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The interleukins IL-6 and IL-1Ra: a mediating role in the associations between BMI and birth weight?

Published online by Cambridge University Press:  21 July 2010

C. M. Friis*
Affiliation:
Division of Obstetrics and Gynaecology, Oslo University Hospital, Oslo, Norway Division of Obstetrics and Gynaecology, National Resource Centre for Women’s Health, Oslo University Hospital Rikshospitalet, Oslo, Norway
K. F. Frøslie
Affiliation:
Division of Obstetrics and Gynaecology, National Resource Centre for Women’s Health, Oslo University Hospital Rikshospitalet, Oslo, Norway Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
J. Røislien
Affiliation:
Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
N. Voldner
Affiliation:
Division of Obstetrics and Gynaecology, Oslo University Hospital, Oslo, Norway
K. Godang
Affiliation:
Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital Rikshospitalet, Oslo, Norway
T. Ueland
Affiliation:
Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital Rikshospitalet, Oslo, Norway Research Institute for Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway
J. Bollerslev
Affiliation:
Section of Specialized Endocrinology, Department of Endocrinology, Oslo University Hospital Rikshospitalet, Oslo, Norway Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
M. B. Veierød
Affiliation:
Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
T. Henriksen
Affiliation:
Division of Obstetrics and Gynaecology, Oslo University Hospital, Oslo, Norway Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
*
*Address for correspondence: C. M. Friis, Division of Obstetrics and Gynaecology, National Resource Centre for Women’s Health, Oslo University Hospital Rikshospitalet, Oslo, Norway. (Email [email protected])

Abstract

The biological mechanisms in the association between maternal body mass index (BMI) and birth weight are not well understood, but are likely to involve maternal plasma glucose levels and nutrient transport across the placenta, both important modulators of fetal growth. Adipose tissue contributes to circulating levels of interleukins that may affect glucose metabolism and possibly also placental transport of nutrients. We investigated possible mediating roles of Interleukin 6 (IL-6) and Interleukin 1 Receptor antagonist (IL-1Ra) in 208 pregnant women. Known and hypothesized dependencies between BMI in early pregnancy and fasting glucose, IL-1Ra and IL-6 at gestational weeks 30–32, and birth weight were specified in a path diagram. Standardized regression coefficients, expressing direct, indirect and total effects, were estimated by Bayesian path analysis. Mean (s.d.) BMI was 24.9 kg/m2 (4.2) and mean (s.d.) birth weight 3748 g (454). The total effect of BMI on birth weight was 0.24 (95% credibility interval (CrI) [0.12, 0.36]). The direct effect of IL-1Ra on birth weight was not statistically significant, but significant effects of BMI on IL-1Ra (0.61, 95% CrI [0.51, 0.72]), of IL-1Ra on fasting glucose (0.17, 95% CrI [0.01, 0.34]) and of fasting glucose on birth weight (0.14, 95% CrI [0.01, 0.27]) implied an indirect pathway from BMI via IL-1Ra on birth weight. Approximately 20% of the effect of BMI on birth weight was mediated through IL-1Ra. For IL-6, no such effects were found. Our results indicate that IL-1Ra may be a mediator in the association between BMI and birth weight.

Type
Original Articles
Copyright
Copyright © Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2010

