postpartum hyperglycemia in women with gestational diabetes mellitus: A central India prospective cohort study
    Nilajkumar Bagde, Madhuri Bagde, Vijayalakshmi Shanbhag, Pragati Trigunait, Nagma Sheikh, Sarita Agrawal
    Journal of Family Medicine and Primary Care.2024; 13(1): 59.     CrossRef
  • Integration of nutrigenomics, melatonin, serotonin and inflammatory cytokines in the pathophysiology of pregnancy-specific urinary incontinence in women with gestational diabetes mellitus
    Danielle Cristina Honorio França, Eduardo Luzía França, Luis Sobrevia, Angélica Mércia Pascon Barbosa, Adenilda Cristina Honorio-França, Marilza Vieira Cunha Rudge
    Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.2023; 1869(6): 166737.     CrossRef
  • Risk factors associated with early postpartum glucose intolerance in women with a history of gestational diabetes mellitus: a systematic review and meta-analysis
    Zhe Liu, Qianghuizi Zhang, Leyang Liu, Weiwei Liu
    Endocrine.2023; 82(3): 498.     CrossRef
Close layer
Adrenal Gland
Adrenal Morphology as an Indicator of Long-Term Disease Control in Adults with Classic 21-Hydroxylase Deficiency
Taek Min Kim, Jung Hee Kim, Han Na Jang, Man Ho Choi, Jeong Yeon Cho, Sang Youn Kim
Endocrinol Metab. 2022;37(1):124-137.   Published online February 8, 2022
DOI: https://doi.org/10.3803/EnM.2021.1278
  • 4,194 View
  • 125 Download
  • 6 Web of Science
  • 6 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
Monitoring adults with classical 21-hydroxylase deficiency (21OHD) is challenging due to variation in clinical and laboratory settings. Moreover, guidelines for adrenal imaging in 21OHD are not yet available. We evaluated the relationship between adrenal morphology and disease control status in classical 21OHD.
Methods
This retrospective, cross-sectional study included 90 adult 21OHD patients and 270 age- and sex-matched healthy controls. We assessed adrenal volume, width, and tumor presence using abdominal computed tomography and evaluated correlations of adrenal volume and width with hormonal status. We investigated the diagnostic performance of adrenal volume and width for identifying well-controlled status in 21OHD patients (17α-hydroxyprogesterone [17-OHP] <10 ng/mL).
Results
The adrenal morphology of 21OHD patients showed hypertrophy (45.6%), normal size (42.2%), and hypotrophy (12.2%). Adrenal tumors were detected in 12 patients (13.3%). The adrenal volume and width of 21OHD patients were significantly larger than those of controls (18.2±12.2 mL vs. 7.1±2.0 mL, 4.7±1.9 mm vs. 3.3±0.5 mm, P<0.001 for both). The 17-OHP and androstenedione levels were highest in patients with adrenal hypertrophy, followed by those with normal adrenal glands and adrenal hypotrophy (P<0.05 for both). Adrenal volume and width correlated positively with adrenocorticotropic hormone, 17-OHP, 11β-hydroxytestosterone, progesterone sulfate, and dehydroepiandrosterone sulfate in both sexes (r=0.33–0.95, P<0.05 for all). For identifying well-controlled patients, the optimal cut-off values of adrenal volume and width were 10.7 mL and 4 mm, respectively (area under the curve, 0.82–0.88; P<0.001 for both).
Conclusion
Adrenal volume and width may be reliable quantitative parameters for monitoring patients with classical 21OHD.

