Exploring oxidative stress, immunological and metabolic biomarkers in dairy cows with postpartum pyometra

• Published in: Reproduction in domestic animals 2024-04, Vol.59 (4), p.e14559-n/a
• Main Authors: El‐Deeb, Wael, Abdelghani, Mohammed A., Alhaider, Abdulrahman, Al‐Hammadi, Mohammed, Gomaa, Naglaa, Venugopala, Katharigatta, Fayez, Mahmoud
• Format: Article
• Language: English
• Subjects: Adiponectin; Animals; antioxidants; Bacteria; Biomarkers; Cattle; Cattle Diseases - microbiology; Dairy cattle; E coli; Female; Glutathione; Immunology; Infectious diseases; Leptin; Mixed infection; Neopterin; Oxidative Stress; Postpartum; Postpartum Period; pyometra; Pyometra - veterinary; Reproductive system; Superoxide dismutase
• ISSN: 0936-6768; 1439-0531; 1439-0531
• DOI: 10.1111/rda.14559

Pyometra is a prevalent and severe infectious disease that affects the reproductive systems of cattle worldwide. This study's main goal was to investigate the biomarkers for oxidative stress (OS), adiponectin, leptin and neopterin (NPT) in cows suffering from postpartum pyometra. The study also aimed to determine which bacteria were most commonly implicated in the development of the disease. A total of 74 cows with pyometra were examined and compared to a control group of healthy cows (n = 20). In comparison to the healthy control and post‐treatment groups, the pyometra group showed higher mean values of leptin, adiponectin and malondialdehyde (MDA). In contrast, the glutathione (GSH) and superoxide dismutase (SOD) mean values were lower in the pyometra group as compared to the post‐treatment and control groups. NPT levels in the post‐treatment groups were lower than those in cows with pyometra but comparable to the healthy control group (p > .05). When compared to the other biomarkers, NPT, leptin and adiponectin showed higher sensitivity and specificity in identifying pyometra cases (AUC ≥0.99). The predominant bacterial isolates from the ptomtra‐affected cows consisted of Escherichia coli (N = 29; 39.2%), Arcanobacterium pyogenes (N = 27; 36.5%) and Fusobacterium necrophorum (N = 13; 17.6%). Mixed infection was determined in nine samples (12.2%). Conclusively, OS, adiponectin, leptin and NPT play crucial roles in comprehending the development of postpartum pyometra in cows and have the potential to serve as biomarkers for the disease.