Uric acid and gamma-glutamyl-transferase in children and adolescents with obesity: Association to anthropometric measures and cardiometabolic risk markers depending on pubertal stage, sex, degree of weight loss and type of patient care: Evaluation of the adiposity patient follow-up registry.


Journal

Pediatric obesity
ISSN: 2047-6310
Titre abrégé: Pediatr Obes
Pays: England
ID NLM: 101572033

Informations de publication

Date de publication:
03 2023
Historique:
revised: 28 09 2022
received: 26 12 2021
accepted: 03 10 2022
pubmed: 7 11 2022
medline: 8 2 2023
entrez: 6 11 2022
Statut: ppublish

Résumé

Associations between body mass index (BMI)- standard deviation score (SDS)/waist-to-height ratio (WHtR) were studied with (i) serum uric acid (sUA)/gamma-glutamyl-transferase (GGT) and (ii) cardiometabolic risk markers in children with obesity, considering sex, pubertal development, and degree of weight loss/type of patient care. 102 936 children from the Adiposity-Follow-up registry (APV; 47% boys) were included. Associations were analysed between sUA/GGT and anthropometrics, transaminases, lipids, fasting insulin (FI), homeostasis model assessment of insulin resistance (HOMA-IR), triglycerides to HDL-cholesterol (TG/HDL)-ratio. Follow-up analyses (3-24 months after baseline) considered a BMI-SDS reduction ≥0.2 (n = 11 096) or ≥0.5 (n = 3728). Partialized correlation analyses for sex and BMI-SDS were performed, taking pubertal development into consideration. At baseline, BMI-SDS showed the strongest correlations to sUA (r = 0.35; n = 26 529), HOMA-IR/FI (r = 0.30; n = 5513 /n = 5880), TG/HDL-ratio (r = 0.23; n = 24 501), and WHtR to sUA (r = 0.32; n = 10 805), GGT (r = 0.34; n = 11 862) and Alanine-aminotransferase (ALAT) (r = 0.33; n = 11 821), with stronger correlations in boys (WHtR and GGT: r = 0.36, n = 5793) and prepubertal children (r = 0.36; n = 2216). GGT and sUA (after partializing effects of age, sex, BMI-SDS) showed a correlation to TG/HDL-ratio (r = 0.27; n = 24 501). Following a BMI-SDS reduction ≥0.2 or ≥0.5, GGT was most strongly related to Aspartate-aminotransferase (ASAT)/ ALAT, most evident in prepuberty and with increasing weight loss, and also to TG/HDL-ratio (r = 0.22; n = 1528). Prepubertal children showed strongest correlations between BMI-SDS/WHtR and GGT. ΔBMI-SDS was strongly correlated to ΔsUA (r = 0.30; n = 4160) and ΔGGT (r = 0.28; n = 3562), and ΔWHtR to ΔGGT (r = 0.28; n = 3562) (all p < 0.0001). Abdominal obesity may trigger hyperuricemia and hepatic involvement already in prepuberty. This may be stronger in infancy than anticipated to date. Even moderate weight loss has favourable effects on cardiometabolic risk profile and glucose homeostasis.

Identifiants

pubmed: 36336465
doi: 10.1111/ijpo.12989
doi:

Substances chimiques

Uric Acid 268B43MJ25
gamma-Glutamyltransferase EC 2.3.2.2
Transaminases EC 2.6.1.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e12989

Informations de copyright

© 2022 The Authors. Pediatric Obesity published by John Wiley & Sons Ltd on behalf of World Obesity Federation.

