Skip to main content

ORIGINAL RESEARCH article

Front. Endocrinol., 08 July 2022
Sec. Pediatric Endocrinology
This article is part of the Research Topic Childhood Obesity: Prevention, Management and New Insight in Pathophysiology View all 14 articles

New Insights in Cytokines in Childhood Obesity: Changes in TWEAK and CD163 After a 2-Year Intervention Program in Prepubertal Children With Obesity

Rocío EscartínRocío Escartín1Maria FontMaria Font1Jos Miguel Gonzlez-ClementeJosé Miguel González-Clemente2Joan Vendrell,Joan Vendrell3,4Assumpta CaixsAssumpta Caixàs2Raquel Corripio*Raquel Corripio1*
  • 1Pediatric Endocrine Department, Hospital Universitari Parc Taulí, Institut d’Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona, Sabadell, Spain
  • 2Endocrinology and Nutrition Department, Hospital Universitari Parc Taulí, Institut d’Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona, Sabadell, Spain
  • 3Endocrinology and Diabetes Unit, Research Department, Hospital Universitari Joan XXIII de Tarragona, Institut Pere Virgili, Tarragona, Spain
  • 4CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain

Objective: Obesity is characterized by a low-grade inflammatory state in adipose tissue. Tumor Necrosis Factor Weak Inducer of Apoptosis (TWEAK) and Cluster of Differentiation 163 (CD163) are cytokines potentially involved in the pathogenesis of obesity. Little is known about them in children. The aim of this study was to observe serum levels of TWEAK and CD163 in prepubertal children with obesity compared to lean, and to evaluate its changes after a 2-year intervention program in children with obesity.

Methods: Case-control study with a prospective follow-up of cases for 2 years in a referral pediatric endocrine outpatient centre. Seventy-three prepubertal children with obesity, and forty-seven age- and gender-matched lean controls were studied. Sixty-two cases finished the program. Anthropometric parameters, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), lipid profile, and concentrations of TWEAK and CD163 were determined. Children with obesity were re-evaluated after a 2-year intervention program consisting of diet and exercise. Weight loss was considered if z-score Body Mass Index (BMI) decreased at least 0.5 Standard Deviations (SD).

Results: We observed higher CD163 levels in children with obesity compared to controls. No significant differences were observed in TWEAK and CD163/TWEAK ratio at baseline. After the 2-year intervention program, TWEAK levels were higher and CD163/TWEAK ratio was lower in children with weight loss than those without weight loss. CD163 decreased in both groups.

Conclusion: TWEAK and CD163 seem to have a role in the pathogenesis of obesity in prepubertal children.

Introduction

The prevalence of childhood obesity has increased dramatically in recent decades, becoming a global public health problem (1). Pathological conditions associated with obesity, such as diabetes, hyperlipidemia, or hypertension (2), have been observed mainly in adults. As the prevalence of childhood obesity increases, these conditions are becoming more common among infants and teenagers (38).

Obesity is associated with a chronic inflammatory state in adipose tissue (911). In this context, we can observe altered levels of molecules involved in the regulation of inflammation, called cytokines (1214).

Research on cytokines has increased during the last years in order to identify risk and protective factors of cardiovascular disease and to generate potential target treatments (15, 16).

Tumor Necrosis Factor Weak Inducer of Apoptosis (TWEAK), also known as Tumor Necrosis Factor (TNF) ligand superfamily member 12, is a cytokine involved in multiple biological functions (12, 17, 18). It seems to play a protective role in the regulation of obesity and insulin resistance (15, 19, 20). It was observed that serum levels of soluble TWEAK are lower in adults with severe obesity, and they increase in these patients after a significant weight loss (21).

Cluster of Differentiation 163 (CD163) is a macrophage-specific protein that increases in the context of inflammation (22). In vitro, it has been identified as a scavenger receptor of TWEAK, promoting its degradation (23). Serum levels of CD163 are higher in obesity and insulin resistance, being a strong predictor of type 2 diabetes in adults (24). In cardiovascular diseases, a high CD163/TWEAK ratio was found (25).

Little is known about TWEAK and CD163 in children. The main objective of the study was to evaluate if a significant weight loss in children with obesity may induce changes in these parameters after a 2-year lifestyle intervention program. In addition, the investigation aimed to evaluate serum levels of TWEAK, CD163, and CD163/TWEAK ratio in prepubertal children with obesity compared to lean children.

