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: Physical: Steps Per Day 2000-4000 _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) 0.562  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.553  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.532  ๐Ÿ“
Caffeine 0.499
๐Ÿ•ฎ  Vitamin B-12 0.479  ๐Ÿ“
diosmin,(polyphenol) 0.474  ๐Ÿ“
Arbutin (polyphenol) 0.474  ๐Ÿ“
Theobromine (in food) 0.474
luteolin (flavonoid) 0.474  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.474  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.474
๐Ÿ•ฎ  vitamin B7, biotin 0.465  ๐Ÿ“
cinnamon (oil. spice) 0.411  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.397  ๐Ÿ“
vitamin B3,niacin 0.396  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.386
peppermint (spice, oil) 0.377
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.347  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.337  ๐Ÿ“
neem 0.321  ๐Ÿ“
sucralose 0.318  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.315  ๐Ÿ“
Vitamin B9,folic acid 0.28  ๐Ÿ“
Guaiacol (polyphenol) 0.277
rosmarinus officinalis,rosemary 0.262
๐Ÿ•ฎ  iron 0.26  ๐Ÿ“
Vitamin C (ascorbic acid) 0.252  ๐Ÿ“
linseed(flaxseed) 0.252  ๐Ÿ“
galla chinensis (herb) 0.229
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.217  ๐Ÿ“
syzygium aromaticum (clove) 0.207
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.207  ๐Ÿ“
foeniculum vulgare,fennel 0.203
aloe vera 0.194
lemongrass oil 0.194
whole-grain barley 0.191  ๐Ÿ“
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.191
trachyspermum ammi, Ajwain 0.189
Sumac(Rhus coriaria) 0.189
๐Ÿ•ฎ  ethanol 0.188
whey 0.18  ๐Ÿ“
glycyrrhizic acid (licorice) 0.175  ๐Ÿ“
Kimchi 0.173
๐Ÿ•ฎ  hypericin, St. John's Wort 0.172
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.172
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.17
nigella sativa seed (black cumin) 0.162  ๐Ÿ“
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.162
vegetable/fruit juice-based diets 0.161
salvia officinalis (sage) 0.149
mastic gum (prebiotic) 0.148  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium longum bb536 (probiotics) 0.145
laser trilobum l.,kefe cumin 0.144
oplopanax horridus(Devil's Club) 0.144
Curcumin 0.141  ๐Ÿ“
epicatechin 0.139
(+)-catechin 0.139
xylaria hypoxylon (fungi) 0.132
withania somnifera,ashwagandha 0.132  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei shirota (probiotics) 0.131  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  berberine 1
๐Ÿ•ฎ  inulin (prebiotic) 0.906
arabinogalactan (prebiotic) 0.722
red wine 0.577
Slippery Elm 0.475
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.435
cranberry bean flour 0.431
fasting 0.426
๐Ÿ•ฎ  lactulose 0.38
๐Ÿ•ฎ  Pulses 0.374
ketogenic diet 0.355
apple 0.355
low-fat diets 0.337
xylan (prebiotic) 0.327
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.318
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.305
vsl#3 (probiotics) 0.3
gynostemma pentaphyllum (Jiaogulan) 0.296
๐Ÿ•ฎ  grapes 0.292
barley 0.292
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.291
resistant maltodextrin 0.282
saccharin 0.276
๐Ÿ•ฎ  Akkermansia muciniphila (probiotic) 0.252
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.251
fish oil 0.243
non-starch polysaccharides 0.242
๐Ÿ•ฎ  black raspberries 0.239
bacillus licheniformis,(probiotics) 0.238
l-citrulline 0.237
wheat bran 0.23
pomegranate 0.229
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.227
grape seed extract 0.227
gallic acid (food additive) 0.22
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.219
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.219
๐Ÿ•ฎ  Bofutsushosan 0.201
๐Ÿ•ฎ  Astragalus polysaccharide 0.199
๐Ÿ•ฎ  pectin 0.196
high red meat 0.196
ku ding cha tea 0.196
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.196
quercetin,resveratrol 0.188
bacillus coagulans (probiotics) 0.179
triphala 0.179
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.176
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.171
resistant starch 0.169
levan 0.166
hypocaloric hyperproteic diet 0.164
barley,oat 0.164
walnuts 0.164
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.162
rhubarb 0.161
polydextrose 0.161
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.161
animal-based diet 0.155
polysorbate 80 0.155
๐Ÿ•ฎ  vitamin d 0.155
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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