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 : Tingling feeling_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) 0.444  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.428  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.413  ๐Ÿ“
Caffeine 0.397
Vitamin B9,folic acid 0.383  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.364  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.364  ๐Ÿ“
Theobromine (in food) 0.364
Arbutin (polyphenol) 0.364  ๐Ÿ“
diosmin,(polyphenol) 0.364  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.364
luteolin (flavonoid) 0.355  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.355  ๐Ÿ“
Vitamin C (ascorbic acid) 0.342  ๐Ÿ“
vitamin B3,niacin 0.299  ๐Ÿ“
linseed(flaxseed) 0.257  ๐Ÿ“
glycyrrhizic acid (licorice) 0.251  ๐Ÿ“
sucralose 0.233  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.222  ๐Ÿ“
Guaiacol (polyphenol) 0.204
galla chinensis (herb) 0.158
๐Ÿ•ฎ  ethanol 0.152
neem 0.146  ๐Ÿ“
gluten-free diet 0.135
high animal protein diet 0.128
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.127
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.116
Kimchi 0.115
whole-grain barley 0.112  ๐Ÿ“
chitosan,(sugar) 0.105  ๐Ÿ“
๐Ÿ•ฎ  iron 0.103  ๐Ÿ“
foeniculum vulgare,fennel 0.099
๐Ÿ•ฎ  omega-3 fatty acids 0.09  ๐Ÿ“
l-glutamine 0.088  ๐Ÿ“
low carbohydrate diet 0.087
๐Ÿ•ฎ  bifidobacterium longum,lactobacillus helveticus (probiotics) 0.086
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.082
Grapefruit seed extract 0.08
low fodmap diet 0.077
vegetable/fruit juice-based diets 0.076
galla rhois 0.071
๐Ÿ•ฎ  naringenin(grapefruit) (Flavonoid) 0.068
pediococcus acidilactic (probiotic) 0.067
๐Ÿ•ฎ  Taxifolin 0.066  ๐Ÿ“
Cranberry 0.065
๐Ÿ•ฎ  garlic (allium sativum) 0.064  ๐Ÿ“
๐Ÿ•ฎ  Lactobacillus salivarius UCC118 0.064
Carthamus tinctorius L,Safflower 0.062
Caramel color 0.061
Caraway 0.06
Cardamom 0.06
catechins (from tea/wine) 0.06
Celery Seed 0.06
chamaemelum nobile,chamomile 0.06
Cumin 0.06
Clove 0.06
Coffee 0.06
Cola (w/ aspartame) 0.06
Cilantro 0.06
Citric acid 0.06

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.615
๐Ÿ•ฎ  berberine 0.579
red wine 0.511
resistant starch 0.498
fasting 0.411
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.374
๐Ÿ•ฎ  vitamin d 0.359
cranberry bean flour 0.354
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.351
barley 0.325
soy 0.323
wheat bran 0.309
๐Ÿ•ฎ  Pulses 0.299
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.282
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.27
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.262
wheat 0.254
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.247
ketogenic diet 0.244
resistant maltodextrin 0.24
apple 0.239
saccharin 0.237
xylan (prebiotic) 0.233
๐Ÿ•ฎ  grapes 0.23
saccharomyces boulardii (probiotics) 0.224
๐Ÿ•ฎ  pectin 0.221
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.22
pomegranate 0.219
stevia 0.212
low-fat diets 0.211
bacillus licheniformis,(probiotics) 0.208
walnuts 0.206
fibre-rich macrobiotic ma-pi 2 diet 0.206
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.198
๐Ÿ•ฎ  black raspberries 0.198
non-starch polysaccharides 0.197
grape seed extract 0.192
fish oil 0.191
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.184
๐Ÿ•ฎ  Akkermansia muciniphila (probiotic) 0.183
gallic acid (food additive) 0.18
bacillus coagulans (probiotics) 0.171
sodium butyrate 0.171
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.171
triphala 0.161
l-citrulline 0.149
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.149
๐Ÿ•ฎ  Burdock Root 0.147
blueberry 0.147
๐Ÿ•ฎ  enterococcus faecium (probiotic) 0.145
๐Ÿ•ฎ  bifidobacterium lactis bb12 (probiotics) 0.145
Conjugated Linoleic Acid 0.144
polysorbate 80 0.144
๐Ÿ•ฎ  bifidobacterium animalis lactis (probiotics) 0.142
๐Ÿ•ฎ  lactulose 0.14
๐Ÿ•ฎ  capsaicin (hot pepper) 0.138
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.137
almonds/ almond skins 0.135
rhubarb 0.134
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.

Microbiome Prescription do not make any representations that data or analyses available on this site is suitable for human diagnostic purposes, for informing treatment decisions, or for any other purposes and accept no responsibility or liability whatsoever for such use.
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