Evidence map›Paper›PMID 39532951›Full record

ArticleScientific reports2024

Liver transcriptomics-metabolomics integration reveals biological pathways associated with fetal programming in beef cattle.

Guilherme Henrique Gebim Polizel, Simara Larissa Fanalli, Wellison J S Diniz, Aline Silva Mello Cesar, Nara Regina Brandão Cônsolo, Heidge Fukumasu, Angela Cánovas, Arícia Christofaro Fernandes, Barbara Carolina Teixeira Prati, Édison Furlan and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  7. Systems Pharmacology and Multi-Omics Elucidation ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
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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

12 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. guilherme.polizel@usp.br.
Simara Larissa FanalliDepartment 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.
Wellison J S DinizDepartment of Animal Sciences, College of Agriculture, Auburn University, Auburn, AL, 36849, USA.
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.
Nara Regina Brandão CônsoloDepartment of Nutrition and Animal Production, Faculty of Veterinary Medicine and Animal Science, University of São Paulo, Av. Duque de Caxias Norte, 255, 13635- 900, Pirassununga, SP, Brazil.
Heidge FukumasuDepartment of Veterinary Medicine, Faculty of Animal Science and Food Engineering, University of São Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, 13635-900, SP, Brazil.
Angela CánovasDepartment of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, ON, Canada.
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.
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.
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.
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.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/12105-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/03265-1
6 · The paper itself

Abstract

We investigated the long-term effects of prenatal nutrition on pre-slaughter Nelore bulls using integrative transcriptome and metabolome analyses of liver tissue. Three prenatal nutritional treatments were administered to 126 cows: NP (control, mineral supplementation only), PP (protein-energy supplementation in the third trimester), and FP (protein-energy supplementation throughout pregnancy). Liver samples from 22.5 ± 1-month-old bulls underwent RNA-Seq and targeted metabolomics. Weighted correlation network analysis (WGCNA) identified treatment-associated gene and metabolite co-expression modules, further analyzed using MetaboAnalyst 6.0 (metabolite over-representation analysis and transcriptome-metabolome integrative analysis) and Enrichr (gene over-representation analysis). We identified several significant gene and metabolite modules, as well as hub components associated with energy, protein and oxidative metabolism, regulatory mechanisms, epigenetics, and immune function. The NP transcriptome-metabolome analysis identified key pathways (aminoacyl t-RNA biosynthesis, gluconeogenesis, and PPAR signaling) and hub components (glutamic acid, SLC6A14). PP highlighted pathways (arginine and proline metabolism, TGF-beta signaling, glyoxylate and dicarboxylate metabolism) with arginine and ODC1 as hub components. This study highlights the significant impact of prenatal nutrition on the liver tissue of Nelore bulls, shedding light on critical metabolic pathways and hub components related to energy and protein metabolism, as well as immune system and epigenetics.

Indexed as

Fetal DevelopmentLiverMetabolomicsTranscriptomeAnimalsCattleDietary SupplementsFemaleGene Expression ProfilingMaleMetabolic Networks and PathwaysMetabolomePregnancyMaternal nutritionMetabolitesRNA-seqSystems biologyWGCNA

Identifiers

PMID39532951
PMCPMC11557885

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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.