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

Author:

El‐Deeb Wael12,Abdelghani Mohammed A.13,Alhaider Abdulrahman1,Al‐Hammadi Mohammed4,Gomaa Naglaa1,Venugopala Katharigatta56,Fayez Mahmoud7

Affiliation:

1. Department of Clinical Sciences, College of Veterinary Medicine King Faisal University Al‐Ahsa Saudi Arabia

2. Department of Internal Medicine and Infectious Diseases, Faculty of Veterinary Medicine Mansoura University Mansoura Egypt

3. Department of Theriogenology, Faculty of Veterinary Medicine Assuit University Assuit Egypt

4. Department of Microbiology, College of Veterinary Medicine King Faisal University Al‐Hasa Saudi Arabia

5. Department of Pharmaceutical Sciences, College of Clinical Pharmacy King Faisal University Al‐Ahsa Saudi Arabia

6. Department of Biotechnology and Food Science, Faculty of Applied Sciences Durban University of Technology Durban South Africa

7. Department of Bacteriology, Veterinary Serum and Vaccine Research Institute Ministry of Agriculture Cairo Egypt

Abstract

AbstractPyometra 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.

Funder

King Faisal University

Publisher

Wiley

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