Endocrinology and Metabolism

Editorial

Diabetes, Obesity and Metabolism
You Can’t Avoid Shift Work? Then Focus on Body Fat Rather than Weight: Eun Kyung Lee; Endocrinol Metab. 2022;37(5):756-758. Published online October 25, 2022; DOI: https://doi.org/10.3803/EnM.2022.501

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Review Articles

Calcium & Bone Metabolism
Update on Preoperative Parathyroid Localization in Primary Hyperparathyroidism: Hye-Sun Park, Namki Hong, Jong Ju Jeong, Mijin Yun, Yumie Rhee; Endocrinol Metab. 2022;37(5):744-755. Published online October 25, 2022; DOI: https://doi.org/10.3803/EnM.2022.1589

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Parathyroidectomy is the treatment of choice for primary hyperparathyroidism when the clinical criteria are met. Although bilateral neck exploration is traditionally the standard method for surgery, minimally invasive parathyroidectomy (MIP), or focused parathyroidectomy, has been widely accepted with comparable curative outcomes. For successful MIP, accurate preoperative localization of parathyroid lesions is essential. However, no consensus exists on the optimal approach for localization. Currently, ultrasonography and technetium-99m-sestamibi–single photon emission computed tomography/computed tomography are widely accepted in most cases. However, exact localization cannot always be achieved, especially in cases with multiglandular disease, ectopic glands, recurrent disease, and normocalcemic primary hyperparathyroidism. Therefore, new modalities for preoperative localization have been developed and evaluated. Positron emission tomography/computed tomography and parathyroid venous sampling have demonstrated improvements in sensitivity and accuracy. Both anatomical and functional information can be obtained by combining these methods. As each approach has its advantages and disadvantages, the localization study should be deliberately chosen based on each patient’s clinical profile, costs, radiation exposure, and the availability of experienced experts. In this review, we summarize various methods for the localization of hyperfunctioning parathyroid tissues in primary hyperparathyroidism.

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Expression of the Calcium-Sensing Receptor on Normal and Abnormal Parathyroid and Thyroid Tissue
Anne L. Worth, Mesrop Ayrapetyan, Susan J. Maygarden, Zibo Li, Zhanhong Wu, Chris B. Agala, Lawrence T. Kim
Journal of Surgical Research.2024; 293: 618. CrossRef
A Rare Case of Hyperfunctioning Lipoadenoma Presenting as a Cystic Pararthyroid Lesion
Jinyoung Kim, Ohjoon Kwon, Tae-Jung Kim, So Lyung Jung, Eun Ji Han, Ki-Ho Song
Journal of Bone Metabolism.2023; 30(2): 201. CrossRef
Role of 18F-Fluorocholine Positron Emission Tomography (PET)/Computed Tomography (CT) in Diagnosis of Elusive Parathyroid Adenoma
Janan R Badier, Pokhraj P Suthar, Jagadeesh S Singh, Miral D Jhaveri
Cureus.2023;[Epub] CrossRef
Pitfalls of DualTracer 99m-Technetium (Tc) Pertechnetate and Sestamibi Scintigraphy before Parathyroidectomy: Between Primary-Hyperparathyroidism-Associated Parathyroid Tumour and Ectopic Thyroid Tissue
Mara Carsote, Mihaela Stanciu, Florina Ligia Popa, Oana-Claudia Sima, Eugenia Petrova, Anca-Pati Cucu, Claudiu Nistor
Medicina.2023; 60(1): 15. CrossRef
Diagnostic Performance of Magnetic Resonance Imaging for Parathyroid Localization of Primary Hyperparathyroidism: A Systematic Review
Max H. M. C. Scheepers, Zaid Al-Difaie, Lloyd Brandts, Andrea Peeters, Bjorn Winkens, Mahdi Al-Taher, Sanne M. E. Engelen, Tim Lubbers, Bas Havekes, Nicole D. Bouvy, Alida A. Postma
Diagnostics.2023; 14(1): 25. CrossRef

Calcium & Bone Metabolism
Updates on Paget’s Disease of Bone: Yong Jun Choi, Young Bae Sohn, Yoon-Sok Chung; Endocrinol Metab. 2022;37(5):732-743. Published online October 25, 2022; DOI: https://doi.org/10.3803/EnM.2022.1575

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Paget’s disease of the bone is a prevalent bone disease characterized by disorganized bone remodeling; however, it is comparatively uncommon in East Asian countries, including China, Japan, and Korea. The exact cause still remains unknown. In genetically susceptible individuals, environmental triggers such as paramyxoviral infections are likely to cause the disease. Increased osteoclast activity results in increased bone resorption, which attracts osteoblasts and generates new bone matrix. Fast bone resorption and formation lead to the development of disorganized bone tissue. Increasing serum alkaline phosphatase or unique radiographic lesions may serve as the diagnostic indicators. Common symptoms include bone pain, bowing of the long bones, an enlarged skull, and hearing loss. The diagnosis is frequently confirmed by radiographic and nuclear scintigraphy of the bone. Further, bisphosphonates such as zoledronic acid and pamidronate are effective for its treatment. Moreover, biochemical monitoring is superior to the symptoms as a recurrence indicator. This article discusses the updates of Paget’s disease of bone with a clinical case.

