Details about Corynebacterium: NCBI 1716, high G+C gram-positive

  1. Diphtheria: Corynebacterium diphtheriae is the species responsible for causing diphtheria, a potentially serious respiratory disease. Diphtheria is characterized by the formation of a thick grayish coating in the throat and can lead to difficulty breathing and other complications. Diphtheria is a vaccine-preventable disease, and vaccination programs have been successful in reducing its incidence.

  2. Skin Infections: Some Corynebacterium species, such as Corynebacterium minutissimum, can be associated with skin infections. Erythrasma is one such skin infection caused by this bacterium, characterized by red-brown patches on the skin.

  3. Coryneform Infections: The term "coryneform" is used to describe a group of bacteria, including some Corynebacterium species, that can cause opportunistic infections in humans. These infections may occur in individuals with weakened immune systems, underlying health conditions, or indwelling medical devices.

  4. Normal Microbiota: Many Corynebacterium species are part of the normal microbial flora on human skin and mucous membranes. They contribute to the balance of the microbiota and may have beneficial roles in preventing the colonization of pathogenic bacteria.

  5. Vaccination: The development and widespread use of the diphtheria vaccine have significantly reduced the incidence of diphtheria, highlighting the importance of vaccination in preventing certain Corynebacterium-associated diseases.

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More Information
  Statistics   5190 Interactions with Other Bacteria   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 Corynebacterium

Using Kaltoft-Moldrup Heuristic Using uploaded data for Corynebacterium

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)
LabKM LowKM Percentile LowKM HighKM Percentile HighLab LowLab HighMeanStandard Deviation
All 0.001 5.2 %ile 2.601 97.6 %ile 0 3.045 0.263 1.419
BiomeSight 0.001 0 %ile 0.491 96.1 %ile 0 1.986 0.139 0.942
Ombre/Thryve 0.001 5.8 %ile 0.558 95.8 %ile 0 1.951 0.147 0.921
uBiome 0.002 0 %ile 21.243 100 %ile 0 4.713 0.625 2.086
Lab Suggestions for Corynebacterium
Corynebacterium (NCBI 1716) per million
Low Boundary High Boundary Low Boundary %age High Boundary %age Lab Samples
0 1000 0 0.1 XenoGene
Statistic by Lab Source for Corynebacterium
These desired values are reported from the lab reports
Lab Frequency Seen Average Standard Deviation Sample Count Lab Samples
bugspeak 100 %   0.016 %  % 1.0 1
CosmosId 34.211 %   0.005 %  0.008 % 13.0 38
AmericanGut 38.889 %   0.322 %  0.368 % 7.0 18
BiomeSightRdp 57.778 %   0.01 %  0.024 % 26.0 45
es-xenogene 97.143 %   0.035 %  0.035 % 34.0 35
SequentiaBiotech 22.222 %   0.187 %  0.19 % 8.0 36
Thorne 100 %   2.794 %  7.226 % 55.0 55
Tiny 100 %   0.004 %  % 1.0 1
uBiome 55.864 %   0.623 %  2.084 % 443.0 793
BiomeSight 49.023 %   0.151 %  0.918 % 1305.0 2662
custom 32.836 %   1.332 %  2.011 % 22.0 67
Medivere 14.286 %   0.001 %  % 1.0 7
CerbaLab 66.667 %   0.01 %  0.006 % 2.0 3
Thryve 57.034 %   0.137 %  0.81 % 896.0 1571

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Data Contradictions — Limits of Certainity

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General Substance Specific Substance Effect
Antibiotics, Antivirals etc azithromycin,(antibiotic)s[CFS] 1 Studies recorded. The consensus is Decreases👶, Click for details.
Antibiotics, Antivirals etc clarithromycin (antibiotic)s[CFS] 1 Studies recorded. The consensus is Decreases👶, Click for details.
Antibiotics, Antivirals etc metronidazole (antibiotic)s[CFS] 2 Studies recorded. The consensus is Decreases👶👪, Click for details.
Diet Style high-fat diets 1 Studies recorded. The consensus is Decreases👶, Click for details.
Food (excluding seasonings) alcoholic beverages 1 Studies recorded. The consensus is Increases👶, Click for details.
Food (excluding seasonings) blueberry 1 Studies recorded. The consensus is Increases👶, Click for details.
Food (excluding seasonings) whey 1 Studies recorded. The consensus is Decreases👶, Click for details.
Herb or Spice aloe vera 2 Studies recorded. The consensus is Decreases👶👪, Click for details.
Herb or Spice ginger 1 Studies recorded. The consensus is Increases👶, Click for details.
Miscellaneous, food additives, and other odd items glyphosate 1 Studies recorded. The consensus is Decreases👶, Click for details.
Prebiotics and similar Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 2 Studies recorded. The consensus is Decreases👶👪, Click for details.
Prescription - Other metformin (prescription) 1 Studies recorded. The consensus is Increases👶, Click for details.
Prescription - Other proton-pump inhibitors (prescription) 2 Studies recorded. The consensus is Increases👶👪, Click for details.
Probiotics lactobacillus fermentum (probiotics) 1 Studies recorded. The consensus is Increases👶, Click for details.
Probiotics lactobacillus plantarum (probiotics) 1 Studies recorded. The consensus is Increases👶, Click for details.
Sugar and similar non-starch polysaccharides 1 Studies recorded. The consensus is Increases👶, Click for details.
Sugar and similar saccharin 2 Studies recorded. The consensus is Decreases👶👪, Click for details.

All suggestions are computed solely on their predicted microbiome impact. Safety, side-effects etc must be evaluated by your medical professionals before starting. Some items suggests have significant risk of adverse consequences for some people.

Special thanks to David F Morrison and Geert Van Houcke for doing Quality Assurance. Special thanks to Oliver Luk, B.Sc. (Biology) from BiomeSight for spot checking the coding of data from the US National Library of Medicine

This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.

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