Luteibacter anthropi Details: NCBI 564369, gram-negative or unknown [species]
| CCM 7598| CCUG 25036| DSM 23190| Luteibacter anthropi| Luteibacter anthropi Kampfer et al. 2009| Luteibacter sp. CCUG 25036
Fermentation of Dietary Fibers: Clostridium leptum is known to be involved in the fermentation of complex carbohydrates and dietary fibers in the colon. This process produces short-chain fatty acids (SCFAs), which can have positive effects on gut health.
Butyrate Production: Some Clostridium species, including members of Clostridium leptum, are associated with the production of butyrate, a short-chain fatty acid. Butyrate is known to have anti-inflammatory properties and is considered beneficial for maintaining the health of the colonic epithelium.
Microbial Balance: Clostridium leptum is part of the complex ecosystem of the gut microbiota. Maintaining a balance within the microbial community is crucial for overall gut health and can have implications for systemic health.
Immune System Regulation: The gut microbiota, including bacteria like Clostridium leptum, plays a role in modulating the immune system. A balanced and diverse microbiome is thought to contribute to immune system homeostasis.
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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
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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 Luteibacter anthropi
- 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 | 0.18 | 1 | 26 | 0 | 37 | 15.8 | 18 | 10.8 | 1 | 26 | 16.7 %ile | 66.7 %ile | ||
| biomesight | 51.8 | 0 | 80 | 10 | 5260 | 0 | 4803 | 800.9 | 170 | 2041.8 | 0 | 1150 | 4 %ile | 97.3 %ile |
| thryve | 3.43 | 9 | 820 | 0 | 400 | 88.9 | 28 | 158.6 | 5 | 123 | 0 %ile | 100 %ile |
External Reference Ranges for Luteibacter anthropi
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Statistic by Lab Source for Luteibacter anthropi
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 54.57 % | 0.072 % | 0.183 % | 1618.0 | 2965 |
| CerbaLab | 33.333 % | 0 % | % | 1.0 | 3 |
| Medivere | 42.857 % | 0.002 % | 0.001 % | 3.0 | 7 |
| Thryve | 3.592 % | 0.014 % | 0.046 % | 50.0 | 1392 |
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