Network modeling of gene expression microarray in patients with obesity and relationship with lactobacillus probiotic intake

Abstract

The gene expression through microarray technique is a current topic in the field of nutrigenomics for researching the complex gene networks and relationship with nutrition. DNA Microarrays has been used to quantify and compare gene expression on a large scale and to explore a major subset or all genes of an organism. As a consequence, formal methods and computer tools for the modeling and simulation of gene networks are indispensable. We identified the genes associated to the obesity susceptible to modify their expression level in a profile of microarray data and the possible relationship with some bioactive components present in lactobacillus gasseri probiotic. Using international microarray databases, we analyzed responsible obesity genes and the role of probiotic intake in the gene expression for some specific genes (LEP, LEPR, FTO y PPARg2) to study the interaction patterns networks between them. In addition, we reviewed the clustering of gene networks by applying the mathematical procedure principal component analysis (PCA) to the gene expression data point by introducing an interaction between neighboring points. The identification and comparison of gene expression levels associated with obesity will help to guide future research work focus on effective treatments for patients with this disease. As well, these networks may help to analyze dietary variables associated with probiotics intake, to prevent health problems like obesity and type 2 diabetes and to obtain evidence of their interaction with certain human genome modules based on their analysis of the expression microarray data. This integrative analysis offers a new conceptual framework that could expand our knowledge of nutrigenomics and some human pathologies.

Administration of Exogenous Melatonin Improves the Diurnal Rhythms of the Gut Microbiota in Mice Fed a High-Fat Diet

“…In addition, Lactobacillus, Bacteroides, Helicobacter, Parabacteroides, Ruminiclostridium, Rikenella, and Alistipes were correlated with serum TG, and Rikenella, Alistipes, and Clostridiales were closely associated with LDL concentration. Among these genera, Lactobacillus has been extensively studied and has been shown to be involved in lipid accumulation (41)(42)(43), which is markedly enhanced in HFD-fed mice and reversed by administration of melatonin (17). Our previous study indicated that Bacteroides-and Alistipes-derived acetic acids target host lipid metabolism (17), which is further corroborated by the present data showing that both Bacteroides and Alistipes were markedly associated with serum TG or LDL.…”

Nutrición personalizada para pacientes con enfermedad de Alzheimer

“…La Universidad Iberoamericana León y su grupo de investigación en Nutrigenómica han venido desarrollando investigaciones para conocer cuáles son las propiedades de estas redes génicas y su interacción con los nutrimentos. Dichas investigaciones se desprenden de técnicas moleculares La enfermedad de Alzheimer tiene genes responsables con ubicaciones e interacciones precisas con micronutrimentos experimentales a partir de microarreglos y en análisis de datos basados en Bioinformática y modelos matemáticos de aplicación científica [1][2][3]. En este artículo se presentan algunos resultados de investigación de la Nutrigenómica del Alzheimer en colaboración con el Instituto de Alzheimer de la ciudad de León, Guanajuato.…”