Why some suggestions may contradict

RECOMMENDED READING Caveats on using the contents of this page. 👨‍⚕️

If you need help with this information, here is a list of consultants 👨‍⚕️👩‍⚕️ that are available.

Suggestion Parameters

Sample:A Priori (from theoretical deduction)
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Autonomic: Dizziness or fainting_No_Drugs
Rank Used: All Ranks
Shifts Used:High and Low Levels
Citations Used:

How do we know if the suggestions are reasonable/valid?

🍱 Food Menu Planner 🍽️ 📹 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 📹
🕮  thyme (thymol, thyme oil) 0.847
cinnamon (oil. spice) 0.678  📏
foeniculum vulgare,fennel 0.607
syzygium aromaticum (clove) 0.566
🕮  Hesperidin (polyphenol) 0.565  📏
🕮  N-Acetyl Cysteine (NAC), 0.539  📏
neem 0.517  📏
Curcumin 0.491  📏
Vitamin B9,folic acid 0.49  📏
Caffeine 0.473
🕮  melatonin supplement 0.468  📏
Arbutin (polyphenol) 0.453  📏
Theobromine (in food) 0.453
retinoic acid,(Vitamin A derivative) 0.453
diosmin,(polyphenol) 0.453  📏
🕮  Vitamin B6,pyridoxine hydrochloride 0.453  📏
🕮  Vitamin B1,thiamine hydrochloride 0.435  📏
vitamin B3,niacin 0.435  📏
🕮  Vitamin B-12 0.428  📏
rosmarinus officinalis,rosemary 0.416
🕮  vitamin B7, biotin 0.408  📏
luteolin (flavonoid) 0.407  📏
oregano (origanum vulgare, oil) | 0.402
salvia officinalis (sage) 0.386
green tea 0.374
trachyspermum ammi, Ajwain 0.349
peppermint (spice, oil) 0.339
nigella sativa seed (black cumin) 0.335  📏
sucralose 0.324  📏
laser trilobum l.,kefe cumin 0.314
oplopanax horridus(Devil's Club) 0.312
chitosan,(sugar) 0.311  📏
tea 0.294
🕮  jatropha curcas [can be poisonous] 0.285
Vitamin C (ascorbic acid) 0.276  📏
Guaiacol (polyphenol) 0.276
🕮  garlic (allium sativum) 0.269  📏
galla chinensis (herb) 0.267
aloe vera 0.265
lemongrass oil 0.264
olea europaea,olive leaf 0.257  📏
bacopa monnieri 0.255  📏
🕮  hypericin, St. John's Wort 0.254
saccharin 0.252  📏
rosa rugosa 0.25
cadium 0.248
🕮  Cacao 0.243  📏
eucalyptus globulus,Tasmanian blue gum 0.241
coleus forskohlii 0.241
larrea tridentata( creosote bush, greasewood) 0.241
linseed(flaxseed) 0.233  📏
coriander oil 0.212
galla rhois 0.21
peganum harmala (rue) 0.207
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.205
Sumac(Rhus coriaria) 0.197
coptis chinensis, Chinese goldthread 0.189
sorghum 0.176
laminaria hyperborea( tangle/cuvie - seaweed) 0.174
trametes versicolor(Turkey tail mushroom) 0.172

To Remove or Decrease

Modifier Confidence 📹
🕮  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.776
🕮  resveratrol (grape seed/polyphenols/red wine) 0.548
Slippery Elm 0.49
raffinose(sugar beet) 0.473
🕮  fructo-oligosaccharides (prebiotic) 0.457
barley 0.408
red wine 0.407
walnuts 0.404
Lactobacillus Johnsonii (probiotic) 0.389
apple 0.386
🕮  Burdock Root 0.386
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.368
bacillus subtilis (probiotics) 0.352
non-starch polysaccharides 0.345
🕮  lactulose 0.328
🕮  Pulses 0.323
resistant starch 0.316
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.311
pea (fiber, protein) 0.311
🕮  pectin 0.305
soy 0.303
wheat bran 0.302
🕮  oligosaccharides (prebiotic) 0.295
mediterranean diet 0.293
Conjugated Linoleic Acid 0.287
🕮  lactobacillus acidophilus (probiotics) 0.283
barley,oat 0.272
blueberry 0.267
fasting 0.266
almonds/ almond skins 0.266
levan 0.259
jerusalem artichoke (prebiotic) 0.256
plantago asiatica l. 0.246
sesame cake/meal 0.24
🕮  lactobacillus reuteri (probiotics) 0.24
l-proline 0.239
resistant maltodextrin 0.229
pomegranate 0.224
dietary phytoestrogens (isoflavones) 0.221
fish oil 0.217
fat 0.211
🕮  lactobacillus plantarum (probiotics) 0.211
high fiber diet 0.209
🕮  black raspberries 0.209
🕮  gum arabic (prebiotic) 0.205
dietary fiber 0.205
🕮  noni 0.201
🕮  saccharomyces boulardii (probiotics) 0.201
refined wheat breads 0.199
🕮  bifidobacterium lactis bb12 (probiotics) 0.186
laminaria digitata,oarweed - seaweed 0.186
germinated barley food-stuff 0.184
bacillus,lactobacillus,streptococcus,saccharomyces probiotic 0.175
🕮  Ginseng 0.174
sodium butyrate 0.171
Alpha-Ketoglutarate 0.165
vsl#3 (probiotics) 0.164
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.164
🕮  Nicotine, Nicotine Patch 0.162
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.

Copyright 2016-2023 Lassesen Consulting, LLC [2007], DBA, Microbiome Prescription. All rights served.
Permission to data scrap or reverse engineer is explicitly denied to all users. U.S. Code Title 18 PART I CHAPTER 47 § 1030, CETS No.185, CFAA
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.

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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