Scientists at the UK's National Physical Laboratory have created a new strategy for quicker and more precise detection of biomarkers-a feat that could pave the way for new tools to detect early stages of Alzheimer's and cancer at the molecular level.
All diseases have proteins specifically linked to them called biomarkers, which, when identified in body fluid such as blood can be a powerful tool in detecting diseases in their early stages.
This would help doctors increase the success rate of treatment through early intervention and help drug companies develop more effective drugs for these diseases.
"This new strategy, developed by NPL, uses a probe to 'fish' for likely proteins, selecting them from a crowded blood sample. A microgel on the probe works like a sponge, picking up proteins which have a charge or mass within a certain range," said Dr Max Ryadnov, Principle Research Scientist in the group.
Whether or not the biomarker is present in this more select sample can then be determined using mass spectrometry - a technique where the molecules are charged and identified from their mass-to-charge ratio.
The team tested the probe on fluids containing human growth hormone - a protein which is used therapeutically and is also banned in competitive sports.
It's typically found in blood at very low frequencies, at around 100 nanograms per millilitre. However the probe was able to pick up the hormone even when only 40 nanograms per millilitre were present.
This new strategy could greatly cut the time needed to search for a biomarker in a fluid.
"You can do it in one day instead of a few days or even a week," said Ryadnov.
The researchers want to develop biomarker detection techniques further, and are already working on a probe, which can select one specific protein, rather than ranges of size or charge.
They also want to see tests that can quantify levels of a protein, rather than just detecting if it is present or not.
"What we want to do is something simple. These types of probe would in theory be suitable for different classes of diseases, mainly Alzheimer's and the like, but I also hope they would have applications for cancer," said Dr Paulina Rakowska, Senior Research Scientist in the group.