| Eggerthellaceae| Eggerthellaceae Gupta et al. 2013 emend. Nouioui et al. 2018
Gut Microbiota Composition: Eggerthellaceae bacteria, particularly Eggerthella species, have been identified in the human gut microbiota. The gut microbiota is a complex ecosystem of microorganisms that plays a crucial role in various aspects of human health, including digestion, metabolism, and immune function.
Associations with Health and Disease: Specific species within the family Eggerthellaceae may have associations with certain health conditions or diseases. For example, some studies have suggested links between the abundance of Eggerthella species and conditions such as inflammatory bowel diseases (IBD) and colorectal cancer. However, the nature of these associations and the specific roles of Eggerthellaceae in health and disease are still areas of active investigation.
Metabolism and Fermentation: Like many bacteria in the gut, Eggerthella species are involved in metabolic processes and fermentation. They contribute to the breakdown of complex carbohydrates and the production of various metabolites, including short-chain fatty acids (SCFAs). SCFAs have been associated with benefits for gut health and overall well-being.
Immunomodulation: Some bacteria in the gut, including those within the family Eggerthellaceae, may play a role in modulating the host immune system. The interactions between gut bacteria and the immune system are complex and can influence immune responses and tolerance.
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 | 7.99 | 0 | 0 | 10 | 61620 | 0 | 19716 | 4705.5 | 1770 | 7658.3 | 0 | 7218 | 0 %ile | 100 %ile |
biomesight | 91.99 | 1779 | 200 | 2070 | 0 | 9986 | 1648.4 | 700 | 4253.7 | 0 | 2380 | 9.8 %ile | 90.9 %ile | |
thorne | 100 | 645 | 14408 | 0 | 11179 | 4972.7 | 4395 | 3166.6 | 711 | 8911 | 0 %ile | 100 %ile | ||
thryve | 97.38 | 68 | 3435 | 3 | 2792 | 0 | 12566 | 2224.1 | 813 | 5276.6 | 0 | 3255 | 0 %ile | 90.5 %ile |
ubiome | 97.85 | 282 | 6587 | 267 | 6039 | 0 | 11326 | 3705.4 | 2502 | 3888.2 | 52 | 7144 | 4.8 %ile | 90.8 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 715.68 | 3922 | 0.0716 | 0.3922 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 73.333 % | 0.054 % | 0.055 % | 11.0 | 15 |
BiomeSight | 98.045 % | 0.153 % | 0.422 % | 2808.0 | 2864 |
BiomeSightRdp | 100 % | 0.087 % | 0.114 % | 32.0 | 32 |
bugspeak | 100 % | 0.032 % | % | 1.0 | 1 |
CerbaLab | 100 % | 0.429 % | 0.57 % | 3.0 | 3 |
CosmosId | 100 % | 1.071 % | 1.301 % | 32.0 | 32 |
custom | 71.186 % | 0.885 % | 0.945 % | 42.0 | 59 |
es-xenogene | 100 % | 0.148 % | 0.089 % | 29.0 | 29 |
GanzimmunDiag | 100 % | 0.006 % | 0 % | 3.0 | 3 |
Medivere | 100 % | 0.221 % | 0.177 % | 7.0 | 7 |
Microba | 75 % | 0.551 % | 0.585 % | 21.0 | 28 |
Microba1 | 100 % | 0.06 % | % | 1.0 | 1 |
SequentiaBiotech | 97.222 % | 0.422 % | 0.434 % | 35.0 | 36 |
Thorne | 84.444 % | 0.336 % | 0.27 % | 76.0 | 90 |
Thryve | 97.614 % | 0.221 % | 0.492 % | 1350.0 | 1383 |
Tiny | 100 % | 0.314 % | % | 1.0 | 1 |
uBiome | 97.475 % | 0.371 % | 0.389 % | 772.0 | 792 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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And display level must be raised above public.
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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