Pathology generates modifications of the tissue in terms of its molecular composition and its metabolism. If the existence of a 'spectral signature' reflecting the specific changes caused by a particular disease could be identified, it is easy to realize why it would be useful to carry out a systematic search for this signature, which would have diagnostic value.
That is the idea that Marie-Pierre Bralet (*) and François Le Naour of the Paul Brousse hospital in Villejuif worked on with Christophe Sandt, Frédéric Jamme and Paul Dumas, of the SMIS beamline. They applied for beam time at SOLEIL in the first call for projects, in November 2006. Paul Dumas already had some expertise in the field of analysing biological tissue, acquired at LURE, and so he was able to help the future SMIS users to evaluate the feasibility of their project.
Their first series of experiments on SMIS made it possible to evaluate the protocol for the preparation of these samples: untreated cross-sections 6 microns thick obtained from previously frozen clinically characterised liver tissue.
A second series of experiments, carried out in 2008, confirmed the validity of the method and the advantages of a synchrotron source for this technique: the brilliance (quantity of light) of the infrared radiation reduces the spectrum acquisition time and increases the lateral resolution. This series of experiments was carried out on samples from patients afflicted with steatosis. The tests revealed significant changes in the biochemical composition. Moreover, statistical analyses carried out on a large number of spectra showed how heterogeneous steatosic tissue is compared to healthy tissue. Interestingly, the morphologically normal regions of steatosic livers had many spectral characteristics that distinguished them from a healthy liver. This means that infrared microspectroscopy can reveal early changes in the metabolism of hepatocytes.
These studies should continue with research on cellular and animal models so that the early stages of the pathology can be analysed. The medical interest of spectral markers will be studied using series of clinical samples.
(*) Marie-Pierre Bralet, during the preparation of this report, passed away. She was the driving scientist of this project, and her competence, human quality were very much appreciated. We will try to carry out this study as far as possible in memory of Marie-Pierre.