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Acute-phase proteins, oxidative stress biomarkers, proinflammatory cytokines, and cardiac troponin in Arabian mares affected with pyometra.
Abstract: New biomarkers are essential for diagnosis of pyometra in mares. In this context, 12 subfertile Arabian mares suffered from pyometra were admitted to the Veterinary Teaching Hospital. The basis for diagnosis of pyometra was positive findings of clinical examination and rectal palpation. Blood samples were collected from diseased animals and from five Arabian healthy mares, which were considered as control group. Acute-phase proteins (APP), oxidative stress biomarkers, proinflammatory cytokines, and cardiac troponin I were estimated in the harvested sera of both groups. Clinical examination revealed purulent yellowish fluid discharged from vagina of affected animals and rectal palpation of the reproductive tract revealed uterine distention. The biochemical analysis of the serum revealed significant increase in cardiac troponin I, creatin kinase, alkaline phosphatase, malondialdehyde, tumor necrosis factor α, interleukins 6, prostaglandin F2α, haptoglobin, and serum amyloid A and significant decrease in reduced glutathione, superoxide dismutase (SOD), total antioxidant capacity, and nitric oxide (NO) of mares affected with pyometra compare to control. Cardiac troponin I was positively correlated with aspartate aminotransferase, creatin kinase, malondialdehyde, alkaline phosphatase, tumor necrosis factor α, interleukins 6, prostaglandin F2α, haptoglobin and serum amyloid A and negatively correlated with glutathione, superoxide dismutase, total antioxidant capacity and nitric oxide in serum of mares affected with pyometra. Moreover, there was high positive correlation between proinflammatory cytokines and APP in serum of mares affected with pyometra. The present study suggests cardiac troponin I together with APP, proinflammatory cytokines, and oxidative stress parameters as biomarkers for pyometra in Arabian mares.
Copyright © 2016 Elsevier Inc. All rights reserved.
Publication Date: 2016-04-09 PubMed ID: 27177966DOI: 10.1016/j.theriogenology.2016.04.002Google Scholar: Lookup The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
Summary
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This study examines new biomarkers for diagnosing pyometra in Arabian mares by comparing blood samples of 12 subfertile mares with pyometra to 5 healthy mares. The researchers found significant changes in proinflammatory cytokines, acute-phase proteins (APP), and oxidative stress parameters, suggesting these could be used as biomarkers for pyometra in Arabian mares.
Objective and Methodology
- The study’s objective was to identify reliable biomarkers to diagnose pyometra, a condition of uterine infection, in Arabian mares. Biomarkers are biological properties that can be measured and evaluated as an indicator of biological or pathogenic processes, or pharmacologic responses.
- 12 subfertile Arabian mares were admitted to the Veterinary Teaching Hospital, showing pyometra symptoms and confirmed by clinical examination and rectal palpation. The blood samples were collected from these diseased animals for testing.
- A control group of five healthy Arabian mares was also used to draw a comparison with the test group. Their blood samples were also collected.
Diagnostic Tests & Findings
- The blood samples from both groups were examined for the presence of acute-phase proteins (APP), oxidative stress biomarkers, proinflammatory cytokines, and cardiac troponin I.
- The researchers found a significant increase in several substances in the blood of the pyometra-affected mares compared to the control group. This included cardiac troponin I, creatin kinase, alkaline phosphatase, malondialdehyde, tumor necrosis factor α, interleukins 6, prostaglandin F2α, haptoglobin, and serum amyloid A.
- Conversely, reduced glutathione, superoxide dismutase (SOD), total antioxidant capacity, and nitric oxide (NO) were found in significantly lower quantities in the pyometra group compared to the control group.
Correlations & Implications
- A positive correlation was also found between cardiac troponin I and sufferings from pyometra, suggesting it could be used as a biomarker for the condition.
- Negative correlations were found between glutathione, superoxide dismutase, total antioxidant capacity, nitric oxide, and pyometra, potentially suggesting these substances help protect the body from the disease.
- The researchers also found a strong positive correlation between proinflammatory cytokines and APP, indicating a relationship between the body’s immune response and pyometra.
