- Calcium & bone metabolism
- Protein Signatures of Parathyroid Adenoma according to Tumor Volume and Functionality
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Sung Hye Kong, Jeong Mo Bae, Jung Hee Kim, Sang Wan Kim, Dohyun Han, Chan Soo Shin
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Endocrinol Metab. 2024;39(2):375-386. Published online March 21, 2024
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DOI: https://doi.org/10.3803/EnM.2023.1827
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Abstract
PDFSupplementary MaterialPubReader ePub
- Background
Parathyroid adenoma (PA) is a common endocrine disease linked to multiple complications, but the pathophysiology of the disease remains incompletely understood. The study aimed to identify the key regulator proteins and pathways of PA according to functionality and volume through quantitative proteomic analyses.
Methods We conducted a retrospective study of 15 formalin-fixed, paraffin-embedded PA samples from tertiary hospitals in South Korea. Proteins were extracted, digested, and the resulting peptides were analyzed using liquid chromatography-tandem mass spectrometry. Pearson correlation analysis was employed to identify proteins significantly correlated with clinical variables. Canonical pathways and transcription factors were analyzed using Ingenuity Pathway Analysis.
Results The median age of the participants was 52 years, and 60.0% were female. Among the 8,153 protein groups analyzed, 496 showed significant positive correlations with adenoma volume, while 431 proteins were significantly correlated with parathyroid hormone (PTH) levels. The proteins SLC12A9, LGALS3, and CARM1 were positively correlated with adenoma volume, while HSP90AB2P, HLA-DRA, and SCD5 showed negative correlations. DCPS, IRF2BPL, and FAM98A were the main proteins that exhibited positive correlations with PTH levels, and SLITRK4, LAP3, and AP4E1 had negative correlations. Canonical pathway analysis demonstrated that the RAN and sirtuin signaling pathways were positively correlated with both PTH levels and adenoma volume, while epithelial adherence junction pathways had negative correlations.
Conclusion Our study identified pivotal proteins and pathways associated with PA, offering potential therapeutic targets. These findings accentuate the importance of proteomics in understanding disease pathophysiology and the need for further research.
- Calcium & bone metabolism
- Bone Loss after Solid Organ Transplantation: A Review of Organ-Specific Considerations
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Kyoung Jin Kim, Jeonghoon Ha, Sang Wan Kim, Jung-Eun Kim, Sihoon Lee, Han Seok Choi, Namki Hong, Sung Hye Kong, Seong Hee Ahn, So Young Park, Ki-Hyun Baek, on Behalf of Metabolic Bone Disease Study Group of Korean Endocrine Society
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Endocrinol Metab. 2024;39(2):267-282. Published online April 25, 2024
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DOI: https://doi.org/10.3803/EnM.2024.1939
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PDFPubReader ePub
- This review article investigates solid organ transplantation-induced osteoporosis, a critical yet often overlooked issue, emphasizing its significance in post-transplant care. The initial sections provide a comprehensive understanding of the prevalence and multifactorial pathogenesis of transplantation osteoporosis, including factors such as deteriorating post-transplantation health, hormonal changes, and the impact of immunosuppressive medications. Furthermore, the review is dedicated to organ-specific considerations in transplantation osteoporosis, with separate analyses for kidney, liver, heart, and lung transplantations. Each section elucidates the unique challenges and management strategies pertinent to transplantation osteoporosis in relation to each organ type, highlighting the necessity of an organ-specific approach to fully understand the diverse manifestations and implications of transplantation osteoporosis. This review underscores the importance of this topic in transplant medicine, aiming to enhance awareness and knowledge among clinicians and researchers. By comprehensively examining transplantation osteoporosis, this study contributes to the development of improved management and care strategies, ultimately leading to improved patient outcomes in this vulnerable group. This detailed review serves as an essential resource for those involved in the complex multidisciplinary care of transplant recipients.
- Calcium & Bone Metabolism
- Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm
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Sung Hye Kong, Jae-Won Lee, Byeong Uk Bae, Jin Kyeong Sung, Kyu Hwan Jung, Jung Hee Kim, Chan Soo Shin
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Endocrinol Metab. 2022;37(4):674-683. Published online August 5, 2022
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DOI: https://doi.org/10.3803/EnM.2022.1461
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Abstract
PDFSupplementary MaterialPubReader ePub
- 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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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; 42(6): 1356. 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 - Deep learning in the radiologic diagnosis of osteoporosis: a literature review
Yu He, Jiaxi Lin, Shiqi Zhu, Jinzhou Zhu, Zhonghua Xu Journal of International Medical Research.2024;[Epub] 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
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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
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- Calcium & Bone Metabolism
- Effect of Vitamin D Supplementation on Risk of Fractures and Falls According to Dosage and Interval: A Meta-Analysis
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Sung Hye Kong, Han Na Jang, Jung Hee Kim, Sang Wan Kim, Chan Soo Shin
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Endocrinol Metab. 2022;37(2):344-358. Published online April 25, 2022
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DOI: https://doi.org/10.3803/EnM.2021.1374
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Abstract
PDFSupplementary MaterialPubReader ePub
- Background
Although recent studies comparing various dosages and intervals of vitamin D supplementation have been published, it is yet to be elucidated whether there is an appropriate dose or interval to provide benefit regarding fracture risk. We aimed to assess the published evidence available to date regarding the putative beneficial effects of vitamin D supplements on fractures and falls according to various dosages and intervals.
