- Diabetes, obesity and metabolism
- Reference Standards for C-Peptide in Korean Population: A Korean Endocrine Hormone Reference Standard Data Center Study
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Jooyoung Cho, Ho-Chan Cho, Ohk-Hyun Ryu, Hyo-Jeong Kim, Chang Geun Kim, Young Ran Yun, Choon Hee Chung, on Behalf of the Task Force Team for Korean Hormone Reference Standards
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Endocrinol Metab. 2024;39(3):489-499. Published online May 9, 2024
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DOI: https://doi.org/10.3803/EnM.2023.1888
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 Abstract
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- Background
The Korean Endocrine Hormone Reference Standard Data Center (KEHRS DC) has created reference standards (RSs) for endocrine hormones since 2020. This study is the first of its kind, wherein the KEHRS DC established RSs for serum Cpeptide levels in a healthy Korean population.
Methods
Healthy Korean adults were recruited from May 2021 to September 2023. After excluding participants according to our criteria, serum samples were collected; each participant could then choose between fasting glucose only or fasting glucose plus an oral glucose tolerance test (OGTT). If their sample showed high glucose (≥100 mg/dL) or hemoglobin A1c (HbA1c) (≥5.70%), their C-peptide levels were excluded from analyzing the RSs.
Results
A total of 1,532 participants were recruited; however, only the data of 1,050 participants were analyzed after excluding those whose samples showed hyperglycemia or high HbA1c. Post-30-minute OGTT data from 342 subjects and post-120-minute OGTT data from 351 subjects were used. The means±2 standard deviations and expanded uncertainties of fasting, post-30-minute and 120-minute OGTT C-peptide levels were 1.26±0.82 and 0.34–3.18, 4.74±3.57 and 1.14–8.33, and 4.85±3.58 and 1.25–8.34 ng/mL, respectively. Serum C-peptide levels correlated with obesity, serum glucose levels, and HbA1c levels.
Conclusion
The RSs for serum C-peptide levels established in this study are expected to be useful in both clinical and related fields.
- Adrenal Gland
- Metabolic Subtyping of Adrenal Tumors: Prospective Multi-Center Cohort Study in Korea
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Eu Jeong Ku, Chaelin Lee, Jaeyoon Shim, Sihoon Lee, Kyoung-Ah Kim, Sang Wan Kim, Yumie Rhee, Hyo-Jeong Kim, Jung Soo Lim, Choon Hee Chung, Sung Wan Chun, Soon-Jib Yoo, Ohk-Hyun Ryu, Ho Chan Cho, A Ram Hong, Chang Ho Ahn, Jung Hee Kim, Man Ho Choi
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Endocrinol Metab. 2021;36(5):1131-1141. Published online October 21, 2021
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DOI: https://doi.org/10.3803/EnM.2021.1149
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6,330
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12
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Abstract
PDFSupplementary MaterialPubReader ePub
- Background
Conventional diagnostic approaches for adrenal tumors require multi-step processes, including imaging studies and dynamic hormone tests. Therefore, this study aimed to discriminate adrenal tumors from a single blood sample based on the combination of liquid chromatography-mass spectrometry (LC-MS) and machine learning algorithms in serum profiling of adrenal steroids.
Methods
The LC-MS-based steroid profiling was applied to serum samples obtained from patients with nonfunctioning adenoma (NFA, n=73), Cushing’s syndrome (CS, n=30), and primary aldosteronism (PA, n=40) in a prospective multicenter study of adrenal disease. The decision tree (DT), random forest (RF), and extreme gradient boost (XGBoost) were performed to categorize the subtypes of adrenal tumors.
Results
The CS group showed higher serum levels of 11-deoxycortisol than the NFA group, and increased levels of tetrahydrocortisone (THE), 20α-dihydrocortisol, and 6β-hydroxycortisol were found in the PA group. However, the CS group showed lower levels of dehydroepiandrosterone (DHEA) and its sulfate derivative (DHEA-S) than both the NFA and PA groups. Patients with PA expressed higher serum 18-hydroxycortisol and DHEA but lower THE than NFA patients. The balanced accuracies of DT, RF, and XGBoost for classifying each type were 78%, 96%, and 97%, respectively. In receiver operating characteristics (ROC) analysis for CS, XGBoost, and RF showed a significantly greater diagnostic power than the DT. However, in ROC analysis for PA, only RF exhibited better diagnostic performance than DT.
Conclusion
The combination of LC-MS-based steroid profiling with machine learning algorithms could be a promising one-step diagnostic approach for the classification of adrenal tumor subtypes.
