Fig. 5: Decreased liver B vitamin-related enzymes in SEKI and CRCA.
From: Decreased liver B vitamin-related enzymes as a metabolic hallmark of cancer cachexia
a Declines of vitamin B-related enzymes in SEKI and CRCA liver proteomes. Bubble size represents protein concentration. MEWO, N = 3 mice; LNCA, N = 3 mice; SEKI, N = 3 mice; CRCA, N = 3 mice; STRV, N = 2 mice. MaxLFQ values were used to estimate protein concentrations41. The calculation of the protein concentration estimates is described in the Methods section (Methods, Estimation of protein concentration). Fold changes are from TMT quantitative proteomic analysis. NIA, niacin related enzymes; B6, vitamin B6 related enzymes; PA, pantothenic acid related enzymes; B2, vitamin B2 related enzymes; ATP, ATP related enzymes. The plots are limited to a range of −6 to 0 on the X-axis and −2 to 1 on the Y-axis. b Scatterplots of changes (log2) in the CRCA liver transcriptome with published mouse protein abundance data on the X-axis. FC, fold change. Red solid lines represent linear regression lines. Transcriptome data; CRCA, N = 4 mice; C57BL/6N, N = 4 mice. Protein concentrations were estimated from MaxLFQ values of mouse liver by LC-MS. Facet number, depression slope (permille). c Distribution of B6-, NIA-, PA-, B2-, ATP-related and all enzymes in mouse hepatic proteome data. High concentrations (gray zone), protein concentrations above the highest quartile of the published hepatic proteome. d Path diagrams of multiple regression analysis for SEKI and CRCA hepatic proteome data (SEKI, N = 3 mice; CRCA, N = 3 mice). NIA/B6/PA or not, a dummy variable, specifically, NIA-, B6-, PA-related enzymes (= 1) or other enzymes (= 0) (SEKI, 1259 enzymes; CRCA, 1008 enzymes); Protein abundance, protein concentrations estimated from MaxLFQ values of mouse liver by LC-MS; FC, fold change values from proteome data; unidirectional arrows, cause-and-effect relationships; numbers next to arrows, partial regression coefficients; asterisks next to partial regression coefficients, non-adjusted P-values (multiple regression analysis, ***P < 0.001); R2, non-adjusted multiple R-squared; 95% CI, 95% confidential interval. Non-adjusted P-values (multiple regression analysis); SEKI, NIA/B6/PA or not, 8.68 × 10−7; SEKI, protein abundance, 7.29 × 10−16; CRCA, NIA/B6/PA or not, 5.46 × 10−11; CRCA protein abundance, 2 × 10−16. Generalized variance-inflation factor (GVIF); SEKI, NIA/B6/PA or not, 1.056; SEKI, protein abundance, 1.060; CRCA, NIA/B6/PA or not, 1.052; CRCA, protein abundance, 1.052. e Schematic of relationships between key factors, proposed mainly based on proteomic findings. Source data are provided as a Source Data file.
