Capillary electrophoretic profiling of in‐bone tryptic digests of proteins as a potential tool for the detection of inflammatory states in oral surgery

0532117 - ÚOCHB 2021 RIV DE eng J - Článek v odborném periodiku
Michalusová, I. - Sázelová, Petra - Cejnar, P. - Kučková, Š. - Hynek, R. - Kašička, Václav
Capillary electrophoretic profiling of in‐bone tryptic digests of proteins as a potential tool for the detection of inflammatory states in oral surgery.
Journal of Separation Science. Roč. 43, č. 20 (2020), s. 3949-3959. ISSN 1615-9306. E-ISSN 1615-9314
Grant CEP: GA ČR(CZ) GA20-03899S
Institucionální podpora: RVO:61388963
Klíčová slova: alveolar bones * capillary electrophoresis * in-bone protein digestion * linear discriminant analysis * principal component analysis
Obor OECD: Analytical chemistry
Impakt faktor: 3.645, rok: 2020
Způsob publikování: Omezený přístup
https://doi.org/10.1002/jssc.202000718

The commonly used histological assessment of pathological states of alveolar bone tissues in oral surgery needs laborious and time‐consuming processing by an experienced histologist. Therefore, a simpler and faster methodology is required in this field. Following this demand, this paper reports a straightforward approach using the tryptic cleavage of proteins directly in bone without its demineralization, followed by the capillary electrophoresis‐ultraviolet detection profiling of the yielded protein digest. Cleavage‐derived peptides were separated by capillary electrophoresis in acidic background electrolytes, pH 2.01–2.54. The best resolution of peptide fragments with the highest peak capacity was achieved in the background electrolyte composed of 55 mM H3PO4, 14 mM tris(hydroxymethyl)aminomethan, pH 2.01. The differences in the obtained capillary electrophoresis‐ultraviolet detection profiles with characteristic patterns for particular bone samples were subsequently discriminated by linear discriminant analysis over principal components. This approach was first verified on porcine bone tissues as model samples, jawbone and calf bone tissues could be discriminated with an accuracy of 100%. Subsequently, the method was capable of differentiating unequivocally between human healthy and inflammatory alveolar bone tissues obtained from oral surgery. This procedure seems to be promising as complement or even an alternative to the traditional histological discrimination between healthy and inflammatory bone tissues in oral surgery.
Trvalý link: http://hdl.handle.net/11104/0310717