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. 2023 Jul 25;11:159. doi: 10.1186/s40168-023-01594-y

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© The Author(s) 2023

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 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. 5 — Cervicovaginal metabolome differences between women with high and low inflammation. A Hierarchical clustering of differentially abundant (p<0.05) metabolites based on inflammation group. B Log2 normalized abundance of xanthine identified in CVL samples by inflammation group with median indicated. C Log2 normalized abundance of lactate identified in CVL samples by inflammation group with median indicated. Adjusted p values are reported and were calculated using the Kruskal-Wallis test with Dunn’s correction for multiple comparisons. Two participants from the high inflammation group did not have samples available for metabolomics analysis. N=41