Why some suggestions may contradict

RECOMMENDED READING Caveats on using the contents of this page. ๐Ÿ‘จโ€โš•๏ธ

If you need help with this information, here is a list of consultants ๐Ÿ‘จโ€โš•๏ธ๐Ÿ‘ฉโ€โš•๏ธ that are available.

Suggestion Parameters

Sample:A Priori (from theoretical deduction)
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Physical: Organic Diet_Drugs
Rank Used: All Ranks
Shifts Used:High and Low Levels
Citations Used:

How do we know if the suggestions are reasonable/valid?

๐Ÿฑ Food Menu Planner ๐Ÿฝ๏ธ ๐Ÿ“น How are suggestions determined


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 ๐Ÿ“น
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.74
๐Ÿ•ฎ  imipenem (antibiotic)s 0.64
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.639
cinnamon (oil. spice) 0.599  ๐Ÿ“
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.53
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.521
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.519
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.493  ๐Ÿ“
๐Ÿ•ฎ  risperidone,(prescription) 0.481
rosmarinus officinalis,rosemary 0.478
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.459
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.459
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.457
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.447  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.444  ๐Ÿ“
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.442
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.436  ๐Ÿ“
intesti-bacteriophage 0.435
Caffeine 0.422
๐Ÿ•ฎ  acarbose,(prescription) 0.419
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.402
trametes versicolor(Turkey tail mushroom) 0.392
chitosan,(sugar) 0.388  ๐Ÿ“
๐Ÿ•ฎ  Cacao 0.382  ๐Ÿ“
foeniculum vulgare,fennel 0.367
๐Ÿ•ฎ  amikacin (antibiotic)s 0.36
glycyrrhizic acid (licorice) 0.349  ๐Ÿ“
๐Ÿ•ฎ  ofloxacin (antibiotic)s 0.348
Vitamin C (ascorbic acid) 0.341  ๐Ÿ“
peppermint (spice, oil) 0.333
๐Ÿ•ฎ  garlic (allium sativum) 0.332  ๐Ÿ“
๐Ÿ•ฎ  propolis(bee's glue) 0.331
๐Ÿ•ฎ  atorvastatin (prescription) 0.328  ๐Ÿ“
๐Ÿ•ฎ  tigecycline (antibiotic)s 0.326
linseed(flaxseed) 0.325  ๐Ÿ“
quercetin 0.32  ๐Ÿ“
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.306
๐Ÿ•ฎ  itraconazole,(prescription) 0.306
polymannuronic acid 0.3
๐Ÿ•ฎ  pivmecillinam hydrochloride (antibiotic) 0.3
๐Ÿ•ฎ  pizotifen malate,(prescription) 0.3
๐Ÿ•ฎ  podophyllotoxin,(prescription) 0.3
practolol,(prescription) 0.3
๐Ÿ•ฎ  pralidoxime chloride,(prescription) 0.3
๐Ÿ•ฎ  praziquantel,(prescription) 0.3
๐Ÿ•ฎ  prazosin hydrochloride,(prescription) 0.3
๐Ÿ•ฎ  prednicarbate,(prescription) 0.3
๐Ÿ•ฎ  prednisolone,(prescription) 0.3
๐Ÿ•ฎ  piroxicam,(prescription) 0.3
picotamide monohydrate,(prescription) 0.3
picrotoxinin non-drug 0.3
๐Ÿ•ฎ  pilocarpine nitrate,(prescription) 0.3
๐Ÿ•ฎ  pimethixene maleate,(prescription) 0.3
๐Ÿ•ฎ  pimozide,(prescription) 0.3
pinacidil,(prescription) 0.3
๐Ÿ•ฎ  pindolol,(prescription) 0.3
๐Ÿ•ฎ  pirenzepine dihydrochloride,(prescription) 0.3
๐Ÿ•ฎ  piretanide,(prescription) 0.3
๐Ÿ•ฎ  piribedil hydrochloride,(prescription) 0.3
pirlindole mesylate,(prescription) 0.3

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
Slippery Elm 0.905
๐Ÿ•ฎ  berberine 0.734
arabinogalactan (prebiotic) 0.519
๐Ÿ•ฎ  iron 0.495
barley 0.478
bile (acid/salts) 0.47
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.468
๐Ÿ•ฎ  Pulses 0.452
red wine 0.407
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.366
walnuts 0.336
resistant starch 0.336
saccharin 0.327
sesame cake/meal 0.322
vegetarians 0.32
penicillin-moxalactam (antibiotic)s 0.297
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.286
resistant maltodextrin 0.282
๐Ÿ•ฎ  tetracycline (antibiotic)s 0.28
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.277
sodium butyrate 0.271
macrolide ((antibiotic)s) 0.267
wheat bran 0.256
chemotherapy (prescription) 0.253
raffinose(sugar beet) 0.253
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.247
๐Ÿ•ฎ  dibekacin (antibiotic)s 0.246
apple 0.243
๐Ÿ•ฎ  vitamin d 0.243
dietary phytoestrogens (isoflavones) 0.24
soy 0.239
buckwheat 0.238
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.237
cholic acid (bile acid) 0.233
๐Ÿ•ฎ  galactose (milk sugar) 0.222
pea (fiber, protein) 0.222
non-starch polysaccharides 0.217
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.216
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.213
proton-pump inhibitors (prescription) 0.212
helminth infection (prescription) 0.204
lincosamide (antibiotic)s 0.185
high fiber diet 0.183
๐Ÿ•ฎ  lactulose 0.181
bacillus subtilis (probiotics) 0.18
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.179
fasting 0.178
wheat 0.178
raw potato starch 0.177
๐Ÿ•ฎ  fluorine 0.176
๐Ÿ•ฎ  esculin 0.172
jerusalem artichoke (prebiotic) 0.171
๐Ÿ•ฎ  pectin 0.166
Manuka Honey 0.162
fibre-rich macrobiotic ma-pi 2 diet 0.162
๐Ÿ•ฎ  high-fat diets 0.161
plantago asiatica l. 0.16
Fish Sauce 0.159
Sauerkraut 0.158
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.

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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.

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