Citations

Citations to this article as recorded by  
  • Long‐term health consequences of congenital adrenal hyperplasia
    Riccardo Pofi, Xiaochen Ji, Nils P. Krone, Jeremy W. Tomlinson
    Clinical Endocrinology.2023;[Epub]     CrossRef
  • Landscape of Adrenal Tumours in Patients with Congenital Adrenal Hyperplasia
    Mara Carsote, Ana-Maria Gheorghe, Claudiu Nistor, Alexandra-Ioana Trandafir, Oana-Claudia Sima, Anca-Pati Cucu, Adrian Ciuche, Eugenia Petrova, Adina Ghemigian
    Biomedicines.2023; 11(11): 3081.     CrossRef
  • Multiplexed Serum Steroid Profiling Reveals Metabolic Signatures of Subtypes in Congenital Adrenal Hyperplasia
    Jaeyoon Shim, Chang Ho Ahn, Seung Shin Park, Jongsung Noh, Chaelin Lee, Sang Won Lee, Jung Hee Kim, Man Ho Choi
    Journal of the Endocrine Society.2023;[Epub]     CrossRef
  • Long-Term Outcomes of Congenital Adrenal Hyperplasia
    Anna Nordenström, Svetlana Lajic, Henrik Falhammar
    Endocrinology and Metabolism.2022; 37(4): 587.     CrossRef
  • Congenital adrenal hyperplasia in patients with adrenal tumors: a population-based case–control study
    F. Sahlander, J. Patrova, B. Mannheimer, J. D. Lindh, H. Falhammar
    Journal of Endocrinological Investigation.2022; 46(3): 559.     CrossRef
  • Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia
    Taek Min Kim, Seung Jae Choi, Ji Yeon Ko, Sungwan Kim, Chang Wook Jeong, Jeong Yeon Cho, Sang Youn Kim, Young-Gon Kim
    European Radiology.2022; 33(6): 4292.     CrossRef
Close layer
Adrenal Gland
Big Data Articles (National Health Insurance Service Database)
Epidemiology and Long-Term Adverse Outcomes in Korean Patients with Congenital Adrenal Hyperplasia: A Nationwide Study
Jung Hee Kim, Sunkyu Choi, Young Ah Lee, Juneyoung Lee, Sin Gon Kim
Endocrinol Metab. 2022;37(1):138-147.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2021.1328
  • 3,284 View
  • 148 Download
  • 8 Web of Science
  • 9 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
Previous studies on the epidemiology and complications of congenital adrenal hyperplasia (CAH) were conducted in Western countries and in children/adolescents. We aimed to explore the epidemiology of CAH, as well as the risk of comorbidities and mortality, in a Korean nationwide case-control study.
Methods
CAH patients (n=2,840) were included between 2002 and 2017 from the National Health Insurance Service database and the Rare Intractable Disease program. CAH patients were compared, at a 1:10 ratio, with age-, sex-, and index year-matched controls (n=28,400).
Results
The point prevalence of CAH patients in Korea was 1 in 18,745 persons in 2017. The annual incidence rate declined between 2003 and 2017 from 3.25 to 0.41 per 100,000 persons. CAH patients were at elevated risk for cardiovascular disease (odds ratio [OR], 1.6; 95% confidence interval [CI], 1.4 to 1.9), stroke (OR, 1.7; 95% CI, 1.3 to 2.0), diabetes mellitus (OR, 2.8; 95% CI, 2.6 to 3.1), dyslipidemia (OR, 2.4; 95% CI, 2.2 to 2.6), and psychiatric disorders (OR, 1.5; 95% CI, 1.3 to 1.6). Fracture risk increased in CAH patients aged over 40 years (OR, 1.4; 95% CI, 1.1 to 1.7). CAH patients were at higher risk of mortality than controls (hazard ratio, 1.6; 95% CI, 1.3 to 2.0).
Conclusion
Our nationwide study showed a recent decline in the incidence of CAH and an elevated risk for cardiovascular, metabolic, skeletal, and psychiatric disorders in CAH patients. Lifelong management for comorbidity risk is a crucial component of treating CAH patients.

