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: Neurological: Confusion_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 1
foeniculum vulgare,fennel 0.776
🕮  imipenem (antibiotic)s 0.678
🕮  piperacillin-tazobactam (antibiotic)s 0.635
🕮  thyme (thymol, thyme oil) 0.627
cinnamon (oil. spice) 0.583  📏
🕮  vancomycin (antibiotic)[CFS] 0.581
🕮  amikacin (antibiotic)s 0.568
🕮  amoxicillin (antibiotic)s[CFS] 0.545
oregano (origanum vulgare, oil) | 0.545
🕮  ciprofloxacin (antibiotic)s[CFS] 0.544
🕮  benzylpenicillin sodium (antibiotic) 0.537
🕮  meropenem (antibiotic)s 0.512
🕮  hyoscyamine (l),(prescription) 0.509
syzygium aromaticum (clove) 0.502
🕮  ampicillin (antibiotic)s[CFS] 0.501
Curcumin 0.494  📏
🕮  Vitamin B-12 0.489  📏
🕮  Hesperidin (polyphenol) 0.487  📏
🕮  tobramycin (antibiotic)s 0.483
🕮  garlic (allium sativum) 0.481  📏
intesti-bacteriophage 0.472
laser trilobum l.,kefe cumin 0.424
🕮  N-Acetyl Cysteine (NAC), 0.422  📏
vitamin B3,niacin 0.417  📏
🕮  reserpine,(prescription) 0.414
🕮  lactobacillus plantarum (probiotics) 0.413  📏
🕮  hypericin, St. John's Wort 0.41
🕮  alverine citrate salt,(prescription) 0.41
Caffeine 0.407
🕮  naproxen,(prescription) 0.398
🕮  neomycin (antibiotic)s[CFS] 0.397
neem 0.392  📏
🕮  ofloxacin (antibiotic)s 0.391
🕮  loperamide hydrochloride,(prescription) 0.391
🕮  carbamazepine,(prescription) 0.384
salvia officinalis (sage) 0.382
🕮  itraconazole,(prescription) 0.379
ethopropazine hydrochloride,(prescription) 0.377
🕮  ziprasidone,hydrochloride,(prescription) 0.375
(-)-isoproterenol hydrochloride,(prescription) 0.375
pramoxine hydrochloride,(prescription) 0.375
racepinephrine hcl,(prescription) 0.375
🕮  metolazone,(prescription) 0.375
🕮  buflomedil hydrochloride,(prescription) 0.375
🕮  mepivacaine hydrochloride,(prescription) 0.375
🕮  zaleplon,(prescription) 0.375
🕮  phenazopyridine hydrochloride,(prescription) 0.375
d-cycloserine (antibiotic) 0.375
🕮  dinoprost trometamol,(prescription) 0.375
🕮  vigabatrin,(prescription) 0.375
🕮  fluticasone propionate,(prescription) 0.375
fentiazac,(prescription) 0.375
🕮  biperiden hydrochloride,(prescription) 0.375
🕮  Vitamin B6,pyridoxine hydrochloride 0.375  📏
🕮  artemisinin,(prescription) 0.375
🕮  alfuzosin hydrochloride,(prescription) 0.375
🕮  fluvoxamine maleate,(prescription) 0.375
🕮  roxatidine acetate hcl,(prescription) 0.375
dipyrone,(prescription) 0.375

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 0.789
arabinogalactan (prebiotic) 0.677
🕮  fructo-oligosaccharides (prebiotic) 0.648
🕮  resveratrol (grape seed/polyphenols/red wine) 0.538
raffinose(sugar beet) 0.491
proton-pump inhibitors (prescription) 0.455
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.408
🕮  lactulose 0.407
sesame cake/meal 0.401
soy 0.4
navy bean 0.392
resistant starch 0.377
jerusalem artichoke (prebiotic) 0.354
wheat bran 0.35
aspartame (sweetner) 0.343
🕮  Burdock Root 0.34
red wine 0.33
almonds/ almond skins 0.328
Slippery Elm 0.326
high fiber diet 0.309
barley,oat 0.294
🕮  galacto-oligosaccharides (prebiotic) 0.291
blueberry 0.277
bacillus subtilis (probiotics) 0.269
🕮  Reduce choline (Beef, Chicken Eggs) 0.267
🕮  oligosaccharides (prebiotic) 0.265
🕮  noni 0.257
magnesium 0.243
apple 0.241
green-lipped mussel 0.241
l-proline 0.23
🕮  gum arabic (prebiotic) 0.228
🕮  lactobacillus acidophilus (probiotics) 0.219
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.213
daesiho-tang 0.211
Conjugated Linoleic Acid 0.209
chondrus crispus,red sea weed 0.198
macrolide ((antibiotic)s) 0.196
🕮  Pulses 0.192
ku ding cha tea 0.192
🕮  pectin 0.187
dietary phytoestrogens (isoflavones) 0.185
🕮  galactose (milk sugar) 0.177
mediterranean diet 0.177
🕮  netilmicin (antibiotic)s 0.176
wheat 0.162
sodium butyrate 0.161
d-ribose 0.16
pea (fiber, protein) 0.158
vsl#3 (probiotics) 0.157
plantago asiatica l. 0.156
carob 0.156
penicillin-moxalactam (antibiotic)s 0.153
grape polyphenols 0.15
fish oil 0.15
fasting 0.149
lividomycin (antibiotic)s 0.142
🕮  isepamicin (antibiotic)s 0.142
pomegranate 0.14
resistant maltodextrin 0.138
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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