Endocrinology and Metabolism

Original Articles

Calcium & bone metabolism
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; Endocrinol Metab. 2024;39(2):375-386. Published online March 21, 2024; DOI: https://doi.org/10.3803/EnM.2023.1827

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Abstract PDF Supplementary Material PubReader 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
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.

Citations

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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
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
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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
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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
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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

Calcium & Bone Metabolism
Effect of Vitamin D Supplementation on Risk of Fractures and Falls According to Dosage and Interval: A Meta-Analysis: Sung Hye Kong, Han Na Jang, Jung Hee Kim, Sang Wan Kim, Chan Soo Shin; Endocrinol Metab. 2022;37(2):344-358. Published online April 25, 2022; DOI: https://doi.org/10.3803/EnM.2021.1374

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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.

Citations

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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
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Safety Profile of Vitamin D in Italy: An Analysis of Spontaneous Reports of Adverse Reactions Related to Drugs and Food Supplements
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Adrenal Gland
Outcome-Based Decision-Making Algorithm for Treating Patients with Primary Aldosteronism: Jung Hee Kim, Chang Ho Ahn, Su Jin Kim, Kyu Eun Lee, Jong Woo Kim, Hyun-Ki Yoon, Yu-Mi Lee, Tae-Yon Sung, Sang Wan Kim, Chan Soo Shin, Jung-Min Koh, Seung Hun Lee; Endocrinol Metab. 2022;37(2):369-382. Published online April 14, 2022; DOI: https://doi.org/10.3803/EnM.2022.1391

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Background
Optimal management of primary aldosteronism (PA) is crucial due to the increased risk of cardiovascular and cerebrovascular diseases. Adrenal venous sampling (AVS) is the gold standard method for determining subtype but is technically challenging and invasive. Some PA patients do not benefit clinically from surgery. We sought to develop an algorithm to improve decision- making before engaging in AVS and surgery in clinical practice.
Methods
We conducted the ongoing Korean Primary Aldosteronism Study at two tertiary centers. Study A involved PA patients with successful catheterization and a unilateral nodule on computed tomography and aimed to predict unilateral aldosterone-producing adenoma (n=367). Study B involved similar patients who underwent adrenalectomy and aimed to predict postoperative outcome (n=330). In study A, we implemented important feature selection using the least absolute shrinkage and selection operator regression.
Results
We developed a unilateral PA prediction model using logistic regression analysis: lowest serum potassium level ≤3.4 mEq/L, aldosterone-to-renin ratio ≥150, plasma aldosterone concentration ≥30 ng/mL, and body mass index <25 kg/m2 (area under the curve, 0.819; 95% confidence interval, 0.774 to 0.865; sensitivity, 97.6%; specificity, 25.5%). In study B, we identified female, hypertension duration <5 years, anti-hypertension medication <2.5 daily defined dose, and the absence of coronary artery disease as predictors of clinical success, using stepwise logistic regression models (sensitivity, 94.2%; specificity, 49.3%). We validated our algorithm in the independent validation dataset (n=53).
Conclusion
We propose this new outcome-driven diagnostic algorithm, simultaneously considering unilateral aldosterone excess and clinical surgical benefits in PA patients.

Citations

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Subtype-specific Body Composition and Metabolic Risk in Patients With Primary Aldosteronism
Seung Shin Park, Chang Ho Ahn, Sang Wan Kim, Ji Won Yoon, Jung Hee Kim
The Journal of Clinical Endocrinology & Metabolism.2024; 109(2): e788. CrossRef
Prognostic models to predict complete resolution of hypertension after adrenalectomy in primary aldosteronism: A systematic review and meta‐analysis
Luigi Marzano, Amir Kazory, Faeq Husain‐Syed, Claudio Ronco
Clinical Endocrinology.2023; 99(1): 17. 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
Correlation of Histopathologic Subtypes of Primary Aldosteronism with Clinical Phenotypes and Postsurgical Outcomes
Chang Ho Ahn, You-Bin Lee, Jae Hyeon Kim, Young Lyun Oh, Jung Hee Kim, Kyeong Cheon Jung
The Journal of Clinical Endocrinology & Metabolism.2023;[Epub] CrossRef

