| [Clostridium] viride| ATCC 43977| Clostridium aminovalericum DSM 6836| Clostridium aminovalericum strain T2-7| Clostridium viride| Clostridium viride Buckel et al. 1995| DSM 6836| strain T2-7
Pathogenicity: Some Clostridium species are well-known pathogens capable of causing severe diseases in humans and animals. For example, Clostridium botulinum produces botulinum toxin, which causes botulism, a potentially fatal illness characterized by muscle paralysis. Clostridium difficile is a major cause of antibiotic-associated diarrhea and pseudomembranous colitis.
Opportunistic infections: Clostridium species can also act as opportunistic pathogens, causing infections in individuals with weakened immune systems or disruptions to their normal microbial balance. These infections may include wound infections, abscesses, bacteremia, and other serious conditions, particularly in healthcare settings or following medical procedures.
Toxin production: Many Clostridium species produce potent toxins that contribute to their pathogenicity. These toxins can damage host tissues, disrupt cellular functions, and cause systemic effects. The types and effects of toxins produced vary among different Clostridium species.
Environmental reservoirs: Clostridium species are commonly found in the environment, particularly in soil, water, and the gastrointestinal tracts of animals. Spores produced by Clostridium bacteria can persist in the environment for extended periods and may serve as sources of infection under favorable conditions.
Preventive measures: Prevention of Clostridium infections typically involves proper hygiene practices, sanitation, and food safety measures. In healthcare settings, infection control protocols, antimicrobial stewardship, and appropriate use of disinfectants are important for preventing the spread of Clostridium infections.
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 | 0.53 | 30 | 125950 | 0 | 82893 | 12356.7 | 710 | 35988 | 30 | 125950 | 7.1 %ile | 85.7 %ile | ||
thryve | 89.62 | 0 | 931 | 53 | 1311 | 0 | 6529 | 1090.7 | 273 | 2774.8 | 0 | 1337 | 11.6 %ile | 90.7 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSightRdp | 28.125 % | 0.069 % | 0.105 % | 9.0 | 32 |
custom | 3.39 % | 0.013 % | 0 % | 2.0 | 59 |
Thryve | 87.997 % | 0.103 % | 0.262 % | 1217.0 | 1383 |
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.
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