Methods We performed a meta-analysis of randomized controlled studies reporting associations between vitamin D supplementation and the risks of fractures and falls in PubMed, EMBASE, and Cochrane library. Studies with supplements of ergocalciferol or calcitriol, those with a number of event ≤10, or those with a follow-up duration of less than 6 months were also excluded.
Results Thirty-two studies were included in the final analysis. Vitamin D supplementation with daily dose of 800 to 1,000 mg was associated with lower risks of osteoporotic fracture and fall (pooled relative risk [RR], 0.87; 95% confidence interval [CI], 0.78 to 0.97 and RR, 0.91; 95% CI, 0.85 to 0.98), while studies with <800 or >1,000 mg/day did not. Also, among intervals, daily administration of vitamin D was associated with the reduced risk of falls, while intermittent dose was not. Also, patients with vitamin D deficiency showed a significant risk reduction of falls after vitamin D supplementation.
Conclusion Daily vitamin D dose of 800 to 1,000 IU was the most probable way to reduce the fracture and fall risk. Further studies designed with various regimens and targeted vitamin D levels are required to elucidate the benefits of vitamin D supplements.
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- Ukrainian Consensus on Diagnosis and Management of Vitamin D Deficiency in Adults
Nataliia Grygorieva, Mykola Tronko, Volodymir Kovalenko, Serhiy Komisarenko, Tetiana Tatarchuk, Ninel Dedukh, Mykola Veliky, Serhiy Strafun, Yulia Komisarenko, Andrii Kalashnikov, Valeria Orlenko, Volodymyr Pankiv, Oleg Shvets, Inna Gogunska, Svitlana Reg Nutrients.2024; 16(2): 270. CrossRef - Vitamin D Supplementation: A Review of the Evidence Arguing for a Daily Dose of 2000 International Units (50 µg) of Vitamin D for Adults in the General Population
Pawel Pludowski, William B. Grant, Spyridon N. Karras, Armin Zittermann, Stefan Pilz Nutrients.2024; 16(3): 391. CrossRef - Clinical Characteristics and Outcomes of Limb Fractures in Saudi Children
Lamia Aldhbiban, Fai Alhoshan, Raghad Alomari, Shahad A Almatrafi, Yousef Alanazi, Samir Alsayegh, Haifa Y Alfaraidi, Ayman H Jawadi, Fahad N Aljuraibah Cureus.2024;[Epub] CrossRef - The interplay of rheumatoid arthritis and osteoporosis: exploring the pathogenesis and pharmacological approaches
Nikhil Gupta, Navjot Kanwar, Anchal Arora, Kavin Khatri, Abhinav Kanwal Clinical Rheumatology.2024; 43(5): 1421. CrossRef - The multi-faceted nature of age-associated osteoporosis
A.E. Smit, O.C. Meijer, E.M. Winter Bone Reports.2024; 20: 101750. CrossRef - Vitamin D Deficiency in Patients With Low-Energy Hip Fractures in Accordance With the Mediterranean Paradox
Christos Konstantinidis, Ourania Psoma, Christos Kotsias, Vasileios Panagiotopoulos , Sotiris Plakoutsis, Dimitrios Tsiampas, Dimitrios Vardakas, Dimitrios Giotis Cureus.2024;[Epub] CrossRef - Effect of vitamin D, calcium, or combined supplementation on fall prevention: a systematic review and updated network meta-analysis
Long Tan, Ruiqian He, Xiaoxue Zheng BMC Geriatrics.2024;[Epub] CrossRef - Association of vitamin and/or nutritional supplements with fall among patients with diabetes: A prospective study based on ACCORD and UK Biobank
Lingfang He, Tianqi Ma, Guogang Zhang, Xunjie Cheng, Yongping Bai Frontiers in Nutrition.2023;[Epub] CrossRef - Vitamin D and Calcium in Osteoporosis, and the Role of Bone Turnover Markers: A Narrative Review of Recent Data from RCTs
Gavriela Voulgaridou, Sousana K. Papadopoulou, Paraskevi Detopoulou, Despoina Tsoumana, Constantinos Giaginis, Foivi S. Kondyli, Evgenia Lymperaki, Agathi Pritsa Diseases.2023; 11(1): 29. CrossRef - Recent advances in the identification of related factors and preventive strategies of hip fracture
Yaohui Yu, Yudan Wang, Xiaoli Hou, Faming Tian Frontiers in Public Health.2023;[Epub] CrossRef - Can Nutrition Contribute to a Reduction in Sarcopenia, Frailty, and Comorbidities in a Super-Aged Society?
