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1.
Biosensors (Basel) ; 11(11)2021 Oct 28.
Artigo em Inglês | MEDLINE | ID: mdl-34821641

RESUMO

Periodontitis and dental caries are two major bacterially induced, non-communicable diseases that cause the deterioration of oral health, with implications in patients' general health. Early, precise diagnosis and personalized monitoring are essential for the efficient prevention and management of these diseases. Here, we present a disk-shaped microfluidic platform (OralDisk) compatible with chair-side use that enables analysis of non-invasively collected whole saliva samples and molecular-based detection of ten bacteria: seven periodontitis-associated (Aggregatibacter actinomycetemcomitans, Campylobacter rectus, Fusobacterium nucleatum, Prevotella intermedia, Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola) and three caries-associated (oral Lactobacilli, Streptococcus mutans, Streptococcus sobrinus). Each OralDisk test required 400 µL of homogenized whole saliva. The automated workflow included bacterial DNA extraction, purification and hydrolysis probe real-time PCR detection of the target pathogens. All reagents were pre-stored within the disk and sample-to-answer processing took < 3 h using a compact, customized processing device. A technical feasibility study (25 OralDisks) was conducted using samples from healthy, periodontitis and caries patients. The comparison of the OralDisk with a lab-based reference method revealed a ~90% agreement amongst targets detected as positive and negative. This shows the OralDisk's potential and suitability for inclusion in larger prospective implementation studies in dental care settings.


Assuntos
Cárie Dentária , Técnicas Analíticas Microfluídicas , Saúde Bucal , Periodontite , Saliva/microbiologia , Cárie Dentária/diagnóstico , Humanos , Periodontite/diagnóstico
2.
Stud Health Technol Inform ; 224: 61-6, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27225554

RESUMO

Global healthcare systems are struggling with the enormous burden associated with infectious diseases, as well as the incessant rise of antimicrobial resistance. In order to adequately address these issues, there is an urgent need for rapid and accurate infectious disease diagnostics. The H2020 project DIAGORAS aims at diagnosing oral and respiratory tract infections using a fully integrated, automated and user-friendly platform for physicians' offices, schools, elderly care units, community settings, etc. Oral diseases (periodontitis, dental caries) will be detected via multiplexed, quantitative analysis of salivary markers (bacterial DNA and host response proteins) for early prevention and personalised monitoring. Respiratory Tract Infections will be diagnosed by means of DNA/RNA differentiation so as to identify their bacterial or viral nature. Together with antibiotic resistance screening on the same platform, a more efficient treatment management is expected at the point-of-care. At the heart of DIAGORAS lies a centrifugal microfluidic platform (LabDisk and associated processing device) integrating all components and assays for a fully automated analysis. The project involves an interface with a clinical algorithm for the comprehensive presentation of results to end-users, thereby increasing the platform's clinical utility. DIAGORAS' performance will be validated at clinical settings and compared with gold standards.


Assuntos
Cárie Dentária/diagnóstico , Farmacorresistência Bacteriana , Periodontite/diagnóstico , Infecções Respiratórias/diagnóstico , Automação Laboratorial , Centrifugação/métodos , DNA Bacteriano/análise , Humanos , Técnicas Analíticas Microfluídicas , Periodontite/microbiologia , Medicina de Precisão/métodos , RNA Viral/análise , Infecções Respiratórias/microbiologia , Infecções Respiratórias/virologia , Saliva/imunologia , Saliva/microbiologia
3.
Bioinformatics ; 24(20): 2412-3, 2008 Oct 15.
Artigo em Inglês | MEDLINE | ID: mdl-18697766

RESUMO

MPSQ (multi-protein-states query) is a web-based tool for the discovery of protein states (e.g. biological interactions, covalent modifications, cellular localizations). In particular, large sets of genes can be used to search for enriched state transition network maps (NMs) and features facilitating the interpretation of genomic-scale experiments such as microarrays. One NM collects all the catalogued states of a protein as well as the mutual transitions between the states. For the returned NM, graph visualization is provided for easy understanding and to guide further analysis.


Assuntos
Mapeamento de Interação de Proteínas , Proteínas/química , Software , Bases de Dados de Proteínas , Proteínas/análise , Proteínas/metabolismo , Interface Usuário-Computador
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