Aerococcus Details: NCBI 1375, low G+C gram-positive [genus]
| Aerococcus| Aerococcus Williams et al. 1953
Human Microbiota:
- Some Aerococcus species can be part of the normal human microbiota, particularly in the genitourinary and respiratory tracts. They may also be found in other sites, such as the skin.
Opportunistic Infections:
- Aerococcus species are opportunistic pathogens, meaning they may cause infections, especially in individuals with compromised immune systems or underlying health conditions. Infections can include urinary tract infections, bacteremia, and endocarditis.
Endocarditis:
- Aerococcus species, particularly Aerococcus urinae, have been associated with infective endocarditis, an infection of the inner lining of the heart chambers and valves. However, such cases are relatively rare.
Urinary Tract Infections:
- Aerococcus urinae is commonly associated with urinary tract infections (UTIs), especially in older individuals. It has been recognized as a cause of community-acquired UTIs.
Antimicrobial Susceptibility:
- Aerococcus species can vary in their susceptibility to antimicrobial agents, and antibiotic resistance patterns should be considered in the treatment of 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 Aerococcus
- 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 | 0.35 | 7 | 300 | 0 | 302 | 115.6 | 98 | 94.9 | 7 | 300 | 10 %ile | 80 %ile | ||
| biomesight | 1.38 | 10 | 3145 | 0 | 1263 | 181.1 | 30 | 552.2 | 10 | 190 | 0 %ile | 100 %ile | ||
| thorne | 100 | 3 | 211 | 0 | 117 | 32.5 | 16 | 42.9 | 0 | 58 | 0 %ile | 100 %ile | ||
| thryve | 27.98 | 0 | 14 | 1 | 56 | 0 | 432 | 54.5 | 25 | 192.7 | 11 | 61 | 0 %ile | 92 %ile |
| ubiome | 2.03 | 19 | 1332 | 0 | 1205 | 297.6 | 103 | 463 | 19 | 1332 | 0 %ile | 100 %ile |
External Reference Ranges for Aerococcus
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Thorne (20/80%ile) | 3.64 | 11.01 | 0.0004 | 0.0011 |
Statistic by Lab Source for Aerococcus
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 1.249 % | 0.017 % | 0.052 % | 37.0 | 2963 |
| BiomeSightRdp | 12.903 % | 0.004 % | 0.002 % | 4.0 | 31 |
| CerbaLab | 66.667 % | 0.006 % | 0.002 % | 2.0 | 3 |
| custom | 1.639 % | 0.001 % | % | 1.0 | 61 |
| es-xenogene | 13.793 % | 0.018 % | 0.009 % | 4.0 | 29 |
| Thorne | 84.615 % | 0.002 % | 0.003 % | 88.0 | 104 |
| Thryve | 28.921 % | 0.005 % | 0.017 % | 402.0 | 1390 |
| uBiome | 2.02 % | 0.03 % | 0.046 % | 16.0 | 792 |
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Foods Containing the Aerococcus 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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