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. 2020 May 18;20:229. doi: 10.1186/s12872-020-01491-4

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© 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.

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Fig. 4 — Baseline subgroup analysis for BAV patients. a Baseline hemodynamics in lower and higher baseline V_max groups. (* indicated p-value< 0.05). b Comparison of all metabolites between the lower and higher V_max groups by volcano plot. c WGCNA algorithm identified the metabolic module closely related to baseline V_max. d Venn plot indicated the impact metabolites which both were positively related to baseline V_max and differentially expressed between BAV and TAV. e Pathway enrichment analysis detected the significantly altered arachidonic acid metabolism pathway (p-value< 0.05). f The different expression of metabolites in arachidonic acid metabolism pathway between patients with lower and higher baseline V_max (* indicated p-value< 0.05)