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Uric acid and sCD163 as biomarkers for metabolic dysfunction and MAFLD in children and adolescents with overweight and obesity

  • Sofie Orry ORCID logo EMAIL logo , Dorthe Dalstrup Jakobsen , Nickolai Malte Kristensen and Jens Meldgaard Bruun
Published/Copyright: June 8, 2023

Abstract

Objectives

The prevalence of childhood obesity increases globally, and noninvasive methods are needed to identify metabolic dysfunction and obesity-related complications such as pediatric metabolic associated fatty liver disease (MAFLD). We investigated whether uric acid (UA) and the macrophage marker soluble form of cysteine scavenger receptor CD163 (sCD163) can be used as biomarkers for deteriorated metabolism or pediatric MAFLD in children with overweight or obesity.

Methods

Cross-sectional clinical and biochemical data from 94 children with overweight or obesity was included. Surrogate liver markers were calculated, and correlations were investigated using Pearson’s or Spearman’s correlation test.

Results

UA and sCD163 correlated with BMI standard deviation score (r=0.23, p<0.05; r=0.33, p<0.01) and body fat (r=0.24, p<0.05; r=0.27, p=0.01). UA correlated with triglycerides (ρ=0.21, p<0.05), fat free mass (r=0.33, p<0.01), and gamma-glutamyl transferase (r=0.39, p<0.01). sCD163 correlated with the pediatric NAFLD fibrosis score (r=0.28, p<0.01) and alanine aminotransferase (r=0.28, p<0.01). No correlation was found between UA and pediatric MAFLD.

Conclusions

UA and sCD163 was identified as markers of a deranged metabolic profile, thus acting as easily accessible biomarkers for obesity and an obesity-related deranged metabolism. Furthermore, increasing levels of sCD163 could be a useful biomarker of pediatric MAFLD. Future prospective studies are warranted.


Corresponding author: Sofie Orry, Steno Diabetes Center Aarhus, Aarhus University Hospital, Palle Juul-Jensens Blvd. 11, Entrance A, 8200 Aarhus N, Aarhus, Denmark, E-mail:

Acknowledgments

We thank the participants, Julemærkefonden, and the staff at Julemærkehjemmet Hobro and Julemærkehjemmet Fjordmark for collaborating during this study.

  1. Research funding: This research was funded by Steno Diabetes Center Aarhus (SDCA) which is partially funded by an unrestricted donation from the Novo Nordisk Foundation, Sygeforsikring ‘’danmark’’ and Arla Foods Amba (unrestricted grant).

  2. Author contributions: The original idea of the study originated from JB and DJ. Data collection was done by DJ and data analysis was done by SO. SO wrote first draft of the manuscript and generated tables and figures. All authors contributed to the review process and the submitted version was approved by all authors.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: The study was performed in accordance with the Declaration of Helsinki and approved by the local Committee of Ethics (Region Midtjylland no: 1-10-72-73-20).

References

1. Ebbeling, CB, Pawlak, DB, Ludwig, DS. Childhood obesity: public-health crisis, common sense cure. Lancet 2002;360:473–82. https://doi.org/10.1016/s0140-6736(02)09678-2.Search in Google Scholar

2. Cole, TJ, Lobstein, T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes 2012;7:284–94. https://doi.org/10.1111/j.2047-6310.2012.00064.x.Search in Google Scholar PubMed

3. Statens Institut for Folkesundhed, S. Overvægt og svær overvægt blandt danske børn og unge. SDU; 2020. Available from: https://www.sdu.dk/sif/-/media/images/sif/udgivelser/2020/overvaegt+og+svaer+overvaegt+blandt+danske+boern+og+unge.pdf.Search in Google Scholar

4. Singh, AS, Mulder, C, Twisk, JW, van Mechelen, W, Chinapaw, MJ. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes Rev 2008;9:474–88. https://doi.org/10.1111/j.1467-789x.2008.00475.x.Search in Google Scholar

5. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA 2001;285:2486–97. https://doi.org/10.1001/jama.285.19.2486.Search in Google Scholar PubMed

6. Copur, S, Demiray, A, Kanbay, M. Uric acid in metabolic syndrome: does uric acid have a definitive role? Eur J Intern Med 2022;103:4–12. https://doi.org/10.1016/j.ejim.2022.04.022.Search in Google Scholar PubMed

7. Bruun, JM, Maersk, M, Belza, A, Astrup, A, Richelsen, B. Consumption of sucrose-sweetened soft drinks increases plasma levels of uric acid in overweight and obese subjects: a 6-month randomised controlled trial. Eur J Clin Nutr 2015;69:949–53. https://doi.org/10.1038/ejcn.2015.95.Search in Google Scholar PubMed

8. Ogura, T, Matsuura, K, Matsumoto, Y, Mimura, Y, Kishida, M, Otsuka, F, et al.. Recent trends of hyperuricemia and obesity in Japanese male adolescents, 1991 through 2002. Metabolism 2004;53:448–53. https://doi.org/10.1016/j.metabol.2003.11.017.Search in Google Scholar PubMed

9. Kong, AP, Choi, KC, Ho, CS, Chan, MH, Ozaki, R, Chan, CW, et al.. Associations of uric acid and gamma-glutamyltransferase (GGT) with obesity and components of metabolic syndrome in children and adolescents. Pediatr Obes 2013;8:351–7. https://doi.org/10.1111/j.2047-6310.2012.00115.x.Search in Google Scholar PubMed

10. Pacifico, L, Cantisani, V, Anania, C, Bonaiuto, E, Martino, F, Pascone, R, et al.. Serum uric acid and its association with metabolic syndrome and carotid atherosclerosis in obese children. Eur J Endocrinol 2009;160:45–52. https://doi.org/10.1530/eje-08-0618.Search in Google Scholar

11. Jørgensen, RM, Bøttger, B, Vestergaard, ET, Kremke, B, Bahnsen, RF, Nielsen, BW, et al.. Uric acid is elevated in children with obesity and decreases after weight loss. Front Pediatr 2021;9:814166. https://doi.org/10.3389/fped.2021.814166.Search in Google Scholar PubMed PubMed Central

12. Cho, MH, Kim, YM, Yoon, JH, Kim, DH, Lim, JS. Serum uric acid in Korean children and adolescents: reference percentiles and association with metabolic syndrome. Ann Pediatr Endocrinol Metab 2020;25:104–11. https://doi.org/10.6065/apem.1938156.078.Search in Google Scholar PubMed PubMed Central

13. Giussani, M, Orlando, A, Tassistro, E, Lieti, G, Patti, I, Antolini, L, et al.. Impact of lifestyle modifications on alterations in lipid and glycemic profiles and uric acid values in a pediatric population. Nutrients 2022;14:1034. https://doi.org/10.3390/nu14051034.Search in Google Scholar PubMed PubMed Central

14. Federation ID. The IDF consensus definition of the metabolic syndrome in children and adolescents; 2007. Available from: https://www.idf.org/e-library/consensus-statements/61-idf-consensus-definition-of-metabolic-syndrome-in-children-and-adolescents.html.Search in Google Scholar

15. Luciano, R, Shashaj, B, Spreghini, M, Del Fattore, A, Rustico, C, Wietrzykowska Sforza, R, et al.. Percentiles of serum uric acid and cardiometabolic abnormalities in obese Italian children and adolescents. Ital J Pediatr 2017;43:3. https://doi.org/10.1186/s13052-016-0321-0.Search in Google Scholar PubMed PubMed Central

16. Eslam, M, Newsome, PN, Sarin, SK, Anstee, QM, Targher, G, Romero-Gomez, M, et al.. A new definition for metabolic dysfunction-associated fatty liver disease: an international expert consensus statement. J Hepatol 2020;73:202–9. https://doi.org/10.1016/j.jhep.2020.03.039.Search in Google Scholar PubMed

