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Brief Report
Diabetes, Obesity and Metabolism
Growth in Children with HLA-Conferred Susceptibility to Type 1 Diabetes
Liisa Saare, Aleksandr Peet, Vallo Tillmann
Endocrinol Metab. 2022;37(1):175-179.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2021.1262
  • 1,878 View
  • 89 Download
AbstractAbstract PDFPubReader   ePub   CrossRef-TDMCrossref - TDM
The incidence of type 1 diabetes (T1D) is increasing throughout the world. This trend may be explained by the accelerator hypothesis. Our study investigated growth, its biochemical markers, and their associations with the development of diabetes-associated autoantibodies (DAAB) in 219 children with genetic risk for T1D. Subjects were divided into risk groups based on their human leukocyte antigen genotype. Children in the moderate- to high-risk group were significantly taller when corrected to mid-parental height and had a lower insulin-like growth factor 1 (IGF-1)/IGF-1 binding protein (IGFBP-3) molar ratio than those in the low-risk group (corrected height standard deviation score 0.22±0.93 vs. –0.04±0.84, P<0.05; molar ratio 0.199±0.035 vs. 0.211+0.039, P<0.05). Children with DAAB tended to be taller and to have a higher body mass index than those with no DAAB. Our results suggest that the accelerator hypothesis explaining the increasing incidence of T1D may not solely be dependent on environmental factors, but could be partially genetically determined.
Original Articles
Diabetes, Obesity and Metabolism
Increased Risk of Nonalcoholic Fatty Liver Disease in Individuals with High Weight Variability
Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
Endocrinol Metab. 2021;36(4):845-854.   Published online August 27, 2021
DOI: https://doi.org/10.3803/EnM.2021.1098
  • 3,807 View
  • 131 Download
  • 7 Citations
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   CrossRef-TDMCrossref - TDM
Background
Weight loss through lifestyle modification is recommended for patients with nonalcoholic fatty liver disease (NAFLD). Recent studies have suggested that repeated loss and gain of weight is associated with worse health outcomes. This study aimed to examine the association between weight variability and the risk of NAFLD in patients without diabetes.
Methods
We examined the health-checkup data of 30,708 participants who had undergone serial examinations between 2010 and 2014. Weight variability was assessed using coefficient of variation and the average successive variability of weight (ASVW), which was defined as the sum of absolute weight changes between successive years over the 5-year period divided by 4. The participants were classified according to the baseline body mass index and weight difference over 4 years.
Results
On dividing the participants into four groups according to ASVW quartile groups, those in the highest quartile showed a significantly increased risk of NAFLD compared to those in the lowest quartile (odds ratio [OR], 1.89; 95% confidence interval [CI], 1.63 to 2.19). Among participants without obesity at baseline, individuals with high ASVW showed increased risk of NAFLD (OR, 1.80; 95% CI, 1.61 to 2.01). Participants with increased weight over 4 years and high ASVW demonstrated higher risk of NAFLD compared to those with stable weight and low ASVW (OR, 4.87; 95% CI, 4.29 to 5.53).
Conclusion
Regardless of participant baseline obesity status, high weight variability was associated with an increased risk of developing NAFLD. Our results suggest that further effort is required to minimize weight fluctuations after achieving a desirable body weight.

