National Library of Medicine Citations for Barrett esophagus cancer

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
family Actinomycetaceae (NCBI:2049 ) Low Distribution    ๐Ÿ“š PubMed
family Campylobacteraceae (NCBI:72294 ) Low Distribution    ๐Ÿ“š PubMed
family Carnobacteriaceae (NCBI:186828 ) Low Distribution    ๐Ÿ“š PubMed
family Coriobacteriaceae (NCBI:84107 ) High Distribution    ๐Ÿ“š PubMed
family Erysipelotrichaceae (NCBI:128827 ) Low Distribution    ๐Ÿ“š PubMed
family Veillonellaceae (NCBI:31977 ) Low Distribution    ๐Ÿ“š PubMed
genus Actinomyces (NCBI:1654 ) Low Distribution    ๐Ÿ“š PubMed
genus Campylobacter (NCBI:194 ) Low Distribution    ๐Ÿ“š PubMed
genus Fusobacterium (NCBI:848 ) High Distribution    ๐Ÿ“š PubMed
genus Granulicatella (NCBI:117563 ) Low Distribution    ๐Ÿ“š PubMed
genus Megasphaera (NCBI:906 ) Low Distribution    ๐Ÿ“š PubMed
genus Solobacterium (NCBI:123375 ) Low Distribution    ๐Ÿ“š PubMed
genus Streptococcus (NCBI:1301 ) Low Distribution    ๐Ÿ“š PubMed
genus Veillonella (NCBI:29465 ) High Distribution    ๐Ÿ“š PubMed
phylum Proteobacteria (NCBI:1224 ) High Distribution    ๐Ÿ“š PubMed
species Limosilactobacillus fermentum (NCBI:1613 ) High 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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