Home Medicine Moderate-intensity exercise decreases the circulating level of betatrophin and its correlation among markers of obesity in women
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Moderate-intensity exercise decreases the circulating level of betatrophin and its correlation among markers of obesity in women

  • Purwo Sri Rejeki EMAIL logo , Pradika Gita Baskara , Lilik Herawati , Adi Pranoto , Hayuris Kinandita Setiawan , Ronny Lesmana and Shariff Halim
Published/Copyright: March 15, 2022

Abstract

Objectives

Positive energy homeostasis due to overnutrition and a sedentary lifestyle triggers obesity. Obesity has a close relationship with elevated levels of betatrophin and may increase the risk of developing metabolic syndrome. Therefore, lifestyle modification through a nonpharmacological approach based on physical exercise is the right strategy in lowering betatrophin levels. This study aimed to analyze the effect of moderate-intensity interval and continuous exercises on decreased betatrophin levels and the association between betatrophin levels and obesity markers in women.

Methods

A total of 30 women aged 20–24 years old were randomly divided into three groups. Measurement of betatrophin levels using Enzyme-Linked Immunosorbent Assay (ELISA). Data analysis techniques used were one-way ANOVA and parametric linear correlation.

Results

The results showed that the average levels of betatrophin pre-exercise were 200.40 ± 11.03 pg/mL at CON, 203.07 ± 42.48 pg/mL at MIE, 196.62 ± 21.29 pg/mL at MCE, and p=0.978. Average levels of betatrophin post-exercise were 226.65 ± 18.96 pg/mL at CON, 109.31 ± 11.23 pg/mL at MIE, 52.38 ± 8.18 pg/mL at MCE, and p=0.000. Pre-exercise betatrophin levels were positively correlated with age, BMI, FM, WHR, FBG, and PBF (p≤0.001).

Conclusions

Our study showed that betatrophin levels are decreased by 10 min post-MIE and post-MCE. However, moderate-intensity continuous exercise is more effective in lowering betatrophin levels than moderate-intensity interval exercise. In addition, pre-exercise betatrophin levels also have a positive correlation with obesity markers.


Corresponding author: Purwo Sri Rejeki, Department of Medical Physiology and Biochemistry, Physiology Division, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia, E-mail: , Phone: +62 821 4155 9388

Funding source: Fundamental Research Program of the Ministry of Research, Technology and Higher Education, Indonesia

Award Identifier / Grant number: 4/AMD/E1/KP.PTNBH/2020 and 580/UN3.14/PT/2020

Acknowledgments

We would like to express our gratitude to the Faculty of Sport Science, State University of Malang that has provided facilities in the screening process of a prospective research subject and the Fitness Center of Health Ministry of Malang that has provided facilities well. Also, we greatly appreciate and wish to thank Palang Merah Indonesia (PMI) Blood Transfusion Unit (UTD) of Malang that has assisted the blood sampling and blood centrifuge processes. This includes but is not limited to all parties of Physiology Laboratory, Faculty of Medicine, Universitas Brawijaya Malang who have helped the analysis process of betatrophin levels and all volunteers who have participated in this study.

  1. Research funding: This study is supported by the Fundamental Research Program of the Ministry of Research, Technology and Higher Education, Indonesia, under Grant Number: 4/AMD/E1/KP.PTNBH/2020 and 580/UN3.14/PT/2020.

  2. Author contribution: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  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: Based on the ethical standards of the Declaration of Helsinki 1975, this study has been approved by the Health Research Ethics Commission of the Faculty of Medicine, Universitas Airlangga, Surabaya with registration number: 309/EC/KEPK/FKUA/2019.

