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: Official Diagnosis: Chronic Fatigue Syndrome (CFS/ME)_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) 1  📏
🕮  N-Acetyl Cysteine (NAC), 0.937  📏
Caffeine 0.903
🕮  Vitamin B-12 0.894  📏
vitamin B3,niacin 0.869  📏
🕮  Vitamin B1,thiamine hydrochloride 0.867  📏
retinoic acid,(Vitamin A derivative) 0.825
diosmin,(polyphenol) 0.825  📏
Arbutin (polyphenol) 0.825  📏
Theobromine (in food) 0.825
🕮  Vitamin B6,pyridoxine hydrochloride 0.825  📏
🕮  melatonin supplement 0.78  📏
🕮  vitamin B7, biotin 0.773  📏
Vitamin C (ascorbic acid) 0.767  📏
mastic gum (prebiotic) 0.612  📏
cinnamon (oil. spice) 0.597  📏
Guaiacol (polyphenol) 0.577
oregano (origanum vulgare, oil) | 0.569
luteolin (flavonoid) 0.563  📏
rosmarinus officinalis,rosemary 0.558
🕮  garlic (allium sativum) 0.529  📏
clostridium butyricum (probiotics),Miya,Miyarisan 0.503  📏
foeniculum vulgare,fennel 0.488
Vitamin B9,folic acid 0.468  📏
🕮  lactobacillus casei (probiotics) 0.465  📏
whole-grain barley 0.447  📏
neem 0.447  📏
🕮  thyme (thymol, thyme oil) 0.424
🕮  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.415
chitosan,(sugar) 0.398  📏
Curcumin 0.372  📏
galla chinensis (herb) 0.369
🕮  lactobacillus reuteri (probiotics) 0.369  📏
sucralose 0.366  📏
laser trilobum l.,kefe cumin 0.331
nigella sativa seed (black cumin) 0.326  📏
🕮  hypericin, St. John's Wort 0.315
tea 0.313
oplopanax horridus(Devil's Club) 0.304
whey 0.301  📏
🕮  jatropha curcas [can be poisonous] 0.298
🕮  lactobacillus paracasei (probiotics) 0.289  📏
pediococcus acidilactic (probiotic) 0.281
olea europaea,olive leaf 0.276  📏
green tea 0.267
peppermint (spice, oil) 0.266
pomegranate 0.265  📏
bacillus subtilis (probiotics) 0.26  📏
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.25
quercetin 0.244  📏
rosa rugosa 0.221
🕮  lactobacillus kefiri (NOT KEFIR) 0.217
🕮  cannabinoids 0.214
🕮  Cacao 0.208  📏
🕮  tulsi 0.207  📏
inula viscosa,false yellowhead 0.202
galla rhois 0.201
syzygium aromaticum (clove) 0.193
🕮  lactobacillus salivarius (probiotics) 0.18  📏
Cranberry 0.179

To Remove or Decrease
Modifier Confidence 📹
arabinogalactan (prebiotic) 0.809
🕮  berberine 0.703
red wine 0.679
🕮  inulin (prebiotic) 0.639
🕮  Pulses 0.595
non-starch polysaccharides 0.587
Slippery Elm 0.571
resistant starch 0.562
saccharin 0.426
mediterranean diet 0.421
🕮  pectin 0.397
🕮  vitamin d 0.383
l-citrulline 0.375
stevia 0.371
pea (fiber, protein) 0.359
xylan (prebiotic) 0.332
resistant maltodextrin 0.322
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.314
l-proline 0.306
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.3
🕮  oligosaccharides (prebiotic) 0.3
🕮  lactobacillus gasseri (probiotics) 0.299
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.285
ketogenic diet 0.283
levan 0.263
fasting 0.261
vegetarians 0.258
fat 0.253
high red meat 0.253
🕮  saccharomyces boulardii (probiotics) 0.237
gallic acid (food additive) 0.222
🕮  galacto-oligosaccharides (prebiotic) 0.221
🕮  Reduce choline (Beef, Chicken Eggs) 0.22
🕮  zinc 0.219
low-fat diets 0.218
animal-based diet 0.214
carboxymethyl cellulose (prebiotic) 0.213
🕮  high-fat diets 0.211
rare meat 0.196
blackcurrant 0.192
vitamin a 0.186
🕮  galactose (milk sugar) 0.177
plantago asiatica l. 0.177
gynostemma pentaphyllum (Jiaogulan) 0.175
hypocaloric hyperproteic diet 0.172
propionate 0.167
nuts 0.153
slow digestible carbohydrates 0.15
red alga Laurencia tristicha 0.15
symbioflor 2 e.coli probiotics 0.15
Miso 0.147
Conjugated Linoleic Acid 0.142
ku ding cha tea 0.141
wheat bran 0.138
🕮  lactobacillus plantarum (probiotics) 0.138
bacillus amyloliquefaciens (probiotic) 0.136
🕮  mulberry fruit polysaccharide 0.135
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.134
kombucha 0.134
Pork 0.131
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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