| ATCC 29983| CCUG 16482| CIP 101129| DSM 1708| ICPB 4095| IFO 15688| JCM 2829| LMG 5275| LMG:5275| Methylobacterium mesophilicum| Methylobacterium mesophilicum (Austin and Goodfellow 1979) Green and Bousfield 1983| NBRC 15688| NCIB 11561| NCIB:11561| NCIMB 11561| NRRL B-14246| Pseudomonas mesophilica| Pseudomonas mesophilica Austin and Goodfellow 1979 (Approved Lists 1980)| strain A47
Oral Health: Some Dialister species have been implicated in periodontal disease, an inflammatory condition affecting the tissues surrounding the teeth. They are often found in dental plaque and periodontal pockets.
Gastrointestinal Health: Dialister species have been identified as part of the gut microbiota. While their precise role in gut health is not fully understood, alterations in the gut microbiota composition, including changes in Dialister abundance, have been associated with conditions such as inflammatory bowel diseases (IBD) and irritable bowel syndrome (IBS).
Urogenital Health: Dialister species have been found in the urogenital tract, including the vaginal microbiota in women. Imbalances in the vaginal microbiota can contribute to conditions such as bacterial vaginosis (BV) and urinary tract infections (UTIs).
Systemic Diseases: Some studies have suggested associations between Dialister species and systemic diseases such as cardiovascular disease, diabetes, and rheumatoid arthritis. However, the nature of these associations and the specific role of Dialister pneumosintes in these conditions require further investigation.
Antibiotic Resistance: Like many bacteria, Dialister species can develop resistance to antibiotics, which can complicate the treatment of infections caused by these bacteria.
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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 | 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 | 1 | 2 | 0 | 3 | 1.5 | 2 | 0.7 | 1 | 2 | 25 %ile | 50 %ile | ||
biomesight | 0.63 | 10 | 150 | 0 | 107 | 32.7 | 20 | 37.9 | 10 | 150 | 5.9 %ile | 88.2 %ile | ||
thorne | 13.79 | 1 | 12 | 0 | 15 | 4.5 | 2 | 5.2 | 1 | 12 | 16.7 %ile | 66.7 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
PrecisionBiome | 1.4514431313727982E-05 | 2.758980917860754E-05 | 0 | 0 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 0.602 % | 0.003 % | 0.003 % | 28.0 | 4654 |
CerbaLab | 66.667 % | 0 % | 0 % | 2.0 | 3 |
Thorne | 24.399 % | 0.005 % | 0.013 % | 71.0 | 291 |
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And display level must be raised above public.