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鉴定与木质胸和白肌条相关的循环代谢物。

Identification of circulating metabolites associated with wooden breast and white striping.

机构信息

Center for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware, United States of America.

Department of Animal and Food Sciences, University of Delaware, Newark, Delaware, United States of America.

出版信息

PLoS One. 2022 Sep 26;17(9):e0274208. doi: 10.1371/journal.pone.0274208. eCollection 2022.

Abstract

Current diagnostic methods for wooden breast and white striping, common breast muscle myopathies of modern commercial broiler chickens, rely on subjective examinations of the pectoralis major muscle, time-consuming microscopy, or expensive imaging technologies. Further research on these disorders would benefit from more quantitative and objective measures of disease severity that can be used in live birds. To this end, we utilized untargeted metabolomics alongside two statistical approaches to evaluate plasma metabolites associated with wooden breast and white striping in 250 male commercial broiler chickens. First, mixed linear modeling was employed to identify metabolites with a significant association with these muscle disorders and found 98 metabolites associated with wooden breast and 44 metabolites associated with white striping (q-value < 0.05). Second, a support vector machine was constructed using stepwise feature selection to determine the smallest subset of metabolites with the highest categorization accuracy for wooden breast. The final support vector machine achieved 94% accuracy using only 6 metabolites. The metabolite 3-methylhistidine, which is often used as an index of myofibrillar breakdown in skeletal muscle, was the top metabolite for both wooden breast and white striping in our mixed linear model and was also the metabolite with highest marginal prediction accuracy (82%) for wooden breast in our support vector machine. Overall, this study identified a candidate set of metabolites for an objective measure of wooden breast or white striping severity in live birds and expanded our understanding of these muscle disorders.

摘要

目前用于诊断现代商业肉鸡的鸡胸肉肌病和白条病(常见的胸肌肌病)的方法依赖于对胸大肌的主观检查、耗时的显微镜检查或昂贵的成像技术。进一步研究这些疾病将受益于更定量和客观的疾病严重程度衡量标准,这些标准可用于活禽。为此,我们使用非靶向代谢组学以及两种统计方法,评估了与 250 只雄性商业肉鸡的鸡胸肉和白条病相关的血浆代谢物。首先,混合线性模型用于识别与这些肌肉疾病有显著关联的代谢物,发现与鸡胸肉相关的代谢物有 98 种,与白条病相关的代谢物有 44 种(q 值<0.05)。其次,使用逐步特征选择构建支持向量机,以确定用于鸡胸肉分类的最佳代谢物子集。最终的支持向量机仅使用 6 种代谢物即可达到 94%的准确率。代谢物 3-甲基组氨酸通常用作骨骼肌肌纤维分解的指标,在我们的混合线性模型中,它是鸡胸肉和白条病的首要代谢物,在我们的支持向量机中,它也是预测鸡胸肉的最高边际准确率(82%)的代谢物。总的来说,这项研究确定了一组候选代谢物,可用于活体禽类中鸡胸肉或白条病严重程度的客观衡量标准,并扩展了我们对这些肌肉疾病的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9eea/9512222/2a4ebef0225d/pone.0274208.g003.jpg

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