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 : Nausea_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 📹
🕮  garlic (allium sativum) 1  📏
neem 0.904  📏
cinnamon (oil. spice) 0.89  📏
🕮  Vitamin B-12 0.802  📏
🕮  thyme (thymol, thyme oil) 0.738
🕮  Hesperidin (polyphenol) 0.734  📏
syzygium aromaticum (clove) 0.703
🕮  N-Acetyl Cysteine (NAC), 0.668  📏
foeniculum vulgare,fennel 0.668
🕮  Vitamin B1,thiamine hydrochloride 0.668  📏
🕮  lactobacillus reuteri (probiotics) 0.661  📏
luteolin (flavonoid) 0.645  📏
🕮  Vitamin B6,pyridoxine hydrochloride 0.645  📏
Theobromine (in food) 0.645
Arbutin (polyphenol) 0.645  📏
retinoic acid,(Vitamin A derivative) 0.645
diosmin,(polyphenol) 0.645  📏
Caffeine 0.642
🕮  vitamin B7, biotin 0.633  📏
🕮  lactobacillus casei (probiotics) 0.626  📏
🕮  lactobacillus paracasei (probiotics) 0.626  📏
peppermint (spice, oil) 0.624
Curcumin 0.572  📏
vitamin B3,niacin 0.564  📏
Guaiacol (polyphenol) 0.544
🕮  melatonin supplement 0.538  📏
clostridium butyricum (probiotics),Miya,Miyarisan 0.537  📏
🕮  vitamin d 0.533  📏
rosmarinus officinalis,rosemary 0.519
🕮  lactobacillus plantarum (probiotics) 0.511  📏
trachyspermum ammi, Ajwain 0.492
laser trilobum l.,kefe cumin 0.492
oregano (origanum vulgare, oil) | 0.49
whey 0.465  📏
Umeboshi (Japanese Apricot or Prunus mume ) 0.463
galla chinensis (herb) 0.455
Sumac(Rhus coriaria) 0.45
🕮  hypericin, St. John's Wort 0.417
nigella sativa seed (black cumin) 0.411  📏
Vitamin B9,folic acid 0.411  📏
🕮  enterococcus faecium (probiotic) 0.392  📏
soy 0.375  📏
xylaria hypoxylon (fungi) 0.366
🕮  lactobacillus rhamnosus gg (probiotics) 0.359  📏
lemongrass oil 0.357
🕮  lactobacillus salivarius (probiotics) 0.352  📏
laminaria hyperborea( tangle/cuvie - seaweed) 0.349
🕮  lactobacillus casei shirota (probiotics) 0.335  📏
peganum harmala (rue) 0.334
aloe vera 0.331
Vitamin C (ascorbic acid) 0.309  📏
🕮  jatropha curcas [can be poisonous] 0.305
🕮  bifidobacterium longum bb536 (probiotics) 0.299
schinus molle (herb) 0.297
coriander oil 0.294
glycyrrhizic acid (licorice) 0.293  📏
🕮  lactobacillus kefiri (NOT KEFIR) 0.282
oplopanax horridus(Devil's Club) 0.279
🕮  lactobacillus rhamnosus (probiotics) 0.275  📏
mutaflor escherichia coli nissle 1917 (probiotics) 0.266  📏

To Remove or Decrease
Modifier Confidence 📹
Slippery Elm 0.921
arabinogalactan (prebiotic) 0.718
🕮  lactulose 0.713
vsl#3 (probiotics) 0.565
blueberry 0.562
🕮  Reduce choline (Beef, Chicken Eggs) 0.539
aspartame (sweetner) 0.522
raffinose(sugar beet) 0.492
🕮  inulin (prebiotic) 0.458
ku ding cha tea 0.45
🕮  Pulses 0.402
🕮  saccharomyces boulardii (probiotics) 0.374
🕮  berberine 0.372
green-lipped mussel 0.37
gynostemma pentaphyllum (Jiaogulan) 0.365
apple 0.346
🕮  oligosaccharides (prebiotic) 0.331
red wine 0.324
barley,oat 0.323
fasting 0.288
xylan (prebiotic) 0.275
levan 0.275
non-starch polysaccharides 0.268
🕮  pectin 0.258
symbioflor 2 e.coli probiotics 0.253
fish oil 0.25
amaranth 0.245
Sijunzi decoction 0.234
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.232
🕮  fruit 0.231
chondrus crispus,red sea weed 0.228
🕮  high-fat diets 0.222
🕮  ß-glucan 0.219
palm kernel meal 0.216
General Biotics Equilibrium 0.215
🕮  galacto-oligosaccharides (prebiotic) 0.215
l-proline 0.206
high fiber diet 0.191
sodium butyrate 0.189
resistant starch 0.186
mediterranean diet 0.176
🕮  lactobacillus gasseri (probiotics) 0.175
🕮  alcoholic beverages 0.171
fat 0.171
carob 0.169
whole grain diet 0.164
🕮  Exercise 0.153
resistant maltodextrin 0.15
catecholamines (polyphenol) 0.142
jerusalem artichoke (prebiotic) 0.135
wheat bran 0.135
almonds/ almond skins 0.131
pea (fiber, protein) 0.13
l-glutamic acid 0.127
l-serine 0.127
beef 0.127
colinfant e.coli probiotics 0.127
bacillus coagulans (probiotics) 0.126
red alga Laurencia tristicha 0.126
genistein 0.121
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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