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Mitsumatsu T, Yoshimura Noh J, Iwaku K, Yoshihara A, Watanabe N, Aida A, Yoshimura R, Mikura K, Kinoshita A, Suzuki A, Suzuki N, Fukushita M, Matsumoto M, Sugino K, Ito K. Establishment of reference intervals for fT3, fT4, and TSH levels in Japanese children and adolescents. Endocr J 2023; 70:815-823. [PMID: 37286518 DOI: 10.1507/endocrj.ej22-0154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/09/2023] Open
Abstract
The present study aimed to establish new reference intervals (RIs) for serum free triiodothyronine (fT3), free thyroxine (fT4), and thyroid stimulating hormone (TSH) levels in Japanese children and adolescents aged 4 to 19 years. A total of 2,036 (1,611 girls, 425 boys) participants were included over a 17-year period; they all tested negative for antithyroid antibodies (TgAb, TPOAb) and were found to have no abnormalities on ultrasonography. RIs were determined by nonparametric methods. The results showed that serum fT3 was significantly higher in the 4-15-year-olds than in the 19-year-olds. The serum fT4 was significantly higher in the 4-10-year-olds than in the 19-year-olds. The serum TSH was significantly higher in the 4-12-year-olds than in the 19-year-olds. All of them gradually decreased with age to approximate the adult levels. The upper limit of TSH was lower in those aged 13 to 19 years than in adults. The differences were examined by sex. The serum fT3 was significantly higher in boys than in girls between the ages of 11 and 19 years. The serum fT4 was significantly higher in boys than in girls between the ages of 16 and 19 years. There did not seem to be any sex difference in those under 10 years of age. In conclusion, serum fT3, fT4, and TSH levels in children and adolescents differ from those in adults. It is important to evaluate thyroid function using the new RIs that are appropriate for chronological age.
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Affiliation(s)
- Takako Mitsumatsu
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | | | - Kenji Iwaku
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
- Sapporo Thyroid Clinic (Ito Hospital), Hokkaido 060-0042, Japan
| | - Ai Yoshihara
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | - Natsuko Watanabe
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | - Azusa Aida
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | - Ran Yoshimura
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | - Kentaro Mikura
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | - Aya Kinoshita
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | - Ai Suzuki
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | - Nami Suzuki
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | - Miho Fukushita
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | - Masako Matsumoto
- Department of Internal Medicine, Ito Hospital, Tokyo 150-8308, Japan
| | | | - Koichi Ito
- Department of Surgery, Ito Hospital, Tokyo 150-8308, Japan
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Wilson SM, Bohn MK, Madsen A, Hundhausen T, Adeli K. LMS-based continuous reference percentiles for 14 laboratory parameters in the CALIPER cohort of healthy children and adolescents. Clin Chem Lab Med 2023; 61:1105-1115. [PMID: 36639844 DOI: 10.1515/cclm-2022-1077] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/02/2023] [Indexed: 01/15/2023]
Abstract
OBJECTIVES Marked physiological changes in growth and development present challenges in defining pediatric reference intervals for biomarkers of health and disease. Lambda, Mu, and Sigma (LMS)-based statistical modeling provides a continuous normal distribution by negating skewness and variation, and is commonly used to establish growth charts. Such LMS reference curves are suggested to enhance laboratory test result interpretation. The current study establishes LMS-based continuous reference percentiles for 14 biomarkers in the CALIPER cohort of healthy children and adolescents. METHODS Data from healthy children and adolescents aged 1-<19 years were used to establish continuous reference percentiles using a novel LMS-based statistical method, including 2.5th, 25th, 50th, 75th, and 97.5th percentiles. The LMS approach applies a Box-Cox data transformation and summarizes continuous distributions by age via three curves: skewness (Lambda), median (Mu), and coefficient of variation (Sigma). RESULTS LMS-based percentiles and z-scores were generated for 14 common pediatric biomarkers that demonstrate dynamic concentration patterns with age (e.g., alkaline phosphatase) and/or wherein the magnitude of difference from the population mean may be clinically relevant (e.g., triglycerides). The LMS model captured age- and sex-specific distributions accurately and was not substantially influenced by outlying points. CONCLUSIONS This is the first study to establish LMS-based continuous reference percentiles for biochemical markers in a healthy Canadian pediatric population. The current LMS-based approach builds upon previous continuous reference interval models by providing graded percentiles to improve test result interpretation, particularly with repeated measures over time. This method may assist in facilitating a patient-centered approach to laboratory medicine.
