Advances in metabolomics of childhood obesity

LIU Lujie; XU Dong; YIN Chunyan; XIAO Yanfeng

doi:10.11852/zgetbjzz2024-0266

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Chinese Journal of Child Health Care ›› 2024, Vol. 32 ›› Issue (8) : 881-885. DOI: 10.11852/zgetbjzz2024-0266

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Advances in metabolomics of childhood obesity

LIU Lujie¹, XU Dong², YIN Chunyan¹, XIAO Yanfeng¹

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Abstract

Obesity is a disease characterized by the accumulation of adipose tissue and metabolic dysregulation. The prevalence of childhood obesity is on the rise; however, the intricate mechanisms underlying changes in body weight and metabolism remain elusive. Metabolomics, a high-throughput and highly sensitive detection method, enables comprehensive analysis and identification of small molecules or metabolites in biological samples, thereky elucidating the relationship between childhood obesity and metabolism, facilitating the discovery of potential biomarkers and therapeutic targets while providing insights into the pathogenesis of childhood obesity and its associated complications. This review summarizes recent advances in metabolomics research pertaining to childhood obesity.

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children / obesity / metabolomics

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LIU Lujie, XU Dong, YIN Chunyan, XIAO Yanfeng. Advances in metabolomics of childhood obesity[J]. Chinese Journal of Child Health Care. 2024, 32(8): 881-885 https://doi.org/10.11852/zgetbjzz2024-0266

