Liquid chromatography-tandem mass spectrometry analysis of peptides separated from the insoluble matrix by in-sample tryptic protein digestion for rapid discrimination of various induced pathological states of human bone models in oral surgery.

For the understanding of pathological states of bone tissues in oral surgery, it would be desirable to have the possibility to simulate these processes on bone cell models in vitro. These cultures, similarly to bone tissues, contain numerous proteins entrapped in the insoluble matrix. The major goal of this study was to verify whether a method based on direct in-matrix protein digestion could be suitable for the discrimination between different induced pathological states of bone cell models cultivated in vitro. Using in-sample specific protein digestion with trypsin followed by liquid chromatography-tandem mass spectrometry analysis of released peptides, 446 proteins (in average per sample) were identified in a bone cell in vitro model with induced cancer, 440 proteins were found in a model with induced inflammation, 451 proteins were detected in control in vitro culture, and 491 proteins were distinguished in samples of vestibular laminas of maxillary bone tissues originating from six different patients. Subsequent partial least squares - discrimination analysis of obtained liquid chromatography-tandem mass spectrometry data was able to discriminate among in vitro cultures with induced cancer, with induced inflammation, and control cultivation. Thus, the direct in-sample protein digestion by trypsin followed by liquid chromatography-tandem mass spectrometry analysis of released specific peptide fragments from the insoluble matrix and mathematical analysis of the mass spectrometry data seems to be a promising tool for the routine proteomic characterization of in vitro human bone models with induced different pathological states.

In-bone protein digestion followed by LC-MS/MS peptide analysis as a new way towards the routine proteomic characterization of human maxillary and mandibular bone tissue in oral surgery.

Proteomic characterization of alveolar bones in oral surgery represents an analytical challenge due to their insoluble character. The implementation of a straightforward technique could lead to the routine use of proteomics in this field. This work thus developed a simple technique for the characterization of bone tissue for human maxillary and mandibular bones. It is based on the direct in-bone tryptic digestion of proteins in both healthy and pathological human maxillary and mandibular bone samples. The released peptides were then identified by the LC-MS/MS. Using this approach, a total of 1120 proteins were identified in the maxillary bone and 1151 proteins in the mandibular bone. The subsequent partial least squares-discrimination analysis (PLS-DA) of protein data made it possible to reach 100% discrimination between the samples of healthy alveolar bones and those of the bone tissue surrounding the inflammatory focus. These results indicate that the in-bone protein digestion followed by the LC-MS/MS and subsequent statistical analysis can provide a deeper insight into the field of oral surgery at the molecular level. Furthermore, it could also have a diagnostic potential in the differentiation between the proteomic patterns of healthy and pathological alveolar bone tissue. Data are available via ProteomeXchange with the identifier PXD026775.