Key words: Proteomics, diagnostic biomarkers, hyperinfection, strongyloidiasis"> Proteomic identification of larval excretory/secretory diagnostic biomarkers for early hyperinfection in strongyloidiasis – Direct Research Journal of Health and Pharmacology
Proteomic identification of larval excretory/secretory diagnostic biomarkers for early hyperinfection in strongyloidiasis Proteomic identification of larval excretory/secretory diagnostic biomarkers for early hyperinfection in strongyloidiasis – Direct Research Journal of Health and Pharmacology
Original Research Article

Proteomic identification of larval excretory/secretory diagnostic biomarkers for early hyperinfection in strongyloidiasis

Aliyu Mahmuda1*

Al-Zihiry Khalid Jameel Kadhim2

Zasmy Unyah3

Roslaini Abd Majid3

Rukman Awang Hamat3

Yusuf Yakubu4

Abdurrahman Bello5

Abdullahi Abdullahi Raji6

Umar Salisu Ahmad7

Yahaya Abubakar Yabo8

Article Number: DRJA26047842
DOI: https://doi.org/10.26765/DRJHP.2017.7842
ISSN: 2449-0814

Vol. 5 (3), pp. 14-23, December 2017

Copyright © 2017
Author(s) retain the copyright of this article


Abstract

The aim of the current study was to identify early specific diagnostic proteins from the components of Strongyloides ratti larval Excretory/Secretory (E/S) products. Products from the treated (Prednisolone) and non-treated (control) groups were analysed using two dimensional (2D) gel electrophoresis, LC-MS/MS and MALDI-TOF/TOF Mass Spectrophotometry. A total of 10 different protein biomarkers were detected as overexpressed from the ES treated products with molecular weights ranging from 30 – 90 kDa and isoelectric points (IP) range from 4 – 9. Eight (8) overexpressed protein biomarkers were also identified from the infected and prednisolone-treated rat sera. Relative quantitative real-time PCR (qPCR) was performed to compare the expression level of the biomarker genes between the treated and non-treated groups in order to validate the related expressed biomarkers. Nine (9) related genes were observed to show significant high expression levels of the identified biomarkers, whereas one (1) gene (Arg) recorded down regulation in its expression. The identified proteins in this study might be of specific importance as diagnostic biomarkers for early hyperinfection syndrome in strongyloidiasis.

Key words: Proteomics, diagnostic biomarkers, hyperinfection, strongyloidiasis
 Received: November 20, 2017  Accepted: December 9, 2017  Published: December 11, 2017



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