Why some suggestions may contradict

RECOMMENDED READING Caveats on using the contents of this page. 👨‍⚕️

If you need help with this information, here is a list of consultants 👨‍⚕️👩‍⚕️ that are available.

Suggestion Parameters
Sample:A Priori (from theoretical deduction)
Bacteria Selection:Outside of Range
Filter: From Special Studies V2: Immune Manifestations: hives_No_Drugs
Rank Used: All Ranks
Shifts Used:High and Low Levels
Citations Used:

How do we know if the suggestions are reasonable/valid?

🍱 Food Menu Planner 🍽️ 📹 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 📹
chitosan,(sugar) 0.738  📏
🕮  Hesperidin (polyphenol) 0.731  📏
🕮  N-Acetyl Cysteine (NAC), 0.702  📏
Caffeine 0.687
Vitamin B9,folic acid 0.647  📏
🕮  Vitamin B1,thiamine hydrochloride 0.598  📏
Arbutin (polyphenol) 0.584  📏
🕮  Vitamin B-12 0.584  📏
Theobromine (in food) 0.584
🕮  Vitamin B6,pyridoxine hydrochloride 0.584  📏
retinoic acid,(Vitamin A derivative) 0.584
diosmin,(polyphenol) 0.584  📏
🕮  melatonin supplement 0.584  📏
🕮  vitamin B7, biotin 0.584  📏
luteolin (flavonoid) 0.567  📏
vitamin B3,niacin 0.555  📏
Vitamin C (ascorbic acid) 0.452  📏
🕮  lactobacillus casei (probiotics) 0.347  📏
🕮  Cacao 0.33  📏
sucralose 0.318  📏
galla rhois 0.275
🕮  bifidobacterium animalis lactis (probiotics) 0.246  📏
linseed(flaxseed) 0.245  📏
foeniculum vulgare,fennel 0.241
high-protein diet 0.239
Curcumin 0.239  📏
🕮  cannabinoids 0.238
whole-grain barley 0.222  📏
🕮  garlic (allium sativum) 0.211  📏
high sugar diet 0.209
Guaiacol (polyphenol) 0.2
cellulose (prebiotic) 0.198
brown rice 0.187
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.185
Cranberry 0.167
Konjaku flour 0.155
🕮  thyme (thymol, thyme oil) 0.153
sorghum 0.153
nigella sativa seed (black cumin) 0.153  📏
whey 0.152  📏
methionine-choline-deficient (MCD) diet 0.144
low carbohydrate diet 0.141
oplopanax horridus(Devil's Club) 0.138
🕮  jatropha curcas [can be poisonous] 0.138
laser trilobum l.,kefe cumin 0.138
🕮  hypericin, St. John's Wort 0.138
🕮  bifidobacterium lactis,streptococcus thermophilus probiotic 0.138
anise 0.138  📏
peppermint (spice, oil) 0.138
🕮  lactobacillus kefiri (NOT KEFIR) 0.138
cinnamon (oil. spice) 0.137  📏
rosa rugosa 0.133
neem 0.133  📏
galla chinensis (herb) 0.133
🕮  naringenin(grapefruit) (Flavonoid) 0.133
🕮  bifidobacterium infantis,(probiotics) 0.129  📏
🕮  bifidobacterium breve (probiotic) 0.127  📏
lupin kernel fiber (legume) (anaphylaxis risk, toxic if not prepared properly) 0.126
🕮  bifidobacterium longum bb536 (probiotics) 0.125
green tea 0.122

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
arabinogalactan (prebiotic) 0.979
resistant starch 0.862
Slippery Elm 0.8
red wine 0.732
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.706
🕮  lactobacillus plantarum (probiotics) 0.566
saccharin 0.534
🕮  berberine 0.518
resistant maltodextrin 0.508
🕮  lactobacillus acidophilus (probiotics) 0.492
🕮  Pulses 0.468
vegetarians 0.44
triphala 0.424
🕮  pectin 0.415
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.411
apple 0.387
refined wheat breads 0.381
xylan (prebiotic) 0.376
plantago asiatica l. 0.376
levan 0.36
stevia 0.357
non-starch polysaccharides 0.32
wheat bran 0.312
🕮  glucose (sugar) 0.305
🕮  cruciferous vegetables (broccoli cabbage) 0.293
dietary fiber 0.289
🕮  lactobacillus rhamnosus gg (probiotics) 0.287
dietary phytoestrogens (isoflavones) 0.277
🕮  Burdock Root 0.276
pomegranate 0.275
l-proline 0.272
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.269
gallic acid (food additive) 0.269
barley 0.263
genistein 0.257
l-citrulline 0.254
🕮  ß-glucan 0.244
germinated barley food-stuff 0.243
bacillus,lactobacillus,streptococcus,saccharomyces probiotic 0.243
bacillus licheniformis,(probiotics) 0.242
🕮  black raspberries 0.235
🕮  saccharomyces boulardii (probiotics) 0.229
Psyllium (Plantago Ovata Husk) 0.227
🕮  zinc 0.224
🕮  iron 0.224
green-lipped mussel 0.223
low-fat diets 0.219
carboxymethyl cellulose (prebiotic) 0.214
high fiber diet 0.21
barley,oat 0.207
🕮  resveratrol (grape seed/polyphenols/red wine) 0.206
animal-based diet 0.19
🕮  galacto-oligosaccharides (prebiotic) 0.183
🕮  lactobacillus fermentum (probiotics) 0.18
pea (fiber, protein) 0.164
ku ding cha tea 0.163
hypocaloric hyperproteic diet 0.16
polygonatum kingianum(Orange Flower Solomon's Seal.) 0.158
🕮  Goji (berry,juice) 0.158
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 § 1030, 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.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.


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