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Brief Report
Adrenal Gland
Aldosterone Immunoassay-Specific Cutoff Value for Seated Saline Suppression Test for Diagnosing Primary Aldosteronism
So Yoon Kwon, Jiyun Park, So Hee Park, So Hyun Cho, You-Bin Lee, Soo-Youn Lee, Jae Hyeon Kim
Endocrinol Metab. 2022;37(6):938-942.   Published online December 6, 2022
DOI: https://doi.org/10.3803/EnM.2022.1535
  • 1,806 View
  • 194 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
A seated saline loading test (SLT) using liquid chromatography-tandem mass spectrometry (LC-MS/MS) is one of the most accepted confirmatory tests of primary aldosteronism. However, LC-MS/MS is time-consuming and is not widely available in diagnostic laboratories compared to immunoassay. With immunoassay, it is unknown whether SLT in the seated position is more accurate than that of the supine position, and a cutoff value of post-seated SLT plasma aldosterone concentration (PAC) must be established in the Korean population. Ninety-eight patients underwent SLT in both positions, and post-SLT PAC was measured by LC-MS/MS and radioimmunoassay. We confirmed primary aldosteronism if post-seated SLT PAC by LC-MS/MS exceeded 5.8 ng/dL. The area under the receiver operating characteristic curve was greater for seated than supine SLT (0.928 vs. 0.834, P=0.003). The optimal cutoff value of post-seated SLT by radioimmunoassay was 6.6 ng/dL (sensitivity 83.3%, specificity 92.2%).

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  • Investigating the cut-off values of captopril challenge test for primary aldosteronism using the novel chemiluminescent enzyme immunoassay method: a retrospective cohort study
    Yuta Tezuka, Kei Omata, Yoshikiyo Ono, Kengo Kambara, Hiroki Kamada, Sota Oguro, Yuto Yamazaki, Celso E. Gomez-Sanchez, Akihiro Ito, Hironobu Sasano, Kei Takase, Tetsuhiro Tanaka, Hideki Katagiri, Fumitoshi Satoh
    Hypertension Research.2024;[Epub]     CrossRef
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Review Articles
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
  • 4,788 View
  • 294 Download
  • 9 Web of Science
  • 12 Crossref
AbstractAbstract PDFPubReader   ePub   
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.

Citations

Citations to this article as recorded by  
  • Highly Responsive Bioassay for Quantification of Glucocorticoids
    Mathias Flensted Poulsen, Martin Overgaard, Christian Brix Folsted Andersen, Andreas Lodberg
    Analytical Chemistry.2024; 96(5): 2000.     CrossRef
  • An LC-MS/MS Method for the Simultaneous Quantification of Insulin, Cortisol, Glucagon-like Peptide 1, Ghrelin, and Osteocalcin
    Zhichao Zhang, Hareem Siddiqi, Yu-Ping Huang, Shannon McClorry, Peng Ji, Daniela Barile, Carolyn M. Slupsky
    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
    Endocrine.2024;[Epub]     CrossRef
  • Advancements in Cortisol Detection: From Conventional Methods to Next-Generation Technologies for Enhanced Hormone Monitoring
    Visesh Vignesh, Bernardo Castro-Dominguez, Tony D. James, Julie M. Gamble-Turner, Stafford Lightman, Nuno M. Reis
    ACS Sensors.2024; 9(4): 1666.     CrossRef
  • Comparative analysis of salivary cortisol measurements using different assay methods in relation to serum-free cortisol measurement
    Anna Lee, Sooah Jang, Sanghoo Lee, Hyun-Kyung Park, In-Young Kim, Ryunsup Ahn, Jeong-Ho Seok, Kyoung-Ryul Lee
    Practical Laboratory Medicine.2024; 40: e00393.     CrossRef
  • A dilute and shoot method for urinary free cortisol analysis by LC-MS/MS
    Ying Shen, Xia Luo, Qing Guan, Liming Cheng
