Figure 3 | Scientific Reports

Figure 3

From: Analysis of the potential regulatory mechanisms of female and latent genital tuberculosis affecting ovarian reserve function using untargeted metabolomics

Figure 3

Classification of differential metabolites. (A) KEGG compound classification statistics of differential metabolites in the control vs. FGTB group. Among the 92 differential metabolites identified in the control vs. FGTB comparison, two, two, one, two, two, and five differential metabolites were annotated to “Steroids,” “Peptides,” “Organic acids,” “Lipids,” “Carbohydrates,” and “Hormones and transmitters,” respectively, with the remaining metabolites not receiving any annotation. (B) KEGG compound classification statistics of differential metabolites in the control vs. LGTB group. Among the 80 differential metabolites identified in the control vs. LGTB comparison, two, six, three, four, and one differential metabolites were annotated to “Peptides,” “Lipids,” “Steroids,” “Hormones and transmitters,” and “Organic acids,” respectively, with the remaining metabolites not receiving any annotation. (C) HMDB compound classification statistics of differential metabolites in the control vs. FGTB group. The control vs. FGTB group had 91 out of 92 differential metabolites identified by the HMDB 4.0 database. The 91 differential metabolites were primarily annotated to “Lipids and lipid-like molecules” (31, 34.07%), “Organic acids and derivatives” (13, 14.29%), “Organic oxygen compounds” (13, 14.29%), and “Organoheterocyclic compounds” (12, 13.19%). (D) HMDB compound classification statistics of differential metabolites in the control vs. LGTB group. The control vs. LGTB group had 77 out of 80 differential metabolites identified by the HMDB 4.0 database. The 77 differential metabolites were primarily annotated to “Lipids and lipid-like molecules” (34, 44.16%), “Organic acids and derivatives” (15, 19.48%), and “Organoheterocyclic compounds” (12, 15.58%).

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