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: Neuroendocrine: Alcohol intolerance_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 📹
🕮  Hesperidin (polyphenol) 0.536  📏
🕮  garlic (allium sativum) 0.536  📏
🕮  N-Acetyl Cysteine (NAC), 0.477  📏
Caffeine 0.444
🕮  Vitamin B-12 0.413  📏
🕮  Vitamin B1,thiamine hydrochloride 0.412  📏
sucralose 0.399  📏
chitosan,(sugar) 0.386  📏
Theobromine (in food) 0.381
🕮  Vitamin B6,pyridoxine hydrochloride 0.381  📏
luteolin (flavonoid) 0.381  📏
retinoic acid,(Vitamin A derivative) 0.381
diosmin,(polyphenol) 0.381  📏
Arbutin (polyphenol) 0.381  📏
🕮  vitamin B7, biotin 0.363  📏
🕮  melatonin supplement 0.35  📏
vitamin B3,niacin 0.325  📏
Vitamin B9,folic acid 0.313  📏
Vitamin C (ascorbic acid) 0.283  📏
peppermint (spice, oil) 0.275
cinnamon (oil. spice) 0.272  📏
neem 0.27  📏
galla chinensis (herb) 0.267
Guaiacol (polyphenol) 0.263
🕮  lactobacillus casei (probiotics) 0.254  📏
🕮  thyme (thymol, thyme oil) 0.244
foeniculum vulgare,fennel 0.239
Hawthorn [Crataegus monogyna Jacq.,Crataegus oxyacantha L] 0.229
🕮  lactobacillus kefiri (NOT KEFIR) 0.226
tea 0.212
low fodmap diet 0.207
laminaria hyperborea( tangle/cuvie - seaweed) 0.207
🕮  hypericin, St. John's Wort 0.183
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.171
🕮  lactobacillus salivarius (probiotics) 0.171  📏
🕮  bifidobacterium lactis,streptococcus thermophilus probiotic 0.169
🕮  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.163
Curcumin 0.162  📏
🕮  bifidobacterium infantis,(probiotics) 0.156  📏
laser trilobum l.,kefe cumin 0.155
camelina seed 0.149
magnesium-deficient diet 0.143
glycyrrhizic acid (licorice) 0.143  📏
chitooligosaccharides (prebiotic) 0.143  📏
🕮  lactobacillus bulgaricus (probiotics) 0.138
🕮  bifidobacterium longum bb536 (probiotics) 0.136
🕮  bifidobacterium breve (probiotic) 0.136  📏
aloe vera 0.13
lemongrass oil 0.128
🕮  bifidobacterium animalis lactis (probiotics) 0.127  📏
whole-grain barley 0.125  📏
sorghum 0.122
quercetin,resveratrol 0.121
low carbohydrate diet 0.117
🕮  tulsi 0.115  📏
ascophyllum nodosum (sea weed) 0.111
Cranberry 0.111
chamaemelum nobile,chamomile 0.111
🕮  high-saturated fat diet 0.111
high animal protein diet 0.11

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.89
arabinogalactan (prebiotic) 0.886
resistant starch 0.761
🕮  fructo-oligosaccharides (prebiotic) 0.73
Slippery Elm 0.571
🕮  lactulose 0.544
red wine 0.515
soy 0.496
wheat bran 0.472
🕮  galacto-oligosaccharides (prebiotic) 0.437
🕮  resveratrol (grape seed/polyphenols/red wine) 0.407
raffinose(sugar beet) 0.382
🕮  lactobacillus acidophilus (probiotics) 0.374
apple 0.37
jerusalem artichoke (prebiotic) 0.369
🕮  Pulses 0.364
🕮  pectin 0.355
chondrus crispus,red sea weed 0.321
almonds/ almond skins 0.316
ku ding cha tea 0.313
xylan (prebiotic) 0.297
sesame cake/meal 0.292
wheat 0.288
🕮  Burdock Root 0.286
mediterranean diet 0.277
🕮  oligosaccharides (prebiotic) 0.276
barley,oat 0.274
🕮  Glucomannan 0.272
resistant maltodextrin 0.271
🕮  saccharomyces boulardii (probiotics) 0.265
saccharin 0.26
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.249
ketogenic diet 0.247
high red meat 0.244
🕮  gum arabic (prebiotic) 0.236
🕮  zinc 0.234
fasting 0.233
daesiho-tang 0.232
l-proline 0.23
🕮  berberine 0.227
triphala 0.222
non-starch polysaccharides 0.222
grape seed extract 0.221
pea (fiber, protein) 0.22
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.218
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.217
green tea 0.216
blueberry 0.216
vsl#3 (probiotics) 0.213
l-citrulline 0.211
plantago asiatica l. 0.211
high fiber diet 0.207
gallic acid (food additive) 0.206
fish oil 0.205
🕮  bifidobacterium lactis bb12 (probiotics) 0.203
bacillus subtilis (probiotics) 0.203
magnesium 0.202
🕮  lactobacillus plantarum,xylooligosaccharides,(prebiotic) (probiotics) 0.193
🕮  Prescript Assist (2018 Formula) 0.191
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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