Literature DB >> 32418719

Effect of Galectin 3 on Aldosterone-Associated Risk of Cardiovascular Mortality in Patients Undergoing Coronary Angiography.

Martin Robert Grübler1, Graciela Delgado2, Marcus Kleber2, Bríain Ó Hartaigh3, Rudolf Allert de Boer4, Nicolas Verheyen5, Martin Keppel6, Johannes Schmid6, George Cm Siontis7, Lorenz Räber7, Burkert Pieske8, Stefan Pilz9, Andreas Tomaschitz10, Winfried März11.   

Abstract

Recent experimental studies have suggested that galectin-3 has an interaction with aldosterone, and modifies its adverse effects. We therefore aimed to elucidate whether the relationship between plasma aldosterone concentrations (PACs) and long-term fatal cardiovascular (CV) events would depend on plasma galectin-3 levels. A total of 2,457 patients (median age: 63.5 [interquartile range (IQR) = 56.3 to 70.6] years, 30.1% women) from the LUdwigshafen RIsk and Cardiovascular Health study, with a median follow-up of 9.9 (IQR = 8.5 to 10.7) years, were included. We tested the interaction between aldosterone and galectin-3 for CV-mortality using a multivariate Cox proportional hazard model, reporting hazard ratios (HRs) with 95% confidence intervals (95%CIs). Adjustments for multiple CV risk factors as well as medication use were included. Mean PAC was 79.0 (IQR = 48.0 to 124.0) pg/ml and there were 558 (16.8%) CV deaths. There was a significant interaction between PAC and galectin-3 (p = 0.021). When stratifying patients by the median galectin-3, there was a significant association between aldosterone and CV-mortality for those above (HR per 1 standard deviation = 1.14; 95%CI [1.01 to 1.30], p = 0.023), but not below the cut-off value (HR per 1 standard deviation = 1.00; 95%CI [0.87 to 1.15], p = 0.185). In conclusion, the current study demonstrates for the first time a modifying effect of galectin-3 on the association between aldosterone and CV-mortality risk in humans. These findings indicate that galectin-3 is an intermediate between aldosterone and adverse outcomes.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 32418719     DOI: 10.1016/j.amjcard.2020.04.017

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  1 in total

1.  Analysis of Cardiovascular Disease Angiography Process Based on Rough Set and Internet of Things.

Authors:  Yuesheng Gui; Jiawei Qiu; Guangming Wang
Journal:  J Healthc Eng       Date:  2022-01-18       Impact factor: 2.682

  1 in total

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