Startseite Long-term biological variability of galectin-3 after heart transplantation
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Long-term biological variability of galectin-3 after heart transplantation

  • Janka Franeková , Zdeněk Kubíček , Lenka Hošková , Markéta Kotrbatá , Peter Sečník , Josef Kautzner und Antonín Jabor EMAIL logo
Veröffentlicht/Copyright: 11. Juli 2014
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Abstract

Background: Galectin-3 is an emerging biomarker of heart failure and of myocardial fibrosis risk. Monitoring of galectin-3 is essential during treatment with galectin-3 inhibitors. The aim of our study was to assess long-term biological variability in a specific group of unhealthy subjects.

Methods: The biological variability of galectin-3 was measured in a group of 44 patients after heart transplantation (HTx). Six samples were taken from each patient during a 12-month period. Galectin-3 was measured with an Abbott Architect automated immunoassay.

Results: Intraindividual (CVi) and interindividual (CVg) variabilities were calculated together with the reference change value (RCV), the log-normal RCV for increase (RCV+), and the log-normal RCV for decrease (RCV–). The CVi, CVg, RCV, RCV+, and RCV– were 28.2%, 35.6%, 78.6%, 116%, and –53.7%, respectively. The index of individuality was 0.79.

Conclusions: The concentrations of galectin-3 in patients followed 12 months after HTx fluctuated around the homeostatic point, with CVi of approximately 28%. RCVs of +116% (log-normal increase) and –54% (log-normal decrease) mean that the concentration of galectin-3 would need to approximately double or decrease by half to indicate a new process.


Corresponding author: Antonín Jabor, Department of Laboratory Methods, Institute for Clinical and Experimental Medicine, Vídeňská 1958/9, 140 21 Prague, Czech Republic, Phone: +420 236 055236, Fax: +420 236 053023, E-mail:

Acknowledgments

Support for this study was provided by Abbott Laboratories, which provided reagents.

Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

Financial support: None declared.

Employment or leadership: None declared.

Honorarium: Antonín Jabor accepted speaker’s honoraria from Abbott Laboratories and Roche Diagnostics. For the other authors, no conflicts of interest are declared.

Competing interests: The funding organisation(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. De Boer RA, Yu L, Van Veldhiusen DJ. Galectin-3 in cardiac remodeling and heart failure. Curr Heart Fail Rep 2010;7:1–8.10.1007/s11897-010-0004-xSuche in Google Scholar PubMed PubMed Central

2. De Boer RA, Voors AA, Muntendam P, van Gilst WH, van Veldhuisen DJ. Galectin-3: a novel mediator of heart failure development and progression. Eur J Heart Fail 2009;11:811–7.10.1093/eurjhf/hfp097Suche in Google Scholar PubMed

3. Lok DJ, Van Der Meer P, de la Porte PW, Lipsic E, Van Wijngaarden J, Hillege HL, et al. 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 2010;99:323–8.10.1007/s00392-010-0125-ySuche in Google Scholar PubMed PubMed Central

4. Shah RV, Chen-Tournoux AA, Picard MH, van Kimmenade RR, Januzzi JL. Galectin-3, cardiac structure and function, and long-term mortality in patients with acutely decompensated heart failure. Eur J Heart Fail 2010;12:826–32.10.1093/eurjhf/hfq091Suche in Google Scholar PubMed PubMed Central

5. Grandin EW, Jarolim P, Murphy SA, Ritterova L, Cannon CP, Braunwald E, et al. Galectin-3 and the development of heart failure after acute coronary syndrome: pilot experience from PROVE IT-TIMI 22. Clin Chem 2012;58:267–73.10.1373/clinchem.2011.174359Suche in Google Scholar PubMed

6. Yu L, Ruifrok WP, Meissner M, Bos EM, van Goor H, Sanjabi B, et al. Genetic and pharmacological inhibition of galectin-3 prevents cardiac remodeling by interfering with myocardial fibrogenesis. Circ Heart Fail 2013;6:107–17.10.1161/CIRCHEARTFAILURE.112.971168Suche in Google Scholar PubMed

7. Gaze DC, Prante C, Dreier J, Knabbe C, Collet C, Launay JM, et al. Analytical evaluation of the automated galectin-3 assay on the Abbott ARCHITECT immunoassay instruments. Clin Chem Lab Med 2014;16:1–8.10.1515/cclm-2013-0942Suche in Google Scholar PubMed

8. The R Project for Statistical Computing. R: A language and environment for statistical computing. http://www.R-project.org/. Accessed on 24 July 2013.Suche in Google Scholar

9. Fokkema MR, Herrmann Z, Muskiet FA, Moecks J. Reference change values for brain natriuretic peptides revisited. Clin Chem 2006;52:1602–3.10.1373/clinchem.2006.069369Suche in Google Scholar PubMed

10. Wu AH, Wians F, Jaffe A. Biological variation of galectin-3 and soluble ST2 for chronic heart failure: implication on interpretation of test results. Am Heart J 2013;165:995–9.10.1016/j.ahj.2013.02.029Suche in Google Scholar PubMed

11. Dittadi R, Peloso L, Gion M. Within-subject biological variation in disease: the case of tumour markers. Ann Clin Biochem 2008;45:226–7.10.1258/acb.2007.072441Suche in Google Scholar PubMed

12. Ricós C, Iglesias N, García-Lario JV, Simón M, Cava F, Hernández A, et al. Within-subject biological variation in disease: collated data and clinical consequences. Ann Clin Biochem 2007;44:343–52.10.1258/000456307780945633Suche in Google Scholar PubMed

13. de Boer RA, Lok DJ, Jaarsma T, van der Meer P, Voors AA, Hillege HL, et al. Predictive value of plasma galectin-3 levels in heart failure with reduced and preserved ejection fraction. Ann Med 2011;43:60–8.10.3109/07853890.2010.538080Suche in Google Scholar PubMed PubMed Central

14. Erkilet G, Özpeker C, Böthig D, Kramer F, Röfe D, Bohms B, et al. The biomarker plasma galectin-3 in advanced heart failure and survival with mechanical circulatory support devices. J Heart Lung Transplant 2013;32:221–30.10.1016/j.healun.2012.11.011Suche in Google Scholar PubMed

15. Røraas T, Petersen PH, Sandberg S. Confidence intervals and power calculations for within-person biological variation: effect of analytical imprecision, number of replicates, number of samples, and number of individuals. Clin Chem 2012;58:1306–13.10.1373/clinchem.2012.187781Suche in Google Scholar PubMed

16. Jones GR. Critical difference calculations revised: inclusion of variation in standard deviation with analyte concentration. Ann Clin Biochem 2009;46:517–9.10.1258/acb.2009.009083Suche in Google Scholar PubMed

Received: 2013-12-17
Accepted: 2014-6-18
Published Online: 2014-7-11
Published in Print: 2015-1-1

©2015 by De Gruyter

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