Ilce Medina Meza, Ph.D.

Ilce Medina Meza

Contact Me

Associate Professor
Department of Biosystems & Agricultural Engineering

Phone:
517-884-1971 / Lab Phone: 517-355-4068

Email:

Degrees:
Ph.D . Food Science. Technological Institute of Veracruz, 2011

M.Sc. Chemical Engineering. Technological Institute of Orizaba. 2002

B.S. Chemical Engineering. Technological Institute of Orizaba. 1998

Publications, Awards, Grants, and Patents

MSU Scholar

Biography

Effects of oxidative stress on peroxidation of lipids and steroids. The goals of our laboratory are elucidate molecular mechanisms governing oxidative stress, and to translate our findings to develop biomarkers for prevention and treatment of chronic diseases (e.g. cardiovascular and neurodegenerative diseases). Current projects are focused on 1) developing drug modulators of cholesterol oxidation to damp inflammation on cardiovascular disease, and 2) metabolomic mapping of oxysterols and other lipid peroxides for risk assessment in highly susceptible populations, 3) Fingerprinting of plant secondary metabolites and understanding its role in life processes.

Our research group focuses in the following omics areas

  1. Lipidomics: Mechanism of free radicals reactions on lipids, steroids and lipoproteins (e.g., LDL and HDL) using model, in vitro and in vivo systems. Critical for this research is to determine the products of lipid oxidation and the molecular mechanisms by which these compounds contribute to major chronic diseases.

  2. Metabolomics: Plant secondary metabolites fingerprinting, developing new strategies for its identification by metabolomics mass spectrometry methods GC-MS, LC/MS/MS, IF-TR, EPR and NMR, as well as modelling of metabolic pathways to understand its role on life processes.

  3. Processomics: Understanding the impact of traditional and novel processing technologies on the bioavailability and functionality of phytochemicals on food systems. A novel kinetic approach is used for mechanistic and predictive modelling through Chemical Reaction Networks. We rely in several mathematical and multivariate statistical approaches (parametric and non-parametric statistics, and chemical reaction networks, among others).

Research Interests

Health and Food: Health Engineering

Websites

Google Scholar

Food and Health Engineering Lab

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