| Anaerococcus sp. PH9| Anaerococcus vaginalis| Anaerococcus vaginalis (Li et al. 1992) Ezaki et al. 2001| ATCC 51170| CCUG 31349| CIP 103621| DSM 7457| GIFU 12669| GIFU:12669| JCM 8138| Peptostreptococcus vaginalis| Peptostreptococcus vaginalis Li et al. 1992
Normal Vaginal Microbiota: Anaerococcus vaginalis is considered a part of the normal microbiota in the vagina. The vaginal microbiome is a complex ecosystem that plays a crucial role in maintaining a healthy environment. Changes in the composition of the vaginal microbiota can influence the risk of various health conditions.
Bacterial Vaginosis (BV): Anaerococcus vaginalis has been associated with bacterial vaginosis (BV), a common condition characterized by an imbalance in the vaginal microbiota. In BV, there is a decrease in the number of beneficial Lactobacillus bacteria and an increase in other bacteria, including Anaerococcus vaginalis. BV is often characterized by symptoms such as a fishy odor and an increase in vaginal discharge.
Clinical Significance: While Anaerococcus vaginalis is commonly detected in both healthy individuals and those with BV, its role in the development or progression of BV is still an area of research. Some studies suggest that certain strains of Anaerococcus vaginalis may contribute to the pathogenesis of BV, but more research is needed to understand the specific mechanisms involved.
Association with Infections: In addition to BV, Anaerococcus vaginalis has been found in association with other urogenital infections. Its presence in certain clinical samples may be indicative of infections, but the significance can vary.
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 | 0.26 | 2 | 691 | 0 | 686 | 158.5 | 35 | 269.1 | 2 | 691 | 12.5 %ile | 75 %ile | ||
biomesight | 21.54 | 0 | 10 | 10 | 1700 | 0 | 2241 | 273.2 | 40 | 1004.2 | 0 | 180 | 0 %ile | 96.9 %ile |
thorne | 13.79 | 1 | 11 | 0 | 13 | 4 | 2 | 4.7 | 1 | 11 | 16.7 %ile | 66.7 %ile | ||
thryve | 32.22 | 0 | 25 | 21 | 5405 | 0 | 7577 | 804.7 | 71 | 3455.2 | 0 | 479 | 8 %ile | 97.8 %ile |
ubiome | 35.11 | 0 | 75 | 51 | 1823 | 0 | 17568 | 2103.4 | 222 | 7890.1 | 0 | 1754 | 8 %ile | 92 %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 | 22.226 % | 0.026 % | 0.093 % | 659.0 | 2965 |
BiomeSightRdp | 6.452 % | 0.004 % | 0.002 % | 2.0 | 31 |
CerbaLab | 66.667 % | 0.001 % | 0 % | 2.0 | 3 |
Microba | 7.143 % | 0.018 % | 0 % | 2.0 | 28 |
SequentiaBiotech | 2.778 % | 0.069 % | % | 1.0 | 36 |
Thorne | 8.654 % | 0 % | 0 % | 9.0 | 104 |
Thryve | 31.753 % | 0.075 % | 0.33 % | 442.0 | 1392 |
Tiny | 50 % | 0.007 % | % | 1.0 | 2 |
uBiome | 34.975 % | 0.21 % | 0.789 % | 277.0 | 792 |
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And display level must be raised above public.
Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.
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