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Clinical Research

Impact of obesity on angiogenic and inflammatory markers in the Finnish Genetics of Pre-eclampsia Consortium (FINNPEC) cohort

Abstract

Background

While several studies have demonstrated that obesity increases the risk of pre-eclampsia (PE), the mechanisms have yet to be elucidated. We assessed the association between maternal/paternal obesity and PE and hypothesized that maternal body mass index (BMI) would be associated with an adverse inflammatory and angiogenic profile. High-sensitivity C-reactive protein (hs-CRP) and following serum angiogenic markers were determined: soluble endoglin (sEng), soluble fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF).

Methods

Data on BMI were available from 1450 pregnant women with PE and 1065 without PE. Serum concentrations of hs-CRP and angiogenic markers were available from a subset at first and third trimesters.

Results

Prepregnancy BMI was higher in the PE group than in controls (mean ± SD) 25.3 ± 5.2 vs. 24.1 ± 4,4, p < 0.001, adjusted for parity, mother’s age, and smoking status before pregnancy. Increased hs-CRP concentrations were observed in both PE and non-PE women similarly according to BMI category. In women with PE, a higher BMI was associated with lower sFlt-1 and sEng concentrations throughout the pregnancy (p = 0.004, p = 0.008, respectively). There were no differences in PlGF in PE women according to BMI.

Conclusions

We confirmed increased pre-pregnancy BMI in women with PE. Enhanced inflammatory state was confirmed in all women with overweight/obesity. Partly paradoxically we observed that PE women with obesity had less disturbed levels of angiogenic markers than normal weight women with PE. This should be taken into account when angiogenic markers are used in PE prediction.

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References

  1. World Obesity Federation: Numbers of females of reproductive age either overweight or obese by region. Available at http://www.worldobesity.org/resources/obesity-data-repository/resources/charts/21/

  2. National Institute for Health and Welfare. Official statistics of Finland, statistical report 16/2016, 10 October 2016. Perinatal statistics-parturients, deliveries and newborns 2015. Helsinki, 2016.

  3. Godfrey KM, Reynolds RM, Prescott SL, Nyirenda M, Jaddoe VW, Eriksson JG, et al. Influence of maternal obesity on the long-term health of offspring. Lancet Diabetes Endocrinol. 2017;5:53–64.

    Article  Google Scholar 

  4. Schummers L, Hutcheon J, Bodnar L, Lieberman E, Himes K. Risk of adverse pregnancy outcomes by prepregnancy body mass index: a population-based study to inform prepregnancy weight loss counseling. Obstet Gynecol. 2015;125:133–43.

    Article  Google Scholar 

  5. Bodnar LM, Catov JM, Klebanoff MA, Ness RB, Roberts JM. Prepregnancy body mass index and the occurrence of severe hypertensive disorders of pregnancy. Epidemiology. 2007;18:234–9.

    Article  Google Scholar 

  6. Torloni M, Betrán A, Horta B, Nakamura M, Atallah A, Moron A, et al. Prepregnancy BMI and the risk of gestational diabetes: a systematic review of the literature with meta-analysis. Obes Rev. 2009;10:194–203.

    Article  CAS  Google Scholar 

  7. Wang Z, Wang P, Liu H, He X, Zhang J, Yan H, et al. Maternal adiposity as an independent risk factor for pre-eclampsia: a meta-analysis of prospective cohort studies. Obes Rev. 2013;14:508–21.

    Article  CAS  Google Scholar 

  8. Myklestad K, Vatten LJ, Salvesen KÅ, Davey Smith G, Romundstad PR. Hypertensive disorders in pregnancy and paternal cardiovascular risk: a population-based study. Ann Epidemiol. 2011;21:407–12.

    Article  Google Scholar 

  9. ACOG Committee on Practice Bulletins—Obstetrics. ACOG practice bulletin. Diagnosis and management of preeclampsia and eclampsia. Obstet Gynecol. 2002;99:159–67.

    Article  Google Scholar 

  10. American College of Obstetricians and Gynecologists; Task Force on Hypertension in Pregnancy. Hypertension in pregnancy. Report of the American College of Obstetricians and Gynecologists’ Task Force on Hypertension in Pregnancy. Obstet Gynecol. 2013;122:1122–31.

