By IANS,
Toronto : Some superbugs have seemingly evolved the ability to manipulate the immune system to their advantage.
A team of researchers from the University of Western Ontario, led by Joaquin Madrenas of the Robarts Research Institute, has discovered some processes that reduce the lethal effects of toxins from superbugs, allowing humans and microbes to co-evolve.
This discovery may lead to novel alternatives to antibiotics that specifically target the toxic effects of these superbugs.
Madrenas holds a Canada Research Chair in Immunobiology and is a professor of microbiology and immunology, and Medicine at the Schulich School of Medicine and Dentistry at Western.
Staphylococcus (staph) aureus is the leading cause of infections in hospitals and the second most common cause of infections in the general population.
By itself, it is linked to more than half a million hospital admissions a year in North America with estimated costs of more than $6 billion per year.
Among the many weapons produced by this superbug, the most potent and lethal ones are known as super-antigens. These lethal weapons cause massive and harmful activation of the immune system that leads to Toxic Shock Syndrome (TSS).
TSS is a very serious disease that carries a high mortality, for which we do not have a specific treatment. Scientists have been puzzled as to why, when the body is directly exposed to the TSS toxins, a human can die within hours whereas those carrying toxin-producing staph do not get sick or die.
What has the staph bug got that prevents the immune system of the host from being kicked into high gear? Madrenas and his collaborators at Western, Calgary and Chicago have identified the process that allows the bug to stay in the body without causing that massive activation of the immune system, according to an Ontario release.
“It is clear that staph superbugs have developed strategies to control the toxicity of its lethal superantigen toxins, thereby preventing TSS,” said Madrenas.
Based on these studies, Madrenas and colleagues have developed a computer model that will help predict the outcomes of encounters between staph and a host, and will reveal new aspects of these encounters.
The findings are being published in Nature Medicine and are available online.