Evidence map›Paper›PMID 41359195›Full record

ArticleTropical animal health and production2025

Fecal metabolome in Nelore bulls fed pre- and post-feedlot diets.

Matheus Henrique Vargas de Oliveira, Jessica Moraes Malheiros, Viviane Andrade Ligori, Pollyana Ferreira da Silva, Richard Vaquero Ribeiro, Pablo Dominguez-Castaño, Maria Carolina Carrera Zerbini, Pedro Henrique de Melo Garcia, Juliana Varchaki Portes, André Michel de Castilho and 2 more

Abstract read
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Article in Tropical animal health and production, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Matheus Henrique Vargas de OliveiraSchool of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil.
Jessica Moraes MalheirosBeef Cattle Research Center, Animal Science Institute (IZ), Sertãozinho, São Paulo, Brazil. jehmalheiros@gmail.com.ORCID http://orcid.org/0000-0002-9255-0733
Viviane Andrade LigoriSchool of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-1671-3841
Pollyana Ferreira da SilvaInstitute of Chemistry, University of São Paulo (USP), São Carlos, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-9206-4962
Richard Vaquero RibeiroSchool of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-6999-5291
Pablo Dominguez-CastañoFundación Universitaria Agraria de Colombia (UNIAGRARIA), Bogotá, Colombia.ORCID http://orcid.org/0000-0002-5675-7702
Maria Carolina Carrera ZerbiniSchool of Agricultural Sciences, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Pedro Henrique de Melo GarciaSchool of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Juliana Varchaki PortesDepartamento f Animal Science, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.ORCID http://orcid.org/0000-0002-2673-7639
André Michel de CastilhoSchool of Veterinary Medicine and Animal Science, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-2717-314X
Luiz Alberto ColnagoEmbrapa Instrumentation (EMBRAPA), São Carlos, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-9516-9022
Josineudson Augusto Ii de Vasconcelos SilvaSchool of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-0049-1546

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/50339-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/12669-1
6 · The paper itself

Abstract

Nutrition is a critical factor in feedlot systems, directly influencing animal growth and production efficiency. Moreover, dietary variations, particularly the transition from fibrous to non-fibrous carbohydrates, can significantly alter metabolic processes. Metabolomics can elucidate how dietary shifts influence bovine performance, offering valuable insights that could optimize feeding strategies. The aim of this study was to identify and quantify fecal metabolites in Nelore bulls (Bos taurus indicus) subjected to different diets during the pre- and post-feedlot. Thus, 21 Nelore bulls were subjected to a diet rich in fibrous carbohydrates in the pre-feedlot phase. Subsequently, these animals were fed a diet rich in non-fibrous carbohydrates in the post-feedlot phase. Fecal samples were collected directly from the rectal ampulla of each bovine at the end of each phase. The fecal metabolites were extracted, and their spectra were obtained through Hydrogen Nuclear Magnetic Resonance (1H NMR) analysis. A total of 63 metabolites were detected across all samples, with 57 present in the pre-feedlot and 55 in the post-feedlot phase, reflecting diet-specific metabolic signatures. Eight metabolites were exclusively identified in the pre-feedlot phase (caprylate, fumarate, desaminotyrosine, gamma-glutamyl phenylalanine, 2-phenylpropionate, NADH, thymidine, and pantothenate), while six compounds were present only in the post-feedlot phase (acetamide, 2-oxoglutarate, uracil, xanthine, trimethylamine, and dimethyl sulfone). The major metabolites, including acetate, propionate, butyrate, ethanol, valerate, isobutyrate, glucose and isovalerate, showed the highest concentrations in both pre- and post-feedlot phases and together represented around 93% of the total fecal metabolite’s concentration. Forty metabolites showed differential abundance between the experimental groups (P ≤ 0.05). Multivariate analyses, including PCA and PLS-DA, confirmed clear separation of the fecal metabolome between phases and highlighted acetate, propionate, and butyrate as key contributors to variance. Additionally, six pathways exhibited an impact value greater than 0.2 and P ≤ 0.05, being: (1) phenylalanine, tyrosine, and tryptophan biosynthesis; (2) glycine, serine, and threonine metabolism; (3) pyruvate metabolism; (4) glycerolipid metabolism; (5) citrate cycle (TCA cycle); (6) histidine metabolism. These results demonstrate that the diets provided during pre- and post-feedlot phases influenced the fecal metabolome of Nelore cattle, altering metabolite concentrations and associated metabolic pathways. These changes highlight potential biomarkers for nutritional interventions aimed at optimizing performance.

Indexed as

Animal FeedDietFecesMetabolomeAnimal Nutritional Physiological PhenomenaAnimalsCattleDietary CarbohydratesMaleDietary CarbohydratesBiomarkersBos taurus indicusFibrous carbohydratesMetabolitesNon-fibrous carbohydrates

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.