• Subscribe

PreDiCT-TB tool may find better medicines

PET/CT scan images of healthy and unhealthy guinea pig lungs.
This shows the PET/CT scan images from a healthy guinea pig (left), and from an infected guinea pig with chronic pulmonary inflammation (right). The image of the lung that was acquired using tomography can be seen in black and white, while the image in color shows the most active areas, as detected by the PET scan. This corresponds to the active inflammatory process. Image courtesy Carlos III University in Madrid.

A new study is underway that uses the latest imaging software and cloud computing to develop better tools for fast screening of tuberculosis in animal models, and designing new combinations of drug treatments. This two-fold approach could help make positron emission tomography (PET) scans more sensitive, spotting tuberculosis disease signatures earlier, and make human treatments more patient-friendly.

Tuberculosis is sometimes referred to as the 'forgotten disease', but according to the World Health Organization, there were 8.8 million cases in 2010, and in 2009 almost 10 million children were orphaned as a result of parental deaths caused by the disease.

Researchers from the Carlos III University of Madrid (UC3M), Spain, along with 18 other partner institutions, are working on the PreDiCT-TB ('Model-based preclinical development of anti-tuberculosis drug combinations') project. The UC3M are the technological partner in this project. They are creating software specifically suited to integrate multiple data sets and create better resolution imaging for visualizing a complete rat or guinea pig lung. Cloud resources will be used to store and analyze the results.

PreDiCT-TB has received €14.8 million ($19 million) of EC FP7 funds from the Innovative Medicines Initiative (IMI), a public-private partnership aimed at removing bottlenecks in R&D that prevent good medicines from being developed. PreDiCT-TB is just one of IMI's wider goals. This year, it launched seven new projects to tackle major health research challenges including tuberculosis, autism, diabetes, drug and vaccine safety.

Today, the possibility of being cured of tuberculosis drops if the disease is 'multi-drug resistant' and treatment can take six months. The PreDiCT-TB project hopes to improve this by finding the most effective therapeutic drug combinations.

"The agent causing the disease - M.tuberculosis - is getting more and more resistant. Patients need to be treated with more than one drug at the time, and for a very long time… it's a vicious circle," said Elisabetta Vaudano, IMI scientific manager of the PreDiCT-TB project. "PreDiCT-TB will take a comprehensive model-based approach, synthesizing and integrating pre-clinical and clinical information. This is unique in the field."

More information about the project can be found on the IMI website.

- Adrian Giordani

Join the conversation

Do you have story ideas or something to contribute? Let us know!

Copyright © 2019 Science Node ™  |  Privacy Notice  |  Sitemap

Disclaimer: While Science Node ™ does its best to provide complete and up-to-date information, it does not warrant that the information is error-free and disclaims all liability with respect to results from the use of the information.

Republish

We encourage you to republish this article online and in print, it’s free under our creative commons attribution license, but please follow some simple guidelines:
  1. You have to credit our authors.
  2. You have to credit ScienceNode.org — where possible include our logo with a link back to the original article.
  3. You can simply run the first few lines of the article and then add: “Read the full article on ScienceNode.org” containing a link back to the original article.
  4. The easiest way to get the article on your site is to embed the code below.