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: Neurological-Vision: photophobia (Light Sensitivity)_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 📹
🕮  Hesperidin (polyphenol) 0.691  📏
🕮  hyoscyamine (l),(prescription) 0.661
🕮  amoxicillin (antibiotic)s[CFS] 0.636
🕮  neomycin (antibiotic)s[CFS] 0.633
🕮  loperamide hydrochloride,(prescription) 0.626
🕮  risperidone,(prescription) 0.623
🕮  gentamicin (antibiotic)s 0.616
🕮  naproxen,(prescription) 0.609
🕮  N-Acetyl Cysteine (NAC), 0.607  📏
🕮  reboxetine mesylate,(prescription) 0.583
🕮  itraconazole,(prescription) 0.574
🕮  sulfamethoxazole (antibiotic) 0.574
🕮  ibuprofen 0.568
🕮  spectinomycin dihydrochloride (antibiotic) 0.568
🕮  carbamazepine,(prescription) 0.565
🕮  streptomycin (antibiotic)s 0.555
🕮  fenbendazole,(prescription) 0.554
🕮  dopamine (prescription) 0.553
🕮  atorvastatin (prescription) 0.553  📏
Caffeine 0.55
Vitamin B9,folic acid 0.546  📏
🕮  furosemide,(prescription) 0.546
🕮  procyclidine hydrochloride,(prescription) 0.546
3-alpha-hydroxy-5-beta-androstan-17-one,(prescription) 0.546
zimelidine dihydrochloride monohydrate,(prescription) 0.546
🕮  darifenacin hydrobromide,(prescription) 0.546
nafronyl oxalate,(prescription) 0.546
🕮  diphenhydramine hydrochloride,(prescription) 0.546
pipenzolate bromide,(prescription) 0.546
🕮  quinidine hydrochloride monohydrate,(prescription) 0.546
🕮  lamotrigine,(prescription) 0.546
🕮  modafinil,(prescription) 0.546
🕮  fosinopril,(prescription) 0.546
🕮  cyclopentolate hydrochloride,(prescription) 0.546
panthenol (d),(prescription) 0.546
metaproterenol sulfate; orciprenaline sulfate,(prescription) 0.546
eserine hemisulfate salt,(prescription) 0.546
remoxipride hydrochloride,(prescription) 0.546
🕮  cyproterone acetate,(prescription) 0.546
🕮  ifosfamide,(prescription) 0.546
quipazine dimaleate salt non-drug 0.546
🕮  busulfan,(prescription) 0.546
🕮  pravastatin,(prescription) 0.546
tranexamic acid,(prescription) 0.546
🕮  thalidomide,(prescription) 0.546
🕮  triamterene,(prescription) 0.546
🕮  benazepril hcl,(prescription) 0.546
🕮  norgestimate,(prescription) 0.546
🕮  Racetams 0.546  📏
pirenperone non-drug 0.546
bucladesine sodium salt,(prescription) 0.546
picrotoxinin non-drug 0.546
tracazolate hydrochloride non-drug 0.546
🕮  granisetron,(prescription) 0.546
🕮  halcinonide,(prescription) 0.546
🕮  phenoxybenzamine hydrochloride,(prescription) 0.546
🕮  timolol maleate salt,(prescription) 0.546
aminopurine; 6-benzyl non-drug 0.546
oxybenzone non-drug 0.546
🕮  lynestrenol,(prescription) 0.546

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.882
proton-pump inhibitors (prescription) 0.784
🕮  fructo-oligosaccharides (prebiotic) 0.77
Slippery Elm 0.733
🕮  lactobacillus plantarum (probiotics) 0.719
🕮  lactulose 0.698
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.622
🕮  resveratrol (grape seed/polyphenols/red wine) 0.576
raffinose(sugar beet) 0.565
apple 0.538
red wine 0.534
resistant starch 0.533
🕮  berberine 0.499
wheat bran 0.493
🕮  Burdock Root 0.471
🕮  Pulses 0.459
🕮  lactobacillus acidophilus (probiotics) 0.442
bacillus subtilis (probiotics) 0.437
mediterranean diet 0.428
🕮  saccharomyces boulardii (probiotics) 0.41
🕮  oligosaccharides (prebiotic) 0.405
🕮  galacto-oligosaccharides (prebiotic) 0.37
fasting 0.339
fat 0.337
pea (fiber, protein) 0.331
🕮  pectin 0.33
almonds/ almond skins 0.324
macrolide ((antibiotic)s) 0.318
soy 0.316
barley,oat 0.311
xylan (prebiotic) 0.308
Conjugated Linoleic Acid 0.29
Lactobacillus Johnsonii (probiotic) 0.288
non-starch polysaccharides 0.287
jerusalem artichoke (prebiotic) 0.285
🕮  zinc 0.279
🕮  gum arabic (prebiotic) 0.273
sesame cake/meal 0.273
vsl#3 (probiotics) 0.272
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.268
🕮  Glucomannan 0.265
high sugar diet 0.263
ketogenic diet 0.259
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.25
magnesium 0.25
blueberry 0.24
l-citrulline 0.232
🕮  lactobacillus fermentum (probiotics) 0.227
resistant maltodextrin 0.224
barley 0.223
🕮  bifidobacterium lactis bb12 (probiotics) 0.22
fish oil 0.218
high red meat 0.216
gallic acid (food additive) 0.211
🕮  rifaximin (antibiotic)s 0.205
gynostemma pentaphyllum (Jiaogulan) 0.204
plantago asiatica l. 0.201
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.2
green-lipped mussel 0.199
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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