Bacteria of Chronic Fatigue Syndrome

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Kaltoft-Moltrup Normal Range BiomeSight:2019-06-09 Mr.Example
Rank Name Low High Direction Count Percentile
family Clostridiaceae    📚 PubMed 1172 81139 High 11499 34.3 %ile
family Porphyromonadaceae    📚 PubMed 3554 143240 Low 36690 74.1 %ile
genus Bacteroides    📚 PubMed 77260 503255 High Or Low 232390 45.3 %ile
genus Bifidobacterium    📚 PubMed 31 356470 Low 32670 84.2 %ile
genus Clostridium    📚 PubMed 964 39529 High 9050 65.1 %ile
genus Coprobacillus    📚 PubMed 7 13166 💥 High 3150 88.6 %ile
genus Coprococcus    📚 PubMed 1750 55090 Low 54029 95.5 %ile
genus Dorea    📚 PubMed 1190 38340 Low 6700 47.2 %ile
genus Eggerthella    📚 PubMed 13 7731 💥 High 3550 93.5 %ile
genus Enterococcus    📚 PubMed 4 4625 High Or Low 340 74.8 %ile
genus Faecalibacterium    📚 PubMed 22380 269291 Low 147300 66.2 %ile
genus Haemophilus    📚 PubMed 11 14820 Low 130 33.7 %ile
genus Lactobacillus    📚 PubMed 10 4514 Low 1790 71.9 %ile
genus Porphyromonas    📚 PubMed 10 5527 Low 290 63.1 %ile
genus Streptococcus    📚 PubMed 81 22169 💥 High 6700 81.4 %ile
genus Turicibacter    📚 PubMed 8 13709 High 60 23.4 %ile
genus Veillonella    📚 PubMed 12 14400 Low 200 39.8 %ile
order Pseudomonadales    📚 PubMed 0 1084 High 90 65.1 %ile
species Bacteroides vulgatus    📚 PubMed 3249 393002 💥 Low 20 0.4 %ile
species Blautia obeum    📚 PubMed 85 28960 💥 Low 40 2.4 %ile
species Coprococcus catus    📚 PubMed 42 7289 Low 4640 94.3 %ile
species Dorea formicigenerans    📚 PubMed 511 6186 Low 1790 50.9 %ile
species Eggerthella lenta    📚 PubMed 10 7646 💥 High 1920 85.9 %ile
species Faecalibacterium prausnitzii    📚 PubMed 9763 274660 Low 32550 29.2 %ile
species Haemophilus parainfluenzae    📚 PubMed 13 10241 Low 110 30.4 %ile
species Parabacteroides distasonis    📚 PubMed 800 47191 Low 16359 76.5 %ile
species Parabacteroides merdae    📚 PubMed 13 93391 Low 8950 65.9 %ile
species Ruminococcus gnavus    📚 PubMed 10 32480 💥 High 8430 85.8 %ile

Kaltoft-Moltrup Normal Ranges, is a licensed properitary statistical algorithm that works off the shape of the data. It is not microbiome specific but appears to work very well for the microbiome. Ranges are NOT lab specific, but for aggregation across labs. Please contact your lab and ask for their Kaltoft-Moltrup Normal Ranges.


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