Sadao Yoshida, Ryo Shiraishi, Yuki Nakayama, Yasuko Taira Nutrients.2023; 15(13): 2991. CrossRef - Safety Profile of Vitamin D in Italy: An Analysis of Spontaneous Reports of Adverse Reactions Related to Drugs and Food Supplements
Valentina Maggini, Giada Crescioli, Ilaria Ippoliti, Eugenia Gallo, Francesca Menniti-Ippolito, Adelaide Chiaravalloti, Vittorio Mascherini, Roberto Da Cas, Simona Potenza, Giulia Gritti, Maria Galiulo, Laura Sottosanti, Alfredo Vannacci, Niccolò Lombardi Journal of Clinical Medicine.2023; 12(14): 4726. CrossRef - Cholecalciferol Use Is Associated With a Decreased Risk of Incident Morphometric Vertebral Fractures in Acromegaly
Sabrina Chiloiro, Stefano Frara, Irene Gagliardi, Antonio Bianchi, Antonella Giampietro, Margherita Medici, Agnese Allora, Luigi di Filippo, Maria Rosaria Ambrosio, Alfredo Pontecorvi, Maria Chiara Zatelli, Laura De Marinis, Andrea Giustina The Journal of Clinical Endocrinology & Metabolism.2023; 109(1): e58. CrossRef - Proceedings of the 2023 Santa Fe Bone Symposium: Progress and Controversies in the Management of Patients with Skeletal Diseases
E. Michael Lewiecki, Teresita Bellido, John P. Bilezikian, Jacques P. Brown, Azeez Farooki, Christopher S. Kovacs, Brendan Lee, William D. Leslie, Michael R. McClung, Mark L. Prasarn, Deborah E. Sellmeyer Journal of Clinical Densitometry.2023; 26(4): 101432. CrossRef - Diagnosis, prevention and treatment of vitamin D deficiency in adults: Ukrainian experts consensus statement
N.V. Grygorieva, M.D. Tronko, V.M. Kovalenko, S.V. Komisarenko, T.F. Tatarchuk, N.V. Dedukh, M.M. Veliky, S.S. Strafun, Y.I. Komisarenko, A.V. Kalashnikov, V.L. Orlenko, V.I. Pankiv, O.V. Shvets, I.V. Gogunska, S.I. Regeda PAIN, JOINTS, SPINE.2023; 13(2): 60. CrossRef - Serum 25-Hydroxyvitamin D Level Is Negatively Associated with Fatigue in Elderly Maintenance Hemodialysis Patients
Menglin Pang, Lin Chen, Na Jiang, Mengmeng Jiang, Baofeng Wang, Lili Wang, Xiao-yan Jia Kidney and Blood Pressure Research.2023; 48(1): 231. CrossRef - Vitamin D for Clinical Diseases in Women: An Indispensable Factor in Medicine and Dentistry
Dario Calafiore, Leonzio Fortunato, Mario Migliario Journal of Clinical Medicine.2022; 11(11): 3104. CrossRef - Malnutrition in Older Adults—Effect on Falls and Fractures: A Narrative Review
Malgorzata Kupisz-Urbanska, Ewa Marcinowska-Suchowierska Nutrients.2022; 14(15): 3123. CrossRef - Role of vitamin D supplementation in the management of musculoskeletal diseases: update from an European Society of Clinical and Economical Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) working group
Thierry Chevalley, Maria Luisa Brandi, Kevin D. Cashman, Etienne Cavalier, Nicholas C. Harvey, Stefania Maggi, Cyrus Cooper, Nasser Al-Daghri, Oliver Bock, Olivier Bruyère, Mario Miguel Rosa, Bernard Cortet, Alfonso J. Cruz-Jentoft, Antonio Cherubini, Bes Aging Clinical and Experimental Research.2022; 34(11): 2603. CrossRef - The Relationship of Osteoporosis with Menopause: Review of Article
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- Calcium & Bone Metabolism
- Applications of Machine Learning in Bone and Mineral Research
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Sung Hye Kong, Chan Soo Shin
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Endocrinol Metab. 2021;36(5):928-937. Published online October 21, 2021
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DOI: https://doi.org/10.3803/EnM.2021.1111
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Abstract
PDFPubReader ePub
- In this unprecedented era of the overwhelming volume of medical data, machine learning can be a promising tool that may shed light on an individualized approach and a better understanding of the disease in the field of osteoporosis research, similar to that in other research fields. This review aimed to provide an overview of the latest studies using machine learning to address issues, mainly focusing on osteoporosis and fractures. Machine learning models for diagnosing and classifying osteoporosis and detecting fractures from images have shown promising performance. Fracture risk prediction is another promising field of research, and studies are being conducted using various data sources. However, these approaches may be biased due to the nature of the techniques or the quality of the data. Therefore, more studies based on the proposed guidelines are needed to improve the technical feasibility and generalizability of artificial intelligence algorithms.
