| "Micrococcus mucilaginosus" Migula 1900| ATCC 25296| CCM 2417| CCUG 20962| CIP 71.14| DSM 20746| IFO 15673| JCM 10910| Micrococcus mucilaginosus| NBRC 15673| NCTC 10663| Rothia mucilaginosa| Rothia mucilaginosa (Bergan and Kocur 1982) Collins et al. 2000| Stomatococcus mucilaginosus| Stomatococcus mucilaginosus (ex Migula 1900) Bergan and Kocur 1982
Commensal Flora: Rothia mucilaginosa is generally considered a commensal bacterium, meaning it typically coexists with the host without causing harm under normal circumstances. It is part of the complex microbial community in the oral cavity.
Infections: While Rothia mucilaginosa is usually commensal, there have been reported cases of infections associated with this bacterium. In some instances, it has been isolated from clinical specimens, such as respiratory secretions, blood, and abscesses, suggesting a potential role in infections. However, the clinical significance of Rothia mucilaginosa in infections is not fully understood, and it may be opportunistic rather than a primary pathogen.
Respiratory Infections: Rothia mucilaginosa has been implicated in respiratory infections, including pneumonia. Immunocompromised individuals, such as those with underlying health conditions or weakened immune systems, may be more susceptible to infections caused by Rothia mucilaginosa.
Endocarditis: There have been reports of Rothia mucilaginosa causing infective endocarditis, an infection of the inner lining of the heart chambers and valves. Endocarditis is a serious condition that requires prompt medical attention and treatment with antibiotics.
Antibiotic Susceptibility: The susceptibility of Rothia mucilaginosa to antibiotics may vary, and antibiotic resistance can be a concern in some cases. Identifying the specific strain and its antibiotic susceptibility pattern is crucial for effective treatment.
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 | 0.84 | 10 | 1220 | 0 | 832 | 161.1 | 40 | 342.1 | 10 | 1220 | 0 %ile | 100 %ile | ||
biomesight | 20.24 | 0 | 10 | 10 | 190 | 0 | 1466 | 110.8 | 30 | 691.4 | 10 | 70 | 0 %ile | 95.4 %ile |
thorne | 100 | 2 | 269 | 0 | 212 | 71.3 | 45 | 71.6 | 9 | 117 | 0 %ile | 100 %ile | ||
thryve | 30.69 | 0 | 20 | 1 | 330 | 0 | 5066 | 247.5 | 40 | 2458.4 | 5 | 117 | 0 %ile | 95.3 %ile |
ubiome | 9.38 | 0 | 0 | 20 | 11470 | 0 | 3004 | 292.3 | 47 | 1383.4 | 3 | 147 | 0 %ile | 100 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
Thorne (20/80%ile) | 3.64 | 14.83 | 0.0004 | 0.0015 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 20.67 % | 0.011 % | 0.065 % | 592.0 | 2864 |
CerbaLab | 66.667 % | 0.004 % | 0.001 % | 2.0 | 3 |
CosmosId | 40.625 % | 0.022 % | 0.04 % | 13.0 | 32 |
custom | 6.78 % | 0.003 % | 0.001 % | 4.0 | 59 |
Thorne | 82.955 % | 0.006 % | 0.006 % | 73.0 | 88 |
Thryve | 33.767 % | 0.021 % | 0.211 % | 467.0 | 1383 |
Tiny | 100 % | 0.001 % | % | 1.0 | 1 |
uBiome | 9.343 % | 0.029 % | 0.138 % | 74.0 | 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.
This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.
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