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Licensed Unlicensed Requires Authentication Published by De Gruyter October 26, 2023

The N221D variant in PCSK1 is highly prevalent in childhood obesity and can influence the metabolic profile

  • Blanca Guijo , Jesús Argente and Gabriel Ángel Martos-Moreno EMAIL logo

Abstract

Objectives

To study the prevalence and influence on metabolic profile of the prohormone-convertase-1 (PCSK1) N221D variant in childhood obesity, proven its role in the leptin-melanocortin signaling pathway as in proinsulin and other prohormone cleavage.

Methods

Transversal study of 1066 children with obesity (mean age and BMI Z-score 10.38 ± 3.44 years and +4.38 ± 1.77, respectively), 51.4 % males, 54.4 % prepubertal, 71.5 % Caucasians and 20.8 % Latinos. Anthropometric and metabolic features were compared between patients carrying the N221D variant in PCSK1 and patients with no variants found after next generation sequencing analysis of 17 genes (CREBBP, CPE, HTR2C, KSR2, LEP, LEPR, MAGEL2, MC3R, MC4R, MRAP2, NCOA1, PCSK1, POMC, SH2B1, SIM1, TBX3 and TUB) involved in the leptin-melanocortin pathway.

Results

No variants were found in 531 patients (49.8 %), while 68 patients carried the PCSK1 N221D variant (42 isolately, and 26 with at least one additional gene variant). Its prevalence was higher in Caucasians vs. Latinos (χ2 7.81; p<0.01). Patients carrying exclusively the PCSK1 N221D variant (n=42) showed lower insulinemia (p<0.05), HOMA index (p<0.05) and area under the curve for insulin in the oral glucose tolerance test (p<0.001) and higher WBISI (p<0.05) than patients with no variants, despite similar obesity severity, age, sex and ethnic distribution.

Conclusions

The N221D variant in PCSK1 is highly prevalent in childhood obesity, influenced by ethnicity. Indirect estimation of insulin resistance, based on insulinemia could be byassed in these patients and underestimate their type 2 diabetes mellitus risk.


Corresponding author: Gabriel Ángel Martos-Moreno, Departments of Pediatrics and Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación La Princesa, Madrid, Spain; Department of Pediatrics, Universidad Autónoma de Madrid, Madrid, Spain; and CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain, Phone: +34 915035900, Mobile: +34 658682244, E-mail:

Funding source: Fondo de Investigación Sanitaria. ISCIII

Award Identifier / Grant number: FIS: PI09/91060, PI10/00747, PI13/02195, PI16/0048

Funding source: Instituto de Salud Carlos III.

Award Identifier / Grant number: CIBER FisiopatologÃ-a de la Obesidad y Nutrición

  1. Research ethics: The project was approved by the Medical Ethical Committee at the Hospital Infantil Universitario Niño Jesús (local ID R0014/10) and is in accordance with the “Ethical Principles for Medical Research Involving Human Subjects” adopted in the Declaration of Helsinki by the World Medical Association (64th WMA General Assembly, Fortaleza, Brazil, October 2013).

  2. Informed consent: Written informed consent was obtained from all parents or their legal guardian, and patients over 12 years of age granted their informed assent, after the study and the procedures included had been fully explained.

  3. Author contributions: JA and GAMM designed the study and performed the clinical workup with the patients. All authors were involved in data compilation, analysis, result discussion and manuscript writing. All three authorsave accepted responsibility for the content of this submitted manuscript and approved submission.

  4. Competing interests: The authors state no conflicts of interest.

  5. Research funding: CIBER Fisiopatología de la Obesidad y Nutrición (CB06/03). Instituto de Salud Carlos III, Fondo de Investigación Sanitaria (FIS: PI09/91060, PI10/00747, PI13/02195, PI16/00485, PI 19/00166 & PI 22/01820).

