Holdemanella Details: NCBI 1573535, gram-negative or unknown [genus]
| Holdemanella| Holdemanella De Maesschalck et al. 2014
Gut Microbiota: Holdemanella bacteria are found in the human gastrointestinal tract, contributing to the complex microbial community in the gut.
Anaerobic Bacteria: Members of the family Erysipelotrichaceae, including Holdemanella, are anaerobic bacteria, meaning they thrive in environments with little to no oxygen.
Metabolic Functions: The metabolic activities of Holdemanella, like other bacteria in the gut, are likely involved in the fermentation of dietary fibers and other complex carbohydrates. This fermentation process produces short-chain fatty acids (SCFAs) and other metabolites, which can have various effects on gut health.
Limited Specific Health Information: As of my last update, specific information on the direct health impacts of Holdemanella is not well-documented in the available scientific literature. The study of the gut microbiota, including less well-known genera like Holdemanella, is an active area of research.
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 Holdemanella
- 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 | 1.28 | 10 | 22850 | 0 | 13572 | 2908 | 90 | 5440.8 | 0 | 4590 | 0 %ile | 100 %ile | ||
| biomesight | 47.4 | 0 | 30 | 10 | 4950 | 0 | 17532 | 3118.6 | 90 | 7353.6 | 0 | 6290 | 3 %ile | 90.6 %ile |
| thryve | 49.73 | 0 | 39 | 2 | 161874 | 0 | 33902 | 4853.5 | 65 | 14820.9 | 0 | 3889 | 0 %ile | 100 %ile |
External Reference Ranges for Holdemanella
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| MyBioma | 0 | 600 | 0 | 0.06 |
Statistic by Lab Source for Holdemanella
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 50.544 % | 0.325 % | 0.754 % | 1486.0 | 2940 |
| BiomeSightRdp | 9.375 % | 0.003 % | 0.002 % | 3.0 | 32 |
| bugspeak | 100 % | 0.234 % | % | 1.0 | 1 |
| CosmosId | 46.875 % | 0.264 % | 0.622 % | 15.0 | 32 |
| custom | 9.836 % | 0.025 % | 0.037 % | 6.0 | 61 |
| Medivere | 85.714 % | 0.538 % | 0.612 % | 6.0 | 7 |
| SequentiaBiotech | 5.556 % | 0.46 % | 0.445 % | 2.0 | 36 |
| Thryve | 46.715 % | 0.498 % | 1.566 % | 647.0 | 1385 |
| Tiny | 100 % | 0.009 % | % | 1.0 | 1 |
|
|
To see medical conditions associated you may be logged in
And display level must be raised above public.
I would like to know what can change the quality that I have
- If I want to know that a substance also changes, then I just click on it
- If I want to know which study this information comes from, then I just clink in increases or decreases
Foods Containing the Holdemanella 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.