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. 2022 Jul 22;12:919352. doi: 10.3389/fcimb.2022.919352

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Copyright © 2022 Zhu, Tang, He, Hu, Sun, Jin, Wang and Xu

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Lasso regression model and ROC to further identify biomarkers to distinguish GR from PR. (A) Lasso regression model of 11 genera filtered from LEfSe analysis; 1, g:Neisseria 2, g: Streptococcus 3, g:Haemophilus 4, g:Porphyromonas 5, g:Fusobacterium 6, g:Veillonella 7, g:Prevotella_7 8, g:Rothia 9, g:Leptotrichia 10, g:Prevotella 11, g:Actinomyces. (B, C) ROC curves of nine Lasso-selected genera in the exploration and validation cohorts with P < 0.05. (D) Lasso regression model of five genera enriched in GR filtered from LEfSe analysis. 1, g:Faecalibacterium 2, g:Citrobacter 3, g:Bifidobacterium 4, g:Escherichia-Shigella 5, g:Bacteroides. (E, F) ROC curve of five Lasso-selected genera in exploration and validation cohort with P < 0.05. PR, poor response; GR, good response. (G) Correlation analysis between biomarkers and potential indicators associated with EH. *p < 0.05; **p < 0.01.