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: Post-exertional malaise: Post-exertional malaise_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
🕮  tobramycin (antibiotic)s 0.729
🕮  benzylpenicillin sodium (antibiotic) 0.642
🕮  piperacillin-tazobactam (antibiotic)s 0.611
🕮  hyoscyamine (l),(prescription) 0.596
🕮  dopamine (prescription) 0.544
🕮  streptomycin (antibiotic)s 0.518
🕮  Vitamin B1,thiamine hydrochloride 0.512  📏
🕮  meropenem (antibiotic)s 0.502
🕮  risperidone,(prescription) 0.494
🕮  atorvastatin (prescription) 0.48  📏
🕮  acarbose,(prescription) 0.466
🕮  melatonin supplement 0.466  📏
🕮  ampicillin (antibiotic)s[CFS] 0.459
🕮  N-Acetyl Cysteine (NAC), 0.45  📏
🕮  Hesperidin (polyphenol) 0.45  📏
Caffeine 0.443
🕮  imipenem (antibiotic)s 0.438
vitamin B3,niacin 0.436  📏
🕮  trimethoprim (antibiotic)s 0.432
🕮  amoxicillin (antibiotic)s[CFS] 0.427
🕮  metolazone,(prescription) 0.425
🕮  Vitamin B6,pyridoxine hydrochloride 0.425  📏
🕮  fluticasone propionate,(prescription) 0.425
fentiazac,(prescription) 0.425
🕮  biperiden hydrochloride,(prescription) 0.425
🕮  benfotiamine,(prescription) 0.425  📏
flumethasone,(prescription) 0.425
adrenosterone,(prescription) 0.425
🕮  iopromide,(prescription) 0.425
dehydroisoandosterone 3-acetate,(prescription) 0.425
🕮  etilefrine hydrochloride,(prescription) 0.425
flubendazol,(prescription) 0.425
norcyclobenzaprine,(prescription) 0.425
🕮  bromhexine hydrochloride,(prescription) 0.425
etifenin,(prescription) 0.425
🕮  sulfasalazine,(prescription) 0.425
🕮  trimetazidine dihydrochloride,(prescription) 0.425
medrysone,(prescription) 0.425
🕮  diloxanide furoate,(prescription) 0.425
sulfamethazine sodium salt (antibiotic) 0.425
🕮  homatropine hydrobromide (r;s),(prescription) 0.425
gbr 12909 dihydrochloride,(prescription) 0.425
cortisol acetate,(prescription) 0.425
🕮  benperidol,(prescription) 0.425
oxfendazol,(prescription) 0.425
pregnenolone non-drug 0.425
🕮  ketorolac tromethamine,(prescription) 0.425
🕮  nicergoline,(prescription) 0.425
2-chloropyrazine non-drug 0.425
🕮  Vitamin B-12 0.425  📏
phenacetin,(prescription) 0.425
🕮  aminophylline,(prescription) 0.425
🕮  zidovudine; azt,(prescription) 0.425
🕮  thiocolchicoside,(prescription) 0.425
🕮  oxaprozin,(prescription) 0.425
dicyclomine hydrochloride,(prescription) 0.425
🕮  ivermectin,(prescription) 0.425
🕮  cyproterone acetate,(prescription) 0.425
🕮  ifosfamide,(prescription) 0.425

To Remove or Decrease
Modifier Confidence 📹
🕮  berberine 0.747
arabinogalactan (prebiotic) 0.637
aspartame (sweetner) 0.535
Slippery Elm 0.52
🕮  Pulses 0.482
red wine 0.473
mediterranean diet 0.465
🕮  saccharomyces boulardii (probiotics) 0.443
proton-pump inhibitors (prescription) 0.419
non-starch polysaccharides 0.342
ketogenic diet 0.335
🕮  lactobacillus plantarum (probiotics) 0.302
🕮  oligosaccharides (prebiotic) 0.297
l-citrulline 0.289
🕮  lactulose 0.284
vsl#3 (probiotics) 0.259
xylan (prebiotic) 0.258
🕮  inulin (prebiotic) 0.251
walnuts 0.245
🕮  lactobacillus rhamnosus gg (probiotics) 0.243
🕮  Reduce choline (Beef, Chicken Eggs) 0.238
🕮  epinephrine 0.234
heme 0.228
wheat bran 0.225
🕮  lactobacillus gasseri (probiotics) 0.224
fish oil 0.217
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.214
high carbohydrate diet 0.206
🕮  bifidobacterium longum (probiotics) 0.2
fat 0.197
pea (fiber, protein) 0.194
gynostemma pentaphyllum (Jiaogulan) 0.192
apple 0.191
triphala 0.175
raffinose(sugar beet) 0.174
sarcodiotheca gaudichaudii (red sea weed) 0.163
chondrus crispus,red sea weed 0.163
🕮  Cacao 0.161
l-proline 0.158
🕮  lactobacillus acidophilus (probiotics) 0.149
blueberry 0.147
🕮  glycine 0.145
vegetarians 0.143
barley,oat 0.143
resistant maltodextrin 0.143
low protein diet 0.136
barley 0.136
cranberry bean flour 0.135
palm kernel meal 0.132
amaranth 0.132
macrolide ((antibiotic)s) 0.131
levan 0.127
navy bean 0.123
fasting 0.122
🕮  bifidobacterium adolescentis,(probiotics) 0.122
lincosamide (antibiotic)s 0.119
dairy 0.116
🕮  ß-glucan 0.112
green-lipped mussel 0.108
Conjugated Linoleic Acid 0.104
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.


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