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: DePaul University Fatigue Questionnaire : Ringing in the Ears_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  atorvastatin (prescription) 0.775  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.744  ๐Ÿ“
๐Ÿ•ฎ  acarbose,(prescription) 0.715
๐Ÿ•ฎ  Vitamin B-12 0.7  ๐Ÿ“
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.7
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.689  ๐Ÿ“
Vitamin C (ascorbic acid) 0.679  ๐Ÿ“
Caffeine 0.673
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.659  ๐Ÿ“
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.643
๐Ÿ•ฎ  itraconazole,(prescription) 0.643
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.633
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.624
๐Ÿ•ฎ  balsalazide sodium,(prescription) 0.613
๐Ÿ•ฎ  zalcitabine,(prescription) 0.613
๐Ÿ•ฎ  podophyllotoxin,(prescription) 0.613
dehydrocholic acid non-drug 0.613
๐Ÿ•ฎ  ivermectin,(prescription) 0.613
๐Ÿ•ฎ  cyproterone acetate,(prescription) 0.613
๐Ÿ•ฎ  ifosfamide,(prescription) 0.613
quipazine dimaleate salt non-drug 0.613
๐Ÿ•ฎ  busulfan,(prescription) 0.613
๐Ÿ•ฎ  pravastatin,(prescription) 0.613
tranexamic acid,(prescription) 0.613
๐Ÿ•ฎ  thalidomide,(prescription) 0.613
phenacetin,(prescription) 0.613
๐Ÿ•ฎ  aminophylline,(prescription) 0.613
๐Ÿ•ฎ  diloxanide furoate,(prescription) 0.613
gbr 12909 dihydrochloride,(prescription) 0.613
cortisol acetate,(prescription) 0.613
๐Ÿ•ฎ  benperidol,(prescription) 0.613
oxfendazol,(prescription) 0.613
๐Ÿ•ฎ  pemirolast potassium,(prescription) 0.613
๐Ÿ•ฎ  alprenolol hydrochloride,(prescription) 0.613
๐Ÿ•ฎ  gabexate mesilate non-drug 0.613
๐Ÿ•ฎ  testosterone propionate,(prescription) 0.613
๐Ÿ•ฎ  tripelennamine hydrochloride,(prescription) 0.613
trioxsalen,(prescription) 0.613
๐Ÿ•ฎ  hydrochlorothiazide,(prescription) 0.613
๐Ÿ•ฎ  dacarbazine,(prescription) 0.613
๐Ÿ•ฎ  levodopa,(prescription) 0.613
๐Ÿ•ฎ  ranolazine,(prescription) 0.613
diphenidol hydrochloride,(prescription) 0.613
tetrahydrozoline hydrochloride,(prescription) 0.613
๐Ÿ•ฎ  ketorolac tromethamine,(prescription) 0.613
๐Ÿ•ฎ  pioglitazone,(prescription) 0.613
sulfamethazine sodium salt (antibiotic) 0.613
๐Ÿ•ฎ  homatropine hydrobromide (r;s),(prescription) 0.613
๐Ÿ•ฎ  nicergoline,(prescription) 0.613
2-chloropyrazine non-drug 0.613
pyrilamine maleate,(prescription) 0.613
zomepirac sodium salt,(prescription) 0.613
๐Ÿ•ฎ  bumetanide,(prescription) 0.613
๐Ÿ•ฎ  chloropyramine hydrochloride,(prescription) 0.613
๐Ÿ•ฎ  lacidipine,(prescription) 0.613
๐Ÿ•ฎ  bicalutamide,(prescription) 0.613
๐Ÿ•ฎ  moxisylyte hydrochoride,(prescription) 0.613
๐Ÿ•ฎ  naproxen,(prescription) 0.613
๐Ÿ•ฎ  suxibuzone,(prescription) 0.613
๐Ÿ•ฎ  urapidil hydrochloride,(prescription) 0.613

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 1
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.805
๐Ÿ•ฎ  berberine 0.768
arabinogalactan (prebiotic) 0.651
red wine 0.598
๐Ÿ•ฎ  Pulses 0.586
resistant starch 0.523
non-starch polysaccharides 0.508
๐Ÿ•ฎ  inulin (prebiotic) 0.456
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.38
๐Ÿ•ฎ  vitamin d 0.366
levan 0.359
penicillin-moxalactam (antibiotic)s 0.356
mediterranean diet 0.335
aspartame (sweetner) 0.334
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.328
saccharin 0.327
resistant maltodextrin 0.318
triphala 0.301
fasting 0.301
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.294
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.288
whole grain diet 0.28
salt (sodium chloride) 0.276
๐Ÿ•ฎ  Burdock Root 0.266
l-citrulline 0.262
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.251
wheat bran 0.249
xylan (prebiotic) 0.249
macrolide ((antibiotic)s) 0.249
๐Ÿ•ฎ  ceftriaxone (antibiotic)s 0.241
l-proline 0.233
bacillus coagulans (probiotics) 0.229
๐Ÿ•ฎ  tetracycline (antibiotic)s 0.229
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.224
gynostemma pentaphyllum (Jiaogulan) 0.223
๐Ÿ•ฎ  rifaximin (antibiotic)s 0.222
sulfonamide (antibiotic)s 0.217
navy bean 0.213
animal-based diet 0.205
๐Ÿ•ฎ  bifidobacterium pseudocatenulatum,(probiotics) 0.205
๐Ÿ•ฎ  glycine 0.204
walnuts 0.202
๐Ÿ•ฎ  epinephrine 0.201
gallic acid (food additive) 0.195
soy 0.194
high fiber diet 0.192
hypocaloric hyperproteic diet 0.19
๐Ÿ•ฎ  lactulose 0.187
carboxymethyl cellulose (prebiotic) 0.184
๐Ÿ•ฎ  ß-glucan 0.18
low protein diet 0.175
symbioflor 2 e.coli probiotics 0.174
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.17
๐Ÿ•ฎ  bifidobacterium adolescentis,(probiotics) 0.17
high salt 0.166
quercetin,resveratrol 0.165
disodium fumarate (food additive) 0.164
raw potato starch 0.164
vegetarians 0.161
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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