Citations

Citations to this article as recorded by  
  • Weight variability, physical functioning and incident disability in older adults
    Katie J. McMenamin, Tamara B. Harris, Joshua F. Baker
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(4): 1648.     CrossRef
  • 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
    Endocrinology and Metabolism.2022; 37(1): 74.     CrossRef
  • Triglyceride and glucose index is a simple and easy‐to‐calculate marker associated with nonalcoholic fatty liver disease
    Kyung‐Soo Kim, Sangmo Hong, Hong‐Yup Ahn, Cheol‐Young Park
    Obesity.2022; 30(6): 1279.     CrossRef
  • Metabolic (dysfunction)-associated fatty liver disease in individuals of normal weight
    Mohammed Eslam, Hashem B. El-Serag, Sven Francque, Shiv K. Sarin, Lai Wei, Elisabetta Bugianesi, Jacob George
    Nature Reviews Gastroenterology & Hepatology.2022; 19(10): 638.     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
  • Higher Weight Variability Could Bring You a Fatty Liver
    Yeoree Yang, Jae-Hyoung Cho
    Endocrinology and Metabolism.2021; 36(4): 766.     CrossRef
  • Autonomic Imbalance Increases the Risk for Non-alcoholic Fatty Liver Disease
    Inha Jung, Da Young Lee, Mi Yeon Lee, Hyemi Kwon, Eun-Jung Rhee, Cheol-Young Park, Ki-Won Oh, Won-Young Lee, Sung-Woo Park, Se Eun Park
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
Clinical Study
Big Data Articles (National Health Insurance Service Database)
Variabilities in Weight and Waist Circumference and Risk of Myocardial Infarction, Stroke, and Mortality: A Nationwide Cohort Study
Da Hye Kim, Ga Eun Nam, Kyungdo Han, Yang-Hyun Kim, Kye-Yeung Park, Hwan-Sik Hwang, Byoungduck Han, Sung Jung Cho, Seung Jin Jung, Yeo-Joon Yoon, Yong Kyun Roh, Kyung Hwan Cho, Yong Gyu Park
Endocrinol Metab. 2020;35(4):933-942.   Published online December 23, 2020
DOI: https://doi.org/10.3803/EnM.2020.871
  • 4,385 View
  • 104 Download
  • 14 Citations
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   CrossRef-TDMCrossref - TDM
Background
Evidence regarding the association between variabilities in obesity measures and health outcomes is limited. We aimed to examine the association between variabilities in obesity measures and cardiovascular outcomes and all-cause mortality.
Methods
We identified 4,244,460 individuals who underwent health examination conducted by the Korean National Health Insurance Service during 2012, with ≥3 anthropometric measurements between 2009 and 2012. Variabilities in body weight (BW) and waist circumference (WC) were assessed using four indices including variability independent of the mean (VIM). We performed multivariable Cox proportional hazards regression analyses.
Results
During follow-up of 4.4 years, 16,095, 18,957, and 30,200 cases of myocardial infarction (MI), stroke, and all-cause mortality were recorded. Compared to individuals with the lowest quartiles, incrementally higher risks of study outcomes and those of stroke and all-cause mortality were observed among individuals in higher quartiles of VIM for BW and VIM for WC, respectively. The multivariable adjusted hazard ratios and 95% confidence intervals comparing the highest versus lowest quartile groups of VIM for BW were 1.17 (1.12 to 1.22) for MI, 1.20 (1.16 to 1.25) for stroke, and 1.66 (1.60 to 1.71) for all-cause mortality; 1.07 (1.03 to 1.12) for stroke and 1.29 (1.25 to 1.33) for all-cause mortality regarding VIM for WC. These associations were similar with respect to the other indices for variability.
Conclusion
This study revealed positive associations between variabilities in BW and WC and cardiovascular outcomes and allcause mortality. Our findings suggest that variabilities in obesity measures are associated with adverse health outcomes in the general population.

