Gene expression profiling of bovine raw milk is linked to the inflammatory status of the udder

Read the full article See related articles

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Inflammation of the mammary gland, or mastitis, is a common disease of dairy cows with important consequences on the economy of dairy farms, well-being of cows and antibiotic usage. Monitoring of the inflammatory status of mammary gland currently relies on milk somatic cell counting. In order to improve this monitoring, methods aiming at differentiating cell types among milk cells are being developed. The objective of the present study was to explore the use of gene expression profiling from raw milk samples to define the inflammatory status of udder quarters. A pilot study allowed us to select 37 genes among 95 whose expression were associated with one of three milk cell types, i.e. neutrophils, macrophages or T lymphocytes, purified by cell sorting. Based on expression data measured by RT-qPCR for these genes, we were able to identify four different types of milk samples, each with specific properties. One cluster was characterized by increased expression of genes typifying neutrophils, a second one was identified by increased expression of genes typifying macrophages while the two others were distinguished based on the expression of genes associated with T lymphocytes. Clustering of samples based on gene expression was shown to be comparable to that obtained by flow cytometry analysis. Our results highlight the potential of profiling of milk samples based on gene expression for the analysis of the inflammatory status of udders.

Implications

Inflammation of the mammary gland, or mastitis, is a common disease of dairy cows with important consequences on the economy of dairy farms, well-being of cows and antibiotic usage. Improved profiling of the inflammatory status of udders is important in modern farm management. We propose a precise monitoring of the inflammatory status based on gene expression profiling from raw milk. Milk samples are classified in four clusters that differ in terms of cell composition. The method will help the identification of new on-farm criteria for precise monitoring of inflammatory status at the udder quarter level.

Article activity feed