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: hives_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 📹
🕮  Hesperidin (polyphenol) 0.713  📏
chitosan,(sugar) 0.704  📏
🕮  N-Acetyl Cysteine (NAC), 0.681  📏
Caffeine 0.665
🕮  gentamicin (antibiotic)s 0.65
🕮  acarbose,(prescription) 0.634
🕮  risperidone,(prescription) 0.618
🕮  neomycin (antibiotic)s[CFS] 0.603
Vitamin B9,folic acid 0.601  📏
🕮  atorvastatin (prescription) 0.593  📏
🕮  ibuprofen 0.573
🕮  naproxen,(prescription) 0.573
🕮  loperamide hydrochloride,(prescription) 0.573
🕮  Vitamin B1,thiamine hydrochloride 0.572  📏
🕮  ofloxacin (antibiotic)s 0.567
🕮  streptomycin (antibiotic)s 0.557
🕮  succinylsulfathiazole (antibiotic) 0.557
🕮  pivmecillinam hydrochloride (antibiotic) 0.557
🕮  pramipexole,(prescription) 0.557
pramoxine hydrochloride,(prescription) 0.557
🕮  pranlukast,(prescription) 0.557
🕮  pranoprofen,(prescription) 0.557
🕮  pravastatin,(prescription) 0.557
🕮  sulindac,(prescription) 0.557
sulmazole non-drug 0.557
🕮  thalidomide,(prescription) 0.557
Theobromine (in food) 0.557
🕮  sulpiride,(prescription) 0.557
sulfabenzamide 0.557
🕮  sulfacetamide sodic hydrate (antibiotic) 0.557
sulfachloropyridazine,(prescription) 0.557
🕮  sulfadiazine (antibiotic) 0.557
🕮  sulfadimethoxine (antibiotic) 0.557
sulfadoxine,(prescription) 0.557
🕮  sulfaguanidine (antibiotic) 0.557
🕮  sulfamerazine (antibiotic) 0.557
sulfameter (antibiotic) 0.557
sulfamethazine sodium salt (antibiotic) 0.557
🕮  sulfamethizole (antibiotic) 0.557
🕮  sulfasalazine,(prescription) 0.557
🕮  sulfathiazole (antibiotic) 0.557
🕮  sulfinpyrazone,(prescription) 0.557
🕮  sulfisoxazole (antibiotic) 0.557
pargyline hydrochloride,(prescription) 0.557
🕮  pentoxifylline,(prescription) 0.557
pentylenetetrazole,(prescription) 0.557
pepstatin a non-drug 0.557
🕮  pergolide mesylate,(prescription) 0.557
🕮  perindopril,(prescription) 0.557
🕮  perphenazine,(prescription) 0.557
phenacetin,(prescription) 0.557
🕮  phenylbutazone,(prescription) 0.557
🕮  phenylpropanolamine hydrochloride,(prescription) 0.557
🕮  phthalylsulfathiazole (antibiotic) 0.557
picotamide monohydrate,(prescription) 0.557
picrotoxinin non-drug 0.557
🕮  piretanide,(prescription) 0.557
🕮  piribedil hydrochloride,(prescription) 0.557
pirlindole mesylate,(prescription) 0.557
piromidic acid (antibiotic) 0.557

To Remove or Decrease
Modifier Confidence 📹
arabinogalactan (prebiotic) 1
🕮  inulin (prebiotic) 0.983
resistant starch 0.84
red wine 0.771
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.747
🕮  lactobacillus plantarum (probiotics) 0.684
saccharin 0.561
🕮  berberine 0.544
resistant maltodextrin 0.498
🕮  Pulses 0.449
🕮  pectin 0.443
Slippery Elm 0.439
vegetarians 0.427
apple 0.414
refined wheat breads 0.402
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.396
xylan (prebiotic) 0.395
stevia 0.375
plantago asiatica l. 0.36
levan 0.343
non-starch polysaccharides 0.336
wheat bran 0.327
🕮  Burdock Root 0.29
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.282
gallic acid (food additive) 0.282
🕮  cruciferous vegetables (broccoli cabbage) 0.273
pomegranate 0.268
🕮  lactobacillus rhamnosus gg (probiotics) 0.266
l-citrulline 0.266
🕮  glucose (sugar) 0.265
🕮  lactobacillus acidophilus (probiotics) 0.262
bacillus licheniformis,(probiotics) 0.262
dietary phytoestrogens (isoflavones) 0.256
l-proline 0.25
Psyllium (Plantago Ovata Husk) 0.246
🕮  ß-glucan 0.245
barley 0.241
dietary fiber 0.235
genistein 0.235
low-fat diets 0.23
barley,oat 0.225
carboxymethyl cellulose (prebiotic) 0.225
animal-based diet 0.225
bile (acid/salts) 0.221
🕮  lactobacillus acidophilus,cellobiose (probiotics) 0.219
bacillus,lactobacillus,streptococcus,saccharomyces probiotic 0.219
germinated barley food-stuff 0.219
🕮  resveratrol (grape seed/polyphenols/red wine) 0.216
🕮  black raspberries 0.212
green-lipped mussel 0.199
🕮  zinc 0.198
🕮  galacto-oligosaccharides (prebiotic) 0.197
saccharomyces boulardii (probiotics) 0.195
🕮  lactobacillus fermentum (probiotics) 0.189
🕮  iron 0.178
polygonatum kingianum(Orange Flower Solomon's Seal.) 0.173
pea (fiber, protein) 0.172
ku ding cha tea 0.171
hypocaloric hyperproteic diet 0.168
🕮  vitamin d 0.168
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.
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