Metabolomics Biomarkers

With diverse chromatographic and high-resolution mass spectrometric equipment, MEDINA offers a data-driven strategy supported by its bioanalytical platforms to perform targeted and untargeted analyses, following the search and validation steps of metabolomics biomarkers.

The detection of metabolites involved in human diseases can be used to develop new biomarkers, using cells, tissues, organs, or biological fluids. Among the analytical techniques that can be employed in metabolomics applications, mass spectrometry (MS) in combination with separation techniques, such as liquid chromatography (LC) or gas chromatography (GC,) enables the quantitative detection of multiple small molecule metabolites, providing an efficient method for monitoring changes in concentrations and fluxes of specific endogenous metabolites involved in key disease-related or other specific cellular pathways.

Our LC-MS GC-MS metabolomics platform provides state-of-the-art capabilities in terms of sample preparation, instrumentation (LC-QTOF and LC-triple quadrupole and GC-MS simple quad configurations for metabolite profiling and targeted metabolite profiling, respectively), innovative model building, and access to proprietary spectral databases for metabolite identification.

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Metabolomics Biomarkers Services

  • Data curation in metabolomics requires eliminating noisy and biologically irrelevant features to retain only high-quality data for subsequent analysis and interpretation.  In this regard, we apply an adaptable strategy according to the specific metabolomics application, to obtain clean matrices for subsequent statistical analysis
  • Metabolomics generates large amounts of data. At MEDINA, we have a broad range of Bioinformatics tools for metabolomics, including software libraries, standalone tools, and web-based tools and services, which enable us to successfully handle, process and analyze the voluminous data.
  • Biological interpretation of metabolomics data rests on two main pillars: metabolite identification and functional analysis. At MEDINA, these two concepts are applied in a matched means to generate reliable data understanding.
  • Applications in human health:
    • Early diagnosis of diseases
    • Better understanding of the pathophysiology of disease
    • Translational medicine
    • Preclinical biomarkers as evidence of drug efficacy
    • Personalized medicine
  • Applications in agriculture
  • Applications in microbiology
  • Applications in drug metabolism
  • Applications in microbiome studies
  • Therapeutic areas:
    • Oncology
    • Cardiology
    • Diabetes
    • Anti-infectives
    • Aging