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Citations
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- Predicting postoperative outcomes in lumbar spinal fusion: development of a machine learning model
Lukas Schönnagel, Thomas Caffard, Tu-Lan Vu-Han, Jiaqi Zhu, Isaac Nathoo, Kyle Finos, Gaston Camino-Willhuber, Soji Tani, Ali. E. Guven, Henryk Haffer, Maximilian Muellner, Artine Arzani, Erika Chiapparelli, Krizia Amoroso, Jennifer Shue, Roland Duculan, The Spine Journal.2024; 24(2): 239. 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 - Applying machine learning classification techniques for disease diagnosis from medical imaging data using Transformer based Attention Guided CNN (TAGCNN)
Saleh Alyahyan Multimedia Tools and Applications.2024;[Epub] CrossRef - Development and validation of common data model-based fracture prediction model using machine learning algorithm
Sung Hye Kong, Sihyeon Kim, Yisak Kim, Jung Hee Kim, Kwangsoo Kim, Chan Soo Shin Osteoporosis International.2023; 34(8): 1437. CrossRef - Machine learning algorithms for predicting the risk of fracture in patients with diabetes in China
Sijia Chu, Aijun Jiang, Lyuzhou Chen, Xi Zhang, Xiurong Shen, Wan Zhou, Shandong Ye, Chao Chen, Shilu Zhang, Li Zhang, Yang Chen, Ya Miao, Wei Wang Heliyon.2023; 9(7): e18186. CrossRef - Leveraging Artificial Intelligence and Machine Learning in Regenerative Orthopedics: A Paradigm Shift in Patient Care
Madhan Jeyaraman, Harish V K Ratna, Naveen Jeyaraman, Aakaash Venkatesan, Swaminathan Ramasubramanian , Sankalp Yadav Cureus.2023;[Epub] CrossRef - Quality use of artificial intelligence in medical imaging: What do radiologists need to know?
Stacy K Goergen, Helen ML Frazer, Sandeep Reddy Journal of Medical Imaging and Radiation Oncology.2022; 66(2): 225. CrossRef
- Clinical Study
- Radioactive Parathyroid Adenomas on Sestamibi Scans: Low Parathyroid Hormone Secretory Potential and Large Volume
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Sung Hye Kong, Jung Hee Kim, Sang Wan Kim, Chan Soo Shin
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Endocrinol Metab. 2021;36(2):351-358. Published online April 6, 2021
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DOI: https://doi.org/10.3803/EnM.2020.823
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Abstract
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- Background
We investigated the clinical characteristics of parathyroid adenomas according to radioactivity on 99mTc-methoxyisobutylisonitrile (99mTc-MIBI) single-photon emission computed tomography/computed tomography (SPECT/CT) in primary hyperparathyroidism (PHPT) patients.
Methods The study included 217 patients diagnosed with PHPT from 2000 to 2019 at Seoul National University Hospital who underwent 99mTc-MIBI SPECT/CT scans. On SPECT/CT, the radioactivity of parathyroid adenomas was measured as the ratio of the mean radioactivity count of the parathyroid adenoma to that of the contralateral thyroid.
Results Tumors were localized by MIBI scans in 190 patients (MIBI [+] group) and by ultrasound or parathyroid four-dimensional CT in 27 patients (MIBI [–] group). The mean age was 55 years, and mean body mass index was 23.4 kg/m2. Patients in the MIBI (+) group had higher parathyroid hormone (iPTH) and lower 25-hydroxy vitamin D levels than those in the MIBI (–) group (168.0 pg/mL [interquartile range, IQR, 111.0 to 250.7] vs. 134.7 pg/mL [IQR, 98.2 to 191.2], P=0.049; 15.4 ng/mL [IQR, 11.1 to 20.8] vs. 21.2 ng/mL [IQR, 13.9 to 24.8], P=0.012, respectively). Patients in the MIBI (+) group had larger tumor volumes, but lower iPTH/volume ratios than those in the MIBI (–) group (1,216.66 [IQR, 513.40 to 2,663.02], 499.82 mm3 [IQR, 167.77 to 1,229.80], P=0.002; 0.18 [IQR, 0.08 to 0.46], 0.40 pg/mL/mm3 [IQR, 0.16 to 1.29], P=0.016, respectively). Adenoma radioactivity was positively correlated with calcium, iPTH, and volume (r=0.180, P=0.020; r=0.208, P=0.006; r=0.288, P<0.001, respectively), but not with iPTH/volume.