References

1. Aladeniyi, I, Adeniyi, OV, Fawole, O, Adeolu, M, Goon, DT, Ajayi, AI, et al.. Pattern and correlates of obesity among public service workers in Ondo State, Nigeria: a crosssectional study. S Afr Fam Pract 2017;59:195–200. https://doi.org/10.1080/20786190.2017.1333784.Search in Google Scholar

2. Aktar, N, Qureshi, NK, Ferdous, HS. Obesity: a review of pathogenesis and management strategies in adult. Delta Med Coll J 2017;5:35–48. https://doi.org/10.3329/dmcj.v5i1.31436.Search in Google Scholar

3. Chooi, YC, Ding, C, Magkos, F. The epidemiology of obesity. Metab Clin Exp 2019;92:6–10. https://doi.org/10.1016/j.metabol.2018.09.005.Search in Google Scholar PubMed

4. Windarti, N, Hlaing, SW, Kakinaka, M. Obesity Kuznets curve: international evidence. Publ Health 2019;169:26–35. https://doi.org/10.1016/j.puhe.2019.01.004.Search in Google Scholar PubMed

5. World Health Organization (WHO). Obesity and overweight. Gevena: WHO; 2015. Available from: http://www.who.int/mediacentre/factsheets/fs311/en/.Search in Google Scholar

6. Kibria, GM. Prevalence and factors affecting underweight, overweight and obesity using Asian and World Health Organization cutoffs among adults in Nepal: analysis of the Demographic and Health Survey 2016. Obes Res Clin Pract 2019;13:129–36. https://doi.org/10.1016/j.orcp.2019.01.006.Search in Google Scholar PubMed

7. NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet 2016;387:1377–96. https://doi.org/10.1016/S0140-6736(16)30054-X.Search in Google Scholar PubMed

8. Basic Health Research (Riskesdas). National Report on Basic Health Research. Jakarta: Ministry of Health Indonesia; 2018. Available at: http://www.kesmas.kemkes.go.id.Search in Google Scholar

9. Wang, Y, Lobstein, T. Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes 2006;1:11–25. https://doi.org/10.1080/17477160600586747.Search in Google Scholar PubMed

10. Masuet-Aumatell, C, Ramon-Torrell, JM, Banqué-Navarro, M, Dávalos-Gamboa Mdel, R, Montaño-Rodríguez, SL. Prevalence of overweight and obesity in children and adolescents from Cochabamba (Bolivia); a cross-sectional study. Nutr Hosp 2013;28:1884–91. https://doi.org/10.3305/nh.2013.28.6.6881.Search in Google Scholar

11. 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 128·9 million children, adolescents, and adults. Lancet 2017;390:2627–42. https://doi.org/10.1016/S0140-6736(17)32129-3.Search in Google Scholar PubMed PubMed Central

12. Guthold, R, Stevens, GA, Riley, LM, Bull, FC. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 16 million participants. Lancet Child Adolesc Health 2020;4:23–35. https://doi.org/10.1016/S2352-4642(19)30323-2.Search in Google Scholar PubMed PubMed Central

13. Palermi, S, Iacono, O, Sirico, F, Modestino, M, Ruosi, C, Spera, R, et al.. The complex relationship between physical activity and diabetes: an overview. J Basic Clin Physiol Pharmacol 2021;33:535–47. https://doi.org/10.1515/jbcpp-2021-0279.Search in Google Scholar PubMed

14. Shen, CC, Tseng, YH, Shen, MS, Lin, HH. Effects of Sports massage on the physiological and mental health of college students participating in a 7-week intermittent exercises program. Int J Environ Res Publ Health 2021;18:5013. https://doi.org/10.3390/ijerph18095013.Search in Google Scholar PubMed PubMed Central

15. Korczak, DJ, Madigan, S, Colasanto, M. Children’s physical activity and depression: a meta-analysis. Pediatrics 2017;139: e20162266. https://doi.org/10.1542/peds.2016-2266.Search in Google Scholar PubMed

16. Klop, B, Elte, JWF, Cabezas, MC. Dyslipidemia in obesity: mechanisms and potential targets. Nutrients 2013;4:1218–40. https://doi.org/10.3390/nu5041218.Search in Google Scholar PubMed PubMed Central

