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• Mass spectrometer identifies pathogens directly in tissue and stool samples
• So far 232 medically important bacterial species detectable
• Database must now be further expanded
Speed and reliability are crucial in the diagnosis of diseases. Researchers at the Technical University of Munich (TUM) and Imperial College London have developed a new method to identify bacteria with unprecedented speed. This means that the waiting time can be reduced from several days to just a few minutes.
Traditionally, bacterial diseases are diagnosed by the tedious isolation of pathogens and the creation of bacterial cultures. Waiting times of several days are the rule here. Only then can the targeted treatment of the disease begin. The team led by Nicole Strittmatter, Professor of Analytical Chemistry at TUM, and Dr. James S. McKenzie (Imperial) uses mass spectrometry for its innovative approach. This enabled the researchers to identify specific metabolic products of bacteria directly in tissue and stool samples.
At the heart of the process is a database in which 232 medically important bacterial species and their metabolic products have been recorded to date. Biomarkers are derived from this database, which can then be used to directly detect specific bacteria. Among the bacteria that can be identified using the new method are clinically extremely important pathogens that can, for example, trigger stomach cancer, are responsible for certain pneumonias and meningitis, are associated with premature births, and can cause gonorrhea or blood poisoning.
Further expanding the bacterial database
First author Wei Chen, PhD student at the Department of Bioscience at the TUM School of Natural Sciences in Garching, emphasizes: "Our innovative approach is not to look directly for the pathogenic bacteria, but only for their metabolic products. This allows us to detect them indirectly, but much more quickly."
Prof. Nicole Strittmatter also sees great opportunities for use in personalized medicine, in which the therapy is precisely tailored to the respective patient: "This is one of the most important future topics in biotechnology and medicine. Targeted interventions can dramatically improve the chances of successful treatment. As analysts, we develop modern tools and methods for doctors to do this."
The biomarker database now needs to be further expanded to enable the regular use of the new method in clinical practice. According to the researchers, a total of over 1400 bacterial pathogens are known and described. Their specific metabolic products should now be identified and included.
Additional material for media outlets:
Photos for download: https://go.tum.de/912705
TUM Corporate Communications Center contact:
Ulrich Meyer
Press Spokesman
+49 89 289 22779
presse@tum.de
www.tum.de
Prof. Nicole Strittmatter, PhD
Technical University of Munich
Chair of Analytical Chemistry
TUM School of Natural Sciences - Department of Biosciences
+49 89 289 13321
nicole.strittmatter@tum.de
Chen, W., Qiu, M., Paizs, P. et al. Universal, untargeted detection of bacteria in tissues using metabolomics workflow, published in: Nat Commun 16, 165 (2025). https://doi.org/10.1038/s41467-024-55457-7
Professor Nicole Strittmatter (left) and first author Wei Chen stand in front of the mass spectromet ...
Robert Reich / TUM
Robert Reich / TUM
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Professor Nicole Strittmatter (left) and first author Wei Chen stand in front of the mass spectromet ...
Robert Reich / TUM
Robert Reich / TUM
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