循环血清代谢物是泌乳奶牛剩余饲料摄入量的生物标志物和预测因子。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Dagnachew Hailemariam, Ghader Manafiazar, Christine Baes, Flavio Schenkel, Filippo Miglior, Paul Stothard, Graham Plastow
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引用次数: 0

摘要

本研究探讨了循环血清代谢物谱的潜力,以增加对泌乳期荷斯坦奶牛饲料效率生理学的理解,并确定生物标志物来预测剩余采食量(RFI)。比较高RFI奶牛(n = 20)和低RFI奶牛(n = 20)泌乳早期、中期和后期的血清代谢物谱。低RFI奶牛的P < 0.05
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Circulating serum metabolites as biomarkers and predictors of residual feed intake in lactating dairy cows.

Circulating serum metabolites as biomarkers and predictors of residual feed intake in lactating dairy cows.

Circulating serum metabolites as biomarkers and predictors of residual feed intake in lactating dairy cows.

Circulating serum metabolites as biomarkers and predictors of residual feed intake in lactating dairy cows.

This study explored the potential of circulatory serum metabolite profiles to increase understanding of the physiology of feed efficiency and identify biomarkers to predict residual feed intake (RFI) in lactating Holsteins. Serum metabolite profiles were compared in high (n = 20) and low RFI (n = 20) cows at early, mid, and late lactation stages. The low RFI cows had decreased (P < 0.05) concentrations of dodecanoylcarnitine, dodecenoylcarnitine, dodecanedioylcarnitine, tetradecanoylcarnitine, succinic acid, trimethylamine N-oxide, betaine, and increased concentrations of p-Hydroxyhippuric acid, hydroxysphingomyeline C16:1, phosphatidylcholine diacyl C40:6, and glutarylcarnitine at early lactation. A similar comparison at mid lactation stage showed altered serum concentrations of 26 metabolites that fall into the categories of acyl carnitines, glycerophospholipids, biogenic amines, amino acids, and organic acids. At late lactation, fewer sets of metabolites were significantly affected by RFI grouping. Receiver operator curve analyses identified p-Hydroxyhippuric acid as the top biomarker at early lactation and acetylornithine at mid and late lactation. Models based on sets of serum metabolites in early, mid, and late lactation stages predicted RFI with a validation coefficient of determination of 0.54, 0.68, and 0.64, respectively. This study demonstrated the potential of circulatory serum metabolites as biomarkers and predictors of RFI in lactating dairy cows.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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