Bacteria of Bipolar Disorder

Under sample are:

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Kaltoft-Moltrup Normal Range BiomeSight:2019-06-09 Mr.Example
Rank Name Low High Direction Count Percentile
class Acidobacteriia    📚 PubMed 432 187181 High 39090 74.6 %ile
class Bacteroidia    📚 PubMed 168290 661208 High 318270 30.3 %ile
family Corynebacteriaceae    📚 PubMed 8 13711 High 120 46 %ile
family Ruminococcaceae    📚 PubMed 57206 396601 💥 High Or Low 250820 75.7 %ile
genus Bacteroides    📚 PubMed 77260 503255 High 232390 45.3 %ile
genus Coprococcus    📚 PubMed 1750 55090 Low 54029 95.5 %ile
genus Escherichia    📚 PubMed 0 113640 High 160 49 %ile
genus Faecalibacterium    📚 PubMed 22380 269291 Low 147300 66.2 %ile
genus Halomonas    📚 PubMed 1 780 💥 High 90 77.5 %ile
genus Parabacteroides    📚 PubMed 4040 68000 💥 High 35020 80.4 %ile
genus Prevotella    📚 PubMed 15 790234 High 60 5.4 %ile
genus Roseburia    📚 PubMed 1870 168541 Low 26440 45.8 %ile
genus Ruminococcus    📚 PubMed 3756 184330 High Or Low 59160 74.7 %ile
phylum Actinobacteria    📚 PubMed 3730 212861 High 55200 72.1 %ile
phylum Bacteroidota    📚 PubMed 210992 604543 High 331440 33.4 %ile
phylum Firmicutes    📚 PubMed 325401 843317 💥 High Or Low 665920 77.6 %ile
species Faecalibacterium prausnitzii    📚 PubMed 9763 274660 High 32550 29.2 %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.