Introduction: The oral cavity is a complex ecosystem that reflects the molecularinteractions established between proteins from the host and proteins produced by themicrobiota which colonizes it. This is not only true for healthy states, but also for manypathologies.The microflora could play a fundamental role in the etiology of diabetes and, morespecifically, the oral microflora could play a role in the oral complications of thispathology. In order to establish this role, it urges to identify not only the moleculesinvolved, but also the molecular mechanisms in which they participate.The bioinformatic tools play an important role in this task, providing the means toestablish the pairs of interacting proteins, which is the host-microbiota interactome indiabetes.Goals: To determine and interpret, from the phisiopathological point of view, the set ofinteractions between microbial and host proteins, in the oral cavity, in the context ofdiabetes.Materials and Methods: To identify the altered microrganisms in diabetes and theproteins produced by them. To update the information related to altered humanproteins in diabetes. The identified proteins were included in OralCard and submitted toOralInt, in order to establish the host-microbiota interactome in diabetes. The resultswere interpreted and discussed according to the fisiophatology of diabetes.Results and Discussion: Among all the obtained interactions, there were selected 6interactions in DMT1 and 24 interactions in DMT2, which were presented aspossibilities, never proposed before. Among these, there were detailed the interactionbetween interleukin-1 beta and an microbial aminomethyltransferase and betweenmyeloperoxidase and a human C5a peptidase. Both interactions discussed in detailand others suggested in this work give support to the fact that the infection response iscompromised in diabetic patients.
Date of Award | 2014 |
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Original language | Portuguese |
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Awarding Institution | - Universidade Católica Portuguesa
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Supervisor | Nuno Rosa (Supervisor) |
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- Oral proteome
- Inter-organism interactomics
- Diabetes
- Computational biology
- Mestrado em Medicina Dentária
Interactoma da cavidade oral em diabetes
Lopes, R. J. N. (Student). 2014
Student thesis: Master's Thesis