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: Neurological-Sleep: Chaotic diurnal sleep rhythms (Erratic Sleep)_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 0.796
🕮  amoxicillin (antibiotic)s[CFS] 0.707
🕮  imipenem (antibiotic)s 0.706
🕮  amikacin (antibiotic)s 0.579
🕮  trimethoprim (antibiotic)s 0.573
🕮  acarbose,(prescription) 0.517
🕮  hyoscyamine (l),(prescription) 0.495
🕮  N-Acetyl Cysteine (NAC), 0.482  📏
🕮  benzylpenicillin sodium (antibiotic) 0.473
🕮  Hesperidin (polyphenol) 0.473  📏
🕮  tobramycin (antibiotic)s 0.466
🕮  aztreonam (antibiotic) 0.454
🕮  ofloxacin (antibiotic)s 0.451
Caffeine 0.449
🕮  Vitamin B1,thiamine hydrochloride 0.447  📏
fluoroquinolone (antibiotic)s 0.444
🕮  atorvastatin (prescription) 0.443  📏
🕮  risperidone,(prescription) 0.438
🕮  loperamide hydrochloride,(prescription) 0.437
🕮  itraconazole,(prescription) 0.433
🕮  carbamazepine,(prescription) 0.428
🕮  ceftazidime (antibiotic)s 0.419
🕮  sulfamethoxazole (antibiotic) 0.417
foeniculum vulgare,fennel 0.416
🕮  Vitamin B-12 0.416  📏
🕮  ciprofloxacin (antibiotic)s[CFS] 0.415
🕮  streptomycin (antibiotic)s 0.41
🕮  meropenem (antibiotic)s 0.41
lidoflazine,(prescription) 0.409
🕮  venlafaxine,(prescription) 0.409
canrenone,(prescription) 0.409
🕮  fomepizole,(prescription) 0.409
🕮  nizatidine,(prescription) 0.409
🕮  fenofibrate,(prescription) 0.409
🕮  metoprolol-(+;-) (+)-tartrate salt,(prescription) 0.409
🕮  iohexol,(prescription) 0.409
🕮  sulfisoxazole (antibiotic) 0.409
🕮  dexamethasone acetate,(prescription) 0.409
🕮  gliclazide,(prescription) 0.409
methimazole,(prescription) 0.409
🕮  naftopidil dihydrochloride,(prescription) 0.409
🕮  famciclovir,(prescription) 0.409
🕮  ketoprofen,(prescription) 0.409
pinacidil,(prescription) 0.409
🕮  colchicine,(prescription) 0.409
estradiol-17 beta,(prescription) 0.409
indatraline hydrochloride non-drug 0.409
piromidic acid (antibiotic) 0.409
levonordefrin,(prescription) 0.409
🕮  aceclofenac,(prescription) 0.409
🕮  sulindac,(prescription) 0.409
cycloheximide non-drug 0.409
🕮  chlorambucil,(prescription) 0.409
picotamide monohydrate,(prescription) 0.409
androsterone,(prescription) 0.409
🕮  labetalol hydrochloride,(prescription) 0.409
digitoxigenin,(prescription) 0.409
🕮  fenoprofen calcium salt dihydrate,(prescription) 0.409
clofibric acid non-drug 0.409

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 0.613
Slippery Elm 0.598
proton-pump inhibitors (prescription) 0.422
arabinogalactan (prebiotic) 0.419
red wine 0.364
resistant starch 0.355
saccharin 0.323
🕮  lactobacillus plantarum (probiotics) 0.312
🕮  tetracycline (antibiotic)s 0.298
🕮  berberine 0.29
non-starch polysaccharides 0.273
🕮  Pulses 0.262
🕮  saccharomyces boulardii (probiotics) 0.255
🕮  pectin 0.236
🕮  oligosaccharides (prebiotic) 0.227
🕮  lactobacillus acidophilus (probiotics) 0.22
🕮  Prescript Assist (2018 Formula) 0.215
🕮  lactulose 0.211
resistant maltodextrin 0.206
apple 0.201
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.184
xylan (prebiotic) 0.184
🕮  lactobacillus rhamnosus gg (probiotics) 0.18
levan 0.178
fasting 0.178
blueberry 0.173
wheat bran 0.171
fish oil 0.167
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.166
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.166
raffinose(sugar beet) 0.165
bile (acid/salts) 0.157
gynostemma pentaphyllum (Jiaogulan) 0.149
high red meat 0.148
🕮  Nicotine, Nicotine Patch 0.145
l-citrulline 0.143
ku ding cha tea 0.137
🕮  lactobacillus fermentum (probiotics) 0.137
triphala 0.137
🕮  Reduce choline (Beef, Chicken Eggs) 0.136
plantago asiatica l. 0.131
PreforPro 0.13
whole grain diet 0.127
animal-based diet 0.125
barley 0.125
stevia 0.118
macrolide ((antibiotic)s) 0.117
🕮  cruciferous vegetables (broccoli cabbage) 0.116
🕮  galacto-oligosaccharides (prebiotic) 0.116
hypocaloric hyperproteic diet 0.11
pea (fiber, protein) 0.109
🕮  lactobacillus rhamnosus (probiotics) 0.109
ketogenic diet 0.109
cholic acid (bile acid) 0.108
chemotherapy (prescription) 0.108
refined wheat breads 0.107
vitamin k2 0.106
l-proline 0.106
vsl#3 (probiotics) 0.103
gallic acid (food additive) 0.102
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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