17. Boden, G. 45Obesity, insulin resistance and free fatty acids. Curr Opin Endocrinol Diabetes Obes 2011;18:139–43. https://doi.org/10.1097/MED. 0b013e3283444b09.10.1097/MED.0b013e3283444b09Search in Google Scholar PubMed PubMed Central

18. Midha, T, Krishna, V, Nath, B, Kumari, R, Rao, YK, Pandey, U, et al.. Cut-off of body mass index and waist circumference to predict hypertension in Indian adults. World J Clin Cases 2014;2:272–8. https://doi.org/10.12998/wjcc.v2.i7.272.Search in Google Scholar PubMed PubMed Central

19. Félix-Redondo, FJ, Grau, M, Baena-Díez, JM, Dégano, IR, De León, AC, Guembe, MJ. Prevalence of obesity and associated cardiovascular risk: the DARIOS study. BMC Public Health 2013;13:1–10. https://doi.org/10.1186/1471-2458-13-542.Search in Google Scholar PubMed PubMed Central

20. Nimptsch, K, Konigorski, S, Pischon, T. Diagnosis of obesity and use of obesity biomarkers in science and clinical medicine. Metab Clin Exp 2019;92:61–70. https://doi.org/10.1016/j.metabol.2018.12.006.Search in Google Scholar PubMed

21. Hruby, A, Hu, FB. The epidemiology of obesity: a big picture, department of nutrition. Pharmacoeconomics 2015;33:673–89. https://doi.org/10.1007/s40273-014-0243-x.Search in Google Scholar PubMed PubMed Central

22. Fruh, SM. Obesity: risk factors, complications, and strategies for sustainable long-term weight management. J Am Assoc Nurse Pract 2017;29:S3–14. https://doi.org/10.1002/2327-6924.12510.Search in Google Scholar PubMed PubMed Central

23. Ng, M, Fleming, T, Robinson, M, Thomson, B, Graetz, N, Margono, C, et al.. Global regional and national prevalence of overweight and obesity in children and adults 1980–2013: a systematic analysis. Lancet 2014;384:766–81. https://doi.org/10.1016/S0140-6736(14)60460-8.Search in Google Scholar PubMed PubMed Central

24. Segula, D. Complications of obesity in adults: a short review of the literature. Malawi Med J 2014;26:20–4.Search in Google Scholar

25. Kusminski, CM, Bickel, PE, Scherer, PE. Targeting adipose tissue in the treatment of obesity-associated diabetes. Nat Rev Drug Discov 2016;15:639–60. https://doi.org/10.1038/nrd.2016.75.Search in Google Scholar PubMed

26. Abu-Farha, M, Sriraman, D, Cherian, P, AlKhairi, I, Elkum, N, Behbehani, K, et al.. Circulating ANGPTL8/betatrophin is increased in obesity and reduced after exercise training. PLoS One 2016;11: e0147367. https://doi.org/10.1371/journal.pone.0147367.Search in Google Scholar PubMed PubMed Central

27. Crujeiras, AB, Zulet, MA, Abete, I, Amil, M, Carreira, MC, Martínez, JA, et al.. Interplay of atherogenic factors, protein intake and betatrophin levels in obese–metabolic syndrome patients treated with hypocaloric diets. Int J Obes 2016;40:403–10. https://doi.org/10.1111/eva.12876.Search in Google Scholar PubMed PubMed Central

28. Fu, Z, Abou-Samra, AB, Zhang, R. An explanation for recent discrepancies in levels of human circulating betatrophin. Diabetologia 2014;57:2232–4. https://doi.org/10.1007/s00125-014-3346-1.Search in Google Scholar PubMed

29. Maurer, L, Schwarz, F, Fischer-Rosinsky, A, Schlueter, N, Brachs, S, Möhlig, M, et al.. Renal function is independently associated with circulating betatrophin. PLoS One 2017;12:1–10. https://doi.org/10.1371/journal.pone.0173197.Search in Google Scholar PubMed PubMed Central

