Nuclear Magnetic Resonance

Early disease detection performing NMR - For Research Only

This webinar took place on September 02, 2018

Webinar Overview

Understanding how a better analysis of metabolites in serum and urine can help. 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. 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.

September 02, 2018

What to Expect

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.

Key Topics

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

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

Who Should Attend?

The webinar will be of interest to people performing human metabolomics studies and clinical trials, clinicians, metabolomics researchers who work in industry, private organizations 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


Professor Elaine Holmes

Professor of Chemical Biology and the Head of the Division of Computational and Systems Medicine at Imperial College London - United Kingdom

Professor Elaine Holmes is a Professor of Chemical Biology and the Head of the Division of Computational and Systems Medicine at Imperial College London with over 20 years of experience in metabolic research.

Professor Claudio Luchinat

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

Full Professor of Chemistry at the University of Florence, co-founder and Director of CERM (Center of Magnetic Resonance), and of CIRMMP (Interuniversity Consortium on Magnetic Resonance of MetalloProteins). His research interests include development of NMR-based structural methodologies, electron and nuclear relaxation, NMR of paramagnetic species, relaxometry, bioinorganic chemistry, and metabolomics.


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