| DSM 15699| halophilic bacterium HL19| halophilic bacterium HLD8| strain HL 19| Thiohalorhabdus denitrificans| Thiohalorhabdus denitrificans Sorokin et al. 2008| UNIQEM U223
Gut Microbiota: Lachnoanaerobaculum umeaense is part of the complex community of microorganisms that inhabit the human gastrointestinal tract, known as the gut microbiota. The gut microbiota plays a crucial role in various aspects of human health, including digestion, metabolism, and immune system modulation.
Short-Chain Fatty Acid Production: Bacteria in the gut, including members of the Lachnospiraceae family, are involved in the fermentation of dietary fibers, leading to the production of short-chain fatty acids (SCFAs). SCFAs, such as acetate, propionate, and butyrate, have been associated with various health benefits, including anti-inflammatory effects and the maintenance of gut barrier function.
Metabolic Interactions: Lachnoanaerobaculum umeaense, like other members of the gut microbiota, may engage in metabolic interactions with the host and other microorganisms in the gut. These interactions can influence nutrient absorption, energy metabolism, and other physiological processes.
Context-Dependent Impact: The health impact of Lachnoanaerobaculum umeaense is likely context-dependent and can be influenced by factors such as the overall composition of the gut microbiota, diet, lifestyle, and individual host factors. The gut microbiota is highly dynamic and varies between individuals.
Association with Disease: Changes in the abundance or composition of certain bacterial species in the gut microbiota have been associated with various health conditions, including inflammatory bowel diseases, metabolic disorders, and immune-related disorders. However, the specific role of Lachnoanaerobaculum umeaense in health and disease requires further research.
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 |
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Other Labs | 0.09 | 16 | 20 | 12 | 24 | 18 | 18 | 2.8 | 16 | 20 | 25 %ile | 50 %ile | ||
biomesight | 45.43 | 0 | 20 | 20 | 100 | 0 | 323 | 76 | 40 | 125.9 | 0 | 100 | 8 %ile | 91 %ile |
thryve | 13.27 | 0 | 7 | 1 | 99 | 0 | 52 | 22.3 | 20 | 15 | 6 | 32 | 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 |
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BiomeSight | 48.01 % | 0.007 % | 0.013 % | 1375.0 | 2864 |
custom | 3.39 % | 0.002 % | 0 % | 2.0 | 59 |
Medivere | 14.286 % | 0.002 % | % | 1.0 | 7 |
Thryve | 12.943 % | 0.002 % | 0.002 % | 179.0 | 1383 |
Click on Impact for information if high or low levels are causing the impact
Magnitude | Impact | Symptom |
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And display level must be raised above public.
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