| Varibaculum| Varibaculum Hall et al. 2003 emend. Glaeser et al. 2016
Skin Microbiota: Varibaculum species have been found on human skin. The skin microbiota plays a role in maintaining skin health and may influence factors such as immune responses and defense against pathogens.
Clinical Significance: While Varibaculum species have been identified in clinical samples, their clinical significance is not well-documented, and their role in health or disease remains less clear.
Antibiotic Susceptibility: Some Varibaculum species have been tested for antibiotic susceptibility, which is relevant in a clinical context. Information on antibiotic resistance or sensitivity can impact treatment decisions if Varibaculum is isolated in clinical samples.
Microbial Diversity: The study of Varibaculum contributes to our understanding of the diversity of the human microbiota. The human microbiota, including skin microbiota, is increasingly recognized for its potential influence on various aspects of health.
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 | 0.75 | 10 | 2464 | 0 | 1487 | 311.6 | 126 | 599.5 | 10 | 2464 | 0 %ile | 100 %ile | ||
biomesight | 15.51 | 0 | 10 | 10 | 1160 | 0 | 5891 | 503.6 | 40 | 2748.7 | 0 | 200 | 0 %ile | 95.9 %ile |
thorne | 34.48 | 1 | 69 | 0 | 61 | 14.1 | 3 | 23.8 | 1 | 69 | 8.3 %ile | 83.3 %ile | ||
thryve | 28.25 | 0 | 17 | 16 | 8916 | 0 | 10050 | 622.9 | 43 | 4809.6 | 1 | 271 | 8 %ile | 98.7 %ile |
ubiome | 32.83 | 0 | 46 | 12 | 1323 | 0 | 10302 | 1489.7 | 155 | 4496.3 | 0 | 1263 | 0 %ile | 92 %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 |
---|---|---|---|---|---|
AmericanGut | 20 % | 0.007 % | 0.003 % | 3.0 | 15 |
BiomeSight | 15.818 % | 0.046 % | 0.25 % | 469.0 | 2965 |
BiomeSightRdp | 12.903 % | 0.01 % | 0.016 % | 4.0 | 31 |
CosmosId | 15.625 % | 0.014 % | 0.019 % | 5.0 | 32 |
Microba | 7.143 % | 0.092 % | 0 % | 2.0 | 28 |
SequentiaBiotech | 13.889 % | 0.062 % | 0.103 % | 5.0 | 36 |
Thorne | 24.038 % | 0.001 % | 0.002 % | 25.0 | 104 |
Thryve | 25.971 % | 0.07 % | 0.477 % | 361.0 | 1390 |
uBiome | 32.828 % | 0.148 % | 0.449 % | 260.0 | 792 |
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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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