Peptococcus Details: NCBI 2740, gram-negative or unknown [genus]
| Peptococcus| Peptococcus Kluyver and van Niel 1936 (Approved Lists 1980) emend. Shkoporov et al. 2016
Infections: Peptococcus species have been implicated in various infections, particularly in mixed anaerobic infections. These infections may include intra-abdominal infections, skin and soft tissue infections, and infections in other body sites.
Endocarditis: There have been reports of Peptococcus species causing infective endocarditis, an infection of the heart valves.
Bacterial synergy: Peptococcus species often work in synergy with other bacteria, especially other anaerobic organisms, in causing infections. They may be part of polymicrobial infections where multiple bacterial species contribute to the overall pathology.
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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 Peptococcus
- 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 | 0.75 | 6 | 3680 | 0 | 2037 | 341.5 | 120 | 864.8 | 6 | 3680 | 0 %ile | 100 %ile | ||
| biomesight | 91.62 | 859 | 120 | 990 | 0 | 2837 | 667.9 | 370 | 1106.6 | 0 | 1130 | 9.8 %ile | 90.9 %ile | |
| thorne | 48.28 | 1 | 21 | 0 | 20 | 7.2 | 6 | 6.5 | 1 | 21 | 6.3 %ile | 87.5 %ile | ||
| thryve | 40.7 | 0 | 23 | 1 | 188 | 0 | 6431 | 526.9 | 42 | 3012.2 | 0 | 186 | 0 %ile | 91.6 %ile |
| ubiome | 48.16 | 0 | 179 | 21 | 12429 | 0 | 3208 | 681.8 | 286 | 1288.6 | 0 | 1058 | 0 %ile | 100 %ile |
External Reference Ranges for Peptococcus
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Thorne (20/80%ile) | 0 | 4.05 | 0 | 0.0004 |
Statistic by Lab Source for Peptococcus
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| AmericanGut | 6.667 % | 0.01 % | % | 1.0 | 15 |
| BiomeSight | 98.009 % | 0.068 % | 0.112 % | 2904.0 | 2963 |
| BiomeSightRdp | 35.484 % | 0.009 % | 0.008 % | 11.0 | 31 |
| custom | 6.557 % | 0.017 % | 0.012 % | 4.0 | 61 |
| Medivere | 28.571 % | 0.002 % | 0.002 % | 2.0 | 7 |
| SequentiaBiotech | 11.111 % | 0.104 % | 0.176 % | 4.0 | 36 |
| Thorne | 30.769 % | 0 % | 0.001 % | 32.0 | 104 |
| Thryve | 39.353 % | 0.055 % | 0.281 % | 547.0 | 1390 |
| uBiome | 47.98 % | 0.068 % | 0.129 % | 380.0 | 792 |
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Foods Containing the Peptococcus 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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