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: Neurological: Neuropathy _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) 0.623  📏
🕮  N-Acetyl Cysteine (NAC), 0.621  📏
Caffeine 0.594
🕮  thyme (thymol, thyme oil) 0.584
Vitamin C (ascorbic acid) 0.579  📏
🕮  Vitamin B1,thiamine hydrochloride 0.573  📏
neem 0.566  📏
foeniculum vulgare,fennel 0.549
🕮  lactobacillus casei (probiotics) 0.524  📏
Theobromine (in food) 0.493
luteolin (flavonoid) 0.493  📏
🕮  Vitamin B6,pyridoxine hydrochloride 0.493  📏
retinoic acid,(Vitamin A derivative) 0.493
diosmin,(polyphenol) 0.493  📏
🕮  melatonin supplement 0.493  📏
Arbutin (polyphenol) 0.493  📏
🕮  Vitamin B-12 0.493  📏
vitamin B3,niacin 0.46  📏
galla chinensis (herb) 0.456
🕮  vitamin B7, biotin 0.434  📏
🕮  lactobacillus kefiri (NOT KEFIR) 0.411
Vitamin B9,folic acid 0.4  📏
whole-grain barley 0.364  📏
green tea 0.345
🕮  bifidobacterium longum,lactobacillus helveticus (probiotics) 0.341
oplopanax horridus(Devil's Club) 0.337
nigella sativa seed (black cumin) 0.337  📏
chitosan,(sugar) 0.318  📏
🕮  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.311
sucralose 0.308  📏
🕮  jatropha curcas [can be poisonous] 0.303
pediococcus acidilactic (probiotic) 0.298
laser trilobum l.,kefe cumin 0.29
Guaiacol (polyphenol) 0.282
oregano (origanum vulgare, oil) | 0.279
🕮  Cacao 0.275  📏
🕮  garlic (allium sativum) 0.274  📏
Cranberry 0.218
🕮  hypericin, St. John's Wort 0.21
salvia officinalis (sage) 0.203
l-glutamine 0.202  📏
🕮  cannabinoids 0.189
rosmarinus officinalis,rosemary 0.187
vegetable/fruit juice-based diets 0.18
peppermint (spice, oil) 0.179
schinus molle (herb) 0.179
cinnamon (oil. spice) 0.177  📏
sorghum 0.177
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.171
🕮  bifidobacterium lactis,streptococcus thermophilus probiotic 0.166
🕮  noni 0.166  📏
galla rhois 0.158
🕮  Turmeric 0.156  📏
anise 0.154  📏
polyphenols 0.153  📏
bean 0.151
🕮  bifidobacterium longum bb536 (probiotics) 0.144
🕮  lactobacillus gasseri (probiotics) 0.141  📏
🕮  quebracho 0.141
gluten-free diet 0.14

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
🕮  berberine 0.95
arabinogalactan (prebiotic) 0.648
red wine 0.626
wheat bran 0.578
xylan (prebiotic) 0.526
non-starch polysaccharides 0.484
Slippery Elm 0.475
🕮  Pulses 0.474
stevia 0.432
saccharin 0.431
🕮  lactobacillus plantarum (probiotics) 0.418
🕮  pectin 0.406
bacillus amyloliquefaciens (probiotic) 0.387
resistant starch 0.38
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.36
l-citrulline 0.347
🕮  lactobacillus reuteri (probiotics) 0.332
gallic acid (food additive) 0.329
🕮  galacto-oligosaccharides (prebiotic) 0.326
apple 0.321
vegetarians 0.313
🕮  vitamin d 0.311
resistant maltodextrin 0.301
mediterranean diet 0.294
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.276
fish oil 0.269
high red meat 0.265
triphala 0.259
low-fat diets 0.256
🕮  bifidobacterium longum (probiotics) 0.252
fat 0.244
gynostemma pentaphyllum (Jiaogulan) 0.24
bacillus licheniformis,(probiotics) 0.238
moderate-protein moderate-carbohydrate 0.234
🕮  ß-glucan 0.231
fasting 0.231
ketogenic diet 0.22
ginko 0.22
🕮  Reduce choline (Beef, Chicken Eggs) 0.214
carboxymethyl cellulose (prebiotic) 0.208
Alpha-Ketoglutarate 0.203
pea (fiber, protein) 0.196
nuts 0.194
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.193
🕮  Pumpkin 0.191
🕮  galactose (milk sugar) 0.182
levan 0.182
propionate 0.179
animal-based diet 0.176
fibre-rich macrobiotic ma-pi 2 diet 0.176
almonds/ almond skins 0.174
carbohydrates 0.171
slow digestible carbohydrates 0.166
coptis chinensis, Chinese goldthread 0.166
hypocaloric hyperproteic diet 0.166
🕮  Tributyrin 0.166
plantago asiatica l. 0.161
low protein diet 0.159
Psyllium (Plantago Ovata Husk) 0.158
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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