National Library of Medicine Citations for Antiphospholipid syndrome (APS)

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: Perplexity  Kagi Labs  You 

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

You do not have any samples under this email

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 Chlamydiia (NCBI:204429 ) High Distribution    📚 PubMed
genus Bilophila (NCBI:35832 ) Low Distribution    📚 PubMed
genus Butyricimonas (NCBI:574697 ) Low Distribution    📚 PubMed
genus Klebsiella (NCBI:570 ) High Distribution    📚 PubMed
genus Salmonella (NCBI:590 ) High Distribution    📚 PubMed
genus Slackia (NCBI:84108 ) High Distribution    📚 PubMed
genus Staphylococcus (NCBI:1279 ) High Distribution    📚 PubMed
genus Streptococcus (NCBI:1301 ) High Distribution    📚 PubMed
phylum Chlamydiae (NCBI:204428 ) High Distribution    📚 PubMed
species Actinomyces massiliensis (NCBI:461393 ) High Distribution    📚 PubMed
species Arachnia propionica (NCBI:1750 ) High Distribution    📚 PubMed
species Bacillus leprae Hansen 1880 (NCBI:1769 ) High Distribution    📚 PubMed
species Bacteroides thetaiotaomicron (NCBI:818 ) High Distribution    📚 PubMed
species Borrelia burdorferi (NCBI:139 ) High Distribution    📚 PubMed
species Corynebacterium amycolatum (NCBI:43765 ) High Distribution    📚 PubMed
species Coxiella burnetii (NCBI:777 ) High Distribution    📚 PubMed
species Escherichia coli (NCBI:562 ) High Distribution    📚 PubMed
species Fusobacterium necrophorum (NCBI:859 ) High Distribution    📚 PubMed
species Helicobacter pylori (NCBI:210 ) High Distribution    📚 PubMed
species Mycobacterium tuberculosis (NCBI:1773 ) High Distribution    📚 PubMed
species Roseburia intestinalis (NCBI:166486 ) High Distribution    📚 PubMed
species Treponema pallidum (NCBI:160 ) High Distribution    📚 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.

Copyright 2016-2023 Lassesen Consulting, LLC [2007], DBA, Microbiome Prescription. All rights served.
Permission to data scrap or reverse engineer is explicitly denied to all users. U.S. Code Title 18 PART I CHAPTER 47 § 1030, CETS No.185, CFAA
Use of data on this site is prohibited except under written license. There is no charge for individual personal use. Use for any commercial applications or research requires a written license.
Caveat emptor: Analysis and suggestions are based on modelling (and thus infererence) based on studies. The data sources are usually given for those that wish to consider alternative inferences. theories and models.

Microbiome Prescription do not make any representations that data or analyses available on this site is suitable for human diagnostic purposes, for informing treatment decisions, or for any other purposes and accept no responsibility or liability whatsoever for such use.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.


The awesome web hosting site that we use. Try it if you need to host (or unhappy with current provider)