17. Le Garf, S, Nègre, V, Anty, R, Gual, P. Metabolic fatty liver disease in children: a growing public health problem. Biomedicines 2021;9:1915. https://doi.org/10.3390/biomedicines9121915.Search in Google Scholar PubMed PubMed Central

18. Liu, J, Mu, C, Li, K, Luo, H, Liu, Y, Li, Z. Estimating global prevalence of metabolic dysfunction-associated fatty liver disease in overweight or obese children and adolescents: systematic review and meta-analysis. Int J Publ Health 2021;66:1604371. https://doi.org/10.3389/ijph.2021.1604371.Search in Google Scholar PubMed PubMed Central

19. Simon, TG, Roelstraete, B, Hartjes, K, Shah, U, Khalili, H, Arnell, H, et al.. Non-alcoholic fatty liver disease in children and young adults is associated with increased long-term mortality. J Hepatol 2021;75:1034–41. https://doi.org/10.1016/j.jhep.2021.06.034.Search in Google Scholar PubMed PubMed Central

20. Jensen, T, Niwa, K, Hisatome, I, Kanbay, M, Andres-Hernando, A, Roncal-Jimenez, CA, et al.. Increased serum uric acid over five years is a risk factor for developing fatty liver. Sci Rep 2018;8:11735. https://doi.org/10.1038/s41598-018-30267-2.Search in Google Scholar PubMed PubMed Central

21. Wu, W, Zhang, H, Xu, X, Huang, K, Fu, J. Intrahepatic fat content and markers of hepatic fibrosis in obese children. Internet J Endocrinol 2016;2016:4890974. https://doi.org/10.1155/2016/4890974.Search in Google Scholar PubMed PubMed Central

22. Di Bonito, P, Valerio, G, Licenziati, MR, Di Sessa, A, Miraglia Del Giudice, E, Morandi, A, et al.. Uric acid versus metabolic syndrome as markers of fatty liver disease in young people with overweight/obesity. Diabetes Metab Res Rev 2022;38:e3559. https://doi.org/10.1002/dmrr.3559.Search in Google Scholar PubMed PubMed Central

23. Sullivan, JS, Le, MT, Pan, Z, Rivard, C, Love-Osborne, K, Robbins, K, et al.. Oral fructose absorption in obese children with non-alcoholic fatty liver disease. Pediatr Obes 2015;10:188–95. https://doi.org/10.1111/ijpo.238.Search in Google Scholar PubMed PubMed Central

24. Vos, MB, Colvin, R, Belt, P, Molleston, JP, Murray, KF, Rosenthal, P, et al.. Correlation of vitamin E, uric acid, and diet composition with histologic features of pediatric NAFLD. J Pediatr Gastroenterol Nutr 2012;54:90–6. https://doi.org/10.1097/mpg.0b013e318229da1a.Search in Google Scholar PubMed PubMed Central

25. Kazankov, K, Møller, HJ, Lange, A, Birkebaek, NH, Holland-Fischer, P, Solvig, J, et al.. The macrophage activation marker sCD163 is associated with changes in NAFLD and metabolic profile during lifestyle intervention in obese children. Pediatr Obes 2015;10:226–33. https://doi.org/10.1111/ijpo.252.Search in Google Scholar PubMed

26. Baffy, G. Kupffer cells in non-alcoholic fatty liver disease: the emerging view. J Hepatol 2009;51:212–23. https://doi.org/10.1016/j.jhep.2009.03.008.Search in Google Scholar PubMed PubMed Central

27. Kazankov, K, Barrera, F, Møller, HJ, Rosso, C, Bugianesi, E, David, E, et al.. The macrophage activation marker sCD163 is associated with morphological disease stages in patients with non-alcoholic fatty liver disease. Liver Int 2016;36:1549–57. https://doi.org/10.1111/liv.13150.Search in Google Scholar PubMed

