| "Streptococcus anaerob" (sic) Kronig 1895| "Streptococcus anaerobius" Natvig 1905| ATCC 27337| CCUG 7835| CIP 104411| DSM 2949| LMG 15865| LMG:15865| NCTC 11460| Peptostreptococcus anaerobius| Peptostreptococcus anaerobius (Natvig 1905) Kluyver and van Niel 1936| Peptostreptococcus anaerobius Natvig 1905 (Approved Lists 1980) emend. Gerritsen et al. 2014| Streptococcus anaerob| Streptococcus anaerobius| VPI 4330
Commensal Bacterium: Peptostreptococcus anaerobius is generally considered a commensal bacterium in the human microbiota, meaning it coexists with the host without causing harm under normal conditions.
Role in Infections: While Peptostreptococcus species are part of the normal microbiota, they can become opportunistic pathogens under certain conditions. Peptostreptococcus anaerobius, in particular, has been associated with various infections, including abdominal and pelvic infections.
Anaerobic Infections: Peptostreptococcus anaerobius is often involved in anaerobic infections, which occur in environments with low oxygen levels. Anaerobic infections can include abscesses, wound infections, and infections in the abdominal or pelvic regions.
Periodontal Health: Some studies have suggested associations between Peptostreptococcus anaerobius and periodontal diseases. Changes in the composition of the oral microbiota can contribute to the development of gum diseases.
Antibiotic Susceptibility: Peptostreptococcus anaerobius, like other anaerobic bacteria, may show variable susceptibility to antibiotics. Identification of the specific strain and its antibiotic sensitivity is important for effective treatment.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
Statistics | NCBI | Data Punk | End Products Produced |
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.
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 | 0.22 | 20 | 260 | 0 | 284 | 100 | 70 | 94.1 | 20 | 260 | 14.3 %ile | 71.4 %ile | ||
biomesight | 9.97 | 0 | 0 | 10 | 270 | 0 | 4718 | 393 | 55 | 2206.9 | 0 | 260 | 0 %ile | 92 %ile |
thorne | 48.28 | 1 | 749 | 0 | 455 | 67.4 | 6 | 197.8 | 1 | 749 | 6.3 %ile | 87.5 %ile | ||
thryve | 12.09 | 0 | 0 | 1 | 4972 | 0 | 1702 | 298.2 | 36 | 716.4 | 0 | 305 | 0 %ile | 100 %ile |
ubiome | 13.31 | 0 | 22 | 21 | 22124 | 0 | 6157 | 1014.7 | 180 | 2623.6 | 0 | 1186 | 0 %ile | 100 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 0 | 0 | 0 | 0 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 10.789 % | 0.038 % | 0.2 % | 309.0 | 2864 |
bugspeak | 100 % | 0.007 % | % | 1.0 | 1 |
CosmosId | 6.25 % | 0.004 % | 0.002 % | 2.0 | 32 |
custom | 1.695 % | 0.01 % | % | 1.0 | 59 |
SequentiaBiotech | 2.778 % | 0.026 % | % | 1.0 | 36 |
Thorne | 36.667 % | 0.003 % | 0.013 % | 33.0 | 90 |
Thryve | 13.087 % | 0.037 % | 0.111 % | 181.0 | 1383 |
uBiome | 13.258 % | 0.101 % | 0.262 % | 105.0 | 792 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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And display level must be raised above public.
Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.
This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.
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