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 : Difficulty following things_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
🕮  amikacin (antibiotic)s 0.757
🕮  imipenem (antibiotic)s 0.749
foeniculum vulgare,fennel 0.699
🕮  Vitamin B-12 0.631  📏
🕮  ofloxacin (antibiotic)s 0.63
🕮  lactobacillus casei (probiotics) 0.609  📏
🕮  garlic (allium sativum) 0.601  📏
🕮  Hesperidin (polyphenol) 0.579  📏
🕮  ciprofloxacin (antibiotic)s[CFS] 0.554
🕮  piperacillin-tazobactam (antibiotic)s 0.551
🕮  hyoscyamine (l),(prescription) 0.534
🕮  amoxicillin (antibiotic)s[CFS] 0.528
🕮  tobramycin (antibiotic)s 0.52
🕮  reserpine,(prescription) 0.501
oregano (origanum vulgare, oil) | 0.496
🕮  benzylpenicillin sodium (antibiotic) 0.479
🕮  lactobacillus reuteri (probiotics) 0.465  📏
🕮  Vitamin B1,thiamine hydrochloride 0.461  📏
Caffeine 0.461
🕮  meropenem (antibiotic)s 0.46
🕮  chloramphenicol (antibiotic)s 0.459
intesti-bacteriophage 0.458
🕮  atorvastatin (prescription) 0.453  📏
🕮  sulfamethoxazole (antibiotic) 0.452
🕮  N-Acetyl Cysteine (NAC), 0.448  📏
🕮  acarbose,(prescription) 0.448
Vitamin C (ascorbic acid) 0.445  📏
🕮  alverine citrate salt,(prescription) 0.442
clostridium butyricum (probiotics),Miya,Miyarisan 0.438  📏
🕮  itraconazole,(prescription) 0.436
🕮  loperamide hydrochloride,(prescription) 0.436
🕮  hypericin, St. John's Wort 0.432
🕮  metronidazole (antibiotic)s[CFS] 0.428
🕮  aztreonam (antibiotic) 0.428
🕮  ribavirin,(prescription) 0.428
triflupromazine hydrochloride,(prescription) 0.428
🕮  carvedilol,(prescription) 0.428
🕮  methenamine (antibiotic) 0.428
acefylline,(prescription) 0.428
🕮  rimexolone,(prescription) 0.428
🕮  ciprofibrate,(prescription) 0.428
🕮  ramipril,(prescription) 0.428
🕮  carteolol hydrochloride,(prescription) 0.428
🕮  zalcitabine,(prescription) 0.428
🕮  podophyllotoxin,(prescription) 0.428
dehydrocholic acid non-drug 0.428
🕮  aripiprazole,(prescription) 0.428
guanadrel sulfate,(prescription) 0.428
(+)-isoproterenol (+)-bitartrate salt,(prescription) 0.428
proparacaine hydrochloride,(prescription) 0.428
🕮  chlorprothixene hydrochloride,(prescription) 0.428
🕮  amphotericin b,(prescription) 0.428
olmesartan,(prescription) 0.428
🕮  nalmefene hydrochloride,(prescription) 0.428
🕮  gemfibrozil,(prescription) 0.428
🕮  liranaftate,(prescription) 0.428
fluspirilen,(prescription) 0.428
🕮  nilvadipine,(prescription) 0.428
🕮  clenbuterol hydrochloride,(prescription) 0.428

To Remove or Decrease
Modifier Confidence 📹
aspartame (sweetner) 0.737
🕮  inulin (prebiotic) 0.644
resistant starch 0.578
arabinogalactan (prebiotic) 0.542
Slippery Elm 0.503
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.485
red wine 0.451
🕮  Reduce choline (Beef, Chicken Eggs) 0.396
blueberry 0.345
non-starch polysaccharides 0.336
macrolide ((antibiotic)s) 0.335
🕮  berberine 0.318
🕮  Pulses 0.312
l-proline 0.287
levan 0.279
resistant maltodextrin 0.277
penicillin-moxalactam (antibiotic)s 0.254
saccharin 0.252
ku ding cha tea 0.251
🕮  pectin 0.246
symbioflor 2 e.coli probiotics 0.243
xylan (prebiotic) 0.241
navy bean 0.24
🕮  lactulose 0.239
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.227
🕮  resveratrol (grape seed/polyphenols/red wine) 0.219
wheat bran 0.201
fasting 0.2
🕮  fructo-oligosaccharides (prebiotic) 0.2
vegetarians 0.191
🕮  galacto-oligosaccharides (prebiotic) 0.189
jerusalem artichoke (prebiotic) 0.187
🕮  Burdock Root 0.184
🕮  oligosaccharides (prebiotic) 0.177
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.166
🕮  iron 0.164
barley,oat 0.157
🕮  netilmicin (antibiotic)s 0.156
carob 0.153
mediterranean diet 0.152
green-lipped mussel 0.147
gynostemma pentaphyllum (Jiaogulan) 0.147
🕮  tetracycline (antibiotic)s 0.145
🕮  galactose (milk sugar) 0.139
bile (acid/salts) 0.138
proton-pump inhibitors (prescription) 0.138
a-glucosidase inhibitors 0.137
grape seed extract 0.134
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.134
l-citrulline 0.134
slow digestible carbohydrates 0.131
high fiber diet 0.13
plantago asiatica l. 0.13
Conjugated Linoleic Acid 0.13
almonds/ almond skins 0.128
stevia 0.128
sesame cake/meal 0.127
beef 0.122
catecholamines (polyphenol) 0.122
acriflavin (prescription) 0.122
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.
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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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