Patients and Methods

Seventy-three prepubertal children with obesity were included, from an outpatient long-term intervention program over a period of 2 years. Inclusion criteria were the presence of obesity as defined by body mass index (BMI) > 2 standard deviation (SD) scores for age and sex upon Spanish normative charts (26), aged between 6 and 10 years and prepubertal according to Tanner staging (27, 28). Controls were forty-seven prepubertal healthy children attending for preoperative blood tests before minor surgery. They were matched by age and gender. Exclusion criteria were the presence of endocrinopathies, obesity-associated syndrome, and any infectious or inflammatory disease in the past 10 days, or taking medication that affected weight, lipid metabolism, or arterial blood pressure (BP). Written informed consent was obtained from all patients’ parents, and all investigations followed the Helsinki Declaration. The study was approved by the Ethics Committee of our Institution (reference code 2004104).

Baseline Clinical Evaluation

Detailed medical, personal, and family history of obesity and cardiometabolic risk was obtained from all subjects, including birth weight and length for gestational age. A complete physical examination was performed. Height was measured by a Harpenden stadiometer to the nearest 0.1 cm and body weight by balance scale to the nearest 0.1 kg. Waist circumference was measured with a tape at the middle point between the last rib and the superior iliac crest, adjusted to the nearest 0.1 cm, and compared with an age and sex-reference population (29). All measurements were performed for duplication by the same investigator, with the patient in light clothes and without shoes. The mean of the two determinations was used for calculations. Adiposity was evaluated by BMI (calculated as weight in kilograms divided by the square of height in meters). Pubertal development was assessed by direct physical examination according to Tanner staging. Blood pressure was measured by triplicate with the Critikon Dinamap 8100 automatic system (Johnson-Johnson Company, Tampa, FL, USA), with an appropriate sized cuff and after at least ten minutes resting in supine position. The lowest BP value was recorded and evaluated using the percentiles of the International Task Force for Blood Pressure (30).

Obesity degree was fixed with z-BMI using the LMS method (31). We also applied the obesity criteria by Cole (International Obesity Task Force) (32) to our BMI data.

Baseline Metabolic Evaluation

Blood samples were obtained after a 12-hours overnight fast. Concentrations of soluble TWEAK, soluble CD163, alanine aminotransferase (ALT), uric acid, glucose, insulin, cholesterol and triglycerides were determined. Likewise, a standard 2-hours oral glucose tolerance test was performed in subjects with obesity.

Samples were stored at -80°C until their analysis. Plasma glucose was measured by the glucose hexokinase method, insulin by an electrochemiluminescent method, cholesterol and its fractions by cholesterol esterase/oxidase, and triglycerides by lipase/glycerol kinase (Roche Diagnostics, Mannheim, Germany). Intra- and inter-assay coefficient of variation (CV) values were 1.9–2.1% for glucose and 2.6–2.8% for insulin, respectively.

Plasma soluble TWEAK was measured by an enzyme-linked immunoassay (ELISA) technique with a sensitivity of 0.02 pg/mL (intra-assay CV <10%, inter-assay CV <9%). Plasma soluble CD163 was measured by ELISA with a sensitivity of 0.1 ng/mL (intra-assay CV <6%, inter-assay CV <7%). Impaired glucose metabolism was defined according to the American Diabetes Association criteria (33). Insulin resistance was evaluated using the Homeostatic Model Assessment for Insulin Resistance [HOMA IR=fasting insulin (µU/mL)fasting glucose (µmol/L)22,5] (34).

Intervention and Follow-Up

After the baseline evaluation, 73 prepubertal children with obesity started a lifestyle intervention program that included a balanced norm caloric diet adjusted by age and a personally adapted exercise program. The diet contained 30% of energy intake from fat, 15% from protein, and 55% from carbohydrate (5% as sugar). A plan of 30–45 minutes of moderate exercise three times a week was negotiated. Television and video games were limited to a maximum of 2 hours a day. Follow-up visits were scheduled every 4 months.

After 2 years, a clinical and metabolic evaluation was performed with the same parameters as in the baseline evaluation. We considered a significant weight loss if the z-score of BMI had decreased at least 0.5 SD (35).

