Machine learning models reveal microbial signatures in healthy human tissues, challenging the sterility of human organs
The presence of tissue-specific microbial signatures in certain tissues suggests that these organs are not devoid of microorganisms even in healthy conditions and probably they harbor low-biomass microbial communities unique to each tissue. The discoveries presented here confront the enduring dogma positing the sterility of internal tissues, yet further validation through controlled laboratory experiments is imperative to substantiate this hypothesis. Exploring the microbiome of internal tissues holds promise for elucidating the pathophysiology underlying both health and a spectrum of diseases, including sepsis, inflammation, and cancer.
Authors
- Giorgos Skoufos (ORCID: https://orcid.org/0000-0001-9022-6334)
- Anargyros Skoulakis (ORCID: https://orcid.org/0009-0009-6257-5284)
- Armen Ovsepian (ORCID: https://orcid.org/0000-0001-5472-3747)
- Artemis G. Hatzigeorgiou (ORCID: https://orcid.org/0000-0003-1414-5668)
Institutions
- University of Thessaly (GR)
- Pasteur Hellenic Institute (GR)
Publication Details
- Journal
- Frontiers in Microbiology
- Published
- 2025-01-27
- DOI
- https://doi.org/10.3389/fmicb.2024.1512304
- Citations
- 1
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.81