| "Bacillus mucosus anaerobius" Prausnitz 1922| "Bacteroides praussnitzii" (sic) Hauduroy et al. 1937| ATCC 27768| Bacillus mucosus anaerobius| Bacteroides praussnitzii| butyrate-producing bacterium A2-165| Faecalibacterium prausnitzii| Faecalibacterium prausnitzii (Hauduroy et al. 1937) Duncan et al. 2002| Fusobacterium prausnitzii| Fusobacterium prausnitzii (Hauduroy et al. 1937) Moore and Holdeman 1970 (Approved Lists 1980)| NCIMB 13872
Butyrate Production: Faecalibacterium prausnitzii is known for its ability to produce butyrate, a short-chain fatty acid (SCFA). Butyrate serves as a vital energy source for the cells lining the colon, contributing to their health and integrity. It has anti-inflammatory properties and helps maintain gut barrier function.
Anti-inflammatory Effects: Butyrate produced by Faecalibacterium prausnitzii has potent anti-inflammatory properties that can help modulate the immune response in the gut. It can regulate the production of inflammatory molecules, potentially reducing gut inflammation and contributing to the management of inflammatory conditions like inflammatory bowel diseases (IBD).
Gut Health: Faecalibacterium prausnitzii plays a role in promoting overall gut health by contributing to the maintenance of a balanced gut microbiota. Its abundance in the gut has been associated with a healthier gut environment, potentially reducing the risk of gastrointestinal disorders and supporting gut barrier function.
Immune Modulation: This bacterium has been suggested to have immunomodulatory effects, influencing the immune system's function beyond the gut. It may contribute to a balanced immune response and could have implications in managing immune-related conditions.
Metabolic Health: Some research suggests that Faecalibacterium prausnitzii abundance might be associated with improved metabolic health. Higher levels of this bacterium have been correlated with better glucose metabolism and lower levels of markers related to metabolic disorders, such as insulin resistance.
Disease Associations: Alterations in the abundance of Faecalibacterium prausnitzii have been observed in various diseases, including inflammatory bowel diseases (IBD), irritable bowel syndrome (IBS), and metabolic disorders. However, its exact role in these conditions and whether the changes observed are causal or consequential remain areas of ongoing research.
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 | 5.12 | 0 | 0 | 5768 | 469070 | 0 | 162961 | 46721.3 | 33745 | 59305.8 | 0 | 79996 | 8 %ile | 100 %ile |
biomesight | 93.38 | 150 | 183160 | 23670 | 186480 | 0 | 279646 | 116789.1 | 109700 | 83090.4 | 0 | 220330 | 10.1 %ile | 91.2 %ile |
thorne | 100 | 2839 | 240313 | 0 | 210259 | 93602.1 | 87834 | 59519 | 12384 | 184104 | 0 %ile | 100 %ile | ||
thryve | 99.01 | 1088 | 222353 | 17039 | 201149 | 0 | 288144 | 115525.3 | 101062 | 88070.6 | 0 | 243922 | 11.4 %ile | 92 %ile |
ubiome | 92.27 | 0 | 101325 | 4003 | 229142 | 0 | 163632 | 60746.3 | 51525 | 52492.6 | 0 | 134319 | 8 %ile | 99 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Nirvana/CosmosId | 12100 | 57900 | 1.21 | 5.79 |
GanzImmun Diagostics | 15000 | 52000 | 1.5 | 5.2 |
Medivere | 19000 | 50000 | 1.9 | 5 |
XenoGene | 20000 | 150000 | 2 | 15 |
Thorne (20/80%ile) | 30138 | 79992 | 3.0138 | 7.9992 |
Jason Hawrelak | 100000 | 150000 | 10 | 15 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
Biomesight | 99.686 % | 11.749 % | 8.323 % | 2855.0 | 2864 |
BiomeSightRdp | 3.125 % | 0 % | % | 1.0 | 32 |
bugspeak | 100 % | 46.907 % | % | 1.0 | 1 |
CerbaLab | 100 % | 0.479 % | 0.463 % | 3.0 | 3 |
CosmosId | 90.625 % | 3.282 % | 1.825 % | 29.0 | 32 |
custom | 52.542 % | 2.903 % | 2.983 % | 31.0 | 59 |
es-xenogene | 96.552 % | 3.303 % | 2.057 % | 28.0 | 29 |
GanzimmunDiag | 100 % | 0.896 % | 0 % | 3.0 | 3 |
Microba | 21.429 % | 2.393 % | 1.758 % | 6.0 | 28 |
SequentiaBiotech | 94.444 % | 6.924 % | 6.619 % | 34.0 | 36 |
Thorne | 97.727 % | 5.298 % | 5.402 % | 86.0 | 88 |
Thryve | 99.132 % | 11.671 % | 8.725 % | 1371.0 | 1383 |
Tiny | 100 % | 0.064 % | % | 1.0 | 1 |
uBiome | 91.919 % | 6.06 % | 5.233 % | 728.0 | 792 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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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.
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