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: Immune Manifestations: Inflammation of skin, eyes or joints_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 📹
🕮  neomycin (antibiotic)s[CFS] 0.488
🕮  Hesperidin (polyphenol) 0.415  📏
🕮  spectinomycin dihydrochloride (antibiotic) 0.395
🕮  naproxen,(prescription) 0.392
🕮  ibuprofen 0.384
🕮  streptomycin (antibiotic)s 0.345
🕮  carbamazepine,(prescription) 0.332
vitamin B3,niacin 0.331  📏
🕮  hyoscyamine (l),(prescription) 0.329
🕮  reboxetine mesylate,(prescription) 0.328
🕮  fenbendazole,(prescription) 0.328
🕮  N-Acetyl Cysteine (NAC), 0.323  📏
🕮  dopamine (prescription) 0.318
🕮  sulfamethoxazole (antibiotic) 0.318
🕮  itraconazole,(prescription) 0.316
🕮  melatonin supplement 0.316  📏
sulfamethazine sodium salt (antibiotic) 0.312
🕮  homatropine hydrobromide (r;s),(prescription) 0.312
🕮  nicergoline,(prescription) 0.312
2-chloropyrazine non-drug 0.312
🕮  diloxanide furoate,(prescription) 0.312
🕮  mitotane,(prescription) 0.312
gbr 12909 dihydrochloride,(prescription) 0.312
cortisol acetate,(prescription) 0.312
🕮  benperidol,(prescription) 0.312
oxfendazol,(prescription) 0.312
🕮  terbutaline hemisulfate,(prescription) 0.312
🕮  propylthiouracil,(prescription) 0.312
🕮  aceclidine hydrochloride,(prescription) 0.312
🕮  hymecromone,(prescription) 0.312
🕮  primidone,(prescription) 0.312
🕮  azaperone,(prescription) 0.312
🕮  mirtazapine,(prescription) 0.312
mefexamide hydrochloride,(prescription) 0.312
🕮  proglumide,(prescription) 0.312
🕮  levodopa,(prescription) 0.312
🕮  ranolazine,(prescription) 0.312
diphenidol hydrochloride,(prescription) 0.312
tetrahydrozoline hydrochloride,(prescription) 0.312
🕮  ketorolac tromethamine,(prescription) 0.312
clavulanate potassium salt (antibiotic) 0.312
🕮  sulfapyridine (antibiotic) 0.312
dizocilpine maleate,(prescription) 0.312
mianserine hydrochloride,(prescription) 0.312
🕮  sumatriptan succinate,(prescription) 0.312
🕮  naphazoline hydrochloride,(prescription) 0.312
🕮  formestane,(prescription) 0.312
🕮  lofexidine,(prescription) 0.312
methylprednisolone; 6-alpha,(prescription) 0.312
🕮  clopamide,(prescription) 0.312
🕮  chloroquine diphosphate,(prescription)[CFS] 0.312
🕮  valacyclovir hydrochloride,(prescription) 0.312
🕮  piretanide,(prescription) 0.312
norethynodrel,(prescription) 0.312
🕮  gabapentin,(prescription) 0.312
🕮  nadide non-drug 0.312
🕮  ropinirole hcl,(prescription) 0.312
🕮  pergolide mesylate,(prescription) 0.312
🕮  bisoprolol fumarate,(prescription) 0.312
🕮  clebopride maleate,(prescription) 0.312

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.726
🕮  fructo-oligosaccharides (prebiotic) 0.721
arabinogalactan (prebiotic) 0.652
soy 0.609
🕮  resveratrol (grape seed/polyphenols/red wine) 0.593
🕮  lactobacillus plantarum (probiotics) 0.535
🕮  lactulose 0.491
resistant starch 0.473
🕮  lactobacillus acidophilus (probiotics) 0.453
bacillus subtilis (probiotics) 0.443
wheat bran 0.424
raffinose(sugar beet) 0.422
proton-pump inhibitors (prescription) 0.402
🕮  Burdock Root 0.382
almonds/ almond skins 0.365
apple 0.36
jerusalem artichoke (prebiotic) 0.359
sesame cake/meal 0.357
🕮  galacto-oligosaccharides (prebiotic) 0.35
🕮  Glucomannan 0.344
mediterranean diet 0.314
red wine 0.293
🕮  gum arabic (prebiotic) 0.284
clostridium butyricum (probiotics),Miya,Miyarisan 0.274
ketogenic diet 0.262
Conjugated Linoleic Acid 0.258
Lactobacillus Johnsonii (probiotic) 0.257
barley,oat 0.255
whey 0.252
daesiho-tang 0.25
magnesium 0.245
🕮  pectin 0.244
navy bean 0.243
blueberry 0.24
high fiber diet 0.238
🕮  lactobacillus reuteri (probiotics) 0.237
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.235
🕮  Pulses 0.234
pomegranate 0.231
barley 0.23
🕮  rifaximin (antibiotic)s 0.229
🕮  oligosaccharides (prebiotic) 0.227
🕮  bifidobacterium lactis bb12 (probiotics) 0.21
green tea 0.207
pea (fiber, protein) 0.206
chondrus crispus,red sea weed 0.203
wheat 0.201
fat 0.193
fish oil 0.192
Slippery Elm 0.19
🕮  noni 0.188
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.188
fasting 0.187
🕮  zinc 0.186
l-proline 0.185
🕮  Cacao 0.18
🕮  lactobacillus paracasei (probiotics) 0.172
pediococcus acidilactic (probiotic) 0.17
plantago asiatica l. 0.165
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.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.


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