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Effects of Erythropoietin-Promoted Fracture Healing on Bone Turnover Markers in Cats
Radina Vasileva, Tsvetan Chaprazov, Aneliya Milanova
Journal of Functional Biomaterials.2024; 15(4): 106. CrossRef
Newly Diagnosed Monostotic Paget’s Disease of Bone during Living Kidney Donor Candidate Evaluation
Diana Jędrzejuk, Paweł Poznański, Paweł Szewczyk, Oktawia Mazanowska, Marek Bolanowski, Magdalena Krajewska, Dorota Kamińska
Biomedicines.2023; 11(2): 401. CrossRef
Paget's disease of bone in the patient presented with a bowed leg
Mehrzad Hajialiloo, Sepideh Tahsini Tekantapeh
Clinical Case Reports.2023;[Epub] CrossRef

Hypothalamus and Pituitary Gland
Independent Skeletal Actions of Pituitary Hormones: Se-Min Kim, Farhath Sultana, Funda Korkmaz, Daria Lizneva, Tony Yuen, Mone Zaidi; Endocrinol Metab. 2022;37(5):719-731. Published online September 28, 2022; DOI: https://doi.org/10.3803/EnM.2022.1573

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Over the past years, pituitary hormones and their receptors have been shown to have non-traditional actions that allow them to bypass the hypothalamus-pituitary-effector glands axis. Bone cells—osteoblasts and osteoclasts—express receptors for growth hormone, follicle stimulating hormone (FSH), thyroid stimulating hormone (TSH), adrenocorticotrophic hormone (ACTH), prolactin, oxytocin, and vasopressin. Independent skeletal actions of pituitary hormones on bone have been studied using genetically modified mice with haploinsufficiency and by activating or inactivating the receptors pharmacologically, without altering systemic effector hormone levels. On another front, the discovery of a TSH variant (TSH-βv) in immune cells in the bone marrow and skeletal action of FSHβ through tumor necrosis factor α provides new insights underscoring the integrated physiology of bone-immune-endocrine axis. Here we discuss the interaction of each pituitary hormone with bone and the potential it holds in understanding bone physiology and as a therapeutic target.

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Trends in Endocrinology & Metabolism.2023; 34(4): 231. CrossRef
A Causality between Thyroid Function and Bone Mineral Density in Childhood: Abnormal Thyrotropin May Be Another Pediatric Predictor of Bone Fragility
Dongjin Lee, Moon Ahn
Metabolites.2023; 13(3): 372. CrossRef
The mechanism of oxytocin and its receptors in regulating cells in bone metabolism
Liu Feixiang, Feng Yanchen, Li Xiang, Zhang Yunke, Miao Jinxin, Wang Jianru, Lin Zixuan
Frontiers in Pharmacology.2023;[Epub] CrossRef
To investigate the mechanism of Yiwei Decoction in the treatment of premature ovarian insufficiency-related osteoporosis using transcriptomics, network pharmacology and molecular docking techniques
Weisen Fan, Yan Meng, Jing Zhang, Muzhen Li, Yingjie Zhang, Xintian Qu, Xin Xiu
Scientific Reports.2023;[Epub] CrossRef

Thyroid
Update from the 2022 World Health Organization Classification of Thyroid Tumors: A Standardized Diagnostic Approach: Chan Kwon Jung, Andrey Bychkov, Kennichi Kakudo; Endocrinol Metab. 2022;37(5):703-718. Published online October 4, 2022; DOI: https://doi.org/10.3803/EnM.2022.1553

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The fifth edition of the World Health Organization (WHO) histologic classification of thyroid neoplasms released in 2022 includes newly recognized tumor types, subtypes, and a grading system. Follicular cell-derived neoplasms are categorized into three families (classes): benign tumors, low-risk neoplasms, and malignant neoplasms. The terms “follicular nodular disease” and “differentiated high-grade thyroid carcinoma” are introduced to account for multifocal hyperplastic/neoplastic lesions and differentiated thyroid carcinomas with high-grade features, respectively. The term “Hürthle cells” is replaced with “oncocytic cells.” Invasive encapsulated follicular and cribriform morular variants of papillary thyroid carcinoma (PTC) are now redefined as distinct tumor types, given their different genetic alterations and clinicopathologic characteristics from other PTC subtypes. The term “variant” to describe a subclass of tumor has been replaced with the term “subtype.” Instead, the term “variant” is reserved to describe genetic alterations. A histologic grading system based on the mitotic count, necrosis, and/or the Ki67 index is used to identify high-grade follicular-cell derived carcinomas and medullary thyroid carcinomas. The 2022 WHO classification introduces the following new categories: “salivary gland-type carcinomas of the thyroid” and “thyroid tumors of uncertain histogenesis.” This review summarizes the major changes in the 2022 WHO classification and their clinical relevance.

