Parasutterella Details: NCBI 577310, gram-negative or unknown [genus]
| Parasutterella| Parasutterella Nagai et al. 2009
Gut Microbiota Member: Parasutterella is a genus of bacteria found in the human gut. It is one of the many bacterial taxa that contribute to the complex microbial community in the gastrointestinal tract.
Bacterial Diversity: The human gut harbors a diverse community of bacteria, and the composition of the gut microbiota can vary among individuals. Parasutterella is one of the less well-known genera, and its specific functions and interactions in the gut are areas of ongoing research.
Associations with Health: While the role of Parasutterella specifically in human health is not extensively studied, the overall balance and diversity of the gut microbiota have been linked to various aspects of health. Imbalances in the gut microbiota (dysbiosis) have been associated with conditions such as inflammatory bowel disease (IBD), obesity, and metabolic disorders.
Potential for Specific Functions: The specific functions of Parasutterella in the gut, its metabolic activities, and its interactions with host physiology are not fully characterized. Further research is needed to understand its role within the broader gut microbiome.
Context-Dependent Impact: The impact of Parasutterella on health may be context-dependent and influenced by factors such as diet, lifestyle, and the individual's overall health status.
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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
 Statistics
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NCBI | Data Punk | End Products Produced |
Lab Reporting
Different labs use different software to read the sample. See this post for more details.
One lab may say you have none, another may say you have a lot! - This may be solely due to the software they are using to estimate.
We deem lab specific values using values from the KM method for each specific lab to be the most reliable.
Desired Levels Suggestions for Parasutterella
- Frequency - how often do samples show this bacteria
- UD - An alternative statistical algorithm (which factors in the frequency)
- Kaltoft-Moldrup Heuristic Using uploaded data
- Lab Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
| Lab | Frequency | UD-Low | UD-High | KM Low | KM High | Lab Low | Lab High | Mean | Median | Standard Deviation | Box Plot Low | Box Plot High | KM Percentile Low | KM Percentile High |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Other Labs | 2.87 | 0 | 0 | 4 | 70594 | 0 | 24139 | 4451.9 | 1100 | 10044.5 | 0 | 7740 | 0 %ile | 100 %ile |
| thorne | 72.41 | 1 | 31 | 0 | 32 | 11.2 | 6 | 10.5 | 0 | 28 | 0 %ile | 100 %ile | ||
| thryve | 87.91 | 0 | 8264 | 35 | 12229 | 0 | 41650 | 6652.9 | 872 | 17855.6 | 0 | 15653 | 6.9 %ile | 90.6 %ile |
| ubiome | 70.72 | 0 | 4471 | 19 | 78334 | 0 | 42764 | 10179.7 | 2396 | 16624.8 | 0 | 27167 | 0 %ile | 98.7 %ile |
External Reference Ranges for Parasutterella
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Statistic by Lab Source for Parasutterella
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| AmericanGut | 6.667 % | 0.052 % | % | 1.0 | 15 |
| BiomeSightRdp | 25.806 % | 0.019 % | 0.008 % | 8.0 | 31 |
| CosmosId | 71.875 % | 0.338 % | 0.318 % | 23.0 | 32 |
| custom | 11.475 % | 0.434 % | 0.511 % | 7.0 | 61 |
| Medivere | 100 % | 0.199 % | 0.476 % | 7.0 | 7 |
| Microba | 7.143 % | 0.097 % | 0.051 % | 2.0 | 28 |
| Microba1 | 100 % | 0.45 % | % | 1.0 | 1 |
| SequentiaBiotech | 58.333 % | 0.811 % | 1.661 % | 21.0 | 36 |
| Thorne | 51.485 % | 0.001 % | 0.001 % | 52.0 | 101 |
| Thryve | 84.305 % | 0.652 % | 1.665 % | 1171.0 | 1389 |
| uBiome | 70.328 % | 1.02 % | 1.663 % | 557.0 | 792 |
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Foods Containing the Parasutterella bacteria
Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.
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