    Article  Google Scholar 

  11. Tranquilli AL, Dekker G, Magee L, Roberts J, Sibai BM, Steyn W, et al. The classification, diagnosis and management of the hypertensive disorders of pregnancy: a revised statement from the ISSHP. Pregnancy Hypertens. 2014;4:97–104.

    Article  CAS  Google Scholar 

  12. Ramsay JE, Ferrell WR, Crawford L, Wallace AM, Greer IA, Sattar N. Maternal obesity is associated with dysregulation of metabolic, vascular, and inflammatory pathways. J Clin Endocrinol Metab. 2002;87:4231–7.

    Article  CAS  Google Scholar 

  13. Jarvie E, Hauguel-de-Mouzon S, Nelson SM, Sattar N, Catalano PM, Freeman DJ. Lipotoxicity in obese pregnancy and its potential role in adverse pregnancy outcome and obesity in the offspring. Clin Sci. 2010;119:123–9.

    Article  CAS  Google Scholar 

  14. Harmon AC, Cornelius DC, Amaral LM, Faulkner JL, Cunningham MW Jr, Wallace K, et al. The role of inflammation in the pathology of preeclampsia. Clin Sci. 2016;130:409–19.

    Article  CAS  Google Scholar 

  15. Redman CWG, Sacks GP, Sargnt IL. Preeclampsia: an excessive maternal inflammatory response to pregnancy. Am J Obstet Gynecol. 1999;180:499–506.

    Article  CAS  Google Scholar 

  16. Walsh SW. Obesity: a risk factor for preeclampsia. Trends Endocrinol Metab. 2007;18:365–70.

    Article  CAS  Google Scholar 

  17. Choe SS, Huh JY, Hwang IJ, Kim JI, Kim JB. Adipose tissue remodeling: its role in energy metabolism and metabolic disorders. Front Endocrinol. 2016;7:30.

    Article  Google Scholar 

  18. Spencer M, Unal R, Zhu B, Rasouli N, McGehee RE Jr, Peterson CA, et al. Adipose tissue extracellular matrix and vascular abnormalities in obesity and insulin resistance. J Clin Endocrinol Metab. 2011;96:E1990–8.

    Article  CAS  Google Scholar 

  19. Jääskeläinen T, Heinonen S, Kajantie E, Kere J, Kivinen K, Pouta A, et al. Cohort profile: the Finnish Genetics of Pre-eclampsia Consortium (FINNPEC). BMJ Open. 2016;6:e013148.

    Article  Google Scholar 

  20. National Institute for Health and Care Excellence (NICE). PlGF-based testing to help diagnose suspected pre-eclampsia (Triage PlGF test, Elecsys immunoassay sFlt-1/PlGF ratio, DELFIA Xpress PlGF 1-2-3 test, and BRAHMS sFlt-1 Kryptor/BRAHMS PlGF plus Kryptor PE ratio): NICE diagnostics guidance [DG23]. 2016 https://www.nice.org.uk/guidance/dg23

  21. Zeisler H, Llurba E, Chantraine F, Vatish M, Staff AC, Sennström M, et al. Predictive value of the sFlt-1:PlGF ratio in women with suspected preeclampsia. N Engl J Med. 2016;374:13–22.

    Article  CAS  Google Scholar 

  22. Rana S, Schnettler WT, Powe C, Wenger J, Salahuddin S, Cerdeira AS, et al. Clinical characterization and outcomes of preeclampsia with normal angiogenic profile. Hypertens Pregnancy. 2013;32:189–201.

    Article  CAS  Google Scholar 

  23. Bodnar LM, Ness RB, Markovic N, Roberts JM. The risk of preeclampsia rises with increasing prepregnancy body mass index. Ann Epidemiol. 2005;5:475–82.

    Article  Google Scholar 

  24. Jeyabalan A. Epidemiology of preeclampsia: impact of obesity. Nutr Rev. 2013;71(Suppl 1):S18–25.

    Article  Google Scholar 

  25. Magann EF, Doherty DA, Chauhan SP, Klimpel JM, Huff SD, Morrison JC. Pregnancy, obesity, gestational weight gain, and parity as predictors of peripartum complications. Arch Gynecol Obstet. 2011;284:827–36.

    Article  Google Scholar 

  26. Davis EM, Babineau DC, Wang X, Zyzanski S, Abrams B, Bodnar LM, et al. Short inter-pregnancy intervals, parity, excessive pregnancy weight gain and risk of maternal obesity. Matern Child Health J. 2014;18:554–62.

