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: Sleep: Need to nap daily_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 1
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.813
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.755
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.673
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.66
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.649
๐Ÿ•ฎ  streptomycin (antibiotic)s 0.62
๐Ÿ•ฎ  risperidone,(prescription) 0.539
๐Ÿ•ฎ  atorvastatin (prescription) 0.537  ๐Ÿ“
๐Ÿ•ฎ  estradiol valerate,(prescription) 0.531
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.529  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.524  ๐Ÿ“
imipenem (antibiotic)s 0.523
๐Ÿ•ฎ  garlic (allium sativum) 0.511  ๐Ÿ“
๐Ÿ•ฎ  loperamide hydrochloride,(prescription) 0.507
prednisone,(prescription) 0.5
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.495  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.494  ๐Ÿ“
Caffeine 0.49
flurandrenolide,(prescription) 0.489
(+;-)-octopamine hydrochloride,(prescription) 0.489
๐Ÿ•ฎ  probenecid,(prescription) 0.489
indomethacin,(prescription) 0.489
๐Ÿ•ฎ  estriol,(prescription) 0.489
๐Ÿ•ฎ  tolnaftate,(prescription) 0.489
๐Ÿ•ฎ  pivmecillinam hydrochloride (antibiotic) 0.489
๐Ÿ•ฎ  quetiapine hemifumarate,(prescription) 0.489
๐Ÿ•ฎ  gestrinone,(prescription) 0.489
amyleine hydrochloride,(prescription) 0.489
isopyrin hydrochloride non-drug 0.489
๐Ÿ•ฎ  crotamiton,(prescription) 0.489
๐Ÿ•ฎ  benfluorex hydrochloride,(prescription) 0.489
hydroxytacrine maleate (r;s),(prescription) 0.489
tetrahydroxy-1;4-quinone monohydrate non-drug 0.489
๐Ÿ•ฎ  sulfaguanidine (antibiotic) 0.489
๐Ÿ•ฎ  paroxetine hydrochloride,(prescription) 0.489
6-furfurylaminopurine non-drug 0.489
๐Ÿ•ฎ  metoclopramide monohydrochloride,(prescription) 0.489
๐Ÿ•ฎ  ethotoin,(prescription) 0.489
๐Ÿ•ฎ  isoniazid (antibiotic) 0.489
sulfameter (antibiotic) 0.489
ethynylestradiol 3-methyl ether,(prescription) 0.489
homosalate non-drug 0.489
๐Ÿ•ฎ  saquinavir mesylate,(prescription) 0.489
๐Ÿ•ฎ  hydroxychloroquine sulfate,(prescription) 0.489
๐Ÿ•ฎ  ondansetron hydrochloride,(prescription) 0.489
๐Ÿ•ฎ  zonisamide,(prescription) 0.489
๐Ÿ•ฎ  fulvestrant,(prescription) 0.489
๐Ÿ•ฎ  amfepramone hydrochloride,(prescription) 0.489
๐Ÿ•ฎ  fluoxetine hydrochloride,(prescription) 0.489
๐Ÿ•ฎ  tolmetin sodium salt dihydrate,(prescription) 0.489
๐Ÿ•ฎ  piribedil hydrochloride,(prescription) 0.489
๐Ÿ•ฎ  emedastine,(prescription) 0.489
๐Ÿ•ฎ  rimexolone,(prescription) 0.489
๐Ÿ•ฎ  ciprofibrate,(prescription) 0.489
๐Ÿ•ฎ  ramipril,(prescription) 0.489
๐Ÿ•ฎ  olopatadine hydrochloride,(prescription) 0.489
๐Ÿ•ฎ  methacholine chloride,(prescription) 0.489
dioxybenzone non-drug 0.489
(s)-propranolol hydrochloride,(prescription) 0.489

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  lactulose 0.528
proton-pump inhibitors (prescription) 0.519
arabinogalactan (prebiotic) 0.514
raffinose(sugar beet) 0.419
vsl#3 (probiotics) 0.414
barley,oat 0.315
๐Ÿ•ฎ  inulin (prebiotic) 0.306
saccharomyces cerevisiae (probiotics) 0.3
ku ding cha tea 0.291
๐Ÿ•ฎ  berberine 0.289
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.284
apple 0.28
resistant starch 0.276
gynostemma pentaphyllum (Jiaogulan) 0.272
chondrus crispus,red sea weed 0.256
red wine 0.248
fish oil 0.246
bacillus subtilis (probiotics) 0.236
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.227
green-lipped mussel 0.217
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.214
๐Ÿ•ฎ  Cacao 0.21
Sijunzi decoction 0.209
sarcodiotheca gaudichaudii (red sea weed) 0.203
๐Ÿ•ฎ  norfloxacin (antibiotic)s 0.199
amaranth 0.197
๐Ÿ•ฎ  zinc 0.196
๐Ÿ•ฎ  lactobacillus gasseri (probiotics) 0.193
palm kernel meal 0.19
lincosamide (antibiotic)s 0.185
lividomycin (antibiotic)s 0.184
butirosin 0.184
๐Ÿ•ฎ  isepamicin (antibiotic)s 0.184
๐Ÿ•ฎ  lincomycin (antibiotic)s 0.182
macrolide ((antibiotic)s) 0.179
๐Ÿ•ฎ  pectin 0.167
Slippery Elm 0.164
๐Ÿ•ฎ  Pulses 0.159
๐Ÿ•ฎ  Bofutsushosan 0.158
ketogenic diet 0.147
non-starch polysaccharides 0.145
๐Ÿ•ฎ  glucose (sugar) 0.141
mediterranean diet 0.135
saccharomyces boulardii (probiotics) 0.133
green tea 0.131
Conjugated Linoleic Acid 0.13
๐Ÿ•ฎ  fruit 0.127
clostridium butyricum (probiotics),Miya,Miyarisan 0.126
almonds/ almond skins 0.126
wheat 0.125
fat 0.12
jerusalem artichoke (prebiotic) 0.117
resistant maltodextrin 0.117
cholic acid (bile acid) 0.116
animal-based diet 0.115
high fiber diet 0.114
barley 0.114
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.114
chemotherapy (prescription) 0.112
pea (fiber, protein) 0.112
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.

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