Peptoniphilus lacrimalis Details: NCBI 33031, gram-negative or unknown [species]

| "Schleiferella lacrimalis" Rajendram et al. 2001| ATCC 51171| CCUG 31350| CIP 103724| DSM 7455| GIFU 7667| GIFU:7667| JCM 8139| NCTC 13149| Peptoniphilus lacrimalis| Peptoniphilus lacrimalis (Li et al. 1992) Ezaki et al. 2001| Peptostreptococcus lacrimalis| Peptostreptococcus lacrimalis Li et al. 1992| Schleiferella lacrimalis

1. Infections: Peptoniphilus lacrimalis has been reported as an opportunistic pathogen in humans, particularly in individuals with compromised immune systems or underlying medical conditions. It can cause infections such as skin and soft tissue infections, abscesses, wound infections, and infections of the genitourinary tract. Peptoniphilus lacrimalis is often found as part of polymicrobial infections, where multiple bacterial species are involved.

2. Bacteremia: In severe cases, infections caused by Peptoniphilus lacrimalis can lead to bacteremia, a condition characterized by the presence of bacteria in the bloodstream. Bacteremia can result from the spread of infection from a localized site to the bloodstream or from invasive medical procedures. If not promptly treated with appropriate antibiotics, bacteremia can lead to sepsis, a life-threatening systemic inflammatory response.

3. Endocarditis: Peptoniphilus lacrimalis has been implicated as a causative agent of infective endocarditis, an infection of the inner lining of the heart chambers and valves. Endocarditis typically occurs when bacteria enter the bloodstream and adhere to damaged areas of the heart, forming vegetations. These vegetations can impair heart function and lead to complications such as embolism (the spread of infected material to other parts of the body) and heart valve damage.

4. Antimicrobial resistance: Some strains of Peptoniphilus lacrimalis may exhibit resistance to certain antibiotics, which can complicate treatment of infections caused by these bacteria. Resistance mechanisms may involve the production of enzymes that inactivate antibiotics, alterations in bacterial cell structure to prevent antibiotic entry, or efflux pumps that expel antibiotics from the bacterial cell.

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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 Peptoniphilus lacrimalis

• 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	0.09			10	20	1	29	15	15	7.1	10	20	25 %ile	50 %ile
biomesight	16.55	0	10	10	220	0	1488	226.6	40	643.8	0	200	0 %ile	92 %ile
thorne	10.34			1	4	0	5	2	1	1.7	1	4	20 %ile	60 %ile
thryve	25.45	0	15	3	221	0	3750	421.3	38	1698.1	5	207	0 %ile	92 %ile
ubiome	20.79	0	25	18	35666	0	10468	1514.9	147	4568.1	0	1177	0 %ile	100 %ile

External Reference Ranges for Peptoniphilus lacrimalis

Peptoniphilus lacrimalis (NCBI 33031) per million

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

Statistic by Lab Source for Peptoniphilus lacrimalis

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
BiomeSight	17.184 %	0.023 %	0.061 %	509.0	2962
CosmosId	6.25 %	0.002 %	0.001 %	2.0	32
Thorne	4.95 %	0 %	0 %	5.0	101
Thryve	23.614 %	0.055 %	0.201 %	328.0	1389
uBiome	20.707 %	0.151 %	0.457 %	164.0	792

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Data Contradictions — Limits of Certainity

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General Substance	Specific Substance	Effect
Antibiotics, Antivirals etc	metronidazole (antibiotic)s[CFS]	1 Studies recorded. The consensus is Increases📓, Click for details.
Diet Style	ketogenic diet	1 Studies recorded. The consensus is Increases📓, Click for details.
Diet Style	mediterranean diet	1 Studies recorded. The consensus is Increases📓, Click for details.
flavonoids, polyphenols etc	resveratrol (grape seed/polyphenols/red wine)	1 Studies recorded. The consensus is Decreases📓, Click for details.
Food (excluding seasonings)	ku ding cha tea	1 Studies recorded. The consensus is Decreases📓, Click for details.
Food (excluding seasonings)	navy bean	1 Studies recorded. The consensus is Increases📓, Click for details.
Food (excluding seasonings)	pea (fiber, protein)	1 Studies recorded. The consensus is Increases📓, Click for details.
Not Classified	Mold and Home Dampness	1 Studies recorded. The consensus is Increases👶, Click for details.
Prebiotics and similar	mastic gum (prebiotic)	1 Studies recorded. The consensus is Decreases📓, Click for details.
Prescription - Other	polymannuronic acid	1 Studies recorded. The consensus is Increases📓, Click for details.
Probiotics	lactobacillus gasseri (probiotics)	1 Studies recorded. The consensus is Increases📓, Click for details.
Probiotics	lactobacillus reuteri (probiotics)	1 Studies recorded. The consensus is Increases📓, Click for details.
Sugar and similar	sugar	1 Studies recorded. The consensus is Decreases📓, Click for details.

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