Immunohistochemical aspects of apoptosis in gingival mucosa with papilloma and condyloma acuminata

Vol. 56 No. 2 Suppl., 2015
This supplement was not sponsored by Outside Organizations.


Monica Scrieciu, Veronica Mercut, Razvan Mercut, Marina Olimpia Amarascu, Sanda Mihaela Popescu, Anca Mihaela Predescu, Ileana Monica Banita

The oral mucosa is a component of the oral ecosystem, which can be aggressed by corrosion products released from the dental alloys used in prosthetic dentistry therapy. The purpose of this study was to compare the in vivo effect of nickel and copper compounds on the oral mucosa cells, including their ability to induce cell death, by analyzing the cytochrome c (cyt. c) immunohistochemical expression. Gingival mucosa fragments obtained from the subjects with dentures manufactured by nickel or copper casting alloys were processed through the histological technique of paraffin inclusion. The sections obtained were stained by usually histological methods in order to highlight the histopathological lesions and also analyzed using the immunohistochemical technique in order to study the cyt. c expression. The papillomatosis lesions were observed in the gingival mucosa fragments obtained from the subjects with nickel-based alloy dentures and the condyloma acuminata lesions were observed in those obtained from the subjects with copper-based alloy dentures. The cyt. c immunohistochemical expression was different in the epithelial layer of two types of mucosal fragments but it was the same in their lamina propria connective tissue. We can conclude that the two types of metal alloys have different effects on the adjacent gingival mucosa.

Corresponding author: Monica Scrieciu, Associate Professor, MD, PhD; e-mail:

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Mircea Sebastian Serbanescu, Iancu Emil Plesea

Advances in technology made the migration of pathological diagnosis to digital slides possible. As the need for objectivity and automation emerged, new computer software algorithms were proposed. Computer algorithms demand accurate color and intensity values in order to provide reliable results. The tissue samples undergo several processing steps from histological preparation to digitalization, which cannot be completely standardized. Thus, non-standardized input data generates unreliable output data. In this article, we discuss a new computational normalization algorithm for histopathological stained slides that uses a hardware color marker. The marker is added to the glass slide together with the tissue section, exposed to all the processing steps and altered in the same manner as the biological material of interest, thus becoming a solid color marker for image normalization. The results of the proposed method are numerically and perceptually tested in order to prove the advantages of the method. We conclude that our combined hardware-software technique for staining normalization of digital slides is superior to the existing methods based on only software normalization, and that its implementation will tackle not only the acquisition errors but also the technical errors that may occur during the staining process.

Corresponding author: Mircea Sebastian Serbanescu, MD, PhD Student; e-mail:

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