Calcium & Bone Metabolism
Unveiling Genetic Variants Underlying Vitamin D Deficiency in Multiple Korean Cohorts by a Genome-Wide Association Study: Ye An Kim, Ji Won Yoon, Young Lee, Hyuk Jin Choi, Jae Won Yun, Eunsin Bae, Seung-Hyun Kwon, So Eun Ahn, Ah-Ra Do, Heejin Jin, Sungho Won, Do Joon Park, Chan Soo Shin, Je Hyun Seo; Endocrinol Metab. 2021;36(6):1189-1200. Published online December 2, 2021; DOI: https://doi.org/10.3803/EnM.2021.1241

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Background
Epidemiological data have shown that vitamin D deficiency is highly prevalent in Korea. Genetic factors influencing vitamin D deficiency in humans have been studied in Europe but are less known in East Asian countries, including Korea. We aimed to investigate the genetic factors related to vitamin D levels in Korean people using a genome-wide association study (GWAS).
Methods
We included 12,642 subjects from three different genetic cohorts consisting of Korean participants. The GWAS was performed on 7,590 individuals using linear or logistic regression meta- and mega-analyses. After identifying significant single nucleotide polymorphisms (SNPs), we calculated heritability and performed replication and rare variant analyses. In addition, expression quantitative trait locus (eQTL) analysis for significant SNPs was performed.
Results
rs12803256, in the actin epsilon 1, pseudogene (ACTE1P) gene, was identified as a novel polymorphism associated with vitamin D deficiency. SNPs, such as rs11723621 and rs7041, in the group-specific component gene (GC) and rs11023332 in the phosphodiesterase 3B (PDE3B) gene were significantly associated with vitamin D deficiency in both meta- and mega-analyses. The SNP heritability of the vitamin D concentration was estimated to be 7.23%. eQTL analysis for rs12803256 for the genes related to vitamin D metabolism, including glutamine-dependent NAD(+) synthetase (NADSYN1) and 7-dehydrocholesterol reductase (DHCR7), showed significantly different expression according to alleles.
Conclusion
The genetic factors underlying vitamin D deficiency in Korea included polymorphisms in the GC, PDE3B, NADSYN1, and ACTE1P genes. The biological mechanism of a non-coding SNP (rs12803256) for DHCR7/NADSYN1 on vitamin D concentrations is unclear, warranting further investigations.

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Vitamin D-associated genetic variants in the Brazilian population: Investigating potential instruments for Mendelian randomization
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Corrigendum

Miscellaneous
Corrigendum: Correction of Acknowledgments. Transformation of Mature Osteoblasts into Bone Lining Cells and RNA Sequencing-Based Transcriptome Profiling of Mouse Bone during Mechanical Unloading: A Ram Hong, Kwangsoo Kim, Ji Yeon Lee, Jae-Yeon Yang, Jung Hee Kim, Chan Soo Shin, Sang Wan Kim; Endocrinol Metab. 2021;36(6):1314. Published online November 18, 2021; DOI: https://doi.org/10.3803/EnM.2021.601; Corrects: Endocrinol Metab 2020;35(2):456

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Review Article

Calcium & Bone Metabolism
Applications of Machine Learning in Bone and Mineral Research: Sung Hye Kong, Chan Soo Shin; Endocrinol Metab. 2021;36(5):928-937. Published online October 21, 2021; DOI: https://doi.org/10.3803/EnM.2021.1111

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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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A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture
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Response

Adrenal Gland
Diagnostic Accuracy of Computed Tomography in Predicting Primary Aldosteronism Subtype According to Age (Endocrinol Metab 2021;36:401-12, Seung Hun Lee et al.): Seung Hun Lee, Jong Woo Kim, Hyun-Ki Yoon, Jung-Min Koh, Chan Soo Shin, Sang Wan Kim, Jung Hee Kim; Endocrinol Metab. 2021;36(4):914-915. Published online August 27, 2021; DOI: https://doi.org/10.3803/EnM.2021.402; [Original]

