Multi-tissue Time-domain NMR Metabolomics for Robust and Accurate Assessment of Dietary Effects

Author

Hayden Johnson

Date

2022

Document Type

Thesis

Degree Name

Master of Science

Department

Biomedical Engineering

Committee Chair

Aaryani Tipirneni-Sajja

Committee Member

Amy de Jongh Curry

Committee Member

Melissa Puppa

Abstract

Nuclear magnetic resonance (NMR) spectroscopy is a quantitative, non-destructive analytical technique for identifying and quantifying metabolites. Conventional quantitative NMR analysis involves processing the recorded time-domain signal into a frequency-domain spectrum along with user-dependent processing and resonance characterization steps which may introduce bias and error. This study implements a Bayesian approach for data analysis in the time-domain to bypass these drawbacks and increase automation in metabolite quantification. The time-domain workflow is first assessed using metabolite reference standards to validate accurate resonance identification and quantification before profiling metabolites in liver, heart, and white adipose tissue of a diurnal animal model, the Nile grass rat. Animals on high-fat diet exhibited accumulation of lipids in the heart and liver. A time-restricted feeding diet was associated with decreased cardiac and hepatic lipid levels. This study demonstrates the validity of systematic Bayesian time-domain NMR data analysis and its application to understanding tissue-level responses to diet.

Comments

Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to ProQuest.

Notes

Open access

Recommended Citation

Johnson, Hayden, "Multi-tissue Time-domain NMR Metabolomics for Robust and Accurate Assessment of Dietary Effects" (2022). Electronic Theses and Dissertations. 3390.
https://digitalcommons.memphis.edu/etd/3390