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: Neuroendocrine: Alcohol intolerance_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  Hesperidin (polyphenol) 0.536  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.536  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.477  ๐Ÿ“
Caffeine 0.444
๐Ÿ•ฎ  Vitamin B-12 0.413  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.412  ๐Ÿ“
sucralose 0.399  ๐Ÿ“
chitosan,(sugar) 0.386  ๐Ÿ“
Theobromine (in food) 0.381
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.381  ๐Ÿ“
luteolin (flavonoid) 0.381  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.381
diosmin,(polyphenol) 0.381  ๐Ÿ“
Arbutin (polyphenol) 0.381  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.363  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.35  ๐Ÿ“
vitamin B3,niacin 0.325  ๐Ÿ“
Vitamin B9,folic acid 0.313  ๐Ÿ“
Vitamin C (ascorbic acid) 0.283  ๐Ÿ“
peppermint (spice, oil) 0.275
cinnamon (oil. spice) 0.272  ๐Ÿ“
neem 0.27  ๐Ÿ“
galla chinensis (herb) 0.267
Guaiacol (polyphenol) 0.263
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.254  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.244
foeniculum vulgare,fennel 0.239
Hawthorn [Crataegus monogyna Jacq.,Crataegus oxyacantha L] 0.229
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.226
tea 0.212
low fodmap diet 0.207
laminaria hyperborea( tangle/cuvie - seaweed) 0.207
๐Ÿ•ฎ  hypericin, St. John's Wort 0.183
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.171
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.171  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium lactis,streptococcus thermophilus probiotic 0.169
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.163
Curcumin 0.162  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium infantis,(probiotics) 0.156  ๐Ÿ“
laser trilobum l.,kefe cumin 0.155
camelina seed 0.149
magnesium-deficient diet 0.143
glycyrrhizic acid (licorice) 0.143  ๐Ÿ“
chitooligosaccharides (prebiotic) 0.143  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus bulgaricus (probiotics) 0.138
๐Ÿ•ฎ  bifidobacterium longum bb536 (probiotics) 0.136
๐Ÿ•ฎ  bifidobacterium breve (probiotic) 0.136  ๐Ÿ“
aloe vera 0.13
lemongrass oil 0.128
๐Ÿ•ฎ  bifidobacterium animalis lactis (probiotics) 0.127  ๐Ÿ“
whole-grain barley 0.125  ๐Ÿ“
sorghum 0.122
quercetin,resveratrol 0.121
low carbohydrate diet 0.117
๐Ÿ•ฎ  tulsi 0.115  ๐Ÿ“
ascophyllum nodosum (sea weed) 0.111
Cranberry 0.111
chamaemelum nobile,chamomile 0.111
๐Ÿ•ฎ  high-saturated fat diet 0.111
high animal protein diet 0.11

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.89
arabinogalactan (prebiotic) 0.886
resistant starch 0.761
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.73
Slippery Elm 0.571
๐Ÿ•ฎ  lactulose 0.544
red wine 0.515
soy 0.496
wheat bran 0.472
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.437
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.407
raffinose(sugar beet) 0.382
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.374
apple 0.37
jerusalem artichoke (prebiotic) 0.369
๐Ÿ•ฎ  Pulses 0.364
๐Ÿ•ฎ  pectin 0.355
chondrus crispus,red sea weed 0.321
almonds/ almond skins 0.316
ku ding cha tea 0.313
xylan (prebiotic) 0.297
sesame cake/meal 0.292
wheat 0.288
๐Ÿ•ฎ  Burdock Root 0.286
mediterranean diet 0.277
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.276
barley,oat 0.274
๐Ÿ•ฎ  Glucomannan 0.272
resistant maltodextrin 0.271
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.265
saccharin 0.26
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.249
ketogenic diet 0.247
high red meat 0.244
๐Ÿ•ฎ  gum arabic (prebiotic) 0.236
๐Ÿ•ฎ  zinc 0.234
fasting 0.233
daesiho-tang 0.232
l-proline 0.23
๐Ÿ•ฎ  berberine 0.227
triphala 0.222
non-starch polysaccharides 0.222
grape seed extract 0.221
pea (fiber, protein) 0.22
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.218
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.217
green tea 0.216
blueberry 0.216
vsl#3 (probiotics) 0.213
l-citrulline 0.211
plantago asiatica l. 0.211
high fiber diet 0.207
gallic acid (food additive) 0.206
fish oil 0.205
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.203
bacillus subtilis (probiotics) 0.203
magnesium 0.202
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.193
๐Ÿ•ฎ  Prescript Assist (2018 Formula) 0.191
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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