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: Pain: Eye pain_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

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 ๐Ÿ“น
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.705
๐Ÿ•ฎ  azithromycin,(antibiotic)s[CFS] 0.703  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.686  ๐Ÿ“
๐Ÿ•ฎ  risperidone,(prescription) 0.675
๐Ÿ•ฎ  imipenem (antibiotic)s 0.649
๐Ÿ•ฎ  neomycin (antibiotic)s[CFS] 0.649
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.641
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.62  ๐Ÿ“
๐Ÿ•ฎ  acarbose,(prescription) 0.605
๐Ÿ•ฎ  spectinomycin dihydrochloride (antibiotic) 0.594
๐Ÿ•ฎ  naproxen,(prescription) 0.594
๐Ÿ•ฎ  metronidazole (antibiotic)s[CFS] 0.579
Caffeine 0.579
๐Ÿ•ฎ  ibuprofen 0.576
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.572  ๐Ÿ“
๐Ÿ•ฎ  atorvastatin (prescription) 0.567  ๐Ÿ“
moxalactam disodium salt (antibiotic) 0.567
๐Ÿ•ฎ  mebendazole,(prescription) 0.552
๐Ÿ•ฎ  isosorbide dinitrate,(prescription) 0.552
zaprinast non-drug 0.552
๐Ÿ•ฎ  albendazole,(prescription) 0.552
๐Ÿ•ฎ  chloroquine diphosphate,(prescription)[CFS] 0.552
๐Ÿ•ฎ  valacyclovir hydrochloride,(prescription) 0.552
๐Ÿ•ฎ  piretanide,(prescription) 0.552
norethynodrel,(prescription) 0.552
๐Ÿ•ฎ  gabapentin,(prescription) 0.552
๐Ÿ•ฎ  nadide non-drug 0.552
๐Ÿ•ฎ  ropinirole hcl,(prescription) 0.552
๐Ÿ•ฎ  pergolide mesylate,(prescription) 0.552
๐Ÿ•ฎ  bisoprolol fumarate,(prescription) 0.552
๐Ÿ•ฎ  clebopride maleate,(prescription) 0.552
๐Ÿ•ฎ  progesterone,(prescription) 0.552
๐Ÿ•ฎ  terazosin hydrochloride,(prescription) 0.552
equilin,(prescription) 0.552
๐Ÿ•ฎ  cyproheptadine hydrochloride,(prescription) 0.552
๐Ÿ•ฎ  terbutaline hemisulfate,(prescription) 0.552
๐Ÿ•ฎ  propylthiouracil,(prescription) 0.552
๐Ÿ•ฎ  aceclidine hydrochloride,(prescription) 0.552
๐Ÿ•ฎ  hymecromone,(prescription) 0.552
๐Ÿ•ฎ  primidone,(prescription) 0.552
๐Ÿ•ฎ  azaperone,(prescription) 0.552
๐Ÿ•ฎ  mirtazapine,(prescription) 0.552
mefexamide hydrochloride,(prescription) 0.552
๐Ÿ•ฎ  proglumide,(prescription) 0.552
methyldopate hydrochloride,(prescription) 0.552
๐Ÿ•ฎ  rebamipide,(prescription) 0.552
๐Ÿ•ฎ  ibudilast,(prescription) 0.552
๐Ÿ•ฎ  mephenesin,(prescription) 0.552
๐Ÿ•ฎ  diloxanide furoate,(prescription) 0.552
๐Ÿ•ฎ  aminophylline,(prescription) 0.552
๐Ÿ•ฎ  bufexamac,(prescription) 0.552
dimethisoquin hydrochloride,(prescription) 0.552
๐Ÿ•ฎ  levodopa,(prescription) 0.552
๐Ÿ•ฎ  melatonin supplement 0.552  ๐Ÿ“
๐Ÿ•ฎ  ranolazine,(prescription) 0.552
diphenidol hydrochloride,(prescription) 0.552
tetrahydrozoline hydrochloride,(prescription) 0.552
๐Ÿ•ฎ  ketorolac tromethamine,(prescription) 0.552
sulfamethazine sodium salt (antibiotic) 0.552
๐Ÿ•ฎ  homatropine hydrobromide (r;s),(prescription) 0.552

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.567
๐Ÿ•ฎ  Burdock Root 0.538
arabinogalactan (prebiotic) 0.506
resistant starch 0.499
proton-pump inhibitors (prescription) 0.428
๐Ÿ•ฎ  berberine 0.401
vitamin a 0.371
๐Ÿ•ฎ  Pulses 0.329
bacillus amyloliquefaciens (probiotic) 0.324
red wine 0.31
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.281
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.268
bile (acid/salts) 0.266
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.265
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.264
Slippery Elm 0.263
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.254
๐Ÿ•ฎ  pectin 0.239
๐Ÿ•ฎ  zinc 0.237
soy 0.234
carboxymethyl cellulose (prebiotic) 0.233
barley 0.23
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.226
resistant maltodextrin 0.222
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.219
non-starch polysaccharides 0.217
Lactobacillus Johnsonii (probiotic) 0.208
pea (fiber, protein) 0.206
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.198
fat 0.196
rare meat 0.194
gallic acid (food additive) 0.194
barley,oat 0.191
saccharin 0.187
high red meat 0.187
๐Ÿ•ฎ  l-arginine 0.184
wheat bran 0.184
almonds/ almond skins 0.183
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.181
Conjugated Linoleic Acid 0.18
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.179
vegetarians 0.179
Alpha-Ketoglutarate 0.178
sodium butyrate 0.178
blueberry 0.177
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.173
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.173
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.169
fasting 0.166
plantago asiatica l. 0.164
chemotherapy (prescription) 0.163
๐Ÿ•ฎ  vitamin d 0.163
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.16
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.159
pomegranate 0.154
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.152
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.151
animal-based diet 0.149
๐Ÿ•ฎ  omega-3 fatty acids 0.143
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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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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