Conclusion Parathyroid adenomas with positive MIBI scans had larger volumes and higher iPTH than adenomas with negative scans, but lower iPTH per unit volume.
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Citations
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- Protein Signatures of Parathyroid Adenoma according to Tumor Volume and Functionality
Sung Hye Kong, Jeong Mo Bae, Jung Hee Kim, Sang Wan Kim, Dohyun Han, Chan Soo Shin Endocrinology and Metabolism.2024; 39(2): 375. CrossRef - Incidentally detected follicular thyroid carcinoma mimicking parathyroid adenoma on Tc-99m MIBI scan: A case report
Yeon-Hee Han, Hwan-Jeong Jeong, Sun Young Lee, Seok Tae Lim Medicine.2024; 103(18): e38107. CrossRef - Atypical parathyroid tumor: clinical and parathyroid hormone response to surgical treatment
Antonio Giulio Napolitano, Massimo Monacelli, Valeria Liparulo, Eleonora Coviello, Domenico Pourmolkara, Stefano Avenia, Andrea Polistena Annals of Surgical Treatment and Research.2023; 105(2): 76. CrossRef - The Relationship between Planar and SPECT/CT Parameters and Functional Markers in Primary Hyperparathyroidism
Guler Silov, Serpil Erdogan Ozbodur Diagnostics.2023; 13(20): 3182. CrossRef
- Clinical Study
- Identification of Novel Genetic Variants Related to Trabecular Bone Score in Community-Dwelling Older Adults
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Sung Hye Kong, Ji Won Yoon, Jung Hee Kim, JooYong Park, Jiyeob Choi, Ji Hyun Lee, A Ram Hong, Nam H. Cho, Chan Soo Shin
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Endocrinol Metab. 2020;35(4):801-810. Published online November 24, 2020
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DOI: https://doi.org/10.3803/EnM.2020.735
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Abstract
PDFSupplementary MaterialPubReader ePub
- Background
As the genetic variants of trabecular bone microarchitecture are not well-understood, we performed a genome-wide association study to identify genetic determinants of bone microarchitecture analyzed by trabecular bone score (TBS).
Methods TBS-associated genes were discovered in the Ansung cohort (discovery cohort), a community-based rural cohort in Korea, and then validated in the Gene-Environment Interaction and Phenotype (GENIE) cohort (validation cohort), consisting of subjects who underwent health check-up programs. In the discovery cohort, 2,451 participants were investigated for 1.42 million genotyped and imputed markers.
Results In the validation cohort, identified as significant variants were evaluated in 2,733 participants. An intronic variant in iroquois homeobox 3 (IRX3), rs1815994, was significantly associated with TBS in men (P=3.74E-05 in the discovery cohort, P=0.027 in the validation cohort). Another intronic variant in mitogen-activated protein kinase kinase 5 (MAP2K5), rs11630730, was significantly associated with TBS in women (P=3.05E-09 in the discovery cohort, P=0.041 in the validation cohort). Men with the rs1815994 variant and women with the rs11630730 variant had lower TBS and lumbar spine bone mineral density. The detrimental effects of the rs1815994 variant in men and rs11630730 variant in women were also identified in association analysis (β=–0.0281, β=–0.0465, respectively).
Conclusion In this study, the rs1815994 near IRX3 in men and rs11630730 near MAP2K5 in women were associated with deterioration of the bone microarchitecture. It is the first study to determine the association of genetic variants with TBS. Further studies are needed to confirm our findings and identify additional variants contributing to the trabecular bone microarchitecture.
- Clinical Study
- Subclinical Hypothyroidism Affects the Long-Term Outcomes of Patients Who Undergo Coronary Artery Bypass Grafting Surgery but Not Heart Valve Surgery
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Hana Kim, Sung Hye Kong, Jae Hoon Moon, Sang Yoon Kim, Kay-Hyun Park, Jun Sung Kim, Joong Haeng Choh, Young Joo Park, Cheong Lim
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Endocrinol Metab. 2020;35(2):308-318. Published online June 24, 2020
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DOI: https://doi.org/10.3803/EnM.2020.35.2.308
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Abstract
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- Background
The aim of this study was to determine the associations between subclinical hypothyroidism (SCH) and long-term cardiovascular outcomes after coronary artery bypass grafting (CABG) or heart valve surgery (HVS).
Methods We retrospectively reviewed and compared all-cause mortality, cardiovascular mortality, and cardiovascular events in 461 patients who underwent CABG and 104 patients who underwent HVS.
