| Alcaligenaceae| Alcaligenaceae De Ley et al. 1986
Opportunistic infections: Some species within the Alcaligenaceae family, such as Alcaligenes xylosoxidans, have been associated with opportunistic infections in humans. These infections can occur in individuals who are immunocompromised or have underlying health conditions. Alcaligenes xylosoxidans, for example, has been reported to cause infections such as pneumonia, urinary tract infections (UTIs), bloodstream infections (septicemia), and infections in patients with cystic fibrosis.
Hospital-acquired infections: Certain species within the Alcaligenaceae family have been identified as opportunistic pathogens in healthcare settings, particularly in association with medical devices such as catheters and ventilators. Infections caused by these bacteria can pose challenges in clinical management and may require specific antibiotic treatments.
Respiratory infections: Some species of Alcaligenaceae have been implicated in respiratory infections, particularly in individuals with underlying lung conditions or compromised immune systems. These infections can range from mild respiratory tract infections to more severe pneumonia.
Wound infections: In certain cases, members of the Alcaligenaceae family have been isolated from wound infections, especially in individuals with compromised skin integrity or in healthcare settings where wound care is necessary.
Septicemia: Alcaligenaceae bacteria have been identified as causative agents of bloodstream infections (septicemia), particularly in hospitalized patients with predisposing factors such as indwelling medical devices, immunosuppression, or chronic illnesses.
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 | 1.5 | 10 | 74275 | 0 | 50818 | 10614.6 | 266 | 20511.8 | 0 | 1299 | 0 %ile | 100 %ile | ||
biomesight | 91.95 | 23720 | 2819 | 25880 | 0 | 46672 | 15919.6 | 12245 | 15689.8 | 0 | 30608 | 11.2 %ile | 91.1 %ile | |
thorne | 100 | 46 | 3652 | 0 | 1567 | 279 | 138 | 657.4 | 32 | 236 | 0 %ile | 100 %ile | ||
thryve | 15.61 | 0 | 4 | 1 | 39480 | 0 | 6248 | 309.9 | 22 | 3029.9 | 12 | 64 | 0 %ile | 100 %ile |
ubiome | 0.76 | 18 | 1079 | 0 | 1052 | 255.8 | 120 | 406.1 | 18 | 1079 | 12.5 %ile | 75 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 75.76 | 135.56 | 0.0076 | 0.0136 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 6.667 % | 0.07 % | % | 1.0 | 15 |
Biomesight | 98.045 % | 1.625 % | 1.628 % | 2808.0 | 2864 |
BiomeSightRdp | 21.875 % | 0.005 % | 0.003 % | 7.0 | 32 |
bugspeak | 100 % | 0.011 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0.003 % | 0.001 % | 2.0 | 3 |
custom | 3.39 % | 1.177 % | 1.659 % | 2.0 | 59 |
es-xenogene | 13.793 % | 0.065 % | 0.012 % | 4.0 | 29 |
Medivere | 100 % | 4.718 % | 1.62 % | 7.0 | 7 |
SequentiaBiotech | 27.778 % | 0.033 % | 0.023 % | 10.0 | 36 |
Thorne | 85.556 % | 0.015 % | 0.041 % | 77.0 | 90 |
Thryve | 14.895 % | 0.029 % | 0.28 % | 206.0 | 1383 |
Tiny | 100 % | 0.001 % | % | 1.0 | 1 |
uBiome | 0.758 % | 0.026 % | 0.041 % | 6.0 | 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.
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.
Copyright 2016-2024 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.