Runella Details: NCBI 105, gram-negative or unknown [genus]
| Runella| Runella Larkin and Williams 1978
Limited Research: Some bacterial genera, especially those found in environmental habitats and not commonly associated with human pathogens, may have limited research focused on their interactions with human health.
Non-pathogenic Nature: Many bacteria in environmental genera are not typically associated with causing diseases in humans. They may have specific roles in natural ecosystems, but their interactions with the human body may be limited or non-pathogenic.
Diversity within the Genus: The health impacts of bacteria can vary widely even within a single genus. Different species within the Runella genus may have distinct characteristics and potential effects.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
- Immune Epitope Database
- The NCBI taxonomy database
- UniProt
- Immune Epitope Taxonomy Database (IEDB)
- AI Engines For more Details: Perplexity Kagi Labs You
 Statistics
|
NCBI | Data Punk | End Products Produced |
Lab Reporting
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.
Desired Levels Suggestions for Runella
- Frequency - how often do samples show this bacteria
- UD - An alternative statistical algorithm (which factors in the frequency)
- Kaltoft-Moldrup Heuristic Using uploaded data
- Lab Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
| 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 | 0.44 | 5 | 200 | 0 | 190 | 62.7 | 44 | 65.1 | 5 | 200 | 8.3 %ile | 83.3 %ile | ||
| biomesight | 34.87 | 0 | 20 | 10 | 60 | 0 | 139 | 43.1 | 30 | 49 | 10 | 70 | 0 %ile | 90.6 %ile |
| thorne | 89.66 | 1 | 123 | 0 | 66 | 16.7 | 10 | 25.1 | 2 | 16 | 0 %ile | 100 %ile | ||
| thryve | 5.14 | 0 | 0 | 7 | 97 | 0 | 60 | 24.4 | 19 | 18.1 | 7 | 35 | 0 %ile | 100 %ile |
External Reference Ranges for Runella
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Thorne (20/80%ile) | 5.46 | 16.15 | 0.0005 | 0.0016 |
Statistic by Lab Source for Runella
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| Biomesight | 37.597 % | 0.004 % | 0.005 % | 1114.0 | 2963 |
| CerbaLab | 66.667 % | 0.001 % | 0 % | 2.0 | 3 |
| es-xenogene | 10.345 % | 0.015 % | 0.005 % | 3.0 | 29 |
| Medivere | 71.429 % | 0.004 % | 0.003 % | 5.0 | 7 |
| Thorne | 68.269 % | 0.001 % | 0.002 % | 71.0 | 104 |
| Thryve | 4.82 % | 0.002 % | 0.002 % | 67.0 | 1390 |
|
|
To see medical conditions associated you may be logged in
And display level must be raised above public.
Foods Containing the Runella bacteria
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.
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 § 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.