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Footnotes

Joint first authors

References

1. Ehrenberg, HM, Mercer, BM, Catalano, PM. The influence of obesity and diabetes on the prevalence of macrosomia. Am J Obstet Gynecol. 2004; 191, 964968.CrossRefGoogle ScholarPubMed
2. Mesman, I, Roseboom, TJ, Bonsel, GJ, et al. Maternal pre-pregnancy body mass index explains infant’s weight and BMI at 14 months: results from a multi-ethnic birth cohort study. Arch Dis Child. 2009; 94, 587595.CrossRefGoogle ScholarPubMed
3. Catalano, PM, Drago, NM, Amini, SB. Factors affecting fetal growth and body composition. Am J Obstet Gynecol. 1995; 172, 14591463.CrossRefGoogle ScholarPubMed
4. Catalano, PM, Kirwan, JP. Maternal factors that determine neonatal size and body fat. Curr Diab Rep. 2001; 1, 7177.CrossRefGoogle ScholarPubMed
5. Jansson, N, Nilsfelt, A, Gellerstedt, M, et al. Maternal hormones linking maternal body mass index and dietary intake to birth weight. Am J Clin Nutr. 2008; 87, 17431749.CrossRefGoogle ScholarPubMed
6. Fleten, C, Stigum, H, Magnus, P, Nystad, W. Exercise during pregnancy, maternal prepregnancy body mass index, and birth weight. Obstet Gynecol. 2010; 115, 331337.CrossRefGoogle ScholarPubMed
7. Armitage, JA, Poston, L, Taylor, PD. Developmental origins of obesity and the metabolic syndrome: the role of maternal obesity. Front Horm Res. 2008; 36, 7384.CrossRefGoogle ScholarPubMed
8. King, JC. Maternal obesity, metabolism, and pregnancy outcomes. Annu Rev Nutr. 2006; 26, 271291.CrossRefGoogle ScholarPubMed
9. HAPO Study Cooperative Research Group. Hyperglycaemia and Adverse Pregnancy Outcome (HAPO) Study: associations with maternal body mass index. BJOG. 2010; 117, 575584.CrossRefGoogle Scholar
10. Sacks, DA, Liu, AI, Wolde-Tsadik, G, et al. What proportion of birth weight is attributable to maternal glucose among infants of diabetic women? Am J Obstet Gynecol. 2006; 194, 501507.CrossRefGoogle ScholarPubMed
11. Owens, LA, O’Sullivan, EP, Kirwan, B, et al. ATLANTIC DIP: the impact of obesity on pregnancy outcome in glucose tolerant women. Diabetes Care. 2010; 33, 577579.CrossRefGoogle ScholarPubMed
12. Jensen, DM, Damm, P, Sorensen, B, et al. Pregnancy outcome and prepregnancy body mass index in 2459 glucose-tolerant Danish women. Am J Obstet Gynecol. 2003; 189, 239244.CrossRefGoogle ScholarPubMed
13. Cai, D, Yuan, M, Frantz, DF, et al. Local and systemic insulin resistance resulting from hepatic activation of IKK-beta and NF-kappaB. Nat Med. 2005; 11, 183190.CrossRefGoogle ScholarPubMed
14. Meier, CA, Bobbioni, E, Gabay, C, et al. IL-1 receptor antagonist serum levels are increased in human obesity: a possible link to the resistance to leptin? J Clin Endocrinol Metab. 2002; 87, 11841188.CrossRefGoogle Scholar
15. Bastard, JP, Maachi, M, Lagathu, C, et al. Recent advances in the relationship between obesity, inflammation, and insulin resistance. Eur Cytokine Netw. 2006; 17, 412.Google ScholarPubMed
16. McIntyre, HD, Chang, AM, Callaway, LK, et al. Hormonal and metabolic factors associated with variations in insulin sensitivity in human pregnancy. Diabetes Care. 2009.Google ScholarPubMed
17. Challier, JC, Basu, S, Bintein, T, et al. Obesity in pregnancy stimulates macrophage accumulation and inflammation in the placenta. Placenta. 2008; 29, 274281.CrossRefGoogle ScholarPubMed
18. Lash, GE, Ansari, T, Bischof, P, et al. IFPA meeting 2008 workshops report. Placenta. 2009; 30(Suppl A), S4S14.CrossRefGoogle ScholarPubMed
19. Madan, JC, Davis, JM, Craig, WY, et al. Maternal obesity and markers of inflammation in pregnancy. Cytokine. 2009; 47, 6164.CrossRefGoogle ScholarPubMed
20. Armitage, P, Colton, T. Encyclopedia of biostatistics. In Path Analysis (ed. Bollen KA), Vol. 4. 1998; pp. 32803284. John Wiley & Sons Ltd, West Sussex, England.Google Scholar
21. Voldner, N, Froslie, KF, Bo, K, et al. Modifiable determinants of fetal macrosomia: role of lifestyle-related factors. Acta Obstet Gynecol Scand. 2008; 87, 423429.CrossRefGoogle ScholarPubMed
22. Sitras, V, Paulssen, R, Leirvik, J, Vartun, A, Acharya, G. Placental gene expression profile in intrauterine growth restriction due to placental insufficiency. Reprod Sci. 2009; 16, 701711.CrossRefGoogle ScholarPubMed
