PDF(Pubmed)
Abstract：
BACKGROUND: Buffaloes have the highest potential for production due to a promising gene pool that is being enhanced and upgraded. Mastitis is a significant health impediment that greatly diminishes milk yield and quality, affecting rural farmers\' livelihoods. The traditional gold standard used for diagnosing mastitis or subclinical mastitis is CMT, but it has the drawback of false positive or negative results. Subclinical mastitis, if not treated promptly, can lead to mammary tumors. To address the gap in early diagnosis of subclinical mastitis in CMT-negative milk of buffaloes, we performed a retrospective analysis and evaluated the milk miRNA expression profiles as potential biomarkers.
RESULTS: Thirty buffalo milk samples based on clinical signs and CMT were divided into normal, subclinical, and clinical mastitis. SCC evaluation showed significant differences between the groups. The data analysis demonstrated that the elevation of miR-146a and miR-383 differed substantially between normal, subclinical, and clinical mastitis milk of buffaloes with 100% sensitivity and specificity. The relationship of SCC with miR-146a and miR-383 in normal/healthy and subclinical mastitis was positively correlated.
CONCLUSIONS: The overexpression of miR-146a and miR-383 is associated with inflammation. It can be a valuable prognostic and most sensitive biomarker for early mastitis detection in buffaloes with SCC below 2 lakhs and CMT-ve, enhancing the accuracy of subclinical mastitis diagnosis.
RESULTS: Thirty buffalo milk samples based on clinical signs and CMT were divided into normal, subclinical, and clinical mastitis. SCC evaluation showed significant differences between the groups. The data analysis demonstrated that the elevation of miR-146a and miR-383 differed substantially between normal, subclinical, and clinical mastitis milk of buffaloes with 100% sensitivity and specificity. The relationship of SCC with miR-146a and miR-383 in normal/healthy and subclinical mastitis was positively correlated.
CONCLUSIONS: The overexpression of miR-146a and miR-383 is associated with inflammation. It can be a valuable prognostic and most sensitive biomarker for early mastitis detection in buffaloes with SCC below 2 lakhs and CMT-ve, enhancing the accuracy of subclinical mastitis diagnosis.
摘要：
背景：由于正在增强和升级的有希望的基因库，水牛具有最高的生产潜力。乳腺炎是一种严重的健康障碍，会大大降低牛奶的产量和质量。影响农村农民的生计。用于诊断乳腺炎或亚临床乳腺炎的传统金标准是CMT，但它有假阳性或阴性结果的缺点。亚临床型乳腺炎,如果不及时治疗，会导致乳腺肿瘤.为了解决水牛CMT阴性乳中亚临床型乳腺炎早期诊断的差距，我们进行了回顾性分析,并评估了作为潜在生物标志物的乳miRNA表达谱.
结果：根据临床体征和CMT将30例水牛乳样本分为正常，亚临床，和临床乳腺炎。SCC评估显示两组之间存在显着差异。数据分析表明，miR-146a和miR-383的升高在正常，亚临床，水牛临床乳腺炎乳汁具有100%的敏感性和特异性。正常/健康和亚临床乳腺炎中SCC与miR-146a和miR-383的关系呈正相关。
结论：miR-146a和miR-383的过表达与炎症相关。对于SCC低于2lakhs和CMT-ve的水牛早期乳腺炎检测，它可以是有价值的预后和最敏感的生物标志物。提高亚临床乳腺炎诊断的准确性。
结果：根据临床体征和CMT将30例水牛乳样本分为正常，亚临床，和临床乳腺炎。SCC评估显示两组之间存在显着差异。数据分析表明，miR-146a和miR-383的升高在正常，亚临床，水牛临床乳腺炎乳汁具有100%的敏感性和特异性。正常/健康和亚临床乳腺炎中SCC与miR-146a和miR-383的关系呈正相关。
结论：miR-146a和miR-383的过表达与炎症相关。对于SCC低于2lakhs和CMT-ve的水牛早期乳腺炎检测，它可以是有价值的预后和最敏感的生物标志物。提高亚临床乳腺炎诊断的准确性。