    Journal of Chromatography B.2024; 1239: 124127.     CrossRef
  • Osteopathic Manipulation as a Method of Cortisol Modification: A Systematic Review
    Dylan Thibaut, Valentine Santarlas, Joseph Hoppes, Alejandra Vásquez-Castillo, Alexa Morrow, Eddie Oviedo, James Toldi
    Cureus.2023;[Epub]     CrossRef
  • Pitfalls in the Diagnosis and Management of Hypercortisolism (Cushing Syndrome) in Humans; A Review of the Laboratory Medicine Perspective
    Kade C. Flowers, Kate E. Shipman
    Diagnostics.2023; 13(8): 1415.     CrossRef
  • Electrochemical sensors for cortisol detection: Principles, designs, fabrication, and characterisation
    Gopi Karuppaiah, Min-Ho Lee, Shekhar Bhansali, Pandiaraj Manickam
    Biosensors and Bioelectronics.2023; 239: 115600.     CrossRef
  • The role of the hypothalamic-pituitary-adrenal axis in depression across the female reproductive lifecycle: current knowledge and future directions
    Liisa Hantsoo, Kathleen M. Jagodnik, Andrew M. Novick, Ritika Baweja, Teresa Lanza di Scalea, Aysegul Ozerdem, Erin C. McGlade, Diana I. Simeonova, Sharon Dekel, Sara L. Kornfield, Michelle Nazareth, Sandra J. Weiss
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • РІВЕНЬ СТРЕСУ В ДІТЕЙ ШКІЛЬНОГО ВІКУ З COVID-19
    Г. А. Павлишин, О. І. Панченко
    Здобутки клінічної і експериментальної медицини.2023; (4): 119.     CrossRef
  • Corticotropin-stimulated steroid profiles to predict shock development and mortality in sepsis: From the HYPRESS study
    Josef Briegel, Patrick Möhnle, Didier Keh, Johanna M. Lindner, Anna C. Vetter, Holger Bogatsch, Dorothea Lange, Sandra Frank, Ludwig C. Hinske, Djillali Annane, Michael Vogeser, Michael Bauer, Thorsten Brenner, Patrick Meybohm, Markus Weigand, Matthias Gr
    Critical Care.2022;[Epub]     CrossRef
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Obesity and Metabolism
Understanding Metabolomics in Biomedical Research
Su Jung Kim, Su Hee Kim, Ji Hyun Kim, Shin Hwang, Hyun Ju Yoo
Endocrinol Metab. 2016;31(1):7-16.   Published online March 16, 2016
DOI: https://doi.org/10.3803/EnM.2016.31.1.7
  • 7,040 View
  • 127 Download
  • 46 Web of Science
  • 42 Crossref
AbstractAbstract PDFPubReader   

The term "omics" refers to any type of specific study that provides collective information on a biological system. Representative omics includes genomics, proteomics, and metabolomics, and new omics is constantly being added, such as lipidomics or glycomics. Each omics technique is crucial to the understanding of various biological systems and complements the information provided by the other approaches. The main strengths of metabolomics are that metabolites are closely related to the phenotypes of living organisms and provide information on biochemical activities by reflecting the substrates and products of cellular metabolism. The transcriptome does not always correlate with the proteome, and the translated proteome might not be functionally active. Therefore, their changes do not always result in phenotypic alterations. Unlike the genome or proteome, the metabolome is often called the molecular phenotype of living organisms and is easily translated into biological conditions and disease states. Here, we review the general strategies of mass spectrometry-based metabolomics. Targeted metabolome or lipidome analysis is discussed, as well as nontargeted approaches, with a brief explanation of the advantages and disadvantages of each platform. Biomedical applications that use mass spectrometry-based metabolomics are briefly introduced.

