| Acidaminococcus| Acidaminococcus Rogosa 1969 (Approved Lists 1980) emend. Cook et al. 1994| Acidaminococcus Rogosa 1969 emend. Jumas-Bilak et al. 2007
Infections: Acidaminococcus species have been implicated in various types of infections, particularly in individuals with compromised immune systems or underlying health conditions. These infections may include abscesses, wound infections, bacteremia (bloodstream infections), and infections in association with prosthetic devices or implants. However, Acidaminococcus is not commonly considered a primary pathogen in human disease.
Dental and oral health: Acidaminococcus species are part of the oral microbiota and are commonly found in dental plaque and saliva. While they are generally considered commensal bacteria, dysbiosis in the oral microbiota, along with other factors such as poor oral hygiene or immune compromise, may potentially contribute to oral health problems such as dental caries (cavities) or periodontal disease.
Metabolic disorders: Some studies have suggested associations between alterations in the gut microbiota, including changes in the abundance of Acidaminococcus and other bacteria, and certain metabolic disorders such as obesity, diabetes, and metabolic syndrome. However, the specific role of Acidaminococcus in these conditions is not well-understood and requires further research.
Digestive health: Acidaminococcus species are present in the human gastrointestinal tract and are involved in the fermentation of dietary carbohydrates and amino acids. While they play roles in gut metabolism and may contribute to the production of short-chain fatty acids and other metabolites beneficial for digestive health, their specific impacts on gastrointestinal health or disease are not extensively studied.
The above data is from 1000 Healthy Individuals done using Shotgun(10 Millions reads) provide courtesy of Precision Biome.
A lot more information is available when you are logged in and raise the display level
Other Sources for more information:
![]() |
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 | Average | Median | Minimum | Maximum | Std.Dev. | Skew | 25 - 75 Percentile | 5 - 95 Percentile | Lab Ranges | Box-Plot-Whiskers | Harmonic Mean | Geometric Mean | Obs. |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BiomeSight | 0.7425 | 0.1527 | 0.02 | 0.001 | 18.033 | 0.7068 | 0.5634 | 0.006 - 0.047 | 0.002 - 0.607 | -1.2255 - 1.531 | -0.0555 - 0.1085 | 0.0066 | 0.0198 | 2751 |
BiomeSightRdp | 0.4815 | 0.1642 | 0.006 | 0.001 | 1.324 | 0.3664 | 1.295 | 0.004 - 0.126 | 0.0016 - 0.7186 | -0.5503 - 0.8786 | -0.179 - 0.309 | 0.0046 | 0.0173 | 13 |
custom | 0.1489 | 0.2118 | 0.008 | 0.001 | 1.45 | 0.546 | 1.1199 | 0.0039 - 0.008 | 0.0012 - 1.0174 | -0.8529 - 1.2765 | -0.0024 - 0.0142 | 0.0032 | 0.0096 | 7 |
es-xenogene | 0.8182 | 0.0533 | 0.0105 | 0.002 | 0.479 | 0.1166 | 1.1018 | 0.008 - 0.0185 | 0.0037 - 0.2282 | -0.174 - 0.2807 | -0.0077 - 0.0343 | 0.0083 | 0.0153 | 18 |
Thorne | 0.9312 | 0.0936 | 0.0017 | 0.0001 | 4.16 | 0.4059 | 0.6794 | 0.0011 - 0.0034 | 0.0004 - 0.5872 | -0.6978 - 0.8851 | -0.0024 - 0.0069 | 0.0012 | 0.003 | 176 |
Thryve | 0.5089 | 0.3552 | 0.0038 | 0.0001 | 16.6541 | 1.5876 | 0.664 | 0.0021 - 0.0097 | 0.0011 - 1.5945 | -2.7406 - 3.4509 | -0.0093 - 0.0211 | 0.0026 | 0.0083 | 631 |
uBiome | 0.1217 | 1.4432 | 0.3936 | 0.0018 | 10.901 | 2.3144 | 1.3606 | 0.0735 - 1.5779 | 0.0056 - 6.8247 | -3.0699 - 5.9563 | -2.1832 - 3.8345 | 0.0287 | 0.2876 | 96 |
Vitract | 0.2684 | 0 | - | - | - | - | 215 |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
PrecisionBiome | 3.113585262326524E-05 | 0.01541854627430439 | 0 | 0 |
Thorne (20/80%ile) | 30.87 | 84.62 | 0.0031 | 0.0085 |
|
And display level must be raised above public.
This is base on Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome. See that paper for details on foods groups.
Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.
Explanations /Info /Descriptions are influenced by Large Language Models and may not be accurate and include some hallucinations.Please report any to us for correction.
Copyright 2016 - 2025 Lassesen Consulting, LLC[2007], DBA, Microbiome Prescription All rights served. Permission to data scrap or reverse engineer is explicitly denied to all users.U.S.Code Title 18 PART I CHAPTER 47 Β§β―1030, CETS No.185, CFAA Use of data on this site is prohibited except under written license.There is no charge for individual personal use.Use for any commercial applications or research requires a written license. Caveat emptor: Analysis and suggestions are based on modelling(and thus infererence ) based on studies.The data sources are usually given for those that wish to consider alternative inferences.theories and models. Inventions /Methodologies on this site are Patent Pending.
Microbiome Prescription do not make any representations that data or analyses available on this site is suitable for human diagnostic purposes, for informing treatment decisions,
or for any other purposes and accept no responsibility or liability whatsoever for such use.
This site is not in strict compliance with Personal Health Information Laws. [216.73.216 ]