Webinars

AUG 30, 2018 1:00 AM CEST

Early disease detection performing NMR - Understanding how a better analysis of metabolites in serum and urine can help (For research use only)

Sponsored by: Bruker Microbiology & Diagnostics

Speakers

Elaine Holmes

Professor of Chemical Biology and the Head of the Division of Computational and Systems Medicine at Imperial College London
BIOGRAPHY
Claudio Luchinat

Professor of Chemistry and Co-founder/Director of the Center of Magnetic Resonance (CERM) at the University of Florence
BIOGRAPHY

Abstract

DATE: August 30, 2018

TIME: 10:00am CEST, 4:00pm CST

Quantification in body fluids like plasma/serum and urine is valuable because it provides information on endogenous compounds produced in the body as well as capturing drugs and their metabolites, in addition lifestyle-based molecules can be recognized, be it from nutritional habits or physical activity. By performing NMR on body fluid samples, the role of the metabolites is identified in a multitude of conditions, like IBD, cardiovascular, obesity and diabetes. Being able to profile the metabolome and its changes over time in body fluids is particularly relevant in the clinical area as a potential diagnostic tool and in early disease detection and prevention either on a personal or population wide level.

Standardized NMR can identify metabolites in a wide concentration range in body fluids. Highly efficient analysis software provided by Bruker can quantify a multitude of small molecules in urine and plasma/serum while delivering also lipoprotein subclass information in the latter in a fully automated approach

Prof. Luchinat will discuss the importance of targeted and nontargeted metabolomics NMR analysis in his research and highlight the impact of quantification information generated under standardized conditions on the Bruker IVDr platform. He will show the effect of being able to detect small molecules as well as lipoprotein information for the development of diagnostic tools e.g. in cardiovascular or cancer research.

Additionally, in this webinar Prof. Holmes, will highlight the reproducibility and transferability of NMR in a large ring test, compare quantification routines and their reliability and relevance to her research. She will also show examples using targeted and non-targeted analysis out of her research. The suitability of NMR for high throughput screening is discussed.

In this webinar, viewers can expect a discussion into how new methods of determining the concentration and type of metabolites in plasma/serum and urine have distinct advantages over current conventional methods, and how this new method can be used as a large-scale screening technique. Viewers can also expect to see how metabolic research can use NMR as a leading analysis tool for body fluids.

The main points that viewers can take away from the webinar will be:

The clinical translation of metabolomics research: metabolomics as a potential diagnostic tool for disease recognition and staging.
Now NMR can be used in high throughput metabolomics screening.
The robustness of standardized NMR technology, especially with regard to reproducibility and transferability.

The webinar will be of interest to people performing human metabolomics studies and clinical trials, clinicians, metabolomics researchers who work in industry, private organisations and academia, R&D professionals, healthcare professionals, food researchers, nutritionists, analytical service providers and NMR experts

Important note: The methods and solutions discussed during the webinar are for research use only and not for use in clinical diagnostic procedures.

Early disease detection performing NMR - Understanding how a better analysis of metabolites in serum and urine can help (For research use only)

Early disease detection performing NMR - Understanding how a better analysis of metabolites in serum and urine can help (For research use only)

Elaine Holmes

Claudio Luchinat

Early disease detection performing NMR - Understanding how a better analysis of metabolites in serum and urine can help (For research use only)