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: Comorbid: Multiple Chemical Sensitivity_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  metronidazole (antibiotic)s[CFS] 0.947
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.708
๐Ÿ•ฎ  acarbose,(prescription) 0.669
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.616
๐Ÿ•ฎ  gentamicin (antibiotic)s 0.602
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.601  ๐Ÿ“
๐Ÿ•ฎ  atorvastatin (prescription) 0.594  ๐Ÿ“
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.588
Caffeine 0.577
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.576
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.572  ๐Ÿ“
๐Ÿ•ฎ  imipenem (antibiotic)s 0.57
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.568  ๐Ÿ“
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.559
๐Ÿ•ฎ  ornidazole (antibiotic)s 0.552
๐Ÿ•ฎ  risperidone,(prescription) 0.549
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.54
๐Ÿ•ฎ  itraconazole,(prescription) 0.539
๐Ÿ•ฎ  melatonin supplement 0.527  ๐Ÿ“
vitamin B3,niacin 0.509  ๐Ÿ“
chitosan,(sugar) 0.508  ๐Ÿ“
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.503
๐Ÿ•ฎ  fenbufen,(prescription) 0.502
isoxicam,(prescription) 0.502
bephenium hydroxynaphthoate,(prescription) 0.502
๐Ÿ•ฎ  nortriptyline hydrochloride,(prescription) 0.502
๐Ÿ•ฎ  ifenprodil tartrate,(prescription) 0.502
bretylium tosylate,(prescription) 0.502
alendronate sodium,(prescription) 0.502
๐Ÿ•ฎ  disopyramide,(prescription) 0.502
ethoxyquin non-drug 0.502
๐Ÿ•ฎ  metoclopramide monohydrochloride,(prescription) 0.502
๐Ÿ•ฎ  ethotoin,(prescription) 0.502
calcipotriene,(prescription) 0.502
๐Ÿ•ฎ  nisoldipine,(prescription) 0.502
mephentermine hemisulfate,(prescription) 0.502
parthenolide non-drug 0.502
๐Ÿ•ฎ  abacavir sulfate,(prescription) 0.502
๐Ÿ•ฎ  itopride,(prescription) 0.502
๐Ÿ•ฎ  succinylsulfathiazole (antibiotic) 0.502
๐Ÿ•ฎ  desipramine hydrochloride,(prescription) 0.502
๐Ÿ•ฎ  leflunomide,(prescription) 0.502
๐Ÿ•ฎ  nalbuphine hydrochloride,(prescription) 0.502
diosmin,(polyphenol) 0.502  ๐Ÿ“
๐Ÿ•ฎ  probucol,(prescription) 0.502
๐Ÿ•ฎ  quinapril hcl,(prescription) 0.502
iodipamide,(prescription) 0.502
spaglumic acid,(prescription) 0.502
๐Ÿ•ฎ  sulpiride,(prescription) 0.502
ethacrynic acid,(prescription) 0.502
amodiaquin dihydrochloride dihydrate,(prescription) 0.502
methiazole,(prescription) 0.502
๐Ÿ•ฎ  nomegestrol acetate,(prescription) 0.502
๐Ÿ•ฎ  fenbendazole,(prescription) 0.502
๐Ÿ•ฎ  memantine hydrochloride,(prescription) 0.502
mephenytoin,(prescription) 0.502
cortisone,(prescription) 0.502
๐Ÿ•ฎ  pindolol,(prescription) 0.502
oxalamine citrate salt,(prescription) 0.502
aminocaproic acid,(prescription) 0.502

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
Slippery Elm 0.846
๐Ÿ•ฎ  berberine 0.814
arabinogalactan (prebiotic) 0.776
resistant starch 0.627
triphala 0.512
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.506
red wine 0.495
๐Ÿ•ฎ  Pulses 0.493
saccharin 0.47
proton-pump inhibitors (prescription) 0.445
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.43
non-starch polysaccharides 0.418
walnuts 0.403
amphotericin 0.387
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.387
resistant maltodextrin 0.385
xylan (prebiotic) 0.383
vegetarians 0.359
๐Ÿ•ฎ  bifidobacterium bifidum (probiotics) 0.34
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.337
macrolide ((antibiotic)s) 0.331
gallic acid (food additive) 0.319
l-citrulline 0.31
apple 0.306
๐Ÿ•ฎ  pectin 0.281
wheat bran 0.279
levan 0.278
barley 0.27
๐Ÿ•ฎ  tetracycline (antibiotic)s 0.265
stevia 0.262
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.249
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.248
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.242
plantago asiatica l. 0.23
fat 0.217
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.214
gynostemma pentaphyllum (Jiaogulan) 0.212
l-proline 0.211
๐Ÿ•ฎ  zinc 0.206
fasting 0.201
pea (fiber, protein) 0.201
๐Ÿ•ฎ  Pistachio 0.193
๐Ÿ•ฎ  lactulose 0.193
raw potato starch 0.193
๐Ÿ•ฎ  vitamin d 0.192
๐Ÿ•ฎ  black raspberries 0.19
PreforPro 0.185
dietary phytoestrogens (isoflavones) 0.168
high red meat 0.167
ku ding cha tea 0.167
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.166
animal-based diet 0.166
fruit/legume fibre 0.166
barley,oat 0.161
๐Ÿ•ฎ  Goji (berry,juice) 0.158
genistein 0.158
hypocaloric hyperproteic diet 0.157
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.156
mediterranean diet 0.156
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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