Saliva as a Potential Source of Biomarkers in Cows with Metritis: A Pilot Study.

IF 2 2区 农林科学 Q2 VETERINARY SCIENCES Veterinary Sciences Pub Date : 2024-09-21 DOI:10.3390/vetsci11090446
Pedro J Vallejo-Mateo, María D Contreras-Aguilar, Alberto Muñoz-Prieto, María Botia, Asta Tvarijonaviciute, Camila Peres Rubio, Rasa Zelvyte, José J Cerón, Lorena Franco-Martínez
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Abstract

Metritis affects 5-20% of cows after parturition, negatively impacting animal welfare and the profitability of dairy farms, increasing culling rates and costs, and decreasing productivity and reproduction rates. This study compared the results of a comprehensive biochemical panel consisting of 25 salivary and 31 serum analytes between healthy cows (n = 16) and cows with metritis (n = 12). Descriptive parameters such as depression, rectal temperature, body condition score (BCS), heart rate, respiratory rate, mucous color, ruminal motility, vaginal discharge, milk production, and complete hematology analyses were also assessed for comparative purposes. The biochemistry analytes comprised five analytes related to stress, five to inflammation, five to oxidative status, and nineteen to general metabolism. The two-way ANOVA analysis revealed that, in saliva, eight biomarkers (lipase, adenosine deaminase (ADA), haptoglobin (Hp), total proteins, g-glutamyl transferase (gGT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), and creatine kinase (CK)) were significant higher in cows with metritis. In serum, eight biomarkers (ADA, Hp, serum amyloid A (SAA), fibrinogen, ferritin, AOPPs/albumin ratio, non-esterified fatty acids (NEFAs), and bilirubin) were significantly higher in cows with metritis, whereas six (total esterase (TEA), albumin, urea, lactate, phosphorus, and calcium) were lower. Of the total number of 23 biomarkers that were measured in both saliva and serum, significant positive correlations between the two biofluids were found for six of them (Hp, FRAP, CUPRAC, AOPPs, urea, and phosphorus). Urea showed an R = 0.7, and the correlations of the other analytes were weak (R < 0.4). In conclusion, cows with metritis exhibited differences in biomarkers of stress, inflammation, cellular immune system, and general metabolism in both salivary and serum biochemistry profiles. These changes were of different magnitudes in the two biofluids. In addition, with the exception of ADA and Hp, the analytes that showed changes in the saliva and serum profiles of cows affected by metritis were different. Overall, this report opens a new window for the use of saliva as potential source of biomarkers in cows with metritis.

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将唾液作为患有 Metritis 的奶牛的潜在生物标志物来源:一项试点研究
5%-20%的奶牛在产后会患上元气大伤,对动物福利和奶牛场的盈利能力产生负面影响,增加淘汰率和成本,降低生产率和繁殖率。本研究比较了健康奶牛(16 头)和患有元气大伤的奶牛(12 头)的 25 种唾液和 31 种血清分析物的综合生化分析结果。为便于比较,还对抑郁、直肠温度、体况评分(BCS)、心率、呼吸频率、粘液颜色、瘤胃蠕动、阴道分泌物、产奶量等描述性参数以及全血细胞分析进行了评估。生化分析包括与应激有关的五项分析、与炎症有关的五项分析、与氧化状态有关的五项分析和与一般代谢有关的十九项分析。双向方差分析显示,在唾液中,患有甲沟炎的奶牛的八种生物标记物(脂肪酶、腺苷脱氨酶(ADA)、血红蛋白(Hp)、总蛋白、谷氨酰转移酶(gGT)、天门冬氨酸氨基转移酶(AST)、碱性磷酸酶(ALP)和肌酸激酶(CK))显著升高。在血清中,有8种生物标志物(ADA、Hp、血清淀粉样蛋白A(SAA)、纤维蛋白原、铁蛋白、AOPPs/白蛋白比值、非酯化脂肪酸(NEFAs)和胆红素)在患甲炎的奶牛中明显升高,而有6种生物标志物(总酯酶(TEA)、白蛋白、尿素、乳酸盐、磷和钙)在患甲炎的奶牛中降低。在唾液和血清中测定的 23 种生物标志物中,有 6 种(Hp、FRAP、CUPRAC、AOPPs、尿素和磷)在两种生物流体之间存在显著的正相关性。尿素的 R = 0.7,其他分析物的相关性较弱(R < 0.4)。总之,患有元气大伤的奶牛在唾液和血清生化指标中的应激、炎症、细胞免疫系统和一般代谢的生物标志物方面表现出差异。这些变化在两种生物流体中的程度不同。此外,除了 ADA 和 Hp 外,受元气淋巴结炎影响的奶牛唾液和血清中的分析物也发生了变化。总之,本报告为将唾液作为患有甲形炎的奶牛的潜在生物标志物来源打开了一扇新窗口。
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来源期刊
Veterinary Sciences
Veterinary Sciences VETERINARY SCIENCES-
CiteScore
2.90
自引率
8.30%
发文量
612
审稿时长
6 weeks
期刊介绍: Veterinary Sciences is an international and interdisciplinary scholarly open access journal. It publishes original that are relevant to any field of veterinary sciences, including prevention, diagnosis and treatment of disease, disorder and injury in animals. This journal covers almost all topics related to animal health and veterinary medicine. Research fields of interest include but are not limited to: anaesthesiology anatomy bacteriology biochemistry cardiology dentistry dermatology embryology endocrinology epidemiology genetics histology immunology microbiology molecular biology mycology neurobiology oncology ophthalmology parasitology pathology pharmacology physiology radiology surgery theriogenology toxicology virology.
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