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: Sleep: Waking up early in the morning (e.g. 3 AM)_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) 0.52  📏
🕮  neomycin (antibiotic)s[CFS] 0.505
🕮  amoxicillin (antibiotic)s[CFS] 0.486
🕮  N-Acetyl Cysteine (NAC), 0.463  📏
🕮  metronidazole (antibiotic)s[CFS] 0.438
🕮  loperamide hydrochloride,(prescription) 0.436
Caffeine 0.426
🕮  spectinomycin dihydrochloride (antibiotic) 0.42
🕮  itraconazole,(prescription) 0.418
🕮  sulfamethoxazole (antibiotic) 0.418
🕮  naproxen,(prescription) 0.411
🕮  ibuprofen 0.411
🕮  carbamazepine,(prescription) 0.405
🕮  risperidone,(prescription) 0.398
sucralose 0.396  📏
🕮  ketoconazole,(prescription) 0.395
🕮  Vitamin B1,thiamine hydrochloride 0.395  📏
🕮  streptomycin (antibiotic)s 0.379
prednisone,(prescription) 0.377
🕮  Vitamin B-12 0.377  📏
🕮  ofloxacin (antibiotic)s 0.376
🕮  levocabastine hydrochloride,(prescription) 0.373
🕮  repaglinide,(prescription) 0.373
clocortolone pivalate,(prescription) 0.373
🕮  sildenafil,(prescription) 0.373
🕮  oxybutynin chloride,(prescription) 0.373
🕮  sotalol hydrochloride,(prescription) 0.373
🕮  sulfaquinoxaline sodium salt,(prescription) 0.373
🕮  sulfadimethoxine (antibiotic) 0.373
propoxycaine hydrochloride,(prescription) 0.373
🕮  aniracetam,(prescription) 0.373
lanatoside c,(prescription) 0.373
🕮  scopolamine hydrochloride,(prescription) 0.373
methylatropine nitrate,(prescription) 0.373
do 897/99 non-drug 0.373
🕮  proscillaridin a,(prescription) 0.373
diperodon hydrochloride non-drug 0.373
🕮  chlormadinone acetate,(prescription) 0.373
🕮  oxaprozin,(prescription) 0.373
🕮  indapamide,(prescription) 0.373
🕮  deferoxamine mesylate,(prescription) 0.373
azacyclonol,(prescription) 0.373
🕮  clobetasol propionate,(prescription) 0.373
🕮  balsalazide sodium,(prescription) 0.373
🕮  imipramine hydrochloride,(prescription) 0.373
levopropoxyphene napsylate non-drug 0.373
🕮  cyclopenthiazide,(prescription) 0.373
🕮  sulfaphenazole (antibiotic) 0.373
(+;-)-synephrine,(prescription) 0.373
🕮  sibutramine hcl,(prescription) 0.373
canrenoic acid potassium salt,(prescription) 0.373
🕮  dropropizine (r;s),(prescription) 0.373
🕮  argatroban,(prescription) 0.373
🕮  dimenhydrinate,(prescription) 0.373
🕮  lisinopril,(prescription) 0.373
pentetic acid non-drug 0.373
🕮  budesonide,(prescription) 0.373
🕮  flunisolide,(prescription) 0.373
(s)-(-)-atenolol,(prescription) 0.373
imidurea non-drug 0.373

To Remove or Decrease
Modifier Confidence 📹
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 1
🕮  inulin (prebiotic) 0.995
arabinogalactan (prebiotic) 0.829
Slippery Elm 0.666
🕮  lactobacillus plantarum (probiotics) 0.591
soy 0.549
resistant starch 0.547
🕮  resveratrol (grape seed/polyphenols/red wine) 0.539
wheat bran 0.528
🕮  Burdock Root 0.528
red wine 0.508
🕮  fructo-oligosaccharides (prebiotic) 0.487
🕮  lactobacillus acidophilus (probiotics) 0.45
🕮  Pulses 0.408
🕮  berberine 0.406
🕮  lactulose 0.386
triphala 0.372
🕮  galacto-oligosaccharides (prebiotic) 0.353
🕮  vitamin d 0.35
almonds/ almond skins 0.345
mediterranean diet 0.343
apple 0.339
raffinose(sugar beet) 0.334
ketogenic diet 0.326
🕮  pectin 0.312
pea (fiber, protein) 0.308
proton-pump inhibitors (prescription) 0.301
xylan (prebiotic) 0.285
🕮  lactobacillus fermentum (probiotics) 0.284
jerusalem artichoke (prebiotic) 0.279
fasting 0.274
sesame cake/meal 0.272
plantago asiatica l. 0.271
saccharin 0.263
🕮  oligosaccharides (prebiotic) 0.261
🕮  saccharomyces boulardii (probiotics) 0.261
wheat 0.261
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.252
non-starch polysaccharides 0.251
barley 0.248
🕮  Glucomannan 0.243
resistant maltodextrin 0.242
🕮  gum arabic (prebiotic) 0.237
Lactobacillus Johnsonii (probiotic) 0.235
Conjugated Linoleic Acid 0.231
fat 0.231
clostridium butyricum (probiotics),Miya,Miyarisan 0.228
walnuts 0.227
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.226
magnesium 0.223
l-citrulline 0.222
daesiho-tang 0.22
🕮  bifidobacterium lactis bb12 (probiotics) 0.219
laminaria digitata,oarweed - seaweed 0.214
gallic acid (food additive) 0.213
high red meat 0.208
barley,oat 0.206
bacillus subtilis (probiotics) 0.204
🕮  lactobacillus paracasei (probiotics) 0.203
fish oil 0.2
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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