Sutterella stercoricanis Details: NCBI 234908, gram-negative or unknown [species]
| CCUG 47620| CIP 108024| strain 5BAC4| Sutterella stercoricanis| Sutterella stercoricanis Greetham et al. 2004
Commensal Bacteria: Many strains of E. coli are commensal, meaning they coexist harmlessly with their hosts. They are part of the natural microbial community in the human gut and play a role in nutrient absorption and overall gut health.
Pathogenic Strains: Certain strains of E. coli can be pathogenic and cause a range of illnesses, including gastrointestinal infections. Pathogenic strains are often categorized into different groups, such as enterotoxigenic E. coli (ETEC), enteropathogenic E. coli (EPEC), enterohemorrhagic E. coli (EHEC), and others. These pathogenic strains can cause symptoms ranging from mild diarrhea to more severe conditions like hemolytic-uremic syndrome (HUS).
Foodborne Illness: Some pathogenic E. coli strains are associated with foodborne illnesses. Contamination of food, especially undercooked ground beef, unpasteurized milk, and raw vegetables, can lead to E. coli infections in humans.
Urinary Tract Infections (UTIs): Certain strains of E. coli can cause urinary tract infections, particularly in women. These infections can lead to symptoms such as painful urination, frequent urination, and discomfort in the lower abdomen.
Antibiotic Resistance: Like many bacteria, some strains of E. coli have developed resistance to antibiotics. This can complicate the treatment of infections caused by antibiotic-resistant strains.
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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 Sutterella stercoricanis
- 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 | 0.35 | 19 | 35686 | 0 | 32997 | 10564 | 6832 | 11445.6 | 19 | 35686 | 10 %ile | 80 %ile | ||
| biomesight | 52.68 | 0 | 40 | 10 | 6280 | 0 | 15620 | 3117.6 | 50 | 6379 | 0 | 6030 | 0 %ile | 91 %ile |
| thorne | 6.9 | 1 | 2 | 0 | 3 | 1.5 | 2 | 0.7 | 1 | 2 | 25 %ile | 50 %ile | ||
| thryve | 59.21 | 0 | 63 | 16 | 50163 | 0 | 28965 | 5326.6 | 69 | 12060.6 | 0 | 6393 | 7.3 %ile | 98.8 %ile |
| ubiome | 26.11 | 0 | 177 | 18 | 138547 | 0 | 59717 | 16968.7 | 7982 | 21810.2 | 0 | 43533 | 0 %ile | 100 %ile |
External Reference Ranges for Sutterella stercoricanis
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Statistic by Lab Source for Sutterella stercoricanis
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 56.767 % | 0.311 % | 0.639 % | 1682.0 | 2963 |
| Medivere | 100 % | 1.149 % | 1.203 % | 7.0 | 7 |
| SequentiaBiotech | 2.778 % | 0.405 % | % | 1.0 | 36 |
| Thorne | 1.923 % | 0 % | 0 % | 2.0 | 104 |
| Thryve | 57.77 % | 0.491 % | 1.15 % | 803.0 | 1390 |
| uBiome | 26.01 % | 1.697 % | 2.181 % | 206.0 | 792 |
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