For the possible significance see Oral bacteria relative abundance in faeces increases due to gut microbiota depletion and is linked with patient outcomes, 2024
| Anaerococcus lactolyticus| Anaerococcus lactolyticus (Li et al. 1992) Ezaki et al. 2001| ATCC 51172| CCUG 31351| CIP 103725| DSM 7456| GIFU 8586| GIFU:8586| JCM 8140| Peptostreptococcus lactolyticus| Peptostreptococcus lactolyticus Li et al. 1992
Infections: Anaerococcus lactolyticus has been reported as an opportunistic pathogen in humans, particularly in individuals with compromised immune systems or underlying medical conditions. It can cause infections such as skin and soft tissue infections, abscesses, wound infections, and infections of the genitourinary tract. Anaerococcus lactolyticus is often found as part of polymicrobial infections, where multiple bacterial species are involved.
Bacteremia: In severe cases, infections caused by Anaerococcus lactolyticus can lead to bacteremia, a condition characterized by the presence of bacteria in the bloodstream. Bacteremia can result from the spread of infection from a localized site to the bloodstream or from invasive medical procedures. If not promptly treated with appropriate antibiotics, bacteremia can lead to sepsis, a life-threatening systemic inflammatory response.
Endocarditis: Anaerococcus lactolyticus has been implicated as a causative agent of infective endocarditis, an infection of the inner lining of the heart chambers and valves. Endocarditis typically occurs when bacteria enter the bloodstream and adhere to damaged areas of the heart, forming vegetations. These vegetations can impair heart function and lead to complications such as embolism (the spread of infected material to other parts of the body) and heart valve damage.
Antimicrobial resistance: Some strains of Anaerococcus lactolyticus may exhibit resistance to certain antibiotics, which can complicate treatment of infections caused by these bacteria. Resistance mechanisms may involve the production of enzymes that inactivate antibiotics, alterations in bacterial cell structure to prevent antibiotic entry, or efflux pumps that expel antibiotics from the bacterial cell.
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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 | 100 | 390 | 0 | 647 | 245 | 245 | 205.1 | 100 | 390 | 25 %ile | 50 %ile | ||
| biomesight | 8.89 | 0 | 0 | 10 | 1850 | 0 | 542 | 99.8 | 30 | 225.4 | 10 | 110 | 0 %ile | 100 %ile |
| thryve | 11.64 | 0 | 8 | 4318 | 0 | 1574 | 268.3 | 58 | 666.1 | 0 | 192 | 0 %ile | 100 %ile | |
| ubiome | 9.25 | 0 | 0 | 21 | 11426 | 0 | 4604 | 849.7 | 108 | 1915.3 | 0 | 1398 | 0 %ile | 100 %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 |
|---|---|---|---|---|---|
| BiomeSight | 6.923 % | 0.009 % | 0.02 % | 337.0 | 4868 |
| BiomeSightRdp | 3.226 % | 0.039 % | % | 1.0 | 31 |
| CosmosId | 3.125 % | 0.01 % | % | 1.0 | 32 |
| Thryve | 10.825 % | 0.023 % | 0.062 % | 168.0 | 1552 |
| uBiome | 9.17 % | 0.084 % | 0.19 % | 74.0 | 807 |
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