This site may require a log-in in the near future. We are constantly being swamped by AI agents. If they continue to take down the site, we will be changing to requiring logins to access any item.
National Library of Medicine Citations for Heart Failure
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.
Note these are associations and not causation. Items being high or low may be part of the immune response.
⬆️ indicate a study reporting it is high. ⬇️ indicates a study reporting it is low. Names are indented according to taxonomy rank. Hover over to see rank.
Pseudomonadota ⬆️
Cardiobacterium hominis ⬆️
Acinetobacter baumannii ⬆️
Pseudomonas aeruginosa ⬆️
Shigella ⬆️⬆️
Enterobacter ⬆️
Escherichia ⬆️⬆️⬆️
Klebsiella ⬆️⬆️⬆️
Escherichia coli ⬆️
Parasutterella ⬆️
Sutterella wadsworthensis ⬇️
Chlamydia pneumoniae ⬆️⬆️
Akkermansia ⬇️⬇️
Bacteroidota ⬇️
Pedobacter ⬇️
Paraprevotella ⬆️
Prevotella ⬆️⬆️⬇️⬇️
Parabacteroides ⬆️⬆️⬆️
Bacteroides ⬆️
Mediterranea ⬆️
Bacillota ⬇️
Actinomycetota ⬆️⬆️
Negativicutes ⬆️
Peptococcaceae ⬆️
Eubacterium ⬇️⬇️
Eubacterium oxidoreducens ⬆️
Ruminococcus ⬆️⬇️
Oscillibacter ⬇️⬇️⬇️
Flavonifractor ⬆️
Faecalibacterium ⬆️⬇️⬇️
Oscillospira ⬆️
Ruminiclostridium ⬆️⬇️
Faecalibacterium prausnitzii ⬇️
Clostridium ⬆️
Clostridium sporogenes ⬆️
Intestinimonas ⬇️
Romboutsia ⬆️
Clostridioides difficile ⬆️
Lachnospiraceae ⬇️
Anaerostipes ⬇️
Blautia ⬇️
Lachnoclostridium ⬆️
Pseudobutyrivibrio ⬇️
Coprococcus ⬆️
Roseburia ⬇️
Butyrivibrio ⬆️
Agathobacter rectalis ⬇️
Dorea longicatena ⬇️
Mediterraneibacter gnavus ⬆️
Lachnospira eligens ⬆️
Faecalitalea ⬆️
Holdemanella ⬆️
Catenibacterium ⬆️
Selenomonadales ⬆️
Phascolarctobacterium ⬆️
Megamonas ⬆️
Bacillales ⬇️
Staphylococcus capitis ⬆️
Staphylococcus aureus ⬆️
Streptococcus ⬆️⬆️⬆️
Streptococcus sanguinis ⬆️
Streptococcus pyogenes ⬆️
Aerococcus urinae ⬆️
Lactobacillus ⬆️⬇️
Enterococcus ⬆️⬆️
Bifidobacterium ⬇️
Corynebacterium diphtheriae ⬆️
Mycobacterium kansasii ⬆️
Mycoplasmoides pneumoniae ⬆️
Mucispirillum ⬇️
Helicobacter pylori ⬆️
Fusobacterium nucleatum ⬆️
Aspergillus ⬆️⬆️
Wallemia ⬆️
To see matches for your sample with the literature, raise display level.
Based on Clinical Studies in US National Libary of Medicine
For matching a percentile below 20% can be deemed to be low, and above 80% as high. These are arbitrary thresholds. In some cases, like for d-acidosis, it is the total from all bacteria that is important.
Explanations /Info /Descriptions are influenced by Large Language Models and may not be accurate and include some
hallucinations.Please report any to us for correction.
Copyright 2016 - 2025 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.
Inventions /Methodologies on this site are Patent Pending.
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 in strict compliance with Personal Health Information Laws. [216.73.216 ]
Distribution