Why some suggestions may contradict

RECOMMENDED READING Caveats on using the contents of this page. ๐Ÿ‘จโ€โš•๏ธ

If you need help with this information, here is a list of consultants ๐Ÿ‘จโ€โš•๏ธ๐Ÿ‘ฉโ€โš•๏ธ 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?

๐Ÿฑ Food Menu Planner ๐Ÿฝ๏ธ ๐Ÿ“น 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 ๐Ÿ“น
๐Ÿ•ฎ  Hesperidin (polyphenol) 1  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.937  ๐Ÿ“
Caffeine 0.903
๐Ÿ•ฎ  Vitamin B-12 0.894  ๐Ÿ“
vitamin B3,niacin 0.869  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.867  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.825
diosmin,(polyphenol) 0.825  ๐Ÿ“
Arbutin (polyphenol) 0.825  ๐Ÿ“
Theobromine (in food) 0.825
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.825  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.78  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.773  ๐Ÿ“
Vitamin C (ascorbic acid) 0.767  ๐Ÿ“
mastic gum (prebiotic) 0.612  ๐Ÿ“
cinnamon (oil. spice) 0.597  ๐Ÿ“
Guaiacol (polyphenol) 0.577
oregano (origanum vulgare, oil) | 0.569
luteolin (flavonoid) 0.563  ๐Ÿ“
rosmarinus officinalis,rosemary 0.558
๐Ÿ•ฎ  garlic (allium sativum) 0.529  ๐Ÿ“
clostridium butyricum (probiotics),Miya,Miyarisan 0.503  ๐Ÿ“
foeniculum vulgare,fennel 0.488
Vitamin B9,folic acid 0.468  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.465  ๐Ÿ“
whole-grain barley 0.447  ๐Ÿ“
neem 0.447  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.424
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.415
chitosan,(sugar) 0.398  ๐Ÿ“
Curcumin 0.372  ๐Ÿ“
galla chinensis (herb) 0.369
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.369  ๐Ÿ“
sucralose 0.366  ๐Ÿ“
laser trilobum l.,kefe cumin 0.331
nigella sativa seed (black cumin) 0.326  ๐Ÿ“
๐Ÿ•ฎ  hypericin, St. John's Wort 0.315
tea 0.313
oplopanax horridus(Devil's Club) 0.304
whey 0.301  ๐Ÿ“
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.298
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.289  ๐Ÿ“
pediococcus acidilactic (probiotic) 0.281
olea europaea,olive leaf 0.276  ๐Ÿ“
green tea 0.267
peppermint (spice, oil) 0.266
pomegranate 0.265  ๐Ÿ“
bacillus subtilis (probiotics) 0.26  ๐Ÿ“
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.25
quercetin 0.244  ๐Ÿ“
rosa rugosa 0.221
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.217
๐Ÿ•ฎ  cannabinoids 0.214
๐Ÿ•ฎ  Cacao 0.208  ๐Ÿ“
๐Ÿ•ฎ  tulsi 0.207  ๐Ÿ“
inula viscosa,false yellowhead 0.202
galla rhois 0.201
syzygium aromaticum (clove) 0.193
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.18  ๐Ÿ“
Cranberry 0.179

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
arabinogalactan (prebiotic) 0.809
๐Ÿ•ฎ  berberine 0.703
red wine 0.679
๐Ÿ•ฎ  inulin (prebiotic) 0.639
๐Ÿ•ฎ  Pulses 0.595
non-starch polysaccharides 0.587
Slippery Elm 0.571
resistant starch 0.562
saccharin 0.426
mediterranean diet 0.421
๐Ÿ•ฎ  pectin 0.397
๐Ÿ•ฎ  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
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.3
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.3
๐Ÿ•ฎ  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
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.237
gallic acid (food additive) 0.222
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.221
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.22
๐Ÿ•ฎ  zinc 0.219
low-fat diets 0.218
animal-based diet 0.214
carboxymethyl cellulose (prebiotic) 0.213
๐Ÿ•ฎ  high-fat diets 0.211
rare meat 0.196
blackcurrant 0.192
vitamin a 0.186
๐Ÿ•ฎ  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
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.138
bacillus amyloliquefaciens (probiotic) 0.136
๐Ÿ•ฎ  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.

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Permission to data scrap or reverse engineer is explicitly denied to all users. U.S. Code Title 18 PART I CHAPTER 47 ยงโ€ฏ1030, 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.

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