For the possible significance see Oral bacteria relative abundance in faeces increases due to gut microbiota depletion and is linked with patient outcomes, 2024
| "Micrococcus asaccharolyticus" (Distaso 1912) Hall 1948| "Schleiferella asaccharolytica" Rajendram et al. 2001| "Staphylococcus asaccharolyticus" Distaso 1912| ATCC 14963| CCUG 9988| CIP 74.17| DSM 20463| JCM 1765| Micrococcus asaccharolyticus| NCTC 11461| Peptococcus aerogenes| Peptococcus asaccharolyticus| Peptococcus asaccharolyticus (Distaso 1912) Douglas 1957 (Approved Lists 1980)| Peptoniphilus asaccharolyticus| Peptoniphilus asaccharolyticus (Distaso 1912) Ezaki et al. 2001| Peptostreptococcus asaccharolyticus| Peptostreptococcus asaccharolyticus (Distaso 1912) Ezaki et al. 1983| Schleiferella asaccharolytica| Staphylococcus asaccharolyticus
Normal Microbiota: Peptoniphilus species are commonly found in various body sites, including the skin, oral cavity, gastrointestinal tract, and genitourinary tract. In these locations, they are part of the complex microbial community that makes up the normal flora.
Potential Pathogenicity: While many bacteria in the Peptoniphilus genus are commensals, some species have been associated with infections in certain clinical contexts. For example, Peptoniphilus asaccharolyticus has been identified in clinical samples from patients with infections, but its exact role in causing disease is not fully understood.
Clinical Significance: Peptoniphilus asaccharolyticus has been detected in clinical samples from infections such as pelvic inflammatory disease, abscesses, and bacteremia. However, it's important to note that the presence of this bacterium does not necessarily imply pathogenicity, as bacteria in the genus Peptoniphilus can be part of the normal microbiota in some individuals.
Role in Infections: In some cases, Peptoniphilus species, including P. asaccharolyticus, have been isolated from polymicrobial infections where multiple bacterial species are present. The significance of Peptoniphilus in these infections may depend on the specific clinical context and the overall health of the individual.
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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 | 0.04 | 0 | 39 | 39 | 39 | 39 | 39 | 0 %ile | 99 %ile | |||||
biomesight | 38.31 | 0 | 30 | 10 | 5620 | 0 | 12114 | 1060.3 | 60 | 5639.8 | 0 | 460 | 3.7 %ile | 96.6 %ile |
thorne | 10.34 | 3 | 16 | 0 | 22 | 9.3 | 9 | 6.5 | 3 | 16 | 20 %ile | 60 %ile | ||
thryve | 0.18 | 28 | 39 | 18 | 49 | 33.5 | 34 | 7.8 | 28 | 39 | 25 %ile | 50 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 0 | 0 | 0 | 0 |
PrecisionBiome | 1.2193554539408069E-05 | 7.561958773294464E-05 | 0 | 0 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 37.945 % | 0.08 % | 0.443 % | 1791.0 | 4720 |
Medivere | 12.5 % | 0.004 % | % | 1.0 | 8 |
Thorne | 7.095 % | 0 % | 0 % | 21.0 | 296 |
Thryve | 0.453 % | 0.003 % | 0.001 % | 7.0 | 1546 |
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