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. 2020 Mar 25;10:5424. doi: 10.1038/s41598-020-62255-w

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© The Author(s) 2020

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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The global metabolite profile responding to lethal radiation. (A) Venn diagram shows the longitudinal distribution of differentially expressed metabolites across three time phases post-TBI, namely, Early (d0–d1), Mid (d3–d7) and Late (d9). The largest number of differentially expressed metabolites (40 metabolites) is found at the cross section of the three phases. (B) Venn diagram shows the longitudinal distribution of significantly enriched networks across three time phases post-TBI, namely, Early (d0–d1), Mid (d3–d7) and Late (d9). Unlike the miRNA profile, here most of the networks are linked to the Mid phase post-TBI. (C) The top 5 most significantly enriched networks during the Early, Early-Mid and Early-Mid-Late phases are shown in this bar chart. The Early phase enlists only 2 networks, so all of them are included here. The top horizontal axis represents the −log(p value), and the bars represent the hypergeometric p-values converted to log₁₀ associated with individual networks. The bottom horizontal axis represents the sample size (N), and the open circles represent the number of metabolites associated with individual networks.