Why some suggestions may contradict

RECOMMENDED READING Caveats on using the contents of this page. ๐Ÿ‘จโ€โš•๏ธ

If you need help with this information, here is a list of consultants ๐Ÿ‘จโ€โš•๏ธ๐Ÿ‘ฉโ€โš•๏ธ that are available.

Suggestion Parameters

Sample:A Priori (from theoretical deduction)
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Official Diagnosis: COVID19 (Long Hauler)_Drugs
Rank Used: All Ranks
Shifts Used:High and Low Levels
Citations Used:

How do we know if the suggestions are reasonable/valid?

๐Ÿฑ Food Menu Planner ๐Ÿฝ๏ธ ๐Ÿ“น How are suggestions determined


The following will shift items that are too high to lower values and values that are too low to higher values.
Items will feed or starve specific bacteria.

With antibiotics, if there is no significant response, there may be antibiotic resistance. Bacteria do share resistance genes between themselves. Consider moving on to a different one, ideally a different family.

The recommended process to obtain a persistent shift of the microbiome is:
 Generate 4 lists from the suggestions with nothing repeated on another list
  Emphasize one list each week
  After 8 weeks (2 cycles), retest the microbiome to obtains the next set of course corrections
This approach allows the microbiome to stablize towards normal.

To Add or Increase Intake

Modifier (Alt Names on Hover) Confidence ๐Ÿ“น
๐Ÿ•ฎ  gentamicin (antibiotic)s 1
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.767
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.714  ๐Ÿ“
๐Ÿ•ฎ  amikacin (antibiotic)s 0.681
vitamin B3,niacin 0.666  ๐Ÿ“
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.644
๐Ÿ•ฎ  Goji (berry,juice) 0.584
walnuts 0.58  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.579
๐Ÿ•ฎ  imipenem (antibiotic)s 0.579
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.574
๐Ÿ•ฎ  neomycin (antibiotic)s[CFS] 0.571
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.571
Curcumin 0.564  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.562  ๐Ÿ“
rosmarinus officinalis,rosemary 0.556
๐Ÿ•ฎ  meropenem (antibiotic)s 0.515
๐Ÿ•ฎ  dopamine (prescription) 0.509
๐Ÿ•ฎ  naproxen,(prescription) 0.503
๐Ÿ•ฎ  risperidone,(prescription) 0.503
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.503  ๐Ÿ“
๐Ÿ•ฎ  ibuprofen 0.503
๐Ÿ•ฎ  Vitamin B-12 0.499  ๐Ÿ“
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.499
๐Ÿ•ฎ  alverine citrate salt,(prescription) 0.499
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.499  ๐Ÿ“
tea 0.486
๐Ÿ•ฎ  ceftazidime (antibiotic)s 0.446
๐Ÿ•ฎ  aztreonam (antibiotic) 0.442
๐Ÿ•ฎ  spectinomycin dihydrochloride (antibiotic) 0.439
๐Ÿ•ฎ  streptomycin (antibiotic)s 0.439
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.435
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.435
๐Ÿ•ฎ  levocabastine hydrochloride,(prescription) 0.435
๐Ÿ•ฎ  repaglinide,(prescription) 0.435
clocortolone pivalate,(prescription) 0.435
๐Ÿ•ฎ  sildenafil,(prescription) 0.435
๐Ÿ•ฎ  oxybutynin chloride,(prescription) 0.435
tridihexethyl chloride,(prescription) 0.435
๐Ÿ•ฎ  prednisolone,(prescription) 0.435
๐Ÿ•ฎ  sotalol hydrochloride,(prescription) 0.435
๐Ÿ•ฎ  sulfaquinoxaline sodium salt,(prescription) 0.435
๐Ÿ•ฎ  sulfadimethoxine (antibiotic) 0.435
๐Ÿ•ฎ  cimetidine,(prescription) 0.435
๐Ÿ•ฎ  benzocaine,(prescription) 0.435
denatonium benzoate non-drug 0.435
nitrocaramiphen hydrochloride non-drug 0.435
mebhydroline 1;5-naphtalenedisulfonate,(prescription) 0.435
levalbuterol hydrochloride,(prescription) 0.435
๐Ÿ•ฎ  metaraminol bitartrate,(prescription) 0.435
๐Ÿ•ฎ  guanethidine sulfate,(prescription) 0.435
๐Ÿ•ฎ  trimethobenzamide hydrochloride,(prescription) 0.435
benserazide hydrochloride non-drug 0.435
๐Ÿ•ฎ  aprepitant,(prescription) 0.435
promazine hydrochloride,(prescription) 0.435
๐Ÿ•ฎ  chlormadinone acetate,(prescription) 0.435
๐Ÿ•ฎ  bosentan,(prescription) 0.435
๐Ÿ•ฎ  didanosine,(prescription) 0.435
๐Ÿ•ฎ  benfotiamine,(prescription) 0.435  ๐Ÿ“
flumethasone,(prescription) 0.435

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
mediterranean diet 0.816
๐Ÿ•ฎ  Pulses 0.766
non-starch polysaccharides 0.761
arabinogalactan (prebiotic) 0.652
red wine 0.638
๐Ÿ•ฎ  inulin (prebiotic) 0.602
proton-pump inhibitors (prescription) 0.6
vegetarians 0.574
๐Ÿ•ฎ  Burdock Root 0.567
ketogenic diet 0.548
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.477
fat 0.435
high carbohydrate diet 0.418
navy bean 0.412
xylan (prebiotic) 0.402
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.398
๐Ÿ•ฎ  Pistachio 0.397
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.395
๐Ÿ•ฎ  pectin 0.378
pea (fiber, protein) 0.369
linseed(flaxseed) 0.359
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.357
Lactobacillus Johnsonii (probiotic) 0.34
๐Ÿ•ฎ  epinephrine 0.331
rhubarb 0.324
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.323
bacillus subtilis (probiotics) 0.323
Conjugated Linoleic Acid 0.32
๐Ÿ•ฎ  ß-glucan 0.312
wheat bran 0.307
๐Ÿ•ฎ  berberine 0.299
heme 0.289
l-citrulline 0.289
pomegranate 0.267
raffinose(sugar beet) 0.266
l-proline 0.265
๐Ÿ•ฎ  Ginseng 0.264
๐Ÿ•ฎ  bifidobacterium adolescentis,(probiotics) 0.255
magnesium 0.255
vitamin a 0.255
fruit/legume fibre 0.244
dietary phytoestrogens (isoflavones) 0.239
๐Ÿ•ฎ  lactulose 0.204
amaranth 0.196
๐Ÿ•ฎ  Agavins (agave sugar) 0.196
high red meat 0.196
๐Ÿ•ฎ  galactose (milk sugar) 0.196
carob 0.196
macrolide ((antibiotic)s) 0.192
lincosamide (antibiotic)s 0.192
hydromorphone 0.191
fish oil 0.191
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.191
๐Ÿ•ฎ  bifidobacterium animalis lactis (probiotics) 0.191
๐Ÿ•ฎ  camellia 0.191
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.19
General Biotics Equilibrium 0.19
bacillus coagulans (probiotics) 0.187
wheat 0.171
๐Ÿ•ฎ  cruciferous vegetables (broccoli cabbage) 0.165
NOTE: (Heparin, hyaluronan, or chondroitin sulfate) and Lactobacillus probiotics should not be taken concurrently.

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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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.

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