Références

NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 1289 million children, adolescents, and adults. Lancet. 2017;390(10113):2627-2642.
Fan H, Zhang X. Recent trends in overweight and obesity in adilescents aged 12 to 15 Years across 21 countries. Pediatr Obes. 2022;17(1):e12839. doi:10.1111/ijpo.12839
Holl RW, Hoffmeister U, Thamm M, et al. Does obesity lead to a specific lipid disorder? Analysis from the German/Austrian/Swiss APV registry. Int J Pediatr Obes. 2011;6(Suppl 1):53-58.
Reilly JJ, Kelly J. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes (Lond). 2011;35(7):891-898.
Zimmet P, Alberti KG, Kaufman F, et al. The metabolic syndrome in children and adolescents-an IDF consensus report. Pediatr Diabetes. 2007;8(5):299-306.
Weihe P, Spielmann J, Kielstein H, Henning-Klusmann J, Weihrauch-Blüher S. Childhood obesity and cancer risk in adulthood. Curr Obes Rep. 2020;9(3):204-212.
Flechtner-Mors M, Thamm M, Wiegand S, et al. Comorbidities related to BMI category in children and adolescents: German/Austrian/Swiss obesity register APV compared to the German KiGGS study. Horm Res Paediatr. 2012;77(1):19-26.
Weihe P, Weihrauch-Bluher S. Metabolic syndrome in children and adolescents: diagnostic criteria, therapeutic options and perspectives. Curr Obes Rep. 2019;8(4):472-479.
Hivert MF, Sullivan LM, Shrader P, et al. The association of tumor necrosis factor alpha receptor 2 and tumor necrosis factor alpha with insulin resistance and the influence of adipose tissue biomarkers in humans. Metabolism. 2010;59(4):540-546.
Reinehr T. Inflammatory markers in children and adolescents with type 2 diabetes mellitus. Clin Chim Acta. 2019;496:100-107.
Weghuber D, Zelzer S, Stelzer I, et al. High risk vs. “metabolically healthy” phenotype in juvenile obesity - neck subcutaneous adipose tissue and serum uric acid are clinically relevant. Exp Clin Endocrinol Diabetes. 2013;121(7):384-390.
Alper AB Jr, Chen W, Yau L, Srinivasan SR, Berenson GS, Hamm LL. Childhood uric acid predicts adult blood pressure: the Bogalusa heart study. Hypertension. 2005;45(1):34-38.
Mangge H, Zelzer S, Puerstner P, et al. Uric acid best predicts metabolically unhealthy obesity with increased cardiovascular risk in youth and adults. Obesity (Silver Spring). 2013;21(1):E71-E77.
Mărginean CO, Meliţ LE, Ghiga DV, Mărginean MO. Early inflammatory status related to pediatric obesity. Front Pediatr. 2019;7:241.
Kannel WB, Castelli WP, McNamara PM. The coronary profile: 12-year follow-up in the Framingham study. J Occup Med. 1967;9(12):611-619.
Ndrepepa G. Uric acid and cardiovascular disease. Clin Chim Acta. 2018;484:150-163.
Cicerchi C, Li N, Kratzer J, et al. Uric acid-dependent inhibition of AMP kinase induces hepatic glucose production in diabetes and starvation: evolutionary implications of the uricase loss in hominids. FASEB J. 2014;28(8):3339-3350.
Di Bonito P, Valerio G, Licenziati MR, et al. Uric acid, impaired fasting glucose and impaired glucose tolerance in youth with overweight and obesity. Nutr Metab Cardiovasc Dis. 2021;31(2):675-680.
Rantala AO, Lilja M, Kauma H, Savolainen MJ, Reunanen A, Kesäniemi YA. Gamma-glutamyl transpeptidase and the metabolic syndrome. J Intern Med. 2000;248(3):230-238.
Lee DS, Evans JC, Robins SJ, et al. Gamma glutamyl transferase and metabolic syndrome, cardiovascular disease, and mortality risk: the Framingham heart study. Arterioscler Thromb Vasc Biol. 2007;27(1):127-133.
Feig DI, Kang DH, Johnson RJ. Uric acid and cardiovascular risk. N Engl J Med. 2008;359(17):1811-1821.
Ndrepepa G, Colleran R, Kastrati A. Gamma-glutamyl transferase and the risk of atherosclerosis and coronary heart disease. Clin Chim Acta. 2018;476:130-138.
Bluher S, Molz E, Wiegand S, et al. Body mass index, waist circumference, and waist-to-height ratio as predictors of cardiometabolic risk in childhood obesity depending on pubertal development. J Clin Endocrinol Metab. 2013;98(8):3384-3393.
Kromeyer-Hauschild K, Wabitsch M, Kunze D, et al. Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschr Kinderheilkd. 2001;149(8):807-818.
Newton KP, Lavine JE, Wilson L, et al. Alanine aminotransferase and gamma-Glutamyl Transpeptidase predict histologic improvement in pediatric nonalcoholic steatohepatitis. Hepatology. 2020;73(3):937-951.
Ford ES, Li C, Cook S, Choi HK. Serum concentrations of uric acid and the metabolic syndrome among US children and adolescents. Circulation. 2007;115(19):2526-2532.
Wiegand S, Thamm M, Kiess W, et al. German competence network Adipositas. Gamma-glutamyl transferase is strongly associated with degree of overweight and sex. J Pediatr Gastroenterol Nutr. 2011;52(5):635-638.
Lee EH, Kim JY, Yang HR. Association between ectopic pancreatic and hepatic fat and metabolic risk factors in children with non-alcoholic fatty liver disease. Pediatr Obes. 2021;16(10):e12793.
Oses M, Cadenas-Sanchez C, Medrano M, et al. Development of a prediction protocol for the screening of metabolic associated fatty liver disease in children with overweight or obesity. Pediatr Obes. 2022;17(9):e12917.
Feig DI, Soletsky B, Johnson RJ. Effect of allopurinol on blood pressure of adolescents with newly diagnosed essential hypertension: a randomized trial. JAMA. 2008;300(8):924-932.
Agarwal V, Hans N, Messerli FH. Effect of allopurinol on blood pressure: a systematic review and meta-analysis. J Clin Hypertens (Greenwich). 2013;15(6):435-442.
Jachthuber Trub C, Balikcioglu M, Freemark M, et al. Impact of lifestyle intervention on branched-chain amino acid catabolism and insulin sensitivity in adolescents with obesity. Endocrinol Diabetes Metab. 2021;4(3):e00250.
Newbern D, Gumus Balikcioglu P, Balikcioglu M, et al. Sex differences in biomarkers associated with insulin resistance in adolescents with obesity: metabolomic profiling and principal components analysis. J Clin Endocrinol Metab. 2014;99(12):4730-4739.
Koutny F, Stein R, Kiess W, Weghuber D, Körner A. Elevated transaminases potentiate the risk for emerging dysglycemia in children with overweight and obesity. Pediatr Obes. 2021;16(12):e12822. doi:10.1111/ijpo.12822
Mead E, Brown T, Rees K, et al. Diet, physical activity and behavioural interventions for the treatment of overweight or obese children from the age of 6 to 11 years. Cochrane Database Syst Rev. 2017;6(6):6. doi:10.1002/14651858.CD012651
Al-Khudairy L, Loveman E, Colquitt JL, et al. Diet, physical activity and behavioural interventions for the treatment of overweight or adolescents with obesity aged 12 to 17 years. Cochrane Database Syst Rev. 2017;6(6):6.
Muhlig Y, Wabitsch M, Moss A, Hebebrand J. Weight loss in children and adolescents. Deutsches Arzteblatt International. 2014;111(48):818-824.
Kleber M, Lass N, Papcke S, Wabitsch M, Reinehr T. One-year follow-up of untreated obese white children and adolescents with impaired glucose tolerance: high conversion rate to normal glucose tolerance. Diabet Med. 2010;27(5):516-521.
Sethna CB, Alanko D, Wirth MD, et al. Dietary inflammation and cardiometabolic health in adolescents. Pediatr Obes. 2021;16(2):e12706.
Huang T, Larsen KT, Møller NC, Ried-Larsen M, Frandsen U, Andersen LB. Effects of a multi-component camp-based intervention on inflammatory markers and adipokines in children: a randomized controlled trial. Prev Med. 2015;81:367-372.
Robertson W, Fleming J, Kamal A, et al. Randomised controlled trial evaluating the effectiveness and cost-effectiveness of 'Families for Health', a family-based childhood obesity treatment intervention delivered in a community setting for ages 6 to 11 years. Health Technol Assess. 2017;21(1):1-180.
Makni E, Moalla W, Benezzeddine-Boussaidi L, Lac G, Tabka Z, Elloumi M. Correlation of resistin with inflammatory and cardiometabolic markers in adolescents with obesity with and without metabolic syndrome. Obes Facts. 2013;6(4):393-404.
Loureiro C, Godoy A, Martínez A, et al. Metabolic syndrome and its components are strongly associated with an inflammatory state and insulin resistance in the pediatric population. Nutr Hosp. 2015;31(4):1513-1518.
González-Gil EM, Cadenas-Sanchez C, Santabárbara J, et al. Inflammation in metabolically healthy and metabolically abnormal adolescents:the HELENA study. Nutr Metab Cardiovasc Dis. 2018;28(1):77-83.
Marín-Echeverri C, Aristizábal JC, Gallego-Lopera N, et al. Cardiometabolic risk factors in preschool children with abdominal obesity from Medellín. Colombia J Pediatr Endocrinol Metab. 2018;31(11):1179-1189.
Higgins V, Omidi A, Tahmasebi H, et al. Marked influence of adiposity on laboratory biomarkers in a healthy cohort of children and adolescents. J Clin Endocrinol Metab. 2020;105(4):e1781-e1797.
Allard P, Delvin EE, Paradis G, et al. Distribution of fasting plasma insulin, free fatty acids, and glucose concentrations and of homeostasis model assessment of insulin resistance in a representative sample of Quebec children and adolescents. Clin Chem. 2003;49(4):644-649.
Peplies J, Jiménez-Pavón D, Savva SC, et al. Percentiles of fasting serum insulin, glucose, HbA1c and HOMA-IR in pre-pubertal normal weight European children from the IDEFICS cohort. Int J Obes (Lond). 2014;38(Suppl 2):S39-S47.
Aldhoon-Hainerová I, Zamrazilová H, Dušátková L, et al. Glucose homeostasis and insulin resistance: prevalence, gender differences and predictors in adolescents. Diabetol Metab Syndr. 2014;16(1):100.
Aldhoon-Hainerová I, Zamrazilová H, Hill M, Hainer V. Insulin sensitivity and its relation to hormones in adolescent boys and girls. Metabolism. 2017;67:90-98.
Giannini C, Santoro N, Caprio S, et al. The triglyceride-to-HDL cholesterol ratio: association with insulin resistance in obese youths of different ethnic backgrounds. Diabetes Care. 2011;34(8):1869-1874.
Köttgen A, Albrecht E, Teumer A, et al. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat Genet. 2013;45(2):145-154.
Menè P, Punzo G. Uric acid: bystander or culprit in hypertension and progressive renal disease? J Hypertens. 2008;26(11):2085-2092.
Unalp-Arida A, Ruhl CE. Noninvasive fatty liver markers predict liver disease mortality in the U.S. population. Hepatology. 2016;63(4):1170-1183.
Kong AP, Choi KC, Ho CS, et al. Associations of uric acid and gamma-glutamyltransferase (GGT) with obesity and components of metabolic syndrome in children and adolescents. Pediatr Obes. 2013;8(5):351-357.

Auteurs

Susann Weihrauch-Blüher (S)

Clinic for Pediatrics I, Pediatric Endocrinology, University Hospital Halle (Saale), Halle, Germany.

Susanna Wiegand (S)

Center for Social-Pediatric Care/Pediatric Endocrinology and Diabetology, Charité Universitätsmedizin Berlin, Berlin, Germany.

Paul Weihe (P)

Clinic for Pediatrics I, Pediatric Endocrinology, University Hospital Halle (Saale), Halle, Germany.

Nicole Prinz (N)

Institute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Germany.
German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany.

Daniel Weghuber (D)

Department of Paediatrics, Paracelsus Medical University, Salzburg, Austria.

Georg Leipold (G)

Center of Pediatric Cardiology, Regensburg, Germany.

Almut Dannemann (A)

SANA Hospital Lichtenberg, Center for Social-Pediatric Care, Berlin, Germany.

Lara Bergjohann (L)

Clinic for Pediatrics I, Pediatric Endocrinology, University Hospital Halle (Saale), Halle, Germany.

Thomas Reinehr (T)

Vestische Hospital for Children and Adolescents Datteln, Department of Pediatric Endocrinology, Diabetes and Nutrition Medicine, University of Witten/Herdecke, Datteln, Germany.

Reinhard W Holl (RW)

Institute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Germany.
German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany.

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