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: Autonomic: Heart rate increase after standing_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 0.704
🕮  piperacillin-tazobactam (antibiotic)s 0.65
🕮  imipenem (antibiotic)s 0.64
🕮  benzylpenicillin sodium (antibiotic) 0.602
🕮  amikacin (antibiotic)s 0.584
🕮  thyme (thymol, thyme oil) 0.583
🕮  vancomycin (antibiotic)[CFS] 0.575
🕮  meropenem (antibiotic)s 0.542
🕮  ciprofloxacin (antibiotic)s[CFS] 0.517
🕮  amoxicillin (antibiotic)s[CFS] 0.505
intesti-bacteriophage 0.485
cinnamon (oil. spice) 0.478  📏
fluoroquinolone (antibiotic)s 0.475
laser trilobum l.,kefe cumin 0.472
🕮  hyoscyamine (l),(prescription) 0.454
neem 0.45  📏
🕮  ofloxacin (antibiotic)s 0.435
🕮  hypericin, St. John's Wort 0.425
🕮  tobramycin (antibiotic)s 0.422
🕮  chloramphenicol (antibiotic)s 0.421
🕮  ampicillin (antibiotic)s[CFS] 0.415
syzygium aromaticum (clove) 0.41
Curcumin 0.389  📏
🕮  neomycin (antibiotic)s[CFS] 0.389
🕮  Hesperidin (polyphenol) 0.387  📏
nigella sativa seed (black cumin) 0.386  📏
🕮  garlic (allium sativum) 0.377  📏
🕮  azithromycin,(antibiotic)s[CFS] 0.377  📏
🕮  risperidone,(prescription) 0.374
oplopanax horridus(Devil's Club) 0.369
🕮  loperamide hydrochloride,(prescription) 0.367
🕮  N-Acetyl Cysteine (NAC), 0.364  📏
🕮  trimethoprim (antibiotic)s 0.363
🕮  minocycline (antibiotic)s[CFS] 0.363
🕮  jatropha curcas [can be poisonous] 0.358
vitamin B3,niacin 0.357  📏
🕮  naproxen,(prescription) 0.341
🕮  Vitamin B-12 0.34  📏
🕮  alverine citrate salt,(prescription) 0.339
moxalactam disodium salt (antibiotic) 0.334
🕮  dopamine (prescription) 0.332
🕮  melatonin supplement 0.331  📏
Caffeine 0.328
🕮  fenbendazole,(prescription) 0.323
🕮  reboxetine mesylate,(prescription) 0.323
🕮  spectinomycin dihydrochloride (antibiotic) 0.321
salvia officinalis (sage) 0.307
🕮  reserpine,(prescription) 0.306
🕮  cefotaxime sodium salt (antibiotic) 0.298
oregano (origanum vulgare, oil) | 0.298
midodrine hydrochloride,(prescription) 0.298
mepenzolate bromide,(prescription) 0.298
🕮  pridinol methanesulfonate salt,(prescription) 0.298
🕮  famotidine,(prescription) 0.298
🕮  piperidolate hydrochloride,(prescription) 0.298
pentolinium bitartrate,(prescription) 0.298
betazole hydrochloride,(prescription) 0.298
chlorpheniramine maleate,(prescription) 0.298
🕮  warfarin,(prescription) 0.298

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 0.693
proton-pump inhibitors (prescription) 0.602
arabinogalactan (prebiotic) 0.589
🕮  fructo-oligosaccharides (prebiotic) 0.414
🕮  lactulose 0.379
wheat bran 0.37
mediterranean diet 0.369
red wine 0.366
navy bean 0.356
Slippery Elm 0.354
🕮  Reduce choline (Beef, Chicken Eggs) 0.348
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.342
non-starch polysaccharides 0.336
blueberry 0.333
aspartame (sweetner) 0.325
🕮  Pulses 0.316
🕮  resveratrol (grape seed/polyphenols/red wine) 0.301
raffinose(sugar beet) 0.298
pea (fiber, protein) 0.292
resistant starch 0.291
apple 0.261
ketogenic diet 0.261
🕮  Burdock Root 0.24
fat 0.237
Conjugated Linoleic Acid 0.232
🕮  galacto-oligosaccharides (prebiotic) 0.225
xylan (prebiotic) 0.217
fasting 0.216
walnuts 0.215
🕮  pectin 0.207
bacillus subtilis (probiotics) 0.203
almonds/ almond skins 0.201
soy 0.2
l-citrulline 0.2
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.198
🕮  Prescript Assist (2018 Formula) 0.195
sesame cake/meal 0.192
Lactobacillus Johnsonii (probiotic) 0.182
barley,oat 0.176
🕮  gum arabic (prebiotic) 0.167
🕮  oligosaccharides (prebiotic) 0.164
jerusalem artichoke (prebiotic) 0.158
macrolide ((antibiotic)s) 0.154
penicillin-moxalactam (antibiotic)s 0.154
chemotherapy (prescription) 0.151
l-proline 0.149
plantago asiatica l. 0.145
resistant maltodextrin 0.144
🕮  bifidobacterium lactis bb12 (probiotics) 0.135
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.132
🕮  galactose (milk sugar) 0.131
magnesium 0.127
🕮  lactobacillus fermentum (probiotics) 0.126
sodium butyrate 0.123
🕮  lactobacillus acidophilus (probiotics) 0.122
blackcurrant 0.121
high fiber diet 0.12
🕮  lactobacillus gasseri (probiotics) 0.119
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.113
Alpha-Ketoglutarate 0.108
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)