Veillonella criceti Details: NCBI 103891, gram-negative or unknown [species]
| ATCC 17747| DSM 20734| JCM 6511| NCTC 12020| Veillonella alcalescens subsp. criceti| Veillonella alcalescens subsp. criceti Rogosa 1965 (Approved Lists 1980)| Veillonella criceti| Veillonella criceti (Rogosa 1965) Mays et al. 1982
Fermentation and SCFA Production:
- Oscillibacter, like other members of the Ruminococcaceae family, is involved in the fermentation of dietary fibers and complex carbohydrates in the gut. This fermentation process can lead to the production of short-chain fatty acids (SCFAs) such as acetate, propionate, and butyrate. SCFAs play important roles in maintaining gut health, providing an energy source for colonocytes, and influencing various physiological processes.
Butyrate Production:
- Oscillibacter has been associated with the production of butyrate, a short-chain fatty acid that has been linked to several health benefits. Butyrate is known for its anti-inflammatory properties and its role in promoting the health of the intestinal lining.
Potential Influence on Metabolic Health:
- Some studies have suggested that the abundance of Oscillibacter may be associated with certain metabolic parameters. However, the specific mechanisms and associations are still an active area of research, and more studies are needed to elucidate the relationship between Oscillibacter and metabolic health.
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Other Sources for more information:
- Immune Epitope Database
- The NCBI taxonomy database
- UniProt
- Immune Epitope Taxonomy Database (IEDB)
- AI Engines For more Details: Perplexity Kagi Labs You
 Statistics
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NCBI | Data Punk | End Products Produced |
Lab Reporting
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.
Desired Levels Suggestions for Veillonella criceti
- Frequency - how often do samples show this bacteria
- UD - An alternative statistical algorithm (which factors in the frequency)
- Kaltoft-Moldrup Heuristic Using uploaded data
- Lab Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
| 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 | 0.09 | 19 | 2770 | 0 | 5207 | 1394.5 | 1394 | 1945.3 | 19 | 2770 | 25 %ile | 50 %ile | ||
| biomesight | 82.15 | 0 | 2760 | 160 | 4280 | 0 | 11173 | 2638.2 | 1345 | 4354.3 | 0 | 5230 | 8 %ile | 91 %ile |
| thryve | 6.14 | 0 | 0 | 1 | 44852 | 0 | 11382 | 720.2 | 19 | 5440 | 7 | 31 | 0 %ile | 100 %ile |
External Reference Ranges for Veillonella criceti
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Statistic by Lab Source for Veillonella criceti
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 88.323 % | 0.256 % | 0.405 % | 2617.0 | 2963 |
| custom | 1.639 % | 0.277 % | % | 1.0 | 61 |
| Medivere | 14.286 % | 0.002 % | % | 1.0 | 7 |
| Thryve | 5.971 % | 0.06 % | 0.492 % | 83.0 | 1390 |
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