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Sciencewerke & HMT: Metabolomics in Infectious Disease Research

What is Metabolomics?

Metabolomics is defined as the comprehensive analysis of the types and concentrations of metabolites. When metabolism is affected by external stimuli (environmental changes such as temperature, light, drug intake, etc.) or diseases, the types, and concentrations of metabolites in the cells can also change. By analysing these metabolic changes, it is possible to search for biomarkers, and develop and test hypotheses about the organism’s metabolism.

Metabolomics Application in Infectious Disease Research

Metabolomics help to reveal specific metabolic alterations and potential biomarkers that are associated with disease severity in patients with systemic infections.
Great potential for exploring predictive and risk markers of disease development, and contributes to the treatment and prevention of infectious diseases.

HMT’s metabolome analysis employs CE-MS & LC-MS platforms. The technologies are optimized to measure metabolites related to cellular energy metabolism, e.g., amino acids, short-chain fatty acids, polyamines in most types of samples, including:

Fecal matter
Animal models
Clinical specimens

HMT’s metabolomics also supports studies on Covid-19.


Over 100 polar metabolites, many of which can be altered in pathogenic infections, are quantifiable with single- or multi-point calibration.

High Resolution

Good separation of structural isomers e.g., isobaric fatty acids, oxidative products.

Click here to view HMT’s range of Analysis Plans available, based on different metabolites and metabolic pathways.

Additional Resources :

Metabolic perturbations and cellular stress underpin susceptibility to symptomatic live-attenuated yellow fever infection – Nature Medicine, 2019 (IF: 87.241)
Metabolic crosstalk regulates Porphyromonas gingivalis colonization and virulence during oral polymicrobial infection – Nature Microbiology, 2017 (IF: 30.964)
Commensal-derived metabolites govern Vibrio cholerae pathogenesis in host intestine – Microbiome, 2019 (IF: 16.837)

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