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: Multiple Chemical Sensitivity_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) 0.601  ๐Ÿ“
Caffeine 0.577
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.572  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.568  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.527  ๐Ÿ“
vitamin B3,niacin 0.509  ๐Ÿ“
chitosan,(sugar) 0.508  ๐Ÿ“
Theobromine (in food) 0.502
luteolin (flavonoid) 0.502  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.502
diosmin,(polyphenol) 0.502  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.502  ๐Ÿ“
Arbutin (polyphenol) 0.502  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B-12 0.502  ๐Ÿ“
๐Ÿ•ฎ  vitamin B7, biotin 0.458  ๐Ÿ“
Vitamin B9,folic acid 0.452  ๐Ÿ“
nigella sativa seed (black cumin) 0.437  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.41  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.407  ๐Ÿ“
๐Ÿ•ฎ  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.395
high fodmap diet 0.387
๐Ÿ•ฎ  hypericin, St. John's Wort 0.387
laser trilobum l.,kefe cumin 0.387
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.387
oplopanax horridus(Devil's Club) 0.387
myristic acid(nutmeg butter, palm kernel oil, coconut oil, butterfat) 0.387
whole-grain barley 0.366  ๐Ÿ“
sucralose 0.347  ๐Ÿ“
Vitamin C (ascorbic acid) 0.311  ๐Ÿ“
๐Ÿ•ฎ  Cacao 0.307  ๐Ÿ“
cinnamon (oil. spice) 0.307  ๐Ÿ“
foeniculum vulgare,fennel 0.305
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.297
peppermint (spice, oil) 0.293
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.282
salvia officinalis (sage) 0.281
navy bean 0.269
linseed(flaxseed) 0.25  ๐Ÿ“
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.248
Guaiacol (polyphenol) 0.245
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.239  ๐Ÿ“
rosmarinus officinalis,rosemary 0.239
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.238  ๐Ÿ“
tea 0.234
๐Ÿ•ฎ  noni 0.228  ๐Ÿ“
neem 0.214  ๐Ÿ“
๐Ÿ•ฎ  bifidobacterium longum bb536 (probiotics) 0.212
Cranberry 0.2
๐Ÿ•ฎ  cannabinoids 0.189
๐Ÿ•ฎ  lactobacillus salivarius (probiotics) 0.187  ๐Ÿ“
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.182  ๐Ÿ“
Curcumin 0.175  ๐Ÿ“
brown rice 0.171
glycyrrhizic acid (licorice) 0.17  ๐Ÿ“
high-protein diet 0.163
vitamin a 0.162  ๐Ÿ“
galla rhois 0.16
high sugar diet 0.159
galla chinensis (herb) 0.157
quercetin,resveratrol 0.154

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
๐Ÿ•ฎ  inulin (prebiotic) 1
Slippery Elm 0.846
๐Ÿ•ฎ  berberine 0.814
arabinogalactan (prebiotic) 0.776
resistant starch 0.627
triphala 0.512
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.506
red wine 0.495
๐Ÿ•ฎ  Pulses 0.493
saccharin 0.47
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.43
non-starch polysaccharides 0.418
walnuts 0.403
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.387
resistant maltodextrin 0.385
xylan (prebiotic) 0.383
vegetarians 0.359
๐Ÿ•ฎ  bifidobacterium bifidum (probiotics) 0.34
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.337
gallic acid (food additive) 0.319
l-citrulline 0.31
apple 0.306
๐Ÿ•ฎ  pectin 0.281
wheat bran 0.279
levan 0.278
barley 0.27
stevia 0.262
๐Ÿ•ฎ  lactobacillus acidophilus (probiotics) 0.249
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.248
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.242
plantago asiatica l. 0.23
fat 0.217
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.214
gynostemma pentaphyllum (Jiaogulan) 0.212
l-proline 0.211
๐Ÿ•ฎ  zinc 0.206
fasting 0.201
pea (fiber, protein) 0.201
๐Ÿ•ฎ  Pistachio 0.193
๐Ÿ•ฎ  lactulose 0.193
raw potato starch 0.193
๐Ÿ•ฎ  vitamin d 0.192
๐Ÿ•ฎ  black raspberries 0.19
PreforPro 0.185
dietary phytoestrogens (isoflavones) 0.168
high red meat 0.167
ku ding cha tea 0.167
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.166
animal-based diet 0.166
fruit/legume fibre 0.166
barley,oat 0.161
๐Ÿ•ฎ  Goji (berry,juice) 0.158
genistein 0.158
hypocaloric hyperproteic diet 0.157
๐Ÿ•ฎ  bifidobacterium longum (probiotics) 0.156
mediterranean diet 0.156
slow digestible carbohydrates 0.15
dietary fiber 0.149
bacillus licheniformis,(probiotics) 0.148
refined wheat breads 0.145
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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