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: Physical: Organic Diet_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 0.74
🕮  imipenem (antibiotic)s 0.64
🕮  vancomycin (antibiotic)[CFS] 0.639
cinnamon (oil. spice) 0.599  📏
🕮  amoxicillin (antibiotic)s[CFS] 0.53
🕮  benzylpenicillin sodium (antibiotic) 0.521
🕮  loperamide hydrochloride,(prescription) 0.519
🕮  lactobacillus casei (probiotics) 0.493  📏
🕮  risperidone,(prescription) 0.481
rosmarinus officinalis,rosemary 0.478
🕮  piperacillin-tazobactam (antibiotic)s 0.459
🕮  norfloxacin (antibiotic)s 0.459
🕮  thyme (thymol, thyme oil) 0.457
🕮  Hesperidin (polyphenol) 0.447  📏
🕮  Vitamin B1,thiamine hydrochloride 0.444  📏
🕮  ampicillin (antibiotic)s[CFS] 0.442
🕮  N-Acetyl Cysteine (NAC), 0.436  📏
intesti-bacteriophage 0.435
Caffeine 0.422
🕮  acarbose,(prescription) 0.419
🕮  ciprofloxacin (antibiotic)s[CFS] 0.402
trametes versicolor(Turkey tail mushroom) 0.392
chitosan,(sugar) 0.388  📏
🕮  Cacao 0.382  📏
foeniculum vulgare,fennel 0.367
🕮  amikacin (antibiotic)s 0.36
glycyrrhizic acid (licorice) 0.349  📏
🕮  ofloxacin (antibiotic)s 0.348
Vitamin C (ascorbic acid) 0.341  📏
peppermint (spice, oil) 0.333
🕮  garlic (allium sativum) 0.332  📏
🕮  propolis(bee's glue) 0.331
🕮  atorvastatin (prescription) 0.328  📏
🕮  tigecycline (antibiotic)s 0.326
linseed(flaxseed) 0.325  📏
quercetin 0.32  📏
🕮  sulfamethoxazole (antibiotic) 0.306
🕮  itraconazole,(prescription) 0.306
polymannuronic acid 0.3
🕮  pivmecillinam hydrochloride (antibiotic) 0.3
🕮  pizotifen malate,(prescription) 0.3
🕮  podophyllotoxin,(prescription) 0.3
practolol,(prescription) 0.3
🕮  pralidoxime chloride,(prescription) 0.3
🕮  praziquantel,(prescription) 0.3
🕮  prazosin hydrochloride,(prescription) 0.3
🕮  prednicarbate,(prescription) 0.3
🕮  prednisolone,(prescription) 0.3
🕮  piroxicam,(prescription) 0.3
picotamide monohydrate,(prescription) 0.3
picrotoxinin non-drug 0.3
🕮  pilocarpine nitrate,(prescription) 0.3
🕮  pimethixene maleate,(prescription) 0.3
🕮  pimozide,(prescription) 0.3
pinacidil,(prescription) 0.3
🕮  pindolol,(prescription) 0.3
🕮  pirenzepine dihydrochloride,(prescription) 0.3
🕮  piretanide,(prescription) 0.3
🕮  piribedil hydrochloride,(prescription) 0.3
pirlindole mesylate,(prescription) 0.3

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
Slippery Elm 0.905
🕮  berberine 0.734
arabinogalactan (prebiotic) 0.519
🕮  iron 0.495
barley 0.478
bile (acid/salts) 0.47
🕮  saccharomyces boulardii (probiotics) 0.468
🕮  Pulses 0.452
red wine 0.407
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.366
walnuts 0.336
resistant starch 0.336
saccharin 0.327
sesame cake/meal 0.322
vegetarians 0.32
penicillin-moxalactam (antibiotic)s 0.297
🕮  oligosaccharides (prebiotic) 0.286
resistant maltodextrin 0.282
🕮  tetracycline (antibiotic)s 0.28
🕮  lactobacillus rhamnosus gg (probiotics) 0.277
sodium butyrate 0.271
macrolide ((antibiotic)s) 0.267
wheat bran 0.256
chemotherapy (prescription) 0.253
raffinose(sugar beet) 0.253
🕮  enterococcus faecium (probiotic) 0.247
🕮  dibekacin (antibiotic)s 0.246
apple 0.243
🕮  vitamin d 0.243
dietary phytoestrogens (isoflavones) 0.24
soy 0.239
buckwheat 0.238
🕮  lactobacillus rhamnosus (probiotics) 0.237
cholic acid (bile acid) 0.233
🕮  galactose (milk sugar) 0.222
pea (fiber, protein) 0.222
non-starch polysaccharides 0.217
🕮  lactobacillus plantarum (probiotics) 0.216
🕮  resveratrol (grape seed/polyphenols/red wine) 0.213
proton-pump inhibitors (prescription) 0.212
helminth infection (prescription) 0.204
lincosamide (antibiotic)s 0.185
high fiber diet 0.183
🕮  lactulose 0.181
bacillus subtilis (probiotics) 0.18
🕮  bifidobacterium longum (probiotics) 0.179
fasting 0.178
wheat 0.178
raw potato starch 0.177
🕮  fluorine 0.176
🕮  esculin 0.172
jerusalem artichoke (prebiotic) 0.171
🕮  pectin 0.166
Manuka Honey 0.162
fibre-rich macrobiotic ma-pi 2 diet 0.162
🕮  high-fat diets 0.161
plantago asiatica l. 0.16
Fish Sauce 0.159
Sauerkraut 0.158
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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