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: Neurological-Sleep: Night Sweats_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


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) 0.58  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.568  ๐Ÿ“
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.552  ๐Ÿ“
laser trilobum l.,kefe cumin 0.532
Caffeine 0.531
๐Ÿ•ฎ  hypericin, St. John's Wort 0.485
๐Ÿ•ฎ  Vitamin B-12 0.483  ๐Ÿ“
Arbutin (polyphenol) 0.47  ๐Ÿ“
Theobromine (in food) 0.47
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.47  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.47
diosmin,(polyphenol) 0.47  ๐Ÿ“
luteolin (flavonoid) 0.451  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.445  ๐Ÿ“
vitamin B3,niacin 0.44  ๐Ÿ“
Vitamin C (ascorbic acid) 0.435  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.428  ๐Ÿ“
sucralose 0.401  ๐Ÿ“
Vitamin B9,folic acid 0.396  ๐Ÿ“
foeniculum vulgare,fennel 0.374
chitosan,(sugar) 0.343  ๐Ÿ“
oplopanax horridus(Devil's Club) 0.322
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.308
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.305
๐Ÿ•ฎ  garlic (allium sativum) 0.304  ๐Ÿ“
high fodmap diet 0.299
myristic acid(nutmeg butter, palm kernel oil, coconut oil, butterfat) 0.299
chitooligosaccharides (prebiotic) 0.292  ๐Ÿ“
nigella sativa seed (black cumin) 0.285  ๐Ÿ“
salvia officinalis (sage) 0.279
high animal protein diet 0.26
๐Ÿ•ฎ  bifidobacterium infantis,(probiotics) 0.255  ๐Ÿ“
camelina seed 0.245
whey 0.236  ๐Ÿ“
Guaiacol (polyphenol) 0.224
whole-grain barley 0.218  ๐Ÿ“
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.216
high sugar diet 0.21
Curcumin 0.209  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.206  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.204  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.204
cinnamon (oil. spice) 0.203  ๐Ÿ“
quercetin,resveratrol 0.198
tea 0.186
low carbohydrate diet 0.18
๐Ÿ•ฎ  bifidobacterium pseudocatenulatum li09,bifidobacterium catenulatum li10 (probiotics) 0.176
neem 0.176  ๐Ÿ“
Hawthorn [Crataegus monogyna Jacq.,Crataegus oxyacantha L] 0.169
galla chinensis (herb) 0.165
quercetin 0.155  ๐Ÿ“
Cranberry 0.154
๐Ÿ•ฎ  cannabinoids 0.151
rosmarinus officinalis,rosemary 0.149
๐Ÿ•ฎ  bifidobacterium longum bb536 (probiotics) 0.147
sorghum 0.146
high-protein diet 0.145
l-glutamine 0.144  ๐Ÿ“
low fodmap diet 0.143
lemon oil 0.142

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.744
resistant starch 0.679
Slippery Elm 0.665
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.608
๐Ÿ•ฎ  berberine 0.601
๐Ÿ•ฎ  Pulses 0.598
red wine 0.541
saccharin 0.538
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.502
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.478
๐Ÿ•ฎ  vitamin d 0.435
non-starch polysaccharides 0.418
walnuts 0.38
wheat bran 0.377
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.362
resistant maltodextrin 0.337
๐Ÿ•ฎ  Burdock Root 0.33
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.327
ketogenic diet 0.325
mediterranean diet 0.324
soy 0.321
fasting 0.302
l-citrulline 0.293
l-proline 0.285
triphala 0.28
gallic acid (food additive) 0.279
navy bean 0.275
๐Ÿ•ฎ  pectin 0.273
vegetarians 0.273
xylan (prebiotic) 0.265
pea (fiber, protein) 0.26
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.242
stevia 0.241
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.234
animal-based diet 0.233
๐Ÿ•ฎ  lactulose 0.221
barley,oat 0.218
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.218
levan 0.216
plantago asiatica l. 0.216
apple 0.21
almonds/ almond skins 0.209
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.206
gynostemma pentaphyllum (Jiaogulan) 0.204
fibre-rich macrobiotic ma-pi 2 diet 0.202
PreforPro 0.202
hypocaloric hyperproteic diet 0.2
daesiho-tang 0.198
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.198
๐Ÿ•ฎ  zinc 0.195
aspartame (sweetner) 0.194
high red meat 0.19
salt (sodium chloride) 0.19
carboxymethyl cellulose (prebiotic) 0.175
jerusalem artichoke (prebiotic) 0.169
๐Ÿ•ฎ  bifidobacterium bifidum (probiotics) 0.168
fat 0.164
wheat 0.163
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.161
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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