Skip to main content
Log in

Midregional proadrenomedullin and growth differentiation factor-15 are not influenced by obesity in heart failure patients

  • Original Paper
  • Published:
Clinical Research in Cardiology Aims and scope Submit manuscript

Abstract

Background

Obesity is a risk factor for heart failure (HF) and identification of symptomatic, and obese HF patients are challenging, because obesity can mimic HF symptoms. We aimed to evaluate novel biomarkers for HF in obese subjects of the general population.

Methods

Midregional proadrenomedullin (MR-proADM), growth differentiation factor-15 (GDF-15), midregional pro-atrial natriuretic peptide (MR-proANP), and NT-proBNP were measured in 5000 individuals of the population-based Gutenberg Health Study (GHS), including 1204 obese individuals (BMI ≥ 30 kg/m2) and 107 individuals with HF.

Results

NT-proBNP and MR-proANP were lower in obese vs. non-obese HF individuals (p = 0.013 and p = 0.01, respectively), whereas GDF-15 was similar and MR-proADM was higher in obese vs. non-obese HF individuals. All biomarkers increased the odds ratio (OR) for prevalent HF. For NT-proBNP and MR-proANP, this increase was lower in obese vs. non-obese individuals, whereas it was comparable for MR-proADM and GDF-15. All biomarkers were associated with increased all-cause mortality (median follow-up 7.3 years, 211 events). Results were validated in 8373 individuals (n = 1734 with BMI ≥ 30 kg/m2) of the FINRISK study with a median follow-up of 13.8 years (1030 events). Using a dichotomized biomarker cutoff for HF, the best predictor for all-cause mortality in obese subjects was GDF-15 (p < 0.001).

Conclusion

All biomarkers were associated with HF and higher risk for all-cause mortality in the general population. In contrast to the natriuretic peptides NT-proBNP and MR-proANP, the novel biomarkers MR-proADM and GDF-15 were not lower in obese HF individuals, indicating their potential to facilitate HF diagnosis and prognosis in an increasingly obese HF population.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JG, Coats AJ, Falk V, Gonzalez-Juanatey JR, Harjola VP, Jankowska EA, Jessup M, Linde C, Nihoyannopoulos P, Parissis JT, Pieske B, Riley JP, Rosano GM, Ruilope LM, Ruschitzka F, Rutten FH, van der Meer P (2016) 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J. doi:10.1093/eurheartj/ehw128

    PubMed Central  Google Scholar 

  2. Gelber RP, Gaziano JM, Orav EJ, Manson JE, Buring JE, Kurth T (2008) Measures of obesity and cardiovascular risk among men and women. J Am Coll Cardiol 52(8):605–615. doi:10.1016/j.jacc.2008.03.066

    Article  PubMed  PubMed Central  Google Scholar 

  3. Baessler A, Strack C, Rousseva E, Wagner F, Bruxmeier J, Schmiedel M, Riegger G, Lahmann C, Loew T, Schmitz G, Fischer M (2012) Growth-differentiation factor-15 improves reclassification for the diagnosis of heart failure with normal ejection fraction in morbid obesity. Eur J Heart Fail 14(11):1240–1248. doi:10.1093/eurjhf/hfs116

    Article  CAS  PubMed  Google Scholar 

  4. van Hateren KJ, Alkhalaf A, Kleefstra N, Groenier KH, de Jong PE, de Zeeuw D, Gans RO, Struck J, Bilo HJ, Gansevoort RT, Bakker SJ (2012) Comparison of midregional pro-A-type natriuretic peptide and the N-terminal pro-B-type natriuretic peptide for predicting mortality and cardiovascular events. Clin Chem 58(1):293–297. doi:10.1373/clinchem.2011.166348

    Article  PubMed  Google Scholar 

  5. Noveanu M, Breidthardt T, Cayir S, Potocki M, Laule K, Mueller C (2009) B-type natriuretic peptide-guided management and outcome in patients with obesity and dyspnea—results from the BASEL study. Am Heart J 158(3):488–495. doi:10.1016/j.ahj.2009.05.033

    Article  CAS  PubMed  Google Scholar 

  6. Olsen MH, Hansen TW, Christensen MK, Gustafsson F, Rasmussen S, Wachtell K, Borch-Johnsen K, Ibsen H, Jorgensen T, Hildebrandt P (2005) N-terminal pro brain natriuretic peptide is inversely related to metabolic cardiovascular risk factors and the metabolic syndrome. Hypertension 46(4):660–666. doi:10.1161/01.HYP.0000179575.13739.72