Statistical Analysis

Data were expressed as mean ± SD for quantitative variables and as percentages for categorical variables. Logarithmic transformation before the analysis was used when variables did not follow a normal distribution. Student’s t-test or Mann-Whitney U test were used for comparing differences between groups. Paired t-test or Wilcoxon test was used to compare variables before and after the intervention program. Bivariate correlations were evaluated with Pearson’s and Spearman’s coefficients as appropriate. Furthermore, some multivariate linear regression models were used. TWEAK, CD163 or CD163/TWEAK ratio as dependent variables and age, sex, weight status (BMI), HOMA-IR and lipid profile, as independent variables. A p value < 0.05 was considered significant. Analyses were performed with SAS v9.4, SAS Institute Inc., Cary, NC, USA.

Results

73 children with obesity and 47 controls were included in the study. Characteristics of subjects are shown in Table 1. Comparing cases and controls, CD163 levels were higher in children with obesity. No statistically significant differences were found in TWEAK and CD163/TWEAK ratio.

TABLE 1
www.frontiersin.org

Table 1 Baseline Subjects Characteristics.

After a 2-year follow-up of the cases, 62 completed the study and 11 dropped out (15%). 31 patients achieved a significant weight loss. Comparing patients with and without weight loss after the intervention program, TWEAK decreased in both groups after the intervention program. However, we observed that this parameter was higher in patients who achieved weight loss, before and after the intervention program. Serum levels of CD163 decreased after 2 years in both groups, and the decrease was more pronounced in patients with weight loss (Figure 1). CD163/TWEAK ratio was higher in children without weight loss, and it increased after 2 years in this group (Figure 2). Data are shown in Table 2.

FIGURE 1
www.frontiersin.org

Figure 1 CD163 decreased after 2 years in both groups, and the decrease was more pronounced in patients with weight loss.

FIGURE 2
www.frontiersin.org

Figure 2 CD163/TWEAK ratio was higher in children without weight loss, and it increased after 2 years in this group.

TABLE 2
www.frontiersin.org

Table 2 Baseline and after 2-years follow up characteristics according to weight loss in children with obesity.

To further understand the relationship between TWEAK and CD163 and the rest of the variables, we carried out some bivariate correlation analysis with each of them. Age, sex, HOMA, and lipid profile were included as independent variables. No significant correlation among all these variables was found.

Forty-nine percent of the patients began puberty (assessed by Tanner stage) during the follow-up phase. After adjusting the regression model by Tanner, results were not modified.

Discussion

TWEAK and CD163 have been linked to obesity and associated cardiovascular diseases in adults (15). However, there are still few data about these cytokines in children.

Our investigation did not find statistically significant differences in TWEAK or CD163/TWEAK ratio of children with obesity compared to controls. A possible explanation for this might be that this cytokine is involved in processes such as cell proliferation and differentiation (36), present in childhood growth. The protective role of TWEAK in obesity is not demonstrated in prepubertal children, although some studies observed an anti-inflammatory role of this cytokine in obese adults (25, 37).

Regarding CD163, this cytokine is higher in adults with obesity, and known as a biomarker of insulin resistance (23). Carolan et al. observed elevated CD163 in children with obesity, suggesting that it could be a biomarker to prioritize lifestyle intervention in childhood (38). In our study, CD163 serum levels were also higher in children with obesity compared to lean.

The present study is the first to observe a favorable effect of a 2-year lifestyle intervention program in prepubertal children who achieved a significant weight loss compared with those who did not. We observed expected higher levels of TWEAK, lower CD163/TWEAK ratio, and a more pronounced decrease of CD163 in the group of patients who achieved weight loss.

This study is the first one to observe the evolution of these parameters in prepubertal children, supporting the hypotheses that these cytokines may play a role in childhood obesity. One study found similar results in adults with severe obesity after weight loss achieved by bariatric surgery (25). Kazankov et al. observed a decrease in CD163 after 10 weeks of a lifestyle intervention in children with a mean age of 12 years (39).

This research has some limitations. It has a weak external validity because all subjects were only from one center. However, inclusion criteria for subjects are enough to guarantee a strong internal validity in our results. Unfortunately we don’t have estradiol, testosterone levels or TWEAK evolution of control group after two years of follow-up.

