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 : Headaches_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 📹
foeniculum vulgare,fennel 0.933
oregano (origanum vulgare, oil) | 0.739
🕮  Vitamin B-12 0.694  📏
clostridium butyricum (probiotics),Miya,Miyarisan 0.631  📏
🕮  hypericin, St. John's Wort 0.596
🕮  garlic (allium sativum) 0.569  📏
🕮  lactobacillus reuteri (probiotics) 0.535  📏
🕮  Vitamin B1,thiamine hydrochloride 0.516  📏
nigella sativa seed (black cumin) 0.502  📏
🕮  Hesperidin (polyphenol) 0.493  📏
🕮  lactobacillus plantarum (probiotics) 0.477  📏
Caffeine 0.474
🕮  N-Acetyl Cysteine (NAC), 0.474  📏
whey 0.466  📏
cinnamon (oil. spice) 0.455  📏
laser trilobum l.,kefe cumin 0.452
Arbutin (polyphenol) 0.438  📏
retinoic acid,(Vitamin A derivative) 0.438
🕮  vitamin B7, biotin 0.438  📏
diosmin,(polyphenol) 0.438  📏
Theobromine (in food) 0.438
🕮  Vitamin B6,pyridoxine hydrochloride 0.438  📏
luteolin (flavonoid) 0.438  📏
🕮  lactobacillus casei (probiotics) 0.434  📏
Vitamin C (ascorbic acid) 0.431  📏
🕮  jatropha curcas [can be poisonous] 0.393
Curcumin 0.382  📏
oplopanax horridus(Devil's Club) 0.374
neem 0.358  📏
vitamin B3,niacin 0.358  📏
Guaiacol (polyphenol) 0.333
bacillus subtilis (probiotics) 0.328  📏
🕮  lactobacillus paracasei (probiotics) 0.328  📏
🕮  melatonin supplement 0.31  📏
rosmarinus officinalis,rosemary 0.307
chitosan,(sugar) 0.295  📏
barley 0.292  📏
🕮  lactobacillus rhamnosus gg (probiotics) 0.29  📏
schinus molle (herb) 0.283
Vitamin B9,folic acid 0.283  📏
salvia officinalis (sage) 0.262
mutaflor escherichia coli nissle 1917 (probiotics) 0.257  📏
🕮  thyme (thymol, thyme oil) 0.255
syzygium aromaticum (clove) 0.254
pediococcus acidilactic (probiotic) 0.248
🕮  selenium 0.245  📏
chitooligosaccharides (prebiotic) 0.24  📏
pomegranate 0.236  📏
🕮  Glucomannan 0.223  📏
coriander oil 0.208
d-fructose (sugar) 0.204
fenugreek 0.199
Lactobacillus Johnsonii (probiotic) 0.198  📏
leea indica,bandicoot berry 0.195
low carbohydrate diet 0.195
🕮  Fisetin 0.186  📏
papaya 0.185
tannic acid 0.184
galla chinensis (herb) 0.179
quercetin 0.174  📏

To Remove or Decrease
Modifier Confidence 📹
Slippery Elm 1
aspartame (sweetner) 0.865
🕮  Reduce choline (Beef, Chicken Eggs) 0.551
arabinogalactan (prebiotic) 0.493
red wine 0.429
blueberry 0.398
🕮  berberine 0.354
resistant starch 0.34
non-starch polysaccharides 0.339
🕮  Pulses 0.329
🕮  inulin (prebiotic) 0.312
fasting 0.291
🕮  saccharomyces boulardii (probiotics) 0.29
levan 0.265
symbioflor 2 e.coli probiotics 0.257
navy bean 0.237
l-proline 0.229
walnuts 0.229
ku ding cha tea 0.227
carboxymethyl cellulose (prebiotic) 0.226
xylan (prebiotic) 0.225
saccharin 0.203
mediterranean diet 0.201
wheat bran 0.2
🕮  ß-glucan 0.197
sodium butyrate 0.194
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.181
🕮  iron 0.174
🕮  oligosaccharides (prebiotic) 0.171
🕮  pectin 0.171
red alga Laurencia tristicha 0.164
high fiber diet 0.161
triphala 0.157
Ferric citrate 0.156
🕮  galacto-oligosaccharides (prebiotic) 0.151
resistant maltodextrin 0.151
green-lipped mussel 0.143
🕮  alcoholic beverages 0.134
l-citrulline 0.132
colinfant e.coli probiotics 0.129
catecholamines (polyphenol) 0.129
l-glutamic acid 0.129
l-serine 0.129
beef 0.129
carob 0.129
cadium 0.129
whole grain diet 0.126
General Biotics Equilibrium 0.123
🕮  lactulose 0.12
low protein diet 0.114
raw potato starch 0.114
stevia 0.111
🕮  cruciferous vegetables (broccoli cabbage) 0.109
cvs maximum strength probiotic 0.109
vegetarians 0.106
🕮  bifidobacterium catenulatum,(probiotics) 0.105
salt (sodium chloride) 0.103
pea (fiber, protein) 0.102
animal-based diet 0.096
fraxinus angustifolia,narrow-leafed ash 0.095
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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