| Veillonellales| Veillonellales Campbell et al. 2015
Oral and Gut Microbiota: Veillonella species are commonly found in the oral cavity and the human gut microbiota. In the oral cavity, they are often associated with dental plaque and contribute to the complex microbial community of the mouth. In the gut, they are part of the diverse community of microorganisms residing in the digestive tract.
Fermentation: Veillonella bacteria are known for their ability to ferment lactate. They utilize lactate produced by other bacteria, such as lactic acid bacteria, and convert it into various end-products, including short-chain fatty acids (SCFAs) like propionate. SCFAs play a role in gut health and have been associated with anti-inflammatory effects.
Metabolism: Veillonella species are involved in metabolic processes within the microbial community of the gut. Their interactions with other bacteria and their metabolic activities contribute to the overall balance of the gut microbiota.
Influence on Disease States: Changes in the abundance of Veillonella have been observed in various disease states and conditions. For example, alterations in the relative abundance of Veillonella have been reported in individuals with inflammatory bowel diseases (IBD), such as Crohn's disease and ulcerative colitis. However, the specific role of Veillonella in these conditions is still an area of ongoing research.
Dietary Influences: The abundance of Veillonella in the gut microbiota may be influenced by dietary factors. Certain studies have suggested associations between the presence of Veillonella and dietary patterns, including the consumption of fiber-rich foods.
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 | 26295 | 4820.2 | 695 | 10956.3 | 0 | 6532 |
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 | 16166 | 90.4 %ile | 0 | 56261 | 11576 | 5378 | 22798.3 | 0 | 19380 |
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 |
---|---|---|---|---|
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 % | 1.802 % | 1.91 % | 2844.0 | 2846 |
BiomeSightRdp | 81.25 % | 0.203 % | 0.752 % | 26.0 | 32 |
bugspeak | 100 % | 1.407 % | % | 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 % | 0.567 % | 1.195 % | 32.0 | 36 |
Thorne | 84.706 % | 0.078 % | 0.157 % | 72.0 | 85 |
Thryve | 99.638 % | 1.202 % | 2.294 % | 1375.0 | 1380 |
Tiny | 100 % | 0.407 % | % | 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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