Parabacteroides johnsonii Details: NCBI 387661, gram-negative or unknown [species]
| DSM 18315| JCM 13406| Parabacteroides johnsonii| Parabacteroides johnsonii Sakamoto et al. 2007 emend. Hahnke et al. 2016| strain M-165
Gut Microbiota: Parabacteroides johnsonii is one of the many bacterial species that inhabit the human gut. The gut microbiota plays a crucial role in various physiological functions, including digestion, nutrient metabolism, and immune system regulation.
Anti-Inflammatory Properties: Some studies suggest that Parabacteroides johnsonii may have anti-inflammatory properties. It has been associated with the modulation of the immune response in the gut and may contribute to the maintenance of intestinal homeostasis.
Metabolic Effects: Research has indicated that specific strains of Parabacteroides johnsonii may influence metabolic processes. For example, they have been studied in the context of obesity and metabolic disorders, with some evidence suggesting a potential role in metabolic regulation.
Probiotic Potential: Given its presence in the gut and its potential health-related effects, Parabacteroides johnsonii has been investigated for its probiotic potential. Probiotics are live microorganisms that, when administered in adequate amounts, can confer health benefits to the host.
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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 Parabacteroides johnsonii
- 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 | 1.46 | 16 | 35850 | 0 | 14677 | 2213.8 | 130 | 6358.5 | 0 | 2270 | 0 %ile | 100 %ile | ||
| biomesight | 74.06 | 0 | 210 | 30 | 859 | 0 | 10389 | 1422.6 | 130 | 4574.7 | 0 | 670 | 9.1 %ile | 91.2 %ile |
| thorne | 31.03 | 1 | 11 | 0 | 12 | 4.1 | 2 | 3.9 | 1 | 11 | 9.1 %ile | 81.8 %ile | ||
| thryve | 35.02 | 0 | 21 | 1 | 1942 | 0 | 39251 | 2881.2 | 36 | 18555.9 | 7 | 501 | 0 %ile | 90.2 %ile |
| ubiome | 13.43 | 0 | 24 | 24 | 34976 | 0 | 18903 | 5806.2 | 3616 | 6681.9 | 0 | 14898 | 0 %ile | 100 %ile |
External Reference Ranges for Parabacteroides johnsonii
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Statistic by Lab Source for Parabacteroides johnsonii
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 80.729 % | 0.13 % | 0.434 % | 2392.0 | 2963 |
| BiomeSightRdp | 12.903 % | 1.468 % | 1.539 % | 4.0 | 31 |
| bugspeak | 100 % | 0.013 % | % | 1.0 | 1 |
| CerbaLab | 100 % | 0.069 % | 0.059 % | 3.0 | 3 |
| CosmosId | 43.75 % | 0.077 % | 0.126 % | 14.0 | 32 |
| custom | 6.557 % | 0.12 % | 0.17 % | 4.0 | 61 |
| es-xenogene | 3.448 % | 0.027 % | % | 1.0 | 29 |
| Medivere | 100 % | 0.093 % | 0.222 % | 7.0 | 7 |
| SequentiaBiotech | 2.778 % | 0.53 % | % | 1.0 | 36 |
| Thorne | 13.462 % | 0.001 % | 0.002 % | 14.0 | 104 |
| Thryve | 33.165 % | 0.269 % | 1.733 % | 461.0 | 1390 |
| Tiny | 50 % | 0.032 % | % | 1.0 | 2 |
| uBiome | 13.384 % | 0.581 % | 0.668 % | 106.0 | 792 |
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Foods Containing the Parabacteroides johnsonii 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.
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