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: Immune Manifestations: Abdominal 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 📹
🕮  neomycin (antibiotic)s[CFS] 0.402
🕮  Hesperidin (polyphenol) 0.332  📏
🕮  spectinomycin dihydrochloride (antibiotic) 0.302
🕮  high-fat diets 0.294
🕮  chloramphenicol (antibiotic)s 0.254
🕮  nitrofurantoin (antibiotic) 0.253
🕮  naproxen,(prescription) 0.25
🕮  rifampicin (antibiotic)s 0.237
🕮  ibuprofen 0.233
🕮  hyoscyamine (l),(prescription) 0.232
🕮  reboxetine mesylate,(prescription) 0.23
🕮  cefaclor hydrate (antibiotic) 0.23
🕮  fenbendazole,(prescription) 0.227
🕮  carbamazepine,(prescription) 0.225
🕮  estradiol valerate,(prescription) 0.217
🕮  guanabenz acetate,(prescription) 0.215
🕮  famciclovir,(prescription) 0.215
🕮  ketoprofen,(prescription) 0.215
pinacidil,(prescription) 0.215
🕮  colchicine,(prescription) 0.215
estradiol-17 beta,(prescription) 0.215
🕮  gliquidone,(prescription) 0.215
🕮  labetalol hydrochloride,(prescription) 0.215
digitoxigenin,(prescription) 0.215
🕮  fenoprofen calcium salt dihydrate,(prescription) 0.215
clofibric acid non-drug 0.215
pronethalol hydrochloride non-drug 0.215
🕮  tribenoside,(prescription) 0.215
🕮  terconazole,(prescription) 0.215
🕮  irsogladine maleate,(prescription) 0.215
lidoflazine,(prescription) 0.215
🕮  venlafaxine,(prescription) 0.215
canrenone,(prescription) 0.215
🕮  fomepizole,(prescription) 0.215
🕮  nizatidine,(prescription) 0.215
🕮  fenofibrate,(prescription) 0.215
🕮  metoprolol-(+;-) (+)-tartrate salt,(prescription) 0.215
🕮  argatroban,(prescription) 0.215
🕮  dimenhydrinate,(prescription) 0.215
🕮  lisinopril,(prescription) 0.215
pentetic acid non-drug 0.215
epitiostanol,(prescription) 0.215
🕮  vorinostat,(prescription) 0.215
🕮  atropine sulfate monohydrate,(prescription) 0.215
🕮  adenosine 5`-monophosphate monohydrate non-drug 0.215
🕮  budesonide,(prescription) 0.215
🕮  flunisolide,(prescription) 0.215
(s)-(-)-atenolol,(prescription) 0.215
imidurea non-drug 0.215
🕮  hydralazine hydrochloride,(prescription) 0.215
🕮  domperidone,(prescription) 0.215
🕮  glipizide,(prescription) 0.215
🕮  benzocaine,(prescription) 0.215
denatonium benzoate non-drug 0.215
nitrocaramiphen hydrochloride non-drug 0.215
🕮  levocabastine hydrochloride,(prescription) 0.215
🕮  repaglinide,(prescription) 0.215
clocortolone pivalate,(prescription) 0.215
🕮  sildenafil,(prescription) 0.215
🕮  oxybutynin chloride,(prescription) 0.215

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
🕮  fructo-oligosaccharides (prebiotic) 0.884
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.858
soy 0.723
🕮  resveratrol (grape seed/polyphenols/red wine) 0.645
arabinogalactan (prebiotic) 0.639
🕮  lactobacillus plantarum (probiotics) 0.581
resistant starch 0.535
raffinose(sugar beet) 0.532
🕮  lactulose 0.511
bacillus subtilis (probiotics) 0.506
🕮  lactobacillus acidophilus (probiotics) 0.504
jerusalem artichoke (prebiotic) 0.447
wheat bran 0.437
🕮  Glucomannan 0.434
🕮  Burdock Root 0.398
🕮  galacto-oligosaccharides (prebiotic) 0.388
clostridium butyricum (probiotics),Miya,Miyarisan 0.386
almonds/ almond skins 0.373
sesame cake/meal 0.366
apple 0.355
🕮  gum arabic (prebiotic) 0.336
Conjugated Linoleic Acid 0.328
green tea 0.326
🕮  lactobacillus paracasei (probiotics) 0.31
whey 0.305
barley,oat 0.301
ketogenic diet 0.299
fish oil 0.298
🕮  oligosaccharides (prebiotic) 0.294
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.287
blueberry 0.269
🕮  zinc 0.264
pomegranate 0.264
mediterranean diet 0.259
red wine 0.258
🕮  noni 0.257
high fiber diet 0.256
wheat 0.254
chondrus crispus,red sea weed 0.254
Lactobacillus Johnsonii (probiotic) 0.254
barley 0.253
proton-pump inhibitors (prescription) 0.252
🕮  pectin 0.249
magnesium 0.247
daesiho-tang 0.247
🕮  bifidobacterium lactis bb12 (probiotics) 0.236
🕮  Cacao 0.231
🕮  rifaximin (antibiotic)s 0.227
navy bean 0.214
fasting 0.204
pediococcus acidilactic (probiotic) 0.203
rosmarinus officinalis,rosemary 0.201
pea (fiber, protein) 0.198
quercetin 0.192
🕮  lactobacillus reuteri (probiotics) 0.19
🕮  enterococcus faecium (probiotic) 0.185
oats 0.185
oregano (origanum vulgare, oil) | 0.181
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 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.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.


The awesome web hosting site that we use. Try it if you need to host (or unhappy with current provider)