    Article  Google Scholar 

  27. Callaway LK, McIntyre HD, O’Callaghan M, Williams GM, Najman JM, Lawlor DA. The association of hypertensive disorders of pregnancy with weight gain over the subsequent 21 years: findings from a prospective cohort study. Am J Epidemiol. 2007;166:421–8.

    Article  Google Scholar 

  28. Frederick IO, Rudra CB, Miller RS, Foster JC, Williams MA. Adult weight change, weight cycling, and prepregnancy obesity in relation to risk of preeclampsia. Epidemiology. 2006;17:428–34.

    Article  Google Scholar 

  29. Hauth JC, Clifton RG, Roberts JM, Myatt L, Spong CY, Leveno KJ, et al. Maternal insulin resistance and preeclampsia. Am J Obstet Gynecol. 2011;204:e1–6.

    Article  Google Scholar 

  30. Dempsey JC, Williams MA, Luthy DA, Emanuel I, Shy K. Weight at birth and subsequent risk of preeclampsia as an adult. Am J Obstet Gynecol. 2003;189:494–500.

    Article  Google Scholar 

  31. á Rogvi R, Forman JL, Damm P, Greisen G. Women born preterm or with inappropriate weight for gestational age are at risk of subsequent gestational diabetes and pre-eclampsia. PLoS ONE. 2012;7:e34001.

    Article  CAS  Google Scholar 

  32. McCowan LM, North RA, Kho EM, Black MA, Chan EH, Dekker GA, et al. Paternal contribution to small for gestational age babies: a multicenter prospective study. Obes (Silver Spring). 2011;19:1035–9.

    Article  Google Scholar 

  33. Spradley FT, Palei AC, Granger JP. Immune mechanisms linking obesity and preeclampsia. Biomolecules. 2015;5:3142–76.

    Article  CAS  Google Scholar 

  34. Zera CA, Seely EW, Wilkins-Haug LE, Lim KH, Parry SI, McElrath TF. The association of body mass index with serum angiogenic markers in normal and abnormal pregnancies. Am J Obstet Gynecol. 2014;211:e1–7.

    Article  CAS  Google Scholar 

  35. Suwaki N, Masuyama H, Nakatsukasa H, Masumoto A, Sumida Y, Takamoto N, et al. Hypoadiponectinemia and circulating angiogenic factors in overweight patients complicated with pre-eclampsia. Am J Obstet Gynecol. 2006;195:1687–92.

    Article  CAS  Google Scholar 

  36. Mijal RS, Holzman CB, Rana S, Karumanchi SA, Wang J, Sikorskii A. Midpregnancy levels of angiogenic markers in relation to maternal characteristics. Am J Obstet Gynecol. 2011;204: 244.e1–12.

    Article  CAS  Google Scholar 

  37. Faupel-Badger JM, Staff AC, Thadhani R, Powe CE, Potischman N, Hoover RN, et al. Maternal angiogenic profile in pregnancies that remain normotensive. Eur J Obstet Gynecol Reprod Biol. 2011;158:189–93.

    Article  CAS  Google Scholar 

  38. Straughen JK, Misra DP, Kumar P, Misra VK. The influence of overweight and obesity on maternal soluble fms-like tyrosine kinase 1 and its relationship with leptin during pregnancy. Reprod Sci. 2013;20:269–75.

    Article  CAS  Google Scholar 

  39. Vieira MC, Poston L, Fyfe E, Gillett A, Kenny LC, Roberts CT, et al. Clinical and biochemical factors associated with preeclampsia in women with. Obes Obes. 2017;25:460–7.

    CAS  Google Scholar 

  40. Lynch AM, Murphy JR, Gibbs RS, Levine RJ, Giclas PC, Salmon JE, et al. The interrelationship of complement-activation fragments and angiogenesis-related factors in early pregnancy and their association with pre-eclampsia. BJOG. 2010;117:456–62.

    Article  CAS  Google Scholar 

  41. Lappas M. Markers of endothelial cell dysfunction are increased in human omental adipose tissue from women with pre-existing maternal obesity and gestational diabetes. Metabolism. 2014;63:860–73.

    Article  CAS  Google Scholar 

  42. Jia G, Martinez-Lemus LA, Sowers JR. Interaction of adipogenesis and angiogenesis in dietary-induced obesity. Diabetes. 2015;64:2326–8.

