, is facilitated by an increased amount of a signaling protein that is associated with mitochondrial disease.
Patients with mitochondrial disease exhibit a wide range of symptoms including diabetes, blindness, deafness, stroke-like episodes, epilepsy, ataxia, muscle weakness and kidney disease. The metabolic abnormalities that cause these effects also induce a stress signal intended to help the body overcome its energy deficit. The stress-signal induces the production of more mitochondria, the energy generating 'powerplants' of the body, in the hopes that more mitochondria will result in a better power supply. Researchers now show that the stress-signal associated with mitochondrial disease facilitates the growth and reproduction of the lung-infecting bacteria, Legionella
Cells with mitochondrial disease increase their production of a signaling protein called AMP-activated protein kinase (AMPK), to promote the generation of more energy producing mitochondria. Infectious bacteria, like Legionella
, target the mitochondria and might use them to supplement their own needs and survival requirements. By manipulating AMPK levels, scientists were able to directly influence the ability of bacteria to replicate inside of the single-celled organism, Dictyostelium
Striking similarities that exist between simple organisms like Dictyostelium
and humans allow scientists to use them to understand human disease. Dictyostelium
is a free-living amoeba whose rapid movements make it useful to study motility and energy regulation, and in this case, the association between energy regulation and susceptibility to infection. Like humans, Dictyostelium
can be infected by Legionella
and quickly responds by producing a host of metabolism-associated proteins. Another similarity between humans and Dictyostelium
is that both use AMPK as an internal sensor to coordinate energy synthesis with energy needs. However, unlike humans, researchers can infect Dictyostelium
with germs like Legionella
in a controlled environment and determine the influence of various parameters on the course of infection.