Results During a mean±standard deviation follow-up duration of 7.6±3.8 years, there were 187 all-cause deaths, 97 cardiovascular deaths, 127 major adverse cardiovascular events (MACE), 11 myocardial infarctions, one unstable angina, 70 strokes, 30 hospitalizations due to heart failure, 101 atrial fibrillation, and 33 coronary revascularizations. The incidence of all-cause mortality after CABG was significantly higher in patients with SCH (n=36, 55.4%) than in euthyroid patients (n=120, 30.3%), with a hazard ratio of 1.70 (95% confidence interval, 1.10 to 2.63; P=0.018) after adjustment for age, sex, current smoking status, body mass index, underlying diseases, left ventricular dysfunction, and emergency operation. Interestingly, low total triiodothyronine (T3) levels in euthyroid patients who underwent CABG were significantly associated with increased risks of all-cause mortality, cardiovascular mortality, and MACE, but those associations were not observed in HVS patients. Both free thyroxine and thyroid-stimulating hormone levels in euthyroid patients were not related with any cardiovascular outcomes in either the CABG or HVS group.
Conclusion SCH or low total T3 might be associated with a poor prognosis after CABG, but not after HVS, implying that preoperative thyroid hormonal status may be important in ischemic heart disease patients.
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- Clinical Study
- Protein Expression of Cyclin B1, Transferrin Receptor, and Fibronectin Is Correlated with the Prognosis of Adrenal Cortical Carcinoma
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Sun Joon Moon, Jung Hee Kim, Sung Hye Kong, Chan Soo Shin
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Endocrinol Metab. 2020;35(1):132-141. Published online March 19, 2020
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DOI: https://doi.org/10.3803/EnM.2020.35.1.132
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- Background
Adrenal cortical carcinoma (ACC) is a rare cancer with a variable prognosis. Several prognostic factors of ACC have been previously reported, but a proteomic analysis has not yet been performed. This study aimed to investigate prognostic biomarkers for ACC using a proteomic approach. MethodsWe used reverse-phase protein array data from The Cancer Proteome Atlas, and identified differentially expressed proteins in metastatic ACCs. Multivariate Cox regression analysis adjusted by age and staging was used for survival analysis, and the C-index and category-free net reclassification improvement (cfNRI) were utilized to evaluate additive prognostic value. ResultsIn 46 patients with ACC, cyclin B1, transferrin receptor (TfR1), and fibronectin were significantly overexpressed in patients with distant metastasis. In multivariate models, high expression of cyclin B1 and TfR1 was significantly associated with mortality (hazard ratio [HR], 6.13; 95% confidence interval [CI], 1.02 to 36.7; and HR, 6.59; 95% CI, 1.14 to 38.2; respectively), whereas high fibronectin expression was not (HR, 3.92; 95% CI, 0.75 to 20.4). Combinations of high cyclin B1/high TfR1, high cyclin B1/high fibronectin, and high TfR1/high fibronectin were strongly associated with mortality ([HR, 13.72; 95% CI, 1.89 to 99.66], [HR, 9.22; 95% CI, 1.34 to 63.55], and [HR, 18.59; 95% CI, 2.54 to 135.88], respectively). In reclassification analyses, cyclin B1, TfR1, fibronectin, and combinations thereof improved the prognostic performance (C-index, 0.78 to 0.82–0.86; cfNRI, all P values <0.05). ConclusionIn ACC patients, the overexpression of cyclin B1, TfR1, and fibronectin and combinations thereof were associated with poor prognosis.
