Paracholeplasma Details: NCBI 2903107, gram-negative or unknown [genus]

1. Environmental Bacteria:

   • Bacteria in the genus Paracholeplasma are primarily associated with soil environments. They are part of the microbial diversity in terrestrial ecosystems.

2. Limited Research on Health Impacts:

   • The available scientific literature may have limited information on the health impacts of Paracholeplasma, as the focus of research on this genus may be more oriented toward its ecological role in soil or its genomic characteristics.

3. Microbial Diversity:

   • The microbial diversity of soil bacteria is vast, and many soil bacteria have not been extensively studied in terms of their interactions with humans or potential health impacts.

4. Potential Metabolic Functions:

   • Specific metabolic functions or roles of Paracholeplasma in the environment, such as its potential involvement in nutrient cycling, decomposition, or other ecological processes, may be areas of interest for researchers.

5. Limited Pathogenicity:

   • Soil bacteria like Paracholeplasma are generally not known to be pathogenic to humans. They have adapted to soil environments and may have functions related to organic matter decomposition or other soil processes.

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 Paracholeplasma

• 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	0.26			1	50	0	56	16.7	8	19.9	1	50	12.5 %ile	75 %ile
thorne	27.59			1	8	0	9	3.9	4	2.6	1	8	10 %ile	80 %ile
thryve	50.9	0	27	11	2699	0	3581	348	36	1649.4	6	152	6.6 %ile	97.2 %ile

External Reference Ranges for Paracholeplasma

Paracholeplasma (NCBI 2903107) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age
PrecisionBiome	2.1533636754611507E-05	5.454414349514991E-05	0	0

Statistic by Lab Source for Paracholeplasma

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
BiomeSightRdp	3.226 %	0.002 %	%	1.0	31
CerbaLab	66.667 %	0.001 %	0 %	2.0	3
custom	1.316 %	0 %	%	1.0	76
es-xenogene	6.25 %	0.003 %	0.003 %	2.0	32
Thorne	6.529 %	0 %	0 %	19.0	291
Thryve	50.551 %	0.029 %	0.143 %	780.0	1543
vitract	50 %	0.003 %	%	1.0	2

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Data Contradictions — Limits of Certainity

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