30. Qu, Q, Zhao, D, Zhang, F, Bao, H, Yang, Q. Serum betatrophin levels are increased and associated with insulin resistance in patients with polycystic ovary syndrome. J Int Med Res 2017;45:193–202. https://doi.org/10.1177/0300060516680441.Search in Google Scholar PubMed PubMed Central

31. Chi, X, Britt, EC, Shows, HW, Hjelmaas, AJ, Shetty, SK, Cushing, EM, et al.. ANGPTL8 promotes the ability of ANGPTL3 to bind and inhibit lipoprotein lipase. Mol Metabol 2017;6:1137–49. https://doi.org/10.1016/j.molmet.2017.06.014.Search in Google Scholar PubMed PubMed Central

32. Bace, E, Karpisek, M, Stejskal, D, Kotolova, H, Ruzicka, V, Hlozankova, M. Betatrophin – a new insight into lipid homeostasis. Atherosclerosis 2017;263:e111–282. https://doi.org/10.1016/j.atherosclerosis.2017.06.815.Search in Google Scholar

33. Xie, X, Gao, T, Yang, M, Chen, P, Jin, H, Yang, L, et al.. Associations of betatrophin levels with irisin in Chinese women with normal glucose tolerance. Diabetol Metab Syndrome 2015;7:1–8. https://doi.org/10.1186/s13098-015-0019-2.Search in Google Scholar PubMed PubMed Central

34. Zheng, J, Liu, J, Hong, BS, Ke, W, Huang, M, Li, Y. Circulating betatrophin/ANGPTL8 levels correlate with body fat distribution in individuals with normal glucose tolerance but not those with glucose disorders. BMC Endocr Disord 2020;20:1–9. https://doi.org/10.1186/s12902-020-0531-8.Search in Google Scholar PubMed PubMed Central

35. Longo, M, Zatterale, F, Naderi, J, Parrillo, L, Formisano, P, Raciti, GA, et al.. Adipose tissue dysfunction as determinant of obesity-associated metabolic complications. Int J Mol Sci 2019;20:1–23. https://doi.org/10.3390/ijms20092358.Search in Google Scholar PubMed PubMed Central

36. Gómez-Hernández, A, Beneit, N, Díaz-Castroverde, S, Escribano, Ó. Differential role of adipose tissues in obesity and related metabolic and vascular complications. Int J Endocrinol 2016;2016. https://doi.org/10.1155/2016/1216783.Search in Google Scholar PubMed PubMed Central

37. Susanto, H, Taufiq, A, Sugiharto, Merawati, D, Badu, KM, Purnomo, JDT, et al.. Moderate-intensity exercise and musical Co-treatment decreased the circulating level of betatrophin. Int J Endocrinol 2020;2020:1–9. https://doi.org/10.1155/2020/3098261.Search in Google Scholar

38. Palermi, S, Sacco, AM, Belviso, I, Romano, V, Montesano, P, Corrado, B, et al.. Guidelines for physical activity-A cross-sectional study to assess their application in the general population. Have we achieved our goal? Int J Environ Res Publ Health 2020;17:3980. https://doi.org/10.3390/ijerph17113980.Search in Google Scholar PubMed PubMed Central

39. Palermi, S, Bragazzi, NL, Cular, D, Ardigò, LP, Padulo, J. How chest press-based exercises can alleviate the burden of cardiovascular diseases. Hum Mov 2022;23. https://doi.org/10.5114/hm.2021.106911.Search in Google Scholar

40. Enteshary, M, Esfarjani, F, Reisi, J. Comparison of the effects of two different intensities of combined training on irisin, betatrophin, and insulin levels in women with type 2 diabetes. Asian J Sports Med 2019;10: e68943. https://doi.org/10.5812/asjsm.68943.Search in Google Scholar

