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: DePaul University Fatigue Questionnaire : Nausea_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
🕮  piperacillin-tazobactam (antibiotic)s 0.828
imipenem (antibiotic)s 0.707
🕮  amoxicillin (antibiotic)s[CFS] 0.633
🕮  benzylpenicillin sodium (antibiotic) 0.599
🕮  ciprofloxacin (antibiotic)s[CFS] 0.528
🕮  hyoscyamine (l),(prescription) 0.504
🕮  vancomycin (antibiotic)[CFS] 0.479
🕮  garlic (allium sativum) 0.468  📏
🕮  ampicillin (antibiotic)s[CFS] 0.444
cinnamon (oil. spice) 0.442  📏
🕮  trimethoprim (antibiotic)s 0.423
neem 0.423  📏
fluoroquinolone (antibiotic)s 0.4
🕮  thyme (thymol, thyme oil) 0.397
syzygium aromaticum (clove) 0.374
🕮  minocycline (antibiotic)s[CFS] 0.368
🕮  Vitamin B-12 0.368  📏
🕮  tobramycin (antibiotic)s 0.366
foeniculum vulgare,fennel 0.356
🕮  meropenem (antibiotic)s 0.355
🕮  reserpine,(prescription) 0.35
🕮  cefotaxime sodium salt (antibiotic) 0.349
🕮  Hesperidin (polyphenol) 0.347  📏
🕮  streptomycin (antibiotic)s 0.332
🕮  aztreonam (antibiotic) 0.332
🕮  estradiol valerate,(prescription) 0.327
🕮  alverine citrate salt,(prescription) 0.314
🕮  loperamide hydrochloride,(prescription) 0.313
peppermint (spice, oil) 0.313
🕮  N-Acetyl Cysteine (NAC), 0.31  📏
🕮  Vitamin B1,thiamine hydrochloride 0.31  📏
🕮  naproxen,(prescription) 0.308
🕮  ofloxacin (antibiotic)s 0.308
🕮  atorvastatin (prescription) 0.303  📏
🕮  acarbose,(prescription) 0.302
fluocinolone acetonide,(prescription) 0.298
🕮  fluocinonide,(prescription) 0.298
🕮  fluorometholone,(prescription) 0.298
🕮  flurbiprofen,(prescription) 0.298
fluspirilen,(prescription) 0.298
🕮  flutamide,(prescription) 0.298
🕮  labetalol hydrochloride,(prescription) 0.298
🕮  ciprofibrate,(prescription) 0.298
🕮  clomipramine hydrochloride,(prescription) 0.298
🕮  clozapine,(prescription) 0.298
🕮  flunarizine dihydrochloride,(prescription) 0.298
🕮  flunisolide,(prescription) 0.298
🕮  flunixin meglumine,(prescription) 0.298
folinic acid calcium salt,(prescription) 0.298
🕮  fomepizole,(prescription) 0.298
🕮  formestane,(prescription) 0.298
🕮  formoterol fumarate,(prescription) 0.298
fosfosal,(prescription) 0.298
🕮  iohexol,(prescription) 0.298
🕮  iopamidol,(prescription) 0.298
iopanoic acid,(prescription) 0.298
🕮  iopromide,(prescription) 0.298
🕮  ioversol,(prescription) 0.298
ioxaglic acid,(prescription) 0.298

To Remove or Decrease
Modifier Confidence 📹
proton-pump inhibitors (prescription) 0.449
🕮  lactulose 0.357
arabinogalactan (prebiotic) 0.357
blueberry 0.269
vsl#3 (probiotics) 0.268
🕮  Reduce choline (Beef, Chicken Eggs) 0.267
macrolide ((antibiotic)s) 0.265
🕮  inulin (prebiotic) 0.249
aspartame (sweetner) 0.242
raffinose(sugar beet) 0.239
ku ding cha tea 0.209
🕮  Pulses 0.197
🕮  berberine 0.187
gynostemma pentaphyllum (Jiaogulan) 0.169
green-lipped mussel 0.169
apple 0.167
🕮  oligosaccharides (prebiotic) 0.163
red wine 0.161
lividomycin (antibiotic)s 0.159
🕮  isepamicin (antibiotic)s 0.159
barley,oat 0.158
xylan (prebiotic) 0.138
non-starch polysaccharides 0.138
fasting 0.134
fish oil 0.134
🕮  pectin 0.131
levan 0.127
🕮  high-fat diets 0.125
amaranth 0.119
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.117
🕮  fruit 0.115
resistant starch 0.114
lincosamide (antibiotic)s 0.114
Sijunzi decoction 0.112
🕮  galacto-oligosaccharides (prebiotic) 0.111
🕮  ß-glucan 0.11
butirosin 0.107
symbioflor 2 e.coli probiotics 0.103
palm kernel meal 0.103
General Biotics Equilibrium 0.101
chondrus crispus,red sea weed 0.101
Slippery Elm 0.097
high fiber diet 0.096
sodium butyrate 0.095
saccharomyces boulardii (probiotics) 0.094
a-glucosidase inhibitors 0.09
mediterranean diet 0.088
🕮  alcoholic beverages 0.088
fat 0.087
saccharomyces cerevisiae (probiotics) 0.082
l-proline 0.079
🕮  zinc 0.078
whole grain diet 0.078
sulfonamide (antibiotic)s 0.077
resistant maltodextrin 0.077
penicillin-moxalactam (antibiotic)s 0.076
🕮  lactobacillus gasseri (probiotics) 0.074
carob 0.073
helminth infection (prescription) 0.071
wheat bran 0.071
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.

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)