Cholesterol Content, Fatty Acid Profile and Health Lipid Indices in the Egg Yolk of Eggs from Hens at the End of the Laying Cycle, Following Alpha-Ketoglutarate Supplementation - PubMed (original) (raw)
Cholesterol Content, Fatty Acid Profile and Health Lipid Indices in the Egg Yolk of Eggs from Hens at the End of the Laying Cycle, Following Alpha-Ketoglutarate Supplementation
Ewa Tomaszewska et al. Foods. 2021.
Abstract
The current study aimed to assess the effects of dietary alpha-ketoglutarate (AKG) supplementation to laying hens on the fatty acid (FA) profile and cholesterol levels of the egg yolk at the end of production cycle. The experiment was performed on forty-eight Bovans Brown laying hens randomly assigned to either a control group (CONT) or a group supplemented with AKG. The CONT group was fed the basal diet, and the AKG group was fed the basal diet plus 1.0% AKG from the 31st until the 60th week of age, when FA profile, fat and cholesterol content of the egg yolks were determined. No significant changes in the cholesterol and total fat content of the egg yolks were observed. However, there were positive (the decrease in n-6 FA and the increase in MUFA), and negative (decrease in PUFA and n-3 FA, increase in TI and n-6/n-3 ratio) changes in FA profile following AKG supplementation. In conclusion, it was shown that dietary AKG after a 30-week long supplementation influence FA profile in egg yolk and its nutritional value.
Keywords: alpha-ketoglutarate; cholesterol; egg yolk; fatty acids.
Conflict of interest statement
The authors declare no conflict of interest.
Figures
Figure 1
Results of the principal component analysis (PCA) for partial sums of fatty acids (Σ SFA, Σ MUFA, Σ PUFA, Σ n-3, Σ n-6) of the yolk of eggs obtained from hens in the control group and from hens supplemented with 1.0% AKG during a 30-week experimental period (31st–60th week of age), determined at the end of study. (A) Correlation between all the original variables included in the PCA of the first two principal components (PC). Correlations greater than 0.5 (absolute value) are considered significant. (B) PCA bi-plot (loading plot) for the PC1 and PC2 components.
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