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The Asian Thyroid Working Group, from 2017 to 2023
Kennichi Kakudo, Chan Kwon Jung, Zhiyan Liu, Mitsuyoshi Hirokawa, Andrey Bychkov, Huy Gia Vuong, Somboon Keelawat, Radhika Srinivasan, Jen-Fan Hang, Chiung-Ru Lai
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Anaplastic thyroid cancer: Pathogenesis, prognostic factors and genetic landscape (Review)
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Simultaneous Occurrence of Medullary Thyroid Carcinoma and Papillary Thyroid Carcinoma: A Case Series with Literature Review
Poupak Fallahi, Armando Patrizio, Giulio Stoppini, Giusy Elia, Francesca Ragusa, Sabrina Rosaria Paparo, Eugenia Balestri, Valeria Mazzi, Chiara Botrini, Gilda Varricchi, Salvatore Ulisse, Marco Ghionzoli, Alessandro Antonelli, Silvia Martina Ferrari
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Jana Jankovic, Eve Tièche, Martina Dettwiler, Kerstin Hahn, Stephanie Scheemaeker, Martin Kessler, Sylvie Daminet, Sven Rottenberg, Miguel Campos
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Thomas J. Musholt
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The relationship of the clinicopathological characteristics and treatment results of post-Chornobyl papillary thyroid microcarcinomas with the latency period and radiation exposure
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Erratum

Miscellaneous
Erratum: Correction of Figures. Association between the Blautia/Bacteroides Ratio and Altered Body Mass Index after Bariatric Surgery: Yoonhong Kim, Dooheon Son, Bu Kyung Kim, Ki Hyun Kim, Kyung Won Seo, Kyoungwon Jung, Seun Ja Park, Sanghyun Lim, Jae Hyun Kim; Endocrinol Metab. 2022;37(4):701-702. Published online July 21, 2022; DOI: https://doi.org/10.3803/EnM.2022.401; Corrects: Endocrinol Metab 2022;37(3):475

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Letter

Thyroid
Efficient Dissociation Protocol for Generation of Single Cell Suspension from Human Thyroid Tissue for Single Cell RNA Sequencing: Shinae Yi, Hyun Jung Kim, Bon Seok Koo, Seong Eun Lee, Jahyun Choi, Yea Eun Kang; Endocrinol Metab. 2022;37(4):698-700. Published online August 29, 2022; DOI: https://doi.org/10.3803/EnM.2022.1536

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Citations

Citations to this article as recorded by

Unraveling the role of the mitochondrial one-carbon pathway in undifferentiated thyroid cancer by multi-omics analyses
Seong Eun Lee, Seongyeol Park, Shinae Yi, Na Rae Choi, Mi Ae Lim, Jae Won Chang, Ho-Ryun Won, Je Ryong Kim, Hye Mi Ko, Eun-Jae Chung, Young Joo Park, Sun Wook Cho, Hyeong Won Yu, June Young Choi, Min-Kyung Yeo, Boram Yi, Kijong Yi, Joonoh Lim, Jun-Young K
Nature Communications.2024;[Epub] CrossRef

Original Articles

Miscellaneous
Protective Effect of Delta-Like 1 Homolog Against Muscular Atrophy in a Mouse Model: Ji Young Lee, Minyoung Lee, Dong-Hee Lee, Yong-ho Lee, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha; Endocrinol Metab. 2022;37(4):684-697. Published online August 29, 2022; DOI: https://doi.org/10.3803/EnM.2022.1446

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Abstract PDF Supplementary Material PubReader ePub: Background
Muscle atrophy is caused by an imbalance between muscle growth and wasting. Delta-like 1 homolog (DLK1), a protein that modulates adipogenesis and muscle development, is a crucial regulator of myogenic programming. Thus, we investigated the effect of exogenous DLK1 on muscular atrophy.
Methods
We used muscular atrophy mouse model induced by dexamethasone (Dex). The mice were randomly divided into three groups: (1) control group, (2) Dex-induced muscle atrophy group, and (3) Dex-induced muscle atrophy group treated with DLK1. The effects of DLK1 were also investigated in an in vitro model using C2C12 myotubes.
Results
Dex-induced muscular atrophy in mice was associated with increased expression of muscle atrophy markers and decreased expression of muscle differentiation markers, while DLK1 treatment attenuated these degenerative changes together with reduced expression of the muscle growth inhibitor, myostatin. In addition, electron microscopy revealed that DLK1 treatment improved mitochondrial dynamics in the Dex-induced atrophy model. In the in vitro model of muscle atrophy, normalized expression of muscle differentiation markers by DLK1 treatment was mitigated by myostatin knockdown, implying that DLK1 attenuates muscle atrophy through the myostatin pathway.
Conclusion
DLK1 treatment inhibited muscular atrophy by suppressing myostatin-driven signaling and improving mitochondrial biogenesis. Thus, DLK1 might be a promising candidate to treat sarcopenia, characterized by muscle atrophy and degeneration.

