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: Neurocognitive: Problems remembering things_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) 0.393  ๐Ÿ“
๐Ÿ•ฎ  high-fat diets 0.291
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.289  ๐Ÿ“
sucralose 0.285  ๐Ÿ“
Caffeine 0.268
chitosan,(sugar) 0.264  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.252  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.248  ๐Ÿ“
Arbutin (polyphenol) 0.245  ๐Ÿ“
Theobromine (in food) 0.245
luteolin (flavonoid) 0.245  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.245  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.245
diosmin,(polyphenol) 0.245  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.237  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.228  ๐Ÿ“
Vitamin C (ascorbic acid) 0.218  ๐Ÿ“
low fodmap diet 0.203
vitamin B3,niacin 0.197  ๐Ÿ“
Vitamin B9,folic acid 0.193  ๐Ÿ“
Guaiacol (polyphenol) 0.154
magnesium-deficient diet 0.152
laminaria hyperborea( tangle/cuvie - seaweed) 0.152
galla chinensis (herb) 0.143
tea 0.132
๐Ÿ•ฎ  garlic (allium sativum) 0.124  ๐Ÿ“
low carbohydrate diet 0.123
gluten-free diet 0.119
ascophyllum nodosum (sea weed) 0.117
neem 0.113  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium lactis,streptococcus thermophilus probiotic 0.102
๐Ÿ•ฎ  high-saturated fat diet 0.099
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.093
laser trilobum l.,kefe cumin 0.089
high-protein diet 0.089
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.081
sorghum 0.076
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.073  ๐Ÿ“
๐Ÿ•ฎ  Dextrin 0.071  ๐Ÿ“
rice 0.07
oplopanax horridus(Devil's Club) 0.068
nigella sativa seed (black cumin) 0.068  ๐Ÿ“
Curcumin 0.066  ๐Ÿ“
Cranberry 0.064
red wine polyphenols 0.064  ๐Ÿ“
linseed(flaxseed) 0.064  ๐Ÿ“
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.063
salvia officinalis (sage) 0.063
๐Ÿ•ฎ  hypericin, St. John's Wort 0.061
lacto-ovo-vegetarian diet 0.061
Grapefruit seed extract 0.06
rare meat 0.059
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.058
๐Ÿ•ฎ  bifidobacterium longum bb536 (probiotics) 0.057
๐Ÿ•ฎ  Fisetin 0.055  ๐Ÿ“
red alga Laurencia tristicha 0.055
trachyspermum ammi, Ajwain 0.053
peppermint (spice, oil) 0.052
chamaemelum nobile,chamomile 0.051
๐Ÿ•ฎ  naringenin(grapefruit) (Flavonoid) 0.048

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.921
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.709
arabinogalactan (prebiotic) 0.709
soy 0.664
resistant starch 0.654
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.593
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.487
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.468
๐Ÿ•ฎ  Burdock Root 0.438
wheat bran 0.422
raffinose(sugar beet) 0.409
jerusalem artichoke (prebiotic) 0.4
๐Ÿ•ฎ  lactulose 0.379
red wine 0.36
almonds/ almond skins 0.353
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.345
ketogenic diet 0.344
sesame cake/meal 0.326
๐Ÿ•ฎ  Glucomannan 0.325
bacillus subtilis (probiotics) 0.316
apple 0.31
๐Ÿ•ฎ  Pulses 0.292
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.283
๐Ÿ•ฎ  gum arabic (prebiotic) 0.279
clostridium butyricum (probiotics),Miya,Miyarisan 0.275
wheat 0.265
๐Ÿ•ฎ  pectin 0.265
daesiho-tang 0.262
barley,oat 0.261
mediterranean diet 0.257
green tea 0.256
Slippery Elm 0.25
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.247
high fiber diet 0.242
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.242
chondrus crispus,red sea weed 0.239
magnesium 0.237
๐Ÿ•ฎ  zinc 0.237
navy bean 0.235
fish oil 0.231
fasting 0.225
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.219
blueberry 0.219
๐Ÿ•ฎ  noni 0.213
Conjugated Linoleic Acid 0.209
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.207
Lactobacillus Johnsonii (probiotic) 0.204
barley 0.2
plantago asiatica l. 0.2
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.197
pea (fiber, protein) 0.196
resistant maltodextrin 0.194
l-proline 0.189
๐Ÿ•ฎ  vitamin d 0.185
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.184
pomegranate 0.182
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.177
chicory (prebiotic) 0.177
๐Ÿ•ฎ  galactose (milk sugar) 0.171
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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