Negativicoccus Details: NCBI 909928, gram-negative or unknown [genus]
| Negativicoccus| Negativicoccus Marchandin et al. 2010
Normal Microbiota: Negativicoccus species are generally considered part of the commensal microbiota, meaning they coexist with the human host without causing harm under normal conditions.
Oral and Gastrointestinal Presence: Negativicoccus species have been identified in the oral cavity and the gastrointestinal tract. The abundance and roles of these bacteria in these environments may vary.
Limited Pathogenicity: As of my last update, there is limited evidence to suggest that Negativicoccus species are major pathogens. They are not commonly associated with infections or diseases in humans.
Community Dynamics: The health impacts of Negativicoccus may be influenced by the overall dynamics of the microbial community in which they reside. Changes in the microbial balance, such as dysbiosis, could potentially be associated with health issues.
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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 Negativicoccus
- 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 | 0.62 | 2 | 1804 | 0 | 1335 | 289.7 | 75 | 533.1 | 2 | 1804 | 6.3 %ile | 87.5 %ile | ||
| biomesight | 48.62 | 0 | 40 | 10 | 340 | 0 | 6120 | 498.9 | 80 | 2867.8 | 0 | 400 | 3.7 %ile | 89.8 %ile |
| thorne | 93.1 | 1 | 6590 | 0 | 3089 | 412.6 | 23 | 1365.7 | 0 | 159 | 0 %ile | 100 %ile | ||
| thryve | 32.22 | 0 | 18 | 1 | 707 | 0 | 4927 | 233.8 | 33 | 2394.5 | 7 | 115 | 0 %ile | 96.9 %ile |
| ubiome | 15.84 | 0 | 22 | 19 | 12579 | 0 | 3786 | 599.1 | 127 | 1625.7 | 0 | 609 | 0 %ile | 100 %ile |
External Reference Ranges for Negativicoccus
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Thorne (20/80%ile) | 1.97 | 4.9 | 0.0002 | 0.0005 |
Statistic by Lab Source for Negativicoccus
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| Biomesight | 53.39 % | 0.045 % | 0.259 % | 1583.0 | 2965 |
| BiomeSightRdp | 38.71 % | 0.016 % | 0.033 % | 12.0 | 31 |
| CosmosId | 9.375 % | 0.01 % | 0.013 % | 3.0 | 32 |
| custom | 3.279 % | 0.008 % | 0.011 % | 2.0 | 61 |
| Medivere | 28.571 % | 0.091 % | 0.127 % | 2.0 | 7 |
| Thorne | 80.769 % | 0.017 % | 0.079 % | 84.0 | 104 |
| Thryve | 32.543 % | 0.022 % | 0.215 % | 453.0 | 1392 |
| Tiny | 50 % | 0.003 % | % | 1.0 | 2 |
| uBiome | 15.783 % | 0.06 % | 0.163 % | 125.0 | 792 |
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Foods Containing the Negativicoccus 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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