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: Official Diagnosis: Attention deficit hyperactivity disorder (ADHD)_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 0.85
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.708  ๐Ÿ“
๐Ÿ•ฎ  risperidone,(prescription) 0.683
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.681
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.667  ๐Ÿ“
Vitamin B9,folic acid 0.657  ๐Ÿ“
๐Ÿ•ฎ  carbamazepine,(prescription) 0.657
๐Ÿ•ฎ  atorvastatin (prescription) 0.656  ๐Ÿ“
๐Ÿ•ฎ  acarbose,(prescription) 0.652
Caffeine 0.65
๐Ÿ•ฎ  melatonin supplement 0.643  ๐Ÿ“
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.634
chlorphensin carbamate,(prescription) 0.626
๐Ÿ•ฎ  phentolamine hydrochloride,(prescription) 0.626
clodronate,(prescription) 0.626
cromolyn disodium salt,(prescription) 0.626
๐Ÿ•ฎ  pralidoxime chloride,(prescription) 0.626
eucatropine hydrochloride non-drug 0.626
dipyridamole,(prescription) 0.626
๐Ÿ•ฎ  ambroxol hydrochloride,(prescription) 0.626
๐Ÿ•ฎ  isoxsuprine hydrochloride,(prescription) 0.626
viloxazine hydrochloride,(prescription) 0.626
๐Ÿ•ฎ  ranitidine hydrochloride,(prescription) 0.626
๐Ÿ•ฎ  tizanidine hcl,(prescription) 0.626
๐Ÿ•ฎ  verapamil hydrochloride,(prescription) 0.626
fluocinolone acetonide,(prescription) 0.626
๐Ÿ•ฎ  praziquantel,(prescription) 0.626
meticrane,(prescription) 0.626
๐Ÿ•ฎ  acetazolamide,(prescription) 0.626
๐Ÿ•ฎ  alclometasone dipropionate,(prescription) 0.626
Arbutin (polyphenol) 0.626  ๐Ÿ“
benoxinate hydrochloride,(prescription) 0.626
dipivefrin hydrochloride,(prescription) 0.626
alcuronium chloride,(prescription) 0.626
gallamine triethiodide,(prescription) 0.626
๐Ÿ•ฎ  phenformin hydrochloride,(prescription) 0.626
๐Ÿ•ฎ  acemetacin,(prescription) 0.626
pempidine tartrate,(prescription) 0.626
diphemanil methylsulfate,(prescription) 0.626
๐Ÿ•ฎ  (-) -levobunolol hydrochloride,(prescription) 0.626
๐Ÿ•ฎ  prazosin hydrochloride,(prescription) 0.626
thip hydrochloride non-drug 0.626
๐Ÿ•ฎ  alizapride hcl,(prescription) 0.626
ethamivan,(prescription) 0.626
ethynodiol diacetate,(prescription) 0.626
etretinate,(prescription) 0.626
๐Ÿ•ฎ  thiocolchicoside,(prescription) 0.626
๐Ÿ•ฎ  protriptyline hydrochloride,(prescription) 0.626
๐Ÿ•ฎ  griseofulvin,(prescription) 0.626
metrizamide,(prescription) 0.626
๐Ÿ•ฎ  estrone,(prescription) 0.626
๐Ÿ•ฎ  oxaprozin,(prescription) 0.626
dicyclomine hydrochloride,(prescription) 0.626
๐Ÿ•ฎ  clemastine fumarate,(prescription) 0.626
๐Ÿ•ฎ  neostigmine bromide,(prescription) 0.626
๐Ÿ•ฎ  tramadol hydrochloride,(prescription) 0.626
๐Ÿ•ฎ  enalapril maleate,(prescription) 0.626
๐Ÿ•ฎ  balsalazide sodium,(prescription) 0.626
๐Ÿ•ฎ  lamivudine,(prescription) 0.626
๐Ÿ•ฎ  prednicarbate,(prescription) 0.626

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 1
๐Ÿ•ฎ  berberine 0.696
๐Ÿ•ฎ  inulin (prebiotic) 0.593
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.475
proton-pump inhibitors (prescription) 0.461
whole grain diet 0.436
red wine 0.38
triphala 0.375
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.362
arabinogalactan (prebiotic) 0.355
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.303
fish oil 0.301
non-starch polysaccharides 0.274
resistant starch 0.261
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.252
๐Ÿ•ฎ  Nicotine, Nicotine Patch 0.236
raffinose(sugar beet) 0.232
๐Ÿ•ฎ  cruciferous vegetables (broccoli cabbage) 0.231
๐Ÿ•ฎ  Pulses 0.226
levan 0.217
blueberry 0.216
vitamin k2 0.21
apple 0.207
ku ding cha tea 0.205
refined wheat breads 0.199
๐Ÿ•ฎ  dibekacin (antibiotic)s 0.197
ginger 0.193
high fiber diet 0.191
barley 0.188
๐Ÿ•ฎ  lactobacillus gasseri (probiotics) 0.172
๐Ÿ•ฎ  pectin 0.168
gynostemma pentaphyllum (Jiaogulan) 0.164
๐Ÿ•ฎ  lactulose 0.163
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.157
xylan (prebiotic) 0.151
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.149
palm kernel meal 0.149
cholic acid (bile acid) 0.148
resistant maltodextrin 0.142
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.136
barley,oat 0.131
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.131
macrolide ((antibiotic)s) 0.131
vsl#3 (probiotics) 0.13
๐Ÿ•ฎ  Burdock Root 0.129
dietary fiber 0.126
brown rice 0.124
Alpha-Ketoglutarate 0.118
maltitol 0.117
oats 0.117
bacillus subtilis,lactobacillus acidophilus (probiotics) 0.117
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.117
chemotherapy (prescription) 0.116
low protein diet 0.113
animal-based diet 0.113
d-ribose 0.111
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.111
๐Ÿ•ฎ  Shen Ling Bai Zhu San 0.11
bile (acid/salts) 0.108
magnesium 0.104
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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