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. Author manuscript; available in PMC: 2021 Nov 1.
Published in final edited form as: Environ Pollut. 2020 Jul 18;266(Pt 1):115233. doi: 10.1016/j.envpol.2020.115233

Fig. 3.

Fig. 3.

Sparse partial least squares - discriminant analysis (sPLS-DA)(Lê Cao et al., 2011) revealed differences in the PCB congener profiles between tissues from FWT mice (n=4), with three principal components (PCs) accounting for 84.6% of the data variance. These differences were due to tissue-specific changes in the relative levels of PCB congeners that are more readily metabolized (Class D) vs. PCB congeners that are more resistant to metabolism (Classes A through C). PC1 separated adipose tissue from the brain and liver; PC2 separated blood from adipose tissue; PC3 separated the liver from other tissues. sPLS-DA was performed with PCB congener profiles using MetaboAnalyst 4.0 after removing variables for a threshold of 25%, cubic root transformation, and autoscaling features (Chong et al., 2018). For analogous analyses of PCB congener profiles from MWT, MKO, and FKO mice, see Figs. S8–S10 in the Supplementary material.