| Alphaproteobacteraeota| Alphaproteobacteraeota Oren et al. 2015| Alphaproteobacteriota| Proteobacteria| Proteobacteria [class] Stackebrandt et al. 1988| Proteobacteria Garrity et al. 2005| purple bacteria| purple bacteria and relatives| purple non-sulfur bacteria| purple photosynthetic bacteria| purple photosynthetic bacteria and relatives
Infections: Pseudomonadota bacteria, particularly species within the genus Pseudomonas, can cause a wide range of infections in humans, including urinary tract infections, respiratory tract infections (such as pneumonia), bloodstream infections (bacteremia), skin and soft tissue infections (such as cellulitis and wound infections), and infections associated with medical devices or implants (such as catheter-related infections and ventilator-associated pneumonia). Pseudomonas aeruginosa, in particular, is a common opportunistic pathogen known for its ability to cause severe infections, especially in hospitalized patients and individuals with underlying health conditions.
Antibiotic resistance: Pseudomonadota bacteria, including Pseudomonas species, are known for their intrinsic and acquired resistance to multiple antibiotics. This resistance can complicate the treatment of infections caused by these bacteria, leading to treatment failures and prolonged illness. Pseudomonas aeruginosa, in particular, is notorious for its ability to develop resistance to a wide range of antibiotics, making it difficult to treat and posing challenges for antimicrobial stewardship efforts.
Nosocomial infections: Pseudomonadota bacteria are important causes of nosocomial (hospital-acquired) infections, particularly in healthcare settings such as hospitals, long-term care facilities, and intensive care units. Factors such as prolonged hospitalization, invasive medical procedures, indwelling medical devices, and exposure to contaminated healthcare environments can increase the risk of acquiring infections caused by Pseudomonas and other opportunistic pathogens.
Community-acquired infections: While Pseudomonadota infections are often associated with healthcare settings, certain species can also cause community-acquired infections, particularly in individuals with predisposing factors such as chronic lung disease, cystic fibrosis, or compromised immune function. Community-acquired infections caused by Pseudomonas species are less common but can occur, especially in cases of environmental exposure or contact with contaminated water sources.
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 | 8.96 | 0 | 0 | 1 | 166800 | 0 | 452951 | 100091.9 | 18660 | 180030.3 | 0 | 145618 | 0 %ile | 92 %ile |
biomesight | 93.76 | 2430 | 73780 | 15260 | 75980 | 0 | 157220 | 52045.3 | 37050 | 53660.7 | 7090 | 89810 | 9.5 %ile | 90.9 %ile |
thorne | 100 | 4649 | 315137 | 0 | 138265 | 26813.4 | 11972 | 56863 | 2480 | 33036 | 0 %ile | 100 %ile | ||
thryve | 100 | 2206 | 56672 | 5145 | 47303 | 0 | 171547 | 35538.5 | 21497 | 69392.1 | 0 | 58172 | 11.1 %ile | 90.1 %ile |
ubiome | 100 | 7009 | 97328 | 6261 | 82404 | 0 | 143507 | 51459.3 | 38703 | 46962.9 | 4387 | 94261 | 7 %ile | 92 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Jason Hawrelak | 0 | 40000 | 0 | 4 |
XenoGene | 0 | 50000 | 0 | 5 |
Thorne (20/80%ile) | 4157.6 | 9602 | 0.4158 | 0.9602 |
Lab Teletest | 5000 | 200000 | 0.5 | 20 |
Nirvana/CosmosId | 6100 | 23100 | 0.61 | 2.31 |
Medivere | 20000 | 50000 | 2 | 5 |
GanzImmun Diagostics | 40000 | 88000 | 4 | 8.8 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 100 % | 14.32 % | 18.105 % | 15.0 | 15 |
BiomeSight | 100 % | 5.215 % | 5.755 % | 2864.0 | 2864 |
BiomeSightRdp | 100 % | 1.093 % | 2.404 % | 32.0 | 32 |
bugspeak | 100 % | 1.312 % | % | 1.0 | 1 |
CerbaLab | 100 % | 0.034 % | 0.057 % | 3.0 | 3 |
CosmosId | 100 % | 2.026 % | 2.983 % | 32.0 | 32 |
custom | 89.831 % | 5.606 % | 6.608 % | 53.0 | 59 |
es-xenogene | 96.552 % | 3.267 % | 8.785 % | 28.0 | 29 |
GanzimmunDiag | 100 % | 3.431 % | 0 % | 3.0 | 3 |
Medivere | 100 % | 63.985 % | 11.275 % | 7.0 | 7 |
Microba | 100 % | 1.652 % | 1.89 % | 28.0 | 28 |
Microba1 | 100 % | 0.47 % | % | 1.0 | 1 |
SequentiaBiotech | 100 % | 26.15 % | 23.005 % | 36.0 | 36 |
Thorne | 88.636 % | 1.528 % | 3.652 % | 78.0 | 88 |
Thryve | 100 % | 3.206 % | 6.318 % | 1383.0 | 1383 |
Tiny | 100 % | 1.367 % | % | 1.0 | 1 |
uBiome | 99.621 % | 5.142 % | 4.699 % | 789.0 | 792 |
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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