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Strategies for subtyping primary aldosteronism
Yun-Hsuan Yang, Yu-Ling Chang, Bo-Ching Lee, Ching-Chu Lu, Wei-Ting Wang, Ya-Hui Hu, Han-Wen Liu, Yung-Hsiang Lin, Chin-Chen Chang, Wan-Chen Wu, Fen-Yu Tseng, Yen-Hung Lin, Vin-Cent Wu, Chii-Min Hwu
Journal of the Formosan Medical Association.2024; 123: S114. CrossRef
Diagnostic consistency between computed tomography and adrenal vein sampling of primary aldosteronism: leading to successful curative outcome after adrenalectomy; a retrospective study
Byung-Chang Kim, Hyun-Ki Yoon, Kye Jin Park, Gun Ha Kim, Shin Jeong Pak, Douk Kwon, Jae Won Cho, Won Woong Kim, Yu-Mi Lee, Jung-Min Koh, Seung Hun Lee, Ki-Wook Chung, Tae-Yon Sung
International Journal of Surgery.2024; 110(2): 839. CrossRef

Original Articles

Clinical Study
Radioactive Parathyroid Adenomas on Sestamibi Scans: Low Parathyroid Hormone Secretory Potential and Large Volume: Sung Hye Kong, Jung Hee Kim, Sang Wan Kim, Chan Soo Shin; Endocrinol Metab. 2021;36(2):351-358. Published online April 6, 2021; DOI: https://doi.org/10.3803/EnM.2020.823

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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.

Citations

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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
Diagnostic Accuracy of Computed Tomography in Predicting Primary Aldosteronism Subtype According to Age: Seung Hun Lee, Jong Woo Kim, Hyun-Ki Yoon, Jung-Min Koh, Chan Soo Shin, Sang Wan Kim, Jung Hee Kim; Endocrinol Metab. 2021;36(2):401-412. Published online March 31, 2021; DOI: https://doi.org/10.3803/EnM.2020.901

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Background
Guidelines by the Endocrine Society Guideline on bypassing adrenal vein sampling (AVS) in patients <35 years old with marked primary aldosteronism (PA) (hypokalemia and elevated plasma aldosterone concentration [PAC]) and a unilateral lesion on computed tomography (CT) are based on limited number of studies. We aimed to determine the accuracy of CT in PA patients according to age.
Methods
In this retrospective study, we investigated the concordance between CT and AVS in 466 PA patients from two tertiary centers who successfully underwent AVS.
Results
CT had an overall accuracy of 64.4% (300/466). In the group with unilateral lesion, patients with hypokalemia had higher concordance than those without hypokalemia (85.0% vs. 43.6%, P<0.001). In the group with marked PA (hypokalemia and PAC >15.9 ng/dL) and unilateral lesion, accuracy of CT was 84.6% (11/13) in patients aged <35 years; 100.0% (20/20), aged 35 to 39 years; 89.4% (59/66), aged 40 to 49 years; and 79.8% (79/99), aged ≥50 years. Cut-off age and PAC for concordance was <50 years and >29.6 ng/dL, respectively. The significant difference in accuracy of CT in 198 patients with marked PA and a unilateral lesion between the <50-year age group and ≥50-year age group (90.9% vs. 79.8%, P=0.044) disappeared in 139 of 198 patients with PAC > 30.0 ng/dL (91.9% vs. 87.7%, P=0.590).
Conclusion
Patients with hypokalemia, PAC >30.0 ng/dL, and unilateral lesion were at high risk of unilateral PA regardless of age.