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Yanfang Shen, Renwei Zhou, Lei Bi, Guolong Huang, Min Yang, Zhijun Li, Jijin Yao, Jianzhong Xian, Yifan Qiu, Peizhen Ye, Yongshan Liu, Yuyi Hou, Hongjun Jin, Ying Wang ACS Omega.2024;[Epub] CrossRef - USP39-mediated deubiquitination of Cyclin B1 promotes tumor cell proliferation and glioma progression
Yue Xiao, Xinyi Chen, Weiwei Hu, Wenjing Ma, Qianqian Di, Haimei Tang, Xibao Zhao, Guodong Huang, Weilin Chen Translational Oncology.2023; 34: 101713. CrossRef - Identification of key genes and pathways in adrenocortical carcinoma: evidence from bioinformatic analysis
Mengsha Yin, Yao Wang, Xinhua Ren, Mingyue Han, Shanshan Li, Ruishuang Liang, Guixia Wang, Xiaokun Gang Frontiers in Endocrinology.2023;[Epub] CrossRef - Identification of Key Genes and Related Drugs of Adrenocortical
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Hai Chen, Xiaoyi Tan, Xueer Han, Liang Ma, Hongjie Dai, Yu Fu, Yuhao Zhang Biotechnology Advances.2022; 61: 108037. CrossRef - Effect of Inactivation of Mst1 and Mst2 in the Mouse Adrenal Cortex
Nour Abou Nader, Étienne Blais, Guillaume St-Jean, Derek Boerboom, Gustavo Zamberlam, Alexandre Boyer Journal of the Endocrine Society.2022;[Epub] CrossRef - Cyclin B1 expression as an independent prognostic factor for lung adenocarcinoma and its potential pathways
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Milad Ashrafizadeh, Kiavash Hushmandi, Ebrahim Rahmani Moghadam, Vahideh Zarrin, Sharareh Hosseinzadeh Kashani, Saied Bokaie, Masoud Najafi, Shima Tavakol, Reza Mohammadinejad, Noushin Nabavi, Chia-Ling Hsieh, Atefeh Zarepour, Ehsan Nazarzadeh Zare, Ali Z Bioengineering.2020; 7(3): 91. CrossRef
- Miscellaneous
- Corrigendum: Author's Name Correction. Study Protocol of Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro)
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Jae Hoon Moon, Ji-hoon Kim, Eun Kyung Lee, Kyu Eun Lee, Sung Hye Kong, Yeo Koon Kim, Woo-Jin Jeong, Chang Yoon Lee, Roh-Eul Yoo, Yul Hwangbo, Young Shin Song, Min Joo Kim, Sun Wook Cho, Su-jin Kim, Eun-Jae Chung, June Young Choi, Chang Hwan Ryu, You Jin Lee, Jeong Hun Hah, Yuh-Seog Jung, Junsun Ryu, Yunji Hwang, Sue K. Park, Ho Kyung Sung, Ka Hee Yi, Do Joon Park, Young Joo Park
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Endocrinol Metab. 2018;33(3):427. Published online August 14, 2018
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DOI: https://doi.org/10.3803/EnM.2018.33.3.427
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3,568
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48
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- Invasiveness and Metastatic Aggressiveness in Small Differentiated Thyroid Cancers: Demography of Small Papillary Thyroid Carcinomas in the Swedish Population
Haytham Bayadsi, Martin Bergman, Malin Sund, Joakim Hennings World Journal of Surgery.2020; 44(2): 461. CrossRef - Clinical and pathologic predictors of lymph node metastasis in papillary thyroid microcarcinomas
Ling Zhao, Xiaoya Sun, Yukun Luo, Fulin Wang, Zhaohui Lyu Annals of Diagnostic Pathology.2020; 49: 151647. CrossRef
- Thyroid
- Star-Shaped Intense Uptake of 131I on Whole Body Scans Can Reflect Good Therapeutic Effects of Low-Dose Radioactive Iodine Treatment of 1.1 GBq
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Sung Hye Kong, Jung Ah Lim, Young Shin Song, Shinje Moon, Ye An Kim, Min Joo Kim, Sun Wook Cho, Jae Hoon Moon, Ka Hee Yi, Do Joon Park, Bo Youn Cho, Young Joo Park
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Endocrinol Metab. 2018;33(2):228-235. Published online May 4, 2018
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DOI: https://doi.org/10.3803/EnM.2018.33.2.228
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5,426
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- Background
After initial radioactive iodine (RAI) treatment in differentiated thyroid cancer patients, we sometimes observe a star-shaped region of intense uptake of 131I on whole body scans (WBSs), called a ‘star artifact.’ We evaluated the clinical implications of star artifacts on the success rate of remnant ablation and long-term prognosis. MethodsTotal 636 patients who received 131I dose of 1.1 GBq for the initial RAI therapy and who did not show distant metastasis at the time of diagnosis were retrospectively evaluated. A negative second WBS was used for evaluating the ablation efficacy of the RAI therapy. Among them, 235 patients (36.9%) showed a star artifact on their first WBS. ResultsIn patients with first stimulated thyroglobulin (sTg) levels ≤2 ng/mL, patients with star artifacts had a higher rate of negative second WBS compared with those without star artifacts (77.8% vs. 63.9%, P=0.044), and showed significantly higher recurrence-free survival (P=0.043) during the median 8.0 years (range, 1.0 to 10.0) of follow-up. The 5- and 10-year recurrence rates (5YRR, 10YRR) were also significantly lower in patients with star artifacts compared with those without (0% vs. 4.9%, respectively, P=0.006 for 5YRR; 0% vs. 6.4%, respectively, P=0.005 for 10YRR). However, ablation success rate or recurrence-free survival was not different among patients whose first sTg levels >2 ng/mL regardless of star artifacts. ConclusionTherefore, star artifacts at initial RAI therapy imply a good ablation efficacy or a favorable long-term prognosis in patients with sTg levels ≤2 ng/mL.
