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: Short-term memory issues_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
🕮  imipenem (antibiotic)s 0.824
🕮  piperacillin-tazobactam (antibiotic)s 0.745
🕮  thyme (thymol, thyme oil) 0.694
foeniculum vulgare,fennel 0.661
🕮  amoxicillin (antibiotic)s[CFS] 0.657
🕮  ciprofloxacin (antibiotic)s[CFS] 0.653
🕮  vancomycin (antibiotic)[CFS] 0.652
🕮  meropenem (antibiotic)s 0.646
🕮  benzylpenicillin sodium (antibiotic) 0.644
cinnamon (oil. spice) 0.568  📏
🕮  ampicillin (antibiotic)s[CFS] 0.547
intesti-bacteriophage 0.535
🕮  tobramycin (antibiotic)s 0.526
🕮  garlic (allium sativum) 0.505  📏
syzygium aromaticum (clove) 0.496
🕮  hyoscyamine (l),(prescription) 0.496
🕮  Hesperidin (polyphenol) 0.485  📏
laser trilobum l.,kefe cumin 0.483
🕮  amikacin (antibiotic)s 0.469
🕮  Vitamin B-12 0.461  📏
neem 0.426  📏
🕮  hypericin, St. John's Wort 0.401
🕮  N-Acetyl Cysteine (NAC), 0.4  📏
vitamin B3,niacin 0.394  📏
Curcumin 0.388  📏
🕮  naproxen,(prescription) 0.387
🕮  reserpine,(prescription) 0.385
oregano (origanum vulgare, oil) | 0.385
🕮  sulfamethoxazole (antibiotic) 0.372
🕮  loperamide hydrochloride,(prescription) 0.363
🕮  itraconazole,(prescription) 0.362
Caffeine 0.359
🕮  ofloxacin (antibiotic)s 0.359
peppermint (spice, oil) 0.356
🕮  alverine citrate salt,(prescription) 0.355
🕮  ketoconazole,(prescription) 0.352
prednisone,(prescription) 0.35
oxalamine citrate salt,(prescription) 0.347
aminocaproic acid,(prescription) 0.347
🕮  perindopril,(prescription) 0.347
🕮  zopiclone,(prescription) 0.347
antipyrine,(prescription) 0.347
🕮  norgestrel-(-)-d,(prescription) 0.347
🕮  memantine hydrochloride,(prescription) 0.347
mephenytoin,(prescription) 0.347
cortisone,(prescription) 0.347
🕮  sulfamerazine (antibiotic) 0.347
butylscopolammonium (n-) bromide,(prescription) 0.347
🕮  carisoprodol,(prescription) 0.347
🕮  flunixin meglumine,(prescription) 0.347
oxantel pamoate,(prescription) 0.347
🕮  carbarsone non-drug 0.347
🕮  (-)-emtricitabine,(prescription) 0.347
🕮  spironolactone,(prescription) 0.347
🕮  pranoprofen,(prescription) 0.347
dimethadione,(prescription) 0.347
🕮  benzonatate,(prescription) 0.347
isosorbide mononitrate,(prescription) 0.347
🕮  topiramate,(prescription) 0.347

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 0.74
proton-pump inhibitors (prescription) 0.722
🕮  resveratrol (grape seed/polyphenols/red wine) 0.66
🕮  fructo-oligosaccharides (prebiotic) 0.631
arabinogalactan (prebiotic) 0.624
raffinose(sugar beet) 0.616
🕮  lactulose 0.551
sesame cake/meal 0.449
wheat bran 0.438
aspartame (sweetner) 0.394
🕮  Burdock Root 0.386
jerusalem artichoke (prebiotic) 0.365
almonds/ almond skins 0.356
navy bean 0.348
soy 0.332
Slippery Elm 0.33
apple 0.32
🕮  galacto-oligosaccharides (prebiotic) 0.32
macrolide ((antibiotic)s) 0.314
red wine 0.311
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.307
🕮  Reduce choline (Beef, Chicken Eggs) 0.299
🕮  oligosaccharides (prebiotic) 0.297
green-lipped mussel 0.285
barley,oat 0.28
bacillus subtilis (probiotics) 0.278
blueberry 0.25
vsl#3 (probiotics) 0.246
🕮  gum arabic (prebiotic) 0.245
magnesium 0.245
Conjugated Linoleic Acid 0.238
🕮  lactobacillus acidophilus (probiotics) 0.237
resistant starch 0.237
ku ding cha tea 0.236
daesiho-tang 0.229
🕮  noni 0.229
🕮  Pulses 0.223
high fiber diet 0.222
chondrus crispus,red sea weed 0.207
l-proline 0.203
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.196
lividomycin (antibiotic)s 0.194
🕮  isepamicin (antibiotic)s 0.194
mediterranean diet 0.194
penicillin-moxalactam (antibiotic)s 0.187
pea (fiber, protein) 0.186
🕮  galactose (milk sugar) 0.184
carob 0.175
non-starch polysaccharides 0.172
🕮  pectin 0.172
🕮  netilmicin (antibiotic)s 0.167
🕮  Glucomannan 0.165
grape polyphenols 0.16
fasting 0.16
a-glucosidase inhibitors 0.157
sodium butyrate 0.156
lincosamide (antibiotic)s 0.152
dietary phytoestrogens (isoflavones) 0.15
fat 0.15
vitamin a 0.149
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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