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 : Dizziness_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
foeniculum vulgare,fennel 1
clostridium butyricum (probiotics),Miya,Miyarisan 0.965  ๐Ÿ“
laser trilobum l.,kefe cumin 0.872
๐Ÿ•ฎ  Vitamin B-12 0.764  ๐Ÿ“
Curcumin 0.735  ๐Ÿ“
cinnamon (oil. spice) 0.693  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.657  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.648  ๐Ÿ“
๐Ÿ•ฎ  hypericin, St. John's Wort 0.638
neem 0.632  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.612  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.612  ๐Ÿ“
nigella sativa seed (black cumin) 0.605  ๐Ÿ“
oregano (origanum vulgare, oil) | 0.591
vitamin B3,niacin 0.565  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.562  ๐Ÿ“
Caffeine 0.554
Theobromine (in food) 0.549
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.549  ๐Ÿ“
luteolin (flavonoid) 0.549  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.549
diosmin,(polyphenol) 0.549  ๐Ÿ“
Arbutin (polyphenol) 0.549  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.539  ๐Ÿ“
syzygium aromaticum (clove) 0.527
Vitamin C (ascorbic acid) 0.527  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.524  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.518  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.491  ๐Ÿ“
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.487
barley 0.486  ๐Ÿ“
rosmarinus officinalis,rosemary 0.479
oplopanax horridus(Devil's Club) 0.474
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.454  ๐Ÿ“
whey 0.452  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.447  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.42
Guaiacol (polyphenol) 0.389
schinus molle (herb) 0.382
Vitamin B9,folic acid 0.367  ๐Ÿ“
๐Ÿ•ฎ  selenium 0.352  ๐Ÿ“
bioflorin,enterococcus faecium sf 68,(probiotics) 0.351
mutaflor escherichia coli nissle 1917 (probiotics) 0.344  ๐Ÿ“
pediococcus acidilactic (probiotic) 0.341
tea 0.312
peppermint (spice, oil) 0.312
coriander oil 0.298
whole-grain barley 0.296  ๐Ÿ“
tannic acid 0.284
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.275  ๐Ÿ“
pomegranate 0.267  ๐Ÿ“
bacillus subtilis (probiotics) 0.266  ๐Ÿ“
quercetin 0.244  ๐Ÿ“
papaya 0.242
chitosan,(sugar) 0.231  ๐Ÿ“
soy 0.227  ๐Ÿ“
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.226  ๐Ÿ“
Lactobacillus Johnsonii (probiotic) 0.224  ๐Ÿ“
green tea 0.222
galla chinensis (herb) 0.221

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.881
aspartame (sweetner) 0.835
Slippery Elm 0.641
blueberry 0.584
arabinogalactan (prebiotic) 0.548
๐Ÿ•ฎ  berberine 0.546
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.469
non-starch polysaccharides 0.454
red wine 0.422
๐Ÿ•ฎ  Pulses 0.419
l-proline 0.358
symbioflor 2 e.coli probiotics 0.32
๐Ÿ•ฎ  inulin (prebiotic) 0.314
navy bean 0.308
levan 0.306
fasting 0.281
General Biotics Equilibrium 0.268
mediterranean diet 0.267
sodium butyrate 0.247
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.234
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.221
walnuts 0.215
xylan (prebiotic) 0.215
l-citrulline 0.21
wheat bran 0.204
๐Ÿ•ฎ  lactulose 0.198
salt (sodium chloride) 0.197
resistant maltodextrin 0.189
carob 0.184
๐Ÿ•ฎ  high-fat diets 0.181
Ferric citrate 0.181
green-lipped mussel 0.181
saccharin 0.178
ku ding cha tea 0.177
๐Ÿ•ฎ  iron 0.176
๐Ÿ•ฎ  Rutin 0.173
red alga Laurencia tristicha 0.165
high carbohydrate diet 0.16
colinfant e.coli probiotics 0.16
catecholamines (polyphenol) 0.16
l-glutamic acid 0.16
l-serine 0.16
beef 0.16
๐Ÿ•ฎ  glycine 0.157
๐Ÿ•ฎ  alcoholic beverages 0.154
low protein diet 0.153
high salt 0.151
vegetarians 0.139
fat 0.138
high fiber diet 0.137
pea (fiber, protein) 0.136
๐Ÿ•ฎ  bifidobacterium pseudocatenulatum,(probiotics) 0.136
๐Ÿ•ฎ  Burdock Root 0.134
raw potato starch 0.133
polysorbate 80 0.129
animal-based diet 0.128
bean 0.127
cvs maximum strength probiotic 0.127
gynostemma pentaphyllum (Jiaogulan) 0.125
Conjugated Linoleic Acid 0.124
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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