Calcium & Bone Metabolism
Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm: Sung Hye Kong, Jae-Won Lee, Byeong Uk Bae, Jin Kyeong Sung, Kyu Hwan Jung, Jung Hee Kim, Chan Soo Shin; Endocrinol Metab. 2022;37(4):674-683. Published online August 5, 2022; DOI: https://doi.org/10.3803/EnM.2022.1461

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Background
Since image-based fracture prediction models using deep learning are lacking, we aimed to develop an X-ray-based fracture prediction model using deep learning with longitudinal data.
Methods
This study included 1,595 participants aged 50 to 75 years with at least two lumbosacral radiographs without baseline fractures from 2010 to 2015 at Seoul National University Hospital. Positive and negative cases were defined according to whether vertebral fractures developed during follow-up. The cases were divided into training (n=1,416) and test (n=179) sets. A convolutional neural network (CNN)-based prediction algorithm, DeepSurv, was trained with images and baseline clinical information (age, sex, body mass index, glucocorticoid use, and secondary osteoporosis). The concordance index (C-index) was used to compare performance between DeepSurv and the Fracture Risk Assessment Tool (FRAX) and Cox proportional hazard (CoxPH) models.
Results
Of the total participants, 1,188 (74.4%) were women, and the mean age was 60.5 years. During a mean follow-up period of 40.7 months, vertebral fractures occurred in 7.5% (120/1,595) of participants. In the test set, when DeepSurv learned with images and clinical features, it showed higher performance than FRAX and CoxPH in terms of C-index values (DeepSurv, 0.612; 95% confidence interval [CI], 0.571 to 0.653; FRAX, 0.547; CoxPH, 0.594; 95% CI, 0.552 to 0.555). Notably, the DeepSurv method without clinical features had a higher C-index (0.614; 95% CI, 0.572 to 0.656) than that of FRAX in women.
Conclusion
DeepSurv, a CNN-based prediction algorithm using baseline image and clinical information, outperformed the FRAX and CoxPH models in predicting osteoporotic fracture from spine radiographs in a longitudinal cohort.

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Automated detection of vertebral fractures from X-ray images: A novel machine learning model and survey of the field
Li-Wei Cheng, Hsin-Hung Chou, Yu-Xuan Cai, Kuo-Yuan Huang, Chin-Chiang Hsieh, Po-Lun Chu, I-Szu Cheng, Sun-Yuan Hsieh
Neurocomputing.2024; 566: 126946. CrossRef
Application of radiomics model based on lumbar computed tomography in diagnosis of elderly osteoporosis
Baisen Chen, Jiaming Cui, Chaochen Li, Pengjun Xu, Guanhua Xu, Jiawei Jiang, Pengfei Xue, Yuyu Sun, Zhiming Cui
Journal of Orthopaedic Research.2024;[Epub] CrossRef
Machine Learning and Deep Learning in Spinal Injury: A Narrative Review of Algorithms in Diagnosis and Prognosis
Satoshi Maki, Takeo Furuya, Masahiro Inoue, Yasuhiro Shiga, Kazuhide Inage, Yawara Eguchi, Sumihisa Orita, Seiji Ohtori
Journal of Clinical Medicine.2024; 13(3): 705. CrossRef
A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture
Yisak Kim, Young-Gon Kim, Jung-Wee Park, Byung Woo Kim, Youmin Shin, Sung Hye Kong, Jung Hee Kim, Young-Kyun Lee, Sang Wan Kim, Chan Soo Shin
Radiology.2024;[Epub] CrossRef
A Novel QCT-Based Deep Transfer Learning Approach for Predicting Stiffness Tensor of Trabecular Bone Cubes
Pengwei Xiao, Tinghe Zhang, Yufei Huang, Xiaodu Wang
IRBM.2024; 45(2): 100831. CrossRef
Development and Validation of a Convolutional Neural Network Model to Predict a Pathologic Fracture in the Proximal Femur Using Abdomen and Pelvis CT Images of Patients With Advanced Cancer
Min Wook Joo, Taehoon Ko, Min Seob Kim, Yong-Suk Lee, Seung Han Shin, Yang-Guk Chung, Hong Kwon Lee
Clinical Orthopaedics & Related Research.2023; 481(11): 2247. CrossRef
Automated Opportunistic Trabecular Volumetric Bone Mineral Density Extraction Outperforms Manual Measurements for the Prediction of Vertebral Fractures in Routine CT
Sophia S. Goller, Jon F. Rischewski, Thomas Liebig, Jens Ricke, Sebastian Siller, Vanessa F. Schmidt, Robert Stahl, Julian Kulozik, Thomas Baum, Jan S. Kirschke, Sarah C. Foreman, Alexandra S. Gersing
Diagnostics.2023; 13(12): 2119. CrossRef
Machine learning‐based prediction of osteoporosis in postmenopausal women with clinical examined features: A quantitative clinical study
Kainat A. Ullah, Faisal Rehman, Muhammad Anwar, Muhammad Faheem, Naveed Riaz
Health Science Reports.2023;[Epub] CrossRef
Skeletal Fracture Detection with Deep Learning: A Comprehensive Review
Zhihao Su, Afzan Adam, Mohammad Faidzul Nasrudin, Masri Ayob, Gauthamen Punganan
Diagnostics.2023; 13(20): 3245. CrossRef
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI
Sang Won Jo, Eun Kyung Khil, Kyoung Yeon Lee, Il Choi, Yu Sung Yoon, Jang Gyu Cha, Jae Hyeok Lee, Hyunggi Kim, Sun Yeop Lee
Scientific Reports.2023;[Epub] CrossRef
Vertebra Segmentation Based Vertebral Compression Fracture Determination from Reconstructed Spine X-Ray Images
Srinivasa Rao Gadu, Chandra Sekhar Potala
International Journal of Electrical and Electronics Research.2023; 11(4): 1225. CrossRef
Computer Vision in Osteoporotic Vertebral Fracture Risk Prediction: A Systematic Review
Anthony K. Allam, Adrish Anand, Alex R. Flores, Alexander E. Ropper
Neurospine.2023; 20(4): 1112. CrossRef
A Meaningful Journey to Predict Fractures with Deep Learning
Jeonghoon Ha
Endocrinology and Metabolism.2022; 37(4): 617. CrossRef
New Horizons: Artificial Intelligence Tools for Managing Osteoporosis
Hans Peter Dimai
The Journal of Clinical Endocrinology & Metabolism.2022;[Epub] CrossRef

