Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours
Mishra, Surbhi; Tejesvi, Mysore Vishakantegowda; Hekkala, Jenni; Turunen, Jenni; Kandikanti, Niyati; Kaisanlahti, Anna; Suokas, Marko; Leppä, Sirpa; Vihinen, Pia; Kuitunen, Hanne; Sunela, Kaisa; Koivunen, Jussi; Jukkola, Arja; Kalashnikov, Ilja; Auvinen, Päivi; Kääriäinen, Okko-Sakari; Peñate Medina, T; Peñate Medina, O; Saarnio, Juha; Meriläinen, Sanna; Rautio, Tero; Aro, Raila; Häivälä, Reetta; Suojanen, Juho; Laine, Mikael; Erawijattari, Pande Putu; Lahti, Leo; Karihtala, Peeter; Ruuska, Terhi S; Reunanen, Justus (2024-03-07)
Mishra, Surbhi
Tejesvi, Mysore Vishakantegowda
Hekkala, Jenni
Turunen, Jenni
Kandikanti, Niyati
Kaisanlahti, Anna
Suokas, Marko
Leppä, Sirpa
Vihinen, Pia
Kuitunen, Hanne
Sunela, Kaisa
Koivunen, Jussi
Jukkola, Arja
Kalashnikov, Ilja
Auvinen, Päivi
Kääriäinen, Okko-Sakari
Peñate Medina, T
Peñate Medina, O
Saarnio, Juha
Meriläinen, Sanna
Rautio, Tero
Aro, Raila
Häivälä, Reetta
Suojanen, Juho
Laine, Mikael
Erawijattari, Pande Putu
Lahti, Leo
Karihtala, Peeter
Ruuska, Terhi S
Reunanen, Justus
Elsevier
07.03.2024
Mishra, S., Tejesvi, M. V., Hekkala, J., Turunen, J., Kandikanti, N., Kaisanlahti, A., Suokas, M., Leppä, S., Vihinen, P., Kuitunen, H., Sunela, K., Koivunen, J., Jukkola, A., Kalashnikov, I., Auvinen, P., Kääriäinen, O.-S., Peñate Medina, T., Peñate Medina, O., Saarnio, J., … Reunanen, J. (2025). Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours. Journal of Advanced Research, 68, 375–386. https://doi.org/10.1016/j.jare.2024.03.003.
https://creativecommons.org/licenses/by/4.0/
© 2023 The Authors. Published by Elsevier B.V. on behalf of Cairo University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
https://creativecommons.org/licenses/by/4.0/
© 2023 The Authors. Published by Elsevier B.V. on behalf of Cairo University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202405273951
https://urn.fi/URN:NBN:fi:oulu-202405273951
Tiivistelmä
Abstract
Introduction:
Gut microbiome–derived nanoparticles, known as bacterial extracellular vesicles (bEVs), have garnered interest as promising tools for studying the link between the gut microbiome and human health. The diverse composition of bEVs, including their proteins, mRNAs, metabolites, and lipids, makes them useful for investigating diseases such as cancer. However, conventional approaches for studying gut microbiome composition alone may not be accurate in deciphering host–gut microbiome communication. In clinical microbiome research, there is a gap in the knowledge on the role of bEVs in solid tumor patients.
Objectives:
Analyzing the functionality of bEVs using (meta)genomics and proteomics could highlight the unique aspects of host–gut microbiome interactions in solid tumor patients. Therefore, we performed a comparative analysis of the proteome and microbiota composition of gut microbiome-derived bEVs isolated from patients with solid tumors and healthy controls.
Methods:
After isolating bEVs from the feces of solid tumor patients and healthy controls, we performed spectrometry analysis of their proteomes and next-generation sequencing (NGS) of the 16S gene. We also investigated the gut microbiomes of feces from patients and controls using 16S sequencing and used machine learning to classify the samples into patients and controls based on their bEVs and fecal microbiomes.
Results:
Solid tumor patients showed decreased microbiota richness and diversity in both the bEVs and feces. However, the bEV proteomes were more diverse in patients than in the controls and were enriched with proteins associated with the metabolism of amino acids and carbohydrates, nucleotide binding, and oxidoreductase activity. Metadata classification of samples was more accurate using fecal bEVs (100%) compared with fecal samples (93%).
Conclusion:
Our findings suggest that bEVs are unique functional entities. There is a need to explore bEVs together with conventional gut microbiome analysis in functional cancer research to decipher the potential of bEVs as cancer diagnostic or therapeutic biomarkers.
Introduction:
Gut microbiome–derived nanoparticles, known as bacterial extracellular vesicles (bEVs), have garnered interest as promising tools for studying the link between the gut microbiome and human health. The diverse composition of bEVs, including their proteins, mRNAs, metabolites, and lipids, makes them useful for investigating diseases such as cancer. However, conventional approaches for studying gut microbiome composition alone may not be accurate in deciphering host–gut microbiome communication. In clinical microbiome research, there is a gap in the knowledge on the role of bEVs in solid tumor patients.
Objectives:
Analyzing the functionality of bEVs using (meta)genomics and proteomics could highlight the unique aspects of host–gut microbiome interactions in solid tumor patients. Therefore, we performed a comparative analysis of the proteome and microbiota composition of gut microbiome-derived bEVs isolated from patients with solid tumors and healthy controls.
Methods:
After isolating bEVs from the feces of solid tumor patients and healthy controls, we performed spectrometry analysis of their proteomes and next-generation sequencing (NGS) of the 16S gene. We also investigated the gut microbiomes of feces from patients and controls using 16S sequencing and used machine learning to classify the samples into patients and controls based on their bEVs and fecal microbiomes.
Results:
Solid tumor patients showed decreased microbiota richness and diversity in both the bEVs and feces. However, the bEV proteomes were more diverse in patients than in the controls and were enriched with proteins associated with the metabolism of amino acids and carbohydrates, nucleotide binding, and oxidoreductase activity. Metadata classification of samples was more accurate using fecal bEVs (100%) compared with fecal samples (93%).
Conclusion:
Our findings suggest that bEVs are unique functional entities. There is a need to explore bEVs together with conventional gut microbiome analysis in functional cancer research to decipher the potential of bEVs as cancer diagnostic or therapeutic biomarkers.
Kokoelmat
- Avoin saatavuus [36502]