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 : Sore Throat_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) 0.518  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.518  ๐Ÿ“
Caffeine 0.507
Vitamin C (ascorbic acid) 0.437  ๐Ÿ“
Vitamin B9,folic acid 0.43  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.428  ๐Ÿ“
Arbutin (polyphenol) 0.407  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.407  ๐Ÿ“
Theobromine (in food) 0.407
luteolin (flavonoid) 0.407  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.407  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.407
diosmin,(polyphenol) 0.407  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.407  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.396  ๐Ÿ“
vitamin B3,niacin 0.386  ๐Ÿ“
neem 0.347  ๐Ÿ“
galla chinensis (herb) 0.347
sucralose 0.277  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.276
whole-grain barley 0.273  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.266  ๐Ÿ“
bacillus subtilis (probiotics) 0.25  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium longum,lactobacillus helveticus (probiotics) 0.247
pediococcus acidilactic (probiotic) 0.245
chitosan,(sugar) 0.243  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.231
๐Ÿ•ฎ  garlic (allium sativum) 0.222  ๐Ÿ“
Guaiacol (polyphenol) 0.22
๐Ÿ•ฎ  Cacao 0.218  ๐Ÿ“
foeniculum vulgare,fennel 0.21
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.208
Cranberry 0.2
clostridium butyricum (probiotics),Miya,Miyarisan 0.194  ๐Ÿ“
laser trilobum l.,kefe cumin 0.183
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.166
๐Ÿ•ฎ  cannabinoids 0.136
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.135
oplopanax horridus(Devil's Club) 0.135
nigella sativa seed (black cumin) 0.135  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus gasseri (probiotics) 0.133  ๐Ÿ“
cinnamon (oil. spice) 0.132  ๐Ÿ“
๐Ÿ•ฎ  Turmeric 0.122  ๐Ÿ“
sorghum 0.122
anise 0.122  ๐Ÿ“
peppermint (spice, oil) 0.122
๐Ÿ•ฎ  bifidobacterium lactis,streptococcus thermophilus probiotic 0.122
polyphenols 0.122  ๐Ÿ“
galla rhois 0.122
l-glutamine 0.12  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium animalis lactis (probiotics) 0.113  ๐Ÿ“
Trigonelline (found in Coffee) 0.111
Uva Ursi 0.111
marijuana 0.111
Pumpkin seed 0.111
Echinacea 0.111  ๐Ÿ“
Lemon peel 0.111
๐Ÿ•ฎ  Lemon Balm 0.111
Clove 0.111
๐Ÿ•ฎ  tulsi 0.111  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 1
๐Ÿ•ฎ  inulin (prebiotic) 0.71
๐Ÿ•ฎ  berberine 0.636
triphala 0.529
red wine 0.522
resistant starch 0.522
arabinogalactan (prebiotic) 0.445
stevia 0.375
saccharin 0.348
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.336
xylan (prebiotic) 0.334
non-starch polysaccharides 0.333
wheat bran 0.297
๐Ÿ•ฎ  Pulses 0.279
gallic acid (food additive) 0.275
l-citrulline 0.264
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.264
resistant maltodextrin 0.258
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.253
bacillus amyloliquefaciens (probiotic) 0.244
low-fat diets 0.242
๐Ÿ•ฎ  pectin 0.233
high red meat 0.233
apple 0.222
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.211
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.195
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.193
vegetarians 0.18
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.174
carboxymethyl cellulose (prebiotic) 0.163
hypocaloric hyperproteic diet 0.162
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.159
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.158
fish oil 0.153
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.151
๐Ÿ•ฎ  galactose (milk sugar) 0.151
ginko 0.15
bacillus licheniformis,(probiotics) 0.144
fasting 0.143
tannic acid 0.142
Psyllium (Plantago Ovata Husk) 0.14
plantago asiatica l. 0.136
levan 0.136
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.135
๐Ÿ•ฎ  lactulose 0.132
fibre-rich macrobiotic ma-pi 2 diet 0.132
animal-based diet 0.132
nuts 0.127
ku ding cha tea 0.123
๐Ÿ•ฎ  Tributyrin 0.123
๐Ÿ•ฎ  vitamin d 0.123
slow digestible carbohydrates 0.122
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.122
Alpha-Ketoglutarate 0.122
pea (fiber, protein) 0.122
gynostemma pentaphyllum (Jiaogulan) 0.122
๐Ÿ•ฎ  zinc 0.118
Pork 0.116
sugar 0.111
Carrot (juice) 0.111
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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