Copyright
©The Author(s) 2023.
World J Hepatol. Nov 27, 2023; 15(11): 1237-1249
Published online Nov 27, 2023. doi: 10.4254/wjh.v15.i11.1237
Published online Nov 27, 2023. doi: 10.4254/wjh.v15.i11.1237
Figure 1 Score plot generated from partial least squares discriminant analysis comparing fibrosis grades (Metavir).
Each plasma metabolite profile is highlighted by different colors: F1 (red dots), F2 (blue dots), F3 (purple dots), and F4 (green dots). The shaded regions around the points represent the 95% confidence interval for each group.
Figure 2 Variable importance score of the biomarkers identified for grades F1, F2, F3, and F4.
The Y axis represents the metabolites m/z ratio. The X axis indicates the importance of projection for each biomarker. Laterally to the right, the relevance of each specific marker within the group analyzed is represented according to the color gradations of each biomarker for each grade of fibrosis. The red color represents the most relevant biomarkers; as the red intensity decreases and approaches the green color, the relevance of the biomarkers reduces. Red = up-regulation; Green = down-regulation. VIP Score: Variable importance score.
Figure 3 Score plot generated from partial least squares discriminant analysis comparing the chronic hepatitis C vs healthy control groups.
Each group is highlighted by different colors: Healthy control groups (red dots) and chronic hepatitis C (green dots), where each dot represents one analytical replicate. The shaded regions around the points represent the 95% confidence interval for each group.
Figure 4 Variable importance score of the biomarkers identified when comparing the chronic hepatitis C vs healthy control groups.
The Y axis represents the metabolites m/z ratio. The X axis indicates the importance in projection for each biomarker. Laterally to the right, the relevance of each specific marker within the group analyzed is represented according to the color gradations of each biomarker for each grade of fibrosis. The red color represents the most relevant biomarkers; as the red intensity decreases and approaches the green color, the relevance of the biomarkers reduces. Red = up-regulation; Green = down-regulation. VIP Score: Variable importance score.
Figure 5 Receiver operating characteristic curve analysis of the sets of metabolites identified at each fibrosis grade.
A: Receiver operating characteristic (ROC) curve analysis of the set of differential metabolites identified in F1 compared to the other grades (F2, F3, and F4); B: ROC curve analysis of the set of differential metabolites identified in F2 compared to the other grades (F1, F3, and F4); C: ROC curve analysis of the set of differential metabolites identified in F3 compared to the other grades (F1, F2, and F4); D: ROC curve analysis of the set of differential metabolites identified in F4 compared to the other grades (F1, F2, and F3).
- Citation: Ferrasi AC, Lima SVG, Galvani AF, Delafiori J, Dias-Audibert FL, Catharino RR, Silva GF, Praxedes RR, Santos DB, Almeida DTM, Lima EO. Metabolomics in chronic hepatitis C: Decoding fibrosis grading and underlying pathways. World J Hepatol 2023; 15(11): 1237-1249
- URL: https://www.wjgnet.com/1948-5182/full/v15/i11/1237.htm
- DOI: https://dx.doi.org/10.4254/wjh.v15.i11.1237