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: Autonomic: Graying or blacking out after standing_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  gentamicin (antibiotic)s 1
๐Ÿ•ฎ  vancomycin (antibiotic)[CFS] 0.939
๐Ÿ•ฎ  piperacillin-tazobactam (antibiotic)s 0.865
๐Ÿ•ฎ  benzylpenicillin sodium (antibiotic) 0.726
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.687
๐Ÿ•ฎ  imipenem (antibiotic)s 0.641
๐Ÿ•ฎ  amoxicillin (antibiotic)s[CFS] 0.617
๐Ÿ•ฎ  meropenem (antibiotic)s 0.588
cinnamon (oil. spice) 0.586  ๐Ÿ“
๐Ÿ•ฎ  ciprofloxacin (antibiotic)s[CFS] 0.579
๐Ÿ•ฎ  ampicillin (antibiotic)s[CFS] 0.52
syzygium aromaticum (clove) 0.511
๐Ÿ•ฎ  hyoscyamine (l),(prescription) 0.494
neem 0.494  ๐Ÿ“
๐Ÿ•ฎ  tobramycin (antibiotic)s 0.462
๐Ÿ•ฎ  minocycline (antibiotic)s[CFS] 0.449
fluoroquinolone (antibiotic)s 0.418
๐Ÿ•ฎ  tetracycline (antibiotic)s 0.401
๐Ÿ•ฎ  glycerol monolaurate (Monolaurin) 0.392
๐Ÿ•ฎ  tigecycline (antibiotic)s 0.365
๐Ÿ•ฎ  garlic (allium sativum) 0.358  ๐Ÿ“
trachyspermum ammi, Ajwain 0.353
๐Ÿ•ฎ  trimethoprim (antibiotic)s 0.348
peppermint (spice, oil) 0.348
๐Ÿ•ฎ  risperidone,(prescription) 0.337
foeniculum vulgare,fennel 0.336
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.327  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.326  ๐Ÿ“
๐Ÿ•ฎ  streptomycin (antibiotic)s 0.322
๐Ÿ•ฎ  nitrofurantoin (antibiotic) 0.319
rosmarinus officinalis,rosemary 0.314
๐Ÿ•ฎ  alverine citrate salt,(prescription) 0.303
๐Ÿ•ฎ  naproxen,(prescription) 0.3
lemongrass oil 0.298
saccharin 0.297  ๐Ÿ“
salvia officinalis (sage) 0.285
๐Ÿ•ฎ  spectinomycin dihydrochloride (antibiotic) 0.281
๐Ÿ•ฎ  clindamycin (antibiotic)s[CFS] 0.278
๐Ÿ•ฎ  fenbendazole,(prescription) 0.276
๐Ÿ•ฎ  reboxetine mesylate,(prescription) 0.276
galla chinensis (herb) 0.275
aloe vera 0.273
๐Ÿ•ฎ  doxycycline (antibiotic)s[CFS] 0.266
Curcumin 0.262  ๐Ÿ“
๐Ÿ•ฎ  itraconazole,(prescription) 0.258
๐Ÿ•ฎ  ketoconazole,(prescription) 0.258
๐Ÿ•ฎ  sulfamethoxazole (antibiotic) 0.258
Caffeine 0.258
๐Ÿ•ฎ  chloramphenicol (antibiotic)s 0.258
๐Ÿ•ฎ  estradiol valerate,(prescription) 0.256
๐Ÿ•ฎ  neomycin (antibiotic)s[CFS] 0.254
๐Ÿ•ฎ  ibuprofen 0.252
clofilium tosylate,(prescription) 0.25
valproic acid,(prescription) 0.25
๐Ÿ•ฎ  ritodrine hydrochloride,(prescription) 0.25
adamantamine fumarate,(prescription) 0.25
๐Ÿ•ฎ  cisapride,(prescription) 0.25
๐Ÿ•ฎ  fluvastatin sodium salt,(prescription) 0.25
ibandronate sodium,(prescription) 0.25
๐Ÿ•ฎ  dihydroergotamine tartrate,(prescription) 0.25

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 0.577
๐Ÿ•ฎ  lactulose 0.476
proton-pump inhibitors (prescription) 0.462
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.457
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.455
arabinogalactan (prebiotic) 0.443
raffinose(sugar beet) 0.391
apple 0.35
bacillus subtilis (probiotics) 0.319
๐Ÿ•ฎ  metformin (prescription) 0.287
fasting 0.282
vsl#3 (probiotics) 0.269
wheat bran 0.261
Lactobacillus Johnsonii (probiotic) 0.239
barley 0.229
ketogenic diet 0.224
macrolide ((antibiotic)s) 0.22
pomegranate 0.213
red wine 0.212
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.211
fish oil 0.208
Conjugated Linoleic Acid 0.193
pea (fiber, protein) 0.189
barley,oat 0.183
high sugar diet 0.178
jerusalem artichoke (prebiotic) 0.175
๐Ÿ•ฎ  Pulses 0.172
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.171
Slippery Elm 0.166
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.164
blueberry 0.16
almonds/ almond skins 0.159
mediterranean diet 0.158
sesame cake/meal 0.157
๐Ÿ•ฎ  gum arabic (prebiotic) 0.156
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.152
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.15
palm kernel meal 0.15
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.147
๐Ÿ•ฎ  pectin 0.145
walnuts 0.144
๐Ÿ•ฎ  Astragalus polysaccharide 0.141
๐Ÿ•ฎ  black raspberries 0.139
gynostemma pentaphyllum (Jiaogulan) 0.136
cranberry bean flour 0.136
low-fat diets 0.136
๐Ÿ•ฎ  Ginseng 0.134
๐Ÿ•ฎ  Burdock Root 0.134
daesiho-tang 0.132
xylan (prebiotic) 0.13
amaranth 0.13
๐Ÿ•ฎ  grapes 0.125
high red meat 0.121
lincosamide (antibiotic)s 0.121
sodium butyrate 0.119
fat 0.119
laminaria digitata,oarweed - seaweed 0.119
magnesium 0.115
๐Ÿ•ฎ  noni 0.114
๐Ÿ•ฎ  lactobacillus gasseri (probiotics) 0.11
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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