  6. Data availability: “The raw data can be obtained on request from the corresponding author.”

References

1. Finucane, MM, Stevens, GA, Cowan, M, Danaei, G, Lin, JK, Paciorek, CJ, et al.. National, regional, and global trends in body mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet Lond Engl 2011;377:557–67, https://doi.org/10.1016/s0140-6736(10)62037-5.Search in Google Scholar PubMed PubMed Central

2. Stijnen, P, Tuand, K, Varga, TV, Franks, PW, Aertgeerts, B, Creemers, JWM. The association of common variants in PCSK1 with obesity: a HuGE review and meta-analysis. Am J Epidemiol 2014;180:1051–65, https://doi.org/10.1093/aje/kwu237.Search in Google Scholar PubMed

3. Serra-Juhé, C, Martos-Moreno, GÁ, Bou de Pieri, F, Flores, R, Chowen, JA, Pérez-Jurado, LA, et al.. Heterozygous rare genetic variants in non-syndromic early-onset obesity. Int J Obes 2005. 2020;44:830-41, https://doi.org/10.1038/s41366-019-0357-5.Search in Google Scholar PubMed PubMed Central

4. Jackson, RS, Creemers, JW, Ohagi, S, Raffin-Sanson, ML, Sanders, L, Montague, CT, et al.. Obesity and impaired prohormone processing associated with mutations in the human prohormone convertase 1 gene. Nat Genet 1997;16:303–6, https://doi.org/10.1038/ng0797-303.Search in Google Scholar PubMed

5. Montague, CT, Farooqi, IS, Whitehead, JP, Soos, MA, Rau, H, Wareham, NJ, et al.. Congenital leptin deficiency is associated with severe early-onset obesity in humans. Nature 1997;387:903–8, https://doi.org/10.1038/43185.Search in Google Scholar PubMed

6. Heni, M, Haupt, A, Schäfer, SA, Ketterer, C, Thamer, C, Machicao, F, et al.. Association of obesity risk SNPs in PCSK1 with insulin sensitivity and proinsulin conversion. BMC Med Genet 2010;11:86, https://doi.org/10.1186/1471-2350-11-86.Search in Google Scholar PubMed PubMed Central

7. Prabhu, Y, Blanco, EH, Liu, M, Peinado, JR, Wheeler, MC, Gekakis, N, et al.. Defective transport of the obesity mutant PC1/3 N222D contributes to loss of function. Endocrinology 2014;155:2391–401, https://doi.org/10.1210/en.2013-1985.Search in Google Scholar PubMed PubMed Central

8. Löffler, D, Behrendt, S, Creemers, JWM, Klammt, J, Aust, G, Stanik, J, et al.. Functional and clinical relevance of novel and known PCSK1 variants for childhood obesity and glucose metabolism. Mol Metab 2017;6:295–305, https://doi.org/10.1016/j.molmet.2016.12.002.Search in Google Scholar PubMed PubMed Central

9. Ramos-Molina, B, Martin, MG, Lindberg, I. PCSK1 variants and human obesity. Prog Mol Biol Transl Sci 2016;140:47–74, https://doi.org/10.1016/bs.pmbts.2015.12.001.Search in Google Scholar PubMed PubMed Central

10. Stijnen, P, Ramos-Molina, B, O’Rahilly, S, Creemers, JWM. PCSK1 mutations and human endocrinopathies: from obesity to gastrointestinal disorders. Endocr Rev 2016;37:347–71, https://doi.org/10.1210/er.2015-1117.Search in Google Scholar PubMed

11. Nead, KT, Li, A, Wehner, MR, Neupane, B, Gustafsson, S, Butterworth, A, et al.. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Hum Mol Genet 2015;24:3582–94, https://doi.org/10.1093/hmg/ddv097.Search in Google Scholar PubMed PubMed Central

12. Creemers, JWM, Choquet, H, Stijnen, P, Vatin, V, Pigeyre, M, Beckers, S, et al.. Heterozygous mutations causing partial prohormone convertase 1 deficiency contribute to human obesity. Diabetes 2012;61:383–90, https://doi.org/10.2337/db11-0305.Search in Google Scholar PubMed PubMed Central

