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1H-NMR based metabolomic study for identifying serum metabolite profiles associated with thyroid functional disorders
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Metabolomics:Open Access

ISSN: 2153-0769

Open Access

1H-NMR based metabolomic study for identifying serum metabolite profiles associated with thyroid functional disorders


8th International Conference and Exhibition on Metabolomics & Systems Biology

May 08-10, 2017 Singapore

Sirisha Katukuri and Akella V S Sarma

CSIR-Indian Institute of Chemical Technology, India

Posters & Accepted Abstracts: Metabolomics

Abstract :

Metabolomics, a Systems Biology approach focused on the global study of the metabolome, offers a tremendous potential in the analysis of fluid samples. Metabolome represents the complete set of small-molecule metabolites within a biofluid, which are end of products of cellular processes. Metabolomics enables to noninvasively identify the metabolites through 1H-NMR spectroscopy that could translate into early therapeutic interventions. NMR has the ability to detect and reproduce metabolic components, even at very low concentrations. A thyroid disease is a medical condition impairing the function of the thyroid gland. In this study, we focus on two types of thyroid diseases which are hypothyroidism and hyperthyroidism. Hypothyroidism refers to any state in which a person's thyroid hormone production is below normal whereas hyperthyroidism is a state where the production of thyroid hormone is above the normal level. The aim of this study is to identify and distinguish different disease biomarkers that affect the hypo and hyperthyroidism with healthy controls. A Carr Purcell Meiboom Gill (CPMG) pulse sequence encoded with presaturation along with a 1H, 13C heteronuclear correlation experiment is used to individually identify the serum metabolic profiles in a healthy as well as thryoid affected blood serum samples. Principal component analysis is done by MetaboAnalyst. Initially, we have compared few thyroid serum samples with healthy controls and we observed significant differences between the two groups. Scores plot of PLS-DA analysis showing differences in the metabolites and the relative concentrations of healthy and thyroid affected sera.

Biography :

Email: sirisha.pialla@gmail.com

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