Citations

Citations to this article as recorded by  
  • Predictors of Cardiovascular Morbidities in Adults With 21-Hydroxylase Deficiency Congenital Adrenal Hyperplasia
    Suranut Charoensri, Richard J Auchus
    The Journal of Clinical Endocrinology & Metabolism.2024; 109(3): e1133.     CrossRef
  • Анализ распространенности и заболеваемости надпочечниковой недостаточностью в мире
    М. Ю. Юкина, Н. Ф. Нуралиева, Е. А. Трошина
    Ateroscleroz.2023; 18(4): 426.     CrossRef
  • Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
    Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
    Endocrinology and Metabolism.2023; 38(1): 10.     CrossRef
  • Long-term cardiometabolic morbidity in young adults with classic 21-hydroxylase deficiency congenital adrenal hyperplasia
    Beatrice Righi, Salma R. Ali, Jillian Bryce, Jeremy W. Tomlinson, Walter Bonfig, Federico Baronio, Eduardo C. Costa, Guilherme Guaragna-Filho, Guy T’Sjoen, Martine Cools, Renata Markosyan, Tania A. S. S. Bachega, Mirela C. Miranda, Violeta Iotova, Henrik
    Endocrine.2023; 80(3): 630.     CrossRef
  • Serum steroid profile captures metabolic phenotypes in adults with classic congenital adrenal hyperplasia
    Chang Ho Ahn, Jaeyoon Shim, Han Na Jang, Young Ah Lee, Sang-Won Lee, Man Ho Choi, Jung Hee Kim
    The Journal of Steroid Biochemistry and Molecular Biology.2023; 234: 106374.     CrossRef
  • Long‐term health consequences of congenital adrenal hyperplasia
    Riccardo Pofi, Xiaochen Ji, Nils P. Krone, Jeremy W. Tomlinson
    Clinical Endocrinology.2023;[Epub]     CrossRef
  • Hyperandrogenism and Cardiometabolic Risk in Pre- and Postmenopausal Women—What Is the Evidence?
    Angelica Lindén Hirschberg
    The Journal of Clinical Endocrinology & Metabolism.2023;[Epub]     CrossRef
  • Multiplexed Serum Steroid Profiling Reveals Metabolic Signatures of Subtypes in Congenital Adrenal Hyperplasia
    Jaeyoon Shim, Chang Ho Ahn, Seung Shin Park, Jongsung Noh, Chaelin Lee, Sang Won Lee, Jung Hee Kim, Man Ho Choi
    Journal of the Endocrine Society.2023;[Epub]     CrossRef
  • Long-Term Outcomes of Congenital Adrenal Hyperplasia
    Anna Nordenström, Svetlana Lajic, Henrik Falhammar
    Endocrinology and Metabolism.2022; 37(4): 587.     CrossRef
Close layer
Calcium & Bone Metabolism
Big Data Articles (National Health Insurance Service Database)
Hip Fracture Risk According to Diabetic Kidney Disease Phenotype in a Korean Population
Seung Eun Lee, Juhwan Yoo, Kyoung-Ah Kim, Kyungdo Han, Han Seok Choi
Endocrinol Metab. 2022;37(1):148-158.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2021.1315
  • 3,438 View
  • 112 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Diabetic kidney disease (DKD) is associated with an elevated risk of fractures. However, little is known about the association between proteinuric or non-proteinuric DKD and the risk of hip fracture. Thus, we investigated the incidence of hip fractures among Korean adults with type 2 diabetes mellitus (T2DM) stratified by DKD phenotype.
Methods
In this retrospective cohort study using the Korean National Health Insurance Service database, patients with T2DM who received at least one general health checkup between 2009 and 2012 were followed until the date of hip fracture, death, or December 31, 2018. We classified the DKD phenotype by proteinuria and estimated glomerular filtration rate (eGFR), as follows: no DKD (PUGFR), proteinuric DKD with normal eGFR (PU+GFR), non-proteinuric DKD with reduced eGFR (PUGFR+), and proteinuric DKD with reduced eGFR (PU+GFR+)
Results
The cumulative incidence of hip fractures was highest in the PU+GFR+ group, followed by the PUGFR+ group and the PU+GFR group. After adjustment for confounding factors, the hazard ratio (HR) for hip fracture was still highest in the PU+GFR+ group. However, the PU+GFR group had a higher HR for hip fracture than the PUGFR+ group (PU+GFR+ : HR, 1.69; 95% confidence interval [CI], 1.57 to 1.81; PU+GFR : HR, 1.37; 95% CI, 1.30 to 1.46; PUGFR+ : HR, 1.20; 95% CI, 1.16 to 1.24 using the PUGFR group as the reference category).
Conclusion
The present study demonstrated that DKD was significantly associated with a higher risk of hip fracture, with proteinuria as a major determinant.

