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Increased plasma and milk short-chain acylcarnitine concentrations reflect systemic LPS response in mid-lactation dairy cows.
Xu, Wei; Grindler, Sandra; Dänicke, Sven; Frahm, Jana; Kenéz, Ákos; Huber, Korinna.
Afiliación
  • Xu W; Beijing Research Center of Intelligent Equipment for Agriculture, Beijing, People's Republic of China.
  • Grindler S; Faculty of Agricultural Sciences, Institute of Animal Science, University of Hohenheim, Stuttgart, Germany.
  • Dänicke S; Institute of Animal Nutrition, Federal Research Institute for Animal Health (Friedrich-Loeffler-Institute), Braunschweig, Germany.
  • Frahm J; Institute of Animal Nutrition, Federal Research Institute for Animal Health (Friedrich-Loeffler-Institute), Braunschweig, Germany.
  • Kenéz Á; Department of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong SAR, Hong Kong.
  • Huber K; Faculty of Agricultural Sciences, Institute of Animal Science, University of Hohenheim, Stuttgart, Germany.
Am J Physiol Regul Integr Comp Physiol ; 321(3): R429-R440, 2021 09 01.
Article en En | MEDLINE | ID: mdl-34318701
Lipopolysaccharides (LPS) challenge the metabolic integrity of high-yielding dairy cows, activating the immune system and altering energy metabolism. Fatty acid oxidation, a major energy-gaining pathway, can be improved by supplementary carnitine, facilitating the transport of fatty acids into mitochondria. The metabolic response to the LPS challenge could alter both the plasma and the milk metabolome. Plasma and milk samples collected from cows treated with (n = 27) or without (n = 27) dietary carnitine, before and after intravenous administration of LPS, were subjected to a targeted metabolomics analysis. Multivariate statistical analyses revealed that both plasma and milk metabolome changed in response to the LPS challenge in both the carnitine-supplemented and the control cows. Short-chain acylcarnitines (carbon chain length C2, C3, C4, and C5) and long-chain acylcarnitines (C14, C16, and C18) had the highest performance to indicate LPS response when testing the predictive power of single metabolites using receiver-operator characteristics (ROC) analysis. The maximum area under a ROC curve (AUC) was 0.93. Biogenic amines, including sarcosine, and amino acids such as glutamine and isoleucine had AUC > 0.80 indicating metabolic changes due to the LPS challenge. In summary, the metabolites involved in the LPS response were acylcarnitines C2 and C5, sarcosine, glutamine, and isoleucine in plasma, and acylcarnitines C4 and C5 in milk. The interrelationship of plasma and milk metabolome included correlation of acylcarnitines C2, C4, and C5 between plasma and milk.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Lactancia / Carnitina / Lipopolisacáridos / Leche Tipo de estudio: Prognostic_studies Idioma: En Revista: Am J Physiol Regul Integr Comp Physiol Año: 2021 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Lactancia / Carnitina / Lipopolisacáridos / Leche Tipo de estudio: Prognostic_studies Idioma: En Revista: Am J Physiol Regul Integr Comp Physiol Año: 2021 Tipo del documento: Article