Persistent colonizing species ratio (0-100): 86.9 Literature
| butyrate-producing bacterium A2-194| butyrate-producing bacterium L1-83| DSM 16841| NCIMB 14030| Roseburia inulinivorans| Roseburia inulinivorans Duncan et al. 2006| strain A2-194
Short-Chain Fatty Acid Production: Roseburia species, including Roseburia inulinivorans, contribute to the production of short-chain fatty acids (SCFAs) in the colon. SCFAs, such as butyrate, are important for maintaining the health of the colonic epithelium, providing an energy source for colonocytes, and influencing various physiological processes.
Metabolic Benefits: The fermentation of dietary fibers by Roseburia inulinivorans produces SCFAs, which have been associated with metabolic benefits, including improved glucose metabolism and energy regulation. These effects may contribute to overall metabolic health.
Anti-Inflammatory Properties: Butyrate, one of the main SCFAs produced by Roseburia inulinivorans, has anti-inflammatory properties and is known to play a role in modulating the immune response in the gut. This can contribute to the maintenance of gut health and may have broader implications for the overall immune system.
Potential Links to Gut Health: Imbalances in the gut microbiota have been associated with various health conditions, including inflammatory bowel diseases (IBD) and metabolic disorders. Roseburia inulinivorans, by contributing to a balanced and diverse gut microbiota, may play a role in supporting gut health.
The above data is from 1000 Healthy Individuals done using Shotgun(10 Millions reads) provide courtesy of Precision Biome.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
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NCBI | Data Punk | End Products Produced |
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.
Lab | Frequency | Average | Median | Minimum | Maximum | Std.Dev. | Skew | 25 - 75 Percentile | 5 - 95 Percentile | Lab Ranges | Box-Plot-Whiskers | Harmonic Mean | Geometric Mean | Obs. |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BiomeSightRdp | 0.3333 | 0.1287 | 0.039 | 0.002 | 0.734 | 0.2343 | 1.1479 | 0.003 - 0.138 | 0.002 - 0.5004 | -0.3283 - 0.5856 | -0.1995 - 0.3405 | 0.0061 | 0.0261 | 9 |
CosmosId | 0.8 | 0.3508 | 0.242 | 0.003 | 1.662 | 0.3959 | 0.8242 | 0.0467 - 0.518 | 0.0047 - 0.9852 | -0.4212 - 1.1228 | -0.6601 - 1.2248 | 0.0277 | 0.1391 | 28 |
custom | 0.234 | 0.0901 | 0.0081 | 0.0001 | 0.4151 | 0.139 | 1.7698 | 0.0032 - 0.1397 | 0.0006 - 0.3401 | -0.181 - 0.3612 | -0.2017 - 0.3445 | 0.0009 | 0.0122 | 11 |
es-xenogene | 0.2727 | 0.0227 | 0.023 | 0.004 | 0.054 | 0.0183 | -0.0546 | 0.0088 - 0.0267 | 0.0043 - 0.0473 | -0.0131 - 0.0584 | -0.0182 - 0.0537 | 0.0101 | 0.0157 | 6 |
SequentiaBiotech | 0.7778 | 0.5688 | 0.1111 | 0.0108 | 8.7534 | 1.6417 | 0.8364 | 0.0512 - 0.402 | 0.0137 - 1.3244 | -2.6325 - 3.7701 | -0.4751 - 0.9282 | 0.0517 | 0.135 | 28 |
Thorne | 0.9048 | 0.0042 | 0.0017 | 0.0001 | 0.0341 | 0.0068 | 1.1139 | 0.0007 - 0.0046 | 0.0003 - 0.0171 | -0.009 - 0.0174 | -0.0051 - 0.0103 | 0.0009 | 0.0018 | 171 |
Thryve | 0.9411 | 0.4908 | 0.0991 | 0.0002 | 23.7038 | 1.1895 | 0.988 | 0.0149 - 0.4382 | 0.0028 - 2.2398 | -1.8287 - 2.8104 | -0.6201 - 1.0731 | 0.0124 | 0.0853 | 1167 |
uBiome | 0.7452 | 0.4921 | 0.1961 | 0.002 | 20.6156 | 1.1277 | 0.7875 | 0.0523 - 0.52 | 0.0068 - 1.8309 | -1.7068 - 2.6911 | -0.6493 - 1.2216 | 0.0355 | 0.1554 | 588 |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 7.44 | 72.6 | 0.0007 | 0.0073 |
XenoGene | 10000 | 30000 | 1 | 3 |
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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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