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: Blurred or tunnel vision after standing_No_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.

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  thyme (thymol, thyme oil) 1
cinnamon (oil. spice) 0.807  ๐Ÿ“
syzygium aromaticum (clove) 0.747
neem 0.655  ๐Ÿ“
foeniculum vulgare,fennel 0.648
salvia officinalis (sage) 0.561
sucralose 0.489  ๐Ÿ“
green tea 0.478
trachyspermum ammi, Ajwain 0.448
saccharin 0.447  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.443  ๐Ÿ“
bacopa monnieri 0.423  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.421  ๐Ÿ“
oregano (origanum vulgare, oil) | 0.416
cadium 0.405
Vitamin B9,folic acid 0.402  ๐Ÿ“
Curcumin 0.401  ๐Ÿ“
larrea tridentata( creosote bush, greasewood) 0.384
eucalyptus globulus,Tasmanian blue gum 0.384
coleus forskohlii 0.384
aloe vera 0.379
rosa rugosa 0.371
nigella sativa seed (black cumin) 0.353  ๐Ÿ“
olea europaea,olive leaf 0.352  ๐Ÿ“
galla chinensis (herb) 0.347
tea 0.344
rosmarinus officinalis,rosemary 0.343
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.33
lemongrass oil 0.328
Caffeine 0.324
coptis chinensis, Chinese goldthread 0.313
๐Ÿ•ฎ  melatonin supplement 0.311  ๐Ÿ“
peppermint (spice, oil) 0.301
vitamin B3,niacin 0.3  ๐Ÿ“
peganum harmala (rue) 0.299
๐Ÿ•ฎ  garlic (allium sativum) 0.299  ๐Ÿ“
๐Ÿ•ฎ  berberine 0.298  ๐Ÿ“
๐Ÿ•ฎ  high-fat diets 0.28
๐Ÿ•ฎ  Cacao 0.278  ๐Ÿ“
Arbutin (polyphenol) 0.268  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.268  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.268  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.268
diosmin,(polyphenol) 0.268  ๐Ÿ“
luteolin (flavonoid) 0.268  ๐Ÿ“
Theobromine (in food) 0.268
salt (sodium chloride) 0.257
oplopanax horridus(Devil's Club) 0.254
๐Ÿ•ฎ  hypericin, St. John's Wort 0.243
laser trilobum l.,kefe cumin 0.241
trametes versicolor(Turkey tail mushroom) 0.24
sorghum 0.231
coriander oil 0.225
bacillus laterosporus (probiotic) 0.223
hyperiform 0.215
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.213
laminaria hyperborea( tangle/cuvie - seaweed) 0.213
magnesium-deficient diet 0.213
๐Ÿ•ฎ  Vitamin B-12 0.208  ๐Ÿ“
Sumac(Rhus coriaria) 0.207

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 0.971
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.88
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.843
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.815
arabinogalactan (prebiotic) 0.673
๐Ÿ•ฎ  lactulose 0.624
bacillus subtilis (probiotics) 0.618
resistant starch 0.585
wheat bran 0.561
raffinose(sugar beet) 0.551
Lactobacillus Johnsonii (probiotic) 0.521
apple 0.512
navy bean 0.507
mediterranean diet 0.494
๐Ÿ•ฎ  Burdock Root 0.487
soy 0.47
pea (fiber, protein) 0.456
Slippery Elm 0.435
๐Ÿ•ฎ  Pulses 0.408
fat 0.4
Conjugated Linoleic Acid 0.37
almonds/ almond skins 0.362
๐Ÿ•ฎ  gum arabic (prebiotic) 0.36
sesame cake/meal 0.357
barley 0.349
ketogenic diet 0.346
jerusalem artichoke (prebiotic) 0.336
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.333
๐Ÿ•ฎ  pectin 0.321
fasting 0.312
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.309
red wine 0.306
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.303
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.294
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.289
xylan (prebiotic) 0.282
blueberry 0.282
non-starch polysaccharides 0.276
๐Ÿ•ฎ  Ginseng 0.262
laminaria digitata,oarweed - seaweed 0.262
high red meat 0.258
๐Ÿ•ฎ  noni 0.254
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.25
barley,oat 0.248
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.245
๐Ÿ•ฎ  zinc 0.242
magnesium 0.24
whey 0.234
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.23
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.228
pomegranate 0.22
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.219
l-citrulline 0.219
blackcurrant 0.215
Alpha-Ketoglutarate 0.211
๐Ÿ•ฎ  galactose (milk sugar) 0.207
plantago asiatica l. 0.194
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.193
sodium butyrate 0.188
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.184
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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