Lawsonia Details: NCBI 41707, gram-negative or unknown [genus]
| Lawsonia| Lawsonia McOrist et al. 1995
Animal Pathogen:
- Lawsonia intracellularis is primarily considered a veterinary pathogen. It causes a disease known as proliferative enteropathy in animals, particularly in swine (pigs) and horses.
Proliferative Enteropathy:
- In affected animals, Lawsonia intracellularis is associated with proliferative enteropathy, which is characterized by thickening of the intestinal mucosa and can lead to clinical signs such as diarrhea, weight loss, and reduced growth.
Transmission in Animals:
- Transmission of Lawsonia intracellularis among animals typically occurs through the fecal-oral route. Contaminated water, feed, or fomites can contribute to the spread of the bacterium within animal populations.
Zoonotic Potential:
- Lawsonia intracellularis is generally not considered a zoonotic pathogen, meaning it is not known to cause disease in humans. The primary concern is related to its impact on animal health and the agricultural industry.
Impacts on Animal Production:
- In agricultural settings, Lawsonia intracellularis infections in swine can have economic implications due to reduced growth rates and increased mortality rates in affected animals. Control measures may include vaccination and management practices.
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Other Sources for more information:
- Immune Epitope Database
- The NCBI taxonomy database
- UniProt
- Immune Epitope Taxonomy Database (IEDB)
- AI Engines For more Details: Perplexity Kagi Labs You
 Statistics
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NCBI | Data Punk | End Products Produced |
Lab Reporting
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.
Desired Levels Suggestions for Lawsonia
- Frequency - how often do samples show this bacteria
- UD - An alternative statistical algorithm (which factors in the frequency)
- Kaltoft-Moldrup Heuristic Using uploaded data
- Lab Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
| 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 | 0.31 | 2 | 643 | 0 | 597 | 140.7 | 20 | 232.9 | 2 | 643 | 11.1 %ile | 77.8 %ile | ||
| biomesight | 0.5 | 10 | 40 | 3 | 38 | 20.8 | 20 | 9 | 10 | 40 | 7.1 %ile | 85.7 %ile | ||
| thorne | 58.62 | 1 | 8 | 0 | 8 | 3.6 | 2 | 2.4 | 1 | 8 | 0 %ile | 100 %ile | ||
| thryve | 51.9 | 0 | 44 | 22 | 150 | 0 | 3857 | 181.6 | 58 | 1875 | 0 | 162 | 11.2 %ile | 90 %ile |
External Reference Ranges for Lawsonia
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Metagenomics | 0 | 5000 | 0 | 0.5 |
Statistic by Lab Source for Lawsonia
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 0.742 % | 0.002 % | 0.001 % | 22.0 | 2965 |
| BiomeSightRdp | 3.226 % | 0.002 % | % | 1.0 | 31 |
| CerbaLab | 100 % | 0.028 % | 0.033 % | 3.0 | 3 |
| es-xenogene | 10.345 % | 0.004 % | 0.005 % | 3.0 | 29 |
| Thorne | 36.538 % | 0 % | 0 % | 38.0 | 104 |
| Thryve | 46.552 % | 0.018 % | 0.177 % | 648.0 | 1392 |
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