Niabella Details: NCBI 379899, gram-negative or unknown [genus]
| Niabella| Niabella Kim et al. 2007 emend. Dai et al. 2011
Oral Microbiota: Atopobium species are part of the normal oral microbiota. They play a role in the microbial balance within the oral cavity. However, imbalances in the oral microbiota can contribute to oral health issues, including periodontal disease and dental caries.
Urogenital Microbiota: Atopobium vaginae, in particular, is a species associated with the urogenital tract, especially in women. It has been implicated in bacterial vaginosis (BV), a condition characterized by an imbalance in the vaginal microbiota. BV can lead to symptoms such as abnormal vaginal discharge and an increased risk of certain infections.
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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 Niabella
- 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 | 0.49 | 2 | 299 | 0 | 258 | 75.8 | 50 | 92.7 | 2 | 299 | 7.7 %ile | 84.6 %ile | ||
| biomesight | 16.14 | 0 | 10 | 10 | 70 | 0 | 115 | 26.7 | 20 | 45 | 0 | 40 | 0 %ile | 98.2 %ile |
| thorne | 82.76 | 2 | 37 | 0 | 31 | 11.4 | 7 | 9.9 | 3 | 23 | 0 %ile | 100 %ile | ||
| thryve | 72.83 | 0 | 60 | 22 | 97 | 0 | 3212 | 120.4 | 51 | 1577.5 | 7 | 117 | 12.3 %ile | 90.3 %ile |
External Reference Ranges for Niabella
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Thorne (20/80%ile) | 3.58 | 8.91 | 0.0004 | 0.0009 |
Statistic by Lab Source for Niabella
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| AmericanGut | 6.667 % | 0.03 % | % | 1.0 | 15 |
| BiomeSight | 18.179 % | 0.003 % | 0.004 % | 539.0 | 2965 |
| BiomeSightRdp | 6.452 % | 0.003 % | 0.001 % | 2.0 | 31 |
| bugspeak | 100 % | 0.005 % | % | 1.0 | 1 |
| CerbaLab | 66.667 % | 0.001 % | 0.001 % | 2.0 | 3 |
| custom | 1.639 % | 0.001 % | % | 1.0 | 61 |
| es-xenogene | 13.793 % | 0.01 % | 0.007 % | 4.0 | 29 |
| Thorne | 68.269 % | 0.001 % | 0.001 % | 71.0 | 104 |
| Thryve | 74.101 % | 0.011 % | 0.14 % | 1030.0 | 1390 |
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Foods Containing the Niabella bacteria
Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.
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