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: Post-exertional malaise: Mentally tired after the slightest effort_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
foeniculum vulgare,fennel 1
nigella sativa seed (black cumin) 0.778  ๐Ÿ“
๐Ÿ•ฎ  hypericin, St. John's Wort 0.753
laser trilobum l.,kefe cumin 0.711
cinnamon (oil. spice) 0.688  ๐Ÿ“
oregano (origanum vulgare, oil) | 0.685
๐Ÿ•ฎ  garlic (allium sativum) 0.671  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.618
clostridium butyricum (probiotics),Miya,Miyarisan 0.587  ๐Ÿ“
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.583
oplopanax horridus(Devil's Club) 0.567
neem 0.549  ๐Ÿ“
syzygium aromaticum (clove) 0.545
๐Ÿ•ฎ  Vitamin B-12 0.51  ๐Ÿ“
glycyrrhizic acid (licorice) 0.49  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.467  ๐Ÿ“
salvia officinalis (sage) 0.461
Curcumin 0.429  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.427  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.426  ๐Ÿ“
Caffeine 0.391
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.382  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.366  ๐Ÿ“
whey 0.353  ๐Ÿ“
Theobromine (in food) 0.337
luteolin (flavonoid) 0.337  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.337  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.337
diosmin,(polyphenol) 0.337  ๐Ÿ“
Arbutin (polyphenol) 0.337  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.334  ๐Ÿ“
rosmarinus officinalis,rosemary 0.321
triphala 0.321  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.318  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.306  ๐Ÿ“
green tea 0.292
vitamin B3,niacin 0.276  ๐Ÿ“
barley 0.264  ๐Ÿ“
tea 0.258
quercetin 0.256  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.252  ๐Ÿ“
tannic acid 0.25
๐Ÿ•ฎ  selenium 0.245  ๐Ÿ“
peppermint (spice, oil) 0.245
๐Ÿ•ฎ  Glucomannan 0.243  ๐Ÿ“
sucralose 0.24  ๐Ÿ“
galla chinensis (herb) 0.228
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.225  ๐Ÿ“
pediococcus acidilactic (probiotic) 0.223
coriander oil 0.219
trachyspermum ammi, Ajwain 0.219
whole-grain barley 0.217  ๐Ÿ“
rosa rugosa 0.217
Vitamin C (ascorbic acid) 0.215  ๐Ÿ“
high fodmap diet 0.21
chitosan,(sugar) 0.209  ๐Ÿ“
Guaiacol (polyphenol) 0.208
schinus molle (herb) 0.206
Vitamin B9,folic acid 0.204  ๐Ÿ“
mutaflor escherichia coli nissle 1917 (probiotics) 0.203  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
aspartame (sweetner) 0.673
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.651
resistant starch 0.532
๐Ÿ•ฎ  inulin (prebiotic) 0.374
non-starch polysaccharides 0.37
arabinogalactan (prebiotic) 0.323
blueberry 0.309
walnuts 0.297
red wine 0.291
๐Ÿ•ฎ  iron 0.266
saccharomyces boulardii (probiotics) 0.259
๐Ÿ•ฎ  Pulses 0.257
Slippery Elm 0.239
๐Ÿ•ฎ  berberine 0.218
levan 0.19
navy bean 0.189
pea (fiber, protein) 0.188
symbioflor 2 e.coli probiotics 0.184
fasting 0.181
sodium butyrate 0.18
resistant maltodextrin 0.174
l-proline 0.174
๐Ÿ•ฎ  Burdock Root 0.171
fat 0.17
mediterranean diet 0.16
General Biotics Equilibrium 0.159
vegetarians 0.155
wheat bran 0.155
๐Ÿ•ฎ  bifidobacterium bifidum (probiotics) 0.152
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.152
l-citrulline 0.149
vitamin a 0.147
carboxymethyl cellulose (prebiotic) 0.145
raw potato starch 0.145
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.142
๐Ÿ•ฎ  pectin 0.141
๐Ÿ•ฎ  lactulose 0.141
xylan (prebiotic) 0.139
carob 0.127
animal-based diet 0.123
๐Ÿ•ฎ  high-fat diets 0.123
bacillus coagulans (probiotics) 0.122
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.121
๐Ÿ•ฎ  alcoholic beverages 0.121
gynostemma pentaphyllum (Jiaogulan) 0.117
Prescript Assist (Original Formula) 0.115
high resistant starch 0.108
Conjugated Linoleic Acid 0.106
red alga Laurencia tristicha 0.105
Prescript Assist (2018 Formula) 0.105
hypocaloric hyperproteic diet 0.104
plantago asiatica l. 0.094
fibre-rich macrobiotic ma-pi 2 diet 0.093
Ferric citrate 0.093
almonds/ almond skins 0.092
catecholamines (polyphenol) 0.092
cvs maximum strength probiotic 0.092
colinfant e.coli probiotics 0.092
l-glutamic acid 0.092
l-serine 0.092
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.

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