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Affiliation(s)
- Siobhan M Wilson
- CALIPER Program, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Laboratory Medicine & Pathobiology, Faculty of Medicine, 1 King's College Cir, University of Toronto, Toronto, ON, Canada
| | - Mary Kathryn Bohn
- CALIPER Program, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Laboratory Medicine & Pathobiology, Faculty of Medicine, 1 King's College Cir, University of Toronto, Toronto, ON, Canada
| | - Andre Madsen
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Thomas Hundhausen
- Department of Medical Biochemistry, Southern Norway Hospital Trust, Kristiansand, Norway.,Department of Natural Sciences, University of Agder, Kristiansand, Norway
| | - Khosrow Adeli
- CALIPER Program, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Laboratory Medicine & Pathobiology, Faculty of Medicine, 1 King's College Cir, University of Toronto, Toronto, ON, Canada
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Borsò M, Agretti P, Zucchi R, Saba A. Mass spectrometry in the diagnosis of thyroid disease and in the study of thyroid hormone metabolism. MASS SPECTROMETRY REVIEWS 2022; 41:443-468. [PMID: 33238065 DOI: 10.1002/mas.21673] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 06/11/2023]
Abstract
The importance of thyroid hormones in the regulation of development, growth, and energy metabolism is well known. Over the last decades, mass spectrometry has been extensively used to investigate thyroid hormone metabolism and to discover and characterize new molecules involved in thyroid hormones production, such as thyrotropin-releasing hormone. In the earlier period, the quantification methods, usually based on gas chromatography-mass spectrometry, were complicated and time consuming. They were mainly focused on basic research, and were not suitable for clinical diagnostics on a routine basis. The development of the modern mass spectrometers, mainly coupled to liquid chromatography, enabled simpler sample preparation procedures, and the accurate quantification of thyroid hormones, of their precursors, and of their metabolites in biological fluids, tissues, and cells became feasible. Nowadays, molecules of physiological and pathological interest can be assayed also for diagnostic purposes on a routine basis, and mass spectrometry is slowly entering the clinical laboratory. This review takes stock of the advancements in the field of thyroid metabolism that were carried out with mass spectrometry, with special focus on the use of this technique for the quantification of molecules involved in thyroid diseases.
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Affiliation(s)
- Marco Borsò
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Patrizia Agretti
- Department of Laboratory Medicine, Laboratory of Chemistry and Endocrinology, University Hospital of Pisa, Pisa, Italy
| | - Riccardo Zucchi
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Alessandro Saba
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
- Department of Laboratory Medicine, Laboratory of Clinical Pathology, University Hospital of Pisa, Pisa, Italy
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Yao C, Wu M, Liu M, Chen X, Zhu H, Xiong C, Wang D, Xiang Y, Suo G, Wang J, Sun H, Yuan C, Xia Y. Age- and sex-specific reference intervals for thyroid hormones in a Chinese pediatrics: a prospective observational study of 1,279 healthy children. Transl Pediatr 2021; 10:2479-2488. [PMID: 34765471 PMCID: PMC8578761 DOI: 10.21037/tp-21-389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/16/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Thyroid hormones are essential for early neurocognitive development and growth and development in childhood and adolescence. However, the reference intervals (RIs) for thyroid hormones in Chinese pediatric individuals remain unclear. This study aimed to establish thyroid hormone RIs for a Chinese pediatric population according to appropriate age- and sex-specific partitioning. METHODS In this prospective observational study, a total of 1,279 healthy children (singletons, aged from 1 day to 12 years) were recruited, and serum samples were analyzed on a Mindray automated chemiluminescence immunoassay analyzer CL-6000i for thyroid hormone detection, including thyroid-stimulating hormone (TSH), free triiodothyronine (FT3), free thyroxine (FT4), total triiodothyronine (T3), and total thyroxine (T4). Age and sex-specific RIs were established, and the corresponding 95% confidence intervals (CIs) were calculated in accordance with the Clinical Laboratory Standards Institute (CLSI) document C28-A3 guidelines. RESULTS Quantile testing revealed that the median (P50) and RIs [2.5th percentile (P2.5)-97.5th percentile (P97.5)] for TSH, FT3, T3, and T4 of males differed significantly from those of females (P<0.05), except for FT4 (P=0.483). For FT3 and T3, the RIs of males were higher than that of females, and the RI of T4 for males was narrower and higher than that of females [P2.5-P97.5: 72.33-171.60 vs. 72.31-176.27 nmol/L; P50: 116.75 vs. 113.47 nmol/L, P=0.011]. RIs for TSH, FT3, FT4, T3, and T4 showed sex- and age-specific properties and displayed a wide variation during the first month of life but gradually narrowed and concentrated with increasing age. In addition, RIs of TSH, FT3, FT4, and T3 in males differed significantly from females in the first month of life (TSH: 1.46-10.87 vs. 1.08-11.35 mIU/L; FT3: 2.96-7.08 vs. 2.35-7.27 pmol/L, FT4: 13.34-28.65 vs. 13.82-31.83 pmol/L; T3: 0.83-2.33 vs. 0.72-2.46 nmol/L). The RI of T4 also exhibited a difference between males and females in the 9- to 12-year age group (59.31-150.72 vs. 63.29-146.94 pmol/L for males and females, respectively). CONCLUSIONS Pediatric RIs of thyroid hormones display age- and sex-specific trends. The RIs established in this study will improve the accuracy of TSH assay result interpretations and clinical decision-making in clinical laboratories that utilize the Mindray analytical platform.
