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Non-targeted metabolomics identifies biomarkers in milk with high and low milk fat percentage.
Feng, Xiaofang; Ma, Ruoshuang; Wang, Ying; Tong, Lijia; Wen, Wan; Mu, Tong; Tian, Jia; Yu, Baojun; Gu, Yaling; Zhang, Juan.
Afiliación
  • Feng X; College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
  • Ma R; College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
  • Wang Y; College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
  • Tong L; College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
  • Wen W; Animal Husbandry Extension Station, Yinchuan, China.
  • Mu T; School of Life Science, Yan'an University, Yanan 716000, China.
  • Tian J; Animal Husbandry Extension Station, Yinchuan, China.
  • Yu B; College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
  • Gu Y; College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China.
  • Zhang J; College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China. Electronic address: zhangjuannxy@nxu.edu.cn.
Food Res Int ; 179: 113989, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38342531
ABSTRACT
Milk is widely recognized as an important food source with health benefits. Different consumer groups have different requirements for the content and proportion of milk fat; therefore, it is necessary to investigate the differential metabolites and their regulatory mechanisms in milk with high and low milk fat percentages (MFP). In this study, untargeted metabolomics was performed on milk samples from 13 cows with high milk fat percentage (HF) and 13 cows with low milk fat percentage (LF) using ultra-high performance liquid chromatography coupled with mass spectrometry (UHPLC-MS/MS). Forty-eight potential differentially labeled compounds were screened using the orthogonal partial least squares-discriminant analysis (OPLS-DA) combined with the weighted gene co-expression network analysis (WGCNA) method. Amino acid metabolism was the key metabolic pathway with significant enrichment of L-histidine, 5-oxoproline, L-aspartic acid, and L-glutamic acid. The negative correlation with MFP differentiated the HF and LF groups. To further determine the potential regulatory role of these amino acids on milk fat metabolism, the expression levels of marker genes in the milk fat synthesis pathway were explored. It was noticed that L-histidine reduced milk fat concentration primarily by inhibiting the triglycerides (TAG) synthesis pathway. L-aspartic acid and L-glutamic acid inhibited milk fat synthesis through the fatty acid de novo and TAG synthesis pathways. This study provides new insights into the mechanism underlying milk fat synthesis and milk quality improvement.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Leche / Espectrometría de Masas en Tándem Límite: Animals Idioma: En Revista: Food Res Int Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Canadá
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Leche / Espectrometría de Masas en Tándem Límite: Animals Idioma: En Revista: Food Res Int Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Canadá