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- Prognostic value of star-shaped intense uptake of 131I in thyroid cancer patients
Liu Xiao, Wen Jie Zhang, Yue Qi Wang, Lin Li Revista Española de Medicina Nuclear e Imagen Molecular (English Edition).2021; 40(1): 30. CrossRef - Valores pronósticos de la captación en estrella de 131I en pacientes con cáncer diferenciado de tiroides
L. Xiao, W.J. Zhang, Y.Q. Wang, L. Li Revista Española de Medicina Nuclear e Imagen Molecular.2021; 40(1): 30. CrossRef - Comparison between planar and single-photon computed tomography images for radiation intensity quantification in iodine-131 scintigraphy
Yusuke Iizuka, Tomohiro Katagiri, Minoru Inoue, Kiyonao Nakamura, Takashi Mizowaki Scientific Reports.2021;[Epub] CrossRef
- Thyroid
- Study Protocol of Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro)
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Jae Hoon Moon, Ji-hoon Kim, Eun Kyung Lee, Kyu Eun Lee, Sung Hye Kong, Yeo Koon Kim, Woo-jin Jung, Chang Yoon Lee, Roh-Eul Yoo, Yul Hwangbo, Young Shin Song, Min Joo Kim, Sun Wook Cho, Su-jin Kim, Eun Jae Jung, June Young Choi, Chang Hwan Ryu, You Jin Lee, Jeong Hun Hah, Yuh-Seog Jung, Junsun Ryu, Yunji Hwang, Sue K. Park, Ho Kyung Sung, Ka Hee Yi, Do Joon Park, Young Joo Park
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Endocrinol Metab. 2018;33(2):278-286. Published online June 21, 2018
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DOI: https://doi.org/10.3803/EnM.2018.33.2.278
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- Background
The ongoing Multicenter Prospective Cohort Study of Active Surveillance on Papillary Thyroid Microcarcinoma (MAeSTro) aims to observe the natural course of papillary thyroid microcarcinoma (PTMC), develop a protocol for active surveillance (AS), and compare the long-term prognosis, quality of life, and medical costs between the AS and immediate surgery groups. MethodsThis multicenter prospective cohort study of PTMC started in June 2016. The inclusion criteria were suspicious of malignancy or malignancy based on fine needle aspiration or core needle biopsy, age of ≥18 years, and a maximum diameter of ≤1 cm. If there was no major organ involvement, no lymph node/distant metastasis, and no variants with poor prognosis, the patients were explained of the pros and cons of immediate surgery and AS before selecting AS or immediate surgery. Follow-up visits (physical examination, ultrasonography, thyroid function, and questionnaires) are scheduled every 6 months during the first 2 years, and then every 1 year thereafter. Progression was defined as a maximum diameter increase of ≥3, ≥2 mm in two dimensions, suspected organ involvement, or lymph node/distant metastasis. ResultsAmong 439 enrolled patients, 290 patients (66.1%) chose AS and 149 patients (33.9%) chose immediate surgery. The median follow-up was 6.7 months (range, 0.2 to 11.9). The immediate surgery group had a larger maximum tumor diameter, compared to the AS group (7.1±1.9 mm vs. 6.6±2.0 mm, respectively; P=0.014). ConclusionThe results will be useful for developing an appropriate PTMC treatment policy based on its natural course and risk factors for progression.
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- Ketonuria as an Indicator of Improvement of Renal Function in Patients with Type 2 Diabetes Receiving SGLT2 Inhibitor Treatment
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Hyun Ah Kim, Han Na Jang, Sung Hye Kong, Young Lee, Sung Hee Choi, Young Min Cho, Hak Chul Jang, Tae Jung Oh
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Received December 27, 2023 Accepted March 26, 2024 Published online May 16, 2024
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DOI: https://doi.org/10.3803/EnM.2024.1919
[Epub ahead of print]
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Abstract
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- We investigated the potential association between ketonuria during treatment with sodium-glucose cotransporter-2 (SGLT2) inhibitors and its renoprotective effect in patients with type 2 diabetes. We included 192 patients who had received SGLT2 inhibitors for more than 6 months. After propensity score matching, 52 patients each were allocated into groups with or without ketonuria, respectively. The estimated glomerular filtration rate exhibited a significant improvement only in subjects with ketonuria (without ketonuria: mean difference, –0.02 mL/min/1.73 m2 [95% confidence interval (CI), –3.87 to 3.83 mL/min/1.73 m2] vs. with ketonuria: mean difference, 6.81 mL/min/1.73 m2 [95% CI, 3.16 to 10.46 mL/min/1.73 m2]; P<0.001). Improvement in estimated glomerular filtration rate at 6 months was associated with female sex and lower baseline body weight, blood pressure, and triglyceride levels in patients with ketonuria. In conclusion, the presence of ketonuria was associated with the renoprotective effect of SGLT2 inhibitors, and female sex and the absence of metabolic syndrome components may serve as additional indicators of these medications’ substantial renoprotective effects in individuals with ketonuria.
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