Citations

Citations to this article as recorded by  
  • Weight variability and cardiovascular outcomes: a systematic review and meta-analysis
    Robert J. Massey, Moneeza K. Siddiqui, Ewan R. Pearson, Adem Y. Dawed
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Family history, waist circumference and risk of ischemic stroke: A prospective cohort study among Chinese adults
    Lei Liu, Xiaojia Xue, Hua Zhang, Xiaocao Tian, Yunhui Chen, Yu Guo, Pei Pei, Shaojie Wang, Haiping Duan, Ruqin Gao, Zengchang Pang, Zhengming Chen, Liming Li
    Nutrition, Metabolism and Cardiovascular Diseases.2023; 33(4): 758.     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
  • Weight variability and diabetes complications
    Francesco Prattichizzo, Chiara Frigé, Rosalba La Grotta, Antonio Ceriello
    Diabetes Research and Clinical Practice.2023; 199: 110646.     CrossRef
  • Research on obesity using the National Health Information Database: recent trends
    Eun-Jung Rhee
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35.     CrossRef
  • Weight cycling and risk of clinical adverse events in patients with heart failure with preserved ejection fraction: a post-hoc analysis of TOPCAT
    Yi Tan, Hang Guo, Ning Zhang, Keyang Zheng, Guifang Liu
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Weight variability, physical functioning and incident disability in older adults
    Katie J. McMenamin, Tamara B. Harris, Joshua F. Baker
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(4): 1648.     CrossRef
  • Association between Variability of Metabolic Risk Factors and Cardiometabolic Outcomes
    Min Jeong Park, Kyung Mook Choi
    Diabetes & Metabolism Journal.2022; 46(1): 49.     CrossRef
  • Effects of exercise initiation and smoking cessation after new-onset type 2 diabetes mellitus on risk of mortality and cardiovascular outcomes
    Mee Kyoung Kim, Kyungdo Han, Bongsung Kim, Jinyoung Kim, Hyuk-Sang Kwon
    Scientific Reports.2022;[Epub]     CrossRef
  • Lipid cutoffs for increased cardiovascular disease risk in non-diabetic young people
    Mee Kyoung Kim, Kyungdo Han, Hun-Sung Kim, Kun-Ho Yoon, Seung-Hwan Lee
    European Journal of Preventive Cardiology.2022; 29(14): 1866.     CrossRef
  • Body Mass Index Is Independently Associated with the Presence of Ischemia in Myocardial Perfusion Imaging
    Chrissa Sioka, Paraskevi Zotou, Michail I. Papafaklis, Aris Bechlioulis, Konstantinos Sakellariou, Aidonis Rammos, Evangelia Gkika, Lampros Lakkas, Sotiria Alexiou, Pavlos Kekiopoulos, Katerina K. Naka, Christos Katsouras
    Medicina.2022; 58(8): 987.     CrossRef
  • Waist Circumference and Body Mass Index Variability and Incident Diabetic Microvascular Complications: A Post Hoc Analysis of ACCORD Trial
    Daniel Nyarko Hukportie, Fu-Rong Li, Rui Zhou, Jia-Zhen Zheng, Xiao-Xiang Wu, Xian-Bo Wu
    Diabetes & Metabolism Journal.2022; 46(5): 767.     CrossRef
  • Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
    Sang Youn You, Kyungdo Han, Seung-Hawn Lee, Mee Kyoung Kim
    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
  • Increased Risk of Nonalcoholic Fatty Liver Disease in Individuals with High Weight Variability
    Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
    Endocrinology and Metabolism.2021; 36(4): 845.     CrossRef
Review Article
Obesity and Metabolism
Effects of Cardiovascular Risk Factor Variability on Health Outcomes
Seung-Hwan Lee, Mee Kyoung Kim, Eun-Jung Rhee
Endocrinol Metab. 2020;35(2):217-226.   Published online June 24, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.2.217
  • 8,081 View
  • 172 Download
  • 26 Citations
AbstractAbstract PDFPubReader   ePub   CrossRef-TDMCrossref - TDM
Innumerable studies have suggested “the lower, the better” for cardiovascular risk factors, such as body weight, lipid profile, blood pressure, and blood glucose, in terms of health outcomes. However, excessively low levels of these parameters cause health problems, as seen in cachexia, hypoglycemia, and hypotension. Body weight fluctuation is related to mortality, diabetes, obesity, cardiovascular disease, and cancer, although contradictory findings have been reported. High lipid variability is associated with increased mortality and elevated risks of cardiovascular disease, diabetes, end-stage renal disease, and dementia. High blood pressure variability is associated with increased mortality, myocardial infarction, hospitalization, and dementia, which may be caused by hypotension. Furthermore, high glucose variability, which can be measured by continuous glucose monitoring systems or self-monitoring of blood glucose levels, is associated with increased mortality, microvascular and macrovascular complications of diabetes, and hypoglycemic events, leading to hospitalization. Variability in metabolic parameters could be affected by medications, such as statins, antihypertensives, and hypoglycemic agents, and changes in lifestyle patterns. However, other mechanisms modify the relationships between biological variability and various health outcomes. In this study, we review recent evidence regarding the role of variability in metabolic parameters and discuss the clinical implications of these findings.