Our findings show that TWEAK and CD163 may be involved in the pathogenesis of obesity in prepubertal children. Childhood is a necessary stage for the prevention of consequences derived from obesity. This study opens an interesting line of research aimed at this objective.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Ethics Statement

The studies involving human participants were reviewed and approved by CEIC from FUNDACIÓ INSTITUT D’INVESTIGACIÓ I INNOVACIÓ PARC TAULÍ (I3PT). Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.

Author Contributions

AC, RC, and JG-C conceived the study. RC obtained informed consent and clinical variables. JV analyzed samples. MF and RE performed literature search. All authors were involved in writing the paper and had final approval of the submitted and published versions.

Funding

This project was supported by a grant from Fundació Parc Taulí 2004104.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank John Giba for his assistance in language editing.

References

1. Bendor CD, Bardugo A, Pinhas-Hamiel O, Afek A, Twig G. Cardiovascular Morbidity, Diabetes and Cancer Risk Among Children and Adolescents With Severe Obesity. Cardiovasc Diabetol (2020) 19(1):79. doi: 10.1186/s12933-020-01052-1

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Pasquali R, Casanueva F, Haluzik M, van Hulsteijn L, Ledoux S, Monteiro MP, et al. European Society of Endocrinology Clinical Practice Guideline: Endocrine Work-Up in Obesity. Eur J Endocrinol (2020) 182(1):G1–G32. doi: 10.1530/EJE-19-0893

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Thota P, Perez-Lopez FR, Benites-Zapata VA, Pasupuleti V, Hernandez AV. Obesity-Related Insulin Resistance in Adolescents: A Systematic Review and Meta-Analysis of Observational Studies. Gynecol Endocrinol (2017) 33(3):179–84. doi: 10.1080/09513590.2016.1273897

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Weiss R, Dziura J, Burgert T, Tamborlane W, Taksali S, Yeckel C, et al. Obesity and the Metabolic Syndrome in Children and Adolescents. N Engl J Med (2004) 350(23):2362–74. doi: 10.1056/NEJMoa031049

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Sinha R, Fisch G, Teague B, Tamborlane W, Banyas B, Allen K, et al. Prevalence of Impaired Glucose Tolerance Among Children and Adolescents With Marked Obesity. N Engl J Med (2002) 346(11):802–10. doi: 10.1056/NEJMoa012578

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Wiegand S, Maikowski U, Blankenstein O, Biebermann H, Tarnow P, Grüters A. Type 2 Diabetes and Impaired Glucose Tolerance in European Children and Adolescents With Obesity – A Problem That Is No Longer Restricted to Minority Groups. Eur J Endocrinol (2004) 151(2):199–206. doi: 10.1530/eje.0.1510199

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Lobstein T, Jackson-Leach R. Estimated Burden of Paediatric Obesity and Co-Morbidities in Europe. Part 2. Numbers of Children With Indicators of Obesity-Related Disease. Int J Pediatr Obes (2006) 1(1):33–41. doi: 10.1080/17477160600586689

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, et al. Effect of Potentially Modifiable Risk Factors Associated With Myocardial Infarction in 52 Countries (The INTERHEART Study): Case-Control Study. Lancet (2004) 364(9438):937–52. doi: 10.1016/S0140-6736(04)17018-9

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Karczewski J, Śledzińska E, Baturo A, Jończyk I, Maleszko A, Samborski P, et al. Obesity and Inflammation. Eur Cytokine Netw (2018) 29(3):83–94. doi: 10.1684/ecn.2018.0415

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Rohm TV, Meier DT, Olefsky JM, Donath MY. Inflammation in Obesity, Diabetes, and Related Disorders. Immunity (2022) 55(1):31–55. doi: 10.1016/j.immuni.2021.12.013

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Khafagy R, Dash S. Obesity and Cardiovascular Disease: The Emerging Role of Inflammation. Front Cardiovasc Med (2021) 8. doi: 10.3389/fcvm.2021.768119

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Escoté X, Gómez-Zorita S, López-Yoldi M, Milton-Laskibar I, Fernández-Quintela A, Martínez JA, et al. Role of Omentin, Vaspin, Cardiotrophin-1, TWEAK and NOV/CCN3 in Obesity and Diabetes Development. Int J Mol Sci (2017) 18(8):1770. doi: 10.3390/ijms18081770