13. Villalobos-Comparán, M, Villamil-Ramírez, H, Villarreal-Molina, T, Larrieta-Carrasco, E, León-Mimila, P, Romero-Hidalgo, S, et al.. PCSK1 rs6232 is associated with childhood and adult class III obesity in the Mexican population. PLoS One 2012;7:e39037, https://doi.org/10.1371/journal.pone.0039037.Search in Google Scholar PubMed PubMed Central

14. Choquet, H, Kasberger, J, Hamidovic, A, Jorgenson, E. Contribution of common PCSK1 genetic variants to obesity in 8,359 subjects from multi-ethnic American population. PLoS One 2013;8:e57857, https://doi.org/10.1371/journal.pone.0057857.Search in Google Scholar PubMed PubMed Central

15. Benzinou, M, Creemers, JWM, Choquet, H, Lobbens, S, Dina, C, Durand, E, et al.. Common nonsynonymous variants in PCSK1 confer risk of obesity. Nat Genet 2008;40:943–5, https://doi.org/10.1038/ng.177.Search in Google Scholar PubMed

16. Strawbridge, RJ, Dupuis, J, Prokopenko, I, Barker, A, Ahlqvist, E, Rybin, D, et al.. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes. Diabetes 2011;60:2624–34, https://doi.org/10.2337/db11-0415.Search in Google Scholar PubMed PubMed Central

17. Meier, DT, Rachid, L, Wiedemann, SJ, Traub, S, Trimigliozzi, K, Stawiski, M, et al.. Prohormone convertase 1/3 deficiency causes obesity due to impaired proinsulin processing. Nat Commun 2022;13:4761, https://doi.org/10.1038/s41467-022-32509-4.Search in Google Scholar PubMed PubMed Central

18. Martín, MG, Lindberg, I, Solorzano-Vargas, RS, Wang, J, Avitzur, Y, Bandsma, R, et al.. Congenital proprotein convertase 1/3 deficiency causes malabsorptive diarrhea and other endocrinopathies in a pediatric cohort. Gastroenterology 2013;145:138–48, https://doi.org/10.1053/j.gastro.2013.03.048.Search in Google Scholar PubMed PubMed Central

19. Farooqi, IS, Volders, K, Stanhope, R, Heuschkel, R, White, A, Lank, E, et al.. Hyperphagia and early-onset obesity due to a novel homozygous missense mutation in prohormone convertase 1/3. J Clin Endocrinol Metab 2007;92:3369–73, https://doi.org/10.1210/jc.2007-0687.Search in Google Scholar PubMed

20. Jackson, RS, Creemers, JWM, Farooqi, IS, Raffin-Sanson, ML, Varro, A, Dockray, GJ, et al.. Small-intestinal dysfunction accompanies the complex endocrinopathy of human proprotein convertase 1 deficiency. J Clin Invest 2003;112:1550–60, https://doi.org/10.1172/jci200318784.Search in Google Scholar

21. Wareham, NJ, Byrne, CD, Williams, R, Day, NE, Hales, CN. Fasting proinsulin concentrations predict the development of type 2 diabetes. Diabetes Care 1999;22:262–70, https://doi.org/10.2337/diacare.22.2.262.Search in Google Scholar PubMed

22. Martos-Moreno, GÁ, Martínez-Villanueva, J, González-Leal, R, Chowen, JA, Argente, J. Sex, puberty, and ethnicity have a strong influence on growth and metabolic comorbidities in children and adolescents with obesity: report on 1300 patients (the Madrid Cohort). Pediatr Obes 2019;14:e12565, https://doi.org/10.1111/ijpo.12565.Search in Google Scholar PubMed

23. Eyzaguirre, F, Mericq, V. Insulin resistance markers in children. Horm Res 2009;71:65–74, https://doi.org/10.1159/000183894.Search in Google Scholar PubMed

24. Hernández, M, Castellet, J, Narvaiza, JL, Rincón, JM, Ruiz, I, Sánchez, E, et al.. Instituto de Investigación sobre Crecimiento y Desarrollo. Fundación Faustino Orbegozo, 2nd ed. Madrid: Editorial Garsi; 1988.Search in Google Scholar