Citations

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Predicting Bilateral Subtypes of Primary Aldosteronism Without Adrenal Vein Sampling: A Systematic Review and Meta-analysis
Elisabeth Ng, Stella May Gwini, Winston Zheng, Peter J Fuller, Jun Yang
The Journal of Clinical Endocrinology & Metabolism.2024; 109(2): e837. CrossRef
Subtype-specific Body Composition and Metabolic Risk in Patients With Primary Aldosteronism
Seung Shin Park, Chang Ho Ahn, Sang Wan Kim, Ji Won Yoon, Jung Hee Kim
The Journal of Clinical Endocrinology & Metabolism.2024; 109(2): e788. CrossRef
Imaging Concordance With Vein Sampling for Primary Aldosteronism: A Cohort Study and Literature Review
Sara Cartwright, MaKayla Gordon, Jessica Shank, Abbey Fingeret
Journal of Surgical Research.2024; 296: 1. CrossRef
Best Practices: Indications and Procedural Controversies of Adrenal Vein Sampling for Primary Aldosteronism
Keith B. Quencer, Abhilasha Singh, Anu Sharma
American Journal of Roentgenology.2023; 220(2): 190. CrossRef
Accuracy of Gallium-68 Pentixafor Positron Emission Tomography–Computed Tomography for Subtyping Diagnosis of Primary Aldosteronism
Jinbo Hu, Tingting Xu, Hang Shen, Ying Song, Jun Yang, Aipin Zhang, Haoyuan Ding, Naiguo Xing, Zhuoyuan Li, Lin Qiu, Linqiang Ma, Yi Yang, Zhengping Feng, Zhipeng Du, Wenwen He, Yue Sun, Jun Cai, Qifu Li, Yue Chen, Shumin Yang, Mei Mei, Suxin Luo, Kangla
JAMA Network Open.2023; 6(2): e2255609. CrossRef
Adrenal Vein Sampling in the Young – Necessary or Not?
Eleftheria Gkaniatsa, Oskar Ragnarsson
Experimental and Clinical Endocrinology & Diabetes.2023; 131(07/08): 435. 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
Correlation of Histopathologic Subtypes of Primary Aldosteronism with Clinical Phenotypes and Postsurgical Outcomes
Chang Ho Ahn, You-Bin Lee, Jae Hyeon Kim, Young Lyun Oh, Jung Hee Kim, Kyeong Cheon Jung
The Journal of Clinical Endocrinology & Metabolism.2023;[Epub] CrossRef
Indices of ACTH‐stimulated adrenal venous sampling as predictors of postsurgical outcomes in primary aldosteronism
Seung Hun Lee, Jong Woo Kim, Hyun‐Ki Yoon, Sang Wan Kim, Su Jin Kim, Kyu Eun Lee, Yu‐Mi Lee, Tae‐Yon Sung, Suck Joon Hong, Chan Soo Shin, Jung‐Min Koh, Jung Hee Kim
Clinical Endocrinology.2022; 96(4): 521. CrossRef
Expression of CYP11B1 and CYP11B2 in adrenal adenoma correlates with clinical characteristics of primary aldosteronism
Chang Ho Ahn, Hee Young Na, So Yeon Park, Hyeong Won Yu, Su‐Jin Kim, June Young Choi, Kyu Eun Lee, Sang Wan Kim, Kyeong Cheon Jung, Jung Hee Kim
Clinical Endocrinology.2022; 96(1): 30. CrossRef
Letter to the Editor From Singhania et al: “Increasing Incidence of Primary Aldosteronism in Western Sweden During 3 Decades—Yet an Underdiagnosed Disorder”
Pankaj Singhania, Rana Bhattacharjee
The Journal of Clinical Endocrinology & Metabolism.2022; 107(3): e1315. CrossRef
Development and validation of model for sparing adrenal venous sampling in diagnosing unilateral primary aldosteronism
Ying Song, Jun Yang, Hang Shen, Elisabeth Ng, Peter J. Fuller, Zhengping Feng, Jinbo Hu, Linqiang Ma, Yi Yang, Zhipeng Du, Yue Wang, Ting Luo, Wenwen He, Qifu Li, Fei-Fei Wu, Shumin Yang
Journal of Hypertension.2022; 40(9): 1692. CrossRef
Validation of Existing Clinical Prediction Tools for Primary Aldosteronism Subtyping
Barbora Kološová, Petr Waldauf, Dan Wichterle, Jan Kvasnička, Tomáš Zelinka, Ondřej Petrák, Zuzana Krátká, Lubomíra Forejtová, Jan Kaván, Jiří Widimský, Robert Holaj
Diagnostics.2022; 12(11): 2806. CrossRef
Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia
Taek Min Kim, Seung Jae Choi, Ji Yeon Ko, Sungwan Kim, Chang Wook Jeong, Jeong Yeon Cho, Sang Youn Kim, Young-Gon Kim
European Radiology.2022; 33(6): 4292. CrossRef
Diagnostic Accuracy of Computed Tomography in Predicting Primary Aldosteronism Subtype According to Age (Endocrinol Metab 2021;36:401-12, Seung Hun Lee et al.)
Seung Hun Lee, Jong Woo Kim, Hyun-Ki Yoon, Jung-Min Koh, Chan Soo Shin, Sang Wan Kim, Jung Hee Kim
Endocrinology and Metabolism.2021; 36(4): 914. CrossRef
Diagnostic Accuracy of Computed Tomography in Predicting Primary Aldosteronism Subtype According to Age (Endocrinol Metab 2021;36:401-12, Seung Hun Lee et al.)
Pankaj Singhania
Endocrinology and Metabolism.2021; 36(4): 912. CrossRef