CrossRef Full Text | Google Scholar

13. Blaszczak AM, Jalilvand A, Hsueh WA. Adipocytes, Innate Immunity and Obesity: A Mini-Review. Front Immunol (2021) 12. doi: 10.3389/fimmu.2021.650768

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Barakat B, Almeida MEF. Biochemical and Immunological Changes in Obesity. Arch Biochem Biophys (2021) 708:108951. doi: 10.1016/j.abb.2021.108951

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Vendrell J, Chacón MR. TWEAK: A New Player in Obesity and Diabetes. Front Immunol (2013) 4. doi: 10.3389/fimmu.2013.00488

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Corripio R, Gónzalez-Clemente JM, Pérez-Sánchez J, Näf S, Gallart L, Nosàs R, et al. Weight Loss in Prepubertal Obese Children is Associated With a Decrease in Adipocyte Fatty-Acid-Binding Protein Without Changes in Lipocalin-2: A 2-Year Longitudinal Study. Eur J Endocrinol (2010) 163(6):887–93. doi: 10.1530/EJE-10-0408

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Yepes M, Winkles JA. Inhibition of TWEAK Activity as a New Treatment for Inflammatory and Degenerative Diseases. Drug News Perspect (2006) 19(10):589–95. doi: 10.1358/dnp.2006.19.10.1068005

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Tiller G, Fischer-Posovszky P, Laumen H, Finck A, Skurk T, Keuper M, et al. Effects of TWEAK (TNF Superfamily Member 12) on Differentiation, Metabolism, and Secretory Function of Human Primary Preadipocytes and Adipocytes. Endocrinology (2009) 150(12):5373–83. doi: 10.1210/en.2009-0488

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Chacón MR, Richart C, Gómez JM, Megía A, Vilarrasa N, Fernández-Real JM, et al. Expression of TWEAK and its Receptor Fn14 in Human Subcutaneous Adipose Tissue. Relationship With Other Inflammatory Cytokines in Obesity. Cytokine (2006) 33(3):129–37. doi: 10.1016/j.cyto.2005.12.005

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Díaz-López A, Chacón MR, Bulló M, Maymó-Masip E, Martínez-González MA, Estruch R, et al. Serum sTWEAK Concentrations and Risk of Developing Type 2 Diabetes in a High Cardiovascular Risk Population: A Nested Case-Control Study. J Clin Endocrinol Metab (2013) 98(8):3482–90. doi: 10.1210/jc.2013-1848

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Maymó-Masip E, Fernández-Veledo S, Garcia España A, Vázquez-Carballo A, Tinahones FJ, García-Fuentes E, et al. The Rise of Soluble TWEAK Levels in Severely Obese Subjects After Bariatric Surgery may Affect Adipocyte-Cytokine Production Induced by Tnfα. J Clin Endocrinol Metab (2013) 98(8):E1323–33. doi: 10.1210/jc.2012-4177

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Etzerodt A, Moestrup SK. CD163 and Inflammation: Biological, Diagnostic, and Therapeutic Aspects. Antioxid Redox Signal (2013) 18(17):2352–63. doi: 10.1089/ars.2012.4834

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Bover LC, Cardó-Vila M, Kuniyasu A, Sun J, Rangel R, Takeya M, et al. A Previously Unrecognized Protein-Protein Interaction Between TWEAK and CD163: Potential Biological Implications. J Immunol (2007) 178(12):8183–94. doi: 10.4049/jimmunol.178.12.8183

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Fjeldborg K, Christiansen T, Bennetzen M, J Møller H, Pedersen SB, Richelsen B. The Macrophage-Specific Serum Marker, Soluble CD163, is Increased in Obesity and Reduced After Dietary-Induced Weight Loss. Obes (Silver Spring) (2013) 21(12):2437–43. doi: 10.1002/oby.20376

CrossRef Full Text | Google Scholar

25. Maymó Masip E. Estudio De La Citocina Tweak Y De Su Receptor Fn14 En El Contexto De La Obesidad. [Thesis]. [Tarragona]: Universitat Rovira i Virgili (2015).

