Prevotellaceae: NCBI 171552, [family]

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| Prevotellaceae| Prevotellaceae Krieg 2012

1. Gut Microbiota Composition: Prevotellaceae bacteria are part of the complex microbial community in the human gut. The composition of the gut microbiota, including the abundance of Prevotellaceae, can be influenced by various factors such as diet, lifestyle, and host genetics.

2. Dietary Influences: Prevotellaceae bacteria are associated with diets that are rich in plant-based fibers and carbohydrates. They are known to thrive in environments where these substrates are available. Therefore, the abundance of Prevotellaceae can be influenced by dietary patterns, such as high-fiber diets.

3. Short-Chain Fatty Acid Production: Prevotellaceae, like other bacteria in the gut microbiota, are involved in the fermentation of dietary fibers. This fermentation process produces short-chain fatty acids (SCFAs), including acetate, propionate, and butyrate. SCFAs contribute to gut health by providing an energy source for colonocytes, maintaining gut barrier function, and exhibiting anti-inflammatory effects.

4. Associations with Health Conditions: The abundance of Prevotellaceae has been associated with certain health conditions. For example, higher levels of Prevotellaceae have been reported in individuals with plant-rich diets and are sometimes associated with a gut microbiota profile associated with reduced risk of certain diseases. However, the relationship between Prevotellaceae abundance and health outcomes is complex and may depend on various factors.

5. Potential Roles in Immunomodulation: Some studies suggest that Prevotellaceae bacteria may play a role in immunomodulation. They are believed to interact with the host's immune system and contribute to the development and maintenance of a balanced immune response.

6. Influence on Metabolic Health: Prevotellaceae abundance has been linked to metabolic health parameters. Some studies have reported associations between the presence of Prevotellaceae and metabolic conditions, including obesity and metabolic syndrome. However, the specific mechanisms underlying these associations are still an area of active research.

Other Sources for more information:

• Immune Epitope Database
• The NCBI taxonomy database
• UniProt
• Immune Epitope Taxonomy Database (IEDB)
• AI Engines For more Details: Perplexity  Kagi Labs  You 

Legend

• The interactions are based on data from 1000 healthy individuals using shotgun 10M reads Precision Biome, a provider in full conformity to EU regulations for health information
• The width of the lines indicates R² (the coefficient of determination)
• Green indicates positive slope
• Red indicates negative
• Interactions are not two way because incidence of each bacteria are different

Prevotellaceae impacts on other bacteria of the same rank

R2	Slope	Tax Name	Parent Chart
0.3182208240032196	0.5735049247741699	Pseudoalteromonadaceae	Parent Taxa
0.3096715807914734	0.5554825067520142	Odoribacteraceae	Parent Taxa
0.2513260245323181	0.5019523501396179	Malasseziaceae	Parent Taxa

Other bacteria of the same rank impacting Prevotellaceae

R2	Slope	Tax Name	Parent Chart
0.31474947929382324	0.5639883279800415	Odoribacteraceae	Parent Taxa
0.28111809492111206	0.5996427536010742	Selenomonadaceae	Parent Taxa