Thyroid
Quality of Life of Survivors of Thyroid Cancer Is Not Inferior to That in Subjects without Cancer: Long-Term after Over 5 Years: Jeongmin Lee, Youn-Ju Lee, Dong-Jun Lim, Jung-Min Lee, Sang-Ah Chang, Min-Hee Kim; Endocrinol Metab. 2022;37(4):664-673. Published online August 29, 2022; DOI: https://doi.org/10.3803/EnM.2022.1499

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Background
Patients with thyroid cancer undergo less extensive surgery and additional therapies compared to those with other cancers. We aimed to compare the quality of life (QoL) between patients with thyroid cancer and healthy subjects using representative data from Korea. Differences in QoL of thyroid cancer survivors according to the duration after cancer diagnosis was also evaluated.
Methods
This population-based cohort study included 50,278 subjects who participated in the Korea National Health and Nutrition Examination Survey between 2007 and 2017. QoL was compared between patients with thyroid cancer and healthy subjects using self-reported data from the EuroQoL (EQ)-5 dimension (5D) and EQ-visual analog scale (VAS). Propensity score matching was used to match thyroid cancer survivors to healthy subjects (1:5 matching).
Results
Linear regression with univariate analysis showed that the presence of thyroid cancer was positively correlated with better EQ-5D index scores (β-coefficient=0.010, p=0.046). After adjusting for multiple covariables, statistical significance was maintained. EQ-VAS fails to demonstrate any significant correlation. Among the EQ-5D categories, patients with thyroid cancer showed better self-care than healthy subjects. Thyroid cancer duration did not correlate with the EQ-5D index score. In subgroup analyses, compared to patients with thyroid cancer duration of <5 years, no significant difference was observed in the correlation between the EQ-5D index score and survival duration in those with thyroid cancer duration of 5 to 9 years and ≥10 years.
Conclusion
Using a large-scale nationwide population-based database, our study demonstrated better QoL, especially in terms of self-care, among thyroid cancer survivors than among healthy subjects without cancer.

Citations

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Quality of Life Considerations in Patients Treated for Differentiated Thyroid Cancer
Jie Liu
Clinical Thyroidology.2023; 35(4): 160. CrossRef
The psychosocial impact of thyroid cancer
Parker Haymart, Nina Jackson Levin, Megan R. Haymart
Current Opinion in Endocrinology, Diabetes & Obesity.2023; 30(5): 252. CrossRef
Longitudinal Changes in Quality of Life Before and After Thyroidectomy in Patients With Differentiated Thyroid Cancer
Byung Hun Kim, Soo Rack Ryu, Jin Won Lee, Chang Myeon Song, Yong Bae Ji, Seok Hyun Cho, Seung Hwan Lee, Kyung Tae
The Journal of Clinical Endocrinology & Metabolism.2023;[Epub] CrossRef

Thyroid
Frequency of TERT Promoter Mutations in Real-World Analysis of 2,092 Thyroid Carcinoma Patients: Heera Yang, Hyunju Park, Hyun Jin Ryu, Jung Heo, Jung-Sun Kim, Young Lyun Oh, Jun-Ho Choe, Jung Han Kim, Jee Soo Kim, Hye Won Jang, Tae Hyuk Kim, Sun Wook Kim, Jae Hoon Chung; Endocrinol Metab. 2022;37(4):652-663. Published online July 22, 2022; DOI: https://doi.org/10.3803/EnM.2022.1477

