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: Neurocognitive: Slowness of thought_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] 0.372
🕮  Hesperidin (polyphenol) 0.341  📏
🕮  spectinomycin dihydrochloride (antibiotic) 0.293
🕮  high-fat diets 0.279
chitosan,(sugar) 0.268  📏
🕮  chloramphenicol (antibiotic)s 0.262
🕮  cefaclor hydrate (antibiotic) 0.252
🕮  nitrofurantoin (antibiotic) 0.247
🕮  N-Acetyl Cysteine (NAC), 0.244  📏
🕮  Vitamin B-12 0.241  📏
🕮  naproxen,(prescription) 0.238
sucralose 0.237  📏
🕮  hyoscyamine (l),(prescription) 0.229
🕮  atorvastatin (prescription) 0.229  📏
🕮  carbamazepine,(prescription) 0.225
🕮  itraconazole,(prescription) 0.224
🕮  sulfamethoxazole (antibiotic) 0.224
🕮  ibuprofen 0.222
🕮  reboxetine mesylate,(prescription) 0.221
🕮  loperamide hydrochloride,(prescription) 0.219
chlorphensin carbamate,(prescription) 0.218
🕮  phentolamine hydrochloride,(prescription) 0.218
🕮  amcinonide,(prescription) 0.218
🕮  tizanidine hcl,(prescription) 0.218
🕮  verapamil hydrochloride,(prescription) 0.218
fluocinolone acetonide,(prescription) 0.218
iobenguane sulfate,(prescription) 0.218
🕮  idoxuridine,(prescription) 0.218
benoxinate hydrochloride,(prescription) 0.218
dipivefrin hydrochloride,(prescription) 0.218
🕮  celecoxib,(prescription) 0.218
🕮  dihydrostreptomycin sulfate (antibiotic) 0.218
clavulanate potassium salt (antibiotic) 0.218
🕮  sulfapyridine (antibiotic) 0.218
dizocilpine maleate,(prescription) 0.218
mianserine hydrochloride,(prescription) 0.218
🕮  thiethylperazine dimalate,(prescription) 0.218
🕮  piroxicam,(prescription) 0.218
dichlorphenamide,(prescription) 0.218
🕮  theophylline monohydrate,(prescription) 0.218
luteolin (flavonoid) 0.218  📏
🕮  alfuzosin hydrochloride,(prescription) 0.218
🕮  fluvoxamine maleate,(prescription) 0.218
🕮  oxaprozin,(prescription) 0.218
dicyclomine hydrochloride,(prescription) 0.218
🕮  neostigmine bromide,(prescription) 0.218
🕮  diflorasone diacetate,(prescription) 0.218
🕮  tramadol hydrochloride,(prescription) 0.218
🕮  enalapril maleate,(prescription) 0.218
🕮  balsalazide sodium,(prescription) 0.218
🕮  lamivudine,(prescription) 0.218
🕮  prednicarbate,(prescription) 0.218
viloxazine hydrochloride,(prescription) 0.218
🕮  ranitidine hydrochloride,(prescription) 0.218
🕮  clemastine fumarate,(prescription) 0.218
🕮  milrinone,(prescription) 0.218
clodronate,(prescription) 0.218
cromolyn disodium salt,(prescription) 0.218
🕮  pralidoxime chloride,(prescription) 0.218
eucatropine hydrochloride non-drug 0.218

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.808
🕮  fructo-oligosaccharides (prebiotic) 0.689
arabinogalactan (prebiotic) 0.64
soy 0.604
🕮  resveratrol (grape seed/polyphenols/red wine) 0.564
resistant starch 0.506
🕮  lactobacillus acidophilus (probiotics) 0.455
🕮  lactulose 0.437
raffinose(sugar beet) 0.427
🕮  lactobacillus plantarum (probiotics) 0.402
jerusalem artichoke (prebiotic) 0.393
wheat bran 0.388
🕮  Burdock Root 0.373
🕮  Glucomannan 0.346
bacillus subtilis (probiotics) 0.336
🕮  galacto-oligosaccharides (prebiotic) 0.335
almonds/ almond skins 0.32
sesame cake/meal 0.319
apple 0.305
clostridium butyricum (probiotics),Miya,Miyarisan 0.304
🕮  pectin 0.285
red wine 0.282
ketogenic diet 0.272
barley,oat 0.27
wheat 0.264
🕮  gum arabic (prebiotic) 0.261
high fiber diet 0.244
🕮  oligosaccharides (prebiotic) 0.244
mediterranean diet 0.242
🕮  zinc 0.236
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.232
🕮  Pulses 0.216
Conjugated Linoleic Acid 0.216
daesiho-tang 0.215
🕮  noni 0.213
🕮  bifidobacterium lactis bb12 (probiotics) 0.212
blueberry 0.212
fish oil 0.209
chondrus crispus,red sea weed 0.209
green tea 0.206
navy bean 0.205
🕮  rifaximin (antibiotic)s 0.202
magnesium 0.196
l-proline 0.189
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.188
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.184
fasting 0.182
barley 0.181
🕮  lactobacillus paracasei (probiotics) 0.181
🕮  lactobacillus reuteri (probiotics) 0.18
Lactobacillus Johnsonii (probiotic) 0.18
pea (fiber, protein) 0.178
plantago asiatica l. 0.173
oats 0.173
🕮  galactose (milk sugar) 0.172
whey 0.172
Slippery Elm 0.169
quercetin 0.162
chicory (prebiotic) 0.157
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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