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: Immune Manifestations: Chronic Flatus / Flatulence / gas _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
foeniculum vulgare,fennel 1
๐Ÿ•ฎ  Vitamin B-12 0.941  ๐Ÿ“
๐Ÿ•ฎ  Hesperidin (polyphenol) 0.858  ๐Ÿ“
๐Ÿ•ฎ  garlic (allium sativum) 0.818  ๐Ÿ“
Caffeine 0.787
๐Ÿ•ฎ  N-Acetyl Cysteine (NAC), 0.787  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B1,thiamine hydrochloride 0.758  ๐Ÿ“
cinnamon (oil. spice) 0.718  ๐Ÿ“
๐Ÿ•ฎ  Vitamin B6,pyridoxine hydrochloride 0.7  ๐Ÿ“
luteolin (flavonoid) 0.7  ๐Ÿ“
Theobromine (in food) 0.7
๐Ÿ•ฎ  vitamin B7, biotin 0.7  ๐Ÿ“
Arbutin (polyphenol) 0.7  ๐Ÿ“
retinoic acid,(Vitamin A derivative) 0.7
diosmin,(polyphenol) 0.7  ๐Ÿ“
laser trilobum l.,kefe cumin 0.691
๐Ÿ•ฎ  hypericin, St. John's Wort 0.652
Vitamin C (ascorbic acid) 0.652  ๐Ÿ“
neem 0.652  ๐Ÿ“
vitamin B3,niacin 0.638  ๐Ÿ“
oregano (origanum vulgare, oil) | 0.617
nigella sativa seed (black cumin) 0.594  ๐Ÿ“
clostridium butyricum (probiotics),Miya,Miyarisan 0.559  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus reuteri (probiotics) 0.555  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus casei (probiotics) 0.541  ๐Ÿ“
Curcumin 0.53  ๐Ÿ“
๐Ÿ•ฎ  melatonin supplement 0.495  ๐Ÿ“
Guaiacol (polyphenol) 0.485
๐Ÿ•ฎ  jatropha curcas [can be poisonous] 0.482
๐Ÿ•ฎ  thyme (thymol, thyme oil) 0.476
Vitamin B9,folic acid 0.474  ๐Ÿ“
oplopanax horridus(Devil's Club) 0.463
๐Ÿ•ฎ  lactobacillus rhamnosus gg (probiotics) 0.442  ๐Ÿ“
chitosan,(sugar) 0.431  ๐Ÿ“
whey 0.421  ๐Ÿ“
peppermint (spice, oil) 0.416
syzygium aromaticum (clove) 0.414
rosmarinus officinalis,rosemary 0.381
barley 0.351  ๐Ÿ“
galla chinensis (herb) 0.322
sucralose 0.307  ๐Ÿ“
schinus molle (herb) 0.305
coriander oil 0.302
whole-grain barley 0.299  ๐Ÿ“
salvia officinalis (sage) 0.284
bioflorin,enterococcus faecium sf 68,(probiotics) 0.282
mutaflor escherichia coli nissle 1917 (probiotics) 0.252  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus paracasei (probiotics) 0.246  ๐Ÿ“
tea 0.244
laminaria hyperborea( tangle/cuvie - seaweed) 0.241
chitooligosaccharides (prebiotic) 0.236  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus plantarum (probiotics) 0.231  ๐Ÿ“
๐Ÿ•ฎ  selenium 0.219  ๐Ÿ“
pediococcus acidilactic (probiotic) 0.214
๐Ÿ•ฎ  tulsi 0.208  ๐Ÿ“
๐Ÿ•ฎ  lactobacillus kefiri (NOT KEFIR) 0.189
linseed(flaxseed) 0.188  ๐Ÿ“
trachyspermum ammi, Ajwain 0.186
d-fructose (sugar) 0.183
๐Ÿ•ฎ  Fisetin 0.178  ๐Ÿ“

To Remove or Decrease

Modifier Confidence ๐Ÿ“น
aspartame (sweetner) 0.95
๐Ÿ•ฎ  inulin (prebiotic) 0.914
arabinogalactan (prebiotic) 0.762
๐Ÿ•ฎ  Reduce choline (Beef, Chicken Eggs) 0.632
๐Ÿ•ฎ  berberine 0.627
๐Ÿ•ฎ  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.615
resistant starch 0.599
๐Ÿ•ฎ  fructo-oligosaccharides (prebiotic) 0.568
Slippery Elm 0.526
red wine 0.506
wheat bran 0.485
fasting 0.461
๐Ÿ•ฎ  lactulose 0.432
blueberry 0.399
non-starch polysaccharides 0.391
๐Ÿ•ฎ  Pulses 0.354
๐Ÿ•ฎ  saccharomyces boulardii (probiotics) 0.335
๐Ÿ•ฎ  galacto-oligosaccharides (prebiotic) 0.313
saccharin 0.31
ku ding cha tea 0.301
๐Ÿ•ฎ  pectin 0.292
resistant maltodextrin 0.291
l-proline 0.283
๐Ÿ•ฎ  oligosaccharides (prebiotic) 0.278
navy bean 0.261
apple 0.256
barley,oat 0.255
levan 0.255
xylan (prebiotic) 0.243
symbioflor 2 e.coli probiotics 0.243
raffinose(sugar beet) 0.24
almonds/ almond skins 0.237
fish oil 0.229
๐Ÿ•ฎ  zinc 0.224
jerusalem artichoke (prebiotic) 0.224
๐Ÿ•ฎ  acetic acid 0.223
General Biotics Equilibrium 0.218
l-citrulline 0.217
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.217
๐Ÿ•ฎ  lactobacillus fermentum (probiotics) 0.216
wheat 0.215
green-lipped mussel 0.213
gynostemma pentaphyllum (Jiaogulan) 0.211
cranberry bean flour 0.21
๐Ÿ•ฎ  resveratrol (grape seed/polyphenols/red wine) 0.21
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.205
vsl#3 (probiotics) 0.196
chondrus crispus,red sea weed 0.191
daesiho-tang 0.191
ketogenic diet 0.184
low-fat diets 0.183
pea (fiber, protein) 0.177
stevia 0.177
soy 0.175
sodium butyrate 0.173
safflower oil 0.173
grape seed extract 0.172
mediterranean diet 0.171
fibre-rich macrobiotic ma-pi 2 diet 0.169
hypocaloric hyperproteic diet 0.167
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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