Gut Microbiota Composition: Christensenellaceae bacteria are among the many microbial species that inhabit the human gastrointestinal tract. The composition of the gut microbiota is known to have a significant impact on human health, influencing various physiological functions.
Association with Lean Phenotype: Some studies have suggested an association between the abundance of Christensenellaceae in the gut microbiota and a lean or healthy body phenotype. Higher abundance of Christensenellaceae has been reported in individuals with lower body mass index (BMI).
Heritability: Research indicates that the abundance of Christensenellaceae in the gut may have a heritable component, meaning that its presence or abundance may be influenced by genetic factors. It has been observed to run in families.
Metabolic Functions: While the specific metabolic functions of Christensenellaceae are not fully elucidated, members of the Firmicutes phylum, including Christensenellaceae, are known to be involved in the fermentation of dietary fibers and the production of short-chain fatty acids (SCFAs). SCFAs play a role in gut health and can have systemic effects on metabolism.
Correlation with Health Outcomes: Research is ongoing to understand the potential correlations between the abundance of Christensenellaceae and various health outcomes. However, it's important to note that associations do not necessarily imply causation, and the relationship between specific bacterial taxa and health is complex.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
![]() |
1454 Interactions with Other Bacteria | 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 | Standard Deviation |
---|---|---|---|---|---|---|---|---|
All | 0.002 | 7.8 %ile | 25.213 | 100 %ile | 0 | 5.158 | 0.495 | 2.379 |
Ombre/Thryve | 0 | 0 %ile | 0.028 | 92.8 %ile | 0 | 4.939 | 0.424 | 2.304 |
uBiome | 0.002 | 0 %ile | 4.098 | 100 %ile | 0 | 0.664 | 0.037 | 0.32 |
Low Boundary | High Boundary | Low Boundary %age | High Boundary %age | Lab Samples |
---|
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
custom | 4.478 % | 0.667 % | 1.061 % | 3.0 | 67 |
Medivere | 100 % | 6.004 % | 4.838 % | 7.0 | 7 |
bugspeak | 100 % | 0.011 % | % | 1.0 | 1 |
CosmosId | 73.684 % | 0.262 % | 0.229 % | 28.0 | 38 |
Microba | 6.667 % | 0.895 % | 0.799 % | 2.0 | 30 |
AmericanGut | 77.778 % | 0.375 % | 0.438 % | 14.0 | 18 |
BiomeSightRdp | 35.556 % | 9.727 % | 6.172 % | 16.0 | 45 |
Microba1 | 100 % | 0.02 % | % | 1.0 | 1 |
es-xenogene | 14.286 % | 0.209 % | 0.176 % | 5.0 | 35 |
SequentiaBiotech | 66.667 % | 0.048 % | 0.05 % | 24.0 | 36 |
Thorne | 100 % | 0.056 % | 0.037 % | 55.0 | 55 |
Tiny | 100 % | 0.005 % | % | 1.0 | 1 |
uBiome | 22.825 % | 0.037 % | 0.32 % | 181.0 | 793 |
CerbaLab | 100 % | 0.024 % | 0.022 % | 3.0 | 3 |
Thryve | 24.825 % | 0.306 % | 1.957 % | 390.0 | 1571 |
|
And display level must be raised above public.
All suggestions are computed solely on their predicted microbiome impact. Safety, side-effects etc must be evaluated by your medical professionals before starting. Some items suggests have significant risk of adverse consequences for some people.
Special thanks to David F Morrison and Geert Van Houcke for doing Quality Assurance. Special thanks to Oliver Luk, B.Sc. (Biology) from BiomeSight for spot checking the coding of data from the US National Library of Medicine
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.