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Background
Telomerase reverse transcriptase (TERT) promoter mutations are associated with increased recurrence and mortality in patients with thyroid carcinoma. Previous studies on TERT promoter mutations were retrospectively conducted on a limited number of patients.
Methods
We prospectively collected data on all consecutive patients who underwent thyroid carcinoma surgery between January 2019 and December 2020 at the Samsung Medical Center, Seoul, Korea. We included 2,092 patients with thyroid carcinoma.
Results
Of 2,092 patients, 72 patients (3.4%) had TERT promoter mutations. However, the frequency of TERT promoter mutations was 0.5% in papillary thyroid microcarcinoma (PTMC) ≤1 cm and it was 5.8% in papillary thyroid carcinoma (PTC) >1 cm. The frequency of TERT promoter mutations was significantly associated with older age at diagnosis (odds ratio [OR], 1.12; P<0.001), larger primary tumor size (OR, 2.02; P<0.001), and aggressive histological type (OR, 7.78 in follicular thyroid carcinoma; OR, 10.33 in poorly differentiated thyroid carcinoma; OR, 45.92 in anaplastic thyroid carcinoma; P<0.001). Advanced T stage, advanced N stage, and distant metastasis at diagnosis were highly prevalent in mutated thyroid cancers. However, initial distant metastasis was not present in patients with TERT promoter mutations in PTMC. Although the C228T mutation was more highly detected than the C250T mutation (64 cases vs. 7 cases), there were no significant clinicopathological differences.
Conclusion
This study is the first attempt to investigate the frequency of TERT promoter mutations in a real-world setting. The frequency of TERT promoter mutations in PTC was lower than expected, and in PTMC, young patients, and female patients, the frequency was very low.

Citations

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TERT Promoter Mutations Frequency Across Race, Sex, and Cancer Type
Talal El Zarif, Marc Machaalani, Rashad Nawfal, Amin H Nassar, Wanling Xie, Toni K Choueiri, Mark Pomerantz
The Oncologist.2024; 29(1): 8. CrossRef
Gene mutations as predictors of central lymph mode metastasis in cN0 PTC: A meta‐analysis
Jiaqi Ji, Xinlong Shi
Clinical Genetics.2024; 105(2): 130. CrossRef
Risk stratification by combining common genetic mutations and TERT promoter methylation in papillary thyroid cancer
Ye Sang, Guanghui Hu, Junyu Xue, Mengke Chen, Shubin Hong, Rengyun Liu
Endocrine.2024;[Epub] CrossRef
Shortened telomere length in peripheral blood leukocytes is associated with cumulative radioactive iodine doses in patients with differentiated thyroid carcinoma
Hoonsung Choi, Sun Wook Cho, Hwan Hee Kim, Ka Hee Yi, Do Joon Park, Young Joo Park
Cancer.2024;[Epub] CrossRef
Deciphering the Functions of Telomerase Reverse Transcriptase in Head and Neck Cancer
Tsung-Jang Yeh, Chi-Wen Luo, Jeng-Shiun Du, Chien-Tzu Huang, Min-Hung Wang, Tzer-Ming Chuang, Yuh-Ching Gau, Shih-Feng Cho, Yi-Chang Liu, Hui-Hua Hsiao, Li-Tzong Chen, Mei-Ren Pan, Hui-Ching Wang, Sin-Hua Moi
Biomedicines.2023; 11(3): 691. 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
Thyroid Cancer, Iodine, and Gene Mutation
Jae Hoon Chung
International Journal of Thyroidology.2023; 16(1): 89. CrossRef
Mortality rate and causes of death in papillary thyroid microcarcinoma
Jung Heo, Hyun Jin Ryu, Hyunju Park, Tae Hyuk Kim, Sun Wook Kim, Young Lyun Oh, Jae Hoon Chung
Endocrine.2023; 83(3): 671. CrossRef
TERT promoter mutations in thyroid cancer
Michiko Matsuse, Norisato Mitsutake
Endocrine Journal.2023; 70(11): 1035. CrossRef
TERT Promoter and BRAF V600E Mutations in Papillary Thyroid Cancer: A Single-Institution Experience in Korea
Min Jhi Kim, Jin Kyong Kim, Gi Jeong Kim, Sang-Wook Kang, Jandee Lee, Jong Ju Jeong, Woong Youn Chung, Daham Kim, Kee-Hyun Nam
Cancers.2022; 14(19): 4928. CrossRef
Frequency of TERT Promoter Mutations in Real-World Analysis of 2,092 Thyroid Carcinoma Patients (Endocrinol Metab 2022;37:652-63, Heera Yang et al.)
Hyunju Park, Jae Hoon Chung
Endocrinology and Metabolism.2022; 37(6): 949. CrossRef
Frequency of TERT Promoter Mutations in Real-World Analysis of 2,092 Thyroid Carcinoma Patients (Endocrinol Metab 2022;37:652-63, Heera Yang et al.)
Sue Youn Kim, Chan Kwon Jung
Endocrinology and Metabolism.2022; 37(6): 947. CrossRef

Diabetes, Obesity and Metabolism
Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes: Han-sang Baek, Ji-Yeon Park, Jin Yu, Joonyub Lee, Yeoree Yang, Jeonghoon Ha, Seung Hwan Lee, Jae Hyoung Cho, Dong-Jun Lim, Hun-Sung Kim; Endocrinol Metab. 2022;37(4):641-651. Published online August 29, 2022; DOI: https://doi.org/10.3803/EnM.2022.1501