    Article  CAS  PubMed  Google Scholar 

  7. Krauser DG, Lloyd-Jones DM, Chae CU, Cameron R, Anwaruddin S, Baggish AL, Chen A, Tung R, Januzzi JL Jr (2005) Effect of body mass index on natriuretic peptide levels in patients with acute congestive heart failure: a ProBNP Investigation of Dyspnea in the Emergency Department (PRIDE) substudy. Am Heart J 149(4):744–750. doi:10.1016/j.ahj.2004.07.010

    Article  CAS  PubMed  Google Scholar 

  8. Das SR, Drazner MH, Dries DL, Vega GL, Stanek HG, Abdullah SM, Canham RM, Chung AK, Leonard D, Wians FH Jr, de Lemos JA (2005) Impact of body mass and body composition on circulating levels of natriuretic peptides: results from the Dallas Heart Study. Circulation 112(14):2163–2168. doi:10.1161/CIRCULATIONAHA.105.555573

    Article  CAS  PubMed  Google Scholar 

  9. Wang TJ, Larson MG, Levy D, Benjamin EJ, Leip EP, Wilson PW, Vasan RS (2004) Impact of obesity on plasma natriuretic peptide levels. Circulation 109(5):594–600. doi:10.1161/01.CIR.0000112582.16683.EA

    Article  CAS  PubMed  Google Scholar 

  10. Bohm M, Voors AA, Ketelslegers JM, Schirmer SH, Turgonyi E, Bramlage P, Zannad F (2011) Biomarkers: optimizing treatment guidance in heart failure. Clin Res Cardiol 100(11):973–981. doi:10.1007/s00392-011-0341-0

    Article  PubMed  Google Scholar 

  11. Bayes-Genis A, Lloyd-Jones DM, van Kimmenade RR, Lainchbury JG, Richards AM, Ordonez-Llanos J, Santalo M, Pinto YM, Januzzi JL Jr (2007) Effect of body mass index on diagnostic and prognostic usefulness of amino-terminal pro-brain natriuretic peptide in patients with acute dyspnea. Arch Intern Med 167(4):400–407. doi:10.1001/archinte.167.4.400

    Article  CAS  PubMed  Google Scholar 

  12. Daniels LB, Clopton P, Bhalla V, Krishnaswamy P, Nowak RM, McCord J, Hollander JE, Duc P, Omland T, Storrow AB, Abraham WT, Wu AH, Steg PG, Westheim A, Knudsen CW, Perez A, Kazanegra R, Herrmann HC, McCullough PA, Maisel AS (2006) How obesity affects the cut-points for B-type natriuretic peptide in the diagnosis of acute heart failure. Results from the Breathing Not Properly Multinational Study. Am Heart J 151(5):999–1005. doi:10.1016/j.ahj.2005.10.011

    Article  CAS  PubMed  Google Scholar 

  13. Ukena C, Kindermann M, Mahfoud F, Geisel J, Lepper PM, Kandolf R, Bohm M, Kindermann I (2014) Diagnostic and prognostic validity of different biomarkers in patients with suspected myocarditis. Clin Res Cardiol 103(9):743–751. doi:10.1007/s00392-014-0709-z

    Article  CAS  PubMed  Google Scholar 

  14. Lok DJ, Van Der Meer P, de la Porte PW, Lipsic E, Van Wijngaarden J, Hillege HL, van Veldhuisen DJ (2010) Prognostic value of galectin-3, a novel marker of fibrosis, in patients with chronic heart failure: data from the DEAL-HF study. Clin Res Cardiol 99(5):323–328. doi:10.1007/s00392-010-0125-y

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Poss J, Ukena C, Kindermann I, Ehrlich P, Fuernau G, Ewen S, Mahfoud F, Kriechbaum S, Bohm M, Link A (2015) Angiopoietin-2 and outcome in patients with acute decompensated heart failure. Clin Res Cardiol 104(5):380–387. doi:10.1007/s00392-014-0787-y

    Article  PubMed  Google Scholar 

  16. Shah RV, Truong QA, Gaggin HK, Pfannkuche J, Hartmann O, Januzzi JL Jr (2012) Mid-regional pro-atrial natriuretic peptide and pro-adrenomedullin testing for the diagnostic and prognostic evaluation of patients with acute dyspnoea. Eur Heart J 33(17):2197–2205. doi:10.1093/eurheartj/ehs136

