A brand new state-of-the-art technique that measures the quantities of medication and lipids (fat) in particular person cells may assist well being professionals goal more practical therapies for ailments equivalent to tuberculosis (TB).
Researchers from the University of Surrey have been capable of isolate particular person residing cells that contained medicine generally used to deal with TB and located that every cell absorbed the drug otherwise, and every cell had a novel lipid “fingerprint”.
There was a giant variation in how a lot drug was present in every cell – this means that totally different cells take up medicine otherwise. This may show vital to bettering our understanding of life-saving therapies – not just for TB however for different infectious ailments and most cancers too.”
Dr Holly-May Lewis, first writer of the examine, University of Surrey
In the examine, the Surrey researchers demonstrated using a method referred to as nanocapillary sampling, the place scientists use a microscopic software to entice particular person cells. The researchers then used one other method, liquid chromatography, to exactly measure the degrees of medication and lipids.
Professor Melanie Bailey, corresponding writer of the examine from the University of Surrey, mentioned:
“Surrey is without doubt one of the few locations within the nation the place it is attainable to experiment with these cutting-edge measuring strategies. We not too long ago secured funding to ascertain a nationwide analysis facility that may assist researchers from the UK to make single cell measurements. If we’re ever capable of develop efficient therapeutic strategies to deal with devastating ailments or battle the pandemics of the long run, extra out-of-box scientific pondering like that is wanted.”
The analysis has been revealed within the journal Analyst.
Source:
Journal reference:
Lewis, H-M., et al. (2023) Nanocapillary sampling coupled to liquid chromatography mass spectrometry delivers single cell drug measurement and lipid fingerprints. Analyst. doi.org/10.1039/D2AN01732F.