Universal, untargeted detection of bacteria in tissues using metabolomics workflows
2025

Detecting Bacteria in Tissues Using Metabolomics

Sample size: 44 publication 10 minutes Evidence: moderate

Author Information

Author(s): Chen Wei, Qiu Min, Paizs Petra, Sadowski Miriam, Ramonaite Toma, Zborovsky Lieby, Mejias-Luque Raquel, Janßen Klaus-Peter, Kinross James, Goldin Robert D., Rebec Monica, Liebeke Manuel, Takats Zoltan, McKenzie James S., Strittmatter Nicole

Primary Institution: Technical University of Munich

Hypothesis

Can small molecular metabolites be used as taxon-specific markers for the direct detection of bacteria in complex biological samples?

Conclusion

The study demonstrates that taxon-specific markers can effectively identify bacterial presence in various tissue samples using mass spectrometry.

Supporting Evidence

  • 359 taxon-specific markers were identified for bacterial detection.
  • Markers were found in over 90% of analyzed samples.
  • TSMs were validated in both healthy and cancerous tissues.

Takeaway

Researchers found a way to spot bacteria in tissues using tiny molecules, which could help doctors diagnose infections faster.

Methodology

The study utilized mass spectrometry to analyze bacterial small molecular metabolites in clinical samples.

Potential Biases

Potential bias due to the limited number of bacterial species in the training dataset.

Limitations

The study's database only includes 233 bacterial species, which may not cover all clinically relevant pathogens.

Participant Demographics

Human colorectal tissue samples from cancerous and healthy individuals.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1038/s41467-024-55457-7

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