Molecular signatures for obesity and associated disorders identified through partial least square regression models

Background Obesity is now a worldwide epidemic disease and poses a major risk for diet related diseases like type 2 diabetes, cardiovascular disease, stroke and fatty liver among others. In the present study we employed the murine model of diet-induced obesity to determine the early, tissue-specific...

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Bibliographic Details
Published in:	BMC systems biology 2014-08, Vol.8 (1), p.104-104, Article 104
Main Authors:	Sinha, Neeraj, Sharma, Sachin, Tripathi, Parul, Negi, Simarjeet Kaur, Tikoo, Kamiya, Kumar, Dhiraj, Rao, Kanury VS, Chatterjee, Samrat
Format:	Article
Language:	English
Subjects:	Algorithms Analysis Animal experimentation Animals Ayurvedic medicine Bioinformatics Biomarkers - metabolism Biomedical and Life Sciences Blood Blood Glucose Body Weight Cardiovascular disease Cardiovascular diseases Cellular and Medical Topics Computational Biology/Bioinformatics Cytokines Cytokines - blood Data analysis Diabetes Diabetes Mellitus, Type 2 - genetics Diabetes Mellitus, Type 2 - metabolism Diet Diet, High-Fat Discriminant analysis Drug dosages Experiments Gene expression Genes Genetic engineering Glucose Laboratory animals Least-Squares Analysis Life Sciences Liver Medical research Medicine, Ayurvedic Metabolic disorders Mice Mice, Inbred C57BL Microarray Analysis Obesity Obesity - genetics Obesity - metabolism pharmacology and medicine Physiological Physiological aspects Physiology Proteins Research Article Risk factors Rodents Simulation and Modeling Sucrose Systems Biology Systems physiology Transcriptome - physiology
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