Endocrinology and Metabolism

Review Article

Adrenal Gland
Clinical and Technical Aspects in Free Cortisol Measurement: Man Ho Choi; Endocrinol Metab. 2022;37(4):599-607. Published online August 19, 2022; DOI: https://doi.org/10.3803/EnM.2022.1549

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Accurate measurement of cortisol is critical in adrenal insufficiency as it reduces the risk associated with misdiagnosis and supports the optimization of stress dose. Comprehensive assays have been developed to determine the levels of bioactive free cortisol and their clinical and analytical efficacies have been extensively discussed because the level of total cortisol is affected by changes in the structure or circulating levels of corticoid-binding globulin and albumin, which are the main reservoirs of cortisol in the human body. Antibody-based immunoassays are routinely used in clinical laboratories; however, the lack of molecular specificity in cortisol assessment limits their applicability to characterize adrenocortical function. Improved specificity and sensitivity can be achieved by mass spectrometry coupled with chromatographic separation methods, which is a cutting-edge technology to measure individual as well as a panel of steroids in a single analytical run. The purpose of this review is to introduce recent advances in free cortisol measurement from the perspectives of clinical specimens and issues associated with prospective analytical technologies.

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Highly Responsive Bioassay for Quantification of Glucocorticoids
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An LC-MS/MS Method for the Simultaneous Quantification of Insulin, Cortisol, Glucagon-like Peptide 1, Ghrelin, and Osteocalcin
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Separations.2024; 11(2): 41. CrossRef
Determination of cortisol cut-off limits and steroid dynamics in the ACTH stimulation test: a comparative analysis using Roche Elecsys Cortisol II immunoassay and LC-MS/MS
Sema Okutan, Nanna Thurmann Jørgensen, Lars Engers Pedersen, Stina Willemoes Borresen, Linda Hilsted, Lennart Friis Hansen, Ulla Feldt-Rasmussen, Marianne Klose
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Advancements in Cortisol Detection: From Conventional Methods to Next-Generation Technologies for Enhanced Hormone Monitoring
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A dilute and shoot method for urinary free cortisol analysis by LC-MS/MS
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Osteopathic Manipulation as a Method of Cortisol Modification: A Systematic Review
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Original Articles

Adrenal Gland
Adrenal Morphology as an Indicator of Long-Term Disease Control in Adults with Classic 21-Hydroxylase Deficiency: Taek Min Kim, Jung Hee Kim, Han Na Jang, Man Ho Choi, Jeong Yeon Cho, Sang Youn Kim; Endocrinol Metab. 2022;37(1):124-137. Published online February 8, 2022; DOI: https://doi.org/10.3803/EnM.2021.1278

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Background
Monitoring adults with classical 21-hydroxylase deficiency (21OHD) is challenging due to variation in clinical and laboratory settings. Moreover, guidelines for adrenal imaging in 21OHD are not yet available. We evaluated the relationship between adrenal morphology and disease control status in classical 21OHD.
Methods
This retrospective, cross-sectional study included 90 adult 21OHD patients and 270 age- and sex-matched healthy controls. We assessed adrenal volume, width, and tumor presence using abdominal computed tomography and evaluated correlations of adrenal volume and width with hormonal status. We investigated the diagnostic performance of adrenal volume and width for identifying well-controlled status in 21OHD patients (17α-hydroxyprogesterone [17-OHP] <10 ng/mL).
Results
The adrenal morphology of 21OHD patients showed hypertrophy (45.6%), normal size (42.2%), and hypotrophy (12.2%). Adrenal tumors were detected in 12 patients (13.3%). The adrenal volume and width of 21OHD patients were significantly larger than those of controls (18.2±12.2 mL vs. 7.1±2.0 mL, 4.7±1.9 mm vs. 3.3±0.5 mm, P<0.001 for both). The 17-OHP and androstenedione levels were highest in patients with adrenal hypertrophy, followed by those with normal adrenal glands and adrenal hypotrophy (P<0.05 for both). Adrenal volume and width correlated positively with adrenocorticotropic hormone, 17-OHP, 11β-hydroxytestosterone, progesterone sulfate, and dehydroepiandrosterone sulfate in both sexes (r=0.33–0.95, P<0.05 for all). For identifying well-controlled patients, the optimal cut-off values of adrenal volume and width were 10.7 mL and 4 mm, respectively (area under the curve, 0.82–0.88; P<0.001 for both).
Conclusion
Adrenal volume and width may be reliable quantitative parameters for monitoring patients with classical 21OHD.

