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: Comorbid: Constipation and Explosions (not diarrohea)_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

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) 0.463  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.387  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.373  ๐Ÿ“
Caffeine 0.369
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.365  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.353
Arbutin (polyphenol) 0.353  ๐Ÿ“
Theobromine (in food) 0.353
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.353  ๐Ÿ“
luteolin (flavonoid) 0.353  ๐Ÿ“
diosmin,(polyphenol) 0.353  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.347  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.346  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.331  ๐Ÿ“
vitamin B3,niacin 0.305  ๐Ÿ“
sucralose 0.279  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.278
Guaiacol (polyphenol) 0.262
neem 0.252  ๐Ÿ“
tea 0.25
Vitamin B9,folic acid 0.243  ๐Ÿ“
peppermint (spice, oil) 0.233
galla chinensis (herb) 0.225
cinnamon (oil. spice) 0.22  ๐Ÿ“
Vitamin C (ascorbic acid) 0.218  ๐Ÿ“
chitosan,(sugar) 0.204  ๐Ÿ“
laminaria hyperborea( tangle/cuvie - seaweed) 0.193
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.181
lemongrass oil 0.163
low fodmap diet 0.151
๐Ÿ•ฎ  high-fat diets 0.15
magnesium-deficient diet 0.147
foeniculum vulgare,fennel 0.146
๐Ÿ•ฎ  hypericin, St. John's Wort 0.146
laser trilobum l.,kefe cumin 0.127
๐Ÿ•ฎ  Perilla frutescens(shiso) 0.126  ๐Ÿ“
mastic gum (prebiotic) 0.117  ๐Ÿ“
syzygium aromaticum (clove) 0.117
Curcumin 0.116  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium lactis,streptococcus thermophilus probiotic 0.11
low carbohydrate diet 0.108
trachyspermum ammi, Ajwain 0.106
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.103
Hawthorn [Crataegus monogyna Jacq.,Crataegus oxyacantha L] 0.103
Sumac(Rhus coriaria) 0.102
gluten-free diet 0.102
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.099  ๐Ÿ“
nigella sativa seed (black cumin) 0.098  ๐Ÿ“
aloe vera 0.097
coriander oil 0.095
sorghum 0.095
๐Ÿ•ฎ  vitamin d 0.093  ๐Ÿ“
glycyrrhizic acid (licorice) 0.093  ๐Ÿ“
Umeboshi (Japanese Apricot or Prunus mume ) 0.092
๐Ÿ•ฎ  fluorine 0.089
chitooligosaccharides (prebiotic) 0.086  ๐Ÿ“
๐Ÿ•ฎ  high-saturated fat diet 0.083
ascophyllum nodosum (sea weed) 0.082
high-protein diet 0.082
vegetable/fruit juice-based diets 0.08

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.718
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.707
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.7
๐Ÿ•ฎ  lactulose 0.567
resistant starch 0.548
soy 0.541
apple 0.435
raffinose(sugar beet) 0.427
wheat bran 0.412
bacillus subtilis (probiotics) 0.398
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.394
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.389
Slippery Elm 0.378
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.362
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.336
jerusalem artichoke (prebiotic) 0.332
red wine 0.304
almonds/ almond skins 0.303
๐Ÿ•ฎ  Glucomannan 0.299
๐Ÿ•ฎ  pectin 0.292
mediterranean diet 0.29
๐Ÿ•ฎ  Pulses 0.289
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.287
sesame cake/meal 0.268
barley,oat 0.264
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.254
fasting 0.245
๐Ÿ•ฎ  gum arabic (prebiotic) 0.237
fish oil 0.235
chondrus crispus,red sea weed 0.234
๐Ÿ•ฎ  Burdock Root 0.228
blueberry 0.22
ku ding cha tea 0.217
pea (fiber, protein) 0.216
ketogenic diet 0.214
Conjugated Linoleic Acid 0.214
๐Ÿ•ฎ  bifidobacterium bifidum (probiotics) 0.213
vsl#3 (probiotics) 0.211
high fiber diet 0.207
clostridium butyricum (probiotics),Miya,Miyarisan 0.207
wheat 0.206
๐Ÿ•ฎ  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.204
๐Ÿ•ฎ  berberine 0.191
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.191
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.188
oats 0.185
magnesium 0.183
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.181
๐Ÿ•ฎ  zinc 0.18
daesiho-tang 0.177
green tea 0.177
resistant maltodextrin 0.174
plantago asiatica l. 0.174
fat 0.172
whey 0.167
๐Ÿ•ฎ  galactose (milk sugar) 0.166
l-proline 0.163
non-starch polysaccharides 0.162
xylan (prebiotic) 0.161
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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