Citations

Citations to this article as recorded by  
  • Urine metabolomic biomarkers for prediction of isolated fetal congenital heart defect
    Perry Friedman, Ali Yilmaz, Zafer Ugur, Faryal Jafar, Amy Whitten, Ilyas Ustun, Onur Turkoglu, Stewart Graham, Ray Bahado Singh
    The Journal of Maternal-Fetal & Neonatal Medicine.2024; 35(25): 6380.     CrossRef
  • Metabolomics and Risk of Dementia: A Systematic Review of Prospective Studies
    Ashley C Flores, Xinyuan Zhang, Penny M Kris-Etherton, Martin J Sliwinski, Greg C Shearer, Xiang Gao, Muzi Na
    The Journal of Nutrition.2024; 154(3): 826.     CrossRef
  • Associations of PFAS-related plasma metabolites with cholesterol and triglyceride concentrations
    T. Schillemans, I.A. Bergdahl, K. Hanhineva, L. Shi, C. Donat-Vargas, J. Koponen, H. Kiviranta, R. Landberg, A. Åkesson, C. Brunius
    Environmental Research.2023; 216: 114570.     CrossRef
  • UPLC-Q-Exactive-based rats serum metabolomics for characterization of traditional Chinese medicine Natures and Flavors
    Hong Wang, Ruofang Gao, Jing Liu, Shuang Zhang, Yunli Zhao, Zhiguo Yu
    Journal of Ethnopharmacology.2023; 302: 115931.     CrossRef
  • Artificial Neural Networks Coupled with MALDI-TOF MS Serum Fingerprinting To Classify and Diagnose Pathological Pain Subtypes in Preclinical Models
    Meritxell Deulofeu, Eladia M. Peña-Méndez, Petr Vaňhara, Josef Havel, Lukáš Moráň, Lukáš Pečinka, Anna Bagó-Mas, Enrique Verdú, Victoria Salvadó, Pere Boadas-Vaello
    ACS Chemical Neuroscience.2023; 14(2): 300.     CrossRef
  • Metabolic signature of HepaRG cells exposed to ethanol and tumor necrosis factor alpha to study alcoholic steatohepatitis by LC–MS-based untargeted metabolomics
    Elias Iturrospe, Rani Robeyns, Katyeny Manuela da Silva, Maria van de Lavoir, Joost Boeckmans, Tamara Vanhaecke, Alexander L. N. van Nuijs, Adrian Covaci
    Archives of Toxicology.2023; 97(5): 1335.     CrossRef
  • Integrating metabolomics and network pharmacology to assess the effects of quercetin on lung inflammatory injury induced by human respiratory syncytial virus
    Ya-Lei Sun, Pei-Pei Zhao, Cheng-Bi Zhu, Ming-Chen Jiang, Xin-Min Li, Jia-Lei Tao, Chan-Chan Hu, Bin Yuan
    Scientific Reports.2023;[Epub]     CrossRef
  • Comparison of Plasma Metabolites From Patients With Non-Small Cell Lung Cancer by Erlotinib Treatment and Skin Rash
    Won Kil Lee, Jisoo Myong, Eunbin Kwag, Younmin Shin, Ji Woong Son, Byong Chul Yoo, Byoung-Soo Kim, Hwa-Seung Yoo, Jeong June Choi
    Integrative Cancer Therapies.2023;[Epub]     CrossRef
  • Metabolomic Signatures of Exposure to Nitrate and Trihalomethanes in Drinking Water and Colorectal Cancer Risk in a Spanish Multicentric Study (MCC-Spain)
    Jose A. Alcolea, Carolina Donat-Vargas, Anastasia Chrysovalantou Chatziioannou, Pekka Keski-Rahkonen, Nivonirina Robinot, Antonio José Molina, Pilar Amiano, Inés Gómez-Acebo, Gemma Castaño-Vinyals, Lea Maitre, Marc Chadeau-Hyam, Sonia Dagnino, Sibo Lucas
    Environmental Science & Technology.2023; 57(48): 19316.     CrossRef
