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. 2022 Dec 3;14(23):5134. doi: 10.3390/nu14235134

Figure 2.

Figure 2

A total of 71 parameters were used to perform a PLS-DA predictive model (A). Those parameters with a coefficient mean higher than 50 (B) were analyzed in a PCA multivariate analysis (C). 22 normalized parameters were also represented in a Heat Map (D). CCX, cocoanox extract; MG, mammary gland; Adipor1, adiponectin receptor 1; EE, energy expenditure; OW, ovaric white adipose tissue; Hsl, hormone-sensitive lipase; Pl, plasma; T, total; Adiponect, adiponectin; EroL1α, endoplasmic reticulum oxidoreductin 1-like protein alpha; Acc1, acetyl CoA carboxylase 1; FFAs, free fatty acids; Gpat, glycerol-3-phosphate acyltransferase; Dgat1, diacylglycerol acyltransferase 1; RQ, respiratory quotient; Fas, fatty acid synthase; AdipoR2, adiponectin receptor 2; Cd36, fatty acid translocase, homologue of CD36; PUFA, polyunsaturated fatty acid; TG, triglycerides; CH, carbohydrate; DsbAL, disulfide-bond-A oxidoreductase-like protein; PC, principal component.