    Article  CAS  Google Scholar 

  43. Lee DK, Nevo O. Microvascular endothelial cells from preeclamptic women exhibit altered expression of angiogenic and vasopressor factors. Am J Physiol Heart Circ Physiol. 2016;310:H1834–41.

    Article  Google Scholar 

  44. Herse F, Fain JN, Janke J, Engeli S, Kuhn C, Frey N, et al. Adipose tissue-derived soluble fms-like tyrosine kinase 1 is an obesity-relevant endogenous paracrine adipokine. Hypertension. 2011;58:37–42.

    Article  CAS  Google Scholar 

  45. Huda SS, Jordan F, Bray J, Love G, Payne R, Sattar N, et al. Visceral adipose tissue activated macrophage content and inflammatory adipokine secretion is higher in pre-eclampsia than in healthy pregnancys. Clin Sci. 2017;131:1529–40.

    Article  CAS  Google Scholar 

  46. Tjoa ML, Van Vugt JMG, Go AT, Blankenstein MA, Oudejans CBM, Van Wijk IJ. Elevated C-reactive protein levels during first trimester of pregnancy are indicative of preeclampsia and intrauterine growth restriction. J Reprod Immunol. 2003;59:29–37.

    Article  CAS  Google Scholar 

  47. Qiu C, Luthy DA, Zhang C, Walsh SW, Leisenring WM, Williams MA. A prospective study of maternal serum C-reactive protein concentrations and risk of preeclampsia. Am J Hypertens. 2004;17:154–60.

    Article  CAS  Google Scholar 

  48. Hwang HS, Kwon JY, Kim MA, Park YW, Kim YH. Maternal serum highly sensitive C-reactive protein in normal pregnancy and pre-eclampsia. Int J Gynaecol Obstet. 2007;98:105–9.

    Article  CAS  Google Scholar 

  49. Savvidou MD, Lees CC, Parra M, Hingorani AD, Nicolaides KH. Levels of C-reactive protein in pregnant women who subsequently develop pre-eclampsia. Br J Obstet Gynaecol. 2002;109:297–301.

    Article  CAS  Google Scholar 

  50. Von Versen-Hoeynck FM, Hubel CA, Gallaher MJ, Gammill HS, Powers RW. Plasma levels of inflammatory markers neopterin sialic acid and C-reactive protein in pregnancy and pre-eclampsia. Am J Hypertens. 2009;22:687–92.

    Article  CAS  Google Scholar 

  51. Ertas IE, Kahyaoglu S, Yilmaz B, Ozel M, Sut N, Guven MA, et al. Association of maternal serum high sensitive C-reactive protein level with body mass index and severity of pre-eclampsia at third trimester. J Obstet Gynaecol Res. 2010;36:970–7.

    Article  CAS  Google Scholar 

  52. Malek A, Bersinger NA, Di Santo S, Mueller MD, Sager R, Schneider H, et al. C-reactive protein production in term human placental tissue. Placenta. 2006;27:619–25.

    Article  CAS  Google Scholar 

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Acknowledgements

We appreciate the expert technical assistance of Eija Kortelainen and Susanna Mehtälä and contribution of the members and assisting personnel of the FINNPEC Study Group.

Funding

Funding was received from the Competitive State Research Financing of the Expert Responsibility Area of Helsinki University Hospital, Jane and Aatos Erkko Foundation, Päivikki and Sakari Sohlberg Foundation, Academy of Finland (grants 121196, 134957, and 278941), Research Funds of the University of Helsinki, Finnish Medical Foundation, Finska Läkaresällskapet, Novo Nordisk Foundation, Finnish Foundation for Pediatric Research, Emil Aaltonen Foundation, and Sigrid Jusélius Foundation.

The FINNPEC core investigator group:

Hannele Laivuori2,7,8,9, Seppo Heinonen2, Eero Kajantie10,11,12, Juha Kere13,14,15, Katja Kivinen16, Anneli Pouta13,17

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Correspondence to Tiina Jääskeläinen.

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Jääskeläinen, T., Heinonen, S., Hämäläinen, E. et al. Impact of obesity on angiogenic and inflammatory markers in the Finnish Genetics of Pre-eclampsia Consortium (FINNPEC) cohort. Int J Obes 43, 1070–1081 (2019). https://doi.org/10.1038/s41366-018-0217-8

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