National Library of Medicine Citations for Osteoporosis

The following have had published studies. These are report on the averages of a group of patients; they do not apply to all patients and are not necessary predictive.

Some studies were done on people with specific conditions, ethnic origin or diet style (i.e. traditional Chinese Diet versus Western Diet), which may be why some shifts are in opposite directions.

See this post about overlapping bacteria/taxa and possible progression of conditions.

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Note these are associations and not causation. Items being high or low may be part of the immune response.

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A percentile below 20% can be deemed to be low, and above 80% as high. These are arbitrary values.

Tax Rank Tax Name Shift Percentile Distribution Citation Link
class Bacteroidia (NCBI:200643 ) High Distribution    ๐Ÿ“š PubMed
class Bacteroidia (NCBI:200643 ) Low Distribution    ๐Ÿ“š PubMed
class Deferribacteres (NCBI:68337 ) Low Distribution    ๐Ÿ“š PubMed
family Erysipelotrichaceae (NCBI:128827 ) Low Distribution    ๐Ÿ“š PubMed
family Prevotellaceae (NCBI:171552 ) High Distribution    ๐Ÿ“š PubMed
family Rikenellaceae (NCBI:171550 ) Low Distribution    ๐Ÿ“š PubMed
family Ruminococcaceae (NCBI:541000 ) Low Distribution    ๐Ÿ“š PubMed
genus Actinomyces (NCBI:1654 ) High Distribution    ๐Ÿ“š PubMed
genus Actinomyces (NCBI:1654 ) High Distribution    ๐Ÿ“š PubMed
genus Alistipes (NCBI:239759 ) Low Distribution    ๐Ÿ“š PubMed
genus Alloprevotella (NCBI:1283313 ) Low Distribution    ๐Ÿ“š PubMed
genus Anaerostipes (NCBI:207244 ) Low Distribution    ๐Ÿ“š PubMed
genus Bacteroides (NCBI:816 ) High Distribution    ๐Ÿ“š PubMed
genus Bacteroides (NCBI:816 ) Low Distribution    ๐Ÿ“š PubMed
genus Blautia (NCBI:572511 ) Low Distribution    ๐Ÿ“š PubMed
genus Blautia (NCBI:572511 ) Low Distribution    ๐Ÿ“š PubMed
genus Clostridium (NCBI:1485 ) High Distribution    ๐Ÿ“š PubMed
genus Dialister (NCBI:39948 ) High Distribution    ๐Ÿ“š PubMed
genus Eggerthella (NCBI:84111 ) High Distribution    ๐Ÿ“š PubMed
genus Eggerthella (NCBI:84111 ) High Distribution    ๐Ÿ“š PubMed
genus Escherichia (NCBI:561 ) High Distribution    ๐Ÿ“š PubMed
genus Faecalibacterium (NCBI:216851 ) High Distribution    ๐Ÿ“š PubMed
genus Helicobacter (NCBI:209 ) High Distribution    ๐Ÿ“š PubMed
genus Lactobacillus (NCBI:1578 ) High Distribution    ๐Ÿ“š PubMed
genus Lactobacillus (NCBI:1578 ) High Distribution    ๐Ÿ“š PubMed
genus Lactobacillus (NCBI:1578 ) High Distribution    ๐Ÿ“š PubMed
genus Lactobacillus (NCBI:1578 ) Low Distribution    ๐Ÿ“š PubMed
genus Megamonas (NCBI:158846 ) Low Distribution    ๐Ÿ“š PubMed
genus Ruminococcus (NCBI:1263 ) High Distribution    ๐Ÿ“š PubMed
genus Shigella (NCBI:620 ) High Distribution    ๐Ÿ“š PubMed
genus Subdoligranulum (NCBI:292632 ) Low Distribution    ๐Ÿ“š PubMed
genus Veillonella (NCBI:29465 ) High Distribution    ๐Ÿ“š PubMed
phylum Bacteroidetes (NCBI:976 ) High Distribution    ๐Ÿ“š PubMed
phylum Deferribacteres (NCBI:200930 ) Low Distribution    ๐Ÿ“š PubMed
phylum Firmicutes (NCBI:1239 ) Low Distribution    ๐Ÿ“š PubMed
species Akkermansia muciniphila (NCBI:239935 ) Low Distribution    ๐Ÿ“š PubMed

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

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