Clinical Study
Whole Exome Sequencing Identifies Novel Genetic Alterations in Patients with Pheochromocytoma/Paraganglioma: Soo Hyun Seo, Jung Hee Kim, Man Jin Kim, Sung Im Cho, Su Jin Kim, Hyein Kang, Chan Soo Shin, Sung Sup Park, Kyu Eun Lee, Moon-Woo Seong; Endocrinol Metab. 2020;35(4):909-917. Published online December 23, 2020; DOI: https://doi.org/10.3803/EnM.2020.756

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Background
Pheochromocytoma and paragangliomas (PPGL) are known as tumors with the highest level of heritability, approximately 30% of all cases. Clinical practice guidelines of PPGL recommend genetic testing for germline variants in all patients. In this study, we used whole exome sequencing to identify novel causative variants associated with PPGL to improve the detection of rare genetic variants in our cohort.
Methods
Thirty-six tested negative for pathogenic variants in previous Sanger sequencing or targeted gene panel testing for PPGL underwent whole exome sequencing. Whole exome sequencing was performed using DNA samples enriched using TruSeq Custom Enrichment Kit and sequenced with MiSeq (Illumina Inc.). Sequencing alignment and variant calling were performed using SAMtools.
Results
Among previously mutation undetected 36 patients, two likely pathogenic variants and 13 variants of uncertain significance (VUS) were detected in 32 pheochromocytoma-related genes. SDHA c.778G>A (p.Gly260Arg) was detected in a patient with head and neck paraganglioma, and KIF1B c.2787-2A>C in a patient with a bladder paraganglioma. Additionally, a likely pathogenic variant in BRCA2, VUS in TP53, and VUS in NFU1 were detected.
Conclusion
Exome sequencing further identified genetic alterations by 5.6% in previously mutation undetected patients in PPGL. Implementation of targeted gene sequencing consisted of extended genes of PPGL in routine clinical screening can support the level of comprehensive patient assessment.

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Patient Sex and Origin Influence Distribution of Driver Genes and Clinical Presentation of Paraganglioma
Susan Richter, Nicole Bechmann
Journal of the Endocrine Society.2024;[Epub] CrossRef
Case Report: Aggressive neural crest tumors in a child with familial von Hippel Lindau syndrome associated with a germline VHL mutation (c.414A>G) and a novel KIF1B gene mutation
Lucie Landen, Anne De Leener, Manon Le Roux, Bénédicte Brichard, Selda Aydin, Dominique Maiter, Philippe A. Lysy
Frontiers in Endocrinology.2023;[Epub] CrossRef
A Case of Pheochromocytoma as a Subsequent Neoplasm in a Survivor of Childhood Embryonal Rhabdomyosarcoma
Rozalyn L. Rodwin, Sanyukta K. Janardan, Erin W. Hofstatter, Nina S. Kadan-Lottick
Journal of Pediatric Hematology/Oncology.2022; 44(2): e585. CrossRef
Mutations of 1p genes do not consistently abrogate tumor suppressor functions in 1p-intact neuroblastoma
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A case of juvenile-onset pheochromocytoma with KIF1B p.V1529M germline mutation
Masahiro Nezu, Yosuke Hirotsu, Kenji Amemiya, Miho Katsumata, Tomomi Watanabe, Soichi Takizawa, Masaharu Inoue, Hitoshi Mochizuki, Kyoko Hosaka, Toshio Oyama, Masao Omata
Endocrine Journal.2022; 69(6): 705. CrossRef
Systematic analysis of expression profiles and prognostic significance for MMDS-related iron–sulfur proteins in renal clear cell carcinoma
Ling Yang, Yu-Xin Chen, Ying-Ying Li, Xiao-Juan Liu, Yong-Mei Jiang, Jia Mai
Scientific Reports.2022;[Epub] CrossRef
Diagnosis for Pheochromocytoma and Paraganglioma: A Joint Position Statement of the Korean Pheochromocytoma and Paraganglioma Task Force
Eu Jeong Ku, Kyoung Jin Kim, Jung Hee Kim, Mi Kyung Kim, Chang Ho Ahn, Kyung Ae Lee, Seung Hun Lee, You-Bin Lee, Kyeong Hye Park, Yun Mi Choi, Namki Hong, A Ram Hong, Sang-Wook Kang, Byung Kwan Park, Moon-Woo Seong, Myungshin Kim, Kyeong Cheon Jung, Chan
Endocrinology and Metabolism.2021; 36(2): 322. CrossRef
Recurrent Germline Mutations of CHEK2 as a New Susceptibility Gene in Patients with Pheochromocytomas and Paragangliomas
Yinjie Gao, Chao Ling, Xiaosen Ma, Huiping Wang, Yunying Cui, Min Nie, Anli Tong, Dario De Biase
International Journal of Endocrinology.2021; 2021: 1. CrossRef