23. Ogge, G, Romero, R, Chaiworapongsa, T, et al. Leukocytes of pregnant women with small-for-gestational age neonates have a different phenotypic and metabolic activity from those of women with preeclampsia. J Matern Fetal Neonatal Med. 2009.Google Scholar
24. Wu, TL, Tsao, KC, Chang, CP, et al. Development of ELISA on microplate for serum C-reactive protein and establishment of age-dependent normal reference range. Clin Chim Acta. 2002; 322, 163168.CrossRefGoogle ScholarPubMed
25. Shine, B, de Beer, FC, Pepys, MB. Solid phase radioimmunoassays for human C-reactive protein. Clin Chim Acta. 1981; 117, 1323.CrossRefGoogle ScholarPubMed
26. Belo, L, Santos-Silva, A, Rocha, S, et al. Fluctuations in C-reactive protein concentration and neutrophil activation during normal human pregnancy. Eur J Obstet Gynecol Reprod Biol. 2005; 123, 4651.CrossRefGoogle ScholarPubMed
27. Hastie, T, Tibshirani, R, Friedman, J. The Elements of Statistical Learning. Data Mining, Inference, and Prediction, 2001. Springer Series in Statistics, Canada.Google Scholar
28. Ntzoufras, I. Bayesian Modeling Using WinBUGS, 2009. Wiley, New Jersey.CrossRefGoogle Scholar
29. Sturtz, S, Ligges, U, Gelman, A. R2WinBUGS: a package for running WinBUGS from R. J Stat Softw. 2005; 12, 116.CrossRefGoogle Scholar
30. Lunn, DJ, Thomas, A, Best, N, Spiegelhalter, D. WinBUGS – a Bayesian modelling framework: concepts, structure, and extensibility. Stat Comput. 2000; 10, 325337.CrossRefGoogle Scholar
31. Spiegelhalter, DJ, Best, NG, Carlin, BR, van der Linde, A. Bayesian measures of model complexity and fit. J R Stat Soc Series B-Stat Methodol. 2002; 64, 583616.CrossRefGoogle Scholar
32. Fields, SJ, Livshits, G, Sirotta, L, Merlob, P. Path analysis of risk factors leading to premature birth. Am J Hum Biol. 1996; 8, 433443.3.0.CO;2-Z>CrossRefGoogle ScholarPubMed
33. Sulkes, J, Fields, S, Gabbay, U, Hod, M, Merlob, P. Path analysis on the risk of mortality in very low birth weight infants. Eur J Epidemiol. 2000; 16, 337341.CrossRefGoogle ScholarPubMed
34. Gamborg, M, Andersen, PK, Baker, JL, et al. Life course path analysis of birth weight, childhood growth, and adult systolic blood pressure. Am J Epidemiol. 2009; 169, 11671178.CrossRefGoogle ScholarPubMed
35. Factor-Litvak, P, Sher, A. Invited commentary: coming out of the box. Am J Epidemiol. 2009; 169, 11791181.CrossRefGoogle ScholarPubMed
36. Clausen, T, Burski, TK, Oyen, N, et al. Maternal anthropometric and metabolic factors in the first half of pregnancy and risk of neonatal macrosomia in term pregnancies. A prospective study. Eur J Endocrinol. 2005; J, 887894.CrossRefGoogle Scholar
37. Ben-Haroush, A, Hadar, E, Chen, R, Hod, M, Yogev, Y. Maternal obesity is a major risk factor for large-for-gestational-infants in pregnancies complicated by gestational diabetes. Arch Gynecol Obstet. 2009; 279, 539543.CrossRefGoogle Scholar
38. Jensen, DM, Damm, P, Sorensen, B, et al. Clinical impact of mild carbohydrate intolerance in pregnancy: a study of 2904 nondiabetic Danish women with risk factors for gestational diabetes mellitus. Am J Obstet Gynecol. 2001; 185, 413419.CrossRefGoogle ScholarPubMed
39. Das, UN. Is obesity an inflammatory condition? Nutrition. 2001; 17, 953966.CrossRefGoogle ScholarPubMed
40. Ramsay, JE, Ferrell, WR, Crawford, L, et al. Maternal obesity is associated with dysregulation of metabolic, vascular, and inflammatory pathways. J Clin Endocrinol Metab. 2002; 87, 42314237.CrossRefGoogle ScholarPubMed
41. Stewart, FM, Freeman, DJ, Ramsay, JE, et al. Longitudinal assessment of maternal endothelial function and markers of inflammation and placental function throughout pregnancy in lean and obese mothers. J Clin Endocrinol Metab. 2007; 92, 969975.CrossRefGoogle Scholar
42. Retnakaran, R, Hanley, AJ, Raif, N, et al. C-reactive protein and gestational diabetes: the central role of maternal obesity. J Clin Endocrinol Metab. 2003; 88, 35073512.CrossRefGoogle ScholarPubMed
43. Lee, DE, Kehlenbrink, S, Lee, H, Hawkins, M, Yudkin, JS. Getting the message across: mechanisms of physiological cross talk by adipose tissue. Am J Physiol – Endocrinol Metab. 2009; 296, E1210E1229.CrossRefGoogle ScholarPubMed
44. Fattori, E, Cappelletti, M, Costa, P, et al. Defective inflammatory response in interleukin 6-deficient mice. J Exp Med. 1994; 180, 12431250.CrossRefGoogle ScholarPubMed
