Why some suggestions may contradict

RECOMMENDED READING Caveats on using the contents of this page. 👨‍⚕️

If you need help with this information, here is a list of consultants 👨‍⚕️👩‍⚕️ that are available.

Suggestion Parameters
Sample:A Priori (from theoretical deduction)
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Neurocognitive: Brain Fog_Drugs
Rank Used: All Ranks
Shifts Used:High and Low Levels
Citations Used:

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

🍱 Food Menu Planner 🍽️ 📹 How are suggestions determined

Suggestions

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 📹
🕮  gentamicin (antibiotic)s 0.983
🕮  piperacillin-tazobactam (antibiotic)s 0.895
🕮  imipenem (antibiotic)s 0.82
🕮  tobramycin (antibiotic)s 0.793
🕮  ciprofloxacin (antibiotic)s[CFS] 0.725
🕮  thyme (thymol, thyme oil) 0.686
🕮  vancomycin (antibiotic)[CFS] 0.683
🕮  amikacin (antibiotic)s 0.606
🕮  amoxicillin (antibiotic)s[CFS] 0.593
🕮  Hesperidin (polyphenol) 0.567  📏
🕮  ofloxacin (antibiotic)s 0.565
Caffeine 0.558
vitamin B3,niacin 0.549  📏
🕮  N-Acetyl Cysteine (NAC), 0.535  📏
🕮  atorvastatin (prescription) 0.527  📏
🕮  neomycin (antibiotic)s[CFS] 0.518
🕮  benzylpenicillin sodium (antibiotic) 0.51
🕮  meropenem (antibiotic)s 0.509
🕮  norfloxacin (antibiotic)s 0.496
🕮  itraconazole,(prescription) 0.48
🕮  sulfamethoxazole (antibiotic) 0.479
🕮  dopamine (prescription) 0.478
🕮  risperidone,(prescription) 0.471
🕮  acarbose,(prescription) 0.458
🕮  Vitamin B-12 0.452  📏
🕮  hyoscyamine (l),(prescription) 0.452
🕮  alverine citrate salt,(prescription) 0.452
🕮  metronidazole (antibiotic)s[CFS] 0.451
🕮  ampicillin (antibiotic)s[CFS] 0.444
🕮  Vitamin B1,thiamine hydrochloride 0.44  📏
🕮  spectinomycin dihydrochloride (antibiotic) 0.437
peppermint (spice, oil) 0.433
🕮  cefaclor hydrate (antibiotic) 0.43
alendronate sodium,(prescription) 0.422
🕮  disopyramide,(prescription) 0.422
ethoxyquin non-drug 0.422
calcipotriene,(prescription) 0.422
🕮  nisoldipine,(prescription) 0.422
mephentermine hemisulfate,(prescription) 0.422
parthenolide non-drug 0.422
🕮  fenbufen,(prescription) 0.422
isoxicam,(prescription) 0.422
bephenium hydroxynaphthoate,(prescription) 0.422
🕮  nortriptyline hydrochloride,(prescription) 0.422
🕮  ifenprodil tartrate,(prescription) 0.422
bretylium tosylate,(prescription) 0.422
🕮  sulfamerazine (antibiotic) 0.422
🕮  flunixin meglumine,(prescription) 0.422
oxantel pamoate,(prescription) 0.422
🕮  carbarsone non-drug 0.422
🕮  acetazolamide,(prescription) 0.422
🕮  alclometasone dipropionate,(prescription) 0.422
Arbutin (polyphenol) 0.422  📏
🕮  benzonatate,(prescription) 0.422
isosorbide mononitrate,(prescription) 0.422
🕮  amcinonide,(prescription) 0.422
🕮  triamterene,(prescription) 0.422
🕮  topiramate,(prescription) 0.422
🕮  chlorpropamide,(prescription) 0.422
deoxycorticosterone,(prescription) 0.422

To Remove or Decrease
Modifier Confidence 📹
arabinogalactan (prebiotic) 1
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.988
🕮  inulin (prebiotic) 0.932
resistant starch 0.762
red wine 0.733
Slippery Elm 0.714
🕮  berberine 0.708
ketogenic diet 0.613
mediterranean diet 0.588
🕮  Pulses 0.575
🕮  lactobacillus plantarum (probiotics) 0.543
wheat bran 0.515
xylan (prebiotic) 0.514
🕮  galacto-oligosaccharides (prebiotic) 0.49
🕮  fructo-oligosaccharides (prebiotic) 0.471
proton-pump inhibitors (prescription) 0.445
navy bean 0.438
l-citrulline 0.401
resistant maltodextrin 0.397
non-starch polysaccharides 0.392
saccharin 0.388
🕮  pectin 0.357
🕮  iron 0.341
🕮  lactobacillus acidophilus (probiotics) 0.337
🕮  lactulose 0.331
blueberry 0.315
🕮  lactobacillus rhamnosus (probiotics) 0.311
apple 0.309
triphala 0.307
fat 0.307
cranberry bean flour 0.298
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.297
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.283
stevia 0.28
ku ding cha tea 0.273
🕮  Cacao 0.262
soy 0.257
pea (fiber, protein) 0.242
plantago asiatica l. 0.234
chondrus crispus,red sea weed 0.225
🕮  epinephrine 0.225
gynostemma pentaphyllum (Jiaogulan) 0.22
wheat 0.218
🕮  saccharomyces boulardii (probiotics) 0.217
high red meat 0.214
vegetarians 0.213
fasting 0.21
🕮  oligosaccharides (prebiotic) 0.21
Alpha-Ketoglutarate 0.203
🕮  bifidobacterium lactis bb12 (probiotics) 0.197
barley,oat 0.196
Conjugated Linoleic Acid 0.195
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.193
l-proline 0.192
bacillus subtilis natto (probiotics) 0.19
grape seed extract 0.19
levan 0.183
🕮  lactobacillus rhamnosus gg (probiotics) 0.183
daesiho-tang 0.181
high carbohydrate diet 0.181
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.

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.
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.
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