Gut microbiota-derived extracellular vesicles form a distinct entity from gut microbiota

Extracellular vesicles (EVs), nanoparticles secreted by both gram-negative and gram-positive bacteria, carry various biomolecules and cross biological barriers. Gut microbiota-derived EVs are currently being investigated as a communication mechanism between the microbiota and the host. Few clinical studies, however, have investigated gut microbiota-derived EVs. Here, we show that machine learning models were able to accurately distinguish gut microbiota and respective microbiota-derived EV samples according to their taxonomic composition both within each data set (area under the curve [AUC] 0.764-1.00) and in a cross-study setting (AUC 0.701-0.997). These results show that gut microbiota-derived EVs form a distinct taxonomic entity from gut microbiota. Thus, conventional gut microbiota composition may not correctly reflect communication between the gut microbiota and the host unless microbiota-derived EVs are reported separately.IMPORTANCEGut microbiota-derived extracellular vesicles (EVs) have been suggested to be a communication mechanism between the gut microbiota and the human body. However, the data on EV secretion from the gut microbiota remain limited. To investigate and compare the composition of gut microbiota-derived EVs to gut microbiota composition, we used a machine learning approach to classify 16S rRNA gene sequencing data in seven clinical data sets incorporating both gut microbiota and gut microbiota-derived EV samples. The results of the study show that microbiota-derived EVs form a separate taxonomic entity from the gut microbiota. Gut microbiota-derived EVs should be included in clinical studies that investigate gut microbiota to gain more comprehensive insight into gut microbiota-host communication.

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Publication Details

Journal
mSystems
Published
2025-04-29
DOI
https://doi.org/10.1128/msystems.00311-25
Citations
4
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
3.22

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article

Gut microbiota-derived extracellular vesicles form a distinct entity from gut microbiota

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Extracellular vesicles in disease
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article

Gut microbiota-derived extracellular vesicles form a distinct entity from gut microbiota

Sajeen Bahadur Amatya, Anna Kaisanlahti, Päivi Auvinen, Anatoly Samoylenko, Arja Jukkola‐Vuorinen, Johanna Krüger, Jussi Pekka Koivunen, Peeter Karihtala, Seppo Vainio, Geneviève Bart, Vesa Koivukangas, Sirpa Leppä, Mysore V. Tejesvi, Justus Reunanen, Surbhi Mishra, Jenni Turunen, Pia Vihinen, Niko Paalanne, Jenni Hekkala, Leo Lahti, Janne Hukkanen, Anne M. Portaankorva, Terhi Ruuska-Loewald, Sonja Karikka
article en
4 citations

Abstract

Extracellular vesicles (EVs), nanoparticles secreted by both gram-negative and gram-positive bacteria, carry various biomolecules and cross biological barriers. Gut microbiota-derived EVs are currently being investigated as a communication mechanism between the microbiota and the host. Few clinical studies, however, have investigated gut microbiota-derived EVs. Here, we show that machine learning models were able to accurately distinguish gut microbiota and respective microbiota-derived EV samples according to their taxonomic composition both within each data set (area under the curve [AUC] 0.764-1.00) and in a cross-study setting (AUC 0.701-0.997). These results show that gut microbiota-derived EVs form a distinct taxonomic entity from gut microbiota. Thus, conventional gut microbiota composition may not correctly reflect communication between the gut microbiota and the host unless microbiota-derived EVs are reported separately.IMPORTANCEGut microbiota-derived extracellular vesicles (EVs) have been suggested to be a communication mechanism between the gut microbiota and the human body. However, the data on EV secretion from the gut microbiota remain limited. To investigate and compare the composition of gut microbiota-derived EVs to gut microbiota composition, we used a machine learning approach to classify 16S rRNA gene sequencing data in seven clinical data sets incorporating both gut microbiota and gut microbiota-derived EV samples. The results of the study show that microbiota-derived EVs form a separate taxonomic entity from the gut microbiota. Gut microbiota-derived EVs should be included in clinical studies that investigate gut microbiota to gain more comprehensive insight into gut microbiota-host communication.

mSystemsVol. 10(5)
University of Helsinki (FI), University of Turku (FI), Tampere University (FI), University of Eastern Finland (FI), Oulu University Hospital (FI), Helsinki University Hospital (FI), Turku University Hospital (FI), Kuopio University Hospital (FI), Finland University (FI), University of Oulu (FI)
Academy of Finland, Suomen Kulttuurirahasto, Päivikki ja Sakari Sohlbergin Säätiö, Emil Aaltosen Säätiö, National Institutes of Health
Openalex Percentile: Top 9%
Extracellular vesicles in disease
3.22
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