Bacteria of Eczema

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 Bacteroidetes    📚 PubMed 168290 661208 High 318270 30.3 %ile
family Bacteroidaceae    📚 PubMed 84090 503391 High 232390 45 %ile
family Bifidobacteriaceae    📚 PubMed 32 280354 Low 32800 83.9 %ile
family Clostridiaceae    📚 PubMed 1172 81139 High 11499 34.3 %ile
family Enterobacteriaceae    📚 PubMed 13 132680 High 310 42.8 %ile
family Lactobacillaceae    📚 PubMed 66 11411 Low 2250 68.3 %ile
family Veillonellaceae    📚 PubMed 76 45554 Low 15180 74.5 %ile
genus Bifidobacterium    📚 PubMed 31 356470 Low 32670 84.2 %ile
genus Clostridium    📚 PubMed 964 39529 Low 9050 65.1 %ile
genus Enterococcus    📚 PubMed 4 4625 High 340 74.8 %ile
genus Escherichia    📚 PubMed 0 113640 High 160 49 %ile
genus Eubacterium    📚 PubMed 10 199925 Low 270 26.5 %ile
genus Faecalibacterium    📚 PubMed 22380 269291 High 147300 66.2 %ile
genus Haemophilus    📚 PubMed 11 14820 Low 130 33.7 %ile
genus Megasphaera    📚 PubMed 4 2881 Low 140 49.9 %ile
genus Streptococcus    📚 PubMed 81 22169 Low 6700 81.4 %ile
genus Sutterella    📚 PubMed 613 82208 High 750 20.6 %ile
genus Veillonella    📚 PubMed 12 14400 High 200 39.8 %ile
order Bacteroidales    📚 PubMed 168290 661208 High 318270 30.8 %ile
phylum Bacteroidota    📚 PubMed 210992 604543 High 331440 33.4 %ile
species Faecalibacterium prausnitzii    📚 PubMed 9763 274660 High 32550 29.2 %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.