National Library of Medicine Citations for Stress / posttraumatic stress disorder

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.

AI Engines For more Details: PerplexityKagi LabsYou

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 Actinomycetia (NCBI:1760 ) Low Distribution    ๐Ÿ“š PubMed
class Gammaproteobacteria (NCBI:1236 ) High Distribution    ๐Ÿ“š PubMed
family Coriobacteriaceae (NCBI:84107 ) High Distribution    ๐Ÿ“š PubMed
family Enterobacteriaceae (NCBI:543 ) High Distribution    ๐Ÿ“š PubMed
family Enterobacteriaceae (NCBI:543 ) High Distribution    ๐Ÿ“š PubMed
family Erysipelotrichaceae (NCBI:128827 ) High Distribution    ๐Ÿ“š PubMed
family Lachnospiraceae (NCBI:186803 ) Low Distribution    ๐Ÿ“š PubMed
family Ruminococcaceae (NCBI:541000 ) Low Distribution    ๐Ÿ“š PubMed
family Ruminococcaceae (NCBI:541000 ) Low Distribution    ๐Ÿ“š PubMed
genus Acidaminococcus (NCBI:904 ) High Distribution    ๐Ÿ“š PubMed
genus Acidaminococcus (NCBI:904 ) High Distribution    ๐Ÿ“š PubMed
genus Adlercreutzia (NCBI:447020 ) Low Distribution    ๐Ÿ“š PubMed
genus Akkermansia (NCBI:239934 ) High Distribution    ๐Ÿ“š PubMed
genus Anaeroplasma (NCBI:2086 ) Low Distribution    ๐Ÿ“š PubMed
genus Anaerostipes (NCBI:207244 ) High Distribution    ๐Ÿ“š PubMed
genus Atopobium (NCBI:1380 ) Low Distribution    ๐Ÿ“š PubMed
genus Bacteroides (NCBI:816 ) High Distribution    ๐Ÿ“š PubMed
genus Bacteroides (NCBI:816 ) Low Distribution    ๐Ÿ“š PubMed
genus Bifidobacterium (NCBI:1678 ) High Distribution    ๐Ÿ“š PubMed
genus Bifidobacterium (NCBI:1678 ) Low Distribution    ๐Ÿ“š PubMed
genus Bulleidia (NCBI:118747 ) High Distribution    ๐Ÿ“š PubMed
genus Christensenella (NCBI:990721 ) High Distribution    ๐Ÿ“š PubMed
genus Clostridium (NCBI:1485 ) High Distribution    ๐Ÿ“š PubMed
genus Collinsella (NCBI:102106 ) Low Distribution    ๐Ÿ“š PubMed
genus Coprobacillus (NCBI:100883 ) High Distribution    ๐Ÿ“š PubMed
genus Coprococcus (NCBI:33042 ) Low Distribution    ๐Ÿ“š PubMed
genus Coriobacterium (NCBI:33870 ) Low Distribution    ๐Ÿ“š PubMed
genus Corynebacterium (NCBI:1716 ) High Distribution    ๐Ÿ“š PubMed
genus Dehalobacterium (NCBI:51514 ) High Distribution    ๐Ÿ“š PubMed
genus Dorea (NCBI:189330 ) High Distribution    ๐Ÿ“š PubMed
genus Enterococcus (NCBI:1350 ) High Distribution    ๐Ÿ“š PubMed
genus Enterococcus (NCBI:1350 ) High Distribution    ๐Ÿ“š PubMed
genus Enterococcus (NCBI:1350 ) High Distribution    ๐Ÿ“š PubMed
genus Enterococcus (NCBI:1350 ) High Distribution    ๐Ÿ“š PubMed
genus Escherichia (NCBI:561 ) High Distribution    ๐Ÿ“š PubMed
genus Faecalibacterium (NCBI:216851 ) Low Distribution    ๐Ÿ“š PubMed
genus Fusobacterium (NCBI:848 ) High Distribution    ๐Ÿ“š PubMed
genus Fusobacterium (NCBI:848 ) High Distribution    ๐Ÿ“š PubMed