Citations

Citations to this article as recorded by  
  • Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
    Hui Chen, Tianjing Zhou, Shaowei Wu, Yaying Cao, Geng Zong, Changzheng Yuan
    BMC Medicine.2023;[Epub]     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
  • Relationship between Short- and Mid-Term Glucose Variability and Blood Pressure Profile Parameters: A Scoping Review
    Elena Vakali, Dimitrios Rigopoulos, Petros C. Dinas, Ioannis-Alexandros Drosatos, Aikaterini G. Theodosiadi, Andriani Vazeou, George Stergiou, Anastasios Kollias
    Journal of Clinical Medicine.2023; 12(6): 2362.     CrossRef
  • Lipid treatment status and goal attainment among patients with premature acute coronary syndrome in Israel
    Feras Haskiah, Abid Khaskia
    Journal of Clinical Lipidology.2023; 17(3): 367.     CrossRef
  • Research on obesity using the National Health Information Database: recent trends
    Eun-Jung Rhee
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35.     CrossRef
  • Risk of fracture according to temporal changes of low body weight changes in adults over 40 years: a nationwide population-based cohort study
    Jung Guel Kim, Jae-Young Hong, Jiwon Park, Sang-Min Park, Kyungdo Han, Ho-Joong Kim, Jin S. Yeom
    BMC Public Health.2023;[Epub]     CrossRef
  • Factors Affecting High Body Weight Variability
    Kyungdo Han, Mee Kyoung Kim
    Journal of Obesity & Metabolic Syndrome.2023; 32(2): 163.     CrossRef
  • Puerarin Attenuates High-Glucose and High-Lipid-Induced Inflammatory Injury in H9c2 Cardiomyocytes via CAV3 Protein Upregulation
    YiFu Tian, CaiXia Zhou, XiaoYang Bu, Qian Lv, Qin Huang
    Journal of Inflammation Research.2023; Volume 16: 2707.     CrossRef
  • Visit-to-Visit Glucose Variability, Cognition, and Global Cognitive Decline: The Multi-Ethnic Study of Atherosclerosis
    Christopher L Schaich, Michael P Bancks, Kathleen M Hayden, Jingzhong Ding, Stephen R Rapp, Alain G Bertoni, Susan R Heckbert, Timothy M Hughes, Morgana Mongraw-Chaffin
    The Journal of Clinical Endocrinology & Metabolism.2023;[Epub]     CrossRef
  • The Association of Postprandial Triglyceride Variability with Renal Dysfunction and Microalbuminuria in Patients with Type 2 Diabetic Mellitus: A Retrospective and Observational Study
    Natsumi Matsuoka-Uchiyama, Haruhito A. Uchida, Shugo Okamoto, Yasuhiro Onishi, Katsuyoshi Katayama, Mariko Tsuchida-Nishiwaki, Hidemi Takeuchi, Rika Takemoto, Yoshiko Hada, Ryoko Umebayashi, Naoko Kurooka, Kenji Tsuji, Jun Eguchi, Hirofumi Nakajima, Kenic
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  • Associations of variability in body weight and glucose levels with the risk of hip fracture in people with diabetes
    Jeongmin Lee, Kyungdo Han, Sang Hyun Park, Mee Kyoung Kim, Dong-Jun Lim, Kun-Ho Yoon, Moo-Il Kang, Seung-Hwan Lee
    Metabolism.2022; 129: 155135.     CrossRef
  • The Influence of Obesity and Metabolic Health on Vascular Health
    Eun-Jung Rhee
    Endocrinology and Metabolism.2022; 37(1): 1.     CrossRef
  • Variability of Metabolic Risk Factors: Causative Factor or Epiphenomenon?
    Hye Jin Yoo
    Diabetes & Metabolism Journal.2022; 46(2): 257.     CrossRef
