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: Blurred or tunnel vision after standing_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) 1
cinnamon (oil. spice) 0.807  📏
syzygium aromaticum (clove) 0.747
neem 0.655  📏
foeniculum vulgare,fennel 0.648
salvia officinalis (sage) 0.561
sucralose 0.489  📏
green tea 0.478
trachyspermum ammi, Ajwain 0.448
saccharin 0.447  📏
🕮  Hesperidin (polyphenol) 0.443  📏
bacopa monnieri 0.423  📏
🕮  N-Acetyl Cysteine (NAC), 0.421  📏
oregano (origanum vulgare, oil) | 0.416
cadium 0.405
Vitamin B9,folic acid 0.402  📏
Curcumin 0.401  📏
larrea tridentata( creosote bush, greasewood) 0.384
eucalyptus globulus,Tasmanian blue gum 0.384
coleus forskohlii 0.384
aloe vera 0.379
rosa rugosa 0.371
nigella sativa seed (black cumin) 0.353  📏
olea europaea,olive leaf 0.352  📏
galla chinensis (herb) 0.347
tea 0.344
rosmarinus officinalis,rosemary 0.343
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.33
lemongrass oil 0.328
Caffeine 0.324
coptis chinensis, Chinese goldthread 0.313
🕮  melatonin supplement 0.311  📏
peppermint (spice, oil) 0.301
vitamin B3,niacin 0.3  📏
peganum harmala (rue) 0.299
🕮  garlic (allium sativum) 0.299  📏
🕮  berberine 0.298  📏
🕮  high-fat diets 0.28
🕮  Cacao 0.278  📏
Arbutin (polyphenol) 0.268  📏
🕮  vitamin B7, biotin 0.268  📏
🕮  Vitamin B6,pyridoxine hydrochloride 0.268  📏
retinoic acid,(Vitamin A derivative) 0.268
diosmin,(polyphenol) 0.268  📏
luteolin (flavonoid) 0.268  📏
Theobromine (in food) 0.268
salt (sodium chloride) 0.257
oplopanax horridus(Devil's Club) 0.254
🕮  hypericin, St. John's Wort 0.243
laser trilobum l.,kefe cumin 0.241
trametes versicolor(Turkey tail mushroom) 0.24
sorghum 0.231
coriander oil 0.225
bacillus laterosporus (probiotic) 0.223
hyperiform 0.215
🕮  jatropha curcas [can be poisonous] 0.213
laminaria hyperborea( tangle/cuvie - seaweed) 0.213
magnesium-deficient diet 0.213
🕮  Vitamin B-12 0.208  📏
Sumac(Rhus coriaria) 0.207

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 0.971
🕮  fructo-oligosaccharides (prebiotic) 0.88
🕮  resveratrol (grape seed/polyphenols/red wine) 0.843
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.815
arabinogalactan (prebiotic) 0.673
🕮  lactulose 0.624
bacillus subtilis (probiotics) 0.618
resistant starch 0.585
wheat bran 0.561
raffinose(sugar beet) 0.551
Lactobacillus Johnsonii (probiotic) 0.521
apple 0.512
navy bean 0.507
mediterranean diet 0.494
🕮  Burdock Root 0.487
soy 0.47
pea (fiber, protein) 0.456
Slippery Elm 0.435
🕮  Pulses 0.408
fat 0.4
Conjugated Linoleic Acid 0.37
almonds/ almond skins 0.362
🕮  gum arabic (prebiotic) 0.36
sesame cake/meal 0.357
barley 0.349
ketogenic diet 0.346
jerusalem artichoke (prebiotic) 0.336
🕮  lactobacillus plantarum (probiotics) 0.333
🕮  pectin 0.321
fasting 0.312
🕮  galacto-oligosaccharides (prebiotic) 0.309
red wine 0.306
🕮  Prescript Assist (2018 Formula) 0.303
🕮  lactobacillus reuteri (probiotics) 0.294
🕮  bifidobacterium lactis bb12 (probiotics) 0.289
xylan (prebiotic) 0.282
blueberry 0.282
non-starch polysaccharides 0.276
🕮  Ginseng 0.262
laminaria digitata,oarweed - seaweed 0.262
high red meat 0.258
🕮  noni 0.254
🕮  oligosaccharides (prebiotic) 0.25
barley,oat 0.248
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.245
🕮  zinc 0.242
magnesium 0.24
whey 0.234
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.23
🕮  lactobacillus acidophilus (probiotics) 0.228
pomegranate 0.22
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.219
l-citrulline 0.219
blackcurrant 0.215
Alpha-Ketoglutarate 0.211
🕮  galactose (milk sugar) 0.207
plantago asiatica l. 0.194
🕮  lactobacillus rhamnosus (probiotics) 0.193
sodium butyrate 0.188
🕮  lactobacillus casei (probiotics) 0.184
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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