Evidence map›Paper›PMID 40431499›Full record

ArticleVeterinary sciences2025

Late Gestation Maternal Nutrition Has a Stronger Impact on Offspring Liver Transcriptome than Full-Gestation Supplementation in Beef Cattle.

Guilherme Henrique Gebim Polizel, Maria Elis Perissin Dos Santos, Aline Silva Mello Cesar, Wellison J S Diniz, German D Ramírez-Zamudio, Paulo Fantinato-Neto, Arícia Christofaro Fernandes, Barbara Carolina Teixeira Prati, Édison Furlan, Gabriela do Vale Pombo and 1 more

Abstract read
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Guilherme Henrique Gebim PolizelDepartment of Animal Science, Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga 13635-900, SP, Brazil.ORCID 0000-0002-8497-9898
Maria Elis Perissin Dos SantosDepartment of Animal Science, Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga 13635-900, SP, Brazil.
Aline Silva Mello CesarDepartment of Food Science and Technology, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Piracicaba 13418-900, SP, Brazil.ORCID 0000-0001-9921-214X
Wellison J S DinizDepartment of Animal Sciences, College of Agriculture, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0003-1082-5535
German D Ramírez-ZamudioDepartment of Animal Science, Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga 13635-900, SP, Brazil.ORCID 0000-0002-4843-7653
Paulo Fantinato-NetoÁPIS Serviços Veterinários LTDA, R. Marques de Tamandaré, 130, Jardim Elite, Pirassununga 13636-350, SP, Brazil.
Arícia Christofaro FernandesDepartment of Animal Science, Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga 13635-900, SP, Brazil.ORCID 0000-0002-2106-7912
Barbara Carolina Teixeira PratiDepartment of Animal Science, Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga 13635-900, SP, Brazil.ORCID 0009-0007-1277-5064
Édison FurlanDepartment of Animal Science, Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga 13635-900, SP, Brazil.ORCID 0000-0003-4619-4966
Gabriela do Vale PomboDepartment of Animal Science, Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga 13635-900, SP, Brazil.
Miguel Henrique de Almeida SantanaDepartment of Animal Science, Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga 13635-900, SP, Brazil.ORCID 0000-0002-9144-7697

Funding

National Council for Scientific and Technological Development (CNPq) 307593/2021-5São Paulo Research Foundation (FAPESP) 2017/12105-2São Paulo Research Foundation (FAPESP) 2021/03265-1
6 · The paper itself

Abstract

Maternal nutrition's impact on liver transcriptome in beef cattle offspring is still underexplored. We investigated the long-term effects of maternal nutrition strategies on the liver transcriptome of pre-slaughter Nelore bulls. Pregnant cows were divided into three groups, each receiving different nutritional regimens: NP (control, only mineral supplementation), PP (late gestation protein-energy supplementation), and FP (protein-energy supplementation throughout pregnancy). Liver samples were collected from male offspring aged 22.5 ± 1 months and analyzed using RNA-Seq (n = 5 per treatment). Principal component analysis (PCA) and differential gene expression analysis were carried out in an R statistical environment. Genes were considered significant when FDR < 0.05. The over-representation analysis (ORA) was performed using the clusterProfiler package from R. Metabolic pathways were considered significant when the Q-value < 0.1. The PCA showed overlapping clusters among the groups. We identified 16 differentially expressed genes (DEGs) associated with PP × NP contrast, four with FP × NP, and two with FP × PP. The ORA revealed two significant pathways (thiamine and butanoate metabolism). The identified genes and pathways were associated with vitamins, energy, oxidative metabolism, and immune function. This study emphasizes the more significant long-term effects of the PP treatment on the offspring's liver transcriptome compared to the FP treatment.

Indexed as

energy metabolismfetal programminggene expressionimmune systemthiamine metabolism

Identifiers

PMID40431499
PMCPMC12115941

What OpenQuestion holds

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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 OpenQuestion graph.