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Affiliation(s)
- Cong Yao
- Health Care Department, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Mo Wu
- Department of Laboratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Mei Liu
- Department of Laboratory Medicine, Wuhan Hankou Hospital, Wuhan, China
| | - Xiaoqian Chen
- Department of Endocrinology, Genetics & Metabolism, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Hongmin Zhu
- Department of Neurology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Chen Xiong
- Shenzhen Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China
| | - Dan Wang
- Department of Neonatology, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Yun Xiang
- Department of Laboratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Guori Suo
- Shenzhen Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China
| | - Jun Wang
- Department of Laboratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Hong Sun
- Department of Laboratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Chunhui Yuan
- Department of Laboratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Yong Xia
- Clinical Medical Laboratory, Peking University Shenzhen Hospital, Shenzhen, China
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Önsesveren I, Barjaktarovic M, Chaker L, de Rijke YB, Jaddoe VWV, van Santen HM, Visser TJ, Peeters RP, Korevaar TIM. Childhood Thyroid Function Reference Ranges and Determinants: A Literature Overview and a Prospective Cohort Study. Thyroid 2017; 27:1360-1369. [PMID: 28942709 DOI: 10.1089/thy.2017.0262] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Reported cutoffs for childhood thyrotropin (TSH) and free thyroxine (fT4) reference ranges vary widely, and knowledge on the determinants of childhood thyroid function is sparse. This study aimed to summarize the existing studies on thyroid function reference ranges in children. Furthermore, the objective was to investigate the determinants of childhood TSH and fT4 concentration in a population based-prospective cohort. METHODS First, to identify studies on childhood thyroid reference ranges, The National Library of Medicine's PubMed, Embase, Ovid Medline, Web of Science, and Google Scholar databases were systematically searched. Second, in a non-selected sample of 4273 children (median age 6.0 years, range 4.9-9.1 years) from the cohort, the associations of age, sex, anthropometric characteristics, ethnicity, maternal education, and time and season at venipuncture were studied with TSH and fT4 concentrations. The study also investigated to what extent between-individual variations in the determinants of TSH and fT4 could influence the calculation of reference ranges. RESULTS Published reference ranges for TSH and fT4 differ per age range and within age ranges (cutoffs low TSH: 0.13 to >1 mIU/L; high TSH: 2.36 to >10 mIU/L; low fT4: 7.0 to >10 pmol/L; high fT4: 15.5 to >30 pmol/L). In the present cohort, weight, sex, and ethnicity were determinants of TSH (p ≤ 0.03) and fT4 concentrations (p ≤ 0.01), and height and time at venipuncture were determinants of TSH only (p < 0.0001). The between-individual variation depending on clinical determinants for TSH ranged between 0.64 and 0.96 mIU/L (total population 0.87 mIU/L) for the lower limit and 4.30 and 5.62 mIU/L (total population 5.20 mIU/L) for the upper limit, whereas for fT4, the lower limit ranged between 13.6 and 14.2 pmol/L (total population 13.8 pmol/L) and the upper limit ranged between 20.2 and 23.0 pmol/L (total population 20.8 pmol/L). CONCLUSIONS Considerable differences exist in the reported reference ranges for childhood TSH and fT4 across and within age ranges and assays. The present cohort shows only a minimal association between TSH and fT4, suggesting that the hypothalamus-pituitary-thyroid axis remains unaffected by thyroid interfering factors. Various determinants of TSH and fT4 in children were identified, which accounted for a considerable variation of reference range cutoffs.