Citations

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Long‐term health consequences of congenital adrenal hyperplasia
Riccardo Pofi, Xiaochen Ji, Nils P. Krone, Jeremy W. Tomlinson
Clinical Endocrinology.2023;[Epub] CrossRef
Landscape of Adrenal Tumours in Patients with Congenital Adrenal Hyperplasia
Mara Carsote, Ana-Maria Gheorghe, Claudiu Nistor, Alexandra-Ioana Trandafir, Oana-Claudia Sima, Anca-Pati Cucu, Adrian Ciuche, Eugenia Petrova, Adina Ghemigian
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Multiplexed Serum Steroid Profiling Reveals Metabolic Signatures of Subtypes in Congenital Adrenal Hyperplasia
Jaeyoon Shim, Chang Ho Ahn, Seung Shin Park, Jongsung Noh, Chaelin Lee, Sang Won Lee, Jung Hee Kim, Man Ho Choi
Journal of the Endocrine Society.2023;[Epub] CrossRef
Long-Term Outcomes of Congenital Adrenal Hyperplasia
Anna Nordenström, Svetlana Lajic, Henrik Falhammar
Endocrinology and Metabolism.2022; 37(4): 587. CrossRef
Congenital adrenal hyperplasia in patients with adrenal tumors: a population-based case–control study
F. Sahlander, J. Patrova, B. Mannheimer, J. D. Lindh, H. Falhammar
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Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia
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Adrenal Gland
Metabolic Subtyping of Adrenal Tumors: Prospective Multi-Center Cohort Study in Korea: Eu Jeong Ku, Chaelin Lee, Jaeyoon Shim, Sihoon Lee, Kyoung-Ah Kim, Sang Wan Kim, Yumie Rhee, Hyo-Jeong Kim, Jung Soo Lim, Choon Hee Chung, Sung Wan Chun, Soon-Jib Yoo, Ohk-Hyun Ryu, Ho Chan Cho, A Ram Hong, Chang Ho Ahn, Jung Hee Kim, Man Ho Choi; Endocrinol Metab. 2021;36(5):1131-1141. Published online October 21, 2021; DOI: https://doi.org/10.3803/EnM.2021.1149

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Background
Conventional diagnostic approaches for adrenal tumors require multi-step processes, including imaging studies and dynamic hormone tests. Therefore, this study aimed to discriminate adrenal tumors from a single blood sample based on the combination of liquid chromatography-mass spectrometry (LC-MS) and machine learning algorithms in serum profiling of adrenal steroids.
Methods
The LC-MS-based steroid profiling was applied to serum samples obtained from patients with nonfunctioning adenoma (NFA, n=73), Cushing’s syndrome (CS, n=30), and primary aldosteronism (PA, n=40) in a prospective multicenter study of adrenal disease. The decision tree (DT), random forest (RF), and extreme gradient boost (XGBoost) were performed to categorize the subtypes of adrenal tumors.
Results
The CS group showed higher serum levels of 11-deoxycortisol than the NFA group, and increased levels of tetrahydrocortisone (THE), 20α-dihydrocortisol, and 6β-hydroxycortisol were found in the PA group. However, the CS group showed lower levels of dehydroepiandrosterone (DHEA) and its sulfate derivative (DHEA-S) than both the NFA and PA groups. Patients with PA expressed higher serum 18-hydroxycortisol and DHEA but lower THE than NFA patients. The balanced accuracies of DT, RF, and XGBoost for classifying each type were 78%, 96%, and 97%, respectively. In receiver operating characteristics (ROC) analysis for CS, XGBoost, and RF showed a significantly greater diagnostic power than the DT. However, in ROC analysis for PA, only RF exhibited better diagnostic performance than DT.
Conclusion
The combination of LC-MS-based steroid profiling with machine learning algorithms could be a promising one-step diagnostic approach for the classification of adrenal tumor subtypes.

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Nathan Mullen, James Curneen, Padraig T Donlon, Punit Prakash, Irina Bancos, Mark Gurnell, Michael C Dennedy
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Serum and hair steroid profiles in patients with nonfunctioning pituitary adenoma undergoing surgery: A prospective observational study
Seung Shin Park, Yong Hwy Kim, Ho Kang, Chang Ho Ahn, Dong Jun Byun, Man Ho Choi, Jung Hee Kim
The Journal of Steroid Biochemistry and Molecular Biology.2023; 230: 106276. CrossRef
Recent Updates on the Management of Adrenal Incidentalomas
Seung Shin Park, Jung Hee Kim
Endocrinology and Metabolism.2023; 38(4): 373. CrossRef
LC-MS based simultaneous profiling of adrenal hormones of steroids, catecholamines, and metanephrines
Jongsung Noh, Chaelin Lee, Jung Hee Kim, Seung Woon Myung, Man Ho Choi
Journal of Lipid Research.2023; 64(11): 100453. CrossRef
2023 Korean Endocrine Society Consensus Guidelines for the Diagnosis and Management of Primary Aldosteronism
Jeonghoon Ha, Jung Hwan Park, Kyoung Jin Kim, Jung Hee Kim, Kyong Yeun Jung, Jeongmin Lee, Jong Han Choi, Seung Hun Lee, Namki Hong, Jung Soo Lim, Byung Kwan Park, Jung-Han Kim, Kyeong Cheon Jung, Jooyoung Cho, Mi-kyung Kim, Choon Hee Chung
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Review Article

Adrenal gland
Embryonic Development and Adult Regeneration of the Adrenal Gland: Ji-Hoon Kim, Man Ho Choi; Endocrinol Metab. 2020;35(4):765-773. Published online December 23, 2020; DOI: https://doi.org/10.3803/EnM.2020.403

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The adrenal gland plays a pivotal role in an organism’s health span by controlling the endocrine system. Decades of research on the adrenal gland have provided multiscale insights into the development and maintenance of this essential organ. A particularly interesting finding is that founder stem/progenitor cells participate in adrenocortical development and enable the adult adrenal cortex to regenerate itself in response to hormonal stress and injury. Since major advances have been made in understanding the dynamics of the developmental process and the remarkable regenerative capacity of the adrenal gland, understanding the mechanisms underlying adrenal development, maintenance, and regeneration will be of interest to basic and clinical researchers. Here, we introduce the developmental processes of the adrenal gland and discuss current knowledge regarding stem/progenitor cells that regulate adrenal cortex remodeling and regeneration. This review will provide insights into the fascinating ongoing research on the development and regeneration of the adrenal cortex.

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Clinical and Technical Aspects in Free Cortisol Measurement
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