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October 14, 2020Clinical Research in Cardiology13 citationsOpen Access

Metabolomic profiling of patients with high gradient aortic stenosis undergoing transcatheter aortic valve replacement

DHDaniela HaaseLBLaura BäzTBTarek Bekfani

Structured PICO

Does transcatheter aortic valve replacement reverse metabolomic alterations in patients with severe high-gradient aortic stenosis?

P
Population
30 patients with severe high-gradient aortic valve stenosis and 20 healthy controls
I
Intervention
Transcatheter aortic valve replacement (TAVR)
C
Comparator
Pre-TAVR baseline and healthy controls
O
Outcome
Changes in 188 plasma metabolites quantified by liquid chromatography tandem mass spectrometry at 6 weeks post-TAVR compared to pre-TAVR and healthy controlssurrogate

TAVR induces significant and partially reversible changes in the metabolomic profile of patients with severe high-gradient aortic stenosis, which correlate with clinical parameters like BNP and LVEF improvement.

Abstract

AIM: Aim of our study was to evaluate metabolic changes in patients with aortic stenosis (AS) before and after transcatheter aortic valve replacement (TAVR) and to assess whether this procedure reverses metabolomic alterations. METHODS: 188 plasma metabolites of 30 patients with severe high-gradient aortic valve stenosis (pre-TAVR and 6 weeks post-TAVR) as well as 20 healthy controls (HC) were quantified by liquid chromatography tandem mass spectrometry. Significantly altered metabolites were then correlated to an extensive patient database of clinical parameters at the time of measurement. RESULTS: Out of the determined metabolites, 26.6% (n = 50) were significantly altered in patients with AS pre-TAVR compared to HC. In detail, 5/40 acylcarnitines as well as 10/42 amino acids and biogenic amines were mainly increased in AS, whereas 29/90 glycerophospholipids and 6/15 sphingomyelins were mainly reduced. In the post-TAVR group, 10.1% (n = 19) of metabolites showed significant differences when compared to pre-TAVR. Moreover, we found nine metabolites revealing reversible concentration levels. Correlation with clinically important parameters revealed strong correlations between sphingomyelins and cholesterol (r = 0.847), acylcarnitines and brain natriuretic peptide (r = 0.664) and showed correlation of acylcarnitine with an improvement of left ventricular (LV) ejection fraction (r = - 0.513) and phosphatidylcholines with an improvement of LV mass (r = - 0.637). CONCLUSION: Metabolic profiling identified significant and reversible changes in circulating metabolites of patients with AS. The correlation of circulating metabolites with clinical parameters supports the use of these data to identify novel diagnostic as well as prognostic markers for disease screening, pathophysiological studies as well as patient surveillance.

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Cite This Study

Haase et al. (2020) studied this question.

synapsesocial.com/papers/6a067374b15c5606f288c346https://doi.org/10.1007/s00392-020-01754-2
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