From Biological Exploration to Clinical Translation: Lipoproteins in Inflammation Response

Date:
Time (ET):
3:00 PM
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  • Clinical researchers: Biologists, biochemists, and analytical scientists investigating or interested in expanding research into acute and chronic inflammation linked to the onset of cardiovascular disorders, metabolic syndrome, and related fields.
  • Scientists working in human metabolomics research seeking to expand their expertise into standardized NMR-based Metabolomics.
  • Graduate students and postdoctoral fellows: Those seeking advanced knowledge and practical skills in applying NMR in human health and inflammation disease.
  • Industry professionals: Scientists and R&D personnel in pharmaceutical, biotechnology, and nutritional companies doing research and developing therapeutic and diagnostic solutions related to inflammation

Webinar Summary

  • Innovative NMR Techniques: Learn about Bruker's diffusion and relaxation-edited NMR experiments, which led to a model-free inflammatory panel featuring SPC1, SPC2, SPC3, GlycA, and GlycB peaks.
  • Comprehensive Data Analysis: Discover how these five parameters enable the construction of a molecular multivariate map of acute and chronic inflammatory phenotypes across multiple disease and population cohorts (N = 5000).
  • Translational Technology: Understand the potential of benchtop NMR spectrometers for predicting lipoprotein parameters and fractions.
  • Clinical Research Applications: Learn how self-administered capillary blood samples can eliminate the need for venipuncture, opening new avenues for sampling in remote areas or for high-frequency longitudinal studies.

Webinar Topics

Bruker Corporation

Featuring Insights from

Julien Wist

PhD

Murdoch University (Centre for Computational and Systems Medicine, Health Futures Institute)
Professor & Deputy Director

Prof. Julien Wist is currently the Deputy Director of the Centre for Computational and Systems Medicine at Murdoch University and head of operations and lead of the bio-/ chem-informatics team at the Australian National Phenome Centre consisting of software engineers, biostatisticians, chemometricians, and data processing experts to develop analytical pipelines for metabolic phenotyping.

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