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Circulating metabolite profiles to predict response to cardiac resynchronization therapy

BACKGROUND: Heart failure is associated with ventricular dyssynchrony and energetic inefficiency, which can be alleviated by cardiac resynchronization therapy (CRT) with approximately one-third of non-response rate. Thus far, there is no specific biomarker to predict the response to CRT in patients...

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Autores principales: Gong, Xue, Sun, Zhonghan, Huang, Zheyong, Zhou, Qian, Yu, Ziqing, Chen, Xueying, Shao, Wenqi, Zheng, Yan, Liang, Yixiu, Qin, Shengmei, Su, Yangang, Ge, Junbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164223/
https://www.ncbi.nlm.nih.gov/pubmed/32299366
http://dx.doi.org/10.1186/s12872-020-01443-y
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author Gong, Xue
Sun, Zhonghan
Huang, Zheyong
Zhou, Qian
Yu, Ziqing
Chen, Xueying
Shao, Wenqi
Zheng, Yan
Liang, Yixiu
Qin, Shengmei
Su, Yangang
Ge, Junbo
author_facet Gong, Xue
Sun, Zhonghan
Huang, Zheyong
Zhou, Qian
Yu, Ziqing
Chen, Xueying
Shao, Wenqi
Zheng, Yan
Liang, Yixiu
Qin, Shengmei
Su, Yangang
Ge, Junbo
author_sort Gong, Xue
collection PubMed
description BACKGROUND: Heart failure is associated with ventricular dyssynchrony and energetic inefficiency, which can be alleviated by cardiac resynchronization therapy (CRT) with approximately one-third of non-response rate. Thus far, there is no specific biomarker to predict the response to CRT in patients with heart failure. In this study, we assessed the role of the blood metabolomic profile in predicting the response to CRT. METHODS: A total of 105 dilated cardiomyopathy patients with severe heart failure who received CRT were included in our two-stage study. Baseline blood samples were collected prior to CRT implantation. The response to CRT was defined according to echocardiographic criteria. Metabolomic profiling of serum samples was carried out using ultrahigh performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry. RESULTS: Seventeen metabolites showed significant differences in their levels between responders and non-responders, and these metabolites were primarily involved in six pathways, including linoleic acid metabolism, Valine, leucine and isoleucine biosynthesis, phenylalanine metabolism, citrate cycle, tryptophan metabolism, and sphingolipid metabolism. A combination of isoleucine, tryptophan, and linoleic acid was identified as an ideal metabolite panel to distinguish responders from non-responders in the discovery set (n = 51 with an AUC of 0.981), and it was confirmed in the validation set (n = 54 with an AUC of 0.929). CONCLUSIONS: Mass spectrometry based serum metabolomics approach provided larger coverage of metabolome which can help distinguish CRT responders from non-responders. A combination of isoleucine, tryptophan, and linoleic acid may associate with significant prognostic values for CRT.
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spelling pubmed-71642232020-04-22 Circulating metabolite profiles to predict response to cardiac resynchronization therapy Gong, Xue Sun, Zhonghan Huang, Zheyong Zhou, Qian Yu, Ziqing Chen, Xueying Shao, Wenqi Zheng, Yan Liang, Yixiu Qin, Shengmei Su, Yangang Ge, Junbo BMC Cardiovasc Disord Research Article BACKGROUND: Heart failure is associated with ventricular dyssynchrony and energetic inefficiency, which can be alleviated by cardiac resynchronization therapy (CRT) with approximately one-third of non-response rate. Thus far, there is no specific biomarker to predict the response to CRT in patients with heart failure. In this study, we assessed the role of the blood metabolomic profile in predicting the response to CRT. METHODS: A total of 105 dilated cardiomyopathy patients with severe heart failure who received CRT were included in our two-stage study. Baseline blood samples were collected prior to CRT implantation. The response to CRT was defined according to echocardiographic criteria. Metabolomic profiling of serum samples was carried out using ultrahigh performance liquid chromatography coupled with quadrupole-time-of-flight mass spectrometry. RESULTS: Seventeen metabolites showed significant differences in their levels between responders and non-responders, and these metabolites were primarily involved in six pathways, including linoleic acid metabolism, Valine, leucine and isoleucine biosynthesis, phenylalanine metabolism, citrate cycle, tryptophan metabolism, and sphingolipid metabolism. A combination of isoleucine, tryptophan, and linoleic acid was identified as an ideal metabolite panel to distinguish responders from non-responders in the discovery set (n = 51 with an AUC of 0.981), and it was confirmed in the validation set (n = 54 with an AUC of 0.929). CONCLUSIONS: Mass spectrometry based serum metabolomics approach provided larger coverage of metabolome which can help distinguish CRT responders from non-responders. A combination of isoleucine, tryptophan, and linoleic acid may associate with significant prognostic values for CRT. BioMed Central 2020-04-16 /pmc/articles/PMC7164223/ /pubmed/32299366 http://dx.doi.org/10.1186/s12872-020-01443-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Gong, Xue
Sun, Zhonghan
Huang, Zheyong
Zhou, Qian
Yu, Ziqing
Chen, Xueying
Shao, Wenqi
Zheng, Yan
Liang, Yixiu
Qin, Shengmei
Su, Yangang
Ge, Junbo
Circulating metabolite profiles to predict response to cardiac resynchronization therapy
title Circulating metabolite profiles to predict response to cardiac resynchronization therapy
title_full Circulating metabolite profiles to predict response to cardiac resynchronization therapy
title_fullStr Circulating metabolite profiles to predict response to cardiac resynchronization therapy
title_full_unstemmed Circulating metabolite profiles to predict response to cardiac resynchronization therapy
title_short Circulating metabolite profiles to predict response to cardiac resynchronization therapy
title_sort circulating metabolite profiles to predict response to cardiac resynchronization therapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164223/
https://www.ncbi.nlm.nih.gov/pubmed/32299366
http://dx.doi.org/10.1186/s12872-020-01443-y
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