- The findings of this study suggest that alongside cardiac troponin I, acute-phase proteins (APP), proinflammatory cytokines, and oxidative stress parameters could potentially serve as reliable biomarkers to diagnose pyometra in Arabian mares.
Cite This Article
APA
El-Bahr SM, El-Deeb WM.
(2016).
Acute-phase proteins, oxidative stress biomarkers, proinflammatory cytokines, and cardiac troponin in Arabian mares affected with pyometra.
Theriogenology, 86(4), 1132-1136.
https://doi.org/10.1016/j.theriogenology.2016.04.002 Publication
Researcher Affiliations
- Department of Physiology, Biochemistry and Pharmacology (Biochemistry), College of Veterinary Medicine and Animal Resources, King Faisal University, Al-Ahsa, Saudi Arabia; Department of Biochemistry, Faculty of Veterinary Medicine, Alexandria University, Alexandria, Egypt. Electronic address: sabryelbahr@hotmail.com.
- Department of Clinical studies, College of Veterinary Medicine and Animal Resources, King Faisal University, Al-Ahsa, Saudi Arabia; Department of Veterinary Medicine, Infectious Diseases and Fish Diseases, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt.
MeSH Terms
- Acute-Phase Proteins / metabolism
- Animals
- Biomarkers
- Cytokines / genetics
- Cytokines / metabolism
- Female
- Horse Diseases / blood
- Horse Diseases / diagnosis
- Horse Diseases / metabolism
- Horses
- Oxidative Stress / physiology
- Pyometra / blood
- Pyometra / diagnosis
- Pyometra / veterinary
- Troponin / blood
- Troponin / metabolism
Citations
This article has been cited 9 times.- Amin YA, Ali RA, Fouad SS, Ibrahim RM. The deleterious effect of postpartum pyometra on the reproductive indices, the metabolic profile, and oxidant/antioxidant parameters of dairy cows. Vet World 2021 Feb;14(2):329-338.
- Filho RRDR, Brito MM, Faustino TG, Almeida LL, Gardés TP, Leite RF, Vannucchi CI. Clinical Changes and Uterine Hemodynamic in Pyometra Medically Treated Bitches. Animals (Basel) 2020 Oct 31;10(11).
- Long A, Nolen-Walston R. Equine Inflammatory Markers in the Twenty-First Century: A Focus on Serum Amyloid A. Vet Clin North Am Equine Pract 2020 Apr;36(1):147-160.
- Witkowska-Piłaszewicz OD, Żmigrodzka M, Winnicka A, Miśkiewicz A, Strzelec K, Cywińska A. Serum amyloid A in equine health and disease. Equine Vet J 2019 May;51(3):293-298.
- Kenéz Á, Warnken T, Feige K, Huber K. Lower plasma trans-4-hydroxyproline and methionine sulfoxide levels are associated with insulin dysregulation in horses. BMC Vet Res 2018 May 2;14(1):146.
- Hosnedlova B, Kepinska M, Skalickova S, Fernandez C, Ruttkay-Nedecky B, Malevu TD, Sochor J, Baron M, Melcova M, Zidkova J, Kizek R. A Summary of New Findings on the Biological Effects of Selenium in Selected Animal Species-A Critical Review. Int J Mol Sci 2017 Oct 21;18(10).
- Mirzaei A, Hajimohammadi A. Diagnostic performance of specific oxidative stress biomarkers, acute phase proteins, and certain trace elements in different severities of equine colic. J Equine Sci 2025 Jun;36(2):45-54.
- Nascimento AEJ, Santos LC, Silva JF. Molecular Factors Involved in the Pathogenesis of Pyometra in Domestic Cats (Felis catus). Animals (Basel) 2024 Oct 16;14(20).
- Hajimohammadi A, Ghane M, Ghari Tehrani M, Paravar B, Mirzaei A, Razavi S, Nikzad M. Association of the severity of colic in horses with oxidative stress biomarkers, acute-phase proteins, and certain trace elements. J Equine Sci 2023 Sep;34(3):73-81.
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