28. Dalmas, E, Clément, K, Guerre-Millo, M. Defining macrophage phenotype and function in adipose tissue. Trends Immunol 2011;32:307–14. https://doi.org/10.1016/j.it.2011.04.008.Search in Google Scholar PubMed

29. Organization WH. BMI-for-age (5-19 years). Available from: https://www.who.int/tools/growth-reference-data-for-5to19-years/indicators/bmi-for-age.Search in Google Scholar

30. Statistics, L. Pearson’s correlation using stata. Available from: https://statistics.laerd.com/stata-tutorials/pearsons-correlation-using-stata.php.Search in Google Scholar

31. Akoglu, H. User’s guide to correlation coefficients. Turk J Emerg Med 2018;18:91–3. https://doi.org/10.1016/j.tjem.2018.08.001.Search in Google Scholar PubMed PubMed Central

32. Krzystek-Korpacka, M, Patryn, E, Kustrzeba-Wojcicka, I, Chrzanowska, J, Gamian, A, Noczynska, A. Gender-specific association of serum uric acid with metabolic syndrome and its components in juvenile obesity. Clin Chem Lab Med 2011;49:129–36. https://doi.org/10.1515/cclm.2011.011.Search in Google Scholar

33. Shi, L, Berkemeyer, S, Buyken, AE, Maser-Gluth, C, Remer, T. Glucocorticoids and body fat associated with renal uric acid and oxalate, but not calcium excretion, in healthy children. Metabolism 2010;59:134–9. https://doi.org/10.1016/j.metabol.2009.06.027.Search in Google Scholar PubMed

34. Yamashita, S, Matsuzawa, Y, Tokunaga, K, Fujioka, S, Tarui, S. Studies on the impaired metabolism of uric acid in obese subjects: marked reduction of renal urate excretion and its improvement by a low-calorie diet. Int J Obes 1986;10:255–64.Search in Google Scholar

35. Carolan, E, Hogan, AE, Corrigan, M, Gaotswe, G, O’Connell, J, Foley, N, et al.. The impact of childhood obesity on inflammation, innate immune cell frequency, and metabolic microRNA expression. J Clin Endocrinol Metab 2014;99:E474–8. https://doi.org/10.1210/jc.2013-3529.Search in Google Scholar PubMed

36. Cardoso, AS, Gonzaga, NC, Medeiros, CC, Carvalho, DF. Association of uric acid levels with components of metabolic syndrome and non-alcoholic fatty liver disease in overweight or obese children and adolescents. J Pediatr (Rio J). 2013;89:412–8. https://doi.org/10.1016/j.jpedp.2012.12.011.Search in Google Scholar

37. Nier, A, Brandt, A, Conzelmann, IB, Özel, Y, Bergheim, I. Non-alcoholic fatty liver disease in overweight children: role of fructose intake and dietary pattern. Nutrients 2018;10. https://doi.org/10.3390/nu10091329.Search in Google Scholar PubMed PubMed Central

38. Jensen, T, Abdelmalek, MF, Sullivan, S, Nadeau, KJ, Green, M, Roncal, C, et al.. Fructose and sugar: a major mediator of non-alcoholic fatty liver disease. J Hepatol 2018;68:1063–75. https://doi.org/10.1016/j.jhep.2018.01.019.Search in Google Scholar PubMed PubMed Central

39. DiStefano, JK, Shaibi, GQ. The relationship between excessive dietary fructose consumption and paediatric fatty liver disease. Pediatr Obes 2021;16:e12759. https://doi.org/10.1111/ijpo.12759.Search in Google Scholar PubMed PubMed Central

40. Kazankov, K, Alisi, A, Møller, HJ, De Vito, R, Rittig, S, Mahler, B, et al.. Macrophage markers are poorly associated with liver histology in children with nonalcoholic fatty liver disease. J Pediatr Gastroenterol Nutr 2018;67:635–42. https://doi.org/10.1097/mpg.0000000000002111.Search in Google Scholar PubMed