25. Folon, L, Baron, M, Toussaint, B, Vaillant, E, Boissel, M, Scherrer, V, et al.. Contribution of heterozygous PCSK1 variants to obesity and implications for precision medicine: a case-control study. Lancet Diabetes Endocrinol 2023;11:182–90, https://doi.org/10.1016/s2213-8587(22)00392-8.Search in Google Scholar PubMed

26. Willer, CJ, Speliotes, EK, Loos, RJF, Li, S, Lindgren, CM, Heid, IM, et al.. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 2009;41:25–34, https://doi.org/10.1038/ng.287.Search in Google Scholar PubMed PubMed Central

27. Qi, Q, Li, H, Loos, RJF, Liu, C, Hu, FB, Wu, H, et al.. Association of PCSK1 rs6234 with obesity and related traits in a Chinese han population. PLoS One 2010;5:e10590, https://doi.org/10.1371/journal.pone.0010590.Search in Google Scholar PubMed PubMed Central

28. Rouskas, K, Kouvatsi, A, Paletas, K, Papazoglou, D, Tsapas, A, Lobbens, S, et al.. Common variants in FTO, MC4R, TMEM18, PRL, AIF1, and PCSK1 show evidence of association with adult obesity in the Greek population. Obesity 2012;20:389–95, https://doi.org/10.1038/oby.2011.177.Search in Google Scholar PubMed

29. Meyre, D, Delplanque, J, Chèvre, JC, Lecoeur, C, Lobbens, S, Gallina, S, et al.. Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. Nat Genet 2009;41:157–9, https://doi.org/10.1038/ng.301.Search in Google Scholar PubMed

30. Bandsma, RHJ, Sokollik, C, Chami, R, Cutz, E, Brubaker, PL, Hamilton, JK, et al.. From diarrhea to obesity in prohormone convertase 1/3 deficiency: age-dependent clinical, pathologic, and enteroendocrine characteristics. J Clin Gastroenterol 2013;47:834, https://doi.org/10.1097/mcg.0b013e3182a89fc8.Search in Google Scholar PubMed PubMed Central

31. Wilschanski, M, Abbasi, M, Blanco, E, Lindberg, I, Yourshaw, M, Zangen, D, et al.. A novel familial mutation in the PCSK1 gene that alters the oxyanion hole residue of proprotein convertase 1/3 and impairs its enzymatic activity. PLoS One 2014;9:e108878, https://doi.org/10.1371/journal.pone.0108878.Search in Google Scholar PubMed PubMed Central

32. O’Rahilly, S, Gray, H, Humphreys, PJ, Krook, A, Polonsky, KS, White, A, et al.. Impaired processing of prohormones associated with abnormalities of glucose homeostasis and adrenal function. N Engl J Med 1995;333:1386–91, https://doi.org/10.1056/nejm199511233332104.Search in Google Scholar PubMed

33. Pfützner, A, Kann, PH, Pfützner, AH, Kunt, T, Larbig, M, Weber, MM, et al.. Intact and total proinsulin: new aspects for diagnosis and treatment of type 2 diabetes mellitus and insulin resistance. Clin Lab 2004;50:567–73.10.1089/152091504774198124Search in Google Scholar PubMed

34. Fujinami, A, Ohta, K, Obayashi, H, Fukui, M, Hasegawa, G, Nakamura, N, et al.. Serum brain-derived neurotrophic factor in patients with type 2 diabetes mellitus: relationship to glucose metabolism and biomarkers of insulin resistance. Clin Biochem 2008;41:812–7, https://doi.org/10.1016/j.clinbiochem.2008.03.003.Search in Google Scholar PubMed

35. Reaven, GM. Banting lecture 1988. Role of insulin resistance in human disease. Diabetes 1988;37:1595–607, https://doi.org/10.2337/diabetes.37.12.1595.Search in Google Scholar

Received: 2023-08-31
Accepted: 2023-10-09
Published Online: 2023-10-26
Published in Print: 2023-12-15

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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