MiRNAs in milk can be used towards early prediction of mammary gland inflammation in cattle.
MiRNAs in milk can be used towards early prediction of mammary gland inflammation in cattle.
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DOI：
10.1038/s41598-022-09214-9
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发表时间：
2022-03-24
影响因子：
4.6
通讯作者：
Donadeu FX
中科院分区：
文献类型：
--
作者：
Tzelos T;Ho W;Charmana VI;Lee S;Donadeu FX
考虑到早期疾病检测对于减少全球牛乳腺炎对经济和动物福利的巨大影响的重要性，迫切需要改进的工具来准确检测早期乳腺炎症。 miRNA 已被证明作为疾病生物标志物的价值，然而，它们准确检测早期乳腺炎症的潜力尚未得到详细研究。为了解决这个问题，我们研究了四种炎症相关 miRNA（bta-miR-26a、bta-miR-142-5p、bta-miR-146a 和 bta-miR-223）水平与从不同泌乳期（1 至 4）奶牛收集的大量单独四分之一牛奶样本（n = 236）中获得的 CMT 评分（0 至 3）之间的关联。初步分析（n = 21个样本）证实，全脂牛奶中bta-miR-142-5p、bta-miR-146a和bta-miR-223的水平与乳细胞中已知炎症标志物（HP、TNF、CXCL8和IL1B）的mRNA水平显着相关（Rho ≥ 0.49，P < 0.005）。随后的分析（n = 215个样本）显示，CMT评分对分析的四种miRNA均具有显着影响（P < 0.0001），其特征是随着CMT评分从0增加到 > 1，牛奶中的miRNA水平逐渐增加。此外，泌乳次数对bta-miR-26a有显着影响（P < 0.01）， bta-miR-142-5p 和 bta-miR-146a 归因于哺乳期 1 期间的 miRNA 水平高于哺乳期后期。最后，通过生成 ROC 曲线，我们表明 bta-miR-223 和 bta-miR-142-5p 水平可以高度准确地识别单个四分之一牛奶样本 (CMT1) 的早期炎症变化（100% 敏感性， > 81% 特异性）。我们的结果为 miRNA 作为牛乳腺炎早期诊断生物标志物的价值提供了新的证据。
Considering the importance of early disease detection for reducing the huge financial and animal welfare impact of bovine mastitis globally, improved tools are urgently needed that can accurately detect early mammary inflammation. MiRNAs have demonstrated value as disease biomarkers, however, their potential for accurately detecting early mammary inflammation has not been examined in detail. To address this, we investigated the association between levels of four inflammation-associated miRNAs (bta-miR-26a, bta-miR-142-5p, bta-miR-146a and bta-miR-223) and CMT scores (0 to 3) obtained from a large number of individual quarter milk samples (n = 236) collected from dairy cows at different lactations (1 to 4). Initial analyses (n = 21 samples) confirmed that the levels of each of bta-miR-142-5p, bta-miR-146a and bta-miR-223 in whole milk were significantly correlated with mRNA levels of known inflammatory markers (HP, TNF, CXCL8 and IL1B) in milk cells (Rho ≥ 0.49, P < 0.005). Subsequent analyses (n = 215 samples) revealed a significant effect of CMT score on each of the four miRNAs analysed (P < 0.0001), characterised by a progressive increase in miRNA levels in milk as CMT score increase from 0 to > 1. Moreover, a significant effect of lactation number (P < 0.01) for bta-miR-26a, bta-miR-142-5p and bta-miR-146a was attributed to higher miRNA levels during lactation 1 than later lactations. Finally, by generating ROC curves we showed that bta-miR-223 and bta-miR-142-5p levels could identify early inflammatory changes in individual quarter milk samples (CMT1) with high accuracy (100% sensitivity, > 81% specificity). Our results provide novel proof of the value of miRNAs as early diagnostic biomarkers of bovine mastitis.
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影响因子：
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作者：
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期刊：
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影响因子：
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