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Citations
Citations to this article as recorded by  - Treating Primary Aldosteronism-Induced Hypertension: Novel Approaches and Future Outlooks
Nathan Mullen, James Curneen, Padraig T Donlon, Punit Prakash, Irina Bancos, Mark Gurnell, Michael C Dennedy
Endocrine Reviews.2024; 45(1): 125. CrossRef - Steroid profiling in adrenal disease
Danni Mu, Dandan Sun, Xia Qian, Xiaoli Ma, Ling Qiu, Xinqi Cheng, Songlin Yu
Clinica Chimica Acta.2024; 553: 117749. CrossRef - Plasma Steroid Profiling Combined With Machine Learning for the Differential Diagnosis in Mild Autonomous Cortisol Secretion From Nonfunctioning Adenoma in Patients With Adrenal Incidentalomas
Danni Mu, Xia Qian, Yichen Ma, Xi Wang, Yumeng Gao, Xiaoli Ma, Shaowei Xie, Lian Hou, Qi Zhang, Fang Zhao, Liangyu Xia, Liling Lin, Ling Qiu, Jie Wu, Songlin Yu, Xinqi Cheng
Endocrine Practice.2024; 30(7): 647. CrossRef - Mild autonomous cortisol secretion: pathophysiology, comorbidities and management approaches
Alessandro Prete, Irina Bancos
Nature Reviews Endocrinology.2024; 20(8): 460. CrossRef - Plasma Steroid Profiling Between Patients With and Without Diabetes Mellitus in Nonfunctioning Adrenal Incidentalomas
Yui Nakano, Maki Yokomoto-Umakoshi, Kohta Nakatani, Hironobu Umakoshi, Hiroshi Nakao, Masamichi Fujita, Hiroki Kaneko, Norifusa Iwahashi, Tatsuki Ogasawara, Tazuru Fukumoto, Yayoi Matsuda, Ryuichi Sakamoto, Yoshihiro Izumi, Takeshi Bamba, Yoshihiro Ogawa
Journal of the Endocrine Society.2024;[Epub] CrossRef - Serum and hair steroid profiles in patients with nonfunctioning pituitary adenoma undergoing surgery: A prospective observational study
Seung Shin Park, Yong Hwy Kim, Ho Kang, Chang Ho Ahn, Dong Jun Byun, Man Ho Choi, Jung Hee Kim
The Journal of Steroid Biochemistry and Molecular Biology.2023; 230: 106276. CrossRef - Recent Updates on the Management of Adrenal Incidentalomas
Seung Shin Park, Jung Hee Kim
Endocrinology and Metabolism.2023; 38(4): 373. CrossRef - LC-MS based simultaneous profiling of adrenal hormones of steroids, catecholamines, and metanephrines
Jongsung Noh, Chaelin Lee, Jung Hee Kim, Seung Woon Myung, Man Ho Choi
Journal of Lipid Research.2023; 64(11): 100453. CrossRef - 2023 Korean Endocrine Society Consensus Guidelines for the Diagnosis and Management of Primary Aldosteronism
Jeonghoon Ha, Jung Hwan Park, Kyoung Jin Kim, Jung Hee Kim, Kyong Yeun Jung, Jeongmin Lee, Jong Han Choi, Seung Hun Lee, Namki Hong, Jung Soo Lim, Byung Kwan Park, Jung-Han Kim, Kyeong Cheon Jung, Jooyoung Cho, Mi-kyung Kim, Choon Hee Chung
Endocrinology and Metabolism.2023; 38(6): 597. CrossRef - 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 - Prevalence and Characteristics of Adrenal Tumors in an Unselected Screening Population
Ying Jing, Jinbo Hu, Rong Luo, Yun Mao, Zhixiao Luo, Mingjun Zhang, Jun Yang, Ying Song, Zhengping Feng, Zhihong Wang, Qingfeng Cheng, Linqiang Ma, Yi Yang, Li Zhong, Zhipeng Du, Yue Wang, Ting Luo, Wenwen He, Yue Sun, Fajin Lv, Qifu Li, Shumin Yang
Annals of Internal Medicine.2022; 175(10): 1383. CrossRef
- Thyroid
- A Multicenter, Randomized, Controlled Trial for Assessing the Usefulness of Suppressing Thyroid Stimulating Hormone Target Levels after Thyroid Lobectomy in Low to Intermediate Risk Thyroid Cancer Patients (MASTER): A Study Protocol
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Eun Kyung Lee, Yea Eun Kang, Young Joo Park, Bon Seok Koo, Ki-Wook Chung, Eu Jeong Ku, Ho-Ryun Won, Won Sang Yoo, Eonju Jeon, Se Hyun Paek, Yong Sang Lee, Dong Mee Lim, Yong Joon Suh, Ha Kyoung Park, Hyo-Jeong Kim, Bo Hyun Kim, Mijin Kim, Sun Wook Kim, Ka Hee Yi, Sue K. Park, Eun-Jae Jung, June Young Choi, Ja Seong Bae, Joon Hwa Hong, Kee-Hyun Nam, Young Ki Lee, Hyeong Won Yu, Sujeong Go, Young Mi Kang, MASTER study group
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Endocrinol Metab. 2021;36(3):574-581. Published online May 26, 2021
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DOI: https://doi.org/10.3803/EnM.2020.943
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7,287
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295
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11
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14
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Abstract
PDFPubReader ePub
- Background
Postoperative thyroid stimulating hormone (TSH) suppression therapy is recommended for patients with intermediate- and high-risk differentiated thyroid cancer to prevent the recurrence of thyroid cancer. With the recent increase in small thyroid cancer cases, the extent of resection during surgery has generally decreased. Therefore, questions have been raised about the efficacy and long-term side effects of TSH suppression therapy in patients who have undergone a lobectomy.
