Microascales Details: NCBI 5592, gram-negative or unknown [order]

1. Opportunistic Infections: Exophiala species can cause opportunistic infections, especially in immunocompromised individuals. These infections can manifest in various forms, including bloodstream infections (fungemia), pulmonary infections, sinusitis, otitis externa (outer ear infection), skin and soft tissue infections, and invasive infections in other organs.

2. Pulmonary Infections: Exophiala species have been implicated in pulmonary infections, including pneumonia, particularly in immunocompromised individuals or those with underlying lung diseases such as cystic fibrosis or bronchiectasis.

3. Sinusitis and Otitis Externa: Exophiala species have been associated with sinusitis (inflammation of the sinuses) and otitis externa (inflammation of the outer ear canal), particularly in individuals with chronic respiratory conditions or those who have undergone sinus or ear surgeries.

4. Skin and Soft Tissue Infections: Exophiala species can cause skin and soft tissue infections, including cutaneous and subcutaneous infections, abscesses, and mycetomas (fungal masses in tissues), especially in individuals with compromised skin barriers or those with chronic wounds.

5. Eye Infections: Exophiala species have been implicated in eye infections, including keratitis (inflammation of the cornea) and endophthalmitis (inflammation of the interior of the eye), particularly in individuals who wear contact lenses or have undergone eye surgeries.

6. Systemic Infections: In severe cases, Exophiala species can cause systemic infections involving multiple organs, particularly in severely immunocompromised individuals or those with underlying medical conditions such as cancer, HIV/AIDS, or organ transplantation.

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 Microascales

• 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	10			10	10		10	10	0 %ile	99 %ile

External Reference Ranges for Microascales

Microascales (NCBI 5592) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age

Statistic by Lab Source for Microascales

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
BiomeSightRdp	3.226 %	0.001 %	%	1.0	31
Thorne	0.346 %	0.031 %	%	1.0	289

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