41. Rejeki, PS, Pranoto, A, Prasetya, RE, Sugiharto. Irisin serum increasing pattern is higher at moderate-intensity continuous exercise than at moderate-intensity interval exercise in obese females. Comp Exerc Physiol 2021;17:475–84. https://doi.org/10.3920/CEP200050.Search in Google Scholar

42. Dias, KA, Ingul, CB, Tjonna, AE, Keating, SE, Gomersall, SR, Follestad, T, et al.. Effect of high-intensity interval training on fitness, fat mass and cardiometabolic biomarkers in children with obesity: a randomised controlled trial. Sports Med 2017;48:733–46. https://doi.org/10.1007/s40279-017-0777-0.Search in Google Scholar PubMed

43. Wewege, M, van den Berg, R, Ward, RE, Keech, A. The effects of high-intensity interval training vs. moderate-intensity continuous training on body composition in overweight and obese adults: a systematic review and meta-analysis. Obes Rev 2017;18:635–46. https://doi.org/10.1111/obr.12532.Search in Google Scholar PubMed

44. Norton, K, Norton, L, Sadgrove, D. Position statement on physical activity and exercise intensity terminology. J Sci Med Sport 2010;13:496–502. https://doi.org/10.1016/j.jsams.2009.09.008.Search in Google Scholar PubMed

45. Nygaard, H, Slettalokken, G, Vegge, G, Hollan, I, Whist, JE, Strand, T, et al.. Irisin in blood increases transiently after single sessions of intense endurance exercise and heavy strength training. PLoS One 2015;10:1–12. https://doi.org/10.1371/journal.pone.0121367.Search in Google Scholar PubMed PubMed Central

46. Kraemer, RR, Shockett, P, Webb, ND, Shah, U, Castracane, VD. A transient elevated irisin blood concentration in response to prolonged, moderate aerobic exercise in young men and women. Horm Metab Res 2014;46:150–4. https://doi.org/10.1055/s-0033-1355381.Search in Google Scholar PubMed

47. Nedic´, O, Šunderic´, M, Miljuš, G, Valdevit, Z, Jakovljevic´, V, Glibetic´, M, et al.. Preparatory training attenuates drastic response of the insulin-like growth factor binding protein 1 at the point of maximal oxygen consumption in handball players. J Sport Health Sci 2017;6:372–7. https://doi.org/10.1016/j.jshs.2016.01.014.Search in Google Scholar PubMed PubMed Central

48. Qiu, S, Bosnyák, E, Treff, G, Steinacker, JM, Nieß, AM, Krüger, K, et al.. Acute exercise-induced irisin release in healthy adults: associations with training status and exercise mode. Eur J Sport Sci 2018;18:1226–33. https://doi.org/0.1080/17461391.2018.1478452.10.1080/17461391.2018.1478452Search in Google Scholar PubMed

49. Huh, JY, Siopi, A, Mougios, V, Park, KH, Mantzoros, CS. Irisin in response to exercise in humans with and without metabolic syndrome. J Clin Endocrinol Metab 2015;100:E453–7. https://doi.org/10.1210/jc.2014-2416.Search in Google Scholar PubMed

50. Elizondo-Montemayor, L, Silva-Platas, C, Torres-Quintanilla, A, Rodríguez-López, C, Ruiz-Esparza, GU, Reyes-Mendoza, E, et al.. Association of irisin plasma levels with anthropometric parameters in children with underweight, normal weight, overweight, and obesity. BioMed Res Int 2017;2017:1–11. https://doi.org/10.1155/2017/2628968.Search in Google Scholar PubMed PubMed Central

51. Daskalopoulou, SS, Cooke, AB, Gomez, YH, Mutter, AF, Filippaios, A, Mesfum, ET, et al.. Plasma irisin levels progressively increase in response to increasing exercise workloads in young, healthy, active subjects. Eur J Endocrinol 2014;171:343–52. https://doi.org/10.1530/EJE-14-0204.Search in Google Scholar PubMed

