Production, analysis, and safety assessment of a soil and plant-based natural material with microbiome- and immune-modulatory effects
Parajuli, Anirudra; Mäkelä, Iida; Roslund, Marja I.; Ringqvist, Emma; Manninen, Juulia; Sun, Yan; Nurminen, Noora; Oikarinen, Sami; Laitinen, Olli H.; Hyöty, Heikki; Flodström-Tullberg, Malin; Sinkkonen, Aki (2024)
Lataukset
Parajuli, Anirudra
Mäkelä, Iida
Roslund, Marja I.
Ringqvist, Emma
Manninen, Juulia
Sun, Yan
Nurminen, Noora
Oikarinen, Sami
Laitinen, Olli H.
Hyöty, Heikki
Flodström-Tullberg, Malin
Sinkkonen, Aki
Julkaisusarja
Methods
Volyymi
231
Sivut
94-102
Academic Press
2024
Julkaisun pysyvä osoite on
http://urn.fi/URN:NBN:fi-fe2024092775146
http://urn.fi/URN:NBN:fi-fe2024092775146
Tiivistelmä
It has been suggested that reduced contact with microbiota from the natural environment contributes to the rising incidence of immune-mediated inflammatory disorders (IMIDs) in western, highly urbanized societies. In line with this, we have previously shown that exposure to environmental microbiota in the form of a blend comprising of soil and plant-based material (biodiversity blend; BDB) enhances the diversity of human commensal microbiota and promotes immunoregulation that may be associated with a reduced risk for IMIDs. To provide a framework for future preclinical studies and clinical trials, this study describes how the preparation of BDB was standardized, its microbial content analysed and safety assessments performed. Multiple batches of BDB were manufactured and microbial composition analysed using 16S rRNA gene sequencing. We observed a consistently high alpha diversity and relative abundance of bacteria normally found in soil and vegetation. We also found that inactivation of BDB by autoclaving effectively inactivates human and murine bacteria, viruses and parasites. Finally, we demonstrate that experimental mice prone to develop IMIDs (non-obese diabetic, NOD, mouse model) can be exposed to BDB without causing adverse effects on animal health and welfare. Our study provides insights into a potentially safe, sustainable, and cost-effective approach for simulating exposure to natural microbiota, which could have substantial impacts on health and socio-economic factors.
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