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Background
The prevalence of young-onset diabetes (YOD) has been increasing worldwide. As the incidence of YOD increases, it is necessary to determine the characteristics of YOD and the factors that influence its development and associated complications.
Methods
In this retrospective study, we recruited patients who were diagnosed with type 2 diabetes mellitus between June 2001 and December 2021 at a tertiary hospital. The study population was categorized according to age: YOD (age <40 years), middle-age-onset diabetes (MOD, 40≤ age <65 years), and late-onset diabetes (LOD, age ≥65 years). We examined trends in glycemic control by analyzing fasting glucose levels during the first year in each age group. A Cox proportional-hazards model was used to determine the relative risk of developing complications according to glycemic control trends.
Results
The fasting glucose level at the time of diagnosis was highest in the YOD group (YOD 149±65 mg/dL; MOD 143±54 mg/dL; and LOD 140±55 mg/dL; p=0.009). In the YOD group, glucose levels decreased at 3 months, but increased by 12 months. YOD patients and those with poor glycemic control in the first year were at a higher risk of developing complications, whereas the risk in patients with LOD was not statistically significant.
Conclusion
YOD patients had higher glucose levels at diagnosis, and their glycemic control was poorly maintained. As poor glycemic control can influence the development of complications, especially in young patients, intensive treatment is necessary for patients with YOD.

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Increased risk of incident mental disorders in adults with new-onset type 1 diabetes diagnosed after the age of 19: A nationwide cohort study
Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
Diabetes & Metabolism.2024; 50(1): 101505. CrossRef
Association between age at diagnosis of type 2 diabetes and cardiovascular morbidity and mortality risks: A nationwide population-based study
Da Hea Seo, Mina Kim, Young Ju Suh, Yongin Cho, Seong Hee Ahn, Seongbin Hong, So Hun Kim
Diabetes Research and Clinical Practice.2024; 208: 111098. CrossRef
Impact of diabetes distress on glycemic control and diabetic complications in type 2 diabetes mellitus
Hye-Sun Park, Yongin Cho, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, Young Ju Suh, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Kwan Woo Lee, So Hun Kim
Scientific Reports.2024;[Epub] CrossRef
Early onset type 2 diabetes mellitus: an update
Myrsini Strati, Melpomeni Moustaki, Theodora Psaltopoulou, Andromachi Vryonidou, Stavroula A. Paschou
Endocrine.2024;[Epub] CrossRef
Complications and Treatment of Early-Onset Type 2 Diabetes
Fahimeh Soheilipour, Naghmeh Abbasi Kasbi, Mahshid Imankhan, Delaram Eskandari
International Journal of Endocrinology and Metabolism.2023;[Epub] CrossRef
Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes (Endocrinol Metab 2022;37:641-51, Han-sang Baek et al.)
Han-sang Baek, Ji-Yeon Park, Jin Yu, Joonyub Lee, Yeoree Yang, Jeonghoon Ha, Seung Hwan Lee, Jae Hyoung Cho, Dong-Jun Lim, Hun-Sung Kim
Endocrinology and Metabolism.2022; 37(6): 945. CrossRef
ISPAD Clinical Practice Consensus Guidelines 2022: Management of the child, adolescent, and young adult with diabetes in limited resource settings
Anju Virmani, Stuart J. Brink, Angela Middlehurst, Fauzia Mohsin, Franco Giraudo, Archana Sarda, Sana Ajmal, Julia E. von Oettingen, Kuben Pillay, Supawadee Likitmaskul, Luis Eduardo Calliari, Maria E. Craig
Pediatric Diabetes.2022; 23(8): 1529. CrossRef
Characteristics of Glycemic Control and Long-Term Complications in Patients with Young-Onset Type 2 Diabetes (Endocrinol Metab 2022;37:641-51, Han-sang Baek et al.)
May Thu Hla Aye, Sajid Adhi Raja, Vui Heng Chong
Endocrinology and Metabolism.2022; 37(6): 943. CrossRef

Diabetes, Obesity and Metabolism
High Cardiorespiratory Fitness Protects against Molecular Impairments of Metabolism, Heart, and Brain with Higher Efficacy in Obesity-Induced Premature Aging: Patcharapong Pantiya, Chanisa Thonusin, Natticha Sumneang, Benjamin Ongnok, Titikorn Chunchai, Sasiwan Kerdphoo, Thidarat Jaiwongkam, Busarin Arunsak, Natthaphat Siri-Angkul, Sirawit Sriwichaiin, Nipon Chattipakorn, Siriporn C. Chattipakorn; Endocrinol Metab. 2022;37(4):630-640. Published online August 5, 2022; DOI: https://doi.org/10.3803/EnM.2022.1430

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Background
High cardiorespiratory fitness (CRF) protects against age-related diseases. However, the mechanisms mediating the protective effect of high intrinsic CRF against metabolic, cardiac, and brain impairments in non-obese versus obese conditions remain incompletely understood. We aimed to identify the mechanisms through which high intrinsic CRF protects against metabolic, cardiac, and brain impairments in non-obese versus obese untrained rats.
Methods
Seven-week-old male Wistar rats were divided into two groups (n=8 per group) to receive either a normal diet or a highfat diet (HFD). At weeks 12 and 28, CRF, carbohydrate and fatty acid oxidation, cardiac function, and metabolic parameters were evaluated. At week 28, behavior tests were performed. At the end of week 28, rats were euthanized to collect heart and brain samples for molecular studies.
Results
The obese rats exhibited higher values for aging-related parameters than the non-obese rats, indicating that they experienced obesity-induced premature aging. High baseline CRF levels were positively correlated with several favorable metabolic, cardiac, and brain parameters at follow-up. Specifically, the protective effects of high CRF against metabolic, cardiac, and brain impairments were mediated by the modulation of body weight and composition, the lipid profile, substrate oxidation, mitochondrial function, insulin signaling, autophagy, apoptosis, inflammation, oxidative stress, cardiac function, neurogenesis, blood-brain barrier, synaptic function, accumulation of Alzheimer’s disease-related proteins, and cognition. Interestingly, this effect was more obvious in HFD-fed rats.
Conclusion
The protective effect of high CRF is mediated by the modulation of several mechanisms. These effects exhibit greater efficacy under conditions of obesity-induced premature aging.

