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: DePaul University Fatigue Questionnaire : Impaired Memory
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.

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) 0.472  ๐Ÿ“
vitamin B3,niacin 0.408  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.381  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.372  ๐Ÿ“
diosmin,(polyphenol) 0.372  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.372
Theobromine (in food) 0.372
luteolin (flavonoid) 0.372  ๐Ÿ“
Arbutin (polyphenol) 0.372  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.368  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.367  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.361  ๐Ÿ“
Caffeine 0.357
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.352  ๐Ÿ“
Guaiacol (polyphenol) 0.329
Vitamin B9,folic acid 0.317  ๐Ÿ“
sucralose 0.276  ๐Ÿ“
๐Ÿ•ฎ  high-fat diets 0.267
laminaria hyperborea( tangle/cuvie - seaweed) 0.264
tea 0.262
Vitamin C (ascorbic acid) 0.251  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.243  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.231
galla chinensis (herb) 0.228
magnesium-deficient diet 0.222
peppermint (spice, oil) 0.19
low carbohydrate diet 0.163
neem 0.163  ๐Ÿ“
stevia 0.16  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.156
chitosan,(sugar) 0.153  ๐Ÿ“
mastic gum (prebiotic) 0.15  ๐Ÿ“
low fodmap diet 0.147
Curcumin 0.137  ๐Ÿ“
lemongrass oil 0.135
bacillus laterosporus (probiotic) 0.134
gluten-free diet 0.124
Sumac(Rhus coriaria) 0.117
Umeboshi (Japanese Apricot or Prunus mume ) 0.117
high-protein diet 0.115
๐Ÿ•ฎ  Perilla frutescens(shiso) 0.114  ๐Ÿ“
annatto 0.113
trachyspermum ammi, Ajwain 0.11
syzygium aromaticum (clove) 0.107
cinnamon (oil. spice) 0.102  ๐Ÿ“
carboxymethyl cellulose (prebiotic) 0.095
๐Ÿ•ฎ  hypericin, St. John's Wort 0.095
Hawthorn [Crataegus monogyna Jacq.,Crataegus oxyacantha L] 0.091
coriander oil 0.091
saccharin 0.088  ๐Ÿ“
epicatechin 0.087
๐Ÿ•ฎ  vitamin d 0.087  ๐Ÿ“
๐Ÿ•ฎ  fluorine 0.086
rice 0.083
aloe vera 0.083
๐Ÿ•ฎ  bifidobacterium lactis,streptococcus thermophilus probiotic 0.083
rare meat 0.082
red alga Laurencia tristicha 0.082
laser trilobum l.,kefe cumin 0.08
๐Ÿ•ฎ  high-saturated fat diet 0.077

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.745
arabinogalactan (prebiotic) 0.734
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.69
๐Ÿ•ฎ  lactulose 0.609
soy 0.573
raffinose(sugar beet) 0.47
wheat bran 0.46
bacillus subtilis (probiotics) 0.457
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.452
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.451
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.433
resistant starch 0.405
apple 0.402
mediterranean diet 0.385
almonds/ almond skins 0.378
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.361
๐Ÿ•ฎ  Glucomannan 0.36
sesame cake/meal 0.354
jerusalem artichoke (prebiotic) 0.332
๐Ÿ•ฎ  Burdock Root 0.291
barley,oat 0.289
red wine 0.289
๐Ÿ•ฎ  Pulses 0.288
๐Ÿ•ฎ  gum arabic (prebiotic) 0.286
ketogenic diet 0.27
chondrus crispus,red sea weed 0.267
Conjugated Linoleic Acid 0.266
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.264
blueberry 0.254
magnesium 0.25
whey 0.247
navy bean 0.246
daesiho-tang 0.246
๐Ÿ•ฎ  Cacao 0.245
clostridium butyricum (probiotics),Miya,Miyarisan 0.241
๐Ÿ•ฎ  pectin 0.241
wheat 0.231
green tea 0.228
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.225
pea (fiber, protein) 0.224
Slippery Elm 0.224
high fiber diet 0.224
fish oil 0.215
Lactobacillus Johnsonii (probiotic) 0.205
vsl#3 (probiotics) 0.199
pomegranate 0.198
fat 0.195
fasting 0.194
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.194
oats 0.19
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.179
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.171
l-proline 0.171
green-lipped mussel 0.164
xylan (prebiotic) 0.164
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.164
ku ding cha tea 0.16
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.159
quercetin 0.158
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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