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: DePaul University Fatigue Questionnaire : Sensitivity to Alcohol_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 📹
clostridium butyricum (probiotics),Miya,Miyarisan 1  📏
foeniculum vulgare,fennel 0.914
oregano (origanum vulgare, oil) | 0.795
🕮  garlic (allium sativum) 0.724  📏
🕮  lactobacillus reuteri (probiotics) 0.687  📏
🕮  Vitamin B-12 0.68  📏
🕮  lactobacillus rhamnosus gg (probiotics) 0.675  📏
laser trilobum l.,kefe cumin 0.648
barley 0.633  📏
neem 0.622  📏
cinnamon (oil. spice) 0.619  📏
whey 0.617  📏
🕮  lactobacillus plantarum (probiotics) 0.608  📏
🕮  lactobacillus casei (probiotics) 0.583  📏
Curcumin 0.551  📏
🕮  hypericin, St. John's Wort 0.548
🕮  Hesperidin (polyphenol) 0.467  📏
nigella sativa seed (black cumin) 0.465  📏
🕮  Vitamin B1,thiamine hydrochloride 0.454  📏
Caffeine 0.448
🕮  N-Acetyl Cysteine (NAC), 0.448  📏
bacillus subtilis (probiotics) 0.419  📏
🕮  lactobacillus paracasei (probiotics) 0.418  📏
pediococcus acidilactic (probiotic) 0.403
pomegranate 0.384  📏
Arbutin (polyphenol) 0.374  📏
🕮  vitamin B7, biotin 0.374  📏
diosmin,(polyphenol) 0.374  📏
retinoic acid,(Vitamin A derivative) 0.374
🕮  Vitamin B6,pyridoxine hydrochloride 0.374  📏
Theobromine (in food) 0.374
luteolin (flavonoid) 0.374  📏
🕮  selenium 0.368  📏
rosmarinus officinalis,rosemary 0.364
whole-grain barley 0.364  📏
bioflorin,enterococcus faecium sf 68,(probiotics) 0.36
mutaflor escherichia coli nissle 1917 (probiotics) 0.349  📏
syzygium aromaticum (clove) 0.343
Vitamin C (ascorbic acid) 0.335  📏
schinus molle (herb) 0.328
🕮  jatropha curcas [can be poisonous] 0.317
chitosan,(sugar) 0.309  📏
salvia officinalis (sage) 0.299
oplopanax horridus(Devil's Club) 0.297
🕮  melatonin supplement 0.293  📏
coriander oil 0.278
Lactobacillus Johnsonii (probiotic) 0.274  📏
🕮  Glucomannan 0.261  📏
sucralose 0.258  📏
quercetin 0.254  📏
🕮  thyme (thymol, thyme oil) 0.249
rosa rugosa 0.248
🕮  bifidobacterium infantis,(probiotics) 0.248  📏
green tea 0.248
galla chinensis (herb) 0.248
🕮  tulsi 0.248  📏
chitooligosaccharides (prebiotic) 0.242  📏
d-fructose (sugar) 0.241
tannic acid 0.24
tea 0.239

To Remove or Decrease
Modifier Confidence 📹
aspartame (sweetner) 0.991
🕮  Reduce choline (Beef, Chicken Eggs) 0.661
Slippery Elm 0.637
blueberry 0.57
resistant starch 0.436
arabinogalactan (prebiotic) 0.407
navy bean 0.379
🕮  berberine 0.375
symbioflor 2 e.coli probiotics 0.349
saccharin 0.347
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.344
non-starch polysaccharides 0.327
red wine 0.313
levan 0.304
carboxymethyl cellulose (prebiotic) 0.303
🕮  iron 0.295
fasting 0.29
General Biotics Equilibrium 0.29
🕮  Pulses 0.283
l-proline 0.274
🕮  inulin (prebiotic) 0.271
🕮  Prescript Assist (2018 Formula) 0.263
stevia 0.258
🕮  saccharomyces boulardii (probiotics) 0.25
red alga Laurencia tristicha 0.248
xylan (prebiotic) 0.237
resistant maltodextrin 0.227
ku ding cha tea 0.21
wheat bran 0.206
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.184
l-citrulline 0.184
🕮  Burdock Root 0.184
l-glutamic acid 0.174
l-serine 0.174
green-lipped mussel 0.174
colinfant e.coli probiotics 0.174
catecholamines (polyphenol) 0.174
beef 0.174
carob 0.174
sodium butyrate 0.173
animal-based diet 0.162
salt (sodium chloride) 0.16
hypocaloric hyperproteic diet 0.155
cvs maximum strength probiotic 0.155
🕮  alcoholic beverages 0.155
Ferric citrate 0.155
fibre-rich macrobiotic ma-pi 2 diet 0.154
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.154
🕮  pectin 0.147
🕮  lactobacillus fermentum (probiotics) 0.147
🕮  zinc 0.136
🕮  lactulose 0.13
gynostemma pentaphyllum (Jiaogulan) 0.129
raw potato starch 0.129
vitamin a 0.127
polysorbate 80 0.125
gallic acid (food additive) 0.115
🕮  high-fat diets 0.114
🕮  oligosaccharides (prebiotic) 0.111
vegetarians 0.11
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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