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. 2020 Dec 18;10:22317. doi: 10.1038/s41598-020-78999-4

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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 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/.

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Principal Component Analysis (PCA) loading plots of 89 urine spectra analyzed by high-field Nuclear Magnetic Resonance reveals the metabolomic fingerprint of TB corresponding to 31 chemical shift regions assigned to eight metabolites. (a) PCA loading PC1-PC2 biplot and PC1 loading plot between TB patients and uninfected individuals; (b) PCA loading PC1-PC2 biplot and PC2 plot between TB patients and patients with pneumococcal pneumonia (PnP); (c) PCA loading PC2-PC3 biplot and PC2 loading plot between TB patients and individuals with LTBI. Multiple regions for the discrimination between groups were pointed outside the boundaries of a Hotelling's T2 statistics ellipse (pointed red line) in PCA loading biplots. TB, tuberculosis; PnP, pneumococcal pneumonia; LTBI: latent TB infection; PC, Principal Component.