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. 2019 Aug 27;10:1965. doi: 10.3389/fimmu.2019.01965

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Copyright © 2019 Babu, Ambikan, Gabriel, Svensson Akusjärvi, Palaniappan, Sundaraj, Mupanni, Sperk, Cheedarla, Sridhar, Tripathy, Nowak, Hanna and Neogi.

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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Plasma inflammation markers. (A) The random forest (RF) analysis of soluble factors resulted in predictive accuracies of 86.6% for HIVNC, Pre-ART, and ART. The soluble factors importance plots display the top 30 metabolites, which most strongly contribute to the groups' separation for HIVNC, Pre-ART, and ART. (B) Principal component analysis using PCAtool indicating grouping in different disease categories. (C) Hierarchical clustering analysis of ANOVA of top 20 differentially expressed proteins with false discovery rate (FDR) <0.001.