Industries in Depth

A faster way to detect TB in cows

Cows look on during feeding. Image: REUTERS/Eduard Korniyenko

Lindsay Brooke
Media Relations Manager, Nottingham University

A new inexpensive test can detect the bacterium (Mycobacterium bovis) that causes bovine tuberculosis (bTB) in cattle.

“This test delivers results within 48 hours and the frequency in which viable mycobacteria were detected in the blood of skin test positive animals changes the paradigm of this disease,” says Cath Rees, an expert in microbiology at the University of Nottingham who led the team.

The UK has struggled to eradicate bTB and control measures continue to be a significant economic burden on the agricultural industry. Most cattle are regularly monitored for signs of infection with a skin test, but it’s not effective enough to identify all infected animals.

“The data we are getting has taken the scientific community by surprise. In our paper we show that when blood samples from skin test negative cattle were tested for M. bovis cells, all the samples proved negative,” says Rees. “However using just a 2 ml blood sample, viable Mycobacterium tuberculosis complex bacteria (MTC) were detected in 66 percent of samples from skin test positive animals.

“When the carcasses were inspected, it was found that the highest number of bacteria were detected in the animals with visible TB lesions (VL) and 85 percent of these VL animals were M. bovis positive.”

Difficulties in detecting, growing cultures, and achieving sensitive detection using the current skin test, which looks for the animal’s an immune response, are a major barrier to understanding and diagnosing bTB infection. Early results indicate that M. bovis can be detected before the animal becomes SCCIT-positive.

“Using our bacteriophage-based test, the hope is that we can help improve herd control by finding animals at the early stages of infection and helping farmers control outbreaks of bTB more rapidly,” says Rees.

The group has patented an improved version of the method that delivers more sensitive results in just six hours.

Working with the US Department of Agriculture, Agricultural Research Service, National Animal Disease Center, the Nottingham group has set up the first animal trial using the blood test to determine exactly how soon it can detect infection.

“The test also offers the potential for new, better tests for other farm animals. We are directly detecting the bacteria and so the method will work using blood samples from any animal species—so far we have detected mycobacteria in the blood of cattle, sheep, and horses, but it could also be used for deer, goats, or llamas.

“Not only that, we can detect any type of mycobacteria, we have use the same method to detect other diseases, such as Johne’s disease, not just bTB.”

The team describes results in a paper published in the journal Virulence.

Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Stay up to date:

Future of Global Health and Healthcare

Share:
The Big Picture
Explore and monitor how Agriculture, Food and Beverage is affecting economies, industries and global issues
World Economic Forum logo

Forum Stories newsletter

Bringing you weekly curated insights and analysis on the global issues that matter.

Subscribe today

3 ways travel can shape the future of global connectivity

Jane Sun

December 18, 2024

Reimagining Real Estate: A Framework for the Future

About us

Engage with us

  • Sign in
  • Partner with us
  • Become a member
  • Sign up for our press releases
  • Subscribe to our newsletters
  • Contact us

Quick links

Language editions

Privacy Policy & Terms of Service

Sitemap

© 2024 World Economic Forum