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: Infection: Lyme_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 0.987
🕮  hyoscyamine (l),(prescription) 0.839
🕮  piperacillin-tazobactam (antibiotic)s 0.787
🕮  amoxicillin (antibiotic)s[CFS] 0.777
🕮  tobramycin (antibiotic)s 0.722
🕮  Hesperidin (polyphenol) 0.705  📏
🕮  risperidone,(prescription) 0.689
🕮  Vitamin B1,thiamine hydrochloride 0.67  📏
🕮  benzylpenicillin sodium (antibiotic) 0.666
🕮  loperamide hydrochloride,(prescription) 0.665
🕮  atorvastatin (prescription) 0.662  📏
🕮  imipenem (antibiotic)s 0.658
🕮  vancomycin (antibiotic)[CFS] 0.657
🕮  estradiol valerate,(prescription) 0.646
🕮  itraconazole,(prescription) 0.634
🕮  carbamazepine,(prescription) 0.631
Caffeine 0.628
🕮  sulfamethoxazole (antibiotic) 0.619
🕮  N-Acetyl Cysteine (NAC), 0.618  📏
🕮  iopromide,(prescription) 0.616
dehydroisoandosterone 3-acetate,(prescription) 0.616
🕮  clonidine hydrochloride,(prescription) 0.616
🕮  felbinac,(prescription) 0.616
lithocholic acid non-drug 0.616
nomifensine maleate,(prescription) 0.616
🕮  escitalopram,(prescription) 0.616
🕮  heptaminol hydrochloride,(prescription) 0.616
🕮  adiphenine hydrochloride,(prescription) 0.616
🕮  nicorandil,(prescription) 0.616
🕮  oxcarbazepine,(prescription) 0.616
🕮  chlorothiazide,(prescription) 0.616
tremorine dihydrochloride non-drug 0.616
🕮  metergoline,(prescription) 0.616
pancuronium bromide,(prescription) 0.616
🕮  guanfacine hydrochloride,(prescription) 0.616
etidronic acid; disodium salt,(prescription) 0.616
🕮  etofenamate,(prescription) 0.616
🕮  reserpine,(prescription) 0.616
🕮  losartan,(prescription) 0.616
methapyrilene hydrochloride,(prescription) 0.616
🕮  bupivacaine hydrochloride,(prescription) 0.616
adrenosterone,(prescription) 0.616
🕮  bromperidol,(prescription) 0.616
🕮  penbutolol sulfate,(prescription) 0.616
meprylcaine hydrochloride,(prescription) 0.616
🕮  tranylcypromine hydrochloride,(prescription) 0.616
🕮  citalopram hydrobromide,(prescription) 0.616
🕮  tolnaftate,(prescription) 0.616
🕮  pivmecillinam hydrochloride (antibiotic) 0.616
🕮  quetiapine hemifumarate,(prescription) 0.616
🕮  gestrinone,(prescription) 0.616
amyleine hydrochloride,(prescription) 0.616
isopyrin hydrochloride non-drug 0.616
🕮  crotamiton,(prescription) 0.616
molindone hydrochloride,(prescription) 0.616
🕮  fludrocortisone acetate,(prescription) 0.616
🕮  mebeverine hydrochloride,(prescription) 0.616
🕮  pilocarpine nitrate,(prescription) 0.616
digoxigenin non-drug 0.616
🕮  isoflupredone acetate,(prescription) 0.616

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.799
Slippery Elm 0.763
proton-pump inhibitors (prescription) 0.638
raffinose(sugar beet) 0.598
🕮  lactulose 0.58
🕮  fructo-oligosaccharides (prebiotic) 0.511
🕮  oligosaccharides (prebiotic) 0.451
vsl#3 (probiotics) 0.45
🕮  berberine 0.447
🕮  saccharomyces boulardii (probiotics) 0.445
resistant starch 0.415
barley,oat 0.402
barley 0.401
red wine 0.4
🕮  lactobacillus acidophilus (probiotics) 0.377
apple 0.37
fish oil 0.368
bacillus subtilis (probiotics) 0.356
jerusalem artichoke (prebiotic) 0.333
chondrus crispus,red sea weed 0.328
🕮  Pulses 0.315
sesame cake/meal 0.311
ku ding cha tea 0.301
macrolide ((antibiotic)s) 0.293
gynostemma pentaphyllum (Jiaogulan) 0.289
🕮  resveratrol (grape seed/polyphenols/red wine) 0.285
high fiber diet 0.277
almonds/ almond skins 0.274
clostridium butyricum (probiotics),Miya,Miyarisan 0.267
green-lipped mussel 0.266
vitamin a 0.259
soy 0.252
🕮  Glucomannan 0.247
lincosamide (antibiotic)s 0.245
wheat 0.242
🕮  lactobacillus plantarum (probiotics) 0.235
pomegranate 0.232
🕮  lactobacillus rhamnosus gg (probiotics) 0.221
🕮  Cacao 0.221
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.216
amaranth 0.216
🕮  lactobacillus gasseri (probiotics) 0.214
🕮  galacto-oligosaccharides (prebiotic) 0.209
Sijunzi decoction 0.205
wheat bran 0.203
sarcodiotheca gaudichaudii (red sea weed) 0.202
walnuts 0.201
lividomycin (antibiotic)s 0.2
🕮  lincomycin (antibiotic)s 0.2
butirosin 0.2
🕮  isepamicin (antibiotic)s 0.2
magnesium 0.2
🕮  pectin 0.198
🕮  galactose (milk sugar) 0.197
resistant maltodextrin 0.197
palm kernel meal 0.195
bile (acid/salts) 0.194
ketogenic diet 0.193
🕮  bifidobacterium longum (probiotics) 0.191
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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