52. Tsuchiya, Y, Ando, D, Goto, K, Kiuchi, M, Yamakita, M, Koyama, K. High-intensity exercise causes greater irisin response compared with low-intensity exercise under similar energy consumption. Tohoku J Exp Med 2014;233:135–40. https://doi.org/10.1620/tjem.233.135.Search in Google Scholar PubMed

53. Tsuchiya, Y, Ando, D, Takamatsu, K, Goto, K. Resistance exercise induces a greater irisin response than endurance exercise. Metab Clin Exp 2015;64:1042–50. https://doi.org/10.1016/j.metabol.2015.05.010.Search in Google Scholar PubMed

54. Ye, J, Qin, Y, Wang, D, Yang, L, Yuan, G. The relationship between circulating ANGPTL8/betatrophin concentrations and adult obesity: a meta-analysis. Dis Markers 2019;2019:5096860. https://doi.org/10.1155/2019/5096860.Search in Google Scholar PubMed PubMed Central

55. Kong, FJ, Ma, LL, Li, G, Chen, YX, Zhou, JQ. Circulating betatrophin levels and gestational diabetes mellitus: a systematic review and meta-analysis. PLoS One 2017;12: e0169941. https://doi.org/10.1371/journal.pone.0169941.Search in Google Scholar PubMed PubMed Central

56. Zheng, X, Qi, Y, Bi, L, Shi, W, Zhang, Y, Zhao, D, et al.. Effects of exercise on blood glucose and glycemic variability in type 2 diabetic patients with dawn phenomenon. BioMed Res Int 2020;2020:6408724. https://doi.org/10.1155/2020/6408724.Search in Google Scholar PubMed PubMed Central

57. van Dijk, JW, Venema, M, van Mechelen, W, Stehouwer, CD, Hartgens, F, van Loon, LJ. Effect of moderate-intensity exercise versus activities of daily living on 24-hour blood glucose homeostasis in male patients with type 2 diabetes. Diabetes Care 2013;36:3448–53. https://doi.org/10.2337/dc12-2620.Search in Google Scholar PubMed PubMed Central

58. Fu, Z, Berhane, F, Fite, A, Seyoum, B, Abou-Samra, AB, Zhang, R. Elevated circulating lipasin/betatrophin in human type 2 diabetes and obesity. Sci Rep 2014;4:1–5. https://doi.org/10.1038/srep05013.Search in Google Scholar PubMed PubMed Central

59. Zhang, R. Lipasin, a novel nutritionally-regulated liver-enriched factor that regulates serum triglyceride levels. Biochem Biophys Res Commun 2012;424:786–92. https://doi.org/10.1016/j.bbrc.2012.07.038.Search in Google Scholar PubMed

60. Gusarova, V, Alexa, CA, Na, E, Stevis, PE, Xin, Y, Bonner-Weir, S, et al.. ANGPTL8/betatrophin does not control pancreatic beta cell expansion. Cell 2014;159:691–6. https://doi.org/10.1016/j.cell.2014.09.027.Search in Google Scholar PubMed PubMed Central

61. Wang, H, Lai, Y, Han, C, Liu, A, Fan, C, Wang, H, et al.. The effects of serum ANGPTL8/betatrophin on the risk of developing the metabolic syndrome - a prospective study. Sci Rep 2016;6:28431. https://doi.org/10.1038/srep28431.Search in Google Scholar PubMed PubMed Central

62. Hall, JE. Guyton and Hall Textbook of Medical Physiology, 13th ed. United States of America: Elsevier; 2016.Search in Google Scholar

63. Guo, K, Lu, J, Yu, H, Zhao, F, Pan, P, Zhang, L, et al.. Serum betatrophin concentrations are significantly increased in overweight but not in obese or type 2 diabetic individuals. Obesity 2015;23:793–7. https://doi.org/10.1002/oby.21038.Search in Google Scholar PubMed