45. Gabay, C, Kushner, I. Acute-phase proteins and other systemic responses to inflammation. N Engl J Med. 1999; 340, 448454.CrossRefGoogle ScholarPubMed
46. Feve, B, Bastard, JP. The role of interleukins in insulin resistance and type 2 diabetes mellitus. Nat Rev Endocrinol. 2009; 5, 305311.CrossRefGoogle ScholarPubMed
47. Saltevo, J, Laakso, M, Jokelainen, J, et al. Levels of adiponectin, C-reactive protein and interleukin-1 receptor antagonist are associated with insulin sensitivity: a population-based study. Diabetes Metab Res Rev. 2008; 24, 378383.CrossRefGoogle ScholarPubMed
48. Somm, E, Cettour-Rose, P, Asensio, C, et al. Interleukin-1 receptor antagonist is upregulated during diet-induced obesity and regulates insulin sensitivity in rodents. Diabetologia. 2006; 49, 387393.CrossRefGoogle ScholarPubMed
49. Hauguel-de, MS, Guerre-Millo, M. The placenta cytokine network and inflammatory signals. Placenta. 2005.Google Scholar
50. Juge-Aubry, CE, Somm, E, Giusti, V, et al. Adipose tissue is a major source of interleukin-1 receptor antagonist: upregulation in obesity and inflammation. Diabetes. 2003; 52, 11041110.CrossRefGoogle Scholar
51. Aaltonen, R, Heikkinen, T, Hakala, K, Laine, K, Alanen, A. Transfer of proinflammatory cytokines across term placenta. Obstet Gynecol. 2005; 106, 802807.CrossRefGoogle ScholarPubMed
52. Catalano, PM, Presley, L, Minium, J, Hauguel-de, MS. Fetuses of obese mothers develop insulin resistance in utero. Diabetes Care. 2009; 32, 10761080.CrossRefGoogle ScholarPubMed
53. Nuamah, MA, Yura, S, Sagawa, N, et al. Significant increase in maternal plasma leptin concentration in induced delivery: a possible contribution of pro-inflammatory cytokines to placental leptin secretion. Endocr J. 2004; 51, 177187.CrossRefGoogle ScholarPubMed
54. Dahlgren, J, Nilsson, C, Jennische, E, et al. Prenatal cytokine exposure results in obesity and gender-specific programming. Am J Physiol Endocrinol Metab. 2001; 281, E326E334.CrossRefGoogle ScholarPubMed
55. Radaelli, T, Uvena-Celebrezze, J, Minium, J, et al. Maternal interleukin-6: marker of fetal growth and adiposity. J Soc Gynecol Investig. 2006; 13, 5357.CrossRefGoogle ScholarPubMed
56. Juge-Aubry, CE, Somm, E, Chicheportiche, R, et al. Regulatory effects of interleukin (IL)-1, interferon-beta, and IL-4 on the production of IL-1 receptor antagonist by human adipose tissue. J Clin Endocrinol Metab. 2004; 89, 26522658.CrossRefGoogle ScholarPubMed
57. Wong, E, Freiberg, M, Tracy, R, Kuller, L. Epidemiology of cytokines: the Women On the Move through Activity and Nutrition (WOMAN) Study. Am J Epidemiol. 2008; 168, 443453.CrossRefGoogle ScholarPubMed
58. Yasui, T, Uemura, H, Yamada, M, et al. Associations of interleukin-6 with interleukin-1beta, interleukin-8 and macrophage inflammatory protein-1beta in midlife women. Cytokine. 2008; 41, 302306.CrossRefGoogle ScholarPubMed
59. Schaefer-Graf, UM, Graf, K, Kulbacka, I, et al. Maternal lipids as strong determinants of fetal environment and growth in pregnancies with gestational diabetes mellitus. Diabetes Care. 2008; 31, 18581863.CrossRefGoogle ScholarPubMed
60. Sewell, MF, Huston-Presley, L, Amini, SB, Catalano, PM. Body mass index: a true indicator of body fat in obese gravidas. J Reprod Med. 2007; 52, 907911.Google ScholarPubMed
61. Congdon, P. Applied Bayesian Modelling, 2003. Wiley, England.CrossRefGoogle Scholar
62. Curry, AE, Vogel, I, Skogstrand, K, et al. Maternal plasma cytokines in early- and mid-gestation of normal human pregnancy and their association with maternal factors. J Reprod Immunol. 2008; 77, 152160.CrossRefGoogle ScholarPubMed
63. Voldner, N . Modifiable determinants of newborn macrosomia and birth complications. Dissertation for the Degree of PhD 2010. Faculty of Medicine, University of Oslo.Google Scholar
64. Fewell, Z, Davey, SG, Sterne, JA. The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study. Am J Epidemiol. 2007; 166, 646655.CrossRefGoogle ScholarPubMed
65. Delbaere, I, Vansteelandt, S, De Bacquer, D, et al. Should we adjust for gestational age when analysing birth weights? The use of z-scores revisited. Hum Reprod. 2007; 22, 20802083.CrossRefGoogle ScholarPubMed
66. Hernan, MA, Hernandez-Diaz, S, Werler, MM, Mitchell, AA. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol. 2002; 155, 176184.CrossRefGoogle ScholarPubMed
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