| ATCC 49002| Clostridium proteolyticum| Clostridium proteolyticum Jain and Zeikus 1988| DSM 3090| Hathewaya proteolytica| Hathewaya proteolytica (Jain and Zeikus 1988) Lawson and Rainey 2016| strain CG
Proteolytic activity: Hathewaya proteolytica, like other members of the genus, is capable of proteolysis, which is the breakdown of proteins into smaller peptides or amino acids. Proteolysis plays an essential role in nutrient acquisition and metabolism. However, excessive proteolysis can lead to the production of potentially harmful byproducts such as ammonia and biogenic amines, which may have implications for gut health and overall well-being.
Gut microbiota: Hathewaya species are anaerobic bacteria commonly found in the gastrointestinal tract of humans and other animals. While their specific roles in the gut microbiota are not well understood, they likely contribute to microbial community dynamics, nutrient metabolism, and host-microbe interactions in the gut. Dysbiosis, or imbalance in the gut microbiota, has been associated with various health conditions, including inflammatory bowel diseases, metabolic disorders, and immune dysfunction.
Fermentation: Like many other anaerobic bacteria, Hathewaya species are capable of fermenting carbohydrates to produce energy and metabolic byproducts such as short-chain fatty acids (SCFAs). SCFAs, particularly butyrate, acetate, and propionate, play important roles in maintaining gut barrier function, modulating immune responses, and regulating inflammatory processes. Therefore, Hathewaya proteolytica may indirectly influence host health through its metabolic activities and interactions with other gut microbes.
Potential pathogenicity: While Hathewaya species are generally considered commensal bacteria, some strains may have the potential to cause opportunistic infections under certain conditions. However, specific research on the pathogenicity of Hathewaya proteolytica is lacking, and its role in human disease remains poorly understood.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
 Statistics
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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 | 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 | 0.09 | 20 | 40 | 2 | 58 | 30 | 30 | 14.1 | 20 | 40 | 25 %ile | 50 %ile | ||
| biomesight | 4.32 | 0 | 0 | 10 | 60 | 0 | 40 | 19.2 | 20 | 10.5 | 0 | 20 | 0 %ile | 100 %ile |
| thryve | 57.49 | 0 | 41 | 16 | 589 | 0 | 212 | 69.9 | 45 | 72.4 | 7 | 121 | 7.5 %ile | 100 %ile |
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 5.394 % | 0.002 % | 0.001 % | 251.0 | 4653 |
| BiomeSightRdp | 3.226 % | 0.002 % | % | 1.0 | 31 |
| custom | 2.632 % | 0.004 % | 0 % | 2.0 | 76 |
| Thryve | 61.957 % | 0.008 % | 0.008 % | 956.0 | 1543 |
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And display level must be raised above public.