64. Gómez-Ambrosi, J, Pascual, E, Catalán, V, Rodríguez, A, Ramírez, B, Silva, C, et al.. Circulating betatrophin concentrations are decreased in human obesity and type 2 diabetes. J Clin Endocrinol Metab 2014;99:E2004–9. https://doi.org/10.1210/jc.2014-1568.Search in Google Scholar PubMed

65. Barja-Fernández, S, Folgueira, C, Seoane, LM, Casanueva, FF, Dieguez, C, Castelao, C, et al.. Circulating betatrophin levels are increased in anorexia and decreased in morbidly obese women. J Clin Endocrinol Metab 2015;100:E1188–96. https://doi.org/10.1210/JC.2015-1595.Search in Google Scholar PubMed

66. Wu, S, Gao, H, Ma, Y, Fu, L, Zhang, C, Luo, X. Characterisation of betatrophin concentrations in childhood and adolescent obesity and insulin resistance. Pediatr Diabetes 2016;17:53–60. https://doi.org/10.1111/pedi.12233.Search in Google Scholar PubMed

67. Fenzl, A, Itariu, BK, Kosi, L, Fritzer-Szekeres, M, Kautzky-Willer, A, Stulnig, TM, et al.. Circulating betatrophin correlates with atherogenic lipid profiles but not with glucose and insulin levels in insulin-resistant individuals. Diabetologia 2014;57:1204–8. https://doi.org/10.1007/s00125-014-3208-x.Search in Google Scholar PubMed

68. Roth, CL, Elfers, C, Lass, N, Reinehr, T. Betatrophin: no relation to glucose metabolism or weight status in obese children before and after lifestyle intervention. Pediatr Diabetes 2017;18:485–91. https://doi.org/10.1111/pedi.12412.Search in Google Scholar PubMed

69. Battal, F, Türkön, H, Aylanç, N, Aylanç, H, Yıldırım, Ş, Kaymaz, N, et al.. Investigation of blood betatrophin levels in obese children with non-alcoholic fatty liver disease. Pediatr Gastroenterol, Hepatol Nutr 2018;21:111–7. https://doi.org/10.5223/pghn.2018.21.2.111.Search in Google Scholar PubMed PubMed Central

70. Pu, D, Li, L, Yin, J, Liu, R, Yang, G, Liao, Y, et al.. Circulating ANGPTL8 is associated with the presence of metabolic syndrome and insulin resistance in polycystic ovary syndrome young women. Mediat Inflamm 2019;2019:6321427. https://doi.org/10.1155/2019/6321427.Search in Google Scholar PubMed PubMed Central

71. Abu-Farha, M, Abubaker, J, Noronha, F, Al-Khairi, I, Cherian, P, Alarouj, M, et al.. Lack of associations between betatrophin/ANGPTL8 level and C-peptide in type 2 diabetic subjects. Cardiovasc Diabetol 2015;14:112. https://doi.org/10.1186/s12933-015-0277-1.Search in Google Scholar PubMed PubMed Central

72. Maurer, L, Brachs, S, Decker, AM, Brachs, M, Leupelt, V, von Schwartzenberg, RJ, et al.. Weight loss partially restores glucose-driven betatrophin response in humans. J Clin Endocrinol Metab 2016;101:4014–20. https://doi.org/10.1210/jc.2016-1788.Search in Google Scholar PubMed

73. Ren, G, Kim, JY, Smas, CM. Identification of RIFL, a novel adipocyte-enriched insulin target gene with a role in lipid metabolism. Am J Physiol Endocrinol Metab 2012;303:E334–51. https://doi.org/10.1152/ajpendo.00084.2012.Search in Google Scholar PubMed PubMed Central

74. Abu-Farha, M, Abubaker, J, Tuomilehto, J. ANGPTL8 (betatrophin) role in diabetes and metabolic diseases. Diabetes/Metab Res Rev 2017;33:e2919. https://doi.org/10.1002/dmrr.2919.Search in Google Scholar PubMed

Received: 2021-12-22
Revised: 2022-02-04
Accepted: 2022-02-15
Published Online: 2022-03-15

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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