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: Sleep: Need to nap daily_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 0.813
🕮  hyoscyamine (l),(prescription) 0.755
🕮  amoxicillin (antibiotic)s[CFS] 0.673
🕮  vancomycin (antibiotic)[CFS] 0.66
🕮  benzylpenicillin sodium (antibiotic) 0.649
🕮  streptomycin (antibiotic)s 0.62
🕮  risperidone,(prescription) 0.539
🕮  atorvastatin (prescription) 0.537  📏
🕮  estradiol valerate,(prescription) 0.531
🕮  Vitamin B1,thiamine hydrochloride 0.529  📏
🕮  Hesperidin (polyphenol) 0.524  📏
imipenem (antibiotic)s 0.523
🕮  garlic (allium sativum) 0.511  📏
🕮  loperamide hydrochloride,(prescription) 0.507
prednisone,(prescription) 0.5
🕮  N-Acetyl Cysteine (NAC), 0.495  📏
🕮  Vitamin B-12 0.494  📏
Caffeine 0.49
flurandrenolide,(prescription) 0.489
(+;-)-octopamine hydrochloride,(prescription) 0.489
🕮  probenecid,(prescription) 0.489
indomethacin,(prescription) 0.489
🕮  estriol,(prescription) 0.489
🕮  tolnaftate,(prescription) 0.489
🕮  pivmecillinam hydrochloride (antibiotic) 0.489
🕮  quetiapine hemifumarate,(prescription) 0.489
🕮  gestrinone,(prescription) 0.489
amyleine hydrochloride,(prescription) 0.489
isopyrin hydrochloride non-drug 0.489
🕮  crotamiton,(prescription) 0.489
🕮  benfluorex hydrochloride,(prescription) 0.489
hydroxytacrine maleate (r;s),(prescription) 0.489
tetrahydroxy-1;4-quinone monohydrate non-drug 0.489
🕮  sulfaguanidine (antibiotic) 0.489
🕮  paroxetine hydrochloride,(prescription) 0.489
6-furfurylaminopurine non-drug 0.489
🕮  metoclopramide monohydrochloride,(prescription) 0.489
🕮  ethotoin,(prescription) 0.489
🕮  isoniazid (antibiotic) 0.489
sulfameter (antibiotic) 0.489
ethynylestradiol 3-methyl ether,(prescription) 0.489
homosalate non-drug 0.489
🕮  saquinavir mesylate,(prescription) 0.489
🕮  hydroxychloroquine sulfate,(prescription) 0.489
🕮  ondansetron hydrochloride,(prescription) 0.489
🕮  zonisamide,(prescription) 0.489
🕮  fulvestrant,(prescription) 0.489
🕮  amfepramone hydrochloride,(prescription) 0.489
🕮  fluoxetine hydrochloride,(prescription) 0.489
🕮  tolmetin sodium salt dihydrate,(prescription) 0.489
🕮  piribedil hydrochloride,(prescription) 0.489
🕮  emedastine,(prescription) 0.489
🕮  rimexolone,(prescription) 0.489
🕮  ciprofibrate,(prescription) 0.489
🕮  ramipril,(prescription) 0.489
🕮  olopatadine hydrochloride,(prescription) 0.489
🕮  methacholine chloride,(prescription) 0.489
dioxybenzone non-drug 0.489
(s)-propranolol hydrochloride,(prescription) 0.489

To Remove or Decrease
Modifier Confidence 📹
🕮  lactulose 0.528
proton-pump inhibitors (prescription) 0.519
arabinogalactan (prebiotic) 0.514
raffinose(sugar beet) 0.419
vsl#3 (probiotics) 0.414
barley,oat 0.315
🕮  inulin (prebiotic) 0.306
saccharomyces cerevisiae (probiotics) 0.3
ku ding cha tea 0.291
🕮  berberine 0.289
🕮  oligosaccharides (prebiotic) 0.284
apple 0.28
resistant starch 0.276
gynostemma pentaphyllum (Jiaogulan) 0.272
chondrus crispus,red sea weed 0.256
red wine 0.248
fish oil 0.246
bacillus subtilis (probiotics) 0.236
🕮  Reduce choline (Beef, Chicken Eggs) 0.227
green-lipped mussel 0.217
🕮  fructo-oligosaccharides (prebiotic) 0.214
🕮  Cacao 0.21
Sijunzi decoction 0.209
sarcodiotheca gaudichaudii (red sea weed) 0.203
🕮  norfloxacin (antibiotic)s 0.199
amaranth 0.197
🕮  zinc 0.196
🕮  lactobacillus gasseri (probiotics) 0.193
palm kernel meal 0.19
lincosamide (antibiotic)s 0.185
lividomycin (antibiotic)s 0.184
butirosin 0.184
🕮  isepamicin (antibiotic)s 0.184
🕮  lincomycin (antibiotic)s 0.182
macrolide ((antibiotic)s) 0.179
🕮  pectin 0.167
Slippery Elm 0.164
🕮  Pulses 0.159
🕮  Bofutsushosan 0.158
ketogenic diet 0.147
non-starch polysaccharides 0.145
🕮  glucose (sugar) 0.141
mediterranean diet 0.135
saccharomyces boulardii (probiotics) 0.133
green tea 0.131
Conjugated Linoleic Acid 0.13
🕮  fruit 0.127
clostridium butyricum (probiotics),Miya,Miyarisan 0.126
almonds/ almond skins 0.126
wheat 0.125
fat 0.12
jerusalem artichoke (prebiotic) 0.117
resistant maltodextrin 0.117
cholic acid (bile acid) 0.116
animal-based diet 0.115
high fiber diet 0.114
barley 0.114
🕮  lactobacillus acidophilus (probiotics) 0.114
chemotherapy (prescription) 0.112
pea (fiber, protein) 0.112
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.


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