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: Physical: Steps Per Day 2000-4000 _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 📹
🕮  Hesperidin (polyphenol) 0.562  📏
🕮  Vitamin B1,thiamine hydrochloride 0.553  📏
🕮  N-Acetyl Cysteine (NAC), 0.532  📏
Caffeine 0.499
🕮  Vitamin B-12 0.479  📏
diosmin,(polyphenol) 0.474  📏
Arbutin (polyphenol) 0.474  📏
Theobromine (in food) 0.474
luteolin (flavonoid) 0.474  📏
🕮  Vitamin B6,pyridoxine hydrochloride 0.474  📏
retinoic acid,(Vitamin A derivative) 0.474
🕮  vitamin B7, biotin 0.465  📏
cinnamon (oil. spice) 0.411  📏
🕮  garlic (allium sativum) 0.397  📏
vitamin B3,niacin 0.396  📏
🕮  thyme (thymol, thyme oil) 0.386
peppermint (spice, oil) 0.377
🕮  lactobacillus paracasei (probiotics) 0.347  📏
🕮  lactobacillus casei (probiotics) 0.337  📏
neem 0.321  📏
sucralose 0.318  📏
🕮  melatonin supplement 0.315  📏
Vitamin B9,folic acid 0.28  📏
Guaiacol (polyphenol) 0.277
rosmarinus officinalis,rosemary 0.262
🕮  iron 0.26  📏
Vitamin C (ascorbic acid) 0.252  📏
linseed(flaxseed) 0.252  📏
galla chinensis (herb) 0.229
🕮  lactobacillus reuteri (probiotics) 0.217  📏
syzygium aromaticum (clove) 0.207
🕮  lactobacillus salivarius (probiotics) 0.207  📏
foeniculum vulgare,fennel 0.203
aloe vera 0.194
lemongrass oil 0.194
whole-grain barley 0.191  📏
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.191
trachyspermum ammi, Ajwain 0.189
Sumac(Rhus coriaria) 0.189
🕮  ethanol 0.188
whey 0.18  📏
glycyrrhizic acid (licorice) 0.175  📏
Kimchi 0.173
🕮  hypericin, St. John's Wort 0.172
🕮  lactobacillus kefiri (NOT KEFIR) 0.172
🕮  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.17
nigella sativa seed (black cumin) 0.162  📏
🕮  jatropha curcas [can be poisonous] 0.162
vegetable/fruit juice-based diets 0.161
salvia officinalis (sage) 0.149
mastic gum (prebiotic) 0.148  📏
🕮  bifidobacterium longum bb536 (probiotics) 0.145
laser trilobum l.,kefe cumin 0.144
oplopanax horridus(Devil's Club) 0.144
Curcumin 0.141  📏
epicatechin 0.139
(+)-catechin 0.139
xylaria hypoxylon (fungi) 0.132
withania somnifera,ashwagandha 0.132  📏
🕮  lactobacillus casei shirota (probiotics) 0.131  📏

To Remove or Decrease
Modifier Confidence 📹
🕮  berberine 1
🕮  inulin (prebiotic) 0.906
arabinogalactan (prebiotic) 0.722
red wine 0.577
Slippery Elm 0.475
🕮  saccharomyces boulardii (probiotics) 0.435
cranberry bean flour 0.431
fasting 0.426
🕮  lactulose 0.38
🕮  Pulses 0.374
ketogenic diet 0.355
apple 0.355
low-fat diets 0.337
xylan (prebiotic) 0.327
🕮  lactobacillus plantarum (probiotics) 0.318
🕮  lactobacillus rhamnosus gg (probiotics) 0.305
vsl#3 (probiotics) 0.3
gynostemma pentaphyllum (Jiaogulan) 0.296
🕮  grapes 0.292
barley 0.292
🕮  lactobacillus fermentum (probiotics) 0.291
resistant maltodextrin 0.282
saccharin 0.276
🕮  Akkermansia muciniphila (probiotic) 0.252
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.251
fish oil 0.243
non-starch polysaccharides 0.242
🕮  black raspberries 0.239
bacillus licheniformis,(probiotics) 0.238
l-citrulline 0.237
wheat bran 0.23
pomegranate 0.229
🕮  oligosaccharides (prebiotic) 0.227
grape seed extract 0.227
gallic acid (food additive) 0.22
🕮  resveratrol (grape seed/polyphenols/red wine) 0.219
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.219
🕮  Bofutsushosan 0.201
🕮  Astragalus polysaccharide 0.199
🕮  pectin 0.196
high red meat 0.196
ku ding cha tea 0.196
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.196
quercetin,resveratrol 0.188
bacillus coagulans (probiotics) 0.179
triphala 0.179
🕮  lactobacillus acidophilus (probiotics) 0.176
🕮  bifidobacterium lactis bb12 (probiotics) 0.171
resistant starch 0.169
levan 0.166
hypocaloric hyperproteic diet 0.164
barley,oat 0.164
walnuts 0.164
🕮  Reduce choline (Beef, Chicken Eggs) 0.162
rhubarb 0.161
polydextrose 0.161
🕮  fructo-oligosaccharides (prebiotic) 0.161
animal-based diet 0.155
polysorbate 80 0.155
🕮  vitamin d 0.155
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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