| "Asterococcus" Borrel et al. 1910| "Asteromyces" Wroblewski 1931| "Borrelomyces" Turner 1935| "Bovimyces" Sabin 1941| "Pleuropneumonia" Tulasne and Brisou 1955| Asterococcus| Asteromyces| Borrelomyces| Bovimyces| Eperythrozoon| Eperythrozoon Schilling 1928 (Approved Lists 1980)| Haemobartonella| Haemobartonella Tyzzer and Weinman 1939 (Approved Lists 1980)| Mycoplasma| Mycoplasma Nowak 1929| Pleuropneumonia
Respiratory Infections in Humans: Mycoplasma pneumoniae is a common species that can infect humans and cause respiratory infections. It is a significant cause of atypical pneumonia, particularly in children and young adults. Infections with M. pneumoniae may lead to symptoms such as cough, fever, and difficulty breathing.
Urogenital Infections in Humans: Mycoplasma genitalium is associated with urogenital infections in humans, including urethritis and other sexually transmitted infections. It can cause symptoms such as urethral discharge and pain during urination.
Joint and Systemic Infections: In addition to respiratory and urogenital infections, mycoplasmas have been implicated in joint infections, particularly in children. Mycoplasma infections may also be associated with systemic diseases, although their role in these conditions is not as well-defined.
Animal Pathogens: Mycoplasmas are significant pathogens in animals, causing diseases in livestock and domesticated animals. For example, Mycoplasma gallisepticum can cause respiratory infections in birds, and Mycoplasma hyopneumoniae is associated with respiratory disease in pigs.
Plant Pathogens: Some Mycoplasma species are plant pathogens, causing diseases in various crops. They are transmitted by insect vectors and can lead to conditions such as yellows and wilts in plants.
Autoimmune Associations: Some studies have suggested a potential link between mycoplasma infections and the development or exacerbation of autoimmune conditions. The mechanisms involved are complex and not fully understood.
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 | 1.24 | 10 | 2910 | 0 | 1543 | 292 | 30 | 638.3 | 9 | 365 | 0 %ile | 100 %ile | ||
biomesight | 78.12 | 0 | 90 | 30 | 130 | 0 | 284 | 88.1 | 60 | 100.1 | 20 | 160 | 8 %ile | 90.7 %ile |
thorne | 100 | 9 | 141 | 0 | 129 | 49 | 25 | 40.7 | 9 | 121 | 0 %ile | 100 %ile | ||
thryve | 70.76 | 0 | 64 | 21 | 147 | 0 | 3258 | 192.2 | 54 | 1564.1 | 2 | 172 | 12.1 %ile | 90.1 %ile |
ubiome | 0.51 | 98 | 8702 | 0 | 10650 | 2394.5 | 389 | 4212 | 98 | 8702 | 16.7 %ile | 66.7 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 0 | 23.17 | 0 | 0.0023 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 84.065 % | 0.009 % | 0.01 % | 2490.0 | 2962 |
BiomeSightRdp | 41.935 % | 0.006 % | 0.012 % | 13.0 | 31 |
bugspeak | 100 % | 0.005 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0.003 % | 0 % | 2.0 | 3 |
custom | 16.393 % | 0.003 % | 0.003 % | 10.0 | 61 |
es-xenogene | 17.241 % | 0.078 % | 0.063 % | 5.0 | 29 |
Medivere | 57.143 % | 0.002 % | 0.001 % | 4.0 | 7 |
Microba | 3.571 % | 0.291 % | % | 1.0 | 28 |
SequentiaBiotech | 2.778 % | 0.02 % | % | 1.0 | 36 |
Thorne | 86.139 % | 0.003 % | 0.003 % | 87.0 | 101 |
Thryve | 72.066 % | 0.018 % | 0.139 % | 1001.0 | 1389 |
uBiome | 0.505 % | 0.239 % | 0.421 % | 4.0 | 792 |
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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.
Explanations/Info/Descriptions are influenced by Large Language Models and may not be accurate and include some hallucinations. Please report any to us for correction.
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