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.

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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
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article

Machine learning models reveal microbial signatures in healthy human tissues, challenging the sterility of human organs

Giorgos Skoufos, Anargyros Skoulakis, Armen Ovsepian, Artemis G. Hatzigeorgiou
1 citations
Frontiers in Microbiology
Gut microbiota and health
0.81
article

Machine learning models reveal microbial signatures in healthy human tissues, challenging the sterility of human organs

Giorgos Skoufos, Anargyros Skoulakis, Armen Ovsepian, Artemis G. Hatzigeorgiou
article en
1 citations

Abstract

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.

Frontiers in MicrobiologyVol. 15
University of Thessaly (GR), Pasteur Hellenic Institute (GR)
Openalex Percentile: Top 31%
Gut microbiota and health
0.81
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Machine learning models reveal microbial signatures in healthy human tissues, challenging the sterility of human organs — Giorgos Skoufos, Anargyros Skoulakis, et al. · Frontiers in Microbiology (2025) | TGRS Research Map | TGRS