Tuberculosis (TB) is the second-most common cause of mortality from an infectious disease in the world, killing nearly three people every minute. Active TB causes symptoms such as cough, fever, night sweats, and weight loss. If left untreated, a common scenario in developing countries lacking health care infrastructure, a person with active TB has only a 50% chance of survival, and he or she will infect an average of 10 to 15 people each year.
Every March 24, on World TB Day, the global health community recognizes the work of Robert Koch, who announced on that date in 1882 his discovery of Mycobacterium tuberculosis, the bacteria that causes TB.
TB is generally a curable disease, but first it must be diagnosed, and that has been one of the biggest barriers in its elimination. M. tuberculosis grows very slowly, so traditional methods of diagnostic testing take a very long time. A team from the Texas A&M Health Science Center College of Medicine has been working on a new approach. The work is led by Jeffrey Cirillo, a professor in the Department of Microbial Pathogenesis and Immunology.
The slow growth of M. tuberculosis also makes development of new therapeutics difficult because it takes so long to determine if the treatment is working.
Now, Cirillo and his team have developed a method, which they reported recently in the journal PLoS ONE, of detecting whether a potential treatment is working as early as a day after it is given. "Since M. tuberculosis takes about a month to quantify using traditional approaches, any method that allows direct determination of the amount of bacteria present is very valuable and speeds progress, saving months every time an experiment is done," Cirillo said. "Our methods allow this."
Using optical imaging technology, the researchers can observe the bacteria in real time, in living animals, without harming them. This way, it is easy to determine if a proposed treatment is working and the number of bacteria is decreasing.
"There have never been sensitive enough systems to measure the bacteria directly in animals," Cirillo said. "This is a completely new technology and has nearly limitless applications to microbiological research, particularly in animals, but it increases sensitivity in any experimental system."
Drug-resistant TB, now present everywhere in the world, is hampering efforts to fight the disease because the usual drugs used to treat it are no longer effective. Therefore, new, more effective treatments need to be developed.
The researchers first had to find the best fluorescent protein to help them visualize the bacteria.
"We use very sensitive systems that can actually see the signal through mammalian tissue," Cirillo said. "This works best in the near-infrared, which is where our signals are primarily produced. The goal in TB research is complete eradication of the disease," Cirillo said. "We think this new technology is one tool to do just that."