  • Changes in Underweight Status and Risk of Hip Fracture: A Korean Nationwide Population-Based Cohort Study
    Sangsoo Han, Jiwon Park, Hae-Dong Jang, Kyungdo Han, Choungah Lee, Wonseok Kim, Jae-Young Hong
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    Diabetes Care.2022; 45(5): 1141.     CrossRef
  • Lipid Variability and Risk of Cardiovascular Diseases and All-Cause Mortality: A Systematic Review and Meta-Analysis of Cohort Studies
    Shuting Li, Leying Hou, Siyu Zhu, Qian Yi, Wen Liu, Yang Zhao, Feitong Wu, Xue Li, An Pan, Peige Song
    Nutrients.2022; 14(12): 2450.     CrossRef
  • Impact of Visit-to-Visit Triglyceride-Glucose Index Variability on the Risk of Cardiovascular Disease in the Elderly
    Fei Chen, Ying Pan, Ziqing Liu, Rong Huang, Jing Wang, Jian Shao, Yaqin Gong, Xiyi Sun, Xiaobo Jiang, Weihao Wang, Zhaoqiang Li, Shao Zhong, Qi Pan, Kaixin Zhou, Muhammad Furqan Akhtar
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  • Fenofibrate add-on to statin treatment is associated with low all-cause death and cardiovascular disease in the general population with high triglyceride levels
    Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
    Metabolism.2022; 137: 155327.     CrossRef
  • Mean versus variability of lipid measurements over 6 years and incident cardiovascular events: More than a decade follow-up
    Soroush Masrouri, Leila Cheraghi, Niloofar Deravi, Neda Cheraghloo, Maryam Tohidi, Fereidoun Azizi, Farzad Hadaegh
    Frontiers in Cardiovascular Medicine.2022;[Epub]     CrossRef
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    Hui Chen, Tianjing Zhou, Shaowei Wu, Yaying Cao, Geng Zong, Changzheng Yuan
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  • Acute Glucose Shift Induces the Activation of the NLRP3 Inflammasome in THP-1 Cells
    Ji Yeon Lee, Yup Kang, Hae Jin Kim, Dae Jung Kim, Kwan Woo Lee, Seung Jin Han
    International Journal of Molecular Sciences.2021; 22(18): 9952.     CrossRef
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    Jung-Hwan Cho, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Prevention and Pharmacotherapy.2021; 3(4): 73.     CrossRef
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    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
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  • Characteristics and Clinical Course of Diabetes of the Exocrine Pancreas: A Nationwide Population-Based Cohort Studybrief Title: Diabetes of the Exocrine Pancreas
    Nami Lee, So Jeong Park, Dongwoo Kang, Ja Young Jeon, Hae Jin Kim, Dae Jung Kim, Kwan-Woo Lee, Edward J. Boyko, Seung Jin Han
    SSRN Electronic Journal .2021;[Epub]     CrossRef
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Original Articles
Association between Body Weight Changes and Menstrual Irregularity: The Korea National Health and Nutrition Examination Survey 2010 to 2012
Kyung Min Ko, Kyungdo Han, Youn Jee Chung, Kun-Ho Yoon, Yong Gyu Park, Seung-Hwan Lee
Endocrinol Metab. 2017;32(2):248-256.   Published online June 23, 2017
DOI: https://doi.org/10.3803/EnM.2017.32.2.248
  • 7,943 View
  • 65 Download
  • 13 Citations
AbstractAbstract PDFPubReader   CrossRef-TDMCrossref - TDM
Background

