| cluster IX| Megasphaera group| Veillonellaceae| Veillonellaceae Rogosa 1971 (Approved Lists 1980) emend. Campbell et al. 2015| Veillonellaceae Rogosa 1971 (Approved Lists 1980) emend. Marchandin et al. 2010
Normal Microbiota: Veillonellaceae bacteria, particularly Veillonella species, are commonly found in the oral cavity, gastrointestinal tract, and other mucosal surfaces. They are part of the normal microbial community in humans.
Oral Health: Veillonella species are often associated with the oral microbiota and can be found in dental plaque. While some species of Veillonella are considered commensal and part of the normal oral flora, their abundance and interactions with other bacteria can contribute to oral health or, in some cases, dental diseases.
Gut Microbiota: Veillonellaceae members are also present in the gut microbiota. They play a role in the complex microbial community of the digestive tract, contributing to fermentation processes and the production of metabolites.
Fermentation: Veillonella bacteria are known for their ability to ferment lactate. They participate in the conversion of lactate produced by other bacteria into end-products, such as short-chain fatty acids (SCFAs) like propionate. SCFAs have been associated with various health benefits, including anti-inflammatory effects and maintenance of gut barrier function.
Influence on Disease States: Changes in the abundance of Veillonellaceae, including Veillonella species, have been observed in different disease states. For example, alterations in the relative abundance of Veillonellaceae have been reported in individuals with inflammatory bowel diseases (IBD), such as Crohn's disease and ulcerative colitis. However, the specific role of Veillonellaceae in these conditions is complex and requires further investigation.
Dietary Influences: The abundance of Veillonellaceae in the gut microbiota may be influenced by dietary factors. Certain studies have suggested associations between the presence of Veillonellaceae and dietary patterns, including the consumption of specific nutrients.
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 Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
Lab | KM Low | KM Percentile Low | KM High | KM Percentile High | Lab Low | Lab High | Mean | Median | Standard Deviation | Box Plot Low | Box Plot High |
---|---|---|---|---|---|---|---|---|---|---|---|
* | 10 | 0 %ile | 66100 | 100 %ile | 0 | 26272 | 4789.5 | 682 | 10960.7 | 0 | 6542 |
biomesight | 5580 | 10.9 %ile | 25510 | 91.2 %ile | 0 | 54973 | 18179.7 | 13245 | 18771.8 | 3270 | 28430 |
thorne | 73 | 0 %ile | 9048 | 100 %ile | 0 | 4293 | 874.6 | 333 | 1744 | 49 | 1053 |
thryve | 11 | 0 %ile | 16092 | 90.4 %ile | 0 | 56612 | 11578.2 | 5335 | 22976.4 | 0 | 19423 |
ubiome | 187 | 8 %ile | 81661 | 97.3 %ile | 0 | 76733 | 13367.3 | 2340 | 32329.6 | 0 | 26204 |
Low Boundary | High Boundary | Low Boundary %age | High Boundary %age | Lab Samples |
---|---|---|---|---|
1400 | 15700 | 0.14 | 1.57 | Nirvana/CosmosId |
107 | 301.44 | 0.0107 | 0.0301 | Thorne (20/80%ile) |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 86.667 % | 0.406 % | 0.694 % | 13.0 | 15 |
BiomeSight | 99.93 % | 1.803 % | 1.911 % | 2841.0 | 2843 |
BiomeSightRdp | 81.25 % | 0.203 % | 0.752 % | 26.0 | 32 |
bugspeak | 100 % | 1.462 % | % | 1.0 | 1 |
CerbaLab | 100 % | 0.128 % | 0.062 % | 3.0 | 3 |
CosmosId | 84.375 % | 0.375 % | 0.847 % | 27.0 | 32 |
custom | 35.593 % | 0.448 % | 1.288 % | 21.0 | 59 |
es-xenogene | 96.552 % | 0.068 % | 0.179 % | 28.0 | 29 |
GanzimmunDiag | 100 % | 0.192 % | 0 % | 3.0 | 3 |
Medivere | 100 % | 0.209 % | 0.437 % | 7.0 | 7 |
Microba | 46.429 % | 1.43 % | 1.922 % | 13.0 | 28 |
SequentiaBiotech | 88.889 % | 0.563 % | 1.193 % | 32.0 | 36 |
Thorne | 84.706 % | 0.078 % | 0.157 % | 72.0 | 85 |
Thryve | 99.348 % | 1.204 % | 2.312 % | 1371.0 | 1380 |
Tiny | 100 % | 0.003 % | % | 1.0 | 1 |
uBiome | 93.687 % | 1.338 % | 3.233 % | 742.0 | 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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