Tissierella praeacuta Details: NCBI 43131, gram-negative or unknown [species]

| "Coccobacillus praeacutus" Tissier 1908| "Fusobacterium praeacutum" (Tissier 1908) Hoffman 1957| "Zuberella praeacuta" (Tissier 1908) Prevot 1938| ATCC 25539| ATCC 33268 [[Clostridium hastiforme MacLennan 1939 (Approved Lists)]]| Bacteroides praeacutus| Bacteroides praeacutus (Tissier 1908) Holdeman and Moore 1970 (Approved Lists 1980)| CCUG 27825| Clostridium hastiforme| Clostridium hastiforme MacLennan 1939 (Approved Lists)| Coccobacillus praeacutus| DSM 18095| DSM 5675 [[Clostridium hastiforme MacLennan 1939 (Approved Lists)]]| Fusobacterium praeacutum| LMG 8203| LMG:8203| NCIMB 703038| NCTC 11158| Tissierella praeacuta| Tissierella praeacuta (Tissier 1908) Collins and Shah 1986 emend. Alauzet et al. 2014| VPI 12193 [[Clostridium hastiforme MacLennan 1939 (Approved Lists)]]| Zuberella praeacuta

1. Allergies: Algae from the Mamiellaceae family may release spores or other airborne particles that could trigger allergic reactions in sensitive individuals. These reactions could manifest as respiratory issues such as asthma or allergic rhinitis.

2. Toxins: Some species of algae, including those in the Mamiellaceae family, are capable of producing toxins under certain conditions. These toxins can contaminate water sources and lead to harmful algal blooms. Ingestion or exposure to these toxins through contaminated water or seafood can cause various health problems, including gastrointestinal issues, neurological symptoms, or even liver damage in severe cases.

3. Water Quality: Large-scale blooms of algae from the Mamiellaceae family can degrade water quality by depleting oxygen levels and releasing organic matter as they die off. This degradation can harm aquatic ecosystems and impact human activities such as fishing, recreation, and water supply.

4. Environmental Impact: Algal blooms, including those caused by Mamiellaceae species, can have broader environmental impacts beyond human health. They can disrupt the balance of aquatic ecosystems, harm fish and other aquatic organisms, and negatively affect water quality, which can have cascading effects throughout the ecosystem.

Visuals of Interactions with other bacteria of the same rank

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Other Sources for more information:

• Immune Epitope Database
• The NCBI taxonomy database
• UniProt
• Immune Epitope Taxonomy Database (IEDB)
• AI Engines For more Details: Perplexity  Kagi Labs  You 

More Information

Statistics

NCBI

Data Punk

End Products Produced

Lab Reporting

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.

Desired Levels Suggestions for Tissierella praeacuta

• Frequency - how often do samples show this bacteria
• UD - An alternative statistical algorithm (which factors in the frequency)
• Kaltoft-Moldrup Heuristic Using uploaded data
• Lab Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation

These are values that are computed from lab specific samples (Patent Pending)

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	0.04			0	100			100	100		100	100	0 %ile	99 %ile
thryve	0.45			14	50	0	56	27.6	22	14.6	14	50	14.3 %ile	71.4 %ile

External Reference Ranges for Tissierella praeacuta

Tissierella praeacuta (NCBI 43131) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age
XenoGene	0	1000	0	0.1

Statistic by Lab Source for Tissierella praeacuta

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
es-xenogene	9.375 %	0.007 %	0.003 %	3.0	32
Thryve	0.583 %	0.003 %	0.002 %	9.0	1543

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