Methods
This is a multicenter, prospective, randomized, controlled clinical trial in which 2,986 patients with papillary thyroid cancer are randomized into a high-TSH group (intervention) and a low-TSH group (control) after having undergone a lobectomy. The principle of treatment includes a TSH-lowering regimen aimed at TSH levels between 0.3 and 1.99 μIU/mL in the low-TSH group. The high-TSH group targets TSH levels between 2.0 and 7.99 μIU/mL. The dose of levothyroxine will be adjusted at each visit to maintain the target TSH level. The primary outcome is recurrence-free survival, as assessed by neck ultrasound every 6 to 12 months. Secondary endpoints include disease-free survival, overall survival, success rate in reaching the TSH target range, the proportion of patients with major cardiovascular diseases or bone metabolic disease, the quality of life, and medical costs. The follow-up period is 5 years.
Conclusion
The results of this trial will contribute to establishing the optimal indication for TSH suppression therapy in low-risk papillary thyroid cancer patients by evaluating the benefit and harm of lowering TSH levels in terms of recurrence, metabolic complications, costs, and quality of life.
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Citations
Citations to this article as recorded by - Effect of thyroid-stimulating hormone suppression on quality of life in thyroid lobectomy patients: interim analysis of a multicenter, randomized controlled trial in low- to intermediate-risk thyroid cancer patients (MASTER study)
Ja Kyung Lee, Eu Jeong Ku, Su-jin Kim, Woochul Kim, Jae Won Cho, Kyong Yeun Jung, Hyeong Won Yu, Yea Eun Kang, Mijin Kim, Hee Kyung Kim, Junsun Ryu, June Young Choi
Annals of Surgical Treatment and Research.2024; 106(1): 19. CrossRef - Clinical impact of coexistent chronic lymphocytic thyroiditis on central lymph node metastasis in low- to intermediate-risk papillary thyroid carcinoma: The MASTER study
Da Beom Heo, Ho-Ryun Won, Kyung Tae, Yea Eun Kang, Eonju Jeon, Yong Bae Ji, Jae Won Chang, June Young Choi, Hyeong Won Yu, Eu Jeong Ku, Eun Kyung Lee, Mijin Kim, Jun-Ho Choe, Bon Seok Koo
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璐 狄
Advances in Clinical Medicine.2024; 14(03): 1083. CrossRef - Korean Thyroid Association Guidelines on the Management of Differentiated Thyroid Cancers; Part II. Follow-up Surveillance after Initial Treatment 2024
Mijin Kim, Ji-In Bang, Ho-Cheol Kang, Sun Wook Kim, Dong Gyu Na, Young Joo Park, Youngduk Seo, Young Shin Song, So Won Oh, Sang-Woo Lee, Eun Kyung Lee, Ji Ye Lee, Dong-Jun Lim, Ari Chong, Yun Jae Chung, Chae Moon Hong, Min Kyoung Lee, Bo Hyun Kim
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Young Joo Park
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Ho-Ryun Won, Eonju Jeon, Da Beom Heo, Jae Won Chang, Minho Shong, Je Ryong Kim, Hyemi Ko, Yea Eun Kang, Hyon-Seung Yi, Ju Hee Lee, Kyong Hye Joung, Ji Min Kim, Younju Lee, Sung-Woo Kim, Young Ju Jeong, Yong Bae Ji, Kyung Tae, Bon Seok Koo
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Ho-Ryun Won, Eonju Jeon, Da Beom Heo, Jae Won Chang, Minho Shong, Je Ryong Kim, Hyemi Ko, Yea Eun Kang, Hyon-Seung Yi, Ju Hee Lee, Kyong Hye Joung, Ji Min Kim, Younju Lee, Sung-Woo Kim, Young Ju Jeong, Yong Bae Ji, Kyung Tae, Bon Seok Koo
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