| ATCC 17929| BCCM/LMG:18080| CCUG 20536| CIP 101124| DSM 19120| DSM 43760| JCM 14871| LMG 18080| LMG:18080| NCTC 9935| Schaalia odontolytica| Schaalia odontolytica (Batty 1958) Nouioui et al. 2018
Oral microbiota: Schaalia odontolytica is a member of the oral microbiota, the diverse community of microorganisms inhabiting the mouth. While the oral microbiota primarily consists of bacteria, it also includes fungi, viruses, and other microorganisms. These microorganisms play essential roles in oral health and disease, influencing processes such as tooth decay, gum disease, and oral malodor.
Potential role in oral health: While specific information on the role of Schaalia odontolytica in oral health is limited, bacteria within the Erysipelotrichaceae family have been implicated in various oral conditions. Some studies have suggested associations between Erysipelotrichaceae abundance and periodontal disease, a chronic inflammatory condition affecting the gums and supporting structures of the teeth. However, further research is needed to understand the specific contributions of Schaalia odontolytica to oral health and disease.
Gut microbiota: In addition to the oral cavity, Schaalia odontolytica has been detected in the gut microbiota, the complex community of microorganisms residing in the gastrointestinal tract. While the gut microbiota primarily consists of bacteria, it also includes archaea, fungi, viruses, and other microorganisms. Alterations in the composition and function of the gut microbiota have been implicated in various health conditions, including inflammatory bowel diseases (IBD), obesity, metabolic syndrome, and colorectal cancer. However, the specific role of Schaalia odontolytica in gut health and disease is not well-understood.
Research gaps: Despite its isolation from the human oral cavity and gut, Schaalia odontolytica remains relatively understudied compared to other members of the oral and gut microbiota. Further research is needed to elucidate its metabolic capabilities, ecological role, and potential contributions to human health and disease.
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 Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
Lab | KM Low | KM Percentile Low | KM High | KM Percentile High | Lab Low | Lab High | Mean | Median | Standard Deviation | Box Plot Low | Box Plot High |
---|---|---|---|---|---|---|---|---|---|---|---|
* | 10 | 0 %ile | 301 | 100 %ile | 0 | 214 | 71.4 | 40 | 73 | 0 | 160 |
biomesight | 10 | 0 %ile | 60 | 90.1 %ile | 0 | 488 | 55.2 | 30 | 220.7 | 10 | 70 |
thorne | 2 | 0 %ile | 587 | 100 %ile | 0 | 358 | 120 | 87 | 121.2 | 0 | 229 |
thryve | 1 | 0 %ile | 105 | 89.9 %ile | 0 | 1031 | 105.3 | 46 | 472.2 | 0 | 120 |
ubiome | 43 | 8 %ile | 558 | 95.3 %ile | 0 | 3634 | 313.9 | 114 | 1694.1 | 0 | 328 |
Low Boundary | High Boundary | Low Boundary %age | High Boundary %age | Lab Samples |
---|---|---|---|---|
0 | 0 | 0 | 0 | Thorne (20/80%ile) |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 31.246 % | 0.007 % | 0.046 % | 888.0 | 2842 |
BiomeSightRdp | 6.25 % | 0.01 % | 0.011 % | 2.0 | 32 |
CerbaLab | 66.667 % | 0.009 % | 0.007 % | 2.0 | 3 |
CosmosId | 34.375 % | 0.004 % | 0.003 % | 11.0 | 32 |
custom | 8.475 % | 0.012 % | 0.01 % | 5.0 | 59 |
Medivere | 71.429 % | 0.004 % | 0.003 % | 5.0 | 7 |
Microba | 3.571 % | 0.018 % | % | 1.0 | 28 |
Thorne | 83.529 % | 0.009 % | 0.009 % | 71.0 | 85 |
Thryve | 51.232 % | 0.011 % | 0.055 % | 707.0 | 1380 |
uBiome | 56.944 % | 0.031 % | 0.169 % | 451.0 | 792 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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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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