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: Pain: Aching of the eyes or behind the eyes_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) 0.569  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.49  ๐Ÿ“
vitamin B3,niacin 0.432  ๐Ÿ“
Caffeine 0.425
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.423  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.411  ๐Ÿ“
Arbutin (polyphenol) 0.411  ๐Ÿ“
luteolin (flavonoid) 0.411  ๐Ÿ“
Theobromine (in food) 0.411
retinoic acid,(Vitamin A derivative) 0.411
diosmin,(polyphenol) 0.411  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.411  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.411  ๐Ÿ“
sucralose 0.394  ๐Ÿ“
neem 0.364  ๐Ÿ“
galla chinensis (herb) 0.348
foeniculum vulgare,fennel 0.324
Vitamin C (ascorbic acid) 0.32  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.297
๐Ÿ•ฎ  high-fat diets 0.292
Vitamin B9,folic acid 0.27  ๐Ÿ“
๐Ÿ•ฎ  ethanol 0.258
Guaiacol (polyphenol) 0.239
๐Ÿ•ฎ  bifidobacterium longum,lactobacillus helveticus (probiotics) 0.231
nigella sativa seed (black cumin) 0.224  ๐Ÿ“
Carthamus tinctorius L,Safflower 0.222
oplopanax horridus(Devil's Club) 0.212
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.204
๐Ÿ•ฎ  hypericin, St. John's Wort 0.204
๐Ÿ•ฎ  melatonin supplement 0.192  ๐Ÿ“
๐Ÿ•ฎ  Cacao 0.183  ๐Ÿ“
whole-grain barley 0.165  ๐Ÿ“
Kimchi 0.15
linseed(flaxseed) 0.15  ๐Ÿ“
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.147
tea 0.146
chitosan,(sugar) 0.137  ๐Ÿ“
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.137
sorghum 0.136
๐Ÿ•ฎ  garlic (allium sativum) 0.136  ๐Ÿ“
laser trilobum l.,kefe cumin 0.136
peppermint (spice, oil) 0.135
mastic gum (prebiotic) 0.133  ๐Ÿ“
laminaria hyperborea( tangle/cuvie - seaweed) 0.13
rosa rugosa 0.118
magnesium-deficient diet 0.118
polyphenols 0.116  ๐Ÿ“
๐Ÿ•ฎ  Nicotine, Nicotine Patch 0.108
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.108  ๐Ÿ“
๐Ÿ•ฎ  naringenin(grapefruit) (Flavonoid) 0.105
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.103
chamaemelum nobile,chamomile 0.103
gluten-free diet 0.102
epicatechin 0.101
clostridium butyricum (probiotics),Miya,Miyarisan 0.099  ๐Ÿ“
Sumac(Rhus coriaria) 0.099
cadium 0.096
Boldo 0.093
๐Ÿ•ฎ  tulsi 0.093  ๐Ÿ“
Bilberry 0.093  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.665
red wine 0.597
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.56
๐Ÿ•ฎ  berberine 0.549
ketogenic diet 0.546
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.542
fasting 0.498
cranberry bean flour 0.497
wheat bran 0.483
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.48
pomegranate 0.465
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.429
resistant starch 0.409
๐Ÿ•ฎ  vitamin d 0.388
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.381
๐Ÿ•ฎ  Burdock Root 0.378
Slippery Elm 0.363
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.357
๐Ÿ•ฎ  lactulose 0.349
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.344
low-fat diets 0.343
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.321
apple 0.32
bacillus licheniformis,(probiotics) 0.315
๐Ÿ•ฎ  grapes 0.312
saccharin 0.309
๐Ÿ•ฎ  Pulses 0.306
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.301
xylan (prebiotic) 0.299
pea (fiber, protein) 0.297
๐Ÿ•ฎ  zinc 0.296
blueberry 0.291
mediterranean diet 0.287
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.285
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.28
barley 0.277
navy bean 0.268
soy 0.265
bacillus amyloliquefaciens (probiotic) 0.261
๐Ÿ•ฎ  Glucomannan 0.256
grape seed extract 0.256
Conjugated Linoleic Acid 0.255
๐Ÿ•ฎ  black raspberries 0.255
๐Ÿ•ฎ  pectin 0.252
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.252
fish oil 0.25
carboxymethyl cellulose (prebiotic) 0.248
daesiho-tang 0.247
high red meat 0.246
๐Ÿ•ฎ  Akkermansia muciniphila (probiotic) 0.246
stevia 0.246
Lactobacillus Johnsonii (probiotic) 0.242
resistant maltodextrin 0.239
l-citrulline 0.237
non-starch polysaccharides 0.229
raffinose(sugar beet) 0.229
gallic acid (food additive) 0.228
almonds/ almond skins 0.206
quercetin,resveratrol 0.201
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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Permission to data scrap or reverse engineer is explicitly denied to all users. U.S. Code Title 18 PART I CHAPTER 47 ยงโ€ฏ1030, CETS No.185, CFAA
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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