Year: 2021
Type: preprint
Abstract: Previous studies demonstrated that infrared absorption spectra of blood sera may help disease detection. For clinical translation of this approach, it is important to determine the molecular origin of disease-related spectral perturbations. To that end, we supplemented infrared spectroscopy with biochemical fractionation and proteomic profiling, which provide detailed information about blood serum composition. We built a model to describe serum absorption based on the concentrations of the highly-abundant proteins and applied this framework to lung cancer detection. We find that it is the levels of acute-phase proteins that change most in the presence of the disease and generate its infrared signature. These findings inform future clinical trials and establish a framework that could be applied to probing of any disease.
Source: arXiv (Cornell University)
Authors: Voronina, Liudmila, Leonardo, Cristina, Mueller-Reif, Johannes B., Geyer, Philipp E., Huber, Marinus, Trubetskov, Michael, Kepesidis, Kosmas V., Behr, Jurgen, Mann, Matthias, Krausz, Ferenc, Zigman, Mihaela
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W3127832081