Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2022 Jan 10;12:8. doi: 10.1038/s41398-021-01769-x

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2021

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/.

PMC Copyright notice

Fig. 2 — a LDA scores revealed different composition in bacterial taxa between MDD and HCs (LDA = 2). Red bars indicate taxa were enrichment in MDD, and green bars represent abundant bacterial taxa in HCs. b Differential biological processes of gut microbiome function in MDD groups (red) relative to HCs (blue). c At the phylum level, the abundance of Firmicutes and Bacteroidetes were decreased in the MDD group relative to HCs, while Actinobacteria were significantly higher in the MDD group than in the HC group. ns: p > 0.05; *p < 0.05. d–e Using random forest models to predicted MDD diagnosis through biomarkers. b Six Biomarkers were screened according to Mean Decrease Accuracy in random forest. Rank the species from top to bottom according to their degree of contribution. c Receiver operating characteristic (ROC) curves of response predicted by random forest models. The area under the ROC curve (AUC) was 0.98 (95% CI: 0.961–1).