Spirochaetes Characteristics: Spirochaetes, including members of the family Spirosomaceae, are characterized by their helical or spiral shape. Some well-known genera within Spirochaetes include Borrelia, Treponema, and Leptospira.
Borrelia and Health: While Spirosomaceae itself might not be widely studied, the genus Borrelia within the Spirochaetes phylum includes species known to cause Lyme disease. Borrelia burgdorferi, transmitted by ticks, is responsible for Lyme disease, a multisystemic illness that can affect various organs and tissues.
Treponema and Health: Another genus within Spirochaetes, Treponema, includes species such as Treponema pallidum, which causes syphilis. Syphilis is a sexually transmitted infection with various stages and symptoms that can affect multiple organ systems.
Ecological Roles: Spirosomaceae and other members of the Spirochaetes phylum play roles in various environments, including aquatic ecosystems and the gastrointestinal tracts of animals. Some are associated with symbiotic relationships, while others can be pathogenic.
Limited Information: As of my last update, specific information about the health impacts of Spirosomaceae, beyond the context of Borrelia causing Lyme disease, may not be well-documented in the scientific literature.
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 | 1.02 | 4 | 500 | 0 | 334 | 99.6 | 30 | 119.5 | 0 | 290 | 0 %ile | 100 %ile | ||
biomesight | 76.15 | 0 | 100 | 20 | 230 | 0 | 9837 | 789.7 | 70 | 4615.8 | 10 | 230 | 9 %ile | 90.9 %ile |
thorne | 96.55 | 9 | 413 | 0 | 244 | 69.7 | 36 | 88.9 | 8 | 78 | 0 %ile | 100 %ile | ||
thryve | 58.03 | 0 | 34 | 14 | 167 | 0 | 2431 | 165.3 | 36 | 1155.7 | 10 | 86 | 7.5 %ile | 94.6 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 82.158 % | 0.079 % | 0.463 % | 2353.0 | 2864 |
BiomeSightRdp | 25 % | 0.002 % | 0.001 % | 8.0 | 32 |
CerbaLab | 66.667 % | 0.004 % | 0.003 % | 2.0 | 3 |
custom | 5.085 % | 0.002 % | 0.002 % | 3.0 | 59 |
es-xenogene | 13.793 % | 0.03 % | 0.014 % | 4.0 | 29 |
Medivere | 85.714 % | 0.01 % | 0.006 % | 6.0 | 7 |
SequentiaBiotech | 5.556 % | 0.015 % | 0.004 % | 2.0 | 36 |
Thorne | 67.778 % | 0.005 % | 0.008 % | 61.0 | 90 |
Thryve | 58.641 % | 0.014 % | 0.103 % | 811.0 | 1383 |
Tiny | 100 % | 0.001 % | % | 1.0 | 1 |
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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