Clinical Study
Identification of Novel Genetic Variants Related to Trabecular Bone Score in Community-Dwelling Older Adults: 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; Endocrinol Metab. 2020;35(4):801-810. Published online November 24, 2020; DOI: https://doi.org/10.3803/EnM.2020.735

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Abstract PDF Supplementary Material PubReader 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
Stimulated Salivary Cortisol as a Noninvasive Diagnostic Tool for Adrenal Insufficiency: Yoon Ji Kim, Jung Hee Kim, A Ram Hong, Kyeong Seon Park, Sang Wan Kim, Chan Soo Shin, Seong Yeon Kim; Endocrinol Metab. 2020;35(3):628-635. Published online September 22, 2020; DOI: https://doi.org/10.3803/EnM.2020.707

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Background
Salivary cortisol is routinely used as a diagnostic test for Cushing syndrome. The diagnostic use of salivary cortisol for adrenal insufficiency (AI), however, is less established. We aimed to investigate the utility of morning basal and adrenocorticotropic hormone-stimulated salivary cortisol in diagnosing AI in Korean adults.
Methods
We prospectively included 120 subjects (female, n=70) from Seoul National University Hospital. AI was defined as a stimulated serum cortisol level of <496.8 nmol/L during the short Synacthen test (SST). Serum and saliva samples were drawn between 8:00 AM and 10:00 AM. Salivary cortisol levels were measured using an enzyme immunoassay kit.
Results
Thirty-four patients were diagnosed with AI according to the SST results. Age, sex, body mass index, serum albumin levels, and serum creatinine levels did not significantly differ between the normal and AI groups. Basal and stimulated salivary cortisol levels were positively correlated with basal (r=0.538) and stimulated serum cortisol levels (r=0.750), respectively (all P<0.001). Receiver operating characteristic curve analysis yielded a cutoff level of morning basal salivary cortisol of 3.2 nmol/L (sensitivity, 84.9%; specificity, 73.5%; area under the curve [AUC]=0.822). The optimal cutoff value of stimulated salivary cortisol was 13.2 nmol/L (sensitivity, 90.7%; specificity, 94.1%; AUC=0.959). Subjects with a stimulated salivary cortisol level above 13.2 nmol/L but a stimulated serum cortisol level below 496.8 nmol/L (n=2) had lower serum albumin levels than those showing a concordant response.
Conclusion
The diagnostic performance of stimulated salivary cortisol measurements after the SST was comparable to serum cortisol measurements for diagnosing AI.

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Extensive expertise in endocrinology: adrenal crisis in assisted reproduction and pregnancy
Ulla Feldt-Rasmussen
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Suranut Charoensri, Richard J. Auchus
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The Reliability of Salivary Cortisol Compared to Serum Cortisol for Diagnosing Adrenal Insufficiency with the Gold Standard ACTH Stimulation Test in Children
Silvia Ciancia, Sjoerd A. A. van den Berg, Erica L. T. van den Akker
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Endocrine Research
Transformation of Mature Osteoblasts into Bone Lining Cells and RNA Sequencing-Based Transcriptome Profiling of Mouse Bone during Mechanical Unloading: A Ram Hong, Kwangsoo Kim, Ji Yeon Lee, Jae-Yeon Yang, Jung Hee Kim, Chan Soo Shin, Sang Wan Kim; Endocrinol Metab. 2020;35(2):456-469. Published online June 24, 2020; DOI: https://doi.org/10.3803/EnM.2020.35.2.456; Correction in: Endocrinol Metab 2021;36(6):1314