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Affiliation(s)
- Ibrahim Önsesveren
- 1 The Generation R Study Group, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 2 Department of Internal Medicine, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 3 Academic Center for Thyroid Diseases, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
| | - Mirjana Barjaktarovic
- 1 The Generation R Study Group, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 2 Department of Internal Medicine, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 3 Academic Center for Thyroid Diseases, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
| | - Layal Chaker
- 2 Department of Internal Medicine, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 3 Academic Center for Thyroid Diseases, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
| | - Yolanda B de Rijke
- 2 Department of Internal Medicine, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 4 Department of Clinical Chemistry, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- 1 The Generation R Study Group, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 5 Department of Epidemiology, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 6 Pediatrics, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
| | - Hanneke M van Santen
- 7 Pediatric Endocrinology, Wilhelmina Children's Hospital, University Medical Center , Utrecht, The Netherlands
| | - Theo J Visser
- 2 Department of Internal Medicine, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 3 Academic Center for Thyroid Diseases, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
| | - Robin P Peeters
- 2 Department of Internal Medicine, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 3 Academic Center for Thyroid Diseases, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
| | - Tim I M Korevaar
- 1 The Generation R Study Group, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 2 Department of Internal Medicine, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
- 3 Academic Center for Thyroid Diseases, Erasmus Medical Center-Sophia Children's Hospital , Rotterdam, The Netherlands
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Nielsen TRH, Appel EVR, Svendstrup M, Ohrt JD, Dahl M, Fonvig CE, Hollensted M, Have CT, Kadarmideen HN, Pedersen O, Hansen T, Holm JC, Grarup N. A genome-wide association study of thyroid stimulating hormone and free thyroxine in Danish children and adolescents. PLoS One 2017; 12:e0174204. [PMID: 28333968 PMCID: PMC5363901 DOI: 10.1371/journal.pone.0174204] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Accepted: 03/06/2017] [Indexed: 11/18/2022] Open
Abstract
Background Hypothyroidism is associated with obesity, and thyroid hormones are involved in the regulation of body composition, including fat mass. Genome-wide association studies (GWAS) in adults have identified 19 and 6 loci associated with plasma concentrations of thyroid stimulating hormone (TSH) and free thyroxine (fT4), respectively. Objective This study aimed to identify and characterize genetic variants associated with circulating TSH and fT4 in Danish children and adolescents and to examine whether these variants associate with obesity. Methods Genome-wide association analyses of imputed genotype data with fasting plasma concentrations of TSH and fT4 from a population-based sample of Danish children, adolescents, and young adults, and a group of children, adolescents, and young adults with overweight and obesity were performed (N = 1,764, mean age = 12.0 years [range 2.5−24.7]). Replication was performed in additional comparable samples (N = 2,097, mean age = 11.8 years [1.2−22.8]). Meta-analyses, using linear additive fixed-effect models, were performed on the results of the discovery and replication analyses. Results No novel loci associated with TSH or fT4 were identified. Four loci previously associated with TSH in adults were confirmed in this study population (PDE10A (rs2983511: β = 0.112SD, p = 4.8 ∙ 10−16), FOXE1 (rs7847663: β = 0.223SD, p = 1.5 ∙ 10−20), NR3C2 (rs9968300: β = 0.194SD), p = 2.4 ∙ 10−11), VEGFA (rs2396083: β = 0.088SD, p = 2.2 ∙ 10−10)). Effect sizes of variants known to associate with TSH or fT4 in adults showed a similar direction of effect in our cohort of children and adolescents, 11 of which were associated with TSH or fT4 in our study (p<0.0002). None of the TSH or fT4 associated SNPs were associated with obesity in our cohort, indicating no pleiotropic effects of these variants on obesity. Conclusion In a group of Danish children and adolescents, four loci previously associated with plasma TSH concentrations in adults, were associated with plasma TSH concentrations in children, suggesting comparable genetic determinants of thyroid function in adults and children.
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Affiliation(s)
- Tenna Ruest Haarmark Nielsen
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Emil Vincent Rosenbaum Appel
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mathilde Svendstrup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Johanne Dam Ohrt
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - Maria Dahl
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - Cilius Esmann Fonvig
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mette Hollensted
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christian Theil Have
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Haja N. Kadarmideen
- Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Frederiksberg C, Denmark
- Department of Bio and Health Informatics, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Oluf Pedersen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- * E-mail: (TH); (JCH); (NG)
| | - Jens-Christian Holm
- The Children’s Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- * E-mail: (TH); (JCH); (NG)
| | - Niels Grarup
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- * E-mail: (TH); (JCH); (NG)
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