  • Metabolic Signature of Ethanol-Induced Hepatotoxicity in HepaRG Cells by Liquid Chromatography–Mass Spectrometry-Based Untargeted Metabolomics
    Elias Iturrospe, Katyeny Manuela da Silva, Rani Robeyns, Maria van de Lavoir, Joost Boeckmans, Tamara Vanhaecke, Alexander L.N. van Nuijs, Adrian Covaci
    Journal of Proteome Research.2022; 21(4): 1153.     CrossRef
  • Current State and Challenges of the Global Outcomes of Dental Caries Research in the Meta-Omics Era
    Dina G. Moussa, Paras Ahmad, Tamer A. Mansour, Walter L. Siqueira
    Frontiers in Cellular and Infection Microbiology.2022;[Epub]     CrossRef
  • Current Knowledge in Skin Metabolomics: Updates from Literature Review
    Alessia Paganelli, Valeria Righi, Elisabetta Tarentini, Cristina Magnoni
    International Journal of Molecular Sciences.2022; 23(15): 8776.     CrossRef
  • Metabolome-wide association study of the relationship between chlorpyrifos exposure and first trimester serum metabolite levels in pregnant Thai farmworkers
    Donghai Liang, Jonathan Batross, Nancy Fiedler, Tippawan Prapamontol, Panrapee Suttiwan, Parinya Panuwet, Warangkana Naksen, Brittney O. Baumert, Volha Yakimavets, Youran Tan, Priya D'Souza, Ampica Mangklabruks, Supattra Sittiwang, Kristsanachai Kaewthit,
    Environmental Research.2022; 215: 114319.     CrossRef
  • Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
    Gabriel A. Kurokawa, Pedro T. Hamamoto Filho, Jeany Delafiori, Aline F. Galvani, Arthur N. de Oliveira, Flávia L. Dias-Audibert, Rodrigo R. Catharino, Maria Inês M. C. Pardini, Marco A. Zanini, Estela de O. Lima, Adriana C. Ferrasi
    International Journal of Molecular Sciences.2022; 24(1): 394.     CrossRef
  • Plasma metabolites associated with exposure to perfluoroalkyl substances and risk of type 2 diabetes – A nested case-control study
    Tessa Schillemans, Lin Shi, Carolina Donat-Vargas, Kati Hanhineva, Andreas Tornevi, Ingegerd Johansson, Jani Koponen, Hannu Kiviranta, Olov Rolandsson, Ingvar A. Bergdahl, Rikard Landberg, Agneta Åkesson, Carl Brunius
    Environment International.2021; 146: 106180.     CrossRef
  • Methionine transsulfuration pathway is upregulated in long-lived humans
    Natàlia Mota-Martorell, Mariona Jové, Consuelo Borrás, Rebeca Berdún, Èlia Obis, Joaquim Sol, Rosanna Cabré, Irene Pradas, José Daniel Galo-Licona, Josep Puig, José Viña, Reinald Pamplona
    Free Radical Biology and Medicine.2021; 162: 38.     CrossRef
  • Investigating metabolism by mass spectrometry: From steady state to dynamic view
    Matteo Audano, Silvia Pedretti, Simona Ligorio, Flavio Giavarini, Donatella Caruso, Nico Mitro
    Journal of Mass Spectrometry.2021;[Epub]     CrossRef
  • The Efficacy of Pilates on Urinary Incontinence in Korean Women: A Metabolomics Approach
    Gyumin Kang, Haelim Lee, Malsoon Shin, Jaekwan Kim, Sungki Lee, Youngja Park
    Metabolites.2021; 11(2): 118.     CrossRef
  • Broad Metabolome Alterations Associated with the Intake of Oral Contraceptives Are Mediated by Cortisol in Premenopausal Women
