Unveiling long-term prenatal nutrition biomarkers in beef cattle via multi-tissue and multi-OMICs analysis
This integrative multi-OMICs approach provided deeper insights than single-layer analyses, distinguishing nutritional groups and revealing tissue- and OMIC-specific patterns. These findings demonstrate the value of combining transcriptomic, metabolomic, and microbiome data to identify biomarkers linked to maternal nutrition in beef cattle.
Authors
- Guilherme Henrique Gebim Polizel (ORCID: https://orcid.org/0000-0002-8497-9898)
- Édison Furlan (ORCID: https://orcid.org/0000-0003-4619-4966)
- Arícia Christofaro Fernandes (ORCID: https://orcid.org/0000-0002-2106-7912)
- Germán Darío Ramírez-Zamudio (ORCID: https://orcid.org/0000-0002-4843-7653)
- Aline Veroneze de Mello (ORCID: https://orcid.org/0000-0002-1958-6916)
- Miguel Henrique de Almeida Santana (ORCID: https://orcid.org/0000-0002-9144-7697)
- Wellison J. S. Diniz (ORCID: https://orcid.org/0000-0003-1082-5535)
- Heidge Fukumasu (ORCID: https://orcid.org/0000-0002-3265-5090)
- Ángela Cánovas (ORCID: https://orcid.org/0000-0002-0036-0757)
Institutions
- Universidade de São Paulo (BR)
- University of Guelph (CA)
- Auburn University (US)
Publication Details
- Journal
- Metabolomics
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1007/s11306-025-02384-3
- Primary Topic
- Reproductive Physiology in Livestock
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Faculdade de Zootecnia e Engenharia de Alimentos, Universidade de São Paulo