| Micrococcaceae| Micrococcaceae Pribham (sic) 1929 (Approved Lists 1980) emend. Stackebrandt et al. 1997| Micrococcaceae Pribram 1929 (Approved Lists 1980) emend. Stackebrandt et al. 1997| Micrococcaceae Pribram 1929 (Approved Lists 1980) emend. Zhi et al. 2009| Yaniaceae| Yaniaceae Li et al. 2005| Yaniellaceae| Yaniellaceae Li et al. 2008 emend. Zhi et al. 2009
Skin infections: Certain species within the Micrococcaceae family, such as Staphylococcus and Micrococcus species, can cause skin infections in humans. Staphylococcus aureus, in particular, is a common cause of skin and soft tissue infections, including impetigo, cellulitis, and abscesses. These infections can range from mild to severe and may require antibiotic treatment depending on the severity and underlying health conditions of the affected individual.
Wound infections: Micrococcaceae bacteria, especially Staphylococcus species, are known to cause wound infections, particularly in healthcare settings. Surgical wounds, burns, and other types of injuries can become infected with these bacteria, leading to complications such as delayed wound healing, tissue damage, and systemic infections if not properly treated.
Nosocomial infections: Micrococcaceae bacteria are important causes of nosocomial (hospital-acquired) infections, particularly in healthcare settings such as hospitals, long-term care facilities, and intensive care units. Factors such as prolonged hospitalization, invasive medical procedures, indwelling medical devices, and exposure to contaminated healthcare environments can increase the risk of acquiring infections caused by Micrococcaceae bacteria.
Respiratory infections: Some species within the Micrococcaceae family, such as Staphylococcus aureus and Staphylococcus epidermidis, can cause respiratory infections, particularly in individuals with underlying lung diseases or compromised immune systems. Staphylococcus aureus pneumonia, for example, can lead to severe respiratory symptoms and complications if left untreated.
Systemic infections: In addition to localized infections, Micrococcaceae bacteria can also cause systemic infections when they enter the bloodstream or other parts of the body. Staphylococcus aureus bacteremia, for example, can lead to serious complications such as sepsis, infective endocarditis, and septic arthritis, which may require intensive medical treatment and monitoring.
The above data is from 1000 Healthy Individuals done using Shotgun(10 Millions reads) provide courtesy of Precision Biome.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
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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 | Average | Median | Minimum | Maximum | Std.Dev. | Skew | 25 - 75 Percentile | 5 - 95 Percentile | Lab Ranges | Box-Plot-Whiskers | Harmonic Mean | Geometric Mean | Obs. |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BiomeSight | 0.3474 | 0.0184 | 0.003 | 0.001 | 4.6731 | 0.2145 | 0.2153 | 0.002 - 0.006 | 0.001 - 0.022 | -0.3999 - 0.4367 | -0.004 - 0.012 | 0.0026 | 0.0038 | 1287 |
CosmosId | 0.6286 | 0.0214 | 0.0055 | 0.001 | 0.155 | 0.043 | 1.1066 | 0.0023 - 0.0193 | 0.001 - 0.1436 | -0.0626 - 0.1053 | -0.0233 - 0.0448 | 0.0034 | 0.007 | 22 |
custom | 0.1489 | 0.0035 | 0.003 | 0.0014 | 0.0084 | 0.0022 | 0.7325 | 0.003 - 0.003 | 0.0019 - 0.0068 | -0.0008 - 0.0079 | 0.003 - 0.003 | 0.0028 | 0.0031 | 7 |
es-xenogene | 0.7727 | 0.0175 | 0.007 | 0.001 | 0.09 | 0.0233 | 1.3504 | 0.002 - 0.027 | 0.001 - 0.05 | -0.0279 - 0.0629 | -0.0355 - 0.0645 | 0.0035 | 0.0075 | 17 |
Medivere | 0.8571 | 0.021 | 0.0096 | 0.001 | 0.0587 | 0.0244 | 1.3993 | 0.0034 - 0.0366 | 0.0015 - 0.055 | -0.0266 - 0.0686 | -0.0463 - 0.0863 | 0.0036 | 0.009 | 6 |
SequentiaBiotech | 0.6944 | 0.8218 | 0.9343 | 0.01 | 2.4447 | 0.7627 | -0.4427 | 0.0579 - 1.2355 | 0.0106 - 2.3466 | -0.6656 - 2.3091 | -1.7085 - 3.0019 | 0.0574 | 0.3039 | 25 |
Thorne | 0.9524 | 0.0143 | 0.0087 | 0.0001 | 0.1384 | 0.0164 | 1.0243 | 0.0055 - 0.0158 | 0.003 - 0.0461 | -0.0176 - 0.0462 | -0.01 - 0.0313 | 0.004 | 0.0093 | 180 |
Thryve | 0.4806 | 0.0578 | 0.0042 | 0.0002 | 4.4852 | 0.3859 | 0.4168 | 0.0022 - 0.0086 | 0.001 - 0.0553 | -0.6946 - 0.8102 | -0.0074 - 0.0183 | 0.0029 | 0.0052 | 596 |
uBiome | 0.1901 | 0.0576 | 0.0045 | 0.0018 | 3.0551 | 0.3004 | 0.5298 | 0.0025 - 0.0097 | 0.002 - 0.1457 | -0.5282 - 0.6433 | -0.0083 - 0.0204 | 0.0041 | 0.0065 | 150 |
Vitract | 0.3358 | 0 | - | - | - | - | 269 |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
PrecisionBiome | 0.0002971327630802989 | 0.014492514543235302 | 0 | 0 |
Thorne (20/80%ile) | 62.7 | 147.78 | 0.0063 | 0.0148 |
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And display level must be raised above public.
This is base on Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome. See that paper for details on foods groups.
Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.
Explanations /Info /Descriptions are influenced by Large Language Models and may not be accurate and include some hallucinations.Please report any to us for correction.
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