    Clara Eick, Johanna Klinger-König, Stephanie Zylla, Anke Hannemann, Kathrin Budde, Ann Kristin Henning, Maik Pietzner, Matthias Nauck, Henry Völzke, Hans J. Grabe, Johannes Hertel
    Metabolites.2021; 11(4): 193.     CrossRef
  • Nutritional Metabolomics and the Classification of Dietary Biomarker Candidates: A Critical Review
    Talha Rafiq, Sandi M Azab, Koon K Teo, Lehana Thabane, Sonia S Anand, Katherine M Morrison, Russell J de Souza, Philip Britz-McKibbin
    Advances in Nutrition.2021; 12(6): 2333.     CrossRef
  • MSCAT: A Machine Learning Assisted Catalog of Metabolomics Software Tools
    Jonathan Dekermanjian, Wladimir Labeikovsky, Debashis Ghosh, Katerina Kechris
    Metabolites.2021; 11(10): 678.     CrossRef
  • Defining NASH from a Multi-Omics Systems Biology Perspective
    Lili Niu, Karolina Sulek, Catherine G. Vasilopoulou, Alberto Santos, Nicolai J. Wewer Albrechtsen, Simon Rasmussen, Florian Meier, Matthias Mann
    Journal of Clinical Medicine.2021; 10(20): 4673.     CrossRef
  • Defining Blood Plasma and Serum Metabolome by GC-MS
    Olga Kiseleva, Ilya Kurbatov, Ekaterina Ilgisonis, Ekaterina Poverennaya
    Metabolites.2021; 12(1): 15.     CrossRef
  • Precision Medicine in Childhood Asthma: Omic Studies of Treatment Response
    Javier Perez-Garcia, Esther Herrera-Luis, Fabian Lorenzo-Diaz, Mario González, Olaia Sardón, Jesús Villar, Maria Pino-Yanes
    International Journal of Molecular Sciences.2020; 21(8): 2908.     CrossRef
  • Metabolomic characterization of semen from asthenozoospermic patients using ultra‐high‐performance liquid chromatography–tandem quadrupole time‐of‐flight mass spectrometry
    Li Li, Xinrui Hao, Hua Chen, Liyuan Wang, Aolei Chen, Xiaotian Song, Zhiyan Hu, Ying Su, Han Lin, Pei Fan
    Biomedical Chromatography.2020;[Epub]     CrossRef
  • Comparison of Metabolomic Profiles of Organs in Mice of Different Strains Based on SPME-LC-HRMS
    Katarzyna Burlikowska, Iga Stryjak, Joanna Bogusiewicz, Bogumiła Kupcewicz, Karol Jaroch, Barbara Bojko
    Metabolites.2020; 10(6): 255.     CrossRef
  • Metabolomics and Machine Learning Approaches Combined in Pursuit for More Accurate Paracoccidioidomycosis Diagnoses
    Estela de Oliveira Lima, Luiz Claudio Navarro, Karen Noda Morishita, Camila Mika Kamikawa, Rafael Gustavo Martins Rodrigues, Mohamed Ziad Dabaja, Diogo Noin de Oliveira, Jeany Delafiori, Flávia Luísa Dias-Audibert, Marta da Silva Ribeiro, Adriana Pardini
    mSystems.2020;[Epub]     CrossRef
  • Metabolomics in the study of spontaneous animal diseases
    Helena Tran, Malcolm McConville, Panayiotis Loukopoulos
    Journal of Veterinary Diagnostic Investigation.2020; 32(5): 635.     CrossRef
  • Effect of Pioglitazone on Perihematomal Edema in Intracerebral Hemorrhage Mouse Model by Regulating NLRP3 Expression and Energy Metabolism
    Hoon Kim, Jung Eun Lee, Hyun Ju Yoo, Jae Hoon Sung, Seung Ho Yang
    Journal of Korean Neurosurgical Society.2020; 63(6): 689.     CrossRef
  • Inborn Errors of Metabolism in the Era of Untargeted Metabolomics and Lipidomics
    Ismail, Showalter, Fiehn
    Metabolites.2019; 9(10): 242.     CrossRef
