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: Autonomic Manifestations: bladder dysfunction_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  risperidone,(prescription) 0.511
๐Ÿ•ฎ  neomycin (antibiotic)s[CFS] 0.433
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.4  ๐Ÿ“
๐Ÿ•ฎ  naproxen,(prescription) 0.387
๐Ÿ•ฎ  reboxetine mesylate,(prescription) 0.384
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.373
๐Ÿ•ฎ  spectinomycin dihydrochloride (antibiotic) 0.367
๐Ÿ•ฎ  ibuprofen 0.348
Vitamin B9,folic acid 0.347  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.334  ๐Ÿ“
prednisone,(prescription) 0.329
pregnenolone non-drug 0.321
prenylamine lactate,(prescription) 0.321
๐Ÿ•ฎ  pridinol methanesulfonate salt,(prescription) 0.321
๐Ÿ•ฎ  prilocaine hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  procaine hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  procarbazine hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  prochlorperazine dimaleate,(prescription) 0.321
๐Ÿ•ฎ  procyclidine hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  riluzole hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  rimantadine hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  rimexolone,(prescription) 0.321
๐Ÿ•ฎ  pemirolast potassium,(prescription) 0.321
pempidine tartrate,(prescription) 0.321
๐Ÿ•ฎ  penbutolol sulfate,(prescription) 0.321
๐Ÿ•ฎ  penciclovir,(prescription) 0.321
๐Ÿ•ฎ  penicillamine,(prescription) 0.321
๐Ÿ•ฎ  oxymetazoline hydrochloride,(prescription) 0.321
oxyphenbutazone,(prescription) 0.321
๐Ÿ•ฎ  ozagrel hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  praziquantel,(prescription) 0.321
๐Ÿ•ฎ  prazosin hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  prednicarbate,(prescription) 0.321
๐Ÿ•ฎ  prednisolone,(prescription) 0.321
๐Ÿ•ฎ  progesterone,(prescription) 0.321
๐Ÿ•ฎ  proglumide,(prescription) 0.321
๐Ÿ•ฎ  proguanil hydrochloride,(prescription) 0.321
parthenolide non-drug 0.321
๐Ÿ•ฎ  quinidine hydrochloride monohydrate,(prescription) 0.321
๐Ÿ•ฎ  promethazine hydrochloride,(prescription) 0.321
pronethalol hydrochloride non-drug 0.321
๐Ÿ•ฎ  propafenone hydrochloride,(prescription) 0.321
propantheline bromide,(prescription) 0.321
proparacaine hydrochloride,(prescription) 0.321
propoxycaine hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  Racetams 0.321  ๐Ÿ“
raclopride non-drug 0.321
๐Ÿ•ฎ  raloxifene hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  rebamipide,(prescription) 0.321
remoxipride hydrochloride,(prescription) 0.321
๐Ÿ•ฎ  repaglinide,(prescription) 0.321
๐Ÿ•ฎ  reserpine,(prescription) 0.321
retinoic acid,(Vitamin A derivative) 0.321
๐Ÿ•ฎ  ribavirin,(prescription) 0.321
๐Ÿ•ฎ  rivastigmine,(prescription) 0.321
๐Ÿ•ฎ  rofecoxib,(prescription) 0.321
rolipram non-drug 0.321
pyrithyldione,(prescription) 0.321
๐Ÿ•ฎ  quetiapine hemifumarate,(prescription) 0.321
๐Ÿ•ฎ  quinapril hcl,(prescription) 0.321

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 1
๐Ÿ•ฎ  inulin (prebiotic) 0.774
๐Ÿ•ฎ  Burdock Root 0.598
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.581
bacillus subtilis (probiotics) 0.516
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.514
arabinogalactan (prebiotic) 0.459
soy 0.418
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.412
raffinose(sugar beet) 0.4
barley 0.398
resistant starch 0.393
Lactobacillus Johnsonii (probiotic) 0.383
๐Ÿ•ฎ  lactulose 0.369
apple 0.347
๐Ÿ•ฎ  Cacao 0.338
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.332
wheat bran 0.297
jerusalem artichoke (prebiotic) 0.29
fat 0.282
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.276
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.27
pea (fiber, protein) 0.267
๐Ÿ•ฎ  berberine 0.266
Conjugated Linoleic Acid 0.26
fasting 0.25
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.238
Slippery Elm 0.236
๐Ÿ•ฎ  Glucomannan 0.235
navy bean 0.231
barley,oat 0.229
almonds/ almond skins 0.227
sesame cake/meal 0.226
๐Ÿ•ฎ  gum arabic (prebiotic) 0.226
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.225
red wine 0.225
mediterranean diet 0.219
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.218
pomegranate 0.218
oregano (origanum vulgare, oil) | 0.208
high fiber diet 0.204
blueberry 0.201
magnesium 0.199
๐Ÿ•ฎ  Pulses 0.196
proton-pump inhibitors (prescription) 0.191
๐Ÿ•ฎ  noni 0.191
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.176
๐Ÿ•ฎ  pectin 0.176
Prescript Assist (2018 Formula) 0.173
cholic acid (bile acid) 0.173
whey 0.173
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.172
๐Ÿ•ฎ  garlic (allium sativum) 0.166
pediococcus acidilactic (probiotic) 0.158
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.158
walnuts 0.158
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.154
brown rice 0.154
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.153
clostridium butyricum (probiotics),Miya,Miyarisan 0.151
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.

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