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Abstract(s)
Introdução: o Líquen Plano é uma patologia inflamatória crónica, mucocutânea, com possível origem autoimune. As classificações clínicas de Líquen Plano Oral mais assiduamente descritas são a reticular, erosiva, bolhosa e em forma de placa. Embora a apresentação clínica faça parte do diagnóstico, é recomendado que este seja confirmado com recurso a biópsia das lesões e respetiva confirmação histológica e, por vezes, com recurso a biomarcadores. Contudo, falta desenvolver informação que auxilie na identificação de painéis de biomarcadores específicos, precoces e objetivos, bem como esclarecer os aspetos moleculares do desenvolvimento e manifestação da patologia. Objetivo: desenvolvimento de uma estratégia bioinformática que permita a identificação de um conjunto de proteínas orais diferencialmente expressas em pacientes com Líquen Plano Oral, que permita propor um painel de biomarcadores salivares uteis para o diagnóstico desta doença. Métodos: identificação de estudos de proteómica de saliva associados a Líquen Plano e anotação manual da informação relevante sobre as proteínas identificadas em pacientes com a patologia. Análise funcional do proteoma salivar anotado, com levantamento dos processos biológicos associados a cada proteína e associação com outas patologias, com patologias autoimunes, e com Líquen Plano. Seleção de um painel de biomarcadores salivares para o Líquen Plano Oral. Resultados: os estudos identificados permitiram a anotação de 136 proteínas diferentes. Destas, 42 foram associadas a pelo menos um processo biológico relacionado com o Líquen Plano Oral, 102 já se encontravam associadas a uma ou mais patologias, das quais 53 apresentaram associação com patologias autoimunes e 10 com Líquen Plano. Conclusão: foram identificadas seis proteínas que cumpriram os critérios para integrarem um painel de biomarcadores salivares para o Líquen Plano Oral: TNF-α, TNFR-2 (ou TNFR-1β), IL-1α, IL-6, fibrinogénio cadeia β e componente do complemento C3. Sugere-se a validação deste painel.
Introduction: lichen planus is a chronic, inflammatory, mucocutaneous disease with possibly represents an autoimmune disease. The most often described clinical appearances are reticular, erosive, bullous and plaquelike. Even though clinical appearance is a part of the diagnosis, biopsy and histological confirmation, and sometimes the use of biomarkers, is recommended. Yet, there is a lack of information regarding the identification of biomarkers that are precise, early and objective, as well of an enlightenment of the molecular aspects concerning the development and manifestation of the disease. Objectives: this study aims to develop a bioinformatic strategy that allows the identification of a group of protein that manifest differently in the presence of oral lichen planus, culminating with the proposal of a biomarker panel that is useful for diagnosis of oral lichen planus. Methods: identification of available proteomic studies associated with lichen planus and manual compilation of relevant data about the proteins. Functional analysis of the salivary proteome featuring biologic process and known disease association screening, including association with autoimmune diseases, lichen planus and other diseases Selection of a salivary biomarker panel for oral lichen planus. Results: identified studies allowed the identification of 136 non-redundant proteins, where 42 presented at least one biologic process related with de disease and 102 were related to one or more diseases, of which 53 were related to autoimmune diseases and 10 of those were had a known association with lichen planus. Conclusion: 6 proteins were identified as adequate members of the salivary biomarker panel for oral lichen planus: TNF-α, TNFR-2 (or TNFR-1β), IL-1α, IL-6, fibrinogen chain β and complement component C3. The attempt to validate this panel is suggested.
Introduction: lichen planus is a chronic, inflammatory, mucocutaneous disease with possibly represents an autoimmune disease. The most often described clinical appearances are reticular, erosive, bullous and plaquelike. Even though clinical appearance is a part of the diagnosis, biopsy and histological confirmation, and sometimes the use of biomarkers, is recommended. Yet, there is a lack of information regarding the identification of biomarkers that are precise, early and objective, as well of an enlightenment of the molecular aspects concerning the development and manifestation of the disease. Objectives: this study aims to develop a bioinformatic strategy that allows the identification of a group of protein that manifest differently in the presence of oral lichen planus, culminating with the proposal of a biomarker panel that is useful for diagnosis of oral lichen planus. Methods: identification of available proteomic studies associated with lichen planus and manual compilation of relevant data about the proteins. Functional analysis of the salivary proteome featuring biologic process and known disease association screening, including association with autoimmune diseases, lichen planus and other diseases Selection of a salivary biomarker panel for oral lichen planus. Results: identified studies allowed the identification of 136 non-redundant proteins, where 42 presented at least one biologic process related with de disease and 102 were related to one or more diseases, of which 53 were related to autoimmune diseases and 10 of those were had a known association with lichen planus. Conclusion: 6 proteins were identified as adequate members of the salivary biomarker panel for oral lichen planus: TNF-α, TNFR-2 (or TNFR-1β), IL-1α, IL-6, fibrinogen chain β and complement component C3. The attempt to validate this panel is suggested.
Description
Keywords
Proteínas salivares Proteómica Biomarcadores Líquen plano oral Bioinformática Salivary proteins Proteomics Biomarkers Oral lichen planus Bioinformatics