Metabolomics Reveals Metabolic Biomarkers of Crohn's Disease (original) (raw)
Figure 4
PLS loading plot (A) where bacterial abundance defined the Y matrix and ICR-FT/MS data were plotted as predictors of differentiating bacteria based on their regression coefficients.
Masses with the greatest regression coefficients for specific bacterial populations that were more abundant [B. ovatus (BO), B. vulgatus (BV), and Escherichia coli (EC)] and less abundant [Faecalibacterium prausnitzii (FP) and Bacteroides uniformis (BU)] in the feces of individuals with ileal Crohn's disease (ICD) compared to individuals with colonic Crohn's disease (CCD) and healthy (H) individuals are identified in the heat plot (B). The heat plot indicates the abundance of masses, the predicted metabolite, the bacteria that were positively correlated to that metabolite and whether the metabolite was positively (+) or negatively (−) associated with ICD. The clustering on the x-axis is according to disease and that on the y-axis is according to the relative abundances of the same bacterial populations selected in (A) and corresponding abbreviations are given on the first column to the right of the heat plot. Individuals on the x-axis are coded according to [17]. Each cell is colored based on the detected level of the predicted metabolite.