From Biological Exploration to Clinical Translation: Lipoproteins in Inflammation Response

Date:
Time (PT):
3:00 PM
  • 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

Presenters

Julien Wist

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.

Read More

Related Content

Related Content