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: Pain: Eye pain_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 📹
🕮  amoxicillin (antibiotic)s[CFS] 0.705
🕮  azithromycin,(antibiotic)s[CFS] 0.703  📏
🕮  Hesperidin (polyphenol) 0.686  📏
🕮  risperidone,(prescription) 0.675
🕮  imipenem (antibiotic)s 0.649
🕮  neomycin (antibiotic)s[CFS] 0.649
🕮  loperamide hydrochloride,(prescription) 0.641
🕮  N-Acetyl Cysteine (NAC), 0.62  📏
🕮  acarbose,(prescription) 0.605
🕮  spectinomycin dihydrochloride (antibiotic) 0.594
🕮  naproxen,(prescription) 0.594
🕮  metronidazole (antibiotic)s[CFS] 0.579
Caffeine 0.579
🕮  ibuprofen 0.576
🕮  Vitamin B1,thiamine hydrochloride 0.572  📏
🕮  atorvastatin (prescription) 0.567  📏
moxalactam disodium salt (antibiotic) 0.567
🕮  mebendazole,(prescription) 0.552
🕮  isosorbide dinitrate,(prescription) 0.552
zaprinast non-drug 0.552
🕮  albendazole,(prescription) 0.552
🕮  chloroquine diphosphate,(prescription)[CFS] 0.552
🕮  valacyclovir hydrochloride,(prescription) 0.552
🕮  piretanide,(prescription) 0.552
norethynodrel,(prescription) 0.552
🕮  gabapentin,(prescription) 0.552
🕮  nadide non-drug 0.552
🕮  ropinirole hcl,(prescription) 0.552
🕮  pergolide mesylate,(prescription) 0.552
🕮  bisoprolol fumarate,(prescription) 0.552
🕮  clebopride maleate,(prescription) 0.552
🕮  progesterone,(prescription) 0.552
🕮  terazosin hydrochloride,(prescription) 0.552
equilin,(prescription) 0.552
🕮  cyproheptadine hydrochloride,(prescription) 0.552
🕮  terbutaline hemisulfate,(prescription) 0.552
🕮  propylthiouracil,(prescription) 0.552
🕮  aceclidine hydrochloride,(prescription) 0.552
🕮  hymecromone,(prescription) 0.552
🕮  primidone,(prescription) 0.552
🕮  azaperone,(prescription) 0.552
🕮  mirtazapine,(prescription) 0.552
mefexamide hydrochloride,(prescription) 0.552
🕮  proglumide,(prescription) 0.552
methyldopate hydrochloride,(prescription) 0.552
🕮  rebamipide,(prescription) 0.552
🕮  ibudilast,(prescription) 0.552
🕮  mephenesin,(prescription) 0.552
🕮  diloxanide furoate,(prescription) 0.552
🕮  aminophylline,(prescription) 0.552
🕮  bufexamac,(prescription) 0.552
dimethisoquin hydrochloride,(prescription) 0.552
🕮  levodopa,(prescription) 0.552
🕮  melatonin supplement 0.552  📏
🕮  ranolazine,(prescription) 0.552
diphenidol hydrochloride,(prescription) 0.552
tetrahydrozoline hydrochloride,(prescription) 0.552
🕮  ketorolac tromethamine,(prescription) 0.552
sulfamethazine sodium salt (antibiotic) 0.552
🕮  homatropine hydrobromide (r;s),(prescription) 0.552

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
🕮  lactobacillus plantarum (probiotics) 0.567
🕮  Burdock Root 0.538
arabinogalactan (prebiotic) 0.506
resistant starch 0.499
proton-pump inhibitors (prescription) 0.428
🕮  berberine 0.401
vitamin a 0.371
🕮  Pulses 0.329
bacillus amyloliquefaciens (probiotic) 0.324
red wine 0.31
🕮  lactobacillus acidophilus (probiotics) 0.281
🕮  Reduce choline (Beef, Chicken Eggs) 0.268
bile (acid/salts) 0.266
🕮  enterococcus faecium (probiotic) 0.265
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.264
Slippery Elm 0.263
🕮  Prescript Assist (2018 Formula) 0.254
🕮  pectin 0.239
🕮  zinc 0.237
soy 0.234
carboxymethyl cellulose (prebiotic) 0.233
barley 0.23
🕮  fructo-oligosaccharides (prebiotic) 0.226
resistant maltodextrin 0.222
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.219
non-starch polysaccharides 0.217
Lactobacillus Johnsonii (probiotic) 0.208
pea (fiber, protein) 0.206
🕮  lactobacillus rhamnosus (probiotics) 0.198
fat 0.196
rare meat 0.194
gallic acid (food additive) 0.194
barley,oat 0.191
saccharin 0.187
high red meat 0.187
🕮  l-arginine 0.184
wheat bran 0.184
almonds/ almond skins 0.183
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.181
Conjugated Linoleic Acid 0.18
🕮  lactobacillus paracasei (probiotics) 0.179
vegetarians 0.179
Alpha-Ketoglutarate 0.178
sodium butyrate 0.178
blueberry 0.177
🕮  lactobacillus reuteri (probiotics) 0.173
🕮  resveratrol (grape seed/polyphenols/red wine) 0.173
🕮  bifidobacterium longum (probiotics) 0.169
fasting 0.166
plantago asiatica l. 0.164
chemotherapy (prescription) 0.163
🕮  vitamin d 0.163
🕮  lactobacillus rhamnosus gg (probiotics) 0.16
🕮  lactobacillus fermentum (probiotics) 0.159
pomegranate 0.154
🕮  bifidobacterium lactis bb12 (probiotics) 0.152
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.151
animal-based diet 0.149
🕮  omega-3 fatty acids 0.143
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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