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: Neuroendocrine: Sweating hands_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 📹
vitamin B3,niacin 0.869  📏
Vitamin B9,folic acid 0.783  📏
🕮  Hesperidin (polyphenol) 0.77  📏
🕮  N-Acetyl Cysteine (NAC), 0.737  📏
Caffeine 0.723
🕮  Vitamin B1,thiamine hydrochloride 0.692  📏
Arbutin (polyphenol) 0.637  📏
🕮  Vitamin B-12 0.637  📏
Theobromine (in food) 0.637
luteolin (flavonoid) 0.637  📏
🕮  Vitamin B6,pyridoxine hydrochloride 0.637  📏
retinoic acid,(Vitamin A derivative) 0.637
diosmin,(polyphenol) 0.637  📏
Vitamin C (ascorbic acid) 0.631  📏
🕮  melatonin supplement 0.613  📏
🕮  vitamin B7, biotin 0.6  📏
chitosan,(sugar) 0.486  📏
whole-grain barley 0.475  📏
sucralose 0.415  📏
Guaiacol (polyphenol) 0.329
🕮  lactobacillus kefiri (NOT KEFIR) 0.312
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.298
Curcumin 0.295  📏
🕮  lactobacillus casei (probiotics) 0.274  📏
🕮  cannabinoids 0.247
mastic gum (prebiotic) 0.238  📏
high-protein diet 0.238
🕮  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.233
🕮  garlic (allium sativum) 0.229  📏
foeniculum vulgare,fennel 0.226
gluten-free diet 0.221
brown rice 0.214
nigella sativa seed (black cumin) 0.212  📏
🕮  hypericin, St. John's Wort 0.21
laser trilobum l.,kefe cumin 0.21
salvia officinalis (sage) 0.203
🕮  jatropha curcas [can be poisonous] 0.196
oplopanax horridus(Devil's Club) 0.196
green tea 0.196
low carbohydrate diet 0.195
rosmarinus officinalis,rosemary 0.189
galla rhois 0.183
sorghum 0.17
grape polyphenols 0.162
🕮  bifidobacterium lactis,streptococcus thermophilus probiotic 0.16
🕮  thyme (thymol, thyme oil) 0.154
Cranberry 0.153
🕮  Cacao 0.151  📏
refined wheat breads 0.15
🕮  Turmeric 0.148  📏
anise 0.148  📏
peppermint (spice, oil) 0.148
pediococcus acidilactic (probiotic) 0.148
polyphenols 0.148  📏
🕮  bifidobacterium longum bb536 (probiotics) 0.147
🕮  noni 0.147  📏
Kimchi 0.146
🕮  lactobacillus brevis (probiotics) 0.145  📏
🕮  resveratrol (grape seed/polyphenols/red wine) 0.143  📏
quercetin,resveratrol 0.14

To Remove or Decrease
Modifier Confidence 📹
arabinogalactan (prebiotic) 1
Slippery Elm 0.996
🕮  berberine 0.845
🕮  inulin (prebiotic) 0.845
red wine 0.843
🕮  Pulses 0.763
🕮  lactobacillus plantarum (probiotics) 0.649
saccharin 0.643
non-starch polysaccharides 0.606
resistant starch 0.59
xylan (prebiotic) 0.58
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.559
wheat bran 0.516
vegetarians 0.496
ketogenic diet 0.478
l-citrulline 0.464
resistant maltodextrin 0.458
triphala 0.45
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.428
navy bean 0.405
🕮  vitamin d 0.386
🕮  pectin 0.375
pomegranate 0.35
pea (fiber, protein) 0.343
🕮  lactobacillus rhamnosus gg (probiotics) 0.338
gallic acid (food additive) 0.336
mediterranean diet 0.334
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.306
🕮  iron 0.304
🕮  Reduce choline (Beef, Chicken Eggs) 0.301
apple 0.291
🕮  galacto-oligosaccharides (prebiotic) 0.289
plantago asiatica l. 0.284
stevia 0.276
🕮  oligosaccharides (prebiotic) 0.272
l-proline 0.271
levan 0.263
🕮  lactobacillus acidophilus (probiotics) 0.248
low-fat diets 0.242
propionate 0.225
cranberry bean flour 0.222
fasting 0.209
🕮  bifidobacterium longum (probiotics) 0.208
animal-based diet 0.205
blackcurrant 0.204
high carbohydrate diet 0.199
fibre-rich macrobiotic ma-pi 2 diet 0.196
gynostemma pentaphyllum (Jiaogulan) 0.193
coptis chinensis, Chinese goldthread 0.193
nuts 0.189
🕮  Bofutsushosan 0.188
fat 0.183
🕮  saccharomyces boulardii (probiotics) 0.179
high red meat 0.176
walnuts 0.175
Psyllium (Plantago Ovata Husk) 0.172
partially hydrolysed guar gum,fructo-oligosaccharides (prebiotic) 0.171
bacillus licheniformis,(probiotics) 0.171
Miso 0.171
Alpha-Ketoglutarate 0.166
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.
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