Google Scholar

26. Hernández M, Castellet J, Narvaiza JL, Rincón JM, Ruiz I, Sánchez E, et al. Curvas Y Tablas De Crecimiento. 1988 Ed. Desarrollo I, editor. Madrid: Fundación F Orbegozo (1988). p. 33.

Google Scholar

27. Marshall WA, Tanner JM. Variations in Pattern of Pubertal Changes in Girls. Arch Dis Child. (1969) 44(235):291–303. doi: 10.1136/adc.44.235.291

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Marshall WA, Tanner JM. Variations in the Pattern of Pubertal Changes in Boys. Arch Dis Child. (1970) 45(239):13–23. doi: 10.1136/adc.45.239.13

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Serra Majem L, Ribas Barba L, Aranceta Bartrina J, Pérez Rodrigo C, Saavedra Santana P, Peña Quintana L. [Childhood and Adolescent Obesity in Spain. Result EnKid Study (1998-2000)] Med Clin (Barc) (2003) 121(19):725–32. doi: 10.1016/s0025-7753(03)74077-9

CrossRef Full Text | Google Scholar

30. Adolescents NHBPEPWGoHBPiCa. The Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents. Pediatrics (2004) 114(2 Suppl 4th Report)::555–76.

PubMed Abstract | Google Scholar

31. Cole TJ. The LMS Method for Constructing Normalized Growth Standards. Eur J Clin Nutr (1990) 44(1):45–60.

PubMed Abstract | Google Scholar

32. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a Standard Definition for Child Overweight and Obesity Worldwide: International Survey. BMJ (2000) 320(7244):1240–3. doi: 10.1136/bmj.320.7244.1240

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Association AD. Diagnosis and Classification of Diabetes Mellitus. Diabetes Care (2004) 27 Suppl 1:S5–S10.

PubMed Abstract | Google Scholar

34. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis Model Assessment: Insulin Resistance and Beta-Cell Function From Fasting Plasma Glucose and Insulin Concentrations in Man. Diabetologia (1985) 28(7):412–9. doi: 10.1007/BF00280883

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Reinehr T, Andler W. Changes in the Atherogenic Risk Factor Profile According to Degree of Weight Loss. Arch Dis Child. (2004) 89(5):419–22. doi: 10.1136/adc.2003.028803

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Vendrell J, Maymó-Masip E, Tinahones F, García-España A, Megia A, Caubet E, et al. Tumor Necrosis-Like Weak Inducer of Apoptosis as a Proinflammatory Cytokine in Human Adipocyte Cells: Up-Regulation in Severe Obesity is Mediated by Inflammation But Not Hypoxia. J Clin Endocrinol Metab (2010) 95(6):2983–92. doi: 10.1210/jc.2009-2481

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Vázquez Carballo A. Papel Protector Del TWEAK Sobre La Resistencia a La Insulina Asociada a La Obesidad: Efecto Sobre La Migración Celular. [Thesis]. Madrid: Universidad Complutense de Madrid (2014).

Google Scholar

38. 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(3):E474–8. doi: 10.1210/jc.2013-3529

PubMed Abstract | CrossRef Full Text | Google Scholar

39. 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(3):226–33. doi: 10.1111/ijpo.252

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: TWEAK, CD163, childhood, obesity, prepubertal

Citation: Escartín R, Font M, González-Clemente JM, Vendrell J, Caixàs A and Corripio R (2022) New Insights in Cytokines in Childhood Obesity: Changes in TWEAK and CD163 After a 2-Year Intervention Program in Prepubertal Children With Obesity. Front. Endocrinol. 13:909201. doi: 10.3389/fendo.2022.909201

Received: 31 March 2022; Accepted: 07 June 2022;
Published: 08 July 2022.

Edited by:

Iwona Ben-Skowronek, Medical University of Lublin, Poland

Reviewed by:

Malgorzata Wojcik, Jagiellonian University Medical College, Poland
Isolina Riaño Galan, Central University Hospital of Asturias, Spain
Meritxell Torrabías Rodas, Hospital Universitari de Vic, Spain
Dominika Janus, Jagiellonian University Medical College, Poland

Copyright © 2022 Escartín, Font, González-Clemente, Vendrell, Caixàs and Corripio. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Raquel Corripio, raquelcorripio@gmail.com; rcorripio@tauli.cat

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.