| "Barnesiellaceae" Ormerod et al. 2016| Barnesiellaceae
Gut Microbiota Member: Barnesiellaceae bacteria are found in the human gut microbiota. The gut microbiota is a complex community of microorganisms that play crucial roles in various aspects of human health, including digestion, metabolism, and immune function.
Bacterial Diversity: The gut microbiota is composed of a diverse array of bacteria, and the composition of this microbial community can vary among individuals. Different bacterial families, including Barnesiellaceae, contribute to the overall diversity of the gut microbiota.
Associations with Health: While specific information about Barnesiellaceae is limited, the overall balance and diversity of the gut microbiota have been associated with various aspects of health. Imbalances in the gut microbiota (dysbiosis) have been linked to conditions such as inflammatory bowel disease (IBD), obesity, and metabolic disorders.
Metabolic Functions: Bacteria within the gut microbiota, including members of the Barnesiellaceae family, contribute to the metabolism of dietary components and the production of metabolites such as short-chain fatty acids (SCFAs), which can influence host health.
Limited Pathogenicity: Generally, bacteria within the Barnesiellaceae family are not known to be major pathogens. They are typically commensal bacteria that coexist with the host in the gut environment.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
Statistics | 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 | 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 | 4.5 | 0 | 0 | 10 | 43691 | 0 | 20086 | 5151.1 | 2550 | 7619.8 | 0 | 10548 | 0 %ile | 100 %ile |
thorne | 100 | 64 | 2215 | 0 | 1307 | 469.6 | 372 | 427.4 | 0 | 922 | 0 %ile | 100 %ile | ||
thryve | 85.38 | 0 | 4680 | 43 | 7258 | 0 | 23391 | 4420.2 | 960 | 9679.1 | 0 | 9386 | 12 %ile | 90.6 %ile |
ubiome | 64.89 | 0 | 7362 | 1068 | 18547 | 0 | 31412 | 10276.9 | 6666 | 10783.3 | 0 | 22167 | 8 %ile | 92 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 239.86 | 705.74 | 0.024 | 0.0706 |
Nirvana/CosmosId | 9200 | 31700 | 0.92 | 3.17 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 100 % | 0.768 % | 1.118 % | 15.0 | 15 |
BiomeSightRdp | 25 % | 0.851 % | 1.492 % | 8.0 | 32 |
bugspeak | 100 % | 0.047 % | % | 1.0 | 1 |
CerbaLab | 100 % | 0.062 % | 0.053 % | 3.0 | 3 |
CosmosId | 56.25 % | 0.397 % | 0.527 % | 18.0 | 32 |
custom | 28.814 % | 0.376 % | 0.547 % | 17.0 | 59 |
es-xenogene | 96.552 % | 0.267 % | 0.586 % | 28.0 | 29 |
Microba | 67.857 % | 0.659 % | 0.592 % | 19.0 | 28 |
Microba1 | 100 % | 0.38 % | % | 1.0 | 1 |
SequentiaBiotech | 30.556 % | 0.574 % | 0.428 % | 11.0 | 36 |
Thorne | 85.393 % | 0.03 % | 0.033 % | 76.0 | 89 |
Thryve | 82.646 % | 0.499 % | 1.268 % | 1143.0 | 1383 |
Tiny | 100 % | 0.001 % | % | 1.0 | 1 |
uBiome | 64.646 % | 1.029 % | 1.077 % | 512.0 | 792 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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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.
This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.
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