RESUMEN
BACKGROUND: The second half of the first pregnancy is a critical period in the growth and development of the mammary gland. The use of functional compounds during this period may positively impact livestock performance. OBJECTIVES: In this study, changes in lipogenic enzyme gene expression in the mammary gland of Saanen goats in response to different dietary fat sources were analysed. METHODS: Goats from four groups (10 each) received these diets from the last two months of pregnancy through four months of lactation: C-, no added fat (negative control group), C+, with saturated palm oil (positive control group), SB, with roasted soybeans (omega-6 group) and FS, with extruded flaxseed (omega-3 group). The fat content was about 4% of dry matter. Milk yield, milk fatty acid profile, milk health index (HI) and gene expression of four lipogenic enzymes in mammary tissue were measured. RESULTS: The FS group had significantly higher milk production with lower omega-6 to omega-3, monounsaturated to polyunsaturated, and total saturated fatty acids compared to other groups. The shorter and longer than16-carbon chain of total milk fatty acid indicates significantly higher values for the C- and C+ groups, respectively. The milk HI for the SB group was significantly higher. The gene expression profile for acetyl-coenzyme A carboxylase was higher in the C- group than other experimental groups. CONCLUSIONS: The results show that manipulation of the diet with unsaturated fat supplements improved milk production, synthesis of milk fat and molecular expression of lipogenic enzymes in mammary tissue in primiparous Saanen goats.
Asunto(s)
Grasas de la Dieta , Transcriptoma , Femenino , Animales , Grasas de la Dieta/metabolismo , Suplementos Dietéticos , Ácidos Grasos/metabolismo , Cabras/fisiologíaRESUMEN
A chiral biosensing platform was developed using betamethasone (BMZ) as chiral recognition element through multilayered electrochemical deposition of BMZ, overoxidized polypyrrole, and nanosheets of graphene (OPPy-BMZ/GR), for enantio-recognition of mandelic acid (MA) enantiomers. The deposited film was characterized by scanning electron microscopy, differential pulse voltammetry, cyclic voltammetry, and electrochemical impedance spectroscopy. It was shown that the chiral sensing platform can discriminate R- and S-MA differential pulse voltammetry signals, at the voltages of 1.35 and 1.33 V (vs Ag/AgCl), respectively. To tackle the problem of highly overlapping peaks of these enantiomers, the partial least squares (PLS) regression and genetic algorithm-PLS (GA-PLS) were used for simultaneous quantification of MA enantiomers. Generally, variable selection by genetic algorithm provided an improvement in prediction results when compared to full-voltammogram PLS. Good analytical performances were obtained despite the inherent complexity of the simultaneous determination.