SalivaPrint as a Non-invasive Diagnostic Tool

Eduardo Esteves, Igor Cruz, Ana Cristina Esteves, Marlene Barros, Nuno Rosa

2020

Abstract

Currently, the molecular diagnosis is based on the quantification of RNA, proteins and metabolites because they present changes in their quantity related to clinical situations. The same molecules are not generally suitable for early diagnosis or to follow clinical evolution, making necessary strategies to evaluate the complete molecular scenario. There are already experimental strategies that allow the determination of total protein profiles from saliva samples (the SalivaPrint). The goal of this work is to identify a profile of saliva proteins (similar to a fingerprint) and, using computational methods, identify how this profiles changes with age and gender. So far it has been possible to collect 79 samples as well as the metadata associated with each sample using an electronic questionnaire developed by us. A total protein profile was obtained and their association with gender was verified using statistical methods. Currently we are developing the Python scripts for automatic data acquiring and normalization. Total protein profiles annotation on a database (SalivaPrintDB) and their integration with the factors that affects them using machine learning strategies can empower the use of the approach proposed on this work as a tool for monitoring the individual's health status.

Paper Citation

in Harvard Style

Esteves E., Cruz I., Esteves A., Barros M. and Rosa N. (2020). SalivaPrint as a Non-invasive Diagnostic Tool. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF; ISBN 978-989-758-398-8, SciTePress, pages 677-682. DOI: 10.5220/0009163506770682

in Bibtex Style

@conference{healthinf20,
author={Eduardo Esteves and Igor Cruz and Ana Cristina Esteves and Marlene Barros and Nuno Rosa},
title={SalivaPrint as a Non-invasive Diagnostic Tool},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF},
year={2020},
pages={677-682},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009163506770682},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF
TI - SalivaPrint as a Non-invasive Diagnostic Tool
SN - 978-989-758-398-8
AU - Esteves E.
AU - Cruz I.
AU - Esteves A.
AU - Barros M.
AU - Rosa N.
PY - 2020
SP - 677
EP - 682
DO - 10.5220/0009163506770682
PB - SciTePress