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A Metabonomic Study on Samples of Cutaneous Leishmaniasis and its Correlation with the Selenium Level in the Blood Serum | OMICS International | Abstract
ISSN-2155-9929

Journal of Molecular Biomarkers & Diagnosis
Open Access

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Research Article

A Metabonomic Study on Samples of Cutaneous Leishmaniasis and its Correlation with the Selenium Level in the Blood Serum

Tafazzoli Mohsen1*, Fathi Fariba1, Darvizeh Fatemeh1, Zahra Zamani2 and Pourfallah Fatemeh2

1Department of Chemistry, Sharif University of Technology, Tehran, Iran

2Pasteur Institute of Iran, Tehran, Iran

*Corresponding Author:
Mohsen Tafazzoli
Department of Chemistry
Sharif University of Technology, Tehran, Iran
Tel: +98 21 66165305
Fax: +98 21 66012983
E-mail: [email protected]

Received Date: August 24, 2010; Accepted Date: October 25, 2010; Published Date: October 27, 2010

Citation: Mohsen T, Fariba F, Fatemeh D, Zamani Z, Fatemeh P (2010) A Metabonomic Study on Samples of Cutaneous Leishmaniasis and its Correlation with the Selenium Level in the Blood Serum. J Mol Biomark Diagn 1:101. doi:10.4172/2155-9929.1000101

Copyright: © 2010 Mohsen T, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

This paper presents the result of extensive experiments on the blood serum samples of 20 leishmaniasis patients and 44 healthy individuals using nuclear magnetic resonance (NMR) spectroscopy and the Chenomx software. The concentrations of selenium in all 64 serum samples were also measured using an atomic absorption device. The healthy and patient groups were completely differentiated using the partial least square method (PLS). In addition, important variables that could highly infl uence the group of patients were detected by the PLS loading plot. This paper also presents the results corresponding to linear and non-linear modeling of selenium concentration in serum. Stepwise multiple linear regression (MLR) was used to select the fi ve most important descriptors. In the multiple linear regression modeling approach the results obtained for R2 training, test and validation sets were 0.98, 0.97 and 0.94 respectively. Employing the same descriptors in the MLR modeling approach, a non-linear artifi cial neural network (ANN) with a 5-3- 1 structure was constructed; the results obtained from this model showed no signifi cant improvement compared with those of MLR. There was good agreement between the experimental values of selenium concentration and the values from the two models.

Keywords

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