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: DePaul University Fatigue Questionnaire : Mood swings_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 📹
🕮  N-Acetyl Cysteine (NAC), 0.515  📏
Vitamin B9,folic acid 0.483  📏
🕮  Hesperidin (polyphenol) 0.479  📏
Caffeine 0.476
🕮  Vitamin B1,thiamine hydrochloride 0.473  📏
Vitamin C (ascorbic acid) 0.453  📏
🕮  melatonin supplement 0.451  📏
foeniculum vulgare,fennel 0.434
diosmin,(polyphenol) 0.395  📏
🕮  vitamin B7, biotin 0.395  📏
Arbutin (polyphenol) 0.395  📏
🕮  Vitamin B6,pyridoxine hydrochloride 0.395  📏
retinoic acid,(Vitamin A derivative) 0.395
Theobromine (in food) 0.395
luteolin (flavonoid) 0.395  📏
🕮  Vitamin B-12 0.395  📏
🕮  hypericin, St. John's Wort 0.35
oplopanax horridus(Devil's Club) 0.319
laser trilobum l.,kefe cumin 0.303
vitamin B3,niacin 0.297  📏
🕮  jatropha curcas [can be poisonous] 0.283
nigella sativa seed (black cumin) 0.274  📏
sucralose 0.261  📏
Cranberry 0.234
cranberry bean flour 0.198
chitosan,(sugar) 0.181  📏
whole-grain barley 0.174  📏
🕮  lauric acid(fatty acid in coconut oil,in palm kernel oil,) 0.171
🕮  lactobacillus casei (probiotics) 0.168  📏
Guaiacol (polyphenol) 0.167
chitooligosaccharides (prebiotic) 0.162  📏
momordia charantia(bitter melon, karela, balsam pear, or bitter gourd) 0.162
🕮  garlic (allium sativum) 0.157  📏
🕮  cannabinoids 0.151
cinnamon (oil. spice) 0.151  📏
linseed(flaxseed) 0.151  📏
whey 0.14  📏
gluten-free diet 0.128
high sugar diet 0.127
Grapefruit seed extract 0.117
sorghum 0.113
🕮  lactobacillus salivarius (probiotics) 0.112  📏
l-glutamine 0.107  📏
vegetable/fruit juice-based diets 0.105
🕮  Tributyrin 0.105
anise 0.104  📏
peppermint (spice, oil) 0.104
🕮  lactobacillus kefiri (NOT KEFIR) 0.104
🕮  thyme (thymol, thyme oil) 0.104
🕮  bifidobacterium lactis,streptococcus thermophilus probiotic 0.104
🕮  mannooligosaccharide (prebiotic) 0.099  📏
brassica juncea 0.094
glycyrrhizic acid (licorice) 0.093  📏
tea 0.092
Apple skin 0.086
Caraway 0.084
Papaya leaf 0.084
Epazote 0.084
Tea tree 0.084
Honeysuckle 0.084

To Remove or Decrease
Modifier Confidence 📹
🕮  inulin (prebiotic) 1
Slippery Elm 0.818
🕮  berberine 0.669
resistant starch 0.579
🕮  lactobacillus plantarum (probiotics) 0.558
red wine 0.55
arabinogalactan (prebiotic) 0.501
🕮  Human milk oligosaccharides (prebiotic, Holigos, Stachyose) 0.446
triphala 0.428
saccharin 0.426
🕮  saccharomyces boulardii (probiotics) 0.406
🕮  Pulses 0.386
🕮  lactobacillus rhamnosus gg (probiotics) 0.351
🕮  Reduce choline (Beef, Chicken Eggs) 0.31
non-starch polysaccharides 0.308
stevia 0.294
xylan (prebiotic) 0.286
barley 0.28
lupin seeds (anaphylaxis risk, toxic if not prepared properly) 0.253
walnuts 0.252
resistant maltodextrin 0.246
🕮  vitamin d 0.245
gallic acid (food additive) 0.241
wheat bran 0.229
high red meat 0.228
whole grain diet 0.228
fasting 0.224
hypocaloric hyperproteic diet 0.223
schisandra chinensis(magnolia berry or five-flavor-fruit) 0.21
l-citrulline 0.21
vegetarians 0.208
🕮  pectin 0.206
animal-based diet 0.198
apple 0.196
🕮  lactobacillus fermentum (probiotics) 0.184
fibre-rich macrobiotic ma-pi 2 diet 0.162
soy 0.16
low-fat diets 0.158
salt (sodium chloride) 0.147
raw potato starch 0.144
ketogenic diet 0.141
🕮  bifidobacterium longum (probiotics) 0.138
🕮  ß-glucan 0.136
🕮  cruciferous vegetables (broccoli cabbage) 0.134
levan 0.133
gynostemma pentaphyllum (Jiaogulan) 0.133
🕮  Burdock Root 0.128
sodium butyrate 0.127
🕮  lactobacillus reuteri (probiotics) 0.124
🕮  bifidobacterium bifidum (probiotics) 0.121
barley,oat 0.116
Alpha-Ketoglutarate 0.115
plantago asiatica l. 0.115
pea (fiber, protein) 0.115
Pork 0.111
nuts 0.111
high salt 0.109
🕮  lactobacillus acidophilus (probiotics) 0.105
Tryptophan 0.104
slow digestible carbohydrates 0.104
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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