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Background
We investigated RNA sequencing-based transcriptome profiling and the transformation of mature osteoblasts into bone lining cells (BLCs) through a lineage tracing study to better understand the effect of mechanical unloading on bone loss.
Methods
Dmp1-CreERt2(+):Rosa26R mice were injected with 1 mg of 4-hydroxy-tamoxifen three times a week starting at postnatal week 7, and subjected to a combination of botulinum toxin injection with left hindlimb tenotomy starting at postnatal week 8 to 10. The animals were euthanized at postnatal weeks 8, 9, 10, and 12. We quantified the number and thickness of X-gal(+) cells on the periosteum of the right and left femoral bones at each time point.
Results
Two weeks after unloading, a significant decrease in the number and a subtle change in the thickness of X-gal(+) cells were observed in the left hindlimbs compared with the right hindlimbs. At 4 weeks after unloading, the decrease in the thickness was accelerated in the left hindlimbs, although the number of labeled cells was comparable. RNA sequencing analysis showed downregulation of 315 genes in the left hindlimbs at 2 and 4 weeks after unloading. Of these, Xirp2, AMPD1, Mettl11b, NEXN, CYP2E1, Bche, Ppp1r3c, Tceal7, and Gadl1 were upregulated during osteoblastogenic/osteocytic and myogenic differentiation in vitro.
Conclusion
These findings demonstrate that mechanical unloading can accelerate the transformation of mature osteoblasts into BLCs in the early stages of bone loss in vivo. Furthermore, some of the genes involved in this process may have a pleiotropic effect on both bone and muscle.

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Clinical Study
Low Predictive Value of FRAX Adjusted by Trabecular Bone Score for Osteoporotic Fractures in Korean Women: A Community-Based Cohort Study: Hana Kim, Jung Hee Kim, Min Joo Kim, A Ram Hong, HyungJin Choi, EuJeong Ku, Ji Hyun Lee, Chan Soo Shin, Nam H. Cho; Endocrinol Metab. 2020;35(2):359-366. Published online June 24, 2020; DOI: https://doi.org/10.3803/EnM.2020.35.2.359

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Background
The value of the Fracture Risk Assessment Tool (FRAX) and the trabecular bone score (TBS) for assessing osteoporotic fracture risk has not been fully elucidated in Koreans. We conducted this study to clarify the predictive value of FRAX adjusted by TBS for osteoporotic fractures in Korean women.
Methods
After screening 7,192 eligible subjects from the Ansung cohort, 1,165 women aged 45 to 76 years with available bone mineral density (BMD) and TBS data were enrolled in this study. We assessed their clinical risk factors for osteoporotic fractures and evaluated the predictive value of FRAX with or without BMD and TBS.
Results
During the mean follow-up period of 7.5 years, 99 (8.5%) women suffered major osteoporotic fractures (MOFs) and 28 (2.4%) experienced hip fractures. FRAX without BMD, BMD-adjusted FRAX, and TBS-adjusted FRAX were significantly associated with the risk of MOFs (hazard ratio [HR] per percent increase, 1.08; 95% confidence interval [CI], 1.03 to 1.14; HR, 1.09; 95% CI, 1.03 to 1.15; and HR, 1.07; 95% CI, 1.02 to 1.13, respectively). However, BMD-adjusted FRAX and TBS-adjusted FRAX did not predict MOFs better than FRAX without BMD based on the Harrell’s C statistic. FRAX probabilities showed limited value for predicting hip fractures. The cut-off values of FRAX without BMD, FRAX with BMD, and FRAX with BMD adjusted by TBS for predicting MOFs were 7.2%, 5.0%, and 6.7%, respectively.
Conclusion
FRAX with BMD and TBS adjustment did not show better predictive value for osteoporotic fractures in this study than FRAX without adjustment. Moreover, the cut-off values of FRAX probabilities for treatment might be lower in Korean women than in other countries.

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