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: Immune Manifestations: Mucus in the stool_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) 0.431  ๐Ÿ“
diosmin,(polyphenol) 0.329  ๐Ÿ“
Arbutin (polyphenol) 0.329  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.329  ๐Ÿ“
luteolin (flavonoid) 0.329  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.329
Theobromine (in food) 0.329
vitamin B3,niacin 0.328  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.324  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.316  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.315  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.313  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.29  ๐Ÿ“
๐Ÿ•ฎ  high-fat diets 0.284
Caffeine 0.278
Guaiacol (polyphenol) 0.273
tea 0.269
Vitamin B9,folic acid 0.261  ๐Ÿ“
sucralose 0.259  ๐Ÿ“
laminaria hyperborea( tangle/cuvie - seaweed) 0.251
magnesium-deficient diet 0.237
Vitamin C (ascorbic acid) 0.223  ๐Ÿ“
galla chinensis (herb) 0.2
stevia 0.166  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.166
chitosan,(sugar) 0.161  ๐Ÿ“
bacillus laterosporus (probiotic) 0.144
neem 0.14  ๐Ÿ“
low carbohydrate diet 0.134
Curcumin 0.133  ๐Ÿ“
low fodmap diet 0.12
saccharin 0.119  ๐Ÿ“
gluten-free diet 0.113
peppermint (spice, oil) 0.113
annatto 0.111
๐Ÿ•ฎ  hypericin, St. John's Wort 0.107
๐Ÿ•ฎ  garlic (allium sativum) 0.106  ๐Ÿ“
salt (sodium chloride) 0.106
red alga Laurencia tristicha 0.104
laser trilobum l.,kefe cumin 0.101
trachyspermum ammi, Ajwain 0.099
high-protein diet 0.097
glycyrrhizic acid (licorice) 0.091  ๐Ÿ“
Umeboshi (Japanese Apricot or Prunus mume ) 0.089
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.089
tannic acid 0.088
mastic gum (prebiotic) 0.088  ๐Ÿ“
Sumac(Rhus coriaria) 0.088
sorghum 0.087
syzygium aromaticum (clove) 0.085
๐Ÿ•ฎ  Dextrin 0.084  ๐Ÿ“
rare meat 0.083
lemongrass oil 0.083
cadium 0.078
cherry 0.078
aloe vera 0.077
๐Ÿ•ฎ  high-saturated fat diet 0.077
Hawthorn [Crataegus monogyna Jacq.,Crataegus oxyacantha L] 0.075
๐Ÿ•ฎ  Perilla frutescens(shiso) 0.072  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium lactis,streptococcus thermophilus probiotic 0.069

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.689
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.654
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.648
soy 0.633
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.623
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.62
๐Ÿ•ฎ  lactulose 0.527
bacillus subtilis (probiotics) 0.5
๐Ÿ•ฎ  Burdock Root 0.499
๐Ÿ•ฎ  Cacao 0.457
resistant starch 0.449
raffinose(sugar beet) 0.443
wheat bran 0.43
almonds/ almond skins 0.4
sesame cake/meal 0.383
apple 0.371
jerusalem artichoke (prebiotic) 0.369
Conjugated Linoleic Acid 0.359
Lactobacillus Johnsonii (probiotic) 0.344
๐Ÿ•ฎ  Glucomannan 0.337
mediterranean diet 0.328
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.314
blueberry 0.313
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.309
๐Ÿ•ฎ  gum arabic (prebiotic) 0.308
red wine 0.299
walnuts 0.294
barley,oat 0.291
barley 0.283
navy bean 0.267
daesiho-tang 0.265
magnesium 0.263
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.26
clostridium butyricum (probiotics),Miya,Miyarisan 0.255
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.254
๐Ÿ•ฎ  noni 0.254
high fiber diet 0.251
whey 0.251
pomegranate 0.249
fish oil 0.243
๐Ÿ•ฎ  pectin 0.236
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.233
pea (fiber, protein) 0.232
๐Ÿ•ฎ  Pulses 0.231
ketogenic diet 0.215
fat 0.211
fasting 0.209
l-proline 0.209
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.208
Slippery Elm 0.201
green tea 0.199
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.187
plantago asiatica l. 0.186
chondrus crispus,red sea weed 0.177
wheat 0.173
๐Ÿ•ฎ  wasabi 0.172
oregano (origanum vulgare, oil) | 0.168
๐Ÿ•ฎ  zinc 0.167
laminaria digitata,oarweed - seaweed 0.166
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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