| delta/epsilon subdivisions
Sulfate-Reducing Bacteria (Deltaproteobacteria): Some members of the delta subdivision, specifically Deltaproteobacteria, include sulfate-reducing bacteria. These bacteria are involved in anaerobic respiration and play a role in the sulfur cycle. While sulfate-reducing bacteria are generally not associated with human health, in certain conditions, they may contribute to the production of hydrogen sulfide, a gas with a characteristic "rotten egg" odor, which can be problematic in certain environments.
Pathogenic Bacteria (Epsilonproteobacteria): The epsilon subdivision includes Epsilonproteobacteria, some of which are known human pathogens. Notable examples include Helicobacter pylori, which is associated with stomach ulcers and gastric cancer. Other members of Epsilonproteobacteria can be found in diverse environments, including the human gastrointestinal tract.
Symbiotic and Environmental Roles: Some members of the delta/epsilon subdivisions have symbiotic or mutualistic relationships with host organisms. For example, certain sulfate-reducing bacteria can form symbiotic relationships with marine invertebrates. Additionally, Epsilonproteobacteria may be found in various environmental niches, including hydrothermal vents and deep-sea environments.
Environmental Impact: Sulfate-reducing bacteria within the delta subdivision can influence the cycling of sulfur in various environments, impacting ecosystem processes. Epsilonproteobacteria, depending on their specific ecological roles, can also play a part in environmental processes and nutrient cycling.
Human Health Implications: Helicobacter pylori, a well-studied bacterium within the epsilon subdivision, is associated with gastric disorders. Infection with H. pylori is a risk factor for peptic ulcers and is considered a class 1 carcinogen for gastric cancer by the World Health Organization.
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 Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
Lab | KM Low | KM Percentile Low | KM High | KM Percentile High | Lab Low | Lab High | Mean | Median | Standard Deviation | Box Plot Low | Box Plot High |
---|---|---|---|---|---|---|---|---|---|---|---|
* | 10 | 0 %ile | 51212 | 92 %ile | 0 | 298438 | 52752.7 | 3420 | 125349.4 | 0 | 24472 |
biomesight | 370 | 10.4 %ile | 8830 | 91.1 %ile | 0 | 19946 | 5468.5 | 3230 | 7386.4 | 0 | 10830 |
thorne | 440 | 0 %ile | 11504 | 100 %ile | 0 | 8293 | 2887.2 | 1801 | 2757.9 | 195 | 4377 |
thryve | 115 | 10.8 %ile | 7887 | 89.8 %ile | 0 | 104700 | 9332.9 | 2256 | 48656.8 | 0 | 9440 |
ubiome | 21 | 0 %ile | 12885 | 91.1 %ile | 0 | 27810 | 7804.6 | 4655 | 10206.7 | 0 | 14808 |
Low Boundary | High Boundary | Low Boundary %age | High Boundary %age | Lab Samples |
---|
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 86.667 % | 1.017 % | 1.532 % | 13.0 | 15 |
BiomeSight | 98.91 % | 0.533 % | 0.723 % | 2812.0 | 2843 |
BiomeSightRdp | 100 % | 0.581 % | 1.241 % | 32.0 | 32 |
bugspeak | 100 % | 0.065 % | % | 1.0 | 1 |
CerbaLab | 100 % | 0.21 % | 0.255 % | 3.0 | 3 |
CosmosId | 62.5 % | 0.341 % | 0.443 % | 20.0 | 32 |
custom | 74.576 % | 1.651 % | 2.181 % | 44.0 | 59 |
es-xenogene | 96.552 % | 0.267 % | 0.266 % | 28.0 | 29 |
Medivere | 100 % | 44.006 % | 6.475 % | 7.0 | 7 |
Microba | 75 % | 0.291 % | 0.233 % | 21.0 | 28 |
Microba1 | 100 % | 0.22 % | % | 1.0 | 1 |
SequentiaBiotech | 94.444 % | 14.668 % | 17.444 % | 34.0 | 36 |
Thorne | 81.176 % | 0.15 % | 0.215 % | 69.0 | 85 |
Thryve | 97.319 % | 0.792 % | 4.366 % | 1343.0 | 1380 |
Tiny | 100 % | 0.003 % | % | 1.0 | 1 |
uBiome | 87.121 % | 0.779 % | 1.021 % | 690.0 | 792 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
---|
|
And display level must be raised above public.
This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.
Copyright 2016-2023 Lassesen Consulting, LLC [2007], DBA, Microbiome Prescription. All rights served.
Permission to data scrap or reverse engineer is explicitly denied to all users. U.S. Code Title 18 PART I CHAPTER 47 Β§β―1030, CETS No.185, CFAA
Use of data on this site is prohibited except under written license. There is no charge for individual personal use. Use for any commercial applications or research requires a written license.
Caveat emptor: Analysis and suggestions are based on modelling (and thus infererence) based on studies. The data sources are usually given for those that wish to consider alternative inferences. theories and models.
Inventions/Methodologies on this site are Patent Pending.
Microbiome Prescription do not make any representations that data or analyses available on this site is suitable for human diagnostic purposes, for informing treatment decisions, or for any other purposes and accept no responsibility or liability whatsoever for such use.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.