Metabolomics Changes in Meat and Subcutaneous Fat of Male Cattle Submitted to Fetal Programming
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Published:2023-12-22
Issue:1
Volume:14
Page:9
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ISSN:2218-1989
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Container-title:Metabolites
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language:en
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Short-container-title:Metabolites
Author:
Fernandes Arícia Christofaro1ORCID, Polizel Guilherme Henrique Gebim1ORCID, Cracco Roberta Cavalcante1, Cançado Fernando Augusto Correia Queiroz1, Baldin Geovana Camila1ORCID, Poleti Mirele Daiana2ORCID, Ferraz José Bento Sterman2, Santana Miguel Henrique de Almeida1ORCID
Affiliation:
1. Department of Animal Science, College of Animal Science and Food Engineering, University of São Paulo (USP), Av. Duque de Caxias Norte, 225, Pirassununga 13635-900, SP, Brazil 2. Department of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of São Paulo (USP), Av. Duque de Caxias Norte, 225, Pirassununga 13635-900, SP, Brazil
Abstract
This study investigated changes in meat and subcutaneous fat metabolomes and possible metabolic pathways related to prenatal nutrition in beef cattle. For this purpose, 18 Nellore bulls were used for meat sampling and 15 for fat sampling. The nutritional treatments during the gestation were: NP—not programmed or control, without protein-energy supplementation; PP—partially programmed, with protein-energy supplementation (0.3% of body weight (BW)) only in the final third of pregnancy; and FP—full programming, with protein-energy supplementation (0.3% of BW) during the entire pregnancy. The meat and fat samples were collected individually 24 h after slaughter, and the metabolites were extracted using a combination of chemical reagents and mechanical processes and subsequently quantified using liquid chromatography or flow injection coupled to mass spectrometry. The data obtained were submitted to principal component analysis (PCA), analysis of variance (ANOVA), and functional enrichment analysis, with a significance level of 5%. The PCA showed an overlap between the treatments for both meat and fat. In meat, 25 metabolites were statistically different between treatments (p ≤ 0.05), belonging to four classes (glycerophospholipids, amino acids, sphingolipids, and biogenic amine). In fat, 10 significant metabolites (p ≤ 0.05) were obtained in two classes (phosphatidylcholine and lysophosphatidylcholine). The functional enrichment analysis showed alterations in the aminoacyl-tRNA pathway in meat (p = 0.030); however, there was no pathway enriched for fat. Fetal programming influenced the meat and fat metabolomes and the aminoacyl-tRNA metabolic pathway, which is an important candidate for the biological process linked to meat quality and related to fetal programming in beef cattle.
Funder
São Paulo Research Foundation National Council for Scientific and Technological Development
Subject
Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism
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