41. De Vito, R, Alisi, A, Masotti, A, Ceccarelli, S, Panera, N, Citti, A, et al.. Markers of activated inflammatory cells correlate with severity of liver damage in children with nonalcoholic fatty liver disease. Int J Mol Med 2012;30:49–56. https://doi.org/10.3892/ijmm.2012.965.Search in Google Scholar PubMed

42. Pozzato, C, Radaelli, G, Dall’Asta, C, Verduci, E, Villa, A, Villa, C, et al.. MRI in identifying hepatic steatosis in obese children and relation to ultrasonography and metabolic findings. J Pediatr Gastroenterol Nutr 2008;47:493–9. https://doi.org/10.1097/mpg.0b013e31817b6e10.Search in Google Scholar PubMed

43. Mosca, A, Panera, N, Crudele, A, Alisi, A. Noninvasive diagnostic tools for pediatric NAFLD: where are we now? Expet Rev Gastroenterol Hepatol 2020;14:1035–46. https://doi.org/10.1080/17474124.2020.1801413.Search in Google Scholar PubMed

44. Mueller, JL, Feeney, ER, Zheng, H, Misdraji, J, Kruger, AJ, Alatrakchi, N, et al.. Circulating soluble CD163 is associated with steatohepatitis and advanced fibrosis in nonalcoholic fatty liver disease. Clin Transl Gastroenterol 2015;6:e114. https://doi.org/10.1038/ctg.2015.36.Search in Google Scholar PubMed PubMed Central

45. Fjeldborg, K, Pedersen, SB, Møller, HJ, Rask, P, Danielsen, AV, Stødkilde-Jørgensen, H, et al.. Intrahepatic fat content correlates with soluble CD163 in relation to weight loss induced by Roux-en-Y gastric bypass. Obesity 2015;23:154–61. https://doi.org/10.1002/oby.20942.Search in Google Scholar PubMed

46. Younossi, ZM, Loomba, R, Anstee, QM, Rinella, ME, Bugianesi, E, Marchesini, G, et al.. Diagnostic modalities for nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, and associated fibrosis. Hepatology 2018;68:349–60. https://doi.org/10.1002/hep.29721.Search in Google Scholar PubMed PubMed Central

47. Patel, K, Sebastiani, G. Limitations of non-invasive tests for assessment of liver fibrosis. JHEP Rep 2020;2: 100067. https://doi.org/10.1016/j.jhepr.2020.100067.Search in Google Scholar PubMed PubMed Central

48. Molleston, JP, Schwimmer, JB, Yates, KP, Murray, KF, Cummings, OW, Lavine, JE, et al.. Histological abnormalities in children with nonalcoholic fatty liver disease and normal or mildly elevated alanine aminotransferase levels. J Pediatr 2014;164:707–13.e3. https://doi.org/10.1016/j.jpeds.2013.10.071.Search in Google Scholar PubMed PubMed Central

49. Draijer, L, Benninga, M, Koot, B. Pediatric NAFLD: an overview and recent developments in diagnostics and treatment. Expet Rev Gastroenterol Hepatol 2019;13:447–61. https://doi.org/10.1080/17474124.2019.1595589.Search in Google Scholar PubMed

50. Alkhouri, N, Mansoor, S, Giammaria, P, Liccardo, D, Lopez, R, Nobili, V. The development of the pediatric NAFLD fibrosis score (PNFS) to predict the presence of advanced fibrosis in children with nonalcoholic fatty liver disease. PLoS One 2014;9:e104558. https://doi.org/10.1371/journal.pone.0104558.Search in Google Scholar PubMed PubMed Central

Received: 2023-05-14
Accepted: 2023-05-22
Published Online: 2023-06-08
Published in Print: 2023-07-26

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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  2. Review Article
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