Studies of networks of mitochondria are already yielding insights into some diseases. For instance, some scientists suspect that defective energy metabolism plays a role in Parkinson’s disease, but so far, no clear difference has been found between the neuronal mitochondria of patients and healthy people. But a research team led by
Feng He of the Luxembourg Institute of Health
recently directed a computer to crunch through 700 gigabytes’ worth of microscopy videos of gut neurons from Parkinson’s disease patients.
The system identified nearly 20 features that mathematically characterized the mitochondrial networks in their cells in terms of the organelles’ density, proximity to one another, and interactions. The study, which examined only a small number of patients, found that the features could collectively differentiate patients from healthy people. To He, it seems that mitochondrial networks in Parkinson’s disease might be less efficient, and that this inefficiency could contribute to the disease. By capturing layers of biology that more reductionist approaches tend to miss, such network studies could “reshape [our understanding] of different cell types in our body,” he said.