Menstrual irregularity is an indicator of endocrine disorders and reproductive health status. It is associated with various diseases and medical conditions, including obesity and underweight. We aimed to assess the association between body weight changes and menstrual irregularity in Korean women.

Methods

A total of 4,621 women 19 to 54 years of age who participated in the 2010 to 2012 Korea National Health and Nutrition Examination Survey were included in this study. Self-reported questionnaires were used to collect medical information assessing menstrual health status and body weight changes. Odds ratios (ORs) and 95% confidence interval (CI) were calculated to evaluate the association between body weight changes and menstrual irregularity.

Results

Significantly higher ORs (95% CI) were observed in the association between menstrual irregularity and both weight loss (OR, 1.74; 95% CI, 1.22 to 2.48) and weight gain (OR, 1.45; 95% CI, 1.13 to 1.86) after adjusting for age, body mass index, current smoking, heavy alcohol drinking, regular exercise, calorie intake, education, income, metabolic syndrome, age of menarche, parity, and stress perception. Of note, significant associations were only observed in subjects with obesity and abdominal obesity, but not in non-obese or non-abdominally obese subjects. U-shaped patterns were demonstrated in both obese and abdominally obese subjects, indicating that greater changes in body weight are associated with higher odds of menstrual irregularity.

Conclusion

We found a U-shaped pattern of association between body weight changes and menstrual irregularity among obese women in the general Korean population. This result indicates that not only proper weight management but also changes in body weight may influence the regulation of the menstrual cycle.

Citations

Citations to this article as recorded by  
  • Efficacy Confirmation Test of Black Cumin (Nigella sativa L.) Seeds Extract Using a High-Fat Diet Mouse Model
    Khawaja Muhammad Imran Bashir, Joo Wan Kim, Jong-Kyu Kim, Yoon-Seok Chun, Jae-Suk Choi, Sae-Kwang Ku
    Metabolites.2023; 13(4): 501.     CrossRef
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    Jung-Hee Kim, Oksoo Kim, Heeja Jung, Yanghee Pang, Hyunju Dan
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    Khalida Itriyeva
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    O.S. Payenok
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    Eleanor P Thong, Ethel Codner, Joop S E Laven, Helena Teede
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  • Body Weight Changes in Obese Women and Menstruation
    Jung Hee Kim
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  • Nutritional Counseling Promotes Changes in the Dietary Habits of Overweight and Obese Adolescents with Polycystic Ovary Syndrome
    Adriana Lúcia Carolo, Maria Célia Mendes, Ana Carolina Japur de Sá Rosa e Silva, Carolina Sales Vieira, Marcos Felipe Silva de Sá, Rui Alberto Ferriani, Rosana Maria dos Reis
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Thyroid
Weight Changes in Patients with Differentiated Thyroid Carcinoma during Postoperative Long-Term Follow-up under Thyroid Stimulating Hormone Suppression
Seo Young Sohn, Ji Young Joung, Yoon Young Cho, Sun Mi Park, Sang Man Jin, Jae Hoon Chung, Sun Wook Kim
Endocrinol Metab. 2015;30(3):343-351.   Published online August 4, 2015
DOI: https://doi.org/10.3803/EnM.2015.30.3.343
  • 3,238 View
  • 54 Download
  • 12 Citations
AbstractAbstract PDFPubReader   CrossRef-TDMCrossref - TDM
Background

There are limited data about whether patients who receive initial treatment for differentiated thyroid cancer (DTC) gain or lose weight during long-term follow-up under thyroid stimulating hormone (TSH) suppression. This study was aimed to evaluate whether DTC patients under TSH suppression experience long-term weight gain after initial treatment. We also examined the impact of the radioactive iodine ablation therapy (RAIT) preparation method on changes of weight, comparing thyroid hormone withdrawal (THW) and recombinant human TSH (rhTSH).

Methods

We retrospectively reviewed 700 DTC patients who underwent a total thyroidectomy followed by either RAIT and levothyroxine (T4) replacement or T4 replacement alone. The control group included 350 age-matched patients with benign thyroid nodules followed during same period. Anthropometric data were measured at baseline, 1 to 2 years, and 3 to 4 years after thyroidectomy. Comparisons were made between weight and body mass index (BMI) at baseline and follow-up.

Results

Significant gains in weight and BMI were observed 3 to 4 years after initial treatment for female DTC but not in male patients. These gains among female DTC patients were also significant compared to age-matched control. Women in the THW group gained a significant amount of weight and BMI compared to baseline, while there was no increase in weight or BMI in the rhTSH group. There were no changes in weight and BMI in men according to RAIT preparation methods.

Conclusion

Female DTC patients showed significant gains in weight and BMI during long-term follow-up after initial treatment. These changes were seen only in patients who underwent THW for RAIT.