genus Lactobacillus (NCBI:1578 ) High Distribution    ๐Ÿ“š PubMed
genus Methanobrevibacter (NCBI:2172 ) High Distribution    ๐Ÿ“š PubMed
genus Oscillospira (NCBI:119852 ) Low Distribution    ๐Ÿ“š PubMed
genus Parabacteroides (NCBI:375288 ) High Distribution    ๐Ÿ“š PubMed
genus Peptoniphilus (NCBI:162289 ) High Distribution    ๐Ÿ“š PubMed
genus Peptoniphilus (NCBI:162289 ) High Distribution    ๐Ÿ“š PubMed
genus Peptostreptococcus (NCBI:1257 ) High Distribution    ๐Ÿ“š PubMed
genus Peptostreptococcus (NCBI:1257 ) High Distribution    ๐Ÿ“š PubMed
genus Phascolarctobacterium (NCBI:33024 ) Low Distribution    ๐Ÿ“š PubMed
genus Porphyromonas (NCBI:836 ) High Distribution    ๐Ÿ“š PubMed
genus Rhodococcus (NCBI:1827 ) High Distribution    ๐Ÿ“š PubMed
genus Rhodococcus (NCBI:1661425 ) High Distribution    ๐Ÿ“š PubMed
genus Roseburia (NCBI:841 ) High Distribution    ๐Ÿ“š PubMed
genus Roseburia (NCBI:841 ) Low Distribution    ๐Ÿ“š PubMed
genus Shigella (NCBI:620 ) High Distribution    ๐Ÿ“š PubMed
genus Shigella (NCBI:620 ) High Distribution    ๐Ÿ“š PubMed
genus Sphingomonas (NCBI:13687 ) High Distribution    ๐Ÿ“š PubMed
genus Staphylococcus (NCBI:1279 ) High Distribution    ๐Ÿ“š PubMed
genus Staphylococcus (NCBI:1279 ) High Distribution    ๐Ÿ“š PubMed
genus Staphylococcus (NCBI:1279 ) High Distribution    ๐Ÿ“š PubMed
genus Staphylococcus (NCBI:1279 ) High Distribution    ๐Ÿ“š PubMed
genus Turicibacter (NCBI:191303 ) High Distribution    ๐Ÿ“š PubMed
phylum Actinobacteria (NCBI:201174 ) Low Distribution    ๐Ÿ“š PubMed
phylum Actinobacteria (NCBI:201174 ) Low Distribution    ๐Ÿ“š PubMed
phylum Firmicutes (NCBI:1239 ) Low Distribution    ๐Ÿ“š PubMed
phylum Lentisphaerae (NCBI:256845 ) Low Distribution    ๐Ÿ“š PubMed
phylum Lentisphaerae (NCBI:256845 ) Low Distribution    ๐Ÿ“š PubMed
phylum Tenericutes (NCBI:544448 ) Low Distribution    ๐Ÿ“š PubMed
phylum Verrucomicrobia (NCBI:74201 ) Low Distribution    ๐Ÿ“š PubMed
phylum Verrucomicrobia (NCBI:74201 ) Low Distribution    ๐Ÿ“š PubMed
species Akkermansia muciniphila (NCBI:239935 ) Low Distribution    ๐Ÿ“š PubMed
species Bacteroides salyersiae (NCBI:291644 ) Low Distribution    ๐Ÿ“š PubMed
species Eggerthella lenta (NCBI:84112 ) Low Distribution    ๐Ÿ“š PubMed
species Escherichia coli (NCBI:562 ) High Distribution    ๐Ÿ“š PubMed
species Faecalibacterium prausnitzii (NCBI:853 ) Low Distribution    ๐Ÿ“š PubMed
species Francisella tularensis (NCBI:263 ) High Distribution    ๐Ÿ“š PubMed
species Lactiplantibacillus plantarum (NCBI:1590 ) Low Distribution    ๐Ÿ“š PubMed
species Staphylococcus intermedius (NCBI:1285 ) 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

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

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