| Caseobacter| Caseobacter Crombach 1978| Corynebacterium| Corynebacterium Lehmann and Neumann 1896 (Approved Lists 1980) emend. Baek et al. 2018| Corynebacterium Lehmann and Neumann 1896 (Approved Lists 1980) emend. Bernard et al. 2010| Corynebacterium Lehmann and Neumann 1896 (Approved Lists 1980) emend. Nouioui et al. 2018| Turicella| Turicella Funke et al. 1994
Diphtheria: Corynebacterium diphtheriae is the species responsible for causing diphtheria, a potentially serious respiratory disease. Diphtheria is characterized by the formation of a thick grayish coating in the throat and can lead to difficulty breathing and other complications. Diphtheria is a vaccine-preventable disease, and vaccination programs have been successful in reducing its incidence.
Skin Infections: Some Corynebacterium species, such as Corynebacterium minutissimum, can be associated with skin infections. Erythrasma is one such skin infection caused by this bacterium, characterized by red-brown patches on the skin.
Coryneform Infections: The term "coryneform" is used to describe a group of bacteria, including some Corynebacterium species, that can cause opportunistic infections in humans. These infections may occur in individuals with weakened immune systems, underlying health conditions, or indwelling medical devices.
Normal Microbiota: Many Corynebacterium species are part of the normal microbial flora on human skin and mucous membranes. They contribute to the balance of the microbiota and may have beneficial roles in preventing the colonization of pathogenic bacteria.
Vaccination: The development and widespread use of the diphtheria vaccine have significantly reduced the incidence of diphtheria, highlighting the importance of vaccination in preventing certain Corynebacterium-associated diseases.
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 | 2.96 | 0 | 0 | 10 | 94400 | 0 | 26795 | 3004.6 | 143 | 12137.7 | 0 | 753 | 0 %ile | 100 %ile |
biomesight | 46.19 | 0 | 30 | 10 | 380 | 0 | 19803 | 1364.6 | 50 | 9407.2 | 0 | 350 | 0 %ile | 90.1 %ile |
thorne | 100 | 92 | 304000 | 0 | 134609 | 20790.6 | 956 | 58070.6 | 0 | 15316 | 0 %ile | 100 %ile | ||
thryve | 57.13 | 0 | 51 | 14 | 572 | 0 | 19623 | 1467.4 | 63 | 9263.1 | 0 | 399 | 5.8 %ile | 89.9 %ile |
ubiome | 56.02 | 0 | 268 | 19 | 4248 | 0 | 47127 | 6246.7 | 373 | 20857.5 | 0 | 4168 | 0 %ile | 92 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 0 | 165.32 | 0 | 0.0165 |
Lab Teletest | 0 | 500 | 0 | 0.05 |
XenoGene | 0 | 1000 | 0 | 0.1 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 40 % | 0.284 % | 0.388 % | 6.0 | 15 |
BiomeSight | 46.743 % | 0.135 % | 0.876 % | 1385.0 | 2963 |
BiomeSightRdp | 61.29 % | 0.012 % | 0.029 % | 19.0 | 31 |
bugspeak | 100 % | 0.016 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0.01 % | 0.006 % | 2.0 | 3 |
CosmosId | 40.625 % | 0.005 % | 0.008 % | 13.0 | 32 |
custom | 36.066 % | 1.332 % | 2.011 % | 22.0 | 61 |
es-xenogene | 96.552 % | 0.036 % | 0.034 % | 28.0 | 29 |
Medivere | 14.286 % | 0.001 % | % | 1.0 | 7 |
SequentiaBiotech | 22.222 % | 0.187 % | 0.19 % | 8.0 | 36 |
Thorne | 87.5 % | 0.956 % | 3.725 % | 91.0 | 104 |
Thryve | 56.763 % | 0.139 % | 0.859 % | 789.0 | 1390 |
Tiny | 50 % | 0.004 % | % | 1.0 | 2 |
uBiome | 55.934 % | 0.623 % | 2.084 % | 443.0 | 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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