Citations

Citations to this article as recorded by  
  • Proteinuria screening and risk of bone fracture: a retrospective cohort study using a nationwide population-based database
    Akira Okada, Akira Honda, Hideaki Watanabe, Yusuke Sasabuchi, Shotaro Aso, Kayo Ikeda Kurakawa, Masaomi Nangaku, Toshimasa Yamauchi, Hideo Yasunaga, Hirotaka Chikuda, Takashi Kadowaki, Satoko Yamaguchi
    Clinical Kidney Journal.2024;[Epub]     CrossRef
  • Fracture risks associated with sodium-glucose cotransporter-2 inhibitors in type 2 diabetes patients across eGFR and albuminuria categories: A population-based study in Hong Kong
    David Tak Wai Lui, Tingting Wu, Eric Ho Man Tang, Ivan Chi Ho Au, Chi Ho Lee, Yu Cho Woo, Kathryn Choon Beng Tan, Carlos King Ho Wong
    Diabetes Research and Clinical Practice.2023; 197: 110576.     CrossRef
  • Diagnose und Management der Osteoporose bei Diabetes mellitus (Update 2023)
    Christian Muschitz, Alexandra Kautzky-Willer, Yvonne Winhofer, Martina Rauner, Judith Haschka, Daniel Cejka, Robert Wakolbinger-Habel, Peter Pietschmann
    Wiener klinische Wochenschrift.2023; 135(S1): 207.     CrossRef
  • Association between exercise and risk of fractures in new-onset type 2 diabetes: a retrospective cohort study
    Seung Eun Lee, Juhwan Yoo, Bong-Seong Kim, Kyoung-Ah Kim, Kyungdo Han, Han Seok Choi
    Archives of Osteoporosis.2023;[Epub]     CrossRef
  • Two-Year Changes in Diabetic Kidney Disease Phenotype and the Risk of Heart Failure: A Nationwide Population-Based Study in Korea
    Seung Eun Lee, Juhwan Yoo, Han Seok Choi, Kyungdo Han, Kyoung-Ah Kim
    Diabetes & Metabolism Journal.2023; 47(4): 523.     CrossRef
Close layer
Thyroid
Diagnostic Performance of Thyroid Core Needle Biopsy Using the Revised Reporting System: Comparison with Fine Needle Aspiration Cytology
Kwangsoon Kim, Ja Seong Bae, Jeong Soo Kim, So Lyung Jung, Chan Kwon Jung
Endocrinol Metab. 2022;37(1):159-169.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2021.1299
  • 3,779 View
  • 161 Download
  • 7 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We aim to validate the diagnostic performance of thyroid core needle biopsy (CNB) for diagnosing malignancy in clinical settings to align with the changes made in recently updated thyroid CNB guidelines.
Methods
We retrospectively analyzed 1,381 thyroid CNB and 2,223 fine needle aspiration (FNA) samples. The FNA and CNB slides were interpreted according to the Bethesda System for Reporting Thyroid Cytopathology and updated practice guidelines for thyroid CNB, respectively.
Results
Compared to FNA, CNB showed lower rates of inconclusive results: categories I (2.8% vs. 11.2%) and III (1.2% vs. 6.2%), and higher rates of categories II (60.9% vs. 50.4%) and IV (17.5% vs. 2.0%). The upper and lower bounds of the risk of malignancy (ROM) for category IV of CNB were 43.2% and 26.6%, respectively. The CNB subcategory IVb with nuclear atypia had a higher ROM than the subcategory without nuclear atypia (40%–62% vs. 23%–36%). In histologically confirmed cases, there was no significant difference in the diagnostic performance between CNB and FNA for malignancy. However, neoplastic diseases were more frequently detected by CNB than by FNA (88.8% vs. 77.6%, P=0.046). In category IV, there was no difference in unnecessary surgery rate between CNB and FNA (4.7% vs. 6.9%, P=0.6361).
Conclusion
Thyroid CNB decreased the rate of inconclusive results and showed a higher category IV diagnostic rate than FNA. The revised guidelines for thyroid CNB proved to be an excellent reporting system for assessing thyroid nodules.

Citations

Citations to this article as recorded by  
  • Examining the impact of several factors including COVID‐19 on thyroid fine‐needle aspiration biopsy
    Muzaffer Serdar Deniz, Merve Dindar
    Diagnostic Cytopathology.2024; 52(1): 42.     CrossRef
  • Consensus SFE-AFCE-SFMN 2022 sur la prise en charge des nodules thyroïdiens : intérêt et place de la cytologie thyroïdienne
    Myriam Decaussin-Petrucci, Beatrix Cochand Priollet, Emannuelle Leteurtre, Frédérique Albarel, Françoise Borson-Chazot
    Annales de Pathologie.2024; 44(1): 20.     CrossRef
  • A comparative analysis of core needle biopsy and repeat fine needle aspiration in patients with inconclusive initial cytology of thyroid nodules
    Xuejiao Su, Can Yue, Wanting Yang, Buyun Ma
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Preoperative Risk Stratification of Follicular-patterned Thyroid Lesions on Core Needle Biopsy by Histologic Subtyping and RAS Variant-specific Immunohistochemistry
    Meejeong Kim, Sora Jeon, Chan Kwon Jung
    Endocrine Pathology.2023; 34(2): 247.     CrossRef
  • 2023 Korean Thyroid Association Management Guidelines for Patients with Thyroid Nodules
    Young Joo Park, Eun Kyung Lee, Young Shin Song, Soo Hwan Kang, Bon Seok Koo, Sun Wook Kim, Dong Gyu Na, Seung-Kuk Baek, So Won Oh, Min Kyoung Lee, Sang-Woo Lee, Young Ah Lee, Yong Sang Lee, Ji Ye Lee, Dong-Jun Lim, Leehi Joo, Yuh-Seog Jung, Chan Kwon Jung
    International Journal of Thyroidology.2023; 16(1): 1.     CrossRef
  • Reevaluating diagnostic categories and associated malignancy risks in thyroid core needle biopsy
    Chan Kwon Jung
    Journal of Pathology and Translational Medicine.2023; 57(4): 208.     CrossRef
  • A Matched-Pair Analysis of Nuclear Morphologic Features Between Core Needle Biopsy and Surgical Specimen in Thyroid Tumors Using a Deep Learning Model
    Faridul Haq, Andrey Bychkov, Chan Kwon Jung
    Endocrine Pathology.2022; 33(4): 472.     CrossRef
Close layer

Endocrinol Metab : Endocrinology and Metabolism