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 : Headaches_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 0.667
foeniculum vulgare,fennel 0.666
🕮  imipenem (antibiotic)s 0.602
🕮  ciprofloxacin (antibiotic)s[CFS] 0.562
🕮  ofloxacin (antibiotic)s 0.542
oregano (origanum vulgare, oil) | 0.528
🕮  amoxicillin (antibiotic)s[CFS] 0.504
🕮  meropenem (antibiotic)s 0.5
🕮  Vitamin B-12 0.496  📏
🕮  piperacillin-tazobactam (antibiotic)s 0.483
🕮  tobramycin (antibiotic)s 0.466
clostridium butyricum (probiotics),Miya,Miyarisan 0.451  📏
intesti-bacteriophage 0.432
🕮  hypericin, St. John's Wort 0.426
🕮  cefotaxime sodium salt (antibiotic) 0.42
🕮  garlic (allium sativum) 0.406  📏
🕮  hyoscyamine (l),(prescription) 0.401
🕮  benzylpenicillin sodium (antibiotic) 0.399
🕮  reserpine,(prescription) 0.383
🕮  lactobacillus reuteri (probiotics) 0.382  📏
🕮  trimethoprim (antibiotic)s 0.371
🕮  Vitamin B1,thiamine hydrochloride 0.368  📏
nigella sativa seed (black cumin) 0.358  📏
🕮  aztreonam (antibiotic) 0.354
🕮  Hesperidin (polyphenol) 0.353  📏
🕮  loperamide hydrochloride,(prescription) 0.348
🕮  acarbose,(prescription) 0.346
🕮  atorvastatin (prescription) 0.342  📏
🕮  ampicillin (antibiotic)s[CFS] 0.341
🕮  lactobacillus plantarum (probiotics) 0.341  📏
Caffeine 0.339
🕮  N-Acetyl Cysteine (NAC), 0.339  📏
whey 0.333  📏
🕮  chloramphenicol (antibiotic)s 0.332
🕮  ceftazidime (antibiotic)s 0.331
🕮  itraconazole,(prescription) 0.33
🕮  alverine citrate salt,(prescription) 0.327
cinnamon (oil. spice) 0.325  📏
laser trilobum l.,kefe cumin 0.323
moxalactam disodium salt (antibiotic) 0.316
🕮  pioglitazone,(prescription) 0.313
🕮  testosterone propionate,(prescription) 0.313
🕮  tripelennamine hydrochloride,(prescription) 0.313
trioxsalen,(prescription) 0.313
🕮  hydrochlorothiazide,(prescription) 0.313
🕮  ganciclovir,(prescription) 0.313
🕮  captopril,(prescription) 0.313
🕮  allantoin non-drug 0.313
sulmazole non-drug 0.313
mevalonic-d; l acid lactone non-drug 0.313
🕮  pramipexole,(prescription) 0.313
🕮  mizolastine,(prescription) 0.313
🕮  fenoterol hydrobromide,(prescription) 0.313
epiandrosterone,(prescription) 0.313
acetohexamide,(prescription) 0.313
pepstatin a non-drug 0.313
🕮  phthalylsulfathiazole (antibiotic) 0.313
🕮  mephenesin,(prescription) 0.313
🕮  furosemide,(prescription) 0.313

To Remove or Decrease
Modifier Confidence 📹
Slippery Elm 0.714
aspartame (sweetner) 0.618
🕮  Reduce choline (Beef, Chicken Eggs) 0.394
arabinogalactan (prebiotic) 0.352
red wine 0.306
blueberry 0.284
penicillin-moxalactam (antibiotic)s 0.26
🕮  berberine 0.253
resistant starch 0.243
non-starch polysaccharides 0.242
proton-pump inhibitors (prescription) 0.237
🕮  Pulses 0.235
🕮  inulin (prebiotic) 0.223
fasting 0.208
🕮  saccharomyces boulardii (probiotics) 0.207
macrolide ((antibiotic)s) 0.206
levan 0.189
symbioflor 2 e.coli probiotics 0.184
navy bean 0.169
sulfonamide (antibiotic)s 0.164
l-proline 0.164
walnuts 0.163
ku ding cha tea 0.162
carboxymethyl cellulose (prebiotic) 0.161
xylan (prebiotic) 0.161
saccharin 0.145
mediterranean diet 0.143
wheat bran 0.143
🕮  ß-glucan 0.141
sodium butyrate 0.138
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.129
🕮  tetracycline (antibiotic)s 0.127
🕮  iron 0.124
🕮  oligosaccharides (prebiotic) 0.123
🕮  pectin 0.122
red alga Laurencia tristicha 0.117
high fiber diet 0.115
triphala 0.112
Ferric citrate 0.111
🕮  galacto-oligosaccharides (prebiotic) 0.108
resistant maltodextrin 0.108
a-glucosidase inhibitors 0.106
lividomycin (antibiotic)s 0.102
🕮  isepamicin (antibiotic)s 0.102
green-lipped mussel 0.102
🕮  alcoholic beverages 0.096
l-citrulline 0.095
🕮  netilmicin (antibiotic)s 0.092
acriflavin (prescription) 0.092
🕮  dibekacin (antibiotic)s 0.092
catecholamines (polyphenol) 0.092
colinfant e.coli probiotics 0.092
glycylcycline (antibiotic)s 0.092
l-glutamic acid 0.092
l-serine 0.092
beef 0.092
carob 0.092
cadium 0.092
cephamycin (antibiotic)s 0.092
a-glucosidase inhibitors (prescription) 0.092
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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