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Maisel A, Mueller C, Nowak R, Peacock WF, Landsberg JW, Ponikowski P, Mockel M, Hogan C, Wu AH, Richards M, Clopton P, Filippatos GS, Di Somma S, Anand I, Ng L, Daniels LB, Neath SX, Christenson R, Potocki M, McCord J, Terracciano G, Kremastinos D, Hartmann O, von Haehling S, Bergmann A, Morgenthaler NG, Anker SD (2010) Mid-region pro-hormone markers for diagnosis and prognosis in acute dyspnea: results from the BACH (Biomarkers in Acute Heart Failure) trial. J Am Coll Cardiol 55(19):2062–2076. doi:10.1016/j.jacc.2010.02.025

    Article  CAS  PubMed  Google Scholar 

  18. Wild PS, Sinning CR, Roth A, Wilde S, Schnabel RB, Lubos E, Zeller T, Keller T, Lackner KJ, Blettner M, Vasan RS, Munzel T, Blankenberg S (2010) Distribution and categorization of left ventricular measurements in the general population: results from the population-based Gutenberg Heart Study. Circ Cardiovasc Imaging 3(5):604–613. doi:10.1161/CIRCIMAGING.109.911933

    Article  PubMed  Google Scholar 

  19. Lean ME, Han TS, Morrison CE (1995) Waist circumference as a measure for indicating need for weight management. BMJ 311(6998):158–161

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Schwarzl M, Ojeda F, Zeller T, Seiffert M, Becher PM, Munzel T, Wild PS, Blettner M, Lackner KJ, Pfeiffer N, Beutel ME, Blankenberg S, Westermann D (2016) Risk factors for heart failure are associated with alterations of the LV end-diastolic pressure-volume relationship in non-heart failure individuals: data from a large-scale, population-based cohort. Eur Heart J. doi:10.1093/eurheartj/ehw120

    PubMed  Google Scholar 

  21. van Riet EE, Hoes AW, Wagenaar KP, Limburg A, Landman MA, Rutten FH (2016) Epidemiology of heart failure: the prevalence of heart failure and ventricular dysfunction in older adults over time. A systematic review. Eur J Heart Fail 18(3):242–252. doi:10.1002/ejhf.483

    Article  PubMed  Google Scholar 

  22. Wild PS, Zeller T, Beutel M, Blettner M, Dugi KA, Lackner KJ, Pfeiffer N, Munzel T, Blankenberg S (2012) The Gutenberg health study. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 55(6–7):824–829. doi:10.1007/s00103-012-1502-7

    Article  CAS  PubMed  Google Scholar 

  23. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150(9):604–612

    Article  PubMed  PubMed Central  Google Scholar 

  24. Lang RM, Bierig M, Devereux RB, Flachskampf FA, Foster E, Pellikka PA, Picard MH, Roman MJ, Seward J, Shanewise J, Solomon S, Spencer KT, St John Sutton M, Stewart W (2006) Recommendations for chamber quantification. Eur J Echocardiogr 7(2):79–108. doi:10.1016/j.euje.2005.12.014

    Article  PubMed  Google Scholar 

  25. Kempf T, Horn-Wichmann R, Brabant G, Peter T, Allhoff T, Klein G, Drexler H, Johnston N, Wallentin L, Wollert KC (2007) Circulating concentrations of growth-differentiation factor 15 in apparently healthy elderly individuals and patients with chronic heart failure as assessed by a new immunoradiometric sandwich assay. Clin Chem 53(2):284–291. doi:10.1373/clinchem.2006.076828

    Article  CAS  PubMed  Google Scholar 

  26. Morgenthaler NG, Struck J, Alonso C, Bergmann A (2005) Measurement of midregional proadrenomedullin in plasma with an immunoluminometric assay. Clin Chem 51(10):1823–1829. doi:10.1373/clinchem.2005.051110

    Article  CAS  PubMed  Google Scholar 

  27. Morgenthaler NG, Struck J, Thomas B, Bergmann A (2004) Immunoluminometric assay for the midregion of pro-atrial natriuretic peptide in human plasma. Clin Chem 50(1):234–236. doi:10.1373/clinchem.2003.021204

