Fig. 3: Inflammation severity-associated biomolecule dynamics and corona-induced inflammation prediction. | Nature Communications

Fig. 3: Inflammation severity-associated biomolecule dynamics and corona-induced inflammation prediction.

From: Inflammatory disease progression shapes nanoparticle biomolecular corona-mediated immune activation profiles

Fig. 3

Bioinformatic quantification of mouse plasma proteins a, lipids b, and metabolites c at varying times after LPS injection (n = 3 measurements of pooled plasma from 10 mice/condition/replicate). Bioinformatic quantification of PLGA NP corona proteins d, lipids e, and metabolites f after plasma incubation (n = 3 biological replicates). Biomolecules are grouped according to function process or structural category and represented as a percent of total biomolecule abundance. All mass spectrometry data is presented as mean values +/- SD. Volcano plot comparing multi-omic biomolecule abundances between NaïvePlas vs. 3hrPlas_PLGA NP coronas g, 3hrPlas vs. 8hrPlas_PLGA NP coronas h, and 8hrPlas vs. NaïvePlas_PLGA NP coronas i Volcano data points are colored green (NaïvePlas), red (3hrPlas), and blue (8hrPlas) based on their elevated plasma condition. Significance was determined for each omics dataset individually using a Two-way ANOVA with Benjamini−Hochberg adjustment. j Schematic representation of multi-omic data processing and Ingenuity Pathway Analysis (IPA) application. Created in BioRender. Shaw, J. (2025) https://BioRender.com/g93r882. k Upstream network effects that were supervised to predict 3hrPlas corona-induced cytokines. Color key and symbols are reported in the legend. Source data are provided as a Source Data file.

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