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: DePaul University Fatigue Questionnaire : Temperature lower than normal_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
Vitamin C (ascorbic acid) 0.522  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.515  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.473  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.462  ๐Ÿ“
Caffeine 0.455
๐Ÿ•ฎ  melatonin supplement 0.442  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.427  ๐Ÿ“
Arbutin (polyphenol) 0.427  ๐Ÿ“
Theobromine (in food) 0.427
luteolin (flavonoid) 0.427  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.427  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.427
diosmin,(polyphenol) 0.427  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.404  ๐Ÿ“
vitamin B3,niacin 0.392  ๐Ÿ“
Vitamin B9,folic acid 0.347  ๐Ÿ“
quercetin,resveratrol 0.282
Guaiacol (polyphenol) 0.264
linseed(flaxseed) 0.245  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.196
๐Ÿ•ฎ  cannabinoids 0.179
foeniculum vulgare,fennel 0.17
gluten-free diet 0.167
sucralose 0.159  ๐Ÿ“
l-glutamine 0.143  ๐Ÿ“
high animal protein diet 0.14
laser trilobum l.,kefe cumin 0.139
๐Ÿ•ฎ  lactobacillus rhamnosus gg,lactobacillus,rhamnosus,propionibacterium freudenreichii,bifidobacterium breve (probiotics) 0.136
chitooligosaccharides (prebiotic) 0.135  ๐Ÿ“
peppermint (spice, oil) 0.13
nigella sativa seed (black cumin) 0.127  ๐Ÿ“
oplopanax horridus(Devil's Club) 0.125
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.123  ๐Ÿ“
๐Ÿ•ฎ  Lentilactobacillus buchneri 0.123
๐Ÿ•ฎ  garlic (allium sativum) 0.122  ๐Ÿ“
tea 0.122
๐Ÿ•ฎ  hypericin, St. John's Wort 0.119
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.119
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.114
chitosan,(sugar) 0.113  ๐Ÿ“
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.107
Cranberry 0.099
mastic gum (prebiotic) 0.096  ๐Ÿ“
high sugar diet 0.095
๐Ÿ•ฎ  quebracho 0.093
camelina seed 0.091
๐Ÿ•ฎ  fucoidan 0.09  ๐Ÿ“
rosmarinus officinalis,rosemary 0.086
Baking Soda, Sodium Bicarbonate 0.084
cinnamon (oil. spice) 0.082  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus gasseri (probiotics) 0.08  ๐Ÿ“
๐Ÿ•ฎ  Cacao 0.078  ๐Ÿ“
green tea 0.076
whole-grain barley 0.072  ๐Ÿ“
low-fat high-complex carbohydrate diet 0.07
low carbohydrate diet 0.07
quercetin 0.07  ๐Ÿ“
high-protein diet 0.07
galla rhois 0.069
PreforPro 0.068

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 1
๐Ÿ•ฎ  inulin (prebiotic) 0.853
๐Ÿ•ฎ  berberine 0.604
triphala 0.534
resistant starch 0.458
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.37
arabinogalactan (prebiotic) 0.349
red wine 0.338
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.315
non-starch polysaccharides 0.281
walnuts 0.273
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.272
barley 0.219
๐Ÿ•ฎ  Pulses 0.213
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.213
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.205
resistant maltodextrin 0.205
saccharin 0.199
๐Ÿ•ฎ  vitamin d 0.195
pea (fiber, protein) 0.191
gallic acid (food additive) 0.184
wheat 0.181
salt (sodium chloride) 0.175
wheat bran 0.174
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.172
Vitamin E 0.165
ku ding cha tea 0.164
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.159
high salt 0.158
sodium butyrate 0.153
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.15
fasting 0.15
plantago asiatica l. 0.147
๐Ÿ•ฎ  Burdock Root 0.146
๐Ÿ•ฎ  glycine 0.141
๐Ÿ•ฎ  Fisetin 0.141
animal-based diet 0.133
fibre-rich macrobiotic ma-pi 2 diet 0.133
vegetarians 0.132
barley,oat 0.13
xylitol 0.129
raw potato starch 0.128
๐Ÿ•ฎ  lactobacillus rhamnosus (probiotics) 0.126
apple 0.125
Alpha-Ketoglutarate 0.116
l-citrulline 0.114
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.112
low protein diet 0.112
Conjugated Linoleic Acid 0.112
๐Ÿ•ฎ  pectin 0.108
๐Ÿ•ฎ  omega-3 fatty acids 0.106
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.101
๐Ÿ•ฎ  zinc 0.101
polysorbate 80 0.1
safflower oil 0.1
koji aspergillus oryzae 0.1
vitamin a 0.1
hypocaloric hyperproteic diet 0.1
xylan (prebiotic) 0.097
almonds/ almond skins 0.097
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.

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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