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: Comorbid-Mouth: Mouth Sores_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 B9,folic acid 0.499  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.488  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.481  ๐Ÿ“
Caffeine 0.459
vitamin B3,niacin 0.444  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.42  ๐Ÿ“
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.417  ๐Ÿ“
salvia officinalis (sage) 0.412
luteolin (flavonoid) 0.39  ๐Ÿ“
Theobromine (in food) 0.39
๐Ÿ•ฎ  melatonin supplement 0.39  ๐Ÿ“
diosmin,(polyphenol) 0.39  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.39  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.39
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.39  ๐Ÿ“
Arbutin (polyphenol) 0.39  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.383  ๐Ÿ“
Vitamin C (ascorbic acid) 0.353  ๐Ÿ“
nigella sativa seed (black cumin) 0.323  ๐Ÿ“
myristic acid(nutmeg butter, palm kernel oil, coconut oil, butterfat) 0.322
high fodmap diet 0.322
laser trilobum l.,kefe cumin 0.316
oplopanax horridus(Devil's Club) 0.316
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.285
๐Ÿ•ฎ  hypericin, St. John's Wort 0.285
Guaiacol (polyphenol) 0.239
sucralose 0.237  ๐Ÿ“
Cranberry 0.233
๐Ÿ•ฎ  cannabinoids 0.213
chitosan,(sugar) 0.204  ๐Ÿ“
low carbohydrate diet 0.198
quercetin,resveratrol 0.197
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.185
whole-grain barley 0.184  ๐Ÿ“
high sugar diet 0.182
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.166
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.165
๐Ÿ•ฎ  bifidobacterium longum bb536 (probiotics) 0.161
๐Ÿ•ฎ  garlic (allium sativum) 0.151  ๐Ÿ“
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.147
plantain bananas 0.133
๐Ÿ•ฎ  bifidobacterium longum,lactobacillus helveticus (probiotics) 0.133
grape polyphenols 0.124
high animal protein diet 0.12
๐Ÿ•ฎ  noni 0.117  ๐Ÿ“
๐Ÿ•ฎ  Nicotine, Nicotine Patch 0.114
gluten-free diet 0.111
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.11  ๐Ÿ“
high-protein diet 0.103
tea 0.099
sugar 0.098
green tea 0.098
๐Ÿ•ฎ  naringenin(grapefruit) (Flavonoid) 0.098
chitooligosaccharides (prebiotic) 0.093  ๐Ÿ“
Dandelion 0.09
Konjaku flour 0.09
Onion 0.09
๐Ÿ•ฎ  bifidobacterium breve (probiotic) 0.09  ๐Ÿ“
Soy sauce 0.09
Coffee 0.09

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
Slippery Elm 1
๐Ÿ•ฎ  inulin (prebiotic) 0.708
arabinogalactan (prebiotic) 0.618
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.557
๐Ÿ•ฎ  berberine 0.541
๐Ÿ•ฎ  Pulses 0.537
saccharin 0.519
resistant starch 0.487
red wine 0.464
walnuts 0.435
wheat bran 0.42
xylan (prebiotic) 0.42
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.413
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.38
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.377
triphala 0.367
PreforPro 0.322
stevia 0.316
๐Ÿ•ฎ  vitamin d 0.316
l-citrulline 0.31
non-starch polysaccharides 0.278
mediterranean diet 0.256
gallic acid (food additive) 0.255
๐Ÿ•ฎ  pectin 0.254
gynostemma pentaphyllum (Jiaogulan) 0.249
๐Ÿ•ฎ  lactulose 0.237
blueberry 0.235
pea (fiber, protein) 0.225
resistant maltodextrin 0.217
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.211
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.211
wheat 0.208
apple 0.208
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.207
fat 0.187
ganoderma lucidum mycelium 0.182
vegetarians 0.171
Psyllium (Plantago Ovata Husk) 0.169
fibre-rich macrobiotic ma-pi 2 diet 0.167
carboxymethyl cellulose (prebiotic) 0.164
navy bean 0.16
ketogenic diet 0.157
starch-fed 0.155
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.154
daesiho-tang 0.151
๐Ÿ•ฎ  iron 0.15
Pork 0.149
laminaria digitata,oarweed - seaweed 0.149
barley,oat 0.148
๐Ÿ•ฎ  Goji (berry,juice) 0.143
nuts 0.142
dietary fiber 0.139
fasting 0.134
๐Ÿ•ฎ  glucose (sugar) 0.133
d-trehalose (sugar) 0.133
ku ding cha tea 0.131
low-fat diets 0.127
blackcurrant 0.124
coptis chinensis, Chinese goldthread 0.124
propionate 0.124
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 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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