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Metabolomics and lipidomics the Zika virus, from mosquitoes to the patient

Grant number: 16/17066-2
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): October 01, 2017
Status:Discontinued
Field of knowledge:Health Sciences - Medicine
Principal Investigator:Rodrigo Ramos Catharino
Grantee:Carlos Fernando Odir Rodrigues Melo
Home Institution: Faculdade de Ciências Médicas (FCM). Universidade Estadual de Campinas (UNICAMP). Campinas, SP, Brazil
Associated scholarship(s):18/03321-6 - A comprehensive metabolomics and lipidomics overview of plasma from patients with Alzheimer's Disease for screening dementia-linked biomarkers, BE.EP.DR

Abstract

Zika virus (ZIKV) is an arbovirus that plays an important role in increasing birth microcephalic infants and in adults it has been associated with Guillain-Barré syndrome. Arboviruses have adapted to urban mosquitoes facilitating the occurrence of major viral infection epidemics like Dengue virus and Zika virus. In turn, these mosquito-borne diseases were previously neglected, major gaps exist in biomedical information as the infection mechanism in the mosquito, infection mechanism in man and laboratory diagnosis. In parallel, metabolomics and lipidomics are revolutionary strategies that help to determine important biomarkers in controlling the viral infection in adult form of vectors, man infection and in the diagnosis of infectious diseases. Given this global emergency for public health and the revolutionary potential of the new "omics", this project aims to study the most important currently arbovirus: the Zika virus (ZIKV), proposing the search for biomarkers to: 1) identify and understand the viral mechanism infection in the mosquito for better virus control in urban areas; 2) identify and understand the viral mechanism infection in the man 3) development of a diagnostic method for ZIKV across platforms "omics", being an important screening aid to the laboratory diagnostic techniques already exist.

Articles published in Agência FAPESP about the scholarship:
A biomarker that detects dengue hemorrhagic fever is discovered 
Platform uses artificial intelligence to diagnose Zika and other pathogens 
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