A systematic review of predictive, diagnostic, and prognostic biomarkers for detecting reproductive diseases in cattle using traditional and omics approaches

J Reprod Immunol. 2024 Sep:165:104315. doi: 10.1016/j.jri.2024.104315. Epub 2024 Aug 12.

Abstract

Reproductive diseases and illnesses pose significant challenges in cattle farming, affecting fertility, milk production, and overall herd health. In recent years, the integration of various omics approaches, including transcriptomics, proteomics, metagenomics, miRNAomics, and metabolomics, has revolutionized the study of these conditions. This systematic review summarised the findings from studies that investigated reproductive disease biomarkers in both male and female cattle. After extracting 6137 studies according to exclusion and inclusion criteria, a total of 60 studies were included in this review. All studies identified were associated with female cattle and none were related to reproductive diseases in bulls. The analysis highlights specific biomarkers, metabolic pathways, and microbial compositions associated with bovine reproductive disease conditions, providing valuable insights into the underlying molecular mechanisms of disease. Pro-inflammatory cytokines such as IL-1β, IL-8, IL-4, IL-6, TNFα and acute-phase response proteins such as SAA and HP have been identified as promising biomarkers for bovine reproductive diseases. However, further research is needed to validate these markers clinically and to explore potential strategies for improving cow reproductive health. The role of bulls as carriers of venereal diseases has been underestimated in the current literature and therefore needs more attention to understand their impact on infectious reproductive diseases of female cattle.

Keywords: Biomarker; Bull; Cattle; Omics; Reproductive diseases.

Publication types

  • Systematic Review

MeSH terms

  • Animals
  • Biomarkers* / analysis
  • Biomarkers* / metabolism
  • Cattle
  • Cattle Diseases* / diagnosis
  • Cattle Diseases* / immunology
  • Cytokines / analysis
  • Cytokines / metabolism
  • Female
  • Male
  • Metabolomics / methods
  • Prognosis
  • Proteomics / methods
  • Reproduction / immunology

Substances

  • Biomarkers
  • Cytokines