Citations

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Adrenal gland
Effects of Chronic Restraint Stress on Body Weight, Food Intake, and Hypothalamic Gene Expressions in Mice
Joo Yeon Jeong, Dong Hoon Lee, Sang Soo Kang
Endocrinol Metab. 2013;28(4):288-296.   Published online December 12, 2013
DOI: https://doi.org/10.3803/EnM.2013.28.4.288
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AbstractAbstract PDFPubReader   CrossRef-TDMCrossref - TDM
Background

Stress affects body weight and food intake, but the underlying mechanisms are not well understood.

Methods

We evaluated the changes in body weight and food intake of ICR male mice subjected to daily 2 hours restraint stress for 15 days. Hypothalamic gene expression profiling was analyzed by cDNA microarray.

Results

Daily body weight and food intake measurements revealed that both parameters decreased rapidly after initiating daily restraint stress. Body weights of stressed mice then remained significantly lower than the control body weights, even though food intake slowly recovered to 90% of the control intake at the end of the experiment. cDNA microarray analysis revealed that chronic restraint stress affects the expression of hypothalamic genes possibly related to body weight control. Since decreases of daily food intake and body weight were remarkable in days 1 to 4 of restraint, we examined the expression of food intake-related genes in the hypothalamus. During these periods, the expressions of ghrelin and pro-opiomelanocortin mRNA were significantly changed in mice undergoing restraint stress. Moreover, daily serum corticosterone levels gradually increased, while leptin levels significantly decreased.

Conclusion

The present study demonstrates that restraint stress affects body weight and food intake by initially modifying canonical food intake-related genes and then later modifying other genes involved in energy metabolism. These genetic changes appear to be mediated, at least in part, by corticosterone.

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Changes in Plasma Leptin Levels Relating to Short-Term Thyroid Manipulation in Rats.
Min Seon Kim, Cho Ya Yoon, Young Min Cho, Hye Seung Jung, Chan Soo Shin, Kyong Soo Park, Seong Yeon Kim, Bo Youn Cho, Hong Kyu Lee, Stephen R Bloom
J Korean Endocr Soc. 2002;17(2):197-205.   Published online April 1, 2002
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AbstractAbstract PDF
BACKGROUND
Leptin, an adipocyte derived hormone, and thyroid hormone have similar effects on energy homeostasis, such that a shortage of both hormones is associated with decreased energy expenditure and increased body weight. Therefore, for the maintenance of energy homeostasis may require a close interaction between leptin and thyroid hormone. This study was performed to investigate the change in plasma leptin levels relating to short-term thyroid manipulation causing no significant change in body weight. METHODS: Hypothyroidism was induced by surgical thyroidectomy and hyperthyroidism by subcutaneous injection of 50 g of L-T3/100 g body weight/day, for 5 days, in 6~8 weeks old male Wistar rats. Body weights and food intakes were monitored daily until sacrifice. Plasma samples were collected, and the thyroid stimulating hormone (TSH), free triiodothyronine (T3) and leptin levels measured. The plasma leptin levels in rats with hypothyroidism and hyperthyroidism were compared with those of body weights at death and food intakes during the study, atched controls. RESULTS: The rats treated with L-T3 consumed equal amount of food as freely fed, rats but their final body weights were significantly lower (L-T3 treated 220.0 +/- 1.8 vs. freely fed 226.0 +/- 2.0 g, p<0.05). There was no difference in food intake during study, and final body weight, between the thyroidectomised rats and their paired controls (thyroidectomised 220.4 +/- 1.7 vs. paired 223.9 +/- 4.7 g, P=NS). Plasma leptin levels in the L-T3 treated rats were significantly lower than those in freely fed rats (L-T3 treated 1.7 +/- 0.1 vs. freely fed 4.8 +/- 0.2 ng/ml, p<0.005). Conversely, the thyroidectomised rats had higher plasma leptin levels, compared to those of their paired controls (thyroidectomised 4.8 +/- 0.3 vs. paired 1.7 +/- 0.1 ng/ml, p<0.005). CONCLUSION: The Plasma leptin levels in the rats were decreased by short term hyperthyroidism, while they were increased by short term hypothyroidism. These findings suggest that thyroid hormones may affect the production or secretion of leptin

Endocrinol Metab : Endocrinology and Metabolism