    Article  CAS  PubMed  Google Scholar 

  28. Borodulin K, Vartiainen E, Peltonen M, Jousilahti P, Juolevi A, Laatikainen T, Mannisto S, Salomaa V, Sundvall J, Puska P (2015) Forty-year trends in cardiovascular risk factors in Finland. Eur J Public Health 25(3):539–546. doi:10.1093/eurpub/cku174

    Article  PubMed  Google Scholar 

  29. DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44(3):837–845

    Article  CAS  PubMed  Google Scholar 

  30. Figueiras A, Domenech-Massons JM, Cadarso C (1998) Regression models: calculating the confidence interval of effects in the presence of interactions. Stat Med 17(18):2099–2105. doi:10.1002/(SICI)1097-0258(19980930)17:18<2099:AID-SIM905>3.0.CO;2-6

    Article  CAS  PubMed  Google Scholar 

  31. Wang TJ, Larson MG, Keyes MJ, Levy D, Benjamin EJ, Vasan RS (2007) Association of plasma natriuretic peptide levels with metabolic risk factors in ambulatory individuals. Circulation 115(11):1345–1353. doi:10.1161/CIRCULATIONAHA.106.655142

    Article  CAS  PubMed  Google Scholar 

  32. Vizzardi E, Sciatti E, Bonadei I, D’Aloia A, Tartiere-Kesri L, Tartiere JM, Cohen-Solal A, Metra M (2015) Effects of spironolactone on ventricular-arterial coupling in patients with chronic systolic heart failure and mild symptoms. Clin Res Cardiol 104(12):1078–1087. doi:10.1007/s00392-015-0877-5

    Article  CAS  PubMed  Google Scholar 

  33. Wollert KC, Kempf T (2012) GDF-15 in heart failure: providing insight into end-organ dysfunction and its recovery? Eur J Heart Fail 14(11):1191–1193. doi:10.1093/eurjhf/hfs158

    Article  PubMed  Google Scholar 

  34. Daniels LB, Clopton P, Laughlin GA, Maisel AS, Barrett-Connor E (2011) Growth-differentiation factor-15 is a robust, independent predictor of 11-year mortality risk in community-dwelling older adults: the Rancho Bernardo Study. Circulation 123(19):2101–2110. doi:10.1161/CIRCULATIONAHA.110.979740

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tanja Zeller.

Ethics declarations

Conflict of interest

Stefan Blankenberg has received research funding from Abbott, Abbott Diagnostics, Bayer, Boehringer Ingelheim, SIEMENS and Thermo Fisher. He received honoraria for lectures from Abbott, Abbott Diagnostics, Astra Zeneca, Bayer, Boehringer Ingelheim, Medtronic, Pfizer, Roche, SIEMENS Diagnostics, SIEMENS, Thermo Fisher and as member of Advisory Boards and for consulting for Boehringer Ingelheim, Bayer, Novartis, Roche and Thermo Fisher. Tibor Kempf and Kai C. Wollert are named co-inventors on a patent for the use of GDF-15 for cardiovascular applications and have a contract with Roche Diagnostics for the development of a GDF-15 assay. Kai C. Wollert has received research grant funding from Roche Diagnostics. All other co-authors did not report any conflict of interest.

Funding

This study was supported by the German Heart Foundation/German Foundation of Heart Research (Project: F/29/13 to C. Sinning) and by the German Center of Cardiovascular Research (DZHK to M. Schwarzl, D. Westermann and T. Zeller). This work has been supported by the European Union Seventh Framework Program (FP7/2007–2013) under grant agreement No. HEALTH-F2-2011-278913 (BiomarCaRE). The Gutenberg Health Study is funded through the research programs “Wissen schafft Zukunft” and “Schwerpunkt Vaskuläre Prävention” of the University Medical Center, Johannes Gutenberg-University Mainz, the government of Rheinland-Pfalz (“Stiftung Rheinland-Pfalz für Innovation”, AZ 961-386261/733), and Boehringer Ingelheim GmbH and Philips GmbH, including an unrestricted grant. V. Salomaa has been supported by the Finnish Foundation for Cardiovascular Research.

Additional information

D. Westermann and T. Zeller were equally senior author of the manuscript.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOC 309 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sinning, C., Ojeda, F., Wild, P.S. et al. Midregional proadrenomedullin and growth differentiation factor-15 are not influenced by obesity in heart failure patients. Clin Res Cardiol 106, 401–410 (2017). https://doi.org/10.1007/s00392-016-1066-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00392-016-1066-x

Keywords

Navigation