Citations

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Associations that Cardiorespiratory Fitness and Body Mass Index Loss Have with Deficit Accumulation Frailty
KAYLONI OLSON, DENISE K. HOUSTON, JOHNATHAN ROSS, RENA R. WING, FELICIA R. SIMPSON, AMBARISH PANDEY, MICHAEL P. WALKUP, MIA YANG, MARK A. ESPELAND
Medicine & Science in Sports & Exercise.2024; 56(4): 717. CrossRef
Interplay between obesity and aging on myocardial geometry and function: Role of leptin-STAT3-stress signaling
Wei Jin, Fei Tu, Feng Dong, Qinqin Deng, Miyesaier Abudureyimu, Wei Yu, Guo-jun Cai, Jian-ming Pei, Zhaohui Pei, Jun Ren
Biochimica et Biophysica Acta (BBA) - General Subjects.2023; 1867(2): 130281. CrossRef
Epidemiological, mechanistic, and practical bases for assessment of cardiorespiratory fitness and muscle status in adults in healthcare settings
Jaime A. Gallo-Villegas, Juan C. Calderón
European Journal of Applied Physiology.2023; 123(5): 945. CrossRef

Diabetes, Obesity and Metabolism
The Effects of Irisin on the Interaction between Hepatic Stellate Cell and Macrophage in Liver Fibrosis: Dinh Vinh Do, So Young Park, Giang Thi Nguyen, Dae Hee Choi, Eun-Hee Cho; Endocrinol Metab. 2022;37(4):620-629. Published online July 22, 2022; DOI: https://doi.org/10.3803/EnM.2022.1412

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Background
Hepatic stellate cells (HSCs) are the central players interacting with multiple cell types in liver fibrosis. The crosstalk between HSCs and macrophages has recently become clearer. Irisin, an exercise-responsive myokine, was known to have a potentially protective role in liver and renal fibrosis, especially in connection with stellate cells. This study investigated the effects of irisin on the interaction between HSCs and macrophages.
Methods
Tamm-Horsfall protein-1 (THP-1) human monocytes were differentiated into macrophages, polarized into the inflammatory M1 phenotype with lipopolysaccharide. Lieming Xu-2 (LX-2) cells, human HSCs, were treated with conditioned media (CM) from M1 macrophages, with or without recombinant irisin. HSCs responses to CM from M1 macrophages were evaluated regarding activation, proliferation, wound healing, trans-well migration, contractility, and related signaling pathway.
Results
CM from M1 macrophages significantly promoted HSC proliferation, wound healing, transwell migration, and contractility, but not activation of HSCs. Irisin co-treatment attenuated these responses of HSCs to CM. However, CM and irisin treatment did not induce any changes in HSC activation. Further, irisin co-treatment alleviated CM-induced increase of phopho-protein kinase B (pAKT), matrix metalloproteinase-9 (MMP-9), and tissue inhibitor of metalloproteinases-1 (TIMP-1).
Conclusion
These findings suggested that irisin may play a protective role in the pathogenesis of liver fibrosis, especially when working in the crosstalk between HSCs and macrophages.

Citations

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Matrix metalloproteinases induce extracellular matrix degradation through various pathways to alleviate hepatic fibrosis
Liang Shan, Fengling Wang, Dandan Zhai, Xiangyun Meng, Jianjun Liu, Xiongwen Lv
Biomedicine & Pharmacotherapy.2023; 161: 114472. CrossRef
Potential role of irisin in digestive system diseases
Yueming Zhang, Linxian Zhao, Huan Gao, Jinghui Zhai, Yanqing Song
Biomedicine & Pharmacotherapy.2023; 166: 115347. CrossRef
The effect of sarcopenia and serum myokines on prognosis and survival in cirrhotic patients: a multicenter cross-sectional study
Salih Boga, Abdullah Emre Yildirim, Enver Ucbilek, Ali Riza Koksal, Sevil Tokdemir Sisman, Ibrahim Durak, Ilker Sen, Beril Dogu, Erdinc Serin, Ayse Bolat Ucbilek, Makbule Ozge Yildirim, Sukru Mehmet Erturk, Huseyin Alkim, Canan Alkim
European Journal of Gastroenterology & Hepatology.2022; 34(12): 1261. CrossRef

Editorial

Calcium & Bone Metabolism
A Meaningful Journey to Predict Fractures with Deep Learning: Jeonghoon Ha; Endocrinol Metab. 2022;37(4):617-619. Published online August 29, 2022; DOI: https://doi.org/10.3803/EnM.2022.403

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