  • Metabolomic profiles of induced pluripotent stem cells derived from patients with rheumatoid arthritis and osteoarthritis
    Juryun Kim, Sunyoung Christina Kang, Na Eun Yoon, Yena Kim, Jinhyeok Choi, Narae Park, Hyerin Jung, Byung Hwa Jung, Ji Hyeon Ju
    Stem Cell Research & Therapy.2019;[Epub]     CrossRef
  • Metabolomics profiles of patients with Wilson disease reveal a distinct metabolic signature
    Gaurav V. Sarode, Kyoungmi Kim, Dorothy A. Kieffer, Noreene M. Shibata, Tomas Litwin, Anna Czlonkowska, Valentina Medici
    Metabolomics.2019;[Epub]     CrossRef
  • Metabolomics study of the therapeutic mechanism of a Chinese herbal formula on collagen-induced arthritis mice
    Zhen Jin, Ji-da Zhang, Xin Wu, Gang Cao
    RSC Advances.2019; 9(7): 3716.     CrossRef
  • Plasma sphingomyelins increase in pre-diabetic Korean men with abdominal obesity
    Seung-Soon Im, Hyeon Young Park, Jong Cheol Shon, In-Sung Chung, Ho Chan Cho, Kwang-Hyeon Liu, Dae-Kyu Song, Kyoung Heon Kim
    PLOS ONE.2019; 14(3): e0213285.     CrossRef
  • Tissue‐Specific Metabolic Profiles After Prolonged Cardiac Arrest Reveal Brain Metabolome Dysfunction Predominantly After Resuscitation
    Jaewoo Choi, Muhammad Shoaib, Tai Yin, Gautam Nayyar, Koichiro Shinozaki, Jan F. Stevens, Lance B. Becker, Junhwan Kim
    Journal of the American Heart Association.2019;[Epub]     CrossRef
  • Global serum metabolomics profiling of colorectal cancer (Review)
    Nurul Amir Hashim, Sharaniza Ab‑Rahim, Leny Suddin, Mohd Ahmad Saman, Musalmah Mazlan
    Molecular and Clinical Oncology.2019;[Epub]     CrossRef
  • Metabolomic Profiling of Human Spermatozoa in Idiopathic Asthenozoospermia Patients Using Gas Chromatography-Mass Spectrometry
    Kai Zhao, Jianzhong Zhang, Zhen Xu, Yue Xu, Aiming Xu, Wei Chen, Chenkui Miao, Shouyong Liu, Zengjun Wang, Ruipeng Jia
    BioMed Research International.2018; 2018: 1.     CrossRef
  • Articles inEndocrinology and Metabolismin 2016
    Won-Young Lee
    Endocrinology and Metabolism.2017; 32(1): 62.     CrossRef
  • Investigation of the effects of storage and freezing on mixes of heavy‐labeled metabolite and amino acid standards
    Rachel Culp‐Hill, Julie A. Reisz, Kirk C. Hansen, Angelo D'Alessandro
    Rapid Communications in Mass Spectrometry.2017; 31(23): 2030.     CrossRef
  • Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics
    Darrell D. Marshall, Robert Powers
    Progress in Nuclear Magnetic Resonance Spectroscopy.2017; 100: 1.     CrossRef
  • Untargeted metabolomics analysis of adipogenic transformation in OP9‐DL1 cells using liquid chromatography‐mass spectrometry: Implications for thymic adipogenesis
    Jianxin Tan, Yajun Wang, Siliang Wang, Nannan Zhang, Simeng Wu, Zhe Yuan, Xike Zhu
    Cell Biology International.2017; 41(4): 447.     CrossRef
  • Gut Microbiota Profiling: Metabolomics Based Approach to Unravel Compounds Affecting Human Health
    Pamela Vernocchi, Federica Del Chierico, Lorenza Putignani
    Frontiers in Microbiology.2016;[Epub]     CrossRef
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