| 'Coriobacterineae'| Coriobacteriales| Coriobacteriales Stackebrandt et al. 1997 emend. Gupta et al. 2013| Coriobacteriales Stackebrandt et al. 1997 emend. Zhi et al. 2009| Coriobacterineae
Gut Microbiota Composition: Coriobacteriales bacteria are found in the human gut microbiota, contributing to the complex and diverse microbial community that resides in the digestive tract.
Metabolism and Fermentation: Some Coriobacteriales species are involved in the fermentation of various compounds in the gut. This metabolic activity can contribute to the production of metabolites, including short-chain fatty acids (SCFAs), which play a role in gut health.
Associations with Diet: The abundance of Coriobacteriales in the gut microbiota may be influenced by dietary factors. Certain studies have suggested associations between the presence of Coriobacteriales and specific dietary patterns.
Estrogen Metabolism: Some bacteria within the Coriobacteriales order have been implicated in estrogen metabolism. They are capable of converting estrogen precursors into biologically active or inactive forms. This has implications for hormone metabolism and may influence conditions related to hormonal balance.
Potential Role in Immune Modulation: The interactions between Coriobacteriales bacteria and the host immune system are areas of ongoing research. Some studies have suggested potential immunomodulatory effects, but the specific mechanisms and their implications for health are still being explored.
Association with Health Conditions: Changes in the abundance of Coriobacteriales have been reported in various health conditions, including metabolic disorders and inflammatory conditions. However, the specific roles of Coriobacteriales in these conditions are complex and may depend on the specific species within the order.
Influence on Metabolic Health: Some Coriobacteriales bacteria have been associated with metabolic health, and alterations in their abundance have been observed in conditions such as obesity and metabolic syndrome. However, the relationships between specific Coriobacteriales species and metabolic health are still an active area of investigation.
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 | 6.44 | 0 | 0 | 10 | 71300 | 0 | 29092 | 6750.8 | 1746 | 11398.4 | 0 | 16015 | 0 %ile | 100 %ile |
biomesight | 92.96 | 0 | 4320 | 429 | 4740 | 0 | 21350 | 3888.4 | 1635 | 8909.1 | 0 | 5480 | 10.2 %ile | 90.9 %ile |
thorne | 100 | 43 | 48109 | 0 | 43290 | 14331 | 11735 | 14775.2 | 0 | 34357 | 0 %ile | 100 %ile | ||
thryve | 93.23 | 15 | 6819 | 81 | 7045 | 0 | 30808 | 5357.3 | 1783 | 12985.2 | 0 | 8189 | 11.7 %ile | 90.4 %ile |
ubiome | 98.86 | 1435 | 52022 | 4196 | 46320 | 0 | 82536 | 27601.6 | 19532 | 28027.7 | 0 | 56507 | 8 %ile | 91.7 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 335.22 | 5957.4 | 0.0335 | 0.5957 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
AmericanGut | 100 % | 0.122 % | 0.125 % | 15.0 | 15 |
BiomeSight | 99.162 % | 0.35 % | 0.826 % | 2840.0 | 2864 |
BiomeSightRdp | 71.875 % | 0.039 % | 0.067 % | 23.0 | 32 |
bugspeak | 100 % | 0.137 % | % | 1.0 | 1 |
CerbaLab | 100 % | 0.035 % | 0.023 % | 3.0 | 3 |
CosmosId | 71.875 % | 1.107 % | 1.541 % | 23.0 | 32 |
custom | 49.153 % | 0.871 % | 1.035 % | 29.0 | 59 |
es-xenogene | 100 % | 0.188 % | 0.282 % | 29.0 | 29 |
GanzimmunDiag | 100 % | 0.323 % | 0 % | 3.0 | 3 |
Medivere | 100 % | 0.476 % | 0.438 % | 7.0 | 7 |
Microba | 7.143 % | 0.115 % | 0.144 % | 2.0 | 28 |
SequentiaBiotech | 94.444 % | 1.29 % | 1.495 % | 34.0 | 36 |
Thorne | 85.227 % | 0.687 % | 1.141 % | 75.0 | 88 |
Thryve | 93.637 % | 0.523 % | 1.213 % | 1295.0 | 1383 |
Tiny | 100 % | 0.332 % | % | 1.0 | 1 |
uBiome | 98.485 % | 2.762 % | 2.802 % | 780.0 | 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.