References

[1] Pan X, Wang L, Pan A. Epidemiology and determinants of obesity in China[J]. Lancet Diabetes Endocrinol, 2021, 9(6): 373-392.
[2] 马冠生,米杰,马军. 中国儿童肥胖报告[M].北京:人民卫生出版社,2017.
[3] 任向楠, 梁琼麟. 基于质谱分析的代谢组学研究进展[J]. 分析测试学报, 2017, 36(2): 161-169.
[4] Singh A, Kinnebrew G, Hsu PC, et al. Untargeted metabolomics and body mass in adolescents:A cross-sectional and longitudinal analysis[J]. Metabolites, 2023, 13(8): 899.
[5] Yu X, Dong J, Xiang S, et al. Association of intestinal microbiota and its metabolite markers with excess weight in Chinese children and adolescents[J]. Pediatr Obes, 2023, 18(6): e13019.
[6] Martínez-Rodríguez A, Martínez-Olcina M, Mora J, et al. Anxiolytic effect and improved sleep quality in individuals taking lippia citriodora extract[J]. Nutrients, 2022, 14(1): 218.
[7] Troisi J, Pierri L, Landolfi A, et al. Urinary metabolomics in pediatric obesity and NAFLD identifies metabolic pathways/metabolites related to dietary habits and gut-liver axis perturbations[J]. Nutrients, 2017, 9(5): 485.
[8] Wu J, Li Z, Zhu H, et al. Childhood overweight and obesity: age stratification contributes to the differences in metabolic characteristics[J]. Obesity (Silver Spring), 2024, 32(3): 571-82.
[9] Tong L, Tian M, Ma X, et al. Metabolome profiling and pathway analysis in metabolically healthy and unhealthy obesity among Chinese adolescents aged 11-18 years[J]. Metabolites, 2023, 13(5): 641.
[10] Kerling EH, Hilton JM, Thodosoff JM, et al. Effect of prenatal docosahexaenoic acid supplementation on blood pressure in children with overweight condition or obesity:A secondary analysis of a randomized clinical trial[J]. JAMA Netw Open, 2019, 2(2): e190088.
[11] Lee Y, Cho JY, Cho KY. Serum, urine, and fecal metabolome alterations in the gut microbiota in response to lifestyle interventions in pediatric obesity: A non-randomized clinical trial[J]. Nutrients, 2023, 15(9): 2184.
[12] Soria-Gondek A, Fernández-García P, González L, et al. Lipidome profiling in childhood obesity compared to adults: A pilot study[J]. Nutrients, 2023, 15(15): 3341.
[13] Lau CHE, Siskos AP, Maitre L, et al. Determinants of the urinary and serum metabolome in children from six European populations[J]. Bmc Medicine, 2018, 16(1): 202.
[14] Wahl S, Holzapfel C, Yu ZH, et al. Metabolomics reveals determinants of weight loss during lifestyle intervention in obese children[J]. Metabolomics, 2013, 9(6): 1157-1167.
[15] Lee A, Jang HB, Ra M, et al. Prediction of future risk of insulin resistance and metabolic syndrome based on Korean boy's metabolite profiling[J]. Obes Res Clin Pract, 2015, 9(4): 336-345.
[16] Hellmuth C, Kirchberg FF, Brandt S, et al. An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children[J]. Sci Rep, 2019, 9(1): 5053.
[17] Hollie NI, Cash JG, Matlib MA, et al. Micromolar changes in lysophosphatidylcholine concentration cause minor effects on mitochondrial permeability but major alterations in function[J]. Biochim Biophys Acta, 2014, 1841(6): 888-895.
[18] Mann JP, Jenkins B, Furse S, et al. Comparison of the lipidomic signature of fatty liver in children and adults: A cross-sectional study[J]. J Pediatr Gastroenterol Nutr, 2022, 74(6): 734-741.
[19] Syme C, Czajkowski S, Shin J, et al. Glycerophosphocholine metabolites and cardiovascular disease risk factors in adolescents a cohort study[J]. Circulation, 2016, 134(21): 1629-1636.
[20] López-Contreras BE, Morán-Ramos S, Villarruel-Vázquez R, et al. Composition of gut microbiota in obese and normal-weight Mexican school-age children and its association with metabolic traits[J]. Pediatr Obes, 2018, 13(6): 381-388.
[21] Olson E, Suh JH, Schwarz JM, et al. Effects of isocaloric fructose restriction on ceramide levels in children with obesity and cardiometabolic risk: Relation to hepatic De Novo lipogenesis and insulin sensitivity[J]. Nutrients, 2022, 14(7): 1432.
[22] Yoon H, Shaw JL, Haigis MC, et al. Lipid metabolism in sickness and in health: Emerging regulators of lipotoxicity[J]. Mol Cell, 2021, 81(18): 3708-3730.
[23] Butte NF, Liu Y, Zakeri IF, et al. Global metabolomic profiling targeting childhood obesity in the Hispanic population[J]. Am J Clin Nutr, 2015, 102(2): 256-67.
[24] Pitchika A, Jolink M, Winkler C, et al. Associations of maternal type 1 diabetes with childhood adiposity and metabolic health in the offspring: A prospective cohort study[J]. Diabetologia, 2018, 61(11): 2319-2332.
[25] Hirschel J, Vogel M, Baber R, et al. Relation of whole blood amino acid and acylcarnitine metabolome to age, sex, BMI, puberty, and metabolic markers in children and adolescents[J]. Metabolites, 2020, 10(4): 149.
[26] Moran-Ramos S, Ocampo-Medina E, Gutierrez-Aguilar R, et al. An amino acid signature associated with obesity predicts 2-year risk of hypertriglyceridemia in school-age children[J]. Sci Rep, 2017, 7(1): 5607.
[27] Handakas E, Keski-Rahkonen P, Chatzi L, et al. Cord blood metabolic signatures predictive of childhood overweight and rapid growth[J]. Int J Obes (Lond), 2021, 45(10): 2252-2260.
[28] Perng W, Gillman MW, Fleisch AF, et al. Metabolomic profiles and childhood obesity[J]. Obesity, 2014, 22(12): 2570-2578.
[29] Mauras N, Santen RJ, Colón-Otero G, et al. Estrogens and their genotoxic metabolites are increased in obese prepubertal girls[J]. J Clin Endocrinol Metab, 2015, 100(6): 2322-2328.
[30] Lee SH, Kim SH, Lee WY, et al. Metabolite profiling of sex developmental steroid conjugates reveals an association between decreased levels of steroid sulfates and adiposity in obese girls[J]. J Steroid Biochem Mol Biol, 2016, 162: 100-109.
[31] Reinehr T, Kulle A, Rothermel J, et al. Longitudinal analyses of the steroid metabolome in obese PCOS girls with weight loss[J]. Endocr Connect, 2017, 6(4): 213-224.
[32] Concepcion J, Chen K, Saito R, et al. Identification of pathognomonic purine synthesis biomarkers by metabolomic profiling of adolescents with obesity and type 2 diabetes[J]. PLoS One, 2020, 15(6): e0234970.
[33] Perng W, Ringham BM, Smith HA, et al. A prospective study of associations between in utero exposure to gestational diabetes mellitus and metabolomic profiles during late childhood and adolescence[J]. Diabetologia, 2020, 63(2): 296-312.
[34] Zeng MM, Liang YZ, Li HD, et al. Plasma metabolic fingerprinting of childhood obesity by GC/MS in conjunction with multivariate statistical analysis[J]. J Pharm Biomed Anal, 2010, 52(2): 265-272.
[35] Mccormack SE, Shaham O, Mccarthy MA, et al. Circulating branched-chain amino acid concentrations are associated with obesity and future insulin resistance in children and adolescents[J]. Pediatr Obes, 2013, 8(1): 52-61.
[36] Martos-Moreno GA, Mastrangelo A, Barrios V, et al. Metabolomics allows the discrimination of the pathophysiological relevance of hyperinsulinism in obese prepubertal children[J]. Int J Obes (Lond), 2017, 41(10): 1473-1480.
[37] Mastrangelo A, Martos-Moreno GA, García A, et al. Insulin resistance in prepubertal obese children correlates with sex-dependent early onset metabolomic alterations[J]. Int J Obes (Lond), 2016, 40(10): 1494-1502.
[38] Vanweert F, Schrauwen P, Phielix E. Role of branched-chain amino acid metabolism in the pathogenesis of obesity and type 2 diabetes-related metabolic disturbances BCAA metabolism in type 2 diabetes[J]. Nutr Diabetes, 2022, 12(1): 35.
[39] Hellmuth C, Kirchberg FF, Lass N, et al. Tyrosine is associated with insulin resistance in longitudinal metabolomic profiling of obese children[J]. J Diabetes Res, 2016, 2016: 2108909.
[40] Cussotto S, Delgado I, Anesi A, et al. Tryptophan metabolic pathways are altered in obesity and are associated with systemic inflammation[J]. Front Immunol, 2020, 11: 557.
[41] Short KR, Chadwick JQ, Teague AM, et al. Effect of obesity and exercise training on plasma amino acids and amino metabolites in american indian adolescents[J]. J Clin Endocrinol Metab, 2019, 104(8): 3249-3261.
[42] Bervoets L, Massa G. Classification and clinical characterization of metabolically "healthy" obese children and adolescents[J]. J Pediatr Endocrinol Metab, 2016, 29(5): 553-60.
[43] Mihalik SJ, MichaliszynSF, De Las Heras J, et al. Metabolomic profiling of fatty acid and amino acid metabolism in youth with obesity and type 2 diabetes evidence for enhanced mitochondrial oxidation[J]. Diabetes Care, 2012, 35(3): 605-611.
[44] Gall WE, Beebe K, Lawton KA, et al. α-Hydroxybutyrate is